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SNP@Evolution: a hierarchical database of positive selection on the human genome

BACKGROUND: Positive selection is a driving force that has shaped the modern human. Recent developments in high throughput technologies and corresponding statistics tools have made it possible to conduct whole genome surveys at a population scale, and a variety of measurements, such as heterozygosit...

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Autores principales: Cheng, Feng, Chen, Wei, Richards, Elliott, Deng, Libin, Zeng, Changqing
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2009
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2755008/
https://www.ncbi.nlm.nih.gov/pubmed/19732458
http://dx.doi.org/10.1186/1471-2148-9-221
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author Cheng, Feng
Chen, Wei
Richards, Elliott
Deng, Libin
Zeng, Changqing
author_facet Cheng, Feng
Chen, Wei
Richards, Elliott
Deng, Libin
Zeng, Changqing
author_sort Cheng, Feng
collection PubMed
description BACKGROUND: Positive selection is a driving force that has shaped the modern human. Recent developments in high throughput technologies and corresponding statistics tools have made it possible to conduct whole genome surveys at a population scale, and a variety of measurements, such as heterozygosity (HET), F(ST), and Tajima's D, have been applied to multiple datasets to identify signals of positive selection. However, great effort has been required to combine various types of data from individual sources, and incompatibility among datasets has been a common problem. SNP@Evolution, a new database which integrates multiple datasets, will greatly assist future work in this area. DESCRIPTION: As part of our research scanning for evolutionary signals in HapMap Phase II and Phase III datasets, we built SNP@Evolution as a multi-aspect database focused on positive selection. Among its many features, SNP@Evolution provides computed F(ST )and HET of all HapMap SNPs, 5+ HapMap SNPs per qualified gene, and all autosome regions detected from whole genome window scanning. In an attempt to capture multiple selection signals across the genome, selection-signal enrichment strength (E(S)) values of HET, F(ST), and P-values of iHS of most annotated genes have been calculated and integrated within one frame for users to search for outliers. Genes with significant E(S )or P-values (with thresholds of 0.95 and 0.05, respectively) have been highlighted in color. Low diversity chromosome regions have been detected by sliding a 100 kb window in a 10 kb step. To allow this information to be easily disseminated, a graphical user interface (GBrowser) was constructed with the Generic Model Organism Database toolkit. CONCLUSION: Available at , SNP@Evolution is a hierarchical database focused on positive selection of the human genome. Based on HapMap Phase II and III data, SNP@Evolution includes 3,619,226/1,389,498 SNPs with their computed HET and F(ST), as well as qualified genes of 21,859/21,099 with E(S )values of HET and F(ST). In at least one HapMap population group, window scanning for selection signals has resulted in 1,606/10,138 large low HET regions. Among Phase II and III geographical groups, 660 and 464 regions show strong differentiation.
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spelling pubmed-27550082009-10-01 SNP@Evolution: a hierarchical database of positive selection on the human genome Cheng, Feng Chen, Wei Richards, Elliott Deng, Libin Zeng, Changqing BMC Evol Biol Database BACKGROUND: Positive selection is a driving force that has shaped the modern human. Recent developments in high throughput technologies and corresponding statistics tools have made it possible to conduct whole genome surveys at a population scale, and a variety of measurements, such as heterozygosity (HET), F(ST), and Tajima's D, have been applied to multiple datasets to identify signals of positive selection. However, great effort has been required to combine various types of data from individual sources, and incompatibility among datasets has been a common problem. SNP@Evolution, a new database which integrates multiple datasets, will greatly assist future work in this area. DESCRIPTION: As part of our research scanning for evolutionary signals in HapMap Phase II and Phase III datasets, we built SNP@Evolution as a multi-aspect database focused on positive selection. Among its many features, SNP@Evolution provides computed F(ST )and HET of all HapMap SNPs, 5+ HapMap SNPs per qualified gene, and all autosome regions detected from whole genome window scanning. In an attempt to capture multiple selection signals across the genome, selection-signal enrichment strength (E(S)) values of HET, F(ST), and P-values of iHS of most annotated genes have been calculated and integrated within one frame for users to search for outliers. Genes with significant E(S )or P-values (with thresholds of 0.95 and 0.05, respectively) have been highlighted in color. Low diversity chromosome regions have been detected by sliding a 100 kb window in a 10 kb step. To allow this information to be easily disseminated, a graphical user interface (GBrowser) was constructed with the Generic Model Organism Database toolkit. CONCLUSION: Available at , SNP@Evolution is a hierarchical database focused on positive selection of the human genome. Based on HapMap Phase II and III data, SNP@Evolution includes 3,619,226/1,389,498 SNPs with their computed HET and F(ST), as well as qualified genes of 21,859/21,099 with E(S )values of HET and F(ST). In at least one HapMap population group, window scanning for selection signals has resulted in 1,606/10,138 large low HET regions. Among Phase II and III geographical groups, 660 and 464 regions show strong differentiation. BioMed Central 2009-09-05 /pmc/articles/PMC2755008/ /pubmed/19732458 http://dx.doi.org/10.1186/1471-2148-9-221 Text en Copyright © 2009 Cheng et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Database
Cheng, Feng
Chen, Wei
Richards, Elliott
Deng, Libin
Zeng, Changqing
SNP@Evolution: a hierarchical database of positive selection on the human genome
title SNP@Evolution: a hierarchical database of positive selection on the human genome
title_full SNP@Evolution: a hierarchical database of positive selection on the human genome
title_fullStr SNP@Evolution: a hierarchical database of positive selection on the human genome
title_full_unstemmed SNP@Evolution: a hierarchical database of positive selection on the human genome
title_short SNP@Evolution: a hierarchical database of positive selection on the human genome
title_sort snp@evolution: a hierarchical database of positive selection on the human genome
topic Database
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2755008/
https://www.ncbi.nlm.nih.gov/pubmed/19732458
http://dx.doi.org/10.1186/1471-2148-9-221
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