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Exact Family‐based Association Tests for Biallelic Data by Kady Schneiter; Nan Laird; Chris Corcoran is a Biochemistry, Genetics and Molecular Biology article available to read on EtoBox.

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## Abstract Family‐based study designs have an important role in the search for association between disease phenotypes and genetic markers. Unlike traditional case‐control methods, family‐based tests use within‐family data to avoid identification of spurious associations that may result from population admixture. Many family‐based association tests have been proposed to accommodate a variety of ascertainment schemes and patterns of missing data. In this report, we describe exact family‐based association tests for biallelic data. Specifically, we discuss test of the null hypotheses “no linkage and no association” and “linkage, but no association”. These tests, which are valid under various models for inheritance and patterns of missingness, utilize the procedure proposed by Rabinowitz and Laird [2000: Hum Hered 50:211–223] that provides a unified framework for family based association testing (FBAT). The conditioning approach implemented in FBAT makes an exact test conceptually straightforward, but computationally difficult since the minimum sufficient statistics upon which we condition do not have a conventional form. An exact test may be especially critical when accurate computati

Who reads Exact Family‐based Association Tests for Biallelic Data?

Author

Kady Schneiter; Nan Laird; Chris Corcoran

Publisher

John Wiley and Sons; Wiley (John Wiley & Sons); John Wiley & Sons Inc.; Wiley (ISSN 0741-0395)

Published

2005

Language

EN

Field

Biochemistry, Genetics and Molecular Biology (Life Sciences)