ArticleJournal of the American Statistical Association2021
Gene-Based Association Testing of Dichotomous Traits With Generalized Functional Linear Mixed Models Using Extended Pedigrees: Applications to Age-Related Macular Degeneration.
Article in Journal of the American Statistical Association, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 8 citations in OpenAlex.
- High-Dimensional Gene-Environment Interaction Analysis.Annual review of statistics and its application · 2025Article
- Article
- A novel rare variants association test for binary traits in family-based designs via copulas.Statistical methods in medical research · 2023Article
- Article
- Penalized partial least squares for pleiotropy.BMC bioinformatics · 2021Article
- Linear mixed models for association analysis of quantitative traits with next-generation sequencing data.Genetic epidemiology · 2019Article
- Adaptive SNP-Set Association Testing in Generalized Linear Mixed Models with Application to Family Studies.Behavior genetics · 2018Article
Corrections and comments
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Authors and funding
18 authors at 9 institutions in 2 countries.
Funding
Abstract
Genetics plays a role in age-related macular degeneration (AMD), a common cause of blindness in the elderly. There is a need for powerful methods for carrying out region-based association tests between a dichotomous trait like AMD and genetic variants on family data. Here, we apply our new generalized functional linear mixed models (GFLMM) developed to test for gene-based association in a set of AMD families. Using common and rare variants, we observe significant association with two known AMD genes:
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