Literature DB >> 15982569

Introduction to statistical analysis of population data in immunogenetics.

Pierre-Antoine Gourraud1, Thomas Barnetche, Blanka Vidan-Jeras, Anne Cambon-Thomsen.   

Abstract

We review the most classical questions addressed by the analysis of population data in immunogenetics. Basic genetics' definitions are reminded. Questions related to the population data itself (structure, missing values nomenclature, sampling) are developed first, and secondly, the population genetics questions (relevance of genetic parameters (phenotype, genotype allele and haplotype frequencies; genetic distances; linkage disequilibrium measures), methods and practical computing) are illustrated by immunogenetics polymorphisms. This article gives the essential of population immunogenetics on examples and key references. We underline the importance of population dimension in statistical analysis: structure of linkage disequilibrium and genetic diversity between populations may affect the power of the study or the interpretation of correlations between markers, genes and diseases, making population genetics both theoretical and very practical.

Mesh:

Year:  2005        PMID: 15982569     DOI: 10.1016/j.trim.2005.03.016

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


  3 in total

1.  KIR haplotype content at the allele level in 77 Northern Irish families.

Authors:  D Middleton; A Meenagh; P A Gourraud
Journal:  Immunogenetics       Date:  2007-01-03       Impact factor: 2.846

2.  Methods for assessing gene content diversity of KIR with examples from a global set of populations.

Authors:  Richard M Single; Maureen P Martin; Diogo Meyer; Xiaojiang Gao; Mary Carrington
Journal:  Immunogenetics       Date:  2008-09-17       Impact factor: 2.846

3.  HLA Class I and Class II Alleles and Haplotypes Confirm the Berber Origin of the Present Day Tunisian Population.

Authors:  Abdelhafidh Hajjej; Wassim Y Almawi; Lasmar Hattab; Amel El-Gaaied; Slama Hmida
Journal:  PLoS One       Date:  2015-08-28       Impact factor: 3.240

  3 in total

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