Literature DB >> 24861861

A new HLA map of Europe: Regional genetic variation and its implication for peopling history, disease-association studies and tissue transplantation.

Alicia Sanchez-Mazas1, Stéphane Buhler, José Manuel Nunes.   

Abstract

OBJECTIVES: HLA genes are highly polymorphic in human populations as a result of diversifying selection related to their immune function. However, HLA geographic variation worldwide suggests that demographic factors also shaped their evolution. We here analyzed in detail HLA genetic variation in Europe in order to identify signatures of migration history and/or natural selection.
METHODS: Relationships between HLA diversity and geography were analyzed at 7 loci through several approaches including linear regression on gene diversity and haplotype frequencies. Regional variation was also assessed on HLA multi-locus phenotypes through structure analysis. Deviation from neutrality was tested by resampling.
RESULTS: Geographic distance was a strong predictor of HLA variation at 5 loci (A, B, C, DRB1 and DPB1) in Europe, and latitude significantly shaped HLA gene diversity and haplotype frequencies. Whereas the main level of genetic diversity was found within populations, both HLA gene frequencies and phenotypic profiles revealed regional variation, Southeast Europe, Great Britain and Finland being the most distinctive. Effects of natural selection were suggested at the DQ loci.
CONCLUSIONS: HLA regional variation was observed in Europe and can be related to population history, locus HLA-A providing by far the strongest signals. This new HLA map of Europe represents an invaluable reference for disease-association studies and tissue transplantation.

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Year:  2014        PMID: 24861861     DOI: 10.1159/000360855

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


  18 in total

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Review 2.  The relevance of HLA sequencing in population genetics studies.

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3.  HLA class I molecular variation and peptide-binding properties suggest a model of joint divergent asymmetric selection.

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8.  Computer simulation of human leukocyte antigen genes supports two main routes of colonization by human populations in East Asia.

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9.  Forward-in-Time, Spatially Explicit Modeling Software to Simulate Genetic Lineages Under Selection.

Authors:  Mathias Currat; Pascale Gerbault; Da Di; José M Nunes; Alicia Sanchez-Mazas
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10.  HLA-EMMA: A user-friendly tool to analyse HLA class I and class II compatibility on the amino acid level.

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