Why It Is Hard to Find Genes Associated With Social Science Traits: Theoretical and Empirical Considerations
Author(s) -
Christopher F. Chabris,
James J. Lee,
Daniel J. Benjamin,
Jonathan Beauchamp,
Edward L. Glaeser,
Grégoire Borst,
Steven Pinker,
David Laibson
Publication year - 2013
Publication title -
american journal of public health
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.284
H-Index - 264
eISSN - 1541-0048
pISSN - 0090-0036
DOI - 10.2105/ajph.2013.301327
Subject(s) - genetic architecture , genome wide association study , biology , genetic association , selection (genetic algorithm) , evolutionary biology , genetics , behavioural genetics , natural selection , allele , genomics , quantitative trait locus , gene , genome , computer science , single nucleotide polymorphism , machine learning , genotype
We explain why traits of interest to behavioral scientists may have a genetic architecture featuring hundreds or thousands of loci with tiny individual effects rather than a few with large effects and why such an architecture makes it difficult to find robust associations between traits and genes.
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