Literature DB >> 15095390

Information on ancestry from genetic markers.

Carrie Lynn Pfaff1, Jill Barnholtz-Sloan, Jennifer K Wagner, Jeffrey C Long.   

Abstract

It is possible to estimate the proportionate contributions of ancestral populations to admixed individuals or populations using genetic markers, but different loci and alleles vary considerably in the amount of information that they provide. Conventionally, the allele frequency difference between parental populations (delta) has been used as the criterion to select informative markers. However, it is unclear how to use delta for multiallelic loci, or populations formed by the mixture of more than two groups. Moreover, several other factors, including the actual ancestral proportions and the relative genetic diversities of the parental populations, affect the information provided by genetic markers. We demonstrate here that using delta as the sole criterion for marker selection is inadequate, and we propose, instead, to use Fisher's information, which is the inverse of the variance of the estimated ancestral contributions. This measure is superior because it is directly related to the precision of ancestry estimates. Although delta is related to Fisher's information, the relationship is neither linear nor simple, and the information can vary widely for markers with identical deltas. Fortunately, Fisher's information is easily computed and formally extends to the situation of multiple alleles and/or parental populations. We examined the distribution of information for SNP and microsatellite loci available in the public domain for a variety of model admixed populations. The information, on average, is higher for microsatellite loci, but exceptional SNPs exceed the best microsatellites. Despite the large number of genetic markers that have been identified for admixture analysis, it appears that information for estimating admixture proportions is limited, and estimates will typically have wide confidence intervals. Copyright 2004 Wiley-Liss,Inc.

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Year:  2004        PMID: 15095390     DOI: 10.1002/gepi.10319

Source DB:  PubMed          Journal:  Genet Epidemiol        ISSN: 0741-0395            Impact factor:   2.135


  36 in total

Review 1.  Prospects for admixture mapping of complex traits.

Authors:  Paul M McKeigue
Journal:  Am J Hum Genet       Date:  2004-11-11       Impact factor: 11.025

2.  Population structure, admixture, and aging-related phenotypes in African American adults: the Cardiovascular Health Study.

Authors:  Alexander P Reiner; Elad Ziv; Denise L Lind; Caroline M Nievergelt; Nicholas J Schork; Steven R Cummings; Angie Phong; Esteban González Burchard; Tamara B Harris; Bruce M Psaty; Pui-Yan Kwok
Journal:  Am J Hum Genet       Date:  2005-01-19       Impact factor: 11.025

3.  A genomewide single-nucleotide-polymorphism panel with high ancestry information for African American admixture mapping.

Authors:  Chao Tian; David A Hinds; Russell Shigeta; Rick Kittles; Dennis G Ballinger; Michael F Seldin
Journal:  Am J Hum Genet       Date:  2006-08-15       Impact factor: 11.025

4.  Panel construction for mapping in admixed populations via expected mutual information.

Authors:  Sivan Bercovici; Dan Geiger; Liran Shlush; Karl Skorecki; Alan Templeton
Journal:  Genome Res       Date:  2008-03-18       Impact factor: 9.043

5.  Correcting for measurement error in individual ancestry estimates in structured association tests.

Authors:  Jasmin Divers; Laura K Vaughan; Miguel A Padilla; José R Fernandez; David B Allison; David T Redden
Journal:  Genetics       Date:  2007-05-16       Impact factor: 4.562

6.  A genomewide admixture mapping panel for Hispanic/Latino populations.

Authors:  Xianyun Mao; Abigail W Bigham; Rui Mei; Gerardo Gutierrez; Ken M Weiss; Tom D Brutsaert; Fabiola Leon-Velarde; Lorna G Moore; Enrique Vargas; Paul M McKeigue; Mark D Shriver; Esteban J Parra
Journal:  Am J Hum Genet       Date:  2007-04-20       Impact factor: 11.025

7.  Re-creation of the genetic composition of a founder population.

Authors:  William Klitz; Martin Maiers; Loren Gragert
Journal:  Hum Genet       Date:  2008-09-27       Impact factor: 4.132

8.  A genome-wide analysis of admixture in Uyghurs and a high-density admixture map for disease-gene discovery.

Authors:  Shuhua Xu; Li Jin
Journal:  Am J Hum Genet       Date:  2008-08-28       Impact factor: 11.025

9.  West African and Amerindian ancestry and risk of myocardial infarction and metabolic syndrome in the Central Valley population of Costa Rica.

Authors:  Edward A Ruiz-Narváez; Lance Bare; Andre Arellano; Joseph Catanese; Hannia Campos
Journal:  Hum Genet       Date:  2010-03-06       Impact factor: 4.132

10.  Genetic ancestry, social classification, and racial inequalities in blood pressure in Southeastern Puerto Rico.

Authors:  Clarence C Gravlee; Amy L Non; Connie J Mulligan
Journal:  PLoS One       Date:  2009-09-09       Impact factor: 3.240

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