#METABOLOMICS WORKBENCH araskind_20200226_054131 DATATRACK_ID:1931 STUDY_ID:ST001325 ANALYSIS_ID:AN002204 PROJECT_ID:PR000902
VERSION             	1
CREATED_ON             	March 10, 2020, 1:46 pm
#PROJECT
PR:PROJECT_TITLE                 	Obesity and Poor Diet as Susceptibility Factors for Secondhand Smoke in
PR:PROJECT_TITLE                 	Childhood Asthma
PR:PROJECT_TYPE                  	MS analysis
PR:PROJECT_SUMMARY               	Investigating Overweight/Obesity and Poor Diet as Susceptibility Factors for
PR:PROJECT_SUMMARY               	Secondhand Smoke in Childhood Asthma
PR:INSTITUTE                     	Johns Hopkins University School of Medicine
PR:DEPARTMENT                    	Pulmonary & Critical Care Medicine
PR:LABORATORY                    	McCormack, Meredith Lab
PR:LAST_NAME                     	McCormack
PR:FIRST_NAME                    	Meredith
PR:ADDRESS                       	733 North Broadway, Suite G49 Baltimore, MD 21205-2196
PR:EMAIL                         	mmccor16@jhmi.edu
PR:PHONE                         	410-955-0036
#STUDY
ST:STUDY_TITLE                   	Obesity and Poor Diet as Susceptibility Factors for Secondhand Smoke in
ST:STUDY_TITLE                   	Childhood Asthma
ST:STUDY_TYPE                    	MS analysis
ST:STUDY_SUMMARY                 	Aim 1: To investigate the effect of SHS exposure on asthma morbidity, systemic
ST:STUDY_SUMMARY                 	inflammation and oxidative stress among inner-city children with asthma.
ST:STUDY_SUMMARY                 	Hypotheses 1.Increasing SHS exposure will be associated with increases in asthma
ST:STUDY_SUMMARY                 	morbidity, systemic inflammation and oxidative stress. Aim 2: To determine if
ST:STUDY_SUMMARY                 	being overweight/obese modifies the effect of SHS exposure on respiratory
ST:STUDY_SUMMARY                 	symptoms, inflammation and oxidative stress responses among inner-city children
ST:STUDY_SUMMARY                 	with asthma.Hypothesis 2. SHS exposure will be associated with a worsened asthma
ST:STUDY_SUMMARY                 	and increases in systemic inflammation and oxidative stress among
ST:STUDY_SUMMARY                 	overweight/obese children compared to normal weight children. Aim 3: To
ST:STUDY_SUMMARY                 	determine if diet quality modifies the effect of SHS exposure on respiratory
ST:STUDY_SUMMARY                 	symptoms, inflammation and oxidative stress responses among inner-city children
ST:STUDY_SUMMARY                 	with asthma. Hypothesis 3. SHS smoke exposure will associated with worsened
ST:STUDY_SUMMARY                 	respiratory symptoms and increases in inflammation and oxidative stress among
ST:STUDY_SUMMARY                 	children with poor quality diet compared those with better quality diet
ST:STUDY_SUMMARY                 	inner-city children with asthma. (Diet will be assessed by dietary inflammatory
ST:STUDY_SUMMARY                 	index, healthy eating index, and additional serum markers proposed in this
ST:STUDY_SUMMARY                 	application).
ST:INSTITUTE                     	University of Michigan
ST:DEPARTMENT                    	Biomedical Research Core Facilities
ST:LABORATORY                    	Metabolomics core
ST:LAST_NAME                     	Kachman
ST:FIRST_NAME                    	Maureen
ST:ADDRESS                       	Ann Arbor, MI
ST:EMAIL                         	mkachman@med.umich.edu
ST:PHONE                         	734-232-0842
ST:TOTAL_SUBJECTS                	185
ST:STUDY_COMMENTS                	Low-income minority children in urban areas often inhabit an environment that
ST:STUDY_COMMENTS                	has excessive pollution and these children are at risk for obesity and poor
ST:STUDY_COMMENTS                	diet. Secondhand smoke (SHS) is a common exposure in homes of children in
ST:STUDY_COMMENTS                	Baltimore City and approximately 50-80% of households have a smoker. Secondhand
ST:STUDY_COMMENTS                	smoke has been associated with worse asthma outcomes. We hypothesize that
ST:STUDY_COMMENTS                	secondhand smoke exposure will be associated with increases in asthma morbidity
ST:STUDY_COMMENTS                	and increases in systemic markers of inflammation and oxidative stress and that
ST:STUDY_COMMENTS                	these responses will be exaggerated among overweight and obese children compared
ST:STUDY_COMMENTS                	with normal weight and among those with poor diets compared to better diets
ST:STUDY_COMMENTS                	among children with asthma.
#SUBJECT
SU:SUBJECT_TYPE                  	Human
SU:SUBJECT_SPECIES               	Homo sapiens
SU:TAXONOMY_ID                   	9606
#SUBJECT_SAMPLE_FACTORS:         	SUBJECT(optional)[tab]SAMPLE[tab]FACTORS(NAME:VALUE pairs separated by |)[tab]Raw file names and additional sample data
SUBJECT_SAMPLE_FACTORS           	SU0037394	S00041738	Sample type:Sample | Gender:male	Batch=1; Age=11; CHEAR Sample name=C-1QAS3-S-07; RAW_FILE_NAME=20190909-EX00973-A003-IN0029-S00041738-P.d 20190909-EX00973-A003-IN0029-S00041738-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037395	S00041739	Sample type:Sample | Gender:female	Batch=1; Age=6; CHEAR Sample name=C-1QAX2-S-07; RAW_FILE_NAME=20190909-EX00973-A003-IN0029-S00041739-P.d 20190909-EX00973-A003-IN0029-S00041739-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037396	S00041740	Sample type:Sample | Gender:female	Batch=1; Age=6; CHEAR Sample name=C-1QB25-S-07; RAW_FILE_NAME=20190909-EX00973-A003-IN0029-S00041740-P.d 20190909-EX00973-A003-IN0029-S00041740-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037397	S00041741	Sample type:Sample | Gender:male	Batch=1; Age=6; CHEAR Sample name=C-1QB66-S-07; RAW_FILE_NAME=20190909-EX00973-A003-IN0029-S00041741-P.d 20190909-EX00973-A003-IN0029-S00041741-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037398	S00041742	Sample type:Sample | Gender:female	Batch=1; Age=7; CHEAR Sample name=C-1QBA2-S-07; RAW_FILE_NAME=20190909-EX00973-A003-IN0029-S00041742-P.d 20190909-EX00973-A003-IN0029-S00041742-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037399	S00041743	Sample type:Sample | Gender:female	Batch=1; Age=9; CHEAR Sample name=C-1QBE3-S-07; RAW_FILE_NAME=20190909-EX00973-A003-IN0029-S00041743-P.d 20190909-EX00973-A003-IN0029-S00041743-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037400	S00041744	Sample type:Sample | Gender:female	Batch=1; Age=5; CHEAR Sample name=C-1QES9-S-07; RAW_FILE_NAME=20190909-EX00973-A003-IN0029-S00041744-P.d 20190909-EX00973-A003-IN0029-S00041744-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037401	S00041745	Sample type:Sample | Gender:male	Batch=1; Age=11; CHEAR Sample name=C-1QBM6-S-07; RAW_FILE_NAME=20190909-EX00973-A003-IN0029-S00041745-P.d 20190909-EX00973-A003-IN0029-S00041745-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037402	S00041746	Sample type:Sample | Gender:female	Batch=1; Age=12; CHEAR Sample name=C-1QBN3-S-07; RAW_FILE_NAME=20190909-EX00973-A003-IN0029-S00041746-P.d 20190909-EX00973-A003-IN0029-S00041746-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037403	S00041747	Sample type:Sample | Gender:male	Batch=1; Age=7; CHEAR Sample name=C-1QBP9-S-07; RAW_FILE_NAME=20190909-EX00973-A003-IN0029-S00041747-P.d 20190909-EX00973-A003-IN0029-S00041747-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037404	S00041748	Sample type:Sample | Gender:female	Batch=1; Age=10; CHEAR Sample name=C-1QBX1-S-07; RAW_FILE_NAME=20190909-EX00973-A003-IN0029-S00041748-P.d 20190909-EX00973-A003-IN0029-S00041748-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037405	S00041749	Sample type:Sample | Gender:female	Batch=1; Age=8; CHEAR Sample name=C-1QC16-S-07; RAW_FILE_NAME=20190909-EX00973-A003-IN0029-S00041749-P.d 20190909-EX00973-A003-IN0029-S00041749-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037406	S00041750	Sample type:Sample | Gender:male	Batch=1; Age=12; CHEAR Sample name=C-1QCC7-S-07; RAW_FILE_NAME=20190909-EX00973-A003-IN0029-S00041750-P.d 20190909-EX00973-A003-IN0029-S00041750-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037407	S00041751	Sample type:Sample | Gender:male	Batch=1; Age=6; CHEAR Sample name=C-1QCL7-S-07; RAW_FILE_NAME=20190909-EX00973-A003-IN0029-S00041751-P.d 20190909-EX00973-A003-IN0029-S00041751-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037408	S00041752	Sample type:Sample | Gender:female	Batch=1; Age=10; CHEAR Sample name=C-1QCP8-S-07; RAW_FILE_NAME=20190909-EX00973-A003-IN0029-S00041752-P.d 20190909-EX00973-A003-IN0029-S00041752-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037409	S00041753	Sample type:Sample | Gender:female	Batch=1; Age=11; CHEAR Sample