Stephen J. Chanock

Dr. Stephen J. Chanock


Research Focus & Metrics

Academic Career Length

27Years (2000-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
6 June 2007 in Nature
Verified
Journal Article
Open access
PDF file
NSNCI-NHGRI Working Group on Replication in Association Studies
NCI-NHGRI Working Group on Replication in Association Studies
SCStephen J. Chanock
Stephen J. Chanock
TMTeri Manolio
Teri Manolio
MBMichael Boehnke
Michael Boehnke
EBEric Boerwinkle
Eric Boerwinkle
FCFrancis S. Collins
Francis S. Collins
What constitutes replication of a genotype–phenotype association, and how best can it be achieved? Reviews of the many genetic association studies published recently give pause for thought: there are many false positives and questionable genotype–phenotype associations in the literature. A working group set up by the National Cancer Institute and National Human Genome Research Institute has been tackling the thorny question of what constitutes replication of a genotype–phenotype association, and the initial results are published this week. Guidelines on best practice for reporting initial and replication studies are presented. But it's clear that a series of studies is sometimes necessary to confirm critical genotype–phenotype associations.

2 August 2009 in Nature Genetics
Verified
Journal Article
Closed access
PDF file
LALaufey Amundadottir
Laufey Amundadottir
PKPeter Kraft
Peter Kraft
RSRachael Z Stolzenberg-Solomon
Rachael Z Stolzenberg-Solomon
CFCharles S Fuchs
Charles S Fuchs
GPGloria M Petersen
Gloria M Petersen
RHRobert N Hoover
Robert N Hoover

24 January 2010 in Nature Genetics
Verified
Journal Article
Closed access
PDF file
GPGloria M Petersen
Gloria M Petersen
LALaufey Amundadottir
Laufey Amundadottir
CFCharles S Fuchs
Charles S Fuchs
PKPeter Kraft
Peter Kraft
RSRachael Z Stolzenberg-Solomon
Rachael Z Stolzenberg-Solomon
SCStephen J. Chanock
Stephen J. Chanock

6 May 2012 in Nature Genetics
Verified
Journal Article
Open access
PDF file
KJKevin B Jacobs
Kevin B Jacobs
MYMeredith Yeager
Meredith Yeager
WZWeiyin Zhou
Weiyin Zhou
SWSholom Wacholder
Sholom Wacholder
ZWZhaoming Wang
Zhaoming Wang
SCStephen J. Chanock
Stephen J. Chanock
Luis Pérez-Jurado, Stephen Chanock and colleagues detect clonal chromosomal abnormalities in peripheral blood or buccal samples from individuals in the general population. They show that the frequency of such events increases with age and is associated with elevated risk of developing subsequent hematological cancers. In an analysis of 31,717 cancer cases and 26,136 cancer-free controls from 13 genome-wide association studies, we observed large chromosomal abnormalities in a subset of clones in DNA obtained from blood or buccal samples. We observed mosaic abnormalities, either aneuploidy or copy-neutral loss of heterozygosity, of >2 Mb in size in autosomes of 517 individuals (0.89%), with abnormal cell proportions of between 7% and 95%. In cancer-free individuals, frequency increased with age, from 0.23% under 50 years to 1.91% between 75 and 79 years (P = 4.8 × 10−8). Mosaic abnormalities were more frequent in individuals with solid tumors (0.97% versus 0.74% in cancer-free individuals; odds ratio (OR) = 1.25; P = 0.016), with stronger association with cases who had DNA collected before diagnosis or treatment (OR = 1.45; P = 0.0005). Detectable mosaicism was also more common in individuals for whom DNA was collected at least 1 year before diagnosis with leukemia compared to cancer-free individuals (OR = 35.4; P = 3.8 × 10−11). These findings underscore the time-dependent nature of somatic events in the etiology of cancer and potentially other late-onset diseases.

3 December 2018 in Nature Genetics
Verified
Journal Article
Open access
JHJeroen R. Huyghe
Jeroen R. Huyghe
SBStephanie A. Bien
Stephanie A. Bien
THTabitha A. Harrison
Tabitha A. Harrison
HKHyun Min Kang
Hyun Min Kang
SCSai Chen
Sai Chen
UPUlrike Peters
Ulrike Peters
To further dissect the genetic architecture of colorectal cancer (CRC), we performed whole-genome sequencing of 1,439 cases and 720 controls, imputed discovered sequence variants and Haplotype Reference Consortium panel variants into genome-wide association study data, and tested for association in 34,869 cases and 29,051 controls. Findings were followed up in an additional 23,262 cases and 38,296 controls. We discovered a strongly protective 0.3% frequency variant signal at CHD1. In a combined meta-analysis of 125,478 individuals, we identified 40 new independent signals at P < 5 × 10-8, bringing the number of known independent signals for CRC to ~100. New signals implicate lower-frequency variants, Krüppel-like factors, Hedgehog signaling, Hippo-YAP signaling, long noncoding RNAs and somatic drivers, and support a role for immune function. Heritability analyses suggest that CRC risk is highly polygenic, and larger, more comprehensive studies enabling rare variant analysis will improve understanding of biology underlying this risk and influence personalized screening strategies and drug development.

18 May 2020 in Nature Genetics
Verified
Journal Article
Closed access
PDF file
HZHaoyu Zhang
Haoyu Zhang
TAThomas U. Ahearn
Thomas U. Ahearn
JLJulie Lecarpentier
Julie Lecarpentier
JBJonathan Beesley
Jonathan Beesley
GQGuanghao Qi
Guanghao Qi
MGMontserrat García-Closas
Montserrat García-Closas