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PGG.Population: a database for understanding the genomic diversity and genetic ancestry of human populations

There are a growing number of studies focusing on delineating genetic variations that are associated with complex human traits and diseases due to recent advances in next-generation sequencing technologies. However, identifying and prioritizing disease-associated causal variants relies on understand...

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Autores principales: Zhang, Chao, Gao, Yang, Liu, Jiaojiao, Xue, Zhe, Lu, Yan, Deng, Lian, Tian, Lei, Feng, Qidi, Xu, Shuhua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5753384/
https://www.ncbi.nlm.nih.gov/pubmed/29112749
http://dx.doi.org/10.1093/nar/gkx1032
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author Zhang, Chao
Gao, Yang
Liu, Jiaojiao
Xue, Zhe
Lu, Yan
Deng, Lian
Tian, Lei
Feng, Qidi
Xu, Shuhua
author_facet Zhang, Chao
Gao, Yang
Liu, Jiaojiao
Xue, Zhe
Lu, Yan
Deng, Lian
Tian, Lei
Feng, Qidi
Xu, Shuhua
author_sort Zhang, Chao
collection PubMed
description There are a growing number of studies focusing on delineating genetic variations that are associated with complex human traits and diseases due to recent advances in next-generation sequencing technologies. However, identifying and prioritizing disease-associated causal variants relies on understanding the distribution of genetic variations within and among populations. The PGG.Population database documents 7122 genomes representing 356 global populations from 107 countries and provides essential information for researchers to understand human genomic diversity and genetic ancestry. These data and information can facilitate the design of research studies and the interpretation of results of both evolutionary and medical studies involving human populations. The database is carefully maintained and constantly updated when new data are available. We included miscellaneous functions and a user-friendly graphical interface for visualization of genomic diversity, population relationships (genetic affinity), ancestral makeup, footprints of natural selection, and population history etc. Moreover, PGG.Population provides a useful feature for users to analyze data and visualize results in a dynamic style via online illustration. The long-term ambition of the PGG.Population, together with the joint efforts from other researchers who contribute their data to our database, is to create a comprehensive depository of geographic and ethnic variation of human genome, as well as a platform bringing influence on future practitioners of medicine and clinical investigators. PGG.Population is available at https://www.pggpopulation.org.
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spelling pubmed-57533842018-01-05 PGG.Population: a database for understanding the genomic diversity and genetic ancestry of human populations Zhang, Chao Gao, Yang Liu, Jiaojiao Xue, Zhe Lu, Yan Deng, Lian Tian, Lei Feng, Qidi Xu, Shuhua Nucleic Acids Res Database Issue There are a growing number of studies focusing on delineating genetic variations that are associated with complex human traits and diseases due to recent advances in next-generation sequencing technologies. However, identifying and prioritizing disease-associated causal variants relies on understanding the distribution of genetic variations within and among populations. The PGG.Population database documents 7122 genomes representing 356 global populations from 107 countries and provides essential information for researchers to understand human genomic diversity and genetic ancestry. These data and information can facilitate the design of research studies and the interpretation of results of both evolutionary and medical studies involving human populations. The database is carefully maintained and constantly updated when new data are available. We included miscellaneous functions and a user-friendly graphical interface for visualization of genomic diversity, population relationships (genetic affinity), ancestral makeup, footprints of natural selection, and population history etc. Moreover, PGG.Population provides a useful feature for users to analyze data and visualize results in a dynamic style via online illustration. The long-term ambition of the PGG.Population, together with the joint efforts from other researchers who contribute their data to our database, is to create a comprehensive depository of geographic and ethnic variation of human genome, as well as a platform bringing influence on future practitioners of medicine and clinical investigators. PGG.Population is available at https://www.pggpopulation.org. Oxford University Press 2018-01-04 2017-11-03 /pmc/articles/PMC5753384/ /pubmed/29112749 http://dx.doi.org/10.1093/nar/gkx1032 Text en © The Author(s) 2017. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Database Issue
Zhang, Chao
Gao, Yang
Liu, Jiaojiao
Xue, Zhe
Lu, Yan
Deng, Lian
Tian, Lei
Feng, Qidi
Xu, Shuhua
PGG.Population: a database for understanding the genomic diversity and genetic ancestry of human populations
title PGG.Population: a database for understanding the genomic diversity and genetic ancestry of human populations
title_full PGG.Population: a database for understanding the genomic diversity and genetic ancestry of human populations
title_fullStr PGG.Population: a database for understanding the genomic diversity and genetic ancestry of human populations
title_full_unstemmed PGG.Population: a database for understanding the genomic diversity and genetic ancestry of human populations
title_short PGG.Population: a database for understanding the genomic diversity and genetic ancestry of human populations
title_sort pgg.population: a database for understanding the genomic diversity and genetic ancestry of human populations
topic Database Issue
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5753384/
https://www.ncbi.nlm.nih.gov/pubmed/29112749
http://dx.doi.org/10.1093/nar/gkx1032
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