#METABOLOMICS WORKBENCH araskind_20200226_054131 DATATRACK_ID:1931 STUDY_ID:ST001325 ANALYSIS_ID:AN002205 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 NEGATIVE 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_AN002205_Results.txt UNITS:Peak area normalized Has m/z:Neutral masses Has RT:Yes RT units:Minutes #END