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Reference: Cai, N, Bigdeli, TB, Kretzschmar, WW et al., (2017). 11,670 whole-genome sequences representative of the Han Chinese population from the CONVERGE project. Scientific Data, 4, 170011.Citable link to this page:

 

11,670 whole-genome sequences representative of the Han Chinese population from the CONVERGE project.

Abstract: The China, Oxford and Virginia Commonwealth University Experimental Research on Genetic Epidemiology (CONVERGE) project on Major Depressive Disorder (MDD) sequenced 11,670 female Han Chinese at low-coverage (1.7X), providing the first large-scale whole genome sequencing resource representative of the largest ethnic group in the world. Samples are collected from 58 hospitals from 23 provinces around China. We are able to call 22 million high quality single nucleotide polymorphisms (SNP) from the nuclear genome, representing the largest SNP call set from an East Asian population to date. We use these variants for imputation of genotypes across all samples, and this has allowed us to perform a successful genome wide association study (GWAS) on MDD. The utility of these data can be extended to studies of genetic ancestry in the Han Chinese and evolutionary genetics when integrated with data from other populations. Molecular phenotypes, such as copy number variations and structural variations can be detected, quantified and analysed in similar ways.

Publication status:PublishedPeer Review status:Peer reviewedVersion:Publisher's versionDate of acceptance:2017-01-04 Funder: Wellcome Trust   Funder: National Institutes of Health   Funder: EBI-Sanger   Funder: European Research Council   Notes:© The Author(s) 2017. This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0 Metadata associated with this Data Descriptor is available at http://www.nature.com/sdata/ and is released under the CC0 waiver to maximize reuse.

Bibliographic Details

Publisher: Nature Publishing Group

Publisher Website: http://www.nature.com/

Journal: Scientific Datasee more from them

Publication Website: http://www.nature.com/sdata/

Volume: 4

Issue Date: 2017-02

pages:170011Identifiers

Doi: https://doi.org/10.1038/sdata.2017.11

Issn: 2052-4463

Uuid: uuid:13359daf-260f-48d2-bf51-8889ef6426b2

Urn: uri:13359daf-260f-48d2-bf51-8889ef6426b2

Pubs-id: pubs:680497 Item Description

Type: journal-article;

Language: eng

Version: Publisher's versionKeywords: Journal Article

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Autor: Cai, N - - - Bigdeli, TB - - - Kretzschmar, WW - - - Li, Y - - - Liang, J - - - Hu, J - - - Peterson, RE - - - Bacanu, S - - - We

Fuente: https://ora.ox.ac.uk/objects/uuid:13359daf-260f-48d2-bf51-8889ef6426b2



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