scispace - formally typeset
R

Richard Barfield

Researcher at Fred Hutchinson Cancer Research Center

Publications -  37
Citations -  1440

Richard Barfield is an academic researcher from Fred Hutchinson Cancer Research Center. The author has contributed to research in topics: Medicine & Genome-wide association study. The author has an hindex of 12, co-authored 26 publications receiving 1032 citations. Previous affiliations of Richard Barfield include University of Washington & Harvard University.

Papers
More filters
Journal ArticleDOI

Genome-wide association study identifies multiple susceptibility loci for pancreatic cancer

Brian M. Wolpin, +123 more
- 01 Sep 2014 - 
TL;DR: This study identified multiple new susceptibility alleles for pancreatic cancer that are worthy of follow-up studies and an independent signal in exon 2 of TERT at the established region 5p15.
Journal ArticleDOI

Accounting for Population Stratification in DNA Methylation Studies

TL;DR: Among the different approaches to computing methylation‐based PCs, it is found that PCs based on CpG sites chosen for their potential to proxy nearby SNPs can provide a powerful and computationally efficient approach to adjust for population stratification in DNA methylation studies when genome‐wide SNP data are unavailable.
Journal ArticleDOI

CpGassoc: an R function for analysis of DNA methylation microarray data

TL;DR: CpGassoc is a modular, expandable package with functions to perform rapid analyses of DNA methylation data via fixed or mixed effects models, to perform basic quality control, to carry out permutation tests, and to display results via an array of publication-quality plots.
Journal ArticleDOI

A transcriptome-wide association study of 229,000 women identifies new candidate susceptibility genes for breast cancer

Lang Wu, +234 more
- 18 Jun 2018 - 
TL;DR: A transcriptome-wide association study evaluating associations of genetically predicted gene expression with breast cancer risk finds 48 candidate genes implicated in breast cancer susceptibility, including 14 at novel loci at loci not yet reported for breast cancer.
Journal ArticleDOI

Transcriptome‐wide association studies accounting for colocalization using Egger regression

TL;DR: An extension of the Mendelian randomization (MR) egger regression method is examined that allows for LD while only requiring summary association data for both GWAS and eQTL, to distinguish between true susceptibility genes and colocalization due to LD.