Literature DB >> 10400559

Transmission disequilibrium test (TDT) when only one parent is available: the 1-TDT.

F Sun1, W D Flanders, Q Yang, M J Khoury.   

Abstract

The transmission disequilibrium test (TDT) is a useful method to locate mutations linked to disease genes associated with complex diseases. TDT requires genotypes of affected individuals and their parents. Recently, Ewens and Spielman (Am J Hum Genet 1998;62:450-8) extended the TDT for use in sibships with at least one affected and one unaffected individual and devised a new test called the sib transmission/disequilibrium test (S-TDT). The S-TDT can be applied to diseases with late age at onset such as non-insulin-dependent diabetes mellitus, psychiatric disorders, and diseases related to aging. For some disorders, it might be relatively easy to obtain the genotype of one parent either because the other parent is not available for study or he/she is not cooperative. Curtis and Sham (Ann Hum Genet 1995;59:323-36) showed that bias in transmitting certain alleles is introduced if only heterozygous parents and homozygous offspring are used in the TDT. In this paper, the authors propose a new test, the 1-TDT, to detect linkage between a candidate locus and a disease locus using genotypes of affected individuals and only one available parent for each affected individual. The test is not biased under the null hypothesis of no linkage or association. The authors validate their test using both simulated and real data sets. Finally, they show how to combine data from different types of families.

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Mesh:

Year:  1999        PMID: 10400559     DOI: 10.1093/oxfordjournals.aje.a009923

Source DB:  PubMed          Journal:  Am J Epidemiol        ISSN: 0002-9262            Impact factor:   4.897


  33 in total

1.  Accounting for unmeasured population substructure in case-control studies of genetic association using a novel latent-class model.

Authors:  G A Satten; W D Flanders; Q Yang
Journal:  Am J Hum Genet       Date:  2001-01-19       Impact factor: 11.025

2.  Transmission/disequilibrium tests using multiple tightly linked markers.

Authors:  H Zhao; S Zhang; K R Merikangas; M Trixler; D B Wildenauer; F Sun; K K Kidd
Journal:  Am J Hum Genet       Date:  2000-08-31       Impact factor: 11.025

3.  Informative missingness in genetic association studies: case-parent designs.

Authors:  Andrew S Allen; Paul J Rathouz; Glen A Satten
Journal:  Am J Hum Genet       Date:  2003-02-14       Impact factor: 11.025

4.  Nonparametric disequilibrium mapping of functional sites using haplotypes of multiple tightly linked single-nucleotide polymorphism markers.

Authors:  Rong Cheng; Jennie Z Ma; Fred A Wright; Shili Lin; Xin Gao; Daolong Wang; Robert C Elston; Ming D Li
Journal:  Genetics       Date:  2003-07       Impact factor: 4.562

5.  Transmission/disequilibrium test based on haplotype sharing for tightly linked markers.

Authors:  Shuanglin Zhang; Qiuying Sha; Huann-Sheng Chen; Jianping Dong; Renfang Jiang
Journal:  Am J Hum Genet       Date:  2003-08-15       Impact factor: 11.025

6.  Robust transmission/disequilibrium test for incomplete family genotypes.

Authors:  Paola Sebastiani; Maria M Abad; Gülhan Alpargu; Marco F Ramoni
Journal:  Genetics       Date:  2004-12       Impact factor: 4.562

7.  Genetic association analysis using data from triads and unrelated subjects.

Authors:  Michael P Epstein; Colin D Veal; Richard C Trembath; Jonathan N W N Barker; Chun Li; Glen A Satten
Journal:  Am J Hum Genet       Date:  2005-02-14       Impact factor: 11.025

Review 8.  Factors affecting statistical power in the detection of genetic association.

Authors:  Derek Gordon; Stephen J Finch
Journal:  J Clin Invest       Date:  2005-06       Impact factor: 14.808

9.  A comparison of popular TDT-generalizations for family-based association analysis.

Authors:  Julian Hecker; Nan Laird; Christoph Lange
Journal:  Genet Epidemiol       Date:  2019-01-04       Impact factor: 2.135

Review 10.  Children's Oncology Group's 2013 blueprint for research: epidemiology.

Authors:  Logan G Spector; Julie A Ross; Andrew F Olshan
Journal:  Pediatr Blood Cancer       Date:  2012-12-19       Impact factor: 3.167

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