name=C-1QCT9-S-07; RAW_FILE_NAME=20190909-EX00973-A003-IN0029-S00041753-P.d 20190909-EX00973-A003-IN0029-S00041753-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037410	S00041754	Sample type:Sample | Gender:female	Batch=1; Age=8; CHEAR Sample name=C-1QD64-S-07; RAW_FILE_NAME=20190909-EX00973-A003-IN0029-S00041754-P.d 20190909-EX00973-A003-IN0029-S00041754-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037411	S00041755	Sample type:Sample | Gender:male	Batch=1; Age=6; CHEAR Sample name=C-1QD72-S-07; RAW_FILE_NAME=20190909-EX00973-A003-IN0029-S00041755-P.d 20190909-EX00973-A003-IN0029-S00041755-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037412	S00041756	Sample type:Sample | Gender:female	Batch=1; Age=5; CHEAR Sample name=C-1QDC6-S-07; RAW_FILE_NAME=20190909-EX00973-A003-IN0029-S00041756-P.d 20190909-EX00973-A003-IN0029-S00041756-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037413	S00041757	Sample type:Sample | Gender:female	Batch=1; Age=8; CHEAR Sample name=C-1QDR3-S-07; RAW_FILE_NAME=20190909-EX00973-A003-IN0029-S00041757-P.d 20190909-EX00973-A003-IN0029-S00041757-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037414	S00041758	Sample type:Sample | Gender:male	Batch=1; Age=12; CHEAR Sample name=C-1QDW2-S-07; RAW_FILE_NAME=20190909-EX00973-A003-IN0029-S00041758-P.d 20190909-EX00973-A003-IN0029-S00041758-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037415	S00041759	Sample type:Sample | Gender:female	Batch=1; Age=7; CHEAR Sample name=C-1QE63-S-07; RAW_FILE_NAME=20190909-EX00973-A003-IN0029-S00041759-P.d 20190909-EX00973-A003-IN0029-S00041759-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037416	S00041760	Sample type:Sample | Gender:female	Batch=1; Age=9; CHEAR Sample name=C-1QEC5-S-07; RAW_FILE_NAME=20190909-EX00973-A003-IN0029-S00041760-P.d 20190909-EX00973-A003-IN0029-S00041760-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037417	S00041761	Sample type:Sample | Gender:female	Batch=1; Age=11; CHEAR Sample name=C-1QEL5-S-07; RAW_FILE_NAME=20190909-EX00973-A003-IN0029-S00041761-P.d 20190909-EX00973-A003-IN0029-S00041761-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037418	S00041762	Sample type:Sample | Gender:male	Batch=1; Age=11; CHEAR Sample name=C-1QEW1-S-07; RAW_FILE_NAME=20190909-EX00973-A003-IN0029-S00041762-P.d 20190909-EX00973-A003-IN0029-S00041762-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037419	S00041763	Sample type:Sample | Gender:male	Batch=1; Age=11; CHEAR Sample name=C-1QF13-S-07; RAW_FILE_NAME=20190909-EX00973-A003-IN0029-S00041763-P.d 20190909-EX00973-A003-IN0029-S00041763-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037420	S00041764	Sample type:Sample | Gender:male	Batch=1; Age=12; CHEAR Sample name=C-1QFF7-S-07; RAW_FILE_NAME=20190909-EX00973-A003-IN0029-S00041764-P.d 20190909-EX00973-A003-IN0029-S00041764-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037421	S00041765	Sample type:Sample | Gender:male	Batch=1; Age=12; CHEAR Sample name=C-1QFK6-S-07; RAW_FILE_NAME=20190909-EX00973-A003-IN0029-S00041765-P.d 20190909-EX00973-A003-IN0029-S00041765-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037422	S00041766	Sample type:Sample | Gender:male	Batch=1; Age=12; CHEAR Sample name=C-1QFV2-S-07; RAW_FILE_NAME=20190909-EX00973-A003-IN0029-S00041766-P.d 20190909-EX00973-A003-IN0029-S00041766-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037423	S00041767	Sample type:Sample | Gender:male	Batch=1; Age=12; CHEAR Sample name=C-1QG53-S-07; RAW_FILE_NAME=20190909-EX00973-A003-IN0029-S00041767-P.d 20190909-EX00973-A003-IN0029-S00041767-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037424	S00041768	Sample type:Sample | Gender:male	Batch=1; Age=11; CHEAR Sample name=C-1QGD0-S-07; RAW_FILE_NAME=20190909-EX00973-A003-IN0029-S00041768-P.d 20190909-EX00973-A003-IN0029-S00041768-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037425	S00041769	Sample type:Sample | Gender:male	Batch=1; Age=5; CHEAR Sample name=C-1QGN8-S-07; RAW_FILE_NAME=20190909-EX00973-A003-IN0029-S00041769-P.d 20190909-EX00973-A003-IN0029-S00041769-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037426	S00041770	Sample type:Sample | Gender:female	Batch=1; Age=11; CHEAR Sample name=C-1QGV1-S-07; RAW_FILE_NAME=20190909-EX00973-A003-IN0029-S00041770-P.d 20190909-EX00973-A003-IN0029-S00041770-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037427	S00041771	Sample type:Sample | Gender:female	Batch=1; Age=11; CHEAR Sample name=C-1QHA6-S-07; RAW_FILE_NAME=20190909-EX00973-A003-IN0029-S00041771-P.d 20190909-EX00973-A003-IN0029-S00041771-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037428	S00041772	Sample type:Sample | Gender:male	Batch=1; Age=11; CHEAR Sample name=C-1QHR9-S-07; RAW_FILE_NAME=20190909-EX00973-A003-IN0029-S00041772-P.d 20190909-EX00973-A003-IN0029-S00041772-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037429	S00041773	Sample type:Sample | Gender:female	Batch=1; Age=12; CHEAR Sample name=C-1QHX5-S-07; RAW_FILE_NAME=20190909-EX00973-A003-IN0029-S00041773-P.d 20190909-EX00973-A003-IN0029-S00041773-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037430	S00041774	Sample type:Sample | Gender:male	Batch=1; Age=11; CHEAR Sample name=C-1QJ27-S-07; RAW_FILE_NAME=20190909-EX00973-A003-IN0029-S00041774-P.d 20190909-EX00973-A003-IN0029-S00041774-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037431	S00041775	Sample type:Sample | Gender:female	Batch=1; Age=11; CHEAR Sample name=C-1QJF3-S-07; RAW_FILE_NAME=20190909-EX00973-A003-IN0029-S00041775-P.d 20190909-EX00973-A003-IN0029-S00041775-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037432	S00041776	Sample type:Sample | Gender:female	Batch=1; Age=12; CHEAR Sample name=C-1QJN5-S-07; RAW_FILE_NAME=20190909-EX00973-A003-IN0029-S00041776-P.d 20190909-EX00973-A003-IN0029-S00041776-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037433	S00041777	Sample type:Sample | Gender:female	Batch=1; Age=12; CHEAR Sample name=C-1QJT2-S-07; RAW_FILE_NAME=20190909-EX00973-A003-IN0029-S00041777-P.d 20190909-EX00973-A003-IN0029-S00041777-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037434	S00041778	Sample type:Sample | Gender:female	Batch=1; Age=10; CHEAR Sample name=C-1QJW6-S-07; RAW_FILE_NAME=20190909-EX00973-A003-IN0029-S00041778-P.d 20190909-EX00973-A003-IN0029-S00041778-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037435	S00041779	Sample type:Sample | Gender:male	Batch=1; Age=10; CHEAR Sample name=C-1QK34-S-07; RAW_FILE_NAME=20190909-EX00973-A003-IN0029-S00041779-P.d 20190909-EX00973-A003-IN0029-S00041779-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037436	S00041780	Sample type:Sample | Gender:female	Batch=1; Age=12; CHEAR Sample name=C-1QK75-S-07; RAW_FILE_NAME=20190909-EX00973-A003-IN0029-S00041780-P.d 20190909-EX00973-A003-IN0029-S00041780-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037437	S00041781	Sample type:Sample | Gender:male	Batch=1; Age=10; CHEAR Sample name=C-1QKF2-S-07; RAW_FILE_NAME=20190909-EX00973-A003-IN0029-S00041781-P.d 20190909-EX00973-A003-IN0029-S00041781-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037438	S00041782	Sample type:Sample | Gender:male	Batch=1; Age=10; CHEAR Sample name=C-1QKJ3-S-07; RAW_FILE_NAME=20190909-EX00973-A003-IN0029-S00041782-P.d 20190909-EX00973-A003-IN0029-S00041782-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037439	S00041783	Sample type:Sample | Gender:male	Batch=1; Age=11; CHEAR Sample name=C-1QT68-S-07; RAW_FILE_NAME=20190909-EX00973-A003-IN0029-S00041783-P.d 20190909-EX00973-A003-IN0029-S00041783-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037440	S00041784	Sample type:Sample | Gender:female	Batch=1; Age=10; CHEAR Sample name=C-1QCB9-S-07; RAW_FILE_NAME=20190909-EX00973-A003-IN0029-S00041784-P.d 20190909-EX00973-A003-IN0029-S00041784-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037441	S00041785	Sample type:Sample | Gender:male	Batch=1; Age=10; CHEAR Sample name=C-1QLB0-S-07; RAW_FILE_NAME=20190909-EX00973-A003-IN0029-S00041785-P.d 20190909-EX00973-A003-IN0029-S00041785-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037442	S00041786	Sample type:Sample | Gender:female	Batch=1; Age=11; CHEAR Sample name=C-1QLP9-S-07; RAW_FILE_NAME=20190909-EX00973-A003-IN0029-S00041786-P.d 20190909-EX00973-A003-IN0029-S00041786-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037443	S00041787	Sample type:Sample | Gender:female	Batch=1; Age=10; CHEAR Sample name=C-1QLS2-S-07; RAW_FILE_NAME=20190909-EX00973-A003-IN0029-S00041787-P.d 20190909-EX00973-A003-IN0029-S00041787-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037444	S00041788	Sample type:Sample | Gender:female	Batch=1; Age=10; CHEAR Sample name=C-1QLY9-S-07; RAW_FILE_NAME=20190909-EX00973-A003-IN0029-S00041788-P.d 