A cross-population atlas of genetic associations for 220 human phenotypes

Author:

Sakaue SaoriORCID,Kanai MasahiroORCID,Tanigawa YosukeORCID,Karjalainen Juha,Kurki Mitja,Koshiba Seizo,Narita AkiraORCID,Konuma Takahiro,Yamamoto Kenichi,Akiyama Masato,Ishigaki KazuyoshiORCID,Suzuki Akari,Suzuki KenORCID,Obara Wataru,Yamaji Ken,Takahashi Kazuhisa,Asai Satoshi,Takahashi YasuoORCID,Suzuki Takao,Shinozaki Nobuaki,Yamaguchi HirokiORCID,Minami Shiro,Murayama Shigeo,Yoshimori Kozo,Nagayama Satoshi,Obata Daisuke,Higashiyama Masahiko,Masumoto Akihide,Koretsune Yukihiro,Ito KaoruORCID,Terao ChikashiORCID,Yamauchi Toshimasa,Komuro IsseiORCID,Kadowaki Takashi,Tamiya Gen,Yamamoto MasayukiORCID,Nakamura Yusuke,Kubo MichiakiORCID,Murakami YoshinoriORCID,Yamamoto Kazuhiko,Kamatani Yoichiro,Palotie AarnoORCID,Rivas Manuel A.ORCID,Daly Mark J.ORCID,Matsuda KoichiORCID,Okada YukinoriORCID,

Funder

Japan Society for the Promotion of Science London

Japan Agency for Medical Research and Development

Takeda Science Foundation

Bioinformatics Initiative of Osaka University Graduate School of Medicine, Osaka University

Mochida Memorial Foundation for Medical and Pharmaceutical Research

Astellas Foundation for Research on Metabolic Disorders

Kanae Foundation for the Promotion of Medical Science

The JCR Grant for Promoting Basic Rheumatology

Heiwa Nakajima Foundation

the Masason Foundation

Funai Overseas Scholarship from the Funai Foundation for Information Technology

U.S. Department of Health & Human Services | NIH | National Human Genome Research Institute

a National Institute of Health center for Multi- and Cross-population Mapping of Mendelian and Complex Diseases grant

Publisher

Springer Science and Business Media LLC

Subject

Genetics

Reference64 articles.

1. Berger, D. A brief history of medical diagnosis and the birth of the clinical laboratory. Part 1—ancient times through the 19th century. MLO Med. Lab. Obs. 31, 28–30 (1999).

2. Organización Mundial de la Salud. International Statistical Classification of Diseases and Related Health Problems, 10th revision (ICD-10) (World Health Organization, 2016).

3. Denny, J. C. et al. Systematic comparison of phenome-wide association study of electronic medical record data and genome-wide association study data. Nat. Biotechnol. 31, 1102–1110 (2013).

4. Welter, D. et al. The NHGRI GWAS Catalog, a curated resource of SNP–trait associations. Nucleic Acids Res. 42, D1001–D1006 (2014).

5. Denny, J. C. et al. PheWAS: demonstrating the feasibility of a phenome-wide scan to discover gene–disease associations. Bioinformatics 26, 1205–1210 (2010).

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