Literature DB >> 19645595

Inferring ancestries efficiently in admixed populations with linkage disequilibrium.

Sivan Bercovici1, Dan Geiger.   

Abstract

Much effort has recently been invested in developing methods for determining the ancestral origin of chromosomal segments in admixed individuals. Motivations for this task are the study of population history such as bottleneck effects and migration, the assessment of population stratification for adequate adjustment of association studies, and the enhancement of mapping by admixture linkage disequilibrium (MALD). In this article, we present a novel framework for the inference of ancestry at each chromosomal location. The uniqueness of our method stems from the ability to incorporate complex probability models that account for linkage-disequilibrium in the ancestral populations. We provide an inference algorithm that is polynomial in the number of markers even though the underlying problem seems to be inherently exponential in nature. We demonstrate the validity of our model and conclude that, with sufficient ancestral haplotypes, this framework can provide higher accuracy in inferring ancestral origin.

Mesh:

Year:  2009        PMID: 19645595     DOI: 10.1089/cmb.2009.0105

Source DB:  PubMed          Journal:  J Comput Biol        ISSN: 1066-5277            Impact factor:   1.479


  5 in total

1.  Population genetics models of local ancestry.

Authors:  Simon Gravel
Journal:  Genetics       Date:  2012-04-04       Impact factor: 4.562

2.  Population genetic inference from personal genome data: impact of ancestry and admixture on human genomic variation.

Authors:  Jeffrey M Kidd; Simon Gravel; Jake Byrnes; Andres Moreno-Estrada; Shaila Musharoff; Katarzyna Bryc; Jeremiah D Degenhardt; Abra Brisbin; Vrunda Sheth; Rong Chen; Stephen F McLaughlin; Heather E Peckham; Larsson Omberg; Christina A Bormann Chung; Sarah Stanley; Kevin Pearlstein; Elizabeth Levandowsky; Suehelay Acevedo-Acevedo; Adam Auton; Alon Keinan; Victor Acuña-Alonzo; Rodrigo Barquera-Lozano; Samuel Canizales-Quinteros; Celeste Eng; Esteban G Burchard; Archie Russell; Andy Reynolds; Andrew G Clark; Martin G Reese; Stephen E Lincoln; Atul J Butte; Francisco M De La Vega; Carlos D Bustamante
Journal:  Am J Hum Genet       Date:  2012-10-05       Impact factor: 11.025

3.  Ancestry inference in complex admixtures via variable-length Markov chain linkage models.

Authors:  Jesse M Rodriguez; Sivan Bercovici; Megan Elmore; Serafim Batzoglou
Journal:  J Comput Biol       Date:  2013-02-19       Impact factor: 1.479

4.  Estimating genome-wide IBD sharing from SNP data via an efficient hidden Markov model of LD with application to gene mapping.

Authors:  Sivan Bercovici; Christopher Meek; Ydo Wexler; Dan Geiger
Journal:  Bioinformatics       Date:  2010-06-15       Impact factor: 6.937

5.  A general mechanistic model for admixture histories of hybrid populations.

Authors:  Paul Verdu; Noah A Rosenberg
Journal:  Genetics       Date:  2011-10-03       Impact factor: 4.562

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.