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[Preprint]. 2024 Feb 27:2024.02.20.24303036. [Version 1] doi: 10.1101/2024.02.20.24303036

Table 1. Summary data, associated publications, and data sources for the four Behavioral Disinhibition traits, four Substance Use Disorder traits, and seven pre-registered Substance Use traits initially considered for the Substance Use Factor.

N = raw sample size used. Note that, in some cases, sample sizes in publicly available data are lower than total sample size reported in the corresponding publication(s) or in the table because of data access restrictions on some cohorts. Neff = effective sample size (for dichotomous traits), as provided in the summary statistics or calculated with respect to prevalence and sample size across cohorts. h2SNP = the proportion of trait variation in the sample(s) accounted for by variation in single nucleotide polymorphisms (SNPs). See sections 2.2.12.2.3 for further descriptions of phenotypes. ADHD = Attention-deficit Hyperactivity Disorder, NSEX = Number of Lifetime Sexual Partners, FSEX = Age at First Sexual Intercourse (reverse-coded), RISK = General Risk Tolerance, PTU = Problem Tobacco Use, PAU = Problem Alcohol Use, CUD = Cannabis Use Disorder, OUD = Opioid Use Disorder, CI = Cannabis Initiation, SI = Smoking Initiation, DPW = Drinks per Week, DRUG = Drug Experimentation (the number of different classes of drugs an individual has used out of eleven), CPD = Cigarettes per Day, DRINK STAT = Drinking Status (drinker vs. non-drinker), FREQ = Drinking Frequency.

Trait N Neff h 2 SNP/ s.e.(h 2 SNP) Publication(s) Summary Statistics Source
ADHD 225,534 141,035.20 21.12 https://www.nature.com/articles/s41588-022-01285-81 https://figshare.com/articles/dataset/adhd2022/22564390
NSEX 370,711 N/A 28.77 https://www.nature.com/articles/s41588-018-0309-32 https://thessgac.com/papers/2/5
FSEX 397,338 N/A 31.96 https://www.nature.com/articles/s41562-021-01135-33 http://ftp.ebi.ac.uk/pub/databases/gwas/summary_statistics/GCST90000001-GCST90001000/GCST90000047/
RISK 466,571 268,876 22.17 https://www.nature.com/articles/s41588-018-0309-32 https://thessgac.com/papers/2/1
PTU 15,988 N/A 4.22 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5882602/4 https://ftp-ncbi-nlm-nih-gov.colorado.idm.oclc.org/dbgap/studies/phs001532/analyses/
PAU 435,563 300,789.60 18.47 https://www.nature.com/articles/s41593-020-0643-55 https://figshare.com/articles/dataset/sud2019-alcuse/14672193
https://figshare.com/articles/dataset/sud2018-alc/14672187
CUD 357,806 47,952.51 10.71 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7674631/6 https://figshare.com/articles/dataset/sud2020-cud/14842692
OUD 82,707 32,703.49 6.14 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7270886/7 https://figshare.com/articles/dataset/sud2020-op/14672211
CI 184,765 144,698.95 15.96 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6386176/8 Available Upon Request
SI ~1,300,000 1,363,137.10 29.93 https://www.nature.com/articles/s41586-022-05477-49 (GSCAN)
https://www.nature.com/articles/s41588-018-0307-510 (23andMe)
https://conservancy.umn.edu/handle/11299/241912
DPW ~1,070,917 N/A 21.32 https://www.nature.com/articles/s41586-022-05477-49 (GSCAN)
https://www.nature.com/articles/s41588-018-0307-510 (23andMe)
https://conservancy.umn.edu/handle/11299/241912
DRUG 22,572 N/A 4.69 https://pubmed.ncbi.nlm.nih.gov/30718321/11 N/A
CPD ~360,808 N/A 20.16 https://www.nature.com/articles/s41586-022-05477-49 (GSCAN)
https://www.nature.com/articles/s41588-018-0307-510 (23andMe)
https://conservancy.umn.edu/handle/11299/241912
DRINK STAT 398,853 376,693.97 21.22 https://www.nature.com/articles/s41588-018-0307-510 N/A
FREQ 462,016 N/A 19.98 https://onlinelibrary.wiley.com/doi/abs/10.1002/ajmg.b.3287412 N/A