20190909-EX00973-A003-IN0029-S00041788-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037445	S00041789	Sample type:Sample | Gender:female	Batch=1; Age=9; CHEAR Sample name=C-1QM57-S-07; RAW_FILE_NAME=20190909-EX00973-A003-IN0029-S00041789-P.d 20190909-EX00973-A003-IN0029-S00041789-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037446	S00041790	Sample type:Sample | Gender:male	Batch=1; Age=9; CHEAR Sample name=C-1QMF0-S-07; RAW_FILE_NAME=20190909-EX00973-A003-IN0029-S00041790-P.d 20190909-EX00973-A003-IN0029-S00041790-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037447	S00041791	Sample type:Sample | Gender:male	Batch=1; Age=5; CHEAR Sample name=C-1QML7-S-07; RAW_FILE_NAME=20190909-EX00973-A003-IN0029-S00041791-P.d 20190909-EX00973-A003-IN0029-S00041791-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037448	S00041792	Sample type:Sample | Gender:female	Batch=2; Age=11; CHEAR Sample name=C-1QMS1-S-07; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-S00041792-P.d 20190916-EX00973-A003-IN0029-S00041792-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037449	S00041793	Sample type:Sample | Gender:female	Batch=2; Age=10; CHEAR Sample name=C-1QMU7-S-07; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-S00041793-P.d 20190916-EX00973-A003-IN0029-S00041793-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037450	S00041794	Sample type:Sample | Gender:male	Batch=2; Age=5; CHEAR Sample name=C-1QN07-S-07; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-S00041794-P.d 20190916-EX00973-A003-IN0029-S00041794-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037451	S00041795	Sample type:Sample | Gender:female	Batch=2; Age=9; CHEAR Sample name=C-1QN49-S-07; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-S00041795-P.d 20190916-EX00973-A003-IN0029-S00041795-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037452	S00041796	Sample type:Sample | Gender:male	Batch=2; Age=9; CHEAR Sample name=C-1QNQ5-S-07; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-S00041796-P.d 20190916-EX00973-A003-IN0029-S00041796-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037453	S00041797	Sample type:Sample | Gender:female	Batch=2; Age=9; CHEAR Sample name=C-1QNS0-S-07; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-S00041797-P.d 20190916-EX00973-A003-IN0029-S00041797-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037454	S00041798	Sample type:Sample | Gender:male	Batch=1; Age=8; CHEAR Sample name=C-1QP21-S-07; RAW_FILE_NAME=20190909-EX00973-A003-IN0029-S00041798-P.d 20190909-EX00973-A003-IN0029-S00041798-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037455	S00041799	Sample type:Sample | Gender:male	Batch=2; Age=9; CHEAR Sample name=C-1QP96-S-07; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-S00041799-P.d 20190916-EX00973-A003-IN0029-S00041799-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037456	S00041800	Sample type:Sample | Gender:female	Batch=2; Age=10; CHEAR Sample name=C-1QPB6-S-07; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-S00041800-P.d 20190916-EX00973-A003-IN0029-S00041800-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037457	S00041801	Sample type:Sample | Gender:female	Batch=2; Age=9; CHEAR Sample name=C-1QPH3-S-07; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-S00041801-P.d 20190916-EX00973-A003-IN0029-S00041801-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037458	S00041802	Sample type:Sample | Gender:female	Batch=2; Age=7; CHEAR Sample name=C-1QPQ3-S-07; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-S00041802-P.d 20190916-EX00973-A003-IN0029-S00041802-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037459	S00041803	Sample type:Sample | Gender:male	Batch=2; Age=7; CHEAR Sample name=C-1QPV2-S-07; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-S00041803-P.d 20190916-EX00973-A003-IN0029-S00041803-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037460	S00041804	Sample type:Sample | Gender:female	Batch=1; Age=7; CHEAR Sample name=C-1QQ12-S-07; RAW_FILE_NAME=20190909-EX00973-A003-IN0029-S00041804-P.d 20190909-EX00973-A003-IN0029-S00041804-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037461	S00041805	Sample type:Sample | Gender:female	Batch=2; Age=6; CHEAR Sample name=C-1QQ79-S-07; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-S00041805-P.d 20190916-EX00973-A003-IN0029-S00041805-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037462	S00041806	Sample type:Sample | Gender:female	Batch=1; Age=6; CHEAR Sample name=C-1QQ87-S-07; RAW_FILE_NAME=20190909-EX00973-A003-IN0029-S00041806-P.d 20190909-EX00973-A003-IN0029-S00041806-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037463	S00041807	Sample type:Sample | Gender:male	Batch=2; Age=9; CHEAR Sample name=C-1QQD0-S-07; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-S00041807-P.d 20190916-EX00973-A003-IN0029-S00041807-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037464	S00041808	Sample type:Sample | Gender:female	Batch=2; Age=7; CHEAR Sample name=C-1QQG4-S-07; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-S00041808-P.d 20190916-EX00973-A003-IN0029-S00041808-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037465	S00041809	Sample type:Sample | Gender:male	Batch=1; Age=10; CHEAR Sample name=C-1QQM1-S-07; RAW_FILE_NAME=20190909-EX00973-A003-IN0029-S00041809-P.d 20190909-EX00973-A003-IN0029-S00041809-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037466	S00041810	Sample type:Sample | Gender:female	Batch=2; Age=10; CHEAR Sample name=C-1QQX6-S-07; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-S00041810-P.d 20190916-EX00973-A003-IN0029-S00041810-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037467	S00041811	Sample type:Sample | Gender:male	Batch=2; Age=10; CHEAR Sample name=C-1QR78-S-07; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-S00041811-P.d 20190916-EX00973-A003-IN0029-S00041811-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037468	S00041812	Sample type:Sample | Gender:male	Batch=2; Age=7; CHEAR Sample name=C-1QRA6-S-07; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-S00041812-P.d 20190916-EX00973-A003-IN0029-S00041812-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037469	S00041813	Sample type:Sample | Gender:female	Batch=2; Age=7; CHEAR Sample name=C-1QRF5-S-07; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-S00041813-P.d 20190916-EX00973-A003-IN0029-S00041813-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037470	S00041814	Sample type:Sample | Gender:male	Batch=2; Age=12; CHEAR Sample name=C-1QRN7-S-07; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-S00041814-P.d 20190916-EX00973-A003-IN0029-S00041814-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037471	S00041815	Sample type:Sample | Gender:female	Batch=2; Age=10; CHEAR Sample name=C-1QRS6-S-07; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-S00041815-P.d 20190916-EX00973-A003-IN0029-S00041815-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037472	S00041816	Sample type:Sample | Gender:female	Batch=2; Age=10; CHEAR Sample name=C-1QRT4-S-07; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-S00041816-P.d 20190916-EX00973-A003-IN0029-S00041816-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037473	S00041817	Sample type:Sample | Gender:female	Batch=2; Age=11; CHEAR Sample name=C-1QRV0-S-07; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-S00041817-P.d 20190916-EX00973-A003-IN0029-S00041817-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037474	S00041818	Sample type:Sample | Gender:male	Batch=2; Age=9; CHEAR Sample name=C-1QS77-S-07; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-S00041818-P.d 20190916-EX00973-A003-IN0029-S00041818-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037475	S00041819	Sample type:Sample | Gender:male	Batch=1; Age=11; CHEAR Sample name=C-1QSB3-S-07; RAW_FILE_NAME=20190909-EX00973-A003-IN0029-S00041819-P.d 20190909-EX00973-A003-IN0029-S00041819-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037476	S00041820	Sample type:Sample | Gender:female	Batch=2; Age=12; CHEAR Sample name=C-1QSE6-S-07; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-S00041820-P.d 20190916-EX00973-A003-IN0029-S00041820-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037477	S00041821	Sample type:Sample | Gender:male	Batch=2; Age=12; CHEAR Sample name=C-1QSW7-S-07; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-S00041821-P.d 20190916-EX00973-A003-IN0029-S00041821-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037478	S00041822	Sample type:Sample | Gender:male	Batch=2; Age=8; CHEAR Sample name=C-1QSY2-S-07; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-S00041822-P.d 20190916-EX00973-A003-IN0029-S00041822-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037479	