Literature DB >> 22307714

The analysis of ethnic mixtures.

Xiaofeng Zhu1.   

Abstract

Populations of ethnic mixtures can be useful in genetic studies. Admixture mapping, or mapping by admixture linkage disequilibrium (MALD), is specially developed for admixed populations and can supplement traditional genome-wide association analyses in the search for genetic variants underlying complex traits. Admixture mapping tests the association between a trait and locus-specific ancestries. The locus-specific ancestries are in linkage disequilibrium (LD) which is generated by the admixture process between genetically distinct ancestral populations. Because of highly correlated locus-specific ancestries, admixture mapping performs many fewer independent tests across the genome than current genome-wide association analysis. Therefore, admixture mapping can be more powerful because of the smaller penalty due to multiple tests. In this chapter, I introduce the theory behind admixture mapping and how we conduct the analysis in practice.

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Year:  2012        PMID: 22307714      PMCID: PMC3576839          DOI: 10.1007/978-1-61779-555-8_25

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  26 in total

1.  Inference of population structure using multilocus genotype data.

Authors:  J K Pritchard; M Stephens; P Donnelly
Journal:  Genetics       Date:  2000-06       Impact factor: 4.562

2.  Genomic control for association studies.

Authors:  B Devlin; K Roeder
Journal:  Biometrics       Date:  1999-12       Impact factor: 2.571

3.  Inference of population structure using multilocus genotype data: linked loci and correlated allele frequencies.

Authors:  Daniel Falush; Matthew Stephens; Jonathan K Pritchard
Journal:  Genetics       Date:  2003-08       Impact factor: 4.562

4.  Association mapping, using a mixture model for complex traits.

Authors:  Xiaofeng Zhu; ShuangLin Zhang; Hongyu Zhao; Richard S Cooper
Journal:  Genet Epidemiol       Date:  2002-08       Impact factor: 2.135

5.  Design and analysis of admixture mapping studies.

Authors:  C J Hoggart; M D Shriver; R A Kittles; D G Clayton; P M McKeigue
Journal:  Am J Hum Genet       Date:  2004-04-14       Impact factor: 11.025

6.  A high-density admixture map for disease gene discovery in african americans.

Authors:  Michael W Smith; Nick Patterson; James A Lautenberger; Ann L Truelove; Gavin J McDonald; Alicja Waliszewska; Bailey D Kessing; Michael J Malasky; Charles Scafe; Ernest Le; Philip L De Jager; Andre A Mignault; Zeng Yi; Guy De The; Myron Essex; Jean-Louis Sankale; Jason H Moore; Kwabena Poku; John P Phair; James J Goedert; David Vlahov; Scott M Williams; Sarah A Tishkoff; Cheryl A Winkler; Francisco M De La Vega; Trevor Woodage; John J Sninsky; David A Hafler; David Altshuler; Dennis A Gilbert; Stephen J O'Brien; David Reich
Journal:  Am J Hum Genet       Date:  2004-04-14       Impact factor: 11.025

7.  A simple correction for multiple testing for single-nucleotide polymorphisms in linkage disequilibrium with each other.

Authors:  Dale R Nyholt
Journal:  Am J Hum Genet       Date:  2004-03-02       Impact factor: 11.025

8.  Effect of genetic divergence in identifying ancestral origin using HAPAA.

Authors:  Andreas Sundquist; Eugene Fratkin; Chuong B Do; Serafim Batzoglou
Journal:  Genome Res       Date:  2008-03-18       Impact factor: 9.043

9.  Methods for high-density admixture mapping of disease genes.

Authors:  Nick Patterson; Neil Hattangadi; Barton Lane; Kirk E Lohmueller; David A Hafler; Jorge R Oksenberg; Stephen L Hauser; Michael W Smith; Stephen J O'Brien; David Altshuler; Mark J Daly; David Reich
Journal:  Am J Hum Genet       Date:  2004-04-14       Impact factor: 11.025

10.  Sensitive detection of chromosomal segments of distinct ancestry in admixed populations.

Authors:  Alkes L Price; Arti Tandon; Nick Patterson; Kathleen C Barnes; Nicholas Rafaels; Ingo Ruczinski; Terri H Beaty; Rasika Mathias; David Reich; Simon Myers
Journal:  PLoS Genet       Date:  2009-06-19       Impact factor: 5.917

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  3 in total

1.  AdmixPower: Statistical Power and Sample Size Estimation for Mapping Genetic Loci in Admixed Populations.

Authors:  Yadu Gautam; Mekibib Altaye; Changchun Xie; Tesfaye B Mersha
Journal:  Genetics       Date:  2017-09-26       Impact factor: 4.562

Review 2.  Mapping asthma-associated variants in admixed populations.

Authors:  Tesfaye B Mersha
Journal:  Front Genet       Date:  2015-09-29       Impact factor: 4.599

3.  Genomic Analyses of Human European Diversity at the Southwestern Edge: Isolation, African Influence and Disease Associations in the Canary Islands.

Authors:  Beatriz Guillen-Guio; Jose M Lorenzo-Salazar; Rafaela González-Montelongo; Ana Díaz-de Usera; Itahisa Marcelino-Rodríguez; Almudena Corrales; Antonio Cabrera de León; Santos Alonso; Carlos Flores
Journal:  Mol Biol Evol       Date:  2018-12-01       Impact factor: 16.240

  3 in total

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