Applying family analyses to electronic health records to facilitate genetic research | Zendy

Xiayuan Huang | Zendy; Robert C. Elston | Zendy; Guilherme J. M. Rosa | Zendy; John Mayer | Zendy; Zhan Ye | Zendy; Terrie Kitchner | Zendy; Murray H. Brilliant | Zendy; David Page | Zendy; Scott J. Hebbring | Zendy

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Applying family analyses to electronic health records to facilitate genetic research

Author(s) -

Xiayuan Huang,

Robert C. Elston,

Guilherme J. M. Rosa,

John Mayer,

Zhan Ye,

Terrie Kitchner,

Murray H. Brilliant,

David Page,

Scott J. Hebbring

Publication year - 2017

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btx569

Subject(s) - pedigree chart , health records , genotyping , computer science , genetic data , data science , throughput , data mining , genetics , biology , medicine , health care , genotype , population , telecommunications , environmental health , gene , economics , wireless , economic growth

Pedigree analysis is a longstanding and powerful approach to gain insight into the underlying genetic factors in human health, but identifying, recruiting and genotyping families can be difficult, time consuming and costly. Development of high throughput methods to identify families and foster downstream analyses are necessary.

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