Table 1. Overview About the PGS Candidate Features in the Data Set^a.

Source	PGSa	Phenotype
Wray et al,41 2018	EA_PGS3_MDD2_PGC18	Major depressive disorder
Schizophrenia Working Group of the Psychiatric Genomics Consortium,18 2014	PGS_SCZ_PGC14	Schizophrenia
Duncan et al,42 2018	EA_PGS3_PTSDEA_PGC18	Posttraumatic stress disorder
Demontis et al,43 2019	EA_PGS3_ADHD_PGC17	Attention-deficit/hyperactivity disorder
Arnold et al,44 2018	EA_PGS3_OCD_IOCDF17	Obsessive-compulsive disorder
Psychiatric GWAS Consortium Bipolar Disorder Working Group,20 2011	EA_PGS3_BIP_PGC11	Bipolar disorder
de Moor et al,45 2015	PGS_neuroticism_SSGAC16	Neuroticism
Ripke et al,46 2013	PGS_depsymp_SSGAC16	Depressive symptoms
Otowa et al,47 2016	EA_PGS3_ANXFS_ANGST16	Anxiety symptoms continuous
Okbay et al,48 2016	PGS_well-being_SSGAC16	Well-being
	EA_PGS3_EXTRAV_GPC17	Extraversion
Davies et al,49 2015	PGS_GenCog_CHARGE15	Cognitive function
Lee et al,50 2018	PGS_EDU3_SSGAC18	Educational attainment
Bolton et al,51 2014	EA_PGS3_CRTSL_CORNET14	Cortisol
Furberg et al,52 2010	PGS_EvrSmk_TAG10	Smoking behavior
Shungin et al,53 2015	PGS_WC_GIANT15	Waist circumference
	PGS_WHR_GIANT15	Body fat distribution
Locke et al,54 2015	PGS_BMI_GIANT15	Body mass index
Willer et al,55 2013	EA_PGS3_HDL_GLGC13	High-density lipoprotein cholesterol
	EA_PGS3_LDL_GLGC13	Low-density lipoprotein cholesterol
	EA_PGS3_TC_GLGC13	Total cholesterol

Abbreviations: GWAS, genome-wide association study; HRS, Health and Retirement Study; PGS, polygenic score.

^aThese PGSs were selected for their potential relevance for discriminating heterogeneous stress responses based on previous analyses of the HRS data set.⁴⁰