Rare variant association test with multiple phenotypes
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DOI: 10.1002/gepi.22021
Abstract: Although genome‐wide association studies (GWAS) have now discovered thousands of genetic variants associated with common traits, such variants cannot explain the large degree of “missing heritability,” likely due to rare variants. The advent of next… read more here.
Keywords: multiple phenotypes; association test; association; rare variants ... See more keywords
Joint analysis of multiple phenotypes for extremely unbalanced case‐control association studies
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DOI: 10.1002/gepi.22513
Abstract: In genome‐wide association studies (GWAS) for thousands of phenotypes in biobanks, most binary phenotypes have substantially fewer cases than controls. Many widely used approaches for joint analysis of multiple phenotypes produce inflated type I error… read more here.
Keywords: unbalanced case; multiple phenotypes; control; case control ... See more keywords
A clustering linear combination approach to jointly analyze multiple phenotypes for GWAS
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DOI: 10.1093/bioinformatics/bty810
Abstract: Summary There is an increasing interest in joint analysis of multiple phenotypes for genome‐wide association studies (GWASs) based on the following reasons. First, cohorts usually collect multiple phenotypes and complex diseases are usually measured by… read more here.
Keywords: multiple phenotypes; individual statistics; clustering linear; linear combination ... See more keywords
Redundant and incoherent regulations of multiple phenotypes suggest microRNAs' role in stability control.
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DOI: 10.1101/gr.222505.117
Abstract: Each microRNA (miRNA) represses a web of target genes and, through them, controls multiple phenotypes. The difficulties inherent in such controls cast doubt on how effective miRNAs are in driving phenotypic changes. A "simple regulation"… read more here.
Keywords: multiple phenotypes; control; model; stability control ... See more keywords
A Novel Approach Integrating Hierarchical Clustering and Weighted Combination for Association Study of Multiple Phenotypes and a Genetic Variant
Sign Up to like & getrecommendations! Published in 2021 at "Frontiers in Genetics"
DOI: 10.3389/fgene.2021.654804
Abstract: As a pivotal research tool, genome-wide association study has successfully identified numerous genetic variants underlying distinct diseases. However, these identified genetic variants only explain a small proportion of the phenotypic variation for certain diseases, suggesting… read more here.
Keywords: multiple phenotypes; hierarchical clustering; association; association study ... See more keywords
A Novel Hierarchical Clustering Approach for Joint Analysis of Multiple Phenotypes Uncovers Obesity Variants Based on ARIC
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Genetics"
DOI: 10.3389/fgene.2022.791920
Abstract: Genome-wide association studies (GWASs) have successfully discovered numerous variants underlying various diseases. Generally, one-phenotype one-variant association study in GWASs is not efficient in identifying variants with weak effects, indicating that more signals have not been… read more here.
Keywords: existing methods; clustering approach; hierarchical clustering; multiple phenotypes ... See more keywords