Literature DB >> 17476111

A simple and robust TDT-type test against genotyping error with error rates varying across families.

K F Cheng1, J H Chen.   

Abstract

The transmission/disequilibrium test (TDT), a family based test of linkage and association, is a popular test for studies of complex inheritance, as it is nonparametric and robust against spurious conclusions induced by hidden genetic structure, such as stratification or admixture. However, the TDT may be biased by genotyping errors. Undetected genotyping errors may be contributing to an inflated type I error rate among reported TDT-derived associations. To adjust for bias, a popular approach is to assume a genotype error model for describing the pattern of errors and propose association tests using likelihood method. However, all model-based approaches tend to perform unsatisfactorily if the related genotyping error rates are not identical across all families. In this paper, we propose a TDT-type association test which is not only simple, robust against population stratification (and hence the assumption of Hardy-Weinberg equilibrium is not required), but also robust against genotyping error with error rates varying across families. Simulation studies confirm that the new test has very reasonable performance. Copyright (c) 2007 S. Karger AG, Basel.

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Year:  2007        PMID: 17476111     DOI: 10.1159/000101963

Source DB:  PubMed          Journal:  Hum Hered        ISSN: 0001-5652            Impact factor:   0.444


  9 in total

1.  Family-based association tests using genotype data with uncertainty.

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2.  Marker genotyping error effects on genomic predictions under different genetic architectures.

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Journal:  Mol Genet Genomics       Date:  2020-09-29       Impact factor: 3.291

3.  On the genome-wide analysis of copy number variants in family-based designs: methods for combining family-based and population-based information for testing dichotomous or quantitative traits, or completely ascertained samples.

Authors:  Amy Murphy; Sungho Won; Angela Rogers; Jen-Hwa Chu; Benjamin A Raby; Christoph Lange
Journal:  Genet Epidemiol       Date:  2010-09       Impact factor: 2.135

4.  Genotyping error detection in samples of unrelated individuals without replicate genotyping.

Authors:  Nianjun Liu; Dabao Zhang; Hongyu Zhao
Journal:  Hum Hered       Date:  2008-12-15       Impact factor: 0.444

5.  Single-variant and multi-variant trend tests for genetic association with next-generation sequencing that are robust to sequencing error.

Authors:  Wonkuk Kim; Douglas Londono; Lisheng Zhou; Jinchuan Xing; Alejandro Q Nato; Anthony Musolf; Tara C Matise; Stephen J Finch; Derek Gordon
Journal:  Hum Hered       Date:  2013-04-11       Impact factor: 0.444

6.  Evaluating the evidence for transmission distortion in human pedigrees.

Authors:  Wynn K Meyer; Barbara Arbeithuber; Carole Ober; Thomas Ebner; Irene Tiemann-Boege; Richard R Hudson; Molly Przeworski
Journal:  Genetics       Date:  2012-02-29       Impact factor: 4.562

7.  On quality control measures in genome-wide association studies: a test to assess the genotyping quality of individual probands in family-based association studies and an application to the HapMap data.

Authors:  David W Fardo; Iuliana Ionita-Laza; Christoph Lange
Journal:  PLoS Genet       Date:  2009-07-24       Impact factor: 6.020

8.  Impact of genotyping errors on the type I error rate and the power of haplotype-based association methods.

Authors:  Vivien Marquard; Lars Beckmann; Iris M Heid; Claudia Lamina; Jenny Chang-Claude
Journal:  BMC Genet       Date:  2009-01-29       Impact factor: 2.797

9.  Trend-TDT - a transmission/disequilibrium based association test on functional mini/microsatellites.

Authors:  Bing-Jian Feng; David E Goldgar; Marilys Corbex
Journal:  BMC Genet       Date:  2007-11-01       Impact factor: 2.797

  9 in total

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