S00041823	Sample type:Sample | Gender:male	Batch=2; Age=8; CHEAR Sample name=C-1QTJ4-S-07; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-S00041823-P.d 20190916-EX00973-A003-IN0029-S00041823-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037480	S00041824	Sample type:Sample | Gender:male	Batch=2; Age=5; CHEAR Sample name=C-1QTM8-S-07; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-S00041824-P.d 20190916-EX00973-A003-IN0029-S00041824-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037481	S00041825	Sample type:Sample | Gender:male	Batch=2; Age=11; CHEAR Sample name=C-1QTQ9-S-07; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-S00041825-P.d 20190916-EX00973-A003-IN0029-S00041825-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037482	S00041826	Sample type:Sample | Gender:male	Batch=2; Age=12; CHEAR Sample name=C-1QTX3-S-07; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-S00041826-P.d 20190916-EX00973-A003-IN0029-S00041826-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037483	S00041827	Sample type:Sample | Gender:male	Batch=2; Age=12; CHEAR Sample name=C-1QU26-S-07; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-S00041827-P.d 20190916-EX00973-A003-IN0029-S00041827-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037484	S00041828	Sample type:Sample | Gender:male	Batch=2; Age=11; CHEAR Sample name=C-1QU67-S-07; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-S00041828-P.d 20190916-EX00973-A003-IN0029-S00041828-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037485	S00041829	Sample type:Sample | Gender:male	Batch=1; Age=8; CHEAR Sample name=C-1QUB1-S-07; RAW_FILE_NAME=20190909-EX00973-A003-IN0029-S00041829-P.d 20190909-EX00973-A003-IN0029-S00041829-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037486	S00041830	Sample type:Sample | Gender:female	Batch=1; Age=7; CHEAR Sample name=C-1QUE4-S-07; RAW_FILE_NAME=20190909-EX00973-A003-IN0029-S00041830-P.d 20190909-EX00973-A003-IN0029-S00041830-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037487	S00041831	Sample type:Sample | Gender:female	Batch=2; Age=11; CHEAR Sample name=C-1QUN4-S-07; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-S00041831-P.d 20190916-EX00973-A003-IN0029-S00041831-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037488	S00041832	Sample type:Sample | Gender:male	Batch=2; Age=8; CHEAR Sample name=C-1QUV7-S-07; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-S00041832-P.d 20190916-EX00973-A003-IN0029-S00041832-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037489	S00041833	Sample type:Sample | Gender:female	Batch=1; Age=10; CHEAR Sample name=C-1QV74-S-07; RAW_FILE_NAME=20190909-EX00973-A003-IN0029-S00041833-P.d 20190909-EX00973-A003-IN0029-S00041833-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037490	S00041834	Sample type:Sample | Gender:male	Batch=2; Age=5; CHEAR Sample name=C-1QVK0-S-07; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-S00041834-P.d 20190916-EX00973-A003-IN0029-S00041834-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037491	S00041835	Sample type:Sample | Gender:male	Batch=2; Age=8; CHEAR Sample name=C-1QVP9-S-07; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-S00041835-P.d 20190916-EX00973-A003-IN0029-S00041835-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037492	S00041836	Sample type:Sample | Gender:male	Batch=2; Age=11; CHEAR Sample name=C-1QVU8-S-07; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-S00041836-P.d 20190916-EX00973-A003-IN0029-S00041836-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037493	S00041837	Sample type:Sample | Gender:male	Batch=2; Age=12; CHEAR Sample name=C-1QVY9-S-07; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-S00041837-P.d 20190916-EX00973-A003-IN0029-S00041837-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037494	S00041838	Sample type:Sample | Gender:female	Batch=2; Age=12; CHEAR Sample name=C-1QW99-S-07; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-S00041838-P.d 20190916-EX00973-A003-IN0029-S00041838-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037495	S00041839	Sample type:Sample | Gender:male	Batch=2; Age=6; CHEAR Sample name=C-1QWD4-S-07; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-S00041839-P.d 20190916-EX00973-A003-IN0029-S00041839-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037496	S00041840	Sample type:Sample | Gender:female	Batch=2; Age=10; CHEAR Sample name=C-1QWJ1-S-07; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-S00041840-P.d 20190916-EX00973-A003-IN0029-S00041840-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037497	S00041841	Sample type:Sample | Gender:female	Batch=2; Age=12; CHEAR Sample name=C-1QWL7-S-07; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-S00041841-P.d 20190916-EX00973-A003-IN0029-S00041841-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037498	S00041842	Sample type:Sample | Gender:female	Batch=2; Age=5; CHEAR Sample name=C-1QWX0-S-07; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-S00041842-P.d 20190916-EX00973-A003-IN0029-S00041842-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037499	S00041843	Sample type:Sample | Gender:female	Batch=2; Age=8; CHEAR Sample name=C-1QX31-S-07; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-S00041843-P.d 20190916-EX00973-A003-IN0029-S00041843-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037500	S00041844	Sample type:Sample | Gender:male	Batch=2; Age=6; CHEAR Sample name=C-1QX72-S-07; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-S00041844-P.d 20190916-EX00973-A003-IN0029-S00041844-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037501	S00041845	Sample type:Sample | Gender:female	Batch=2; Age=10; CHEAR Sample name=C-1QXC6-S-07; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-S00041845-P.d 20190916-EX00973-A003-IN0029-S00041845-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037502	S00041846	Sample type:Sample | Gender:female	Batch=2; Age=10; CHEAR Sample name=C-1QXD3-S-07; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-S00041846-P.d 20190916-EX00973-A003-IN0029-S00041846-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037503	S00041847	Sample type:Sample | Gender:female	Batch=2; Age=5; CHEAR Sample name=C-1QXN1-S-07; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-S00041847-P.d 20190916-EX00973-A003-IN0029-S00041847-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037504	S00041848	Sample type:Sample | Gender:male	Batch=3; Age=7; CHEAR Sample name=C-1QY06-S-07; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-S00041848-P.d 20190916-EX00973-A003-IN0029-S00041848-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037505	S00041849	Sample type:Sample | Gender:male	Batch=3; Age=12; CHEAR Sample name=C-1QYT7-S-07; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-S00041849-P.d 20190916-EX00973-A003-IN0029-S00041849-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037506	S00041850	Sample type:Sample | Gender:female	Batch=2; Age=8; CHEAR Sample name=C-1QYP6-S-07; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-S00041850-P.d 20190916-EX00973-A003-IN0029-S00041850-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037507	S00041851	Sample type:Sample | Gender:male	Batch=2; Age=10; CHEAR Sample name=C-1QY63-S-07; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-S00041851-P.d 20190916-EX00973-A003-IN0029-S00041851-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037508	S00041852	Sample type:Sample | Gender:female	Batch=2; Age=8; CHEAR Sample name=C-1QYY6-S-07; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-S00041852-P.d 20190916-EX00973-A003-IN0029-S00041852-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037509	S00041853	Sample type:Sample | Gender:male	Batch=3; Age=14; CHEAR Sample name=C-1QZ05-S-07; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-S00041853-P.d 20190916-EX00973-A003-IN0029-S00041853-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037510	S00041854	Sample type:Sample | Gender:female	Batch=3; Age=10; CHEAR Sample name=C-1QZ21-S-07; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-S00041854-P.d 20190916-EX00973-A003-IN0029-S00041854-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037511	S00041855	Sample type:Sample | Gender:male	Batch=3; Age=8; CHEAR Sample name=C-1QZB6-S-07; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-S00041855-P.d 20190916-EX00973-A003-IN0029-S00041855-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037512	S00041856	Sample type:Sample | Gender:male	Batch=3; Age=8; CHEAR Sample name=C-1QZC4-S-07; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-S00041856-P.d 20190916-EX00973-A003-IN0029-S00041856-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037513	S00041857	