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Article

Efficient Software for Multi-marker, Region-Based Analysis of GWAS Data.

G3 (Bethesda, Md.) - 7 Apr 2016

Sanjak Jaleal S, Long Anthony D, Thornton Kevin R

Abstract excerpt

Genome-wide association studies (GWAS) have associated many single variants with complex disease, yet the better part of heritable complex disease risk remains unexplained. Analytical tools designed to work under specific population genetic models are needed. Rare variants are increasingly shown to be important in human complex disease, but most existing GWAS data do not cover rare variants. Explicit population...

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PMID: 26865700
DOI: 10.1534/g3.115.026013
PMCID: PMC4825638

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