Investigating the Genetic Architecture of Non-Cognitive Skills Using GWAS-by-Subtraction

Author:

Demange Perline A.ORCID,Malanchini MargheritaORCID,Mallard Travis T.,Biroli Pietro,Cox Simon R.,Grotzinger Andrew D.,Tucker-Drob Elliot M.,Abdellaoui Abdel,Arseneault Louise,Caspi Avshalom,Corcoran David,Domingue Benjamin,Mitchell Colter,van Bergen Elsje,Boomsma Dorret I.,Harris Kathleen M.,Ip Hill F.,Moffitt Terrie E.,Poulton Richie,Prinz Joseph,Sugden Karen,Wertz Jasmin,Williams Benjamin,de Zeeuw Eveline L.,Belsky Daniel W.ORCID,Harden K. Paige,Nivard Michel G.ORCID

Abstract

AbstractEducational attainment (EA) is influenced by cognitive abilities and by other characteristics and traits. However little is known about the genetic architecture of these “non-cognitive” contributions to EA. Here, we use Genomic Structural Equation Modelling and results of prior genome-wide association studies (GWASs) of EA (N = 1,131,881) and cognitive test performance (N = 257,841) to estimate SNP associations with variation in EA that is independent of cognitive ability. We identified 157 genome-wide significant loci and a polygenic architecture accounting for 57% of genetic variance in EA. Phenotypic and biological annotation revealed that (1) both cognitive and non-cognitive contributions to EA were genetically correlated with socioeconomic success and longevity; and (2) non-cognitive contributions to EA were related to personality, decision making, risk-behavior, and increased risk for psychiatric disorders; (3) non-cognitive and cognitive contributions to EA were enriched in the same tissues and cell types, but (4) showed different associations with gray-matter neuroimaging phenotypes.

Publisher

Cold Spring Harbor Laboratory

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