Sample type:Sample | Gender:male	Batch=3; Age=14; CHEAR Sample name=C-1QZH3-S-07; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-S00041857-P.d 20190916-EX00973-A003-IN0029-S00041857-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037514	S00041858	Sample type:Sample | Gender:male	Batch=3; Age=11; CHEAR Sample name=C-1QZK6-S-07; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-S00041858-P.d 20190916-EX00973-A003-IN0029-S00041858-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037515	S00041859	Sample type:Sample | Gender:female	Batch=3; Age=8; CHEAR Sample name=C-1QZM2-S-07; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-S00041859-P.d 20190916-EX00973-A003-IN0029-S00041859-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037516	S00041860	Sample type:Sample | Gender:male	Batch=2; Age=14; CHEAR Sample name=C-1QZW0-S-07; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-S00041860-P.d 20190916-EX00973-A003-IN0029-S00041860-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037517	S00041861	Sample type:Sample | Gender:female	Batch=3; Age=16; CHEAR Sample name=C-1R005-S-07; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-S00041861-P.d 20190916-EX00973-A003-IN0029-S00041861-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037518	S00041862	Sample type:Sample | Gender:male	Batch=3; Age=11; CHEAR Sample name=C-1R021-S-07; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-S00041862-P.d 20190916-EX00973-A003-IN0029-S00041862-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037519	S00041863	Sample type:Sample | Gender:male	Batch=3; Age=11; CHEAR Sample name=C-1R096-S-07; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-S00041863-P.d 20190916-EX00973-A003-IN0029-S00041863-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037520	S00041864	Sample type:Sample | Gender:male	Batch=3; Age=12; CHEAR Sample name=C-1R0B6-S-07; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-S00041864-P.d 20190916-EX00973-A003-IN0029-S00041864-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037521	S00041865	Sample type:Sample | Gender:male	Batch=3; Age=12; CHEAR Sample name=C-1R0C4-S-07; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-S00041865-P.d 20190916-EX00973-A003-IN0029-S00041865-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037522	S00041866	Sample type:Sample | Gender:male	Batch=3; Age=8; CHEAR Sample name=C-1R0J8-S-07; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-S00041866-P.d 20190916-EX00973-A003-IN0029-S00041866-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037523	S00041867	Sample type:Sample | Gender:male	Batch=3; Age=13; CHEAR Sample name=C-1R0P5-S-07; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-S00041867-P.d 20190916-EX00973-A003-IN0029-S00041867-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037524	S00041868	Sample type:Sample | Gender:male	Batch=3; Age=9; CHEAR Sample name=C-1R0T6-S-07; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-S00041868-P.d 20190916-EX00973-A003-IN0029-S00041868-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037525	S00041869	Sample type:Sample | Gender:female	Batch=2; Age=14; CHEAR Sample name=C-1R0V2-S-07; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-S00041869-P.d 20190916-EX00973-A003-IN0029-S00041869-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037526	S00041870	Sample type:Sample | Gender:female	Batch=3; Age=14; CHEAR Sample name=C-1R138-S-07; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-S00041870-P.d 20190916-EX00973-A003-IN0029-S00041870-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037527	S00041871	Sample type:Sample | Gender:male	Batch=3; Age=10; CHEAR Sample name=C-1R195-S-07; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-S00041871-P.d 20190916-EX00973-A003-IN0029-S00041871-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037528	S00041872	Sample type:Sample | Gender:female	Batch=3; Age=15; CHEAR Sample name=C-1R1D0-S-07; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-S00041872-P.d 20190916-EX00973-A003-IN0029-S00041872-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037529	S00041873	Sample type:Sample | Gender:female	Batch=3; Age=10; CHEAR Sample name=C-1R1K5-S-07; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-S00041873-P.d 20190916-EX00973-A003-IN0029-S00041873-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037530	S00041874	Sample type:Sample | Gender:male	Batch=3; Age=11; CHEAR Sample name=C-1R1N8-S-07; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-S00041874-P.d 20190916-EX00973-A003-IN0029-S00041874-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037531	S00041875	Sample type:Sample | Gender:female	Batch=3; Age=8; CHEAR Sample name=C-1R1R0-S-07; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-S00041875-P.d 20190916-EX00973-A003-IN0029-S00041875-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037532	S00041876	Sample type:Sample | Gender:female	Batch=2; Age=11; CHEAR Sample name=C-1R1U3-S-07; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-S00041876-P.d 20190916-EX00973-A003-IN0029-S00041876-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037533	S00041877	Sample type:Sample | Gender:male	Batch=2; Age=9; CHEAR Sample name=C-1R1X6-S-07; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-S00041877-P.d 20190916-EX00973-A003-IN0029-S00041877-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037534	S00041878	Sample type:Sample | Gender:male	Batch=2; Age=9; CHEAR Sample name=C-1R2L2-S-07; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-S00041878-P.d 20190916-EX00973-A003-IN0029-S00041878-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037535	S00041879	Sample type:Sample | Gender:female	Batch=3; Age=13; CHEAR Sample name=C-1R2N7-S-07; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-S00041879-P.d 20190916-EX00973-A003-IN0029-S00041879-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037536	S00041880	Sample type:Sample | Gender:female	Batch=3; Age=8; CHEAR Sample name=C-1R302-S-07; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-S00041880-P.d 20190916-EX00973-A003-IN0029-S00041880-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037537	S00041881	Sample type:Sample | Gender:male	Batch=3; Age=13; CHEAR Sample name=C-1R3J5-S-07; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-S00041881-P.d 20190916-EX00973-A003-IN0029-S00041881-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037538	S00041882	Sample type:Sample | Gender:male	Batch=2; Age=9; CHEAR Sample name=C-KJ7G9-S-07; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-S00041882-P.d 20190916-EX00973-A003-IN0029-S00041882-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037539	S00041883	Sample type:Sample | Gender:male	Batch=3; Age=8; CHEAR Sample name=C-KSCD3-S-07; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-S00041883-P.d 20190916-EX00973-A003-IN0029-S00041883-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037540	S00041884	Sample type:Sample | Gender:female	Batch=2; Age=12; CHEAR Sample name=C-KXSG0-S-07; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-S00041884-P.d 20190916-EX00973-A003-IN0029-S00041884-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037541	S00041885	Sample type:Sample | Gender:male	Batch=3; Age=12; CHEAR Sample name=C-MBZ18-S-07; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-S00041885-P.d 20190916-EX00973-A003-IN0029-S00041885-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037542	S00041886	Sample type:Sample | Gender:female	Batch=3; Age=12; CHEAR Sample name=C-MQQT7-S-07; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-S00041886-P.d 20190916-EX00973-A003-IN0029-S00041886-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037543	S00041887	Sample type:Sample | Gender:male	Batch=3; Age=14; CHEAR Sample name=C-PG2J9-S-07; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-S00041887-P.d 20190916-EX00973-A003-IN0029-S00041887-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037544	S00041888	Sample type:Sample | Gender:female	Batch=3; Age=15; CHEAR Sample name=C-PLVW4-S-07; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-S00041888-P.d 20190916-EX00973-A003-IN0029-S00041888-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037545	S00041889	Sample type:Sample | Gender:male	Batch=3; Age=11; CHEAR Sample name=C-PTDV6-S-07; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-S00041889-P.d 20190916-EX00973-A003-IN0029-S00041889-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037546	S00041890	Sample type:Sample | Gender:female	Batch=3; Age=12; CHEAR Sample name=C-PTZU6-S-07; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-S00041890-P.d 20190916-EX00973-A003-IN0029-S00041890-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037547	