Profiling phenome-wide associations: a population-based observational study | Zendy

Shabbir Syed-Abdul | Zendy; Max Moldovan | Zendy; Phung-Anh Nguyen | Zendy; Ruslan Enikeev | Zendy; WenShan Jian | Zendy; Usman Iqbal | Zendy; MinHuei Hsu | Zendy; YuChuan Li | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Profiling phenome-wide associations: a population-based observational study

Author(s) -

Shabbir Syed-Abdul,

Max Moldovan,

Phung-Anh Nguyen,

Ruslan Enikeev,

WenShan Jian,

Usman Iqbal,

MinHuei Hsu,

YuChuan Li

Publication year - 2015

Publication title -

journal of the american medical informatics association

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.614

H-Index - 150

eISSN - 1527-974X

pISSN - 1067-5027

DOI - 10.1093/jamia/ocu019

Subject(s) - phenome , observational study , demography , pairwise comparison , population , medicine , odds , correlation , spearman's rank correlation coefficient , odds ratio , gerontology , biology , phenotype , statistics , environmental health , logistic regression , genetics , mathematics , geometry , sociology , gene

To objectively characterize phenome-wide associations observed in the entire Taiwanese population and represent them in a meaningful, interpretable way.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research