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A genomic perspective on HLA evolution.

Diogo Meyer1, Vitor R C Aguiar2, Bárbara D Bitarello2,3

  • 1Department of Genetics and Evolutionary Biology, University of São Paulo, 05508-090, São Paulo, SP, Brazil. diogo@ib.usp.br.

Immunogenetics
|July 9, 2017
PubMed
Summary
This summary is machine-generated.

Genomic data reveal natural selection acting on human leukocyte antigen (HLA) genes across different timescales. Advanced methods are crucial for analyzing highly variable HLA data and understanding immune system evolution.

Keywords:
Balancing selectionEvolutionGenomicsHLA (human leukocyte antigen)MHC (major histocompatibility complex)

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Area of Science:

  • Evolutionary biology
  • Immunogenetics
  • Population genetics

Background:

  • Human leukocyte antigen (HLA) loci show evidence of natural selection.
  • Key questions remain about the type, timing, and functional basis of selection on HLA genes.

Purpose of the Study:

  • To review how population-scale genomic data, particularly from next-generation sequencing (NGS), are advancing the understanding of HLA evolution.
  • To discuss the application of genomewide data for detecting selection and exploring adaptive changes.

Main Methods:

  • Utilizing genomewide datasets from NGS for robust selection tests.
  • Applying methods to identify positive and balancing selection on HLA genes.
  • Leveraging genomewide association studies (GWAS) findings.

Main Results:

  • Genomic data enable the identification of natural selection on HLA genes at both recent and ancient timescales.
  • Genomewide approaches can detect adaptive changes involving multiple loci.
  • High-throughput analysis of HLA gene transcription levels is becoming feasible.

Conclusions:

  • Genomic datasets are transforming the study of HLA evolution by providing powerful tools to detect selection.
  • Methodological advancements are needed to effectively analyze highly polymorphic HLA data.
  • Integrating molecular phenotypes offers new dimensions for studying HLA genetic variation and adaptation.