Article
Post hoc Analysis for Detecting Individual Rare Variant Risk Associations Using Probit Regression Bayesian Variable Selection Methods in Case-Control Sequencing Studies.
Genetic epidemiology - 1 Sept 2016
Larson Nicholas B, McDonnell Shannon, Albright Lisa Cannon, Teerlink Craig, Stanford Janet, Ostrander Elaine A, Isaacs William B, Xu Jianfeng, Cooney Kathleen A, Lange Ethan, Schleutker Johanna, Carpten John D, Powell Isaac, Bailey-Wilson Joan, Cussenot Olivier, Cancel-Tassin Geraldine, Giles Graham, MacInnis Robert, Maier Christiane, Whittemore Alice S, Hsieh Chih-Lin, Wiklund Fredrik, Catalona William J, Foulkes William, Mandal Diptasri, Eeles Rosalind, Kote-Jarai Zsofia, Ackerman Michael J, Olson Timothy M, Klein Christopher J, Thibodeau Stephen N, Schaid Daniel J
Abstract excerpt
Rare variants (RVs) have been shown to be significant contributors to complex disease risk. By definition, these variants have very low minor allele frequencies and traditional single-marker methods for statistical analysis are underpowered for typical sequencing study sample sizes. Multimarker burden-type approaches attempt to identify aggregation of RVs across case-control status by analyzing relatively small...
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