A non-linear regression method for estimation of gene–environment heritability | Zendy

Matthew Kerin | Zendy; Jonathan Marchini | Zendy

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A non-linear regression method for estimation of gene–environment heritability

Author(s) -

Matthew Kerin,

Jonathan Marchini

Publication year - 2020

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/btaa1079

Subject(s) - heritability , biobank , linear regression , regression , statistics , computer science , measure (data warehouse) , linear model , r package , regression analysis , data mining , mathematics , biology , bioinformatics , genetics

Gene-environment (GxE) interactions are one of the least studied aspects of the genetic architecture of human traits and diseases. The environment of an individual is inherently high dimensional, evolves through time and can be expensive and time consuming to measure. The UK Biobank study, with all 500 000 participants having undergone an extensive baseline questionnaire, represents a unique opportunity to assess GxE heritability for many traits and diseases in a well powered setting.

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