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Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry
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Haplotype allelic classes for detecting ongoing positive selection.

Julie Hussin1, Philippe Nadeau, Jean-François Lefebvre

  • 1Bioinformatics Program, Department of Biochemistry, Université de Montréal, Montréal, Québec, Canada.

BMC Bioinformatics
|January 30, 2010
PubMed
Summary
This summary is machine-generated.

We developed a new method using haplotype allelic classes to detect recent positive selection in genomic data. This approach, summarized by the Svd statistic, is robust to demographic factors and successfully identifies targets of natural selection, like the lactase persistence locus.

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Area of Science:

  • Population Genetics
  • Genomics
  • Evolutionary Biology

Background:

  • Natural selection shapes genomes by favoring advantageous traits and eliminating detrimental ones.
  • Genomic signatures of selection appear as deviations in allele or haplotype frequency spectra.
  • Identifying recent positive selection requires robust methods to distinguish its signal from background variation.

Purpose of the Study:

  • To introduce a novel method for detecting recent positive selection using genomic polymorphisms.
  • To develop a summary statistic, Svd, for identifying signatures of selection.
  • To evaluate the performance of the haplotype allelic class approach in detecting positive selection.

Main Methods:

  • Combined segregating sites and haplotypic information to analyze genomic data.
  • Developed the Svd statistic to compare haplotype distributions under selection.
  • Utilized coalescence simulations to model neutral, demographic, and selection scenarios.
  • Applied the method to analyze lactase persistence locus variation in HapMap Phase II populations.

Main Results:

  • The Svd statistic effectively captures deviations from neutrality indicative of positive selection.
  • The haplotype allelic class method successfully identified the lactase persistence locus as a target of selection.
  • The Svd statistic demonstrated reduced sensitivity to confounding factors like demography and recombination compared to other tests.

Conclusions:

  • The Svd statistic and haplotype allelic class approach offer a complementary tool for studying natural selection.
  • This method reliably identifies candidate loci under strong positive selection.
  • The findings provide new insights into the evolutionary processes shaping genomic variation, exemplified by lactase persistence.