The Personal Genome Project-UK, an open access resource of human multi-omics data

被引：17

作者：

Chervova, Olga ^{[1
]}

Conde, Lucia ^{[1
]}

Guerra-Assuncao, Jose Afonso ^{[1
]}

Moghul, Ismail ^{[1
]}

Webster, Amy P. ^{[1
]}

Berner, Alison ^{[1
,2
]}

Cadieux, Elizabeth Larose ^{[1
,3
]}

Tian, Yuan ^{[1
]}

Voloshin, Vitaly ^{[4
]}

Jesus, Tiago F. ^{[5
]}

Hamoudi, Rifat ^{[6
,7
]}

Herrero, Javier ^{[1
]}

Beck, Stephan ^{[1
]}

机构：

[1] UCL, UCL Canc Inst, London, England

[2] Queen Mary Univ London, Barts Canc Inst, London, England

[3] Francis Crick Inst, London, England

[4] Univ Warwick, Sch Engn, Coventry, W Midlands, England

[5] Lifebit Biotech Ltd, 219 Kensington High St, London W86BD, England

[6] Univ Sharjah, Coll Med, Sharjah, U Arab Emirates

[7] UCL, Div Surg & Intervent Sci, London, England

来源：

SCIENTIFIC DATA | 2019年 / 6卷 / 1期

关键词：

D O I：

10.1038/s41597-019-0205-4

中图分类号：

O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

Integrative analysis of multi-omics data is a powerful approach for gaining functional insights into biological and medical processes. Conducting these multifaceted analyses on human samples is often complicated by the fact that the raw sequencing output is rarely available under open access. The Personal Genome Project UK (PGP-UK) is one of few resources that recruits its participants under open consent and makes the resulting multi-omics data freely and openly available. As part of this resource, we describe the PGP-UK multi-omics reference panel consisting of ten genomic, methylomic and transcriptomic data. Specifically, we outline the data processing, quality control and validation procedures which were implemented to ensure data integrity and exclude sample mix-ups. In addition, we provide a REST API to facilitate the download of the entire PGP-UK dataset. The data are also available from two cloud-based environments, providing platforms for free integrated analysis. In conclusion, the genotype-validated PGP-UK multi-omics human reference panel described here provides a valuable new open access resource for integrated analyses in support of personal and medical genomics.

引用

页数：10

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