Family-based Association Tests for Sequence Data, and Comparisons with Population-based Association Tests

Overview

Journal Eur J Hum Genet

Specialty Genetics

Date 2013 Feb 7

PMID 23386037

Citations 59

Authors

Iuliana Ionita-Laza

Seunggeun Lee

Vladimir Makarov

Joseph D Buxbaum

Xihong Lin

Affiliations

Soon will be listed here.

Abstract

Recent advances in high-throughput sequencing technologies make it increasingly more efficient to sequence large cohorts for many complex traits. We discuss here a class of sequence-based association tests for family-based designs that corresponds naturally to previously proposed population-based tests, including the classical Burden and variance-component tests. This framework allows for a direct comparison between the powers of sequence-based association tests with family- vs population-based designs. We show that for dichotomous traits using family-based controls results in similar power levels as the population-based design (although at an increased sequencing cost for the family-based design), while for continuous traits (in random samples, no ascertainment) the population-based design can be substantially more powerful. A possible disadvantage of population-based designs is that they can lead to increased false-positive rates in the presence of population stratification, while the family-based designs are robust to population stratification. We show also an application to a small exome-sequencing family-based study on autism spectrum disorders. The tests are implemented in publicly available software.

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