Literature DB >> 14504236

A method for detecting recent selection in the human genome from allele age estimates.

Christopher Toomajian1, Richard S Ajioka, Lynn B Jorde, James P Kushner, Martin Kreitman.   

Abstract

Mutations that have recently increased in frequency by positive natural selection are an important component of naturally occurring variation that affects fitness. To identify such variants, we developed a method to test for recent selection by estimating the age of an allele from the extent of haplotype sharing at linked sites. Neutral coalescent simulations are then used to determine the likelihood of this age given the allele's observed frequency. We applied this method to a common disease allele, the hemochromatosis-associated HFE C282Y mutation. Our results allow us to reject neutral models incorporating plausible human demographic histories for HFE C282Y and one other young but common allele, indicating positive selection at HFE or a linked locus. This method will be useful for scanning the human genome for alleles under selection using the haplotype map now being constructed.

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Year:  2003        PMID: 14504236      PMCID: PMC1462736     

Source DB:  PubMed          Journal:  Genetics        ISSN: 0016-6731            Impact factor:   4.562


  42 in total

1.  Assessment of linkage disequilibrium by the decay of haplotype sharing, with application to fine-scale genetic mapping.

Authors:  M S McPeek; A Strahs
Journal:  Am J Hum Genet       Date:  1999-09       Impact factor: 11.025

2.  Unusual haplotype structure at the proximal breakpoint of In(2L)t in a natural population of Drosophila melanogaster.

Authors:  P Andolfatto; J D Wall; M Kreitman
Journal:  Genetics       Date:  1999-11       Impact factor: 4.562

3.  High-resolution HLA class I typing in the CEPH families: analysis of linkage disequilibrium among HLA loci.

Authors:  T L Bugawan; W Klitz; A Blair; H A Erlich
Journal:  Tissue Antigens       Date:  2000-11

4.  The use of intraallelic variability for testing neutrality and estimating population growth rate.

Authors:  M Slatkin; G Bertorelle
Journal:  Genetics       Date:  2001-06       Impact factor: 4.562

5.  Linkage disequilibrium in the human genome.

Authors:  D E Reich; M Cargill; S Bolk; J Ireland; P C Sabeti; D J Richter; T Lavery; R Kouyoumjian; S F Farhadian; R Ward; E S Lander
Journal:  Nature       Date:  2001-05-10       Impact factor: 49.962

Review 6.  Recombination within the human MHC.

Authors:  M Carrington
Journal:  Immunol Rev       Date:  1999-02       Impact factor: 12.988

7.  The hemochromatosis gene product complexes with the transferrin receptor and lowers its affinity for ligand binding.

Authors:  J N Feder; D M Penny; A Irrinki; V K Lee; J A Lebrón; N Watson; Z Tsuchihashi; E Sigal; P J Bjorkman; R C Schatzman
Journal:  Proc Natl Acad Sci U S A       Date:  1998-02-17       Impact factor: 11.205

8.  High-resolution multipoint linkage-disequilibrium mapping in the context of a human genome sequence.

Authors:  B Rannala; J P Reeve
Journal:  Am J Hum Genet       Date:  2001-06-15       Impact factor: 11.025

Review 9.  Linkage disequilibrium in humans: models and data.

Authors:  J K Pritchard; M Przeworski
Journal:  Am J Hum Genet       Date:  2001-06-14       Impact factor: 11.025

Review 10.  The genetic basis for the association of the 8.1 ancestral haplotype (A1, B8, DR3) with multiple immunopathological diseases.

Authors:  P Price; C Witt; R Allcock; D Sayer; M Garlepp; C C Kok; M French; S Mallal; F Christiansen
Journal:  Immunol Rev       Date:  1999-02       Impact factor: 12.988

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  25 in total

1.  Genetic signatures of strong recent positive selection at the lactase gene.

Authors:  Todd Bersaglieri; Pardis C Sabeti; Nick Patterson; Trisha Vanderploeg; Steve F Schaffner; Jared A Drake; Matthew Rhodes; David E Reich; Joel N Hirschhorn
Journal:  Am J Hum Genet       Date:  2004-04-26       Impact factor: 11.025

2.  A powerful score test to detect positive selection in genome-wide scans.

Authors:  Ming Zhong; Kenneth Lange; Jeanette C Papp; Ruzong Fan
Journal:  Eur J Hum Genet       Date:  2010-05-12       Impact factor: 4.246

3.  Deciphering the ancient and complex evolutionary history of human arylamine N-acetyltransferase genes.

Authors:  Etienne Patin; Luis B Barreiro; Pardis C Sabeti; Frédéric Austerlitz; Francesca Luca; Antti Sajantila; Doron M Behar; Ornella Semino; Anavaj Sakuntabhai; Nicole Guiso; Brigitte Gicquel; Ken McElreavey; Rosalind M Harding; Evelyne Heyer; Lluis Quintana-Murci
Journal:  Am J Hum Genet       Date:  2006-01-13       Impact factor: 11.025

4.  An investigation of the statistical power of neutrality tests based on comparative and population genetic data.

Authors:  Weiwei Zhai; Rasmus Nielsen; Montgomery Slatkin
Journal:  Mol Biol Evol       Date:  2008-10-14       Impact factor: 16.240

5.  Linkage disequilibrium under genetic hitchhiking in finite populations.

Authors:  P Pfaffelhuber; A Lehnert; W Stephan
Journal:  Genetics       Date:  2008-05       Impact factor: 4.562

6.  A Composite-Likelihood Method for Detecting Incomplete Selective Sweep from Population Genomic Data.

Authors:  Ha My T Vy; Yuseob Kim
Journal:  Genetics       Date:  2015-04-24       Impact factor: 4.562

Review 7.  Iron and diabetes risk.

Authors:  Judith A Simcox; Donald A McClain
Journal:  Cell Metab       Date:  2013-03-05       Impact factor: 27.287

Review 8.  Aging and liver disease.

Authors:  In Hee Kim; Tatiana Kisseleva; David A Brenner
Journal:  Curr Opin Gastroenterol       Date:  2015-05       Impact factor: 3.287

9.  Human adaptive evolution at Myostatin (GDF8), a regulator of muscle growth.

Authors:  Matthew A Saunders; Jeffrey M Good; Elizabeth C Lawrence; Robert E Ferrell; Wen-Hsiung Li; Michael W Nachman
Journal:  Am J Hum Genet       Date:  2006-10-10       Impact factor: 11.025

10.  Complex signatures of selection and gene conversion in the duplicated globin genes of house mice.

Authors:  Jay F Storz; Monica Baze; Jessica L Waite; Federico G Hoffmann; Juan C Opazo; Jack P Hayes
Journal:  Genetics       Date:  2007-07-29       Impact factor: 4.562

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