Methods for analyzing multivariate phenotypes in genetic association studies
type: Item
instance of: scholarly article
title: Methods for analyzing multivariate phenotypes in genetic association studies
zbMATH Open document ID: 1263.62135
DOI: 10.1155/2012/652569
author: Qiong Yang
author: Yuanjia Wang
published in: Journal of Probability and Statistics
publication date: 2012-10-10T00:00:00Z
review text: Summary: Multivariate phenotypes are frequently encountered in genetic association studies. The purpose of analyzing multivariate phenotypes usually includes discovery of novel genetic variants of pleiotropy effects, that is, affecting multiple phenotypes, and the ultimate goal of uncovering the underlying genetic mechanism. In recent years, there have been new method developments and applications of existing statistical methods to such phenotypes. We provide a review of the available methods for analyzing association between a single marker and a multivariate phenotype consisting of the same type of components (e.g., all continuous or all categorical) or different types of components (e.g., some are continuous and others are categorical). We also reviewed causal inference methods designed to test whether the detected association with the multivariate phenotype is truly pleiotropy or the genetic marker exerts its effects on some phenotypes through affecting the others.
Mathematics Subject Classification ID: 62P10
Mathematics Subject Classification ID: 92D10
Mathematics Subject Classification ID: 92D15
zbMATH DE Number: 6092416
describes a project that uses: PBAT
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2012/652569
OpenAlex ID: W2064350862
Wikidata QID: Q30486900
cites work: Random-Effects Models for Longitudinal Data
cites work: A likelihood-based method for analysing longitudinal binary responses
cites work: Recovery of inter-block information when block sizes are unequal
cites work: Maximum Likelihood Approaches to Variance Component Estimation and to Related Problems
cites work: Approximate Inference in Generalized Linear Mixed Models
cites work: Linear mixed models and penalized least squares
cites work: Longitudinal data analysis using generalized linear models
cites work: A Family-Based Association Test for Repeatedly Measured Quantitative Traits Adjusting for Unknown Environmental and/or Polygenic Effects
cites work: A multivariate family-based association test using generalized estimating equations: FBAT-GEE
cites work: Practical methods for computing power in testing the multivariate general linear hypothesis
cites work: Regression Models for Mixed Discrete and Continuous Responses with Potentially Missing Values
cites work: Combining dependent tests for linkage or association across multiple phenotypic traits
cites work: Combining dependent tests with incomplete repeated measurements
cites work: Approximate and Asymptotic Distributions of Chi-Squared–Type Mixtures With Applications
cites work: Causal diagrams for empirical research
cites work: Estimation of controlled direct effects on a dichotomous outcome using logistic structural direct effect models
description: scientific article; zbMATH DE number 6092416