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bioRxiv · 10.1101/106062

Heterogeneity in polygenic scores for common human traits

Ware, E. B.·Schmitz, L. L.·Faul, J. D.·Gard, A.·Mitchell, C.·Smith, J. A.·Zhao, W.·Weir, D.·Kardia, S. L.
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Abstract

Introduction Introduction Results Discussion Materials and Methods Conflict of Interest References Genome-wide association studies (GWAS) on a wide range of important human traits have identified hundreds of variants in multi-cohort meta-analyses that have highly significant associations (p<5 x10-8) that replicate across studies. However, the identified genetic variants, or single nucleotide polymorphisms (SNPs), generally explain a very small fraction of variability in the trait of interest. Moreover, for most behavioral and health scientists, the use of such massive and complex genetic data is unwieldy. In response to the desire to harness genome-wide information, use of polygenic scores (PGSs), also known as \"genetic risk scores\", has grown rapidly in the social, behavioral, and health sciences rec ...

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Ware, E. B., Schmitz, L. L., Faul, J. D., Gard, A., Mitchell, C., Smith, J. A., Zhao, W., Weir, D., Kardia, S. L.. 2017-02-05. Heterogeneity in polygenic scores for common human traits. https://doi.org/10.1101/106062

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