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Identity by descent between distant relatives: detection and applications.

Sharon R Browning1, Brian L Browning

  • 1Department of Statistics, University of Washington, Seattle, Washington 98195, USA. sguy@uw.edu

Annual Review of Genetics
|September 22, 2012
PubMed
Summary
This summary is machine-generated.

Detecting short identity by descent (IBD) segments using genome-wide data and statistical methods has emerging applications. This review covers IBD detection principles, methods, comparisons, and applications in genetics.

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Area of Science:

  • Genetics
  • Statistical Genetics
  • Bioinformatics

Background:

  • Identity by descent (IBD) segments can be detected between unrelated individuals.
  • Genome-wide single nucleotide polymorphism (SNP) data and advanced statistical methods enable IBD detection.
  • IBD detection has applications in various genetic analyses.

Purpose of the Study:

  • To review the principles and methods for detecting identity by descent (IBD) segments.
  • To describe recently developed statistical methodologies for IBD detection.
  • To provide an overview of the emerging applications of IBD segments.

Main Methods:

  • Review of statistical principles for IBD segment detection.
  • Description of recently developed computational methods.
  • Discussion of approaches for comparing different IBD detection methods.

Main Results:

  • IBD segments can be reliably detected between individuals without known relationships.
  • Several statistical and computational methods exist for IBD detection.
  • IBD detection has diverse applications including mapping, imputation, and population structure inference.

Conclusions:

  • IBD segment detection is a valuable tool in genetic research.
  • The methodology for IBD detection is continually advancing.
  • IBD analysis offers insights into relatedness, genetic history, and population structure.