Literature DB >> 10932184

Adaptive evolution of the tumour suppressor BRCA1 in humans and chimpanzees. Australian Breast Cancer Family Study.

G A Huttley1, S Easteal, M C Southey, A Tesoriero, G G Giles, M R McCredie, J L Hopper, D J Venter.   

Abstract

Mutations in BRCA1 (ref. 1) confer an increased risk of female breast cancer. In a genome-wide scan of linkage disequilibrium (LD), a high level of LD was detected among microsatellite markers flanking BRCA1 (ref. 3), raising the prospect that positive natural selection may have acted on this gene. We have used the predictions of evolutionary genetic theory to investigate this further. Using phylogeny-based maximum likelihood analysis of the BRCA1 sequences from primates and other mammals, we found that the ratios of replacement to silent nucleotide substitutions on the human and chimpanzee lineages were not different from one another (P=0.8), were different from those of other primate lineages (P=0.004) and were greater than 1 (P=0.04). This is consistent with the historic occurrence of positive darwinian selection pressure on the BRCA1 protein in the human and chimpanzee lineages. Analysis of genetic variation in a sample of female Australians of Northern European origin showed evidence for Hardy-Weinberg (HW) disequilibrium at polymorphic sites in BRCA1, consistent with the possibility that natural selection is affecting genotype frequencies in modern Europeans. The clustering of between-species variation in the region of the gene encoding the RAD51-interaction domain of BRCA1 suggests the maintenance of genomic integrity as a possible target of selection.

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Year:  2000        PMID: 10932184     DOI: 10.1038/78092

Source DB:  PubMed          Journal:  Nat Genet        ISSN: 1061-4036            Impact factor:   38.330


  40 in total

1.  Interrogating a high-density SNP map for signatures of natural selection.

Authors:  Joshua M Akey; Ge Zhang; Kun Zhang; Li Jin; Mark D Shriver
Journal:  Genome Res       Date:  2002-12       Impact factor: 9.043

2.  Detecting selection in noncoding regions of nucleotide sequences.

Authors:  Wendy S W Wong; Rasmus Nielsen
Journal:  Genetics       Date:  2004-06       Impact factor: 4.562

3.  Rapid adaptive evolution of the tumor suppressor gene Pten in an insect lineage.

Authors:  E Baudry; M Desmadril; J H Werren
Journal:  J Mol Evol       Date:  2006-04-11       Impact factor: 2.395

4.  Rapid detection of positive selection in genes and genomes through variation clusters.

Authors:  Andreas Wagner
Journal:  Genetics       Date:  2007-07-01       Impact factor: 4.562

5.  Dynamic programming procedure for searching optimal models to estimate substitution rates based on the maximum-likelihood method.

Authors:  Chengjun Zhang; Jia Wang; Weibo Xie; Gang Zhou; Manyuan Long; Qifa Zhang
Journal:  Proc Natl Acad Sci U S A       Date:  2011-04-26       Impact factor: 11.205

6.  Less is more: an adaptive branch-site random effects model for efficient detection of episodic diversifying selection.

Authors:  Martin D Smith; Joel O Wertheim; Steven Weaver; Ben Murrell; Konrad Scheffler; Sergei L Kosakovsky Pond
Journal:  Mol Biol Evol       Date:  2015-02-19       Impact factor: 16.240

7.  Selection and the cell cycle: positive Darwinian selection in a well-known DNA damage response pathway.

Authors:  Mary J O'Connell
Journal:  J Mol Evol       Date:  2010-11-04       Impact factor: 2.395

8.  Understanding missense mutations in the BRCA1 gene: an evolutionary approach.

Authors:  Melissa A Fleming; John D Potter; Christina J Ramirez; Gary K Ostrander; Elaine A Ostrander
Journal:  Proc Natl Acad Sci U S A       Date:  2003-01-16       Impact factor: 11.205

9.  A microsatellite variability screen for positive selection associated with the "out of Africa" habitat expansion of Drosophila melanogaster.

Authors:  M O Kauer; D Dieringer; C Schlötterer
Journal:  Genetics       Date:  2003-11       Impact factor: 4.562

10.  Analyses of human-chimpanzee orthologous gene pairs to explore evolutionary hypotheses of aging.

Authors:  João Pedro de Magalhães; George M Church
Journal:  Mech Ageing Dev       Date:  2007-03-25       Impact factor: 5.432

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