PGG.Population: a database for understanding the genomic diversity and genetic ancestry of human populations
文献类型：期刊论文
| 作者 | Zhang, Chao2,3; Gao, Yang2,3; Liu, Jiaojiao2,3,4; Xue, Zhe2; Lu, Yan2; Deng, Lian2,3; Tian, Lei2,3; Feng, Qidi2,3; Xu, Shuhua2,3,4; Gao, Yang4 |
| 刊名 | NUCLEIC ACIDS RESEARCH
 |
| 出版日期 | 2018 |
| 卷号 | 46期号:D1页码:D984-D993 |
| ISSN号 | 0305-1048 |
| 关键词 | prostate cancer PSA glycosylation benign prostate hyperplasia EPS-urine |
| DOI | 10.1093/nar/gkx1032 |
| 文献子类 | Article |
| 英文摘要 | 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. |
| 学科主题 | Biochemistry & Molecular Biology |
| WOS关键词 | HIGH-ALTITUDE ADAPTATION ; DNA-SEQUENCING DATA ; TIBETAN HIGHLANDERS ; POSITIVE SELECTION ; WIDE ASSOCIATION ; MUTATION LOAD ; SOUTH-ASIA ; HISTORY ; ADMIXTURE ; COMPONENTS |
| 语种 | 英语 |
| 出版者 | OXFORD UNIV PRESS |
| WOS记录号 | WOS:000419550700144 |
| 版本 | 出版稿 |
| 源URL | [http://202.127.25.144/handle/331004/992]  |
| 专题 | 中国科学院上海生命科学研究院营养科学研究所 |
| 作者单位 | 1.Collaborat Innovat Ctr Genet & Dev, Shanghai 200438, Peoples R China, 2.Chinese Acad Sci, Key Lab Computat Biol, Max Planck Independent Res Grp Populat Genom, CAS MPG Partner Inst Computat Biol PICB,Shanghai, Shanghai 200031, Peoples R China; 3.Univ Chinese Acad Sci, Beijing 201210, Peoples R China; 4.ShanghaiTech Univ, Sch Life Sci & Technol, Shanghai 201210, Peoples R China; |
| 推荐引用方式 GB/T 7714 | Zhang, Chao,Gao, Yang,Liu, Jiaojiao,et al. PGG.Population: a database for understanding the genomic diversity and genetic ancestry of human populations[J]. NUCLEIC ACIDS RESEARCH,2018,46(D1):D984-D993. |
| APA | Zhang, Chao.,Gao, Yang.,Liu, Jiaojiao.,Xue, Zhe.,Lu, Yan.,...&,.(2018).PGG.Population: a database for understanding the genomic diversity and genetic ancestry of human populations.NUCLEIC ACIDS RESEARCH,46(D1),D984-D993. |
| MLA | Zhang, Chao,et al."PGG.Population: a database for understanding the genomic diversity and genetic ancestry of human populations".NUCLEIC ACIDS RESEARCH 46.D1(2018):D984-D993. |
入库方式： OAI收割
来源：上海营养与健康研究所
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