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Chris Haley

Researcher at University of Edinburgh

Publications -  427
Citations -  26040

Chris Haley is an academic researcher from University of Edinburgh. The author has contributed to research in topics: Quantitative trait locus & Population. The author has an hindex of 71, co-authored 410 publications receiving 23592 citations. Previous affiliations of Chris Haley include Medical Research Council & The Roslin Institute.

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Journal ArticleDOI

A simple regression method for mapping quantitative trait loci in line crosses using flanking markers.

Chris Haley, +1 more
- 01 Oct 1992 - 
TL;DR: Methods for mapping QTL based on multiple regression which can be applied using any general statistical package are developed and it is shown that these regression methods produce very similar results to those obtained using maximum likelihood.
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Modulation of genetic associations with serum urate levels by body-mass-index in humans

Jennifer E. Huffman, +120 more
- 26 Mar 2015 - 
TL;DR: Interactions between body mass index (BMI) and common genetic variants affecting serum urate levels, genome-wide, and regression-type analyses in a non BMI-stratified overall sample suggested a role for N-glycan biosynthesis as a prominent urate-associated pathway in the lean stratum.
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Genetic mechanisms of critical illness in Covid-19.

Erola Pairo-Castineira, +1449 more
- 04 Mar 2021 - 
TL;DR: The GenOMICC (Genetics Of Mortality In Critical Care) genome-wide association study in 2244 critically ill Covid-19 patients from 208 UK intensive care units is reported, finding evidence in support of a causal link from low expression of IFNAR2, and high expression of TYK2, to life-threatening disease.
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Epistasis: too often neglected in complex trait studies?

TL;DR: 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.
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A regulatory mutation in IGF2 causes a major QTL effect on muscle growth in the pig

TL;DR: This study establishes a causal relationship between a single-base-pair substitution in a non-coding region and a QTL effect, and supports the long-held view that regulatory mutations are important for controlling phenotypic variation.