TY - JOUR
T1 - Genetic Risk for Smoking: Disentangling Interplay Between Genes and Socioeconomic Status
T2 - Disentangling Interplay Between Genes and Socioeconomic Status
AU - Pasman, Joëlle A.
AU - Demange, Perline A.
AU - Guloksuz, Sinan
AU - Willemsen, A. H. M.
AU - Abdellaoui, Abdel
AU - Ten Have, Margreet
AU - Hottenga, Jouke Jan
AU - Boomsma, Dorret I.
AU - de Geus, Eco
AU - Bartels, Meike
AU - De Graaf, Ron
AU - Verweij, Karin J. H.
AU - Smit, Dirk J.
AU - Nivard, Michel
AU - Vink, Jacqueline M.
N1 - Funding Information: Open access funding provided by Karolinska Institute. M.G.N. is supported by the National Institute Of Mental Health of the National Institutes of Health under Award Number R01MH120219, ZonMW Grants 849200011 and 531003014 from The Netherlands Organisation for Health Research and Development, a VENI grant awarded by The Dutch Research Council (NWO) (VI.Veni.191G.030) and is a Jacobs Foundation Fellow. The NTR is supported by: ‘Twin-family database for behavior genetics and genomics studies’ (NWO 480-04-004), Longitudinal data collection from teachers of Dutch twins and their siblings (NWO-481-08-011); Twin-family study of individual differences in school achievement (NWO 056-32-010) and Gravitation program of the Dutch Ministry of Education, Culture and Science and the Netherlands Organization for Scientific Research (NWO 0240-001-003); NWO Groot (480-15-001/674): Netherlands Twin Registry Repository: researching the interplay between genome and environment; NWO-Spi-56-464-14192 Biobanking and Biomolecular Resources Research Infrastructure (BBMRI—NL, 184.021.007 and 184.033.111); European Research Council (ERC-230374); the Avera Institute for Human Genetics, Sioux Falls, South Dakota (USA) and the National Institutes of Health (NIH, R01D0042157-01A); and the National Institute of Mental Health Grand Opportunity grants (grant nos. 1RC2MH089951-01 and 1RC2 MH089995-01). The Netherlands Mental Health Survey and Incidence Study-2 (NEMESIS-2) is conducted by the Netherlands Institute of Mental Health and Addiction (Trimbos Institute) in Utrecht, The Netherlands. Financial support has been received from the Ministry of Health, Welfare and Sport, with supplemental support from the Netherlands Organization for Health Research and Development (ZonMw) and the Genetic Risk and Outcome of Psychosis (GROUP) investigators. A.A. and K.J.H.V. are supported by the Foundation Volksbond Rotterdam. A.A. is also supported by ZonMw Grant No. 849200011 from The Netherlands Organisation for Health Research and Development. Publisher Copyright: © 2021, The Author(s).
PY - 2022/3
Y1 - 2022/3
N2 - This study aims to disentangle the contribution of genetic liability, educational attainment (EA), and their overlap and interaction in lifetime smoking. We conducted genome-wide association studies (GWASs) in UK Biobank (N = 394,718) to (i) capture variants for lifetime smoking, (ii) variants for EA, and (iii) variants that contribute to lifetime smoking independently from EA (‘smoking-without-EA’). Based on the GWASs, three polygenic scores (PGSs) were created for individuals from the Netherlands Twin Register (NTR, N = 17,805) and the Netherlands Mental Health Survey and Incidence Study-2 (NEMESIS-2, N = 3090). We tested gene–environment (G × E) interactions between each PGS, neighborhood socioeconomic status (SES) and EA on lifetime smoking. To assess if the PGS effects were specific to smoking or had broader implications, we repeated the analyses with measures of mental health. After subtracting EA effects from the smoking GWAS, the SNP-based heritability decreased from 9.2 to 7.2%. The genetic correlation between smoking and SES characteristics was reduced, whereas overlap with smoking traits was less affected by subtracting EA. The PGSs for smoking, EA, and smoking-without-EA all predicted smoking. For mental health, only the PGS for EA was a reliable predictor. There were suggestions for G × E for some relationships, but there were no clear patterns per PGS type. This study showed that the genetic architecture of smoking has an EA component in addition to other, possibly more direct components. PGSs based on EA and smoking-without-EA had distinct predictive profiles. This study shows how disentangling different models of genetic liability and interplay can contribute to our understanding of the etiology of smoking.
AB - This study aims to disentangle the contribution of genetic liability, educational attainment (EA), and their overlap and interaction in lifetime smoking. We conducted genome-wide association studies (GWASs) in UK Biobank (N = 394,718) to (i) capture variants for lifetime smoking, (ii) variants for EA, and (iii) variants that contribute to lifetime smoking independently from EA (‘smoking-without-EA’). Based on the GWASs, three polygenic scores (PGSs) were created for individuals from the Netherlands Twin Register (NTR, N = 17,805) and the Netherlands Mental Health Survey and Incidence Study-2 (NEMESIS-2, N = 3090). We tested gene–environment (G × E) interactions between each PGS, neighborhood socioeconomic status (SES) and EA on lifetime smoking. To assess if the PGS effects were specific to smoking or had broader implications, we repeated the analyses with measures of mental health. After subtracting EA effects from the smoking GWAS, the SNP-based heritability decreased from 9.2 to 7.2%. The genetic correlation between smoking and SES characteristics was reduced, whereas overlap with smoking traits was less affected by subtracting EA. The PGSs for smoking, EA, and smoking-without-EA all predicted smoking. For mental health, only the PGS for EA was a reliable predictor. There were suggestions for G × E for some relationships, but there were no clear patterns per PGS type. This study showed that the genetic architecture of smoking has an EA component in addition to other, possibly more direct components. PGSs based on EA and smoking-without-EA had distinct predictive profiles. This study shows how disentangling different models of genetic liability and interplay can contribute to our understanding of the etiology of smoking.
KW - Educational attainment
KW - GWAS
KW - GWAS-by-subtraction
KW - Gene–environment correlation
KW - Gene–environment interaction
KW - Mental health
KW - Neighborhood
KW - Smoking
KW - Socioeconomic status
KW - Wellbeing
UR - http://www.scopus.com/inward/record.url?scp=85120543940&partnerID=8YFLogxK
U2 - https://doi.org/10.1007/s10519-021-10094-4
DO - https://doi.org/10.1007/s10519-021-10094-4
M3 - Article
C2 - 34855049
SN - 0001-8244
VL - 52
SP - 92
EP - 107
JO - Behavior genetics
JF - Behavior genetics
IS - 2
ER -