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Journal ArticleDOI

Epistasis: too often neglected in complex trait studies?

Örjan Carlborg, +1 more
- 01 Aug 2004 - 
- Vol. 5, Iss: 8, pp 618-625
TLDR
It is argued that epistasis should be accounted for in complex trait studies; current study designs for detecting epistasis are critically assessed and how these might be adapted for use in additional populations, including humans.
Abstract
Interactions among loci or between genes and environmental factors make a substantial contribution to variation in complex traits such as disease susceptibility. Nonetheless, many studies that attempt to identify the genetic basis of complex traits ignore the possibility that loci interact. We argue that epistasis should be accounted for in complex trait studies; we critically assess current study designs for detecting epistasis and discuss how these might be adapted for use in additional populations, including humans.

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Citations
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Journal ArticleDOI

The mystery of missing heritability: Genetic interactions create phantom heritability.

TL;DR: It is shown here that a substantial portion of missing heritability could arise from overestimation of the denominator, creating “phantom heritability,” and a method for estimating heritability from isolated populations that is not inflated by genetic interactions is described.
Journal ArticleDOI

A tutorial on statistical methods for population association studies

TL;DR: An overview of statistical approaches to population association studies, including preliminary analyses (Hardy–Weinberg equilibrium testing, inference of phase and missing data, and SNP tagging), and single-SNP and multipoint tests for association.
Journal ArticleDOI

Epistasis--the essential role of gene interactions in the structure and evolution of genetic systems.

TL;DR: There is a renewed appreciation both for the importance of studying gene interactions and for addressing these questions in a unified, quantitative manner with the advent of high-throughput functional genomics.
Journal ArticleDOI

Genomic Selection for Crop Improvement

TL;DR: Genomic selection would substantially accelerate the breeding cycle, enhancing gains per unit time and dramatically change the role of phenotyping, which would then serve to update prediction models and no longer to select lines.
References
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Journal ArticleDOI

Controlling the false discovery rate: a practical and powerful approach to multiple testing

TL;DR: In this paper, a different approach to problems of multiple significance testing is presented, which calls for controlling the expected proportion of falsely rejected hypotheses -the false discovery rate, which is equivalent to the FWER when all hypotheses are true but is smaller otherwise.
Journal ArticleDOI

The International HapMap Project

John W. Belmont, +145 more
- 18 Dec 2003 - 
TL;DR: The HapMap will allow the discovery of sequence variants that affect common disease, will facilitate development of diagnostic tools, and will enhance the ability to choose targets for therapeutic intervention.
Journal ArticleDOI

Empirical threshold values for quantitative trait mapping.

TL;DR: An empirical method is described, based on the concept of a permutation test, for estimating threshold values that are tailored to the experimental data at hand, and is demonstrated using two real data sets derived from F(2) and recombinant inbred plant populations.
Journal ArticleDOI

Mapping mendelian factors underlying quantitative traits using rflp linkage maps

TL;DR: In this paper, a set of analytical methods that modify and extend the classical theory for mapping such quantitative trait loci (QTLs) are described, and explicit graphs are provided that allow experimental geneticists to estimate, in any particular case, the number of progeny required to map QTLs underlying a quantitative trait.
Journal ArticleDOI

Less-than-additive epistatic interactions of quantitative trait loci in tomato.

TL;DR: It is proposed that the diminishing additivity of QTL effects is amplified when more loci are involved; this mode of epistasis may be an important factor in phenotype canalization and in breeding.
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