TY - JOUR
T1 - Genetic influences on the interactionist model of socioeconomic development
T2 - Incorporating polygenic scores for educational attainment into developmental research using the Family Transitions Project (FTP).
AU - Donnellan, M. Brent
AU - Martin, Monica J.
AU - Senia, Jennifer M.
N1 - Funding Information:
Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institute on Aging, National Institute of Mental Health, National Institute on Drug Abuse, National Institute of Child Health and Human Development
Publisher Copyright:
© 2021 American Psychological Association
PY - 2021/2
Y1 - 2021/2
N2 - Genetic and environmental factors account for variability in a range of developmental outcomes, including socioeconomic status (SES). The challenge is to find ways to incorporate genetic information based on studies using biologically related family members (i.e., studies not involving twins). To address this issue, we computed polygenic scores associated with educational attainment (Lee et al., 2018) for the Family Transitions Project (e.g., R. D. Conger & Conger, 2002) and incorporated them into the model tested by R. D. Conger, Martin, and Masarik, (2021). Polygenic scores correlated with observed educational attainment for all relevant members of the Family Transitions Project. Moreover, polygenic scores were correlated with many of the other constructs in the R. D. Conger et al. (2021) model, pointing to the relevance of genetic factors for process models of SES attainment. At the same time, the primary pathways described by R. D. Conger et al. (2021) remained viable when polygenic scores were included in the analyses, suggesting that the environmental pathways predicted by the interactionist model (e.g., R. D. Conger, Conger, & Martin, 2010) are still tenable. The current study thereby illustrates how genetic information can be included in tests of developmental models to clarify SES attainment across generations.
AB - Genetic and environmental factors account for variability in a range of developmental outcomes, including socioeconomic status (SES). The challenge is to find ways to incorporate genetic information based on studies using biologically related family members (i.e., studies not involving twins). To address this issue, we computed polygenic scores associated with educational attainment (Lee et al., 2018) for the Family Transitions Project (e.g., R. D. Conger & Conger, 2002) and incorporated them into the model tested by R. D. Conger, Martin, and Masarik, (2021). Polygenic scores correlated with observed educational attainment for all relevant members of the Family Transitions Project. Moreover, polygenic scores were correlated with many of the other constructs in the R. D. Conger et al. (2021) model, pointing to the relevance of genetic factors for process models of SES attainment. At the same time, the primary pathways described by R. D. Conger et al. (2021) remained viable when polygenic scores were included in the analyses, suggesting that the environmental pathways predicted by the interactionist model (e.g., R. D. Conger, Conger, & Martin, 2010) are still tenable. The current study thereby illustrates how genetic information can be included in tests of developmental models to clarify SES attainment across generations.
KW - educational attainment
KW - family processes
KW - longitudinal research
KW - polygenic scores
KW - socioeconomic status (SES)
UR - http://www.scopus.com/inward/record.url?scp=85101410376&partnerID=8YFLogxK
U2 - 10.1037/dev0000901
DO - 10.1037/dev0000901
M3 - Article
C2 - 33539126
AN - SCOPUS:85101410376
SN - 0012-1649
VL - 57
SP - 180
EP - 190
JO - Developmental Psychology
JF - Developmental Psychology
IS - 2
ER -