Literature DB >> 19521100

Using allele sharing distance for detecting human population stratification.

Xiaoyi Gao1, Eden R Martin.   

Abstract

There is a long history of using allele sharing distance (ASD) and closely related metrics for population stratification analysis. However, the theory for this practical usage has not been reported. In this paper, we describe the theoretical background for using ASD on single nucleotide polymorphism (SNP) genetic data for human population stratification analysis. In showing the proof, we lay the ground work for a general distance-based method for classifying subpopulations using SNPs and ASD. We also show its relation to other closely related distance metrics using HapMap Phase I SNP data. Copyright 2009 S. Karger AG, Basel.

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Year:  2009        PMID: 19521100      PMCID: PMC2869072          DOI: 10.1159/000224638

Source DB:  PubMed          Journal:  Hum Hered        ISSN: 0001-5652            Impact factor:   0.444


  25 in total

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Review 2.  Estimating F-statistics.

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Journal:  Annu Rev Genet       Date:  2002-06-11       Impact factor: 16.830

3.  A haplotype map of the human genome.

Authors: 
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4.  Whole-genome patterns of common DNA variation in three human populations.

Authors:  David A Hinds; Laura L Stuve; Geoffrey B Nilsen; Eran Halperin; Eleazar Eskin; Dennis G Ballinger; Kelly A Frazer; David R Cox
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5.  Principal components analysis corrects for stratification in genome-wide association studies.

Authors:  Alkes L Price; Nick J Patterson; Robert M Plenge; Michael E Weinblatt; Nancy A Shadick; David Reich
Journal:  Nat Genet       Date:  2006-07-23       Impact factor: 38.330

6.  Human genetic diversity: Lewontin's fallacy.

Authors:  A W F Edwards
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7.  High resolution of human evolutionary trees with polymorphic microsatellites.

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8.  Large-scale SNP analysis reveals clustered and continuous patterns of human genetic variation.

Authors:  Mark D Shriver; Rui Mei; Esteban J Parra; Vibhor Sonpar; Indrani Halder; Sarah A Tishkoff; Theodore G Schurr; Sergev I Zhadanov; Ludmila P Osipova; Tom D Brutsaert; Jonathan Friedlaender; Lynn B Jorde; W Scott Watkins; Michael J Bamshad; Gerardo Gutierrez; Halina Loi; Hajime Matsuzaki; Rick A Kittles; George Argyropoulos; Jose R Fernandez; Joshua M Akey; Keith W Jones
Journal:  Hum Genomics       Date:  2005-06       Impact factor: 4.639

9.  Population structure and eigenanalysis.

Authors:  Nick Patterson; Alkes L Price; David Reich
Journal:  PLoS Genet       Date:  2006-12       Impact factor: 5.917

10.  AWclust: point-and-click software for non-parametric population structure analysis.

Authors:  Xiaoyi Gao; Joshua D Starmer
Journal:  BMC Bioinformatics       Date:  2008-01-31       Impact factor: 3.169

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  16 in total

1.  The genome-wide structure of the Jewish people.

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Journal:  Nature       Date:  2010-06-09       Impact factor: 49.962

2.  Investigating population stratification and admixture using eigenanalysis of dense genotypes.

Authors:  D Shriner
Journal:  Heredity (Edinb)       Date:  2011-03-30       Impact factor: 3.821

Review 3.  Population Stratification in Genetic Association Studies.

Authors:  Jacklyn N Hellwege; Jacob M Keaton; Ayush Giri; Xiaoyi Gao; Digna R Velez Edwards; Todd L Edwards
Journal:  Curr Protoc Hum Genet       Date:  2017-10-18

4.  A highly efficient multi-core algorithm for clustering extremely large datasets.

Authors:  Johann M Kraus; Hans A Kestler
Journal:  BMC Bioinformatics       Date:  2010-04-06       Impact factor: 3.169

Review 5.  Nonparametric approaches for population structure analysis.

Authors:  Luluah Alhusain; Alaaeldin M Hafez
Journal:  Hum Genomics       Date:  2018-05-09       Impact factor: 4.639

6.  Inference of relationships in population data using identity-by-descent and identity-by-state.

Authors:  Eric L Stevens; Greg Heckenberg; Elisha D O Roberson; Joseph D Baugher; Thomas J Downey; Jonathan Pevsner
Journal:  PLoS Genet       Date:  2011-09-22       Impact factor: 5.917

7.  Genetic flux between h1 and h2 haplotypes of the 17q21.31 inversion in European population.

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8.  NetView: a high-definition network-visualization approach to detect fine-scale population structures from genome-wide patterns of variation.

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9.  Human population structure detection via multilocus genotype clustering.

Authors:  Xiaoyi Gao; Joshua Starmer
Journal:  BMC Genet       Date:  2007-06-25       Impact factor: 2.797

10.  On the Apportionment of Population Structure.

Authors:  Yaron Granot; Omri Tal; Saharon Rosset; Karl Skorecki
Journal:  PLoS One       Date:  2016-08-09       Impact factor: 3.240

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