Literature DB >> 10878472

Gene-environment interactions and the affected-sib-pair designs.

S W Guo1.   

Abstract

In genetic mapping of complex traits, the affected-sib-pair method (ASP) and the transmission disequilibrium test (TDT) are two methods of choice. The major appeal of both ASP and TDT is that they do not require the knowledge of mode of inheritance underlying the trait in question. The relative ease and economy for data collection also is the reason for their popularity. The basic idea of the ASP is to identify genes or chromosomal regions through identifying genetic similarity based on phenotypical similarity. TDT, on the other hand, detects susceptibility genes through detecting unusual transmission patterns in families. Since phenotypic similarity can also be caused by environmental similarity, we investigate how the presence of gene-environment interaction (GEI) affects the power of both methods. For a simple one-locus-one-risk-factor model, our results indicate that, in the presence of GEI, methods developed based on marginal penetrance functions (i.e. ignoring the risk factor) can give spurious results. The triangular restriction on allele-sharing probability may no longer be valid. If the environment effect is strong, using exposure-discordant affected sib pairs may have advantage over other designs. Above all, a genetic model involving both genetic and environmental factors behaves differently from a single-locus genetic model. Copyright 2000 S. Karger AG, Basel

Mesh:

Year:  2000        PMID: 10878472     DOI: 10.1159/000022930

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


  3 in total

1.  Testing genetic linkage with relative pairs and covariates by quasi-likelihood score statistics.

Authors:  Daniel J Schaid; Jason P Sinnwell; Stephen N Thibodeau
Journal:  Hum Hered       Date:  2007-06-12       Impact factor: 0.444

2.  Searching for epistasis and linkage heterogeneity by correlations of pedigree-specific linkage scores.

Authors:  Daniel J Schaid; Shannon K McDonnell; Erin E Carlson; Stephen N Thibodeau; Janet L Stanford; Elaine A Ostrander
Journal:  Genet Epidemiol       Date:  2008-07       Impact factor: 2.135

3.  Parent-child pair design for detecting gene-environment interactions in complex diseases.

Authors:  Yuan-De Tan; Myriam Fornage; Varghese George; Hongyan Xu
Journal:  Hum Genet       Date:  2007-05-10       Impact factor: 5.881

  3 in total

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