Literature DB >> 12359738

Estimating F-statistics.

B S Weir1, W G Hill.   

Abstract

A moment estimator of, the coancestry coefficient for alleles within a population, was described by Weir & Cockerham in 1984 (100) and is still widely cited. The estimate is used by population geneticists to characterize population structure, by ecologists to estimate migration rates, by animal breeders to describe genetic variation, and by forensic scientists to quantify the strength of matching DNA profiles. This review extends the work of Weir & Cockerham by allowing different levels of coancestry for different populations, and by allowing non-zero coancestries between pairs of populations. All estimates are relative to the average value of theta between pairs of populations. Moment estimates for within- and between-population theta values are likely to have large sampling variances, although these may be reduced by combining information over loci. Variances also decrease with the numbers of alleles at a locus, and with the numbers of populations sampled. This review also extends the work of Weir & Cockerham by employing maximum likelihood methods under the assumption that allele frequencies follow the normal distribution over populations. For the case of equal theta values within populations and zero theta values between populations, the maximum likelihood estimate is the same as that given by Robertson & Hill in 1984 (70). The review concludes by relating functions of theta values to times of population divergence under a pure drift model.

Mesh:

Year:  2002        PMID: 12359738     DOI: 10.1146/annurev.genet.36.050802.093940

Source DB:  PubMed          Journal:  Annu Rev Genet        ISSN: 0066-4197            Impact factor:   16.830


  194 in total

1.  Genetic dating indicates that the Asian-Papuan admixture through Eastern Indonesia corresponds to the Austronesian expansion.

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Journal:  Proc Natl Acad Sci U S A       Date:  2012-03-06       Impact factor: 11.205

Review 2.  Recent advances in understanding the role of nutrition in human genome evolution.

Authors:  Kaixiong Ye; Zhenglong Gu
Journal:  Adv Nutr       Date:  2011-11-03       Impact factor: 8.701

3.  Detecting selection in population trees: the Lewontin and Krakauer test extended.

Authors:  Maxime Bonhomme; Claude Chevalet; Bertrand Servin; Simon Boitard; Jihad Abdallah; Sarah Blott; Magali Sancristobal
Journal:  Genetics       Date:  2010-09       Impact factor: 4.562

4.  Population structure with localized haplotype clusters.

Authors:  Sharon R Browning; Bruce S Weir
Journal:  Genetics       Date:  2010-05-10       Impact factor: 4.562

5.  Likelihood-free inference of population structure and local adaptation in a Bayesian hierarchical model.

Authors:  Eric Bazin; Kevin J Dawson; Mark A Beaumont
Journal:  Genetics       Date:  2010-04-09       Impact factor: 4.562

6.  Using environmental correlations to identify loci underlying local adaptation.

Authors:  Graham Coop; David Witonsky; Anna Di Rienzo; Jonathan K Pritchard
Journal:  Genetics       Date:  2010-06-01       Impact factor: 4.562

7.  Model-free Estimation of Recent Genetic Relatedness.

Authors:  Matthew P Conomos; Alexander P Reiner; Bruce S Weir; Timothy A Thornton
Journal:  Am J Hum Genet       Date:  2016-01-07       Impact factor: 11.025

8.  Population genetic analysis of the GlobalFiler STR loci in 748 individuals from the Kazakh population of Xinjiang in northwest China.

Authors:  Honghua Zhang; Shuping Yang; Wei Guo; Bo Ren; Liwen Pu; Teng Ma; Mingying Xia; Li Jin; Liming Li; Shilin Li
Journal:  Int J Legal Med       Date:  2016-02-04       Impact factor: 2.686

Review 9.  Characterizing allelic association in the genome era.

Authors:  B S Weir; C C Laurie
Journal:  Genet Res (Camb)       Date:  2010-12       Impact factor: 1.588

10.  Natural selection at genomic regions associated with obesity and type-2 diabetes: East Asians and sub-Saharan Africans exhibit high levels of differentiation at type-2 diabetes regions.

Authors:  Yann C Klimentidis; Marshall Abrams; Jelai Wang; Jose R Fernandez; David B Allison
Journal:  Hum Genet       Date:  2010-12-28       Impact factor: 4.132

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