Literature DB >> 15982570

Strategies in analysis of the genetic component of multifactorial diseases; biostatistical aspects.

Thomas Barnetche1, Pierre-Antoine Gourraud, Anne Cambon-Thomsen.   

Abstract

Complex polygenic and multifactorial diseases remain a challenge for human geneticists. Here we aim to remind basic definitions of multifactorial diseases and the genetic related concepts underlying classical methods. Knowledge on pathophysiological process and the genetic information available conditions the design of study. The choice of methodology, between candidate gene approach and genome scan approach, between linkage and association studies, is the most important step. Both methods, linkage analysis and association studies are usually considered as complementary approaches for a given disease. For this reason, in this article, we present the most important classical methodologies in genetic epidemiology of complex disorders. References and examples are given to illustrate.

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Year:  2005        PMID: 15982570     DOI: 10.1016/j.trim.2005.03.015

Source DB:  PubMed          Journal:  Transpl Immunol        ISSN: 0966-3274            Impact factor:   1.708


  2 in total

1.  Analytical methods for immunogenetic population data.

Authors:  Steven J Mack; Pierre-Antoine Gourraud; Richard M Single; Glenys Thomson; Jill A Hollenbach
Journal:  Methods Mol Biol       Date:  2012

Review 2.  Large animal models of rare genetic disorders: sheep as phenotypically relevant models of human genetic disease.

Authors:  Ashish R Pinnapureddy; Cherie Stayner; John McEwan; Olivia Baddeley; John Forman; Michael R Eccles
Journal:  Orphanet J Rare Dis       Date:  2015-09-02       Impact factor: 4.123

  2 in total

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