Statistical methods to detect pleiotropy in human complex traits
S Hackinger, E Zeggini - Open biology, 2017 - royalsocietypublishing.org
In recent years pleiotropy, the phenomenon of one genetic locus influencing several traits,
has become a widely researched field in human genetics. With the increasing availability of …
has become a widely researched field in human genetics. With the increasing availability of …
Computational genomics in the era of precision medicine: applications to variant analysis and gene therapy
Rapid methodological advances in statistical and computational genomics have enabled
researchers to better identify and interpret both rare and common variants responsible for …
researchers to better identify and interpret both rare and common variants responsible for …
Multi-trait analysis of rare-variant association summary statistics using MTAR
Integrating association evidence across multiple traits can improve the power of gene
discovery and reveal pleiotropy. Most multi-trait analysis methods focus on individual …
discovery and reveal pleiotropy. Most multi-trait analysis methods focus on individual …
Multi‐SKAT: General framework to test for rare‐variant association with multiple phenotypes
In genetic association analysis, a joint test of multiple distinct phenotypes can increase
power to identify sets of trait‐associated variants within genes or regions of interest. Existing …
power to identify sets of trait‐associated variants within genes or regions of interest. Existing …
New common and rare variants influencing metabolic syndrome and its individual components in a Korean population
To identify novel loci for susceptibility to MetS, we conducted genome-wide association and
exome wide association studies consisting of a discovery stage cohort (KARE, 1946 cases …
exome wide association studies consisting of a discovery stage cohort (KARE, 1946 cases …
A maximum kernel-based association test to detect the pleiotropic genetic effects on multiple phenotypes
J Wang, M Long, Q Li - Bioinformatics, 2023 - academic.oup.com
Motivation Testing the association between multiple phenotypes with a set of genetic
variants simultaneously, rather than analyzing one trait at a time, is receiving increasing …
variants simultaneously, rather than analyzing one trait at a time, is receiving increasing …
A survey of SNP data analysis
X Ding, X Guo - Big Data Mining and Analytics, 2018 - ieeexplore.ieee.org
Every person differs from every other person regarding their physical appearance,
susceptibility to disease, response to medications, and so on. However, 99.9 percent of …
susceptibility to disease, response to medications, and so on. However, 99.9 percent of …
Meta‐MultiSKAT: Multiple phenotype meta‐analysis for region‐based association test
The power of genetic association analyses can be increased by jointly meta‐analyzing
multiple correlated phenotypes. Here, we develop a meta‐analysis framework, Meta …
multiple correlated phenotypes. Here, we develop a meta‐analysis framework, Meta …
Bivariate quantitative Bayesian LASSO for detecting association of rare haplotypes with two correlated continuous phenotypes
IH Sajal, S Biswas - Frontiers in Genetics, 2023 - frontiersin.org
In genetic association studies, the multivariate analysis of correlated phenotypes offers
statistical and biological advantages compared to analyzing one phenotype at a time. The …
statistical and biological advantages compared to analyzing one phenotype at a time. The …
Weighted Selection Probability to Prioritize Susceptible Rare Variants in Multi-Phenotype Association Studies with Application to a Soybean Genetic Data Set
X Liang, H Sun - Journal of Computational Biology, 2023 - liebertpub.com
Rare variant association studies with multiple traits or diseases have drawn a lot of attention
since association signals of rare variants can be boosted if more than one phenotype …
since association signals of rare variants can be boosted if more than one phenotype …