Mentor

Lesly Cerezo, Instituto Politécnico Nacional, Mexico City

Publication Date

Summer 2022

Document Type

Paper

DOI

10.25776/63av-zc24

Pages

1-6

Abstract

In statistical genetics, genetic association and genomic prediction become more successful with a highly heritable trait. Identifying highly heritable components of a complex disease can thus advance scientific understanding of the disease and potentially lead to effective prevention and treatments. Using Matlab and existing large-scale genome datasets, we evaluate a restricted maximum likelihood approach to identify highly heritable components of a complex disease as a function of multiple clinical variables.

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