Generalization and Dilution of Association Results from European GWAS in Populations of Non-European Ancestry: The PAGE Study
By C. Carlson, T. Matise, K. North, C. Haiman, M. Fesinmeyer, S. Buyske, F. Schumacher, U. Peters, N. Franceschini, Marylyn DeRiggi Ritchie and 12 more. 2013
238 citations recorded by the source corpus.
A multi-ethnic study demonstrates that the extrapolation of genetic disease risk models from European populations to other ethnicities is compromised more strongly by genetic structure than by environmental or global genetic background in differential genetic risk associations across ethnicities.
Subfields: Genetics
How researchers see this paper
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In Genetics
- Brett K. Beaulieu-Jones
- Casey S. Greene
- Zhiyong Lu
- Jinbo Xu
- Daniel S. Himmelstein
- Anshul B Kundaje
- Avanti Shrikumar
- Gail L. Rosen
Citations in the corpus
- Opportunities and obstacles for deep learning in biology and medicine (2017, background): “First, research samples are frequently non-representative of the general population of interest; they tend to be disproportionately sick [124], male [125], and European in ancestry [126].”
- An Unexpectedly Complex Architecture for Skin Pigmentation in Africans (2017, unknown): “…all significant GWAS associations that are polymorphic across well-studied populations are on average directionally consistent at individual loci across populations (Liu et al., 2015; Carlson et al., 2013), but that, in aggregate, prediction accuracy varies across populations (Martin et al., 2017).”