𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Detecting epistatic interactions contributing to quantitative traits

✍ Scribed by Robert Culverhouse; Tsvika Klein; William Shannon

Publisher
John Wiley and Sons
Year
2004
Tongue
English
Weight
189 KB
Volume
27
Category
Article
ISSN
0741-0395

No coin nor oath required. For personal study only.

✦ Synopsis

Abstract

The restricted partition method (RPM) is a partitioning algorithm for examining multi‐locus genotypes as (potentially non‐additive) predictors of a quantitative trait. The motivating application was to develop a robust method to examine quantitative phenotypes for epistasis (gene–gene interactions), but the method can be applied without modification to gene–environment interactions. Simulation results indicate that the method provides an efficient way to identify loci contributing epistatically to a quantitative trait, even if the loci have no single locus effects. Statistical significance can be estimated through permutation testing. An example using real data involving the metabolism of a chemotherapy drug is included for illustration. Although the examples in this article involve 2‐locus interactions, the RPM is computationally feasible for the analysis of more than two loci or factors. © 2004 Wiley‐Liss, Inc.

📜 SIMILAR VOLUMES

Detecting genetic interactions for quant
Detecting genetic interactions for quantitative traits with U-statistics
✍ Ming Li; Chengyin Ye; Wenjiang Fu; Robert C. Elston; Qing Lu 📂 Article 📅 2011 🏛 John Wiley and Sons 🌐 English ⚖ 203 KB

The genetic etiology of complex human diseases has been commonly viewed as a process that involves multiple genetic variants, environmental factors, as well as their interactions. Statistical approaches, such as the multifactor dimensionality reduction (MDR) and generalized MDR (GMDR), have recently

Score test for detecting linkage to quan
Score test for detecting linkage to quantitative traits
✍ H. Putter; L.A. Sandkuijl; J.C. van Houwelingen 📂 Article 📅 2002 🏛 John Wiley and Sons 🌐 English ⚖ 119 KB

## Abstract The two most popular methods to detect linkage of a quantitative trait to a marker are the Haseman‐Elston regression method and the variance components likelihood‐ratio test. In the literature, these methods are frequently compared and the relative advantages and disadvantages of each m

Sequential sib-pair and association stud
Sequential sib-pair and association studies to detect genes in quantitative traits
✍ Amanda Savage; Fengzhu Sun; Dana C. Crawford; Allison E. Ashley; Quanhe Yang; St 📂 Article 📅 1997 🏛 John Wiley and Sons 🌐 English ⚖ 34 KB 👁 1 views

We applied sib-pair and association methods to a GAW data set of nuclear families with quantitative traits. Our approaches included 1) preliminary statistical studies including correlations and linear regressions, 2) sib-pair methods, and 3) association studies. We used a single data set to screen f

Detecting interacting genetic loci with
Detecting interacting genetic loci with effects on quantitative traits where the nature and order of the interaction are unknown
✍ Joanna L. Davies; Jotun Hein; Chris C. Holmes 📂 Article 📅 2009 🏛 John Wiley and Sons 🌐 English ⚖ 284 KB

## Abstract Standard techniques for single marker quantitative trait mapping perform poorly in detecting complex interacting genetic influences. When a genetic marker interacts with other genetic markers and/or environmental factors to influence a quantitative trait, a sample of individuals will sh

On the use of phylogeny-based tests to d
On the use of phylogeny-based tests to detect association between quantitative traits and haplotypes
✍ Claire Bardel; Vincent Danjean; Pierre Morange; Emmanuelle Génin; Pierre Darlu 📂 Article 📅 2009 🏛 John Wiley and Sons 🌐 English ⚖ 216 KB 👁 1 views

## Abstract With the increasing availability of genetic data, several SNPs in a candidate gene can be combined into haplotypes to test for association with a quantitative trait. When the number of SNPs increases, the number of haplotypes can become very large and there is a need to group them toget

On a semiparametric test to detect assoc
On a semiparametric test to detect associations between quantitative traits and candidate genes using unrelated individuals
✍ Shuanglin Zhang; Xiaofeng Zhu; Hongyu Zhao 📂 Article 📅 2002 🏛 John Wiley and Sons 🌐 English ⚖ 219 KB 👁 1 views

## Abstract Although genetic association studies using unrelated individuals may be subject to bias caused by population stratification, alternative methods that are robust to population stratification such as family‐based association designs may be less powerful. Recently, various statistical meth