A Family-Based Rare Haplotype Association Method for Quantitative Traits.

ABSTRACT:

Background

The variants identified in genome-wide association studies account for only a small fraction of disease heritability. A key to this "missing heritability" is believed to be rare variants. Specifically, we focus on rare haplotype variant (rHTV). The existing methods for detecting rHTV are mostly population-based, and as such, are susceptible to population stratification and admixture, leading to an inflated false-positive rate. Family-based methods are more robust in this respect.

Methods

We propose a method for detecting rHTVs associated with quantitative traits called family-based quantitative Bayesian LASSO (famQBL). FamQBL can analyze any type of pedigree and is based on a mixed model framework. We regularize the haplotype effects using Bayesian LASSO and estim

SUBMITTER: Datta AS 

PROVIDER: S-EPMC6521833 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature