False Discovery Rate in Linkage and Association Genome Screens for Complex Disorders

Open Access

1 June 2003

journal article
research article
Published by Oxford University Press (OUP) in Genetics

Vol. 164 (2) , 829-833
https://doi.org/10.1093/genetics/164.2.829

Abstract

We explore the implications of the false discovery rate (FDR) controlling procedure in disease gene mapping. With the aid of simulations, we show how, under models commonly used, the simple step-down procedure introduced by Benjamini and Hochberg controls the FDR for the dependent tests on which linkage and association genome screens are based. This adaptive multiple comparison procedure may offer an important tool for mapping susceptibility genes for complex diseases.

Keywords

This publication has 14 references indexed in Scilit:

Genomewide Linkage Disequilibrium Mapping of Severe Bipolar Disorder in a Population Isolate
American Journal of Human Genetics, 2002
Empirical Bayes Analysis of a Microarray Experiment
Journal of the American Statistical Association, 2001
The control of the false discovery rate in multiple testing under dependency
The Annals of Statistics, 2001
Linkage-Disequilibrium Mapping of Disease Genes by Reconstruction of Ancestral Haplotypes in Founder Populations
American Journal of Human Genetics, 1999
A New Approach to the Problem of Multiple Comparisons in the Genetic Dissection of Complex Traits
Genetics, 1998
Genetic dissection of complex traits: guidelines for interpreting and reporting linkage results
Nature Genetics, 1995
Statistical methods for linkage analysis of complex traits from high-resolution maps of identity by descent.
Genetics, 1995
Gaussian models for genetic linkage analysis using complete high-resolution maps of identity by descent.
1993
Mapping mendelian factors underlying quantitative traits using RFLP linkage maps.
Genetics, 1989
Strategies for studying heterogeneous genetic traits in humans by using a linkage map of restriction fragment length polymorphisms.
Proceedings of the National Academy of Sciences, 1986