S00041891	Sample type:Sample | Gender:female	Batch=3; Age=11; CHEAR Sample name=C-PVCG6-S-07; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-S00041891-P.d 20190916-EX00973-A003-IN0029-S00041891-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037548	S00041892	Sample type:Sample | Gender:female	Batch=2; Age=13; CHEAR Sample name=C-QS943-S-07; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-S00041892-P.d 20190916-EX00973-A003-IN0029-S00041892-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037549	S00041893	Sample type:Sample | Gender:female	Batch=2; Age=12; CHEAR Sample name=C-R9WQ6-S-07; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-S00041893-P.d 20190916-EX00973-A003-IN0029-S00041893-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037550	S00041894	Sample type:Sample | Gender:female	Batch=3; Age=12; CHEAR Sample name=C-RMEU1-S-07; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-S00041894-P.d 20190916-EX00973-A003-IN0029-S00041894-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037551	S00041895	Sample type:Sample | Gender:female	Batch=3; Age=15; CHEAR Sample name=C-RY592-S-07; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-S00041895-P.d 20190916-EX00973-A003-IN0029-S00041895-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037552	S00041896	Sample type:Sample | Gender:male	Batch=3; Age=8; CHEAR Sample name=C-1QAT1-06; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-S00041896-P.d 20190916-EX00973-A003-IN0029-S00041896-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037553	S00041897	Sample type:Sample | Gender:male	Batch=2; Age=11; CHEAR Sample name=C-1QAU9-06; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-S00041897-P.d 20190916-EX00973-A003-IN0029-S00041897-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037554	S00041898	Sample type:Sample | Gender:male	Batch=2; Age=8; CHEAR Sample name=C-1QAV7-06; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-S00041898-P.d 20190916-EX00973-A003-IN0029-S00041898-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037555	S00041899	Sample type:Sample | Gender:male	Batch=3; Age=9; CHEAR Sample name=C-1QB33-06; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-S00041899-P.d 20190916-EX00973-A003-IN0029-S00041899-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037556	S00041900	Sample type:Sample | Gender:male	Batch=3; Age=11; CHEAR Sample name=C-1QB41-06; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-S00041900-P.d 20190916-EX00973-A003-IN0029-S00041900-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037557	S00041901	Sample type:Sample | Gender:male	Batch=3; Age=8; CHEAR Sample name=C-1QBT0-06; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-S00041901-P.d 20190916-EX00973-A003-IN0029-S00041901-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037558	S00041902	Sample type:Sample | Gender:female	Batch=3; Age=7; CHEAR Sample name=C-1QBU8-06; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-S00041902-P.d 20190916-EX00973-A003-IN0029-S00041902-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037559	S00041903	Sample type:Sample | Gender:female	Batch=3; Age=9; CHEAR Sample name=C-1QC73-06; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-S00041903-P.d 20190916-EX00973-A003-IN0029-S00041903-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037560	S00041904	Sample type:Sample | Gender:male	Batch=3; Age=5; CHEAR Sample name=C-1QCG8-06; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-S00041904-P.d 20190916-EX00973-A003-IN0029-S00041904-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037561	S00041905	Sample type:Sample | Gender:male	Batch=3; Age=9; CHEAR Sample name=C-1QDF9-06; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-S00041905-P.d 20190916-EX00973-A003-IN0029-S00041905-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037562	S00041906	Sample type:Sample | Gender:female	Batch=3; Age=11; CHEAR Sample name=C-1QGS7-06; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-S00041906-P.d 20190916-EX00973-A003-IN0029-S00041906-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037563	S00041907	Sample type:Sample | Gender:male	Batch=3; Age=8; CHEAR Sample name=C-1QHH1-06; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-S00041907-P.d 20190916-EX00973-A003-IN0029-S00041907-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037564	S00041908	Sample type:Sample | Gender:male	Batch=3; Age=11; CHEAR Sample name=C-1QXU6-06; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-S00041908-P.d 20190916-EX00973-A003-IN0029-S00041908-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037565	S00041909	Sample type:Sample | Gender:female	Batch=3; Age=10; CHEAR Sample name=C-1QM81-06; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-S00041909-P.d 20190916-EX00973-A003-IN0029-S00041909-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037566	S00041910	Sample type:Sample | Gender:male	Batch=3; Age=5; CHEAR Sample name=C-1QS10-06; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-S00041910-P.d 20190916-EX00973-A003-IN0029-S00041910-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037567	S00041911	Sample type:Sample | Gender:male	Batch=3; Age=7; CHEAR Sample name=C-1QSH0-06; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-S00041911-P.d 20190916-EX00973-A003-IN0029-S00041911-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037568	S00041912	Sample type:Sample | Gender:male	Batch=3; Age=8; CHEAR Sample name=C-1QUF2-06; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-S00041912-P.d 20190916-EX00973-A003-IN0029-S00041912-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037569	S00041913	Sample type:Sample | Gender:female	Batch=3; Age=12; CHEAR Sample name=C-1QXL6-06; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-S00041913-P.d 20190916-EX00973-A003-IN0029-S00041913-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037570	S00041914	Sample type:Sample | Gender:male	Batch=3; Age=12; CHEAR Sample name=C-1QYL5-06; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-S00041914-P.d 20190916-EX00973-A003-IN0029-S00041914-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037571	S00041915	Sample type:Sample | Gender:female	Batch=3; Age=14; CHEAR Sample name=C-1R0D1-06; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-S00041915-P.d 20190916-EX00973-A003-IN0029-S00041915-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037572	S00041916	Sample type:Sample | Gender:male	Batch=3; Age=9; CHEAR Sample name=C-1R1G4-06; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-S00041916-P.d 20190916-EX00973-A003-IN0029-S00041916-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037573	S00041917	Sample type:Sample | Gender:male	Batch=3; Age=11; CHEAR Sample name=C-1R286-06; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-S00041917-P.d 20190916-EX00973-A003-IN0029-S00041917-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037574	S00041918	Sample type:Sample | Gender:female	Batch=3; Age=9; CHEAR Sample name=C-1R2B4-06; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-S00041918-P.d 20190916-EX00973-A003-IN0029-S00041918-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037575	S00041919	Sample type:Sample | Gender:female	Batch=3; Age=12; CHEAR Sample name=C-1R2S6-06; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-S00041919-P.d 20190916-EX00973-A003-IN0029-S00041919-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037576	S00041920	Sample type:Sample | Gender:male	Batch=3; Age=12; CHEAR Sample name=C-1R336-06; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-S00041920-P.d 20190916-EX00973-A003-IN0029-S00041920-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037577	S00041921	Sample type:Sample | Gender:male	Batch=3; Age=17; CHEAR Sample name=C-N5SC3-06; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-S00041921-P.d 20190916-EX00973-A003-IN0029-S00041921-N.d
SUBJECT_SAMPLE_FACTORS           	SU0037578	S00041922	Sample type:Sample | Gender:male	Batch=3; Age=8; CHEAR Sample name=C-N8K63-06; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-S00041922-P.d 20190916-EX00973-A003-IN0029-S00041922-N.d
SUBJECT_SAMPLE_FACTORS           	-	CS00000MP-1-01	Sample type:master pool | Gender:-	Batch=1; Age=-; CHEAR Sample name=-; RAW_FILE_NAME=20190909-EX00973-A003-IN0029-CS00000MP-01-P.d 20190909-EX00973-A003-IN0029-CS00000MP-01-N.d
SUBJECT_SAMPLE_FACTORS           	-	CS00000MP-1-02	Sample type:master pool | Gender:-	Batch=1; Age=-; CHEAR Sample name=-; RAW_FILE_NAME=20190909-EX00973-A003-IN0029-CS00000MP-02-P.d 20190909-EX00973-A003-IN0029-CS00000MP-02-N.d
SUBJECT_SAMPLE_FACTORS           	-	CS00000MP-1-03	Sample type:master pool | Gender:-	Batch=1; Age=-; CHEAR Sample name=-; RAW_FILE_NAME=20190909-EX00973-A003-IN0029-CS00000MP-03-P.d 20190909-EX00973-A003-IN0029-CS00000MP-03-N.d
