M3 - NCI Cancer Genetic Markers of Susceptibility (CGEMS) Initiative: Replication Phase

Investigator Names and Contact Information

Stephen Chanock (chanocks@mail.nih.gov)

Introduction/Intent

To help meet the Challenge Goal of eliminating suffering and death from cancer by 2015, the NCI is capitalizing on the extraordinary momentum generated by advances in human genetic research. The sequencing of the human genome and the annotation of common variations, together with new technologies for analyzing SNPs, have provided the tools for investigators to actively search for inherited variants in genes that increase or decrease cancer risk. The convergence of sequencing the human genome, rapid progress in the International HapMap project, and the development of technologies that permit very large-scale SNP genotyping has made it possible to execute well-designed association studies using common variants across the entire genome to map low-penetrant genes involved in cancer susceptibility. The results of such studies are expected to open new vistas in the search for causal pathways in cancer induction and progression that will lead to targets for novel intervention strategies.

The Cancer Genetic Markers of Susceptibility (CGEMS) initiative (Cancer Bulletin, 2005, Vol 2, Number 16, page 7) will use the latest genomic technologies to perform dense whole genome scans to identify and validate susceptibility genes in the induction and progression of prostate and breast cancer (pancreatic cancer will not be studied under this Collaboration Agreement). CGEMS represents a three year NCI enterprise initiative that will be coordinated through the Division of Cancer Epidemiology and Genetics (DCEG), the NCI Core Genotyping Facility (CGF) and the NCI Office of Cancer Genomics (OCG). CGEMS is a resource for the strategic partnerships between intramural and extramural groups that are joining forces to incorporate genomic and other emerging technologies in large-scale epidemiologic studies. CGEMS promises to provide new insights into the genetics of carcinogenesis, and point the way to novel strategies for meeting the 2015 Challenge Goal by accelerating the prevention, early detection, and treatment of cancer.

A major goal of CGEMS is to make study findings publicly accessible within four months after completion of genotyping through the NCI’s Cancer Biomedical Informatics Grid (caBIG). This access will ensure rapid sharing of results in order to stimulate further analytical and methodological use of the dataset by the extramural scientific community and point to genomic regions which can be followed up by all investigators.

The initial whole genome scan of 550K SNPs for breast cancer will be conducted using specimens from other cohorts. The Women’s Health Initiative (WHI) Observation Study specimens will be used in the first replication/follow-up stage, that will involve approximately 30K SNPs selected on the basis of the initial whole genome scan. The first replication stage will include approximately 2952 cases of pathologically confirmed breast cancer among Caucasian women and approximately 2952 controls matched for age, ethnicity (Caucasians of European descent), date of WHI enrollment, prevalent disease status at enrollment, and hysterectomy status.

The samples obtained from WHI wiill be genotyped by the NCI with about 30,000 SNPs (based on position in the coordinated follow-up studies) that are expected to emerge from the analysis of the initial whole genome scan described above. These SNPs will be analyzed in the NCI’s Core Genotyping Facility using commercially available, high-throughput genotyping technology from Illumina, Inc.

After the initial analysis, the most significant genomic regions of interest will advance to the next refinement stage. Additional SNPs may be added to further define regions of interest. These additional SNPs will be genotyped on the same FHCRC data set to refine the position of loci that confer susceptibility to breast cancer.

Selection Criteria

Cases:

  • 2,956 invasive breast cancer cases as of Sept. 2005, confirmed by SEER coding
  • Observation Study participant
  • Consented for genetic studies
  • Caucasian

Controls matched by

  • Age
  • Ethnicity (Caucasians of European descent),
  • Date of WHI enrollment,
  • Prevalent disease status at enrollment, and
  • Hysterectomy status.

Results/Findings See publications: 874, 906, 907, 1104. For a complete, up-to-date list of WHI papers related to this ancillary study, please use the searchable Papers section of this website.

Related Papers

Newly discovered breast cancer susceptibility loci on 3p24 and 17q23.2

Shahana Ahmed et al., 2009/3 PubMed #19330027 MSID: 907
Genome-wide association studies (GWAS) have identified seven breast cancer susceptibility loci, but these explain only a small fraction of the familial risk of the disease. Five of these loci were identified through a two-stage GWAS involving 390 familial cases and 364 controls in the first stage, and 3,990 cases and 3,916 controls in the second stage. To identify additional loci, we tested over 800 promising associations from this GWAS in a further two stages involving 37,012 cases and 40,069 c...
Keywords: None Provided
Related Studies: M3

A multistage genome-wide association study in breast cancer identifies two new risk alleles at 1p11.2 and 14q24.1 (RAD51L1)

Gilles Thomas et al., 2009/3 PubMed #19330030 MSID: 874
We conducted a three-stage genome-wide association study (GWAS) of breast cancer in 9,770 cases and 10,799 controls in the Cancer Genetic Markers of Susceptibility (CGEMS) initiative. In stage 1, we genotyped 528,173 SNPs in 1,145 cases of invasive breast cancer and 1,142 controls. In stage 2, we analyzed 24,909 top SNPs in 4,547 cases and 4,434 controls. In stage 3, we investigated 21 loci in 4,078 cases and 5,223 controls. Two new loci achieved genome-wide significance. A pericentromeric SNP o...
Keywords: None Provided
Related Studies: M3

A genome-wide association scan for breast cancer markers that interact with FGFR2

Approved Manuscript, Yen, Yu-Chen et al., 2009/10 MSID: 1109
Keywords: None Provided
Related Studies: M3

Performance of common genetic variants in breast-cancer risk models

Sholom Wacholder et al., 2010/3 PubMed #20237344 MSID: 906
Genomewide association studies have identified multiple genetic variants associated with breast cancer. The extent to which these variants add to existing risk-assessment models is unknown.We used information on traditional risk factors and 10 common genetic variants associated with breast cancer in 5590 case subjects and 5998 control subjects, 50 to 79 years of age, from four U.S. cohort studies and one case-control study from Poland to fit models of the absolute risk of breast cancer. With the...
Keywords: None Provided
Related Studies: M3

Pooled versus individual genotyping in a breast cancer genome-wide association study

Ying Huang et al., 2010/9 PubMed #20718042 MSID: 1104
We examine the measurement properties of pooled DNA odds ratio estimates for 7,357 single nucleotide polymorphisms (SNPs) genotyped in a genome-wide association study of postmenopausal breast cancer. This study involved DNA pools formed from 125 cases or 125 matched controls. Individual genotyping for these SNPs subsequently came available for a substantial majority of women included in seven pool pairs, providing the opportunity for a comparison of pooled DNA and individual odds ratio estimates...
Keywords: Gwas; Dna Pooling
Related Studies: BA2, M3, W7

The effect of genetic variants on the relationship between statins and breast cancer in postmenopausal women in the Women’s Health Initiative observational study

Cathryn Bock et al., 2017/10 PubMed #29063981 MSID: 1814
PURPOSE: Statins have been postulated to have chemopreventive activity against breast cancer. We evaluated whether germline genetic polymorphisms modified the relationship between statins and breast cancer risk using data from the Women's Health Initiative. We evaluated these interactions using both candidate gene and agnostic genome-wide approaches. METHODS: To identify candidate gene-statin interactions, we tested interactions between 22 SNPS in nine candidate genes implicated in the effect of...
Keywords: Breast Cancer; Cholesterol; Gwas; Snps; Statins
Related Studies: M3