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Paul J. McLaren

Researcher at Public Health Agency of Canada

Publications -  99
Citations -  7656

Paul J. McLaren is an academic researcher from Public Health Agency of Canada. The author has contributed to research in topics: Genome-wide association study & Human leukocyte antigen. The author has an hindex of 35, co-authored 90 publications receiving 6730 citations. Previous affiliations of Paul J. McLaren include Brigham and Women's Hospital & Swiss Institute of Bioinformatics.

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Defining the role of common variation in the genomic and biological architecture of adult human height

Andrew R. Wood, +444 more
- 01 Nov 2014 - 
TL;DR: This article identified 697 variants at genome-wide significance that together explained one-fifth of the heritability for adult height, and all common variants together captured 60% of heritability.
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The major genetic determinants of HIV-1 control affect HLA class I peptide presentation

Florencia Pereyra, +336 more
- 10 Dec 2010 - 
TL;DR: Differences in binding to viral peptide antigens by HLA may be the major factors underlying genetic differences between HIV controllers and progressors, and genome-wide association results implicate the nature of the HLA–viral peptide interaction as the major factor modulating durable control of HIV infection.
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Exome sequencing and the genetic basis of complex traits

Adam Kiezun, +26 more
- 01 Jun 2012 - 
TL;DR: Exome sequencing methods and their applications in studies to identify the genetic basis of human complex traits are presented and include analyses of the whole-exome sequences of 438 individuals from across several studies.
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Influence of HLA-C Expression Level on HIV Control

Richard Apps, +45 more
- 05 Apr 2013 - 
TL;DR: It is demonstrated that increasing surface expression of HLA-C is associated with reduced viral load and reduced rate of progression to low CD4+ T cell counts in African and European Americans.
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Extremely low-coverage sequencing and imputation increases power for genome-wide association studies

Bogdan Pasaniuc, +34 more
- 01 Jun 2012 - 
TL;DR: It is shown that extremely low-coverage sequencing captures almost as much of the common and low-frequency variation across the genome as SNP arrays, within the context of reductions in sample preparation and sequencing costs.