SUBJECT_SAMPLE_FACTORS           	-	CS00000MP-1-04	Sample type:master pool | Gender:-	Batch=1; Age=-; CHEAR Sample name=-; RAW_FILE_NAME=20190909-EX00973-A003-IN0029-CS00000MP-04-P.d 20190909-EX00973-A003-IN0029-CS00000MP-04-N.d
SUBJECT_SAMPLE_FACTORS           	-	CS00000MP-2-01	Sample type:master pool | Gender:-	Batch=2; Age=-; CHEAR Sample name=-; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-CS00000MP-01-P.d 20190916-EX00973-A003-IN0029-CS00000MP-01-N.d
SUBJECT_SAMPLE_FACTORS           	-	CS00000MP-2-02	Sample type:master pool | Gender:-	Batch=2; Age=-; CHEAR Sample name=-; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-CS00000MP-02-P.d 20190916-EX00973-A003-IN0029-CS00000MP-02-N.d
SUBJECT_SAMPLE_FACTORS           	-	CS00000MP-2-03	Sample type:master pool | Gender:-	Batch=2; Age=-; CHEAR Sample name=-; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-CS00000MP-03-P.d 20190916-EX00973-A003-IN0029-CS00000MP-03-N.d
SUBJECT_SAMPLE_FACTORS           	-	CS00000MP-2-04	Sample type:master pool | Gender:-	Batch=2; Age=-; CHEAR Sample name=-; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-CS00000MP-04-P.d 20190916-EX00973-A003-IN0029-CS00000MP-04-N.d
SUBJECT_SAMPLE_FACTORS           	-	CS00000MP-3-01	Sample type:master pool | Gender:-	Batch=3; Age=-; CHEAR Sample name=-; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-CS00000MP-01-P.d 20190916-EX00973-A003-IN0029-CS00000MP-01-N.d
SUBJECT_SAMPLE_FACTORS           	-	CS00000MP-3-02	Sample type:master pool | Gender:-	Batch=3; Age=-; CHEAR Sample name=-; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-CS00000MP-02-P.d 20190916-EX00973-A003-IN0029-CS00000MP-02-N.d
SUBJECT_SAMPLE_FACTORS           	-	CS00000MP-3-03	Sample type:master pool | Gender:-	Batch=3; Age=-; CHEAR Sample name=-; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-CS00000MP-03-P.d 20190916-EX00973-A003-IN0029-CS00000MP-03-N.d
SUBJECT_SAMPLE_FACTORS           	-	CS00000MP-3-04	Sample type:master pool | Gender:-	Batch=3; Age=-; CHEAR Sample name=-; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-CS00000MP-04-P.d 20190916-EX00973-A003-IN0029-CS00000MP-04-N.d
SUBJECT_SAMPLE_FACTORS           	-	CS00000RC-1-01	Sample type:red cross plasma | Gender:-	Batch=1; Age=-; CHEAR Sample name=-; RAW_FILE_NAME=20190909-EX00973-A003-IN0029-CS00000RC-01-P.d 20190909-EX00973-A003-IN0029-CS00000RC-01-N.d
SUBJECT_SAMPLE_FACTORS           	-	CS00000RC-1-02	Sample type:red cross plasma | Gender:-	Batch=1; Age=-; CHEAR Sample name=-; RAW_FILE_NAME=20190909-EX00973-A003-IN0029-CS00000RC-02-P.d 20190909-EX00973-A003-IN0029-CS00000RC-02-N.d
SUBJECT_SAMPLE_FACTORS           	-	CS00000RC-1-03	Sample type:red cross plasma | Gender:-	Batch=1; Age=-; CHEAR Sample name=-; RAW_FILE_NAME=20190909-EX00973-A003-IN0029-CS00000RC-03-P.d 20190909-EX00973-A003-IN0029-CS00000RC-03-N.d
SUBJECT_SAMPLE_FACTORS           	-	CS00000RC-1-04	Sample type:red cross plasma | Gender:-	Batch=1; Age=-; CHEAR Sample name=-; RAW_FILE_NAME=20190909-EX00973-A003-IN0029-CS00000RC-04-P.d 20190909-EX00973-A003-IN0029-CS00000RC-04-N.d
SUBJECT_SAMPLE_FACTORS           	-	CS00000RC-2-01	Sample type:red cross plasma | Gender:-	Batch=2; Age=-; CHEAR Sample name=-; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-CS00000RC-01-P.d 20190916-EX00973-A003-IN0029-CS00000RC-01-N.d
SUBJECT_SAMPLE_FACTORS           	-	CS00000RC-2-02	Sample type:red cross plasma | Gender:-	Batch=2; Age=-; CHEAR Sample name=-; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-CS00000RC-02-P.d 20190916-EX00973-A003-IN0029-CS00000RC-02-N.d
SUBJECT_SAMPLE_FACTORS           	-	CS00000RC-2-03	Sample type:red cross plasma | Gender:-	Batch=2; Age=-; CHEAR Sample name=-; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-CS00000RC-03-P.d 20190916-EX00973-A003-IN0029-CS00000RC-03-N.d
SUBJECT_SAMPLE_FACTORS           	-	CS00000RC-2-04	Sample type:red cross plasma | Gender:-	Batch=2; Age=-; CHEAR Sample name=-; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-CS00000RC-04-P.d 20190916-EX00973-A003-IN0029-CS00000RC-04-N.d
SUBJECT_SAMPLE_FACTORS           	-	CS00000RC-3-01	Sample type:red cross plasma | Gender:-	Batch=3; Age=-; CHEAR Sample name=-; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-CS00000RC-01-P.d 20190916-EX00973-A003-IN0029-CS00000RC-01-N.d
SUBJECT_SAMPLE_FACTORS           	-	CS00000RC-3-02	Sample type:red cross plasma | Gender:-	Batch=3; Age=-; CHEAR Sample name=-; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-CS00000RC-02-P.d 20190916-EX00973-A003-IN0029-CS00000RC-02-N.d
SUBJECT_SAMPLE_FACTORS           	-	CS00000RC-3-03	Sample type:red cross plasma | Gender:-	Batch=3; Age=-; CHEAR Sample name=-; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-CS00000RC-03-P.d 20190916-EX00973-A003-IN0029-CS00000RC-03-N.d
SUBJECT_SAMPLE_FACTORS           	-	CS00000RC-3-04	Sample type:red cross plasma | Gender:-	Batch=3; Age=-; CHEAR Sample name=-; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-CS00000RC-04-P.d 20190916-EX00973-A003-IN0029-CS00000RC-04-N.d
SUBJECT_SAMPLE_FACTORS           	-	CS000QCMP-1-01	Sample type:batch pool | Gender:-	Batch=1; Age=-; CHEAR Sample name=-; RAW_FILE_NAME=20190909-EX00973-A003-IN0029-CS000QCMP-01-P.d 20190909-EX00973-A003-IN0029-CS000QCMP-01-N.d
SUBJECT_SAMPLE_FACTORS           	-	CS000QCMP-1-02	Sample type:batch pool | Gender:-	Batch=1; Age=-; CHEAR Sample name=-; RAW_FILE_NAME=20190909-EX00973-A003-IN0029-CS000QCMP-02-P.d 20190909-EX00973-A003-IN0029-CS000QCMP-02-N.d
SUBJECT_SAMPLE_FACTORS           	-	CS000QCMP-1-03	Sample type:batch pool | Gender:-	Batch=1; Age=-; CHEAR Sample name=-; RAW_FILE_NAME=20190909-EX00973-A003-IN0029-CS000QCMP-03-P.d 20190909-EX00973-A003-IN0029-CS000QCMP-03-N.d
SUBJECT_SAMPLE_FACTORS           	-	CS000QCMP-1-04	Sample type:batch pool | Gender:-	Batch=1; Age=-; CHEAR Sample name=-; RAW_FILE_NAME=20190909-EX00973-A003-IN0029-CS000QCMP-04-P.d 20190909-EX00973-A003-IN0029-CS000QCMP-04-N.d
SUBJECT_SAMPLE_FACTORS           	-	CS000QCMP-1-05	Sample type:batch pool | Gender:-	Batch=1; Age=-; CHEAR Sample name=-; RAW_FILE_NAME=20190909-EX00973-A003-IN0029-CS000QCMP-05-P.d 20190909-EX00973-A003-IN0029-CS000QCMP-05-N.d
SUBJECT_SAMPLE_FACTORS           	-	CS000QCMP-1-06	Sample type:batch pool | Gender:-	Batch=1; Age=-; CHEAR Sample name=-; RAW_FILE_NAME=20190909-EX00973-A003-IN0029-CS000QCMP-06-P.d 20190909-EX00973-A003-IN0029-CS000QCMP-06-N.d
SUBJECT_SAMPLE_FACTORS           	-	CS000QCMP-1-07	Sample type:batch pool | Gender:-	Batch=1; Age=-; CHEAR Sample name=-; RAW_FILE_NAME=20190909-EX00973-A003-IN0029-CS000QCMP-07-P.d 20190909-EX00973-A003-IN0029-CS000QCMP-07-N.d
SUBJECT_SAMPLE_FACTORS           	-	CS000QCMP-1-08	Sample type:batch pool | Gender:-	Batch=1; Age=-; CHEAR Sample name=-; RAW_FILE_NAME=20190909-EX00973-A003-IN0029-CS000QCMP-08-P.d 20190909-EX00973-A003-IN0029-CS000QCMP-08-N.d
SUBJECT_SAMPLE_FACTORS           	-	CS000QCMP-1-09	Sample type:batch pool | Gender:-	Batch=1; Age=-; CHEAR Sample name=-; RAW_FILE_NAME=20190909-EX00973-A003-IN0029-CS000QCMP-09-P.d 20190909-EX00973-A003-IN0029-CS000QCMP-09-N.d
SUBJECT_SAMPLE_FACTORS           	-	CS000QCMP-1-10	Sample type:batch pool | Gender:-	Batch=1; Age=-; CHEAR Sample name=-; RAW_FILE_NAME=20190909-EX00973-A003-IN0029-CS000QCMP-10-P.d 20190909-EX00973-A003-IN0029-CS000QCMP-10-N.d
SUBJECT_SAMPLE_FACTORS           	-	CS000QCMP-1-11	Sample type:batch pool | Gender:-	Batch=1; Age=-; CHEAR Sample name=-; RAW_FILE_NAME=20190909-EX00973-A003-IN0029-CS000QCMP-11-P.d 20190909-EX00973-A003-IN0029-CS000QCMP-11-N.d
SUBJECT_SAMPLE_FACTORS           	-	CS000QCMP-2-01	Sample type:batch pool | Gender:-	Batch=2; Age=-; CHEAR Sample name=-; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-CS000QCMP-01-P.d 20190916-EX00973-A003-IN0029-CS000QCMP-01-N.d
SUBJECT_SAMPLE_FACTORS           	-	CS000QCMP-2-02	Sample type:batch pool | Gender:-	Batch=2; Age=-; CHEAR Sample name=-; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-CS000QCMP-02-P.d 20190916-EX00973-A003-IN0029-CS000QCMP-02-N.d
SUBJECT_SAMPLE_FACTORS           	-	CS000QCMP-2-03	Sample type:batch pool | Gender:-	Batch=2; Age=-; CHEAR Sample name=-; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-CS000QCMP-03-P.d 20190916-EX00973-A003-IN0029-CS000QCMP-03-N.d
SUBJECT_SAMPLE_FACTORS           	-	CS000QCMP-2-04	Sample type:batch pool | Gender:-	Batch=2; Age=-; CHEAR Sample name=-; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-CS000QCMP-04-P.d 20190916-EX00973-A003-IN0029-CS000QCMP-04-N.d
SUBJECT_SAMPLE_FACTORS           	-	CS000QCMP-2-05	Sample type:batch pool | Gender:-	Batch=2; Age=-; CHEAR Sample name=-; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-CS000QCMP-05-P.d 20190916-EX00973-A003-IN0029-CS000QCMP-05-N.d
