Literature DB >> 28854181

Reaching for the next branch on the biobank tree of knowledge.

Nancy J Cox1.   

Abstract

An innovative study analyzing genetic association across tree-structured routine healthcare data in the UK Biobank represents a new branch on a tree that is poised to grow rapidly and offer new kinds of insights on how genome variation relates to human health and disease. Indeed, this tree is likely to offer new kinds of insights into the very nature of human disease.

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Year:  2017        PMID： 28854181     DOI： 10.1038/ng.3946

Source DB:  PubMed          Journal:  Nat Genet        ISSN： 1061-4036            Impact factor:   38.330


  2 in total

1.  PheWAS: demonstrating the feasibility of a phenome-wide scan to discover gene-disease associations.

Authors:  Joshua C Denny; Marylyn D Ritchie; Melissa A Basford; Jill M Pulley; Lisa Bastarache; Kristin Brown-Gentry; Deede Wang; Dan R Masys; Dan M Roden; Dana C Crawford
Journal:  Bioinformatics       Date:  2010-03-24       Impact factor: 6.937

2.  Bayesian analysis of genetic association across tree-structured routine healthcare data in the UK Biobank.

Authors:  Adrian Cortes; Calliope A Dendrou; Allan Motyer; Luke Jostins; Damjan Vukcevic; Alexander Dilthey; Peter Donnelly; Stephen Leslie; Lars Fugger; Gil McVean
Journal:  Nat Genet       Date:  2017-07-31       Impact factor: 38.330
  2 in total

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