Literature DB >> 15305329

New approach to association testing in case-parent designs under informative parental missingness.

Yi-Hau Chen1.   

Abstract

The transmission/disequilibrium test (TDT) and related methods using genotype data on diseased probands and their both parents (triads) have been popular for testing linkage or association between a disease and a candidate gene. The usefulness of the TDT-type approaches lies mainly in their robustness, in the sense that they are valid under population stratification, arbitrary parental genotype distribution, and "informative" parental missingness where the parental missingness may depend on parental genotypes. Recently, a variety of extended TDTs were developed to accommodate parental missingness and to allow for using incomplete triads, including single-offspring-single-parent families (dyads) and single offspring with no parents (monads). However, these methods usually do not preserve the full robustness of the original TDT. In this paper, we propose a new TDT-type approach based on the conditional likelihood of the proband's genotype given the number and, if any, genotypes of the available parents, as well as the proband's phenotype. This new proposal keeps the full robust property of the original TDT. In addition, the new method is very easy to implement, without the need to specify models on parental mating-type probabilities and on parental missingness.

Mesh:

Year:  2004        PMID: 15305329     DOI: 10.1002/gepi.20004

Source DB:  PubMed          Journal:  Genet Epidemiol        ISSN: 0741-0395            Impact factor:   2.135


  9 in total

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

Authors:  Zhaoxia Yu
Journal:  Biostatistics       Date:  2011-12-08       Impact factor: 5.899

2.  An evaluation of power and type I error of single-nucleotide polymorphism transmission/disequilibrium-based statistical methods under different family structures, missing parental data, and population stratification.

Authors:  Kristin K Nicodemus; Augustin Luna; Yin Yao Shugart
Journal:  Am J Hum Genet       Date:  2006-12-07       Impact factor: 11.025

3.  Combined haplotype relative risk (CHRR): a general and simple genetic association test that combines trios and unrelated case-controls.

Authors:  Chao-Yu Guo; Kathryn L Lunetta; Anita L DeStefano; L Adrienne Cupples
Journal:  Genet Epidemiol       Date:  2009-01       Impact factor: 2.135

4.  On combining triads and unrelated subjects data in candidate gene studies: an application to data on testicular cancer.

Authors:  Li Hsu; Jacqueline R Starr; Yingye Zheng; Stephen M Schwartz
Journal:  Hum Hered       Date:  2008-12-12       Impact factor: 0.444

5.  Modeling Informatively Missing Genotypes in Haplotype Analysis.

Authors:  Nianjun Liu; Richard Bucala; Hongyu Zhao
Journal:  Commun Stat Theory Methods       Date:  2009       Impact factor: 0.893

6.  Handling missing data in transmission disequilibrium test in nuclear families with one affected offspring.

Authors:  Gulhan Bourget
Journal:  PLoS One       Date:  2012-10-08       Impact factor: 3.240

7.  Reducing bias of allele frequency estimates by modeling SNP genotype data with informative missingness.

Authors:  Wan-Yu Lin; Nianjun Liu
Journal:  Front Genet       Date:  2012-06-18       Impact factor: 4.599

8.  Impact of non-ignorable missingness on genetic tests of linkage and/or association using case-parent trios.

Authors:  Chao-Yu Guo; Jing Cui; L Adrienne Cupples
Journal:  BMC Genet       Date:  2005-12-30       Impact factor: 2.797

9.  The impact of complex informative missingness on the validity of the transmission/disequilibrium test (TDT).

Authors:  Chao-Yu Guo
Journal:  BMC Proc       Date:  2007-12-18
  9 in total

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