Gene-Based Association Testing of Dichotomous Traits With Generalized Functional Linear Mixed Models Using Extended Pedigrees: Applications to Age-Related Macular Degeneration

DOI10.1080/01621459.2020.1799809zbMath1464.62443OpenAlexW3046145719WikidataQ115042693 ScholiaQ115042693MaRDI QIDQ4999126

No author found.

Publication date: 6 July 2021

Published in: Journal of the American Statistical Association (Search for Journal in Brave)

Full work available at URL: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8315575

zbMATH Keywords

rare variantsassociation studycomplex diseasesage-related macular degenerationextended pedigreegeneralized functional linear mixed models

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10)

Uses Software

• fda (R)
• lme4
• pedigreem
• GCTA
• FFBSKAT
• Eigenstrat
• pedigreemm

Cites Work

• Unnamed Item
• Inference for functional data with applications
• Population structure and cryptic relatedness in genetic association studies
• Mathematical and statistical methods for genetic analysis.
• Efficient computation with a linear mixed model on large-scale data sets with applications to genetic studies
• Functional data analysis.
• Functional Data Analysis with R and MATLAB
• Estimation in generalized linear models with random effects
• Approximate Inference in Generalized Linear Mixed Models
• A practical guide to splines.

This page was built for publication: Gene-Based Association Testing of Dichotomous Traits With Generalized Functional Linear Mixed Models Using Extended Pedigrees: Applications to Age-Related Macular Degeneration