SUBJECT_SAMPLE_FACTORS           	-	CS000QCMP-2-06	Sample type:batch pool | Gender:-	Batch=2; Age=-; CHEAR Sample name=-; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-CS000QCMP-06-P.d 20190916-EX00973-A003-IN0029-CS000QCMP-06-N.d
SUBJECT_SAMPLE_FACTORS           	-	CS000QCMP-2-07	Sample type:batch pool | Gender:-	Batch=2; Age=-; CHEAR Sample name=-; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-CS000QCMP-07-P.d 20190916-EX00973-A003-IN0029-CS000QCMP-07-N.d
SUBJECT_SAMPLE_FACTORS           	-	CS000QCMP-2-08	Sample type:batch pool | Gender:-	Batch=2; Age=-; CHEAR Sample name=-; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-CS000QCMP-08-P.d 20190916-EX00973-A003-IN0029-CS000QCMP-08-N.d
SUBJECT_SAMPLE_FACTORS           	-	CS000QCMP-2-09	Sample type:batch pool | Gender:-	Batch=2; Age=-; CHEAR Sample name=-; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-CS000QCMP-09-P.d 20190916-EX00973-A003-IN0029-CS000QCMP-09-N.d
SUBJECT_SAMPLE_FACTORS           	-	CS000QCMP-2-10	Sample type:batch pool | Gender:-	Batch=2; Age=-; CHEAR Sample name=-; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-CS000QCMP-10-P.d 20190916-EX00973-A003-IN0029-CS000QCMP-10-N.d
SUBJECT_SAMPLE_FACTORS           	-	CS000QCMP-2-11	Sample type:batch pool | Gender:-	Batch=2; Age=-; CHEAR Sample name=-; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-CS000QCMP-11-P.d 20190916-EX00973-A003-IN0029-CS000QCMP-11-N.d
SUBJECT_SAMPLE_FACTORS           	-	CS000QCMP-2-12	Sample type:batch pool | Gender:-	Batch=2; Age=-; CHEAR Sample name=-; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-CS000QCMP-12-P.d 20190916-EX00973-A003-IN0029-CS000QCMP-12-N.d
SUBJECT_SAMPLE_FACTORS           	-	CS000QCMP-3-01	Sample type:batch pool | Gender:-	Batch=3; Age=-; CHEAR Sample name=-; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-CS000QCMP-01-P.d 20190916-EX00973-A003-IN0029-CS000QCMP-01-N.d
SUBJECT_SAMPLE_FACTORS           	-	CS000QCMP-3-02	Sample type:batch pool | Gender:-	Batch=3; Age=-; CHEAR Sample name=-; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-CS000QCMP-02-P.d 20190916-EX00973-A003-IN0029-CS000QCMP-02-N.d
SUBJECT_SAMPLE_FACTORS           	-	CS000QCMP-3-03	Sample type:batch pool | Gender:-	Batch=3; Age=-; CHEAR Sample name=-; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-CS000QCMP-03-P.d 20190916-EX00973-A003-IN0029-CS000QCMP-03-N.d
SUBJECT_SAMPLE_FACTORS           	-	CS000QCMP-3-04	Sample type:batch pool | Gender:-	Batch=3; Age=-; CHEAR Sample name=-; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-CS000QCMP-04-P.d 20190916-EX00973-A003-IN0029-CS000QCMP-04-N.d
SUBJECT_SAMPLE_FACTORS           	-	CS000QCMP-3-05	Sample type:batch pool | Gender:-	Batch=3; Age=-; CHEAR Sample name=-; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-CS000QCMP-05-P.d 20190916-EX00973-A003-IN0029-CS000QCMP-05-N.d
SUBJECT_SAMPLE_FACTORS           	-	CS000QCMP-3-06	Sample type:batch pool | Gender:-	Batch=3; Age=-; CHEAR Sample name=-; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-CS000QCMP-06-P.d 20190916-EX00973-A003-IN0029-CS000QCMP-06-N.d
SUBJECT_SAMPLE_FACTORS           	-	CS000QCMP-3-07	Sample type:batch pool | Gender:-	Batch=3; Age=-; CHEAR Sample name=-; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-CS000QCMP-07-P.d 20190916-EX00973-A003-IN0029-CS000QCMP-07-N.d
SUBJECT_SAMPLE_FACTORS           	-	CS000QCMP-3-08	Sample type:batch pool | Gender:-	Batch=3; Age=-; CHEAR Sample name=-; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-CS000QCMP-08-P.d 20190916-EX00973-A003-IN0029-CS000QCMP-08-N.d
SUBJECT_SAMPLE_FACTORS           	-	CS000QCMP-3-09	Sample type:batch pool | Gender:-	Batch=3; Age=-; CHEAR Sample name=-; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-CS000QCMP-09-P.d 20190916-EX00973-A003-IN0029-CS000QCMP-09-N.d
SUBJECT_SAMPLE_FACTORS           	-	CS000QCMP-3-10	Sample type:batch pool | Gender:-	Batch=3; Age=-; CHEAR Sample name=-; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-CS000QCMP-10-P.d 20190916-EX00973-A003-IN0029-CS000QCMP-10-N.d
SUBJECT_SAMPLE_FACTORS           	-	CS000QCMP-3-11	Sample type:batch pool | Gender:-	Batch=3; Age=-; CHEAR Sample name=-; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-CS000QCMP-11-P.d 20190916-EX00973-A003-IN0029-CS000QCMP-11-N.d
SUBJECT_SAMPLE_FACTORS           	-	CS000QCMP-3-12	Sample type:batch pool | Gender:-	Batch=3; Age=-; CHEAR Sample name=-; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-CS000QCMP-12-P.d 20190916-EX00973-A003-IN0029-CS000QCMP-12-N.d
SUBJECT_SAMPLE_FACTORS           	-	R00CHRPL1-1-01	Sample type:chear plasma | Gender:-	Batch=1; Age=-; CHEAR Sample name=-; RAW_FILE_NAME=20190909-EX00973-A003-IN0029-R00CHRPL1-01-P.d 20190909-EX00973-A003-IN0029-R00CHRPL1-01-N.d
SUBJECT_SAMPLE_FACTORS           	-	R00CHRPL1-1-02	Sample type:chear plasma | Gender:-	Batch=1; Age=-; CHEAR Sample name=-; RAW_FILE_NAME=20190909-EX00973-A003-IN0029-R00CHRPL1-02-P.d 20190909-EX00973-A003-IN0029-R00CHRPL1-02-N.d
SUBJECT_SAMPLE_FACTORS           	-	R00CHRPL1-1-03	Sample type:chear plasma | Gender:-	Batch=1; Age=-; CHEAR Sample name=-; RAW_FILE_NAME=20190909-EX00973-A003-IN0029-R00CHRPL1-03-P.d 20190909-EX00973-A003-IN0029-R00CHRPL1-03-N.d
SUBJECT_SAMPLE_FACTORS           	-	R00CHRPL1-1-04	Sample type:chear plasma | Gender:-	Batch=1; Age=-; CHEAR Sample name=-; RAW_FILE_NAME=20190909-EX00973-A003-IN0029-R00CHRPL1-04-P.d 20190909-EX00973-A003-IN0029-R00CHRPL1-04-N.d
SUBJECT_SAMPLE_FACTORS           	-	R00CHRPL1-2-01	Sample type:chear plasma | Gender:-	Batch=2; Age=-; CHEAR Sample name=-; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-R00CHRPL1-01-P.d 20190916-EX00973-A003-IN0029-R00CHRPL1-01-N.d
SUBJECT_SAMPLE_FACTORS           	-	R00CHRPL1-2-02	Sample type:chear plasma | Gender:-	Batch=2; Age=-; CHEAR Sample name=-; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-R00CHRPL1-02-P.d 20190916-EX00973-A003-IN0029-R00CHRPL1-02-N.d
SUBJECT_SAMPLE_FACTORS           	-	R00CHRPL1-2-03	Sample type:chear plasma | Gender:-	Batch=2; Age=-; CHEAR Sample name=-; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-R00CHRPL1-03-P.d 20190916-EX00973-A003-IN0029-R00CHRPL1-03-N.d
SUBJECT_SAMPLE_FACTORS           	-	R00CHRPL1-2-04	Sample type:chear plasma | Gender:-	Batch=2; Age=-; CHEAR Sample name=-; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-R00CHRPL1-04-P.d 20190916-EX00973-A003-IN0029-R00CHRPL1-04-N.d
SUBJECT_SAMPLE_FACTORS           	-	R00CHRPL1-3-01	Sample type:chear plasma | Gender:-	Batch=3; Age=-; CHEAR Sample name=-; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-R00CHRPL1-01-P.d 20190916-EX00973-A003-IN0029-R00CHRPL1-01-N.d
SUBJECT_SAMPLE_FACTORS           	-	R00CHRPL1-3-02	Sample type:chear plasma | Gender:-	Batch=3; Age=-; CHEAR Sample name=-; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-R00CHRPL1-02-P.d 20190916-EX00973-A003-IN0029-R00CHRPL1-02-N.d
SUBJECT_SAMPLE_FACTORS           	-	R00CHRPL1-3-03	Sample type:chear plasma | Gender:-	Batch=3; Age=-; CHEAR Sample name=-; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-R00CHRPL1-03-P.d 20190916-EX00973-A003-IN0029-R00CHRPL1-03-N.d
SUBJECT_SAMPLE_FACTORS           	-	R00CHRPL1-3-04	Sample type:chear plasma | Gender:-	Batch=3; Age=-; CHEAR Sample name=-; RAW_FILE_NAME=20190916-EX00973-A003-IN0029-R00CHRPL1-04-P.d 20190916-EX00973-A003-IN0029-R00CHRPL1-04-N.d
#COLLECTION
CO:COLLECTION_SUMMARY            	Standard blood serum collection
CO:SAMPLE_TYPE                   	Blood (serum)
CO:STORAGE_CONDITIONS            	-80℃
#TREATMENT
TR:TREATMENT_SUMMARY             	This is an observational study with no specific treatments applied.
#SAMPLEPREP
SP:SAMPLEPREP_SUMMARY            	Standard untargeted analysis sample preparation protocol
SP:SAMPLEPREP_PROTOCOL_FILENAME  	Untargeted_metabolomics_analysis.doc
#CHROMATOGRAPHY
CH:CHROMATOGRAPHY_SUMMARY        	Positive mode RP
CH:CHROMATOGRAPHY_TYPE           	Reversed phase
CH:INSTRUMENT_NAME               	Agilent 1290 Infinity II
CH:COLUMN_NAME                   	Waters Acquity BEH C18 (100 x 2mm, 1.7um)
CH:METHODS_FILENAME              	Modified-Pos-LCMS1.m.7z
#ANALYSIS
AN:ANALYSIS_TYPE                 	MS
#MS
MS:INSTRUMENT_NAME               	Agilent 6540 QTOF
MS:INSTRUMENT_TYPE               	QTOF
MS:MS_TYPE                       	ESI
MS:ION_MODE                      	POSITIVE
MS:MS_COMMENTS                   	MS1 acquisition followed by recursive search using Agilent Qualitative analysis
MS:MS_COMMENTS                   	software, MPP and in-house software for alignment and reporting. Final data
MS:MS_COMMENTS                   	reduction using Binner
MS:MS_RESULTS_FILE               	ST001325_AN002204_Results.txt	UNITS:Peak area normalized	Has m/z:Neutral masses	Has RT:Yes	RT units:Minutes
#END