Grant Details
Grant Number: |
5R01CA211574-05 Interpret this number |
Primary Investigator: |
Schildkraut, Joellen |
Organization: |
Emory University |
Project Title: |
Genomic and Transcriptomic Analysis of Breast and Ovarian Cancers |
Fiscal Year: |
2022 |
Abstract
ABSTRACT
Ovarian and breast cancers share common genetic and lifestyle/environmental factors. GWAS have identified
more than a hundred genomic regions containing common variants associated with risks of these cancers,
several of which confer risks to both cancers. The molecular features of the aggressive subtypes of these
cancers--high grade serous ovarian cancer (HGSOC) and estrogen receptor (ER) negative breast cancer—are
also remarkably similar, suggesting common genetic and biological mechanisms driving disease development.
In the current proposal, we aim to focus on pleiotropic mechanisms underlying susceptibility to ovarian and
breast cancer, through tissue-specific transcription-wide analysis of gene expression associated with common
variant risk alleles for ovarian and breast cancer identified by GWAS. We will apply a new gene-based
association method, PrediXcan, to test the molecular mechanisms through which genetic variation affects
ovarian and breast cancer development. The proposed integration of germline genetic data with annotation of
whole genome transcription in the relevant tissue types effectively reduces the multiple testing burden faced by
GWAS by grouping together multiple risk loci at the gene-level, and further simplifies additional
characterization of implicated pathways. We hypothesize that the biological relevance of predictors provided by
PrediXcan will allow us to overcome tumor heterogeneity and identify novel genes/pathways for ovarian and
breast cancer. We then propose performing functional analyses in experimental models of breast and ovarian
cancer to validate the genes and pathways we identify using PrediXcan.
This proposal incorporates novel methodology integrating multiple sources of genomic and transcriptomic data
to identify the role of genetically regulated gene expression traits in the pathogenesis of ovarian and breast
cancers. Mortality is highest for the specific subtypes of these cancers that we will focus on, since the
mechanisms underlying the pathogenesis of these cancer subtypes are poorly understood. Genotype and
phenotype data from the GAME-ON, OCAC and BCAC consortia, along with the publicly available datasets,
TCGA, METABRIC and GTEx, represent a unique opportunity to apply the PrediXcan approach in a large-
scale for a well-defined group of cases and controls with high quality epidemiologic data resources .
Publications
Cis- and trans-eQTL TWASs of breast and ovarian cancer identify more than 100 susceptibility genes in the BCAC and OCAC consortia.
Authors: Head S.T.
, Dezem F.
, Todor A.
, Yang J.
, Plummer J.
, Gayther S.
, Kar S.
, Schildkraut J.
, Epstein M.P.
.
Source: American Journal Of Human Genetics, 2024-06-06 00:00:00.0; 111(6), p. 1084-1099.
EPub date: 2024-05-08 00:00:00.0.
PMID: 38723630
Related Citations
A multi-tissue, splicing-based joint transcriptome-wide association study identifies susceptibility genes for breast cancer.
Authors: Gao G.
, McClellan J.
, Barbeira A.N.
, Fiorica P.N.
, Li J.L.
, Mu Z.
, Olopade O.I.
, Huo D.
, Im H.K.
.
Source: American Journal Of Human Genetics, 2024-05-08 00:00:00.0; , .
EPub date: 2024-05-08 00:00:00.0.
PMID: 38733992
Related Citations
Fallopian tube single cell analysis reveals myeloid cell alterations in high-grade serous ovarian cancer.
Authors: Brand J.
, Haro M.
, Lin X.
, Rimel B.J.
, McGregor S.M.
, Lawrenson K.
, Dinh H.Q.
.
Source: Iscience, 2024-03-15 00:00:00.0; 27(3), p. 108990.
EPub date: 2024-01-23 00:00:00.0.
PMID: 38384837
Related Citations
Mapping inherited genetic variation with opposite effects on autoimmune disease and cancer identifies candidate drug targets associated with the anti-tumor immune response.
Authors: Chen J.
, Epstein M.P.
, Schildkraut J.M.
, Kar S.P.
.
Source: Medrxiv : The Preprint Server For Health Sciences, 2023-12-28 00:00:00.0; , .
EPub date: 2023-12-28 00:00:00.0.
PMID: 38234717
Related Citations
Cis- and trans-eQTL TWAS of breast and ovarian cancer identify more than 100 risk associated genes in the BCAC and OCAC consortia.
Authors: Head S.T.
, Dezem F.
, Todor A.
, Yang J.
, Plummer J.
, Gayther S.
, Kar S.
, Schildkraut J.
, Epstein M.P.
.
Source: Biorxiv : The Preprint Server For Biology, 2023-11-13 00:00:00.0; , .
EPub date: 2023-11-13 00:00:00.0.
PMID: 38014246
Related Citations
The tumor multi-omic landscape of endometrial cancers developed on a germline genetic background of adiposity.
Authors: Richenberg G.
, Francis A.
, Owen C.N.
, Gray V.
, Robinson T.
, Gabriel A.A.
, Lawrenson K.
, Crosbie E.J.
, Schildkraut J.M.
, Mckay J.D.
, et al.
.
Source: Medrxiv : The Preprint Server For Health Sciences, 2023-10-10 00:00:00.0; , .
EPub date: 2023-10-10 00:00:00.0.
PMID: 37873386
Related Citations
Predicted Proteome Association Studies of Breast, Prostate, Ovarian, and Endometrial Cancers Implicate Plasma Protein Regulation in Cancer Susceptibility.
Authors: Gregga I.
, Pharoah P.D.P.
, Gayther S.A.
, Manichaikul A.
, Im H.K.
, Kar S.P.
, Schildkraut J.M.
, Wheeler H.E.
.
Source: Cancer Epidemiology, Biomarkers & Prevention : A Publication Of The American Association For Cancer Research, Cosponsored By The American Society Of Preventive Oncology, 2023-09-01 00:00:00.0; 32(9), p. 1198-1207.
PMID: 37409955
Related Citations
POIROT: a powerful test for parent-of-origin effects in unrelated samples leveraging multiple phenotypes.
Authors: Head S.T.
, Leslie E.J.
, Cutler D.J.
, Epstein M.P.
.
Source: Bioinformatics (oxford, England), 2023-04-03 00:00:00.0; 39(4), .
PMID: 37067493
Related Citations
Pleiotropy-guided transcriptome imputation from normal and tumor tissues identifies candidate susceptibility genes for breast and ovarian cancer.
Authors: Kar S.P.
, Considine D.P.C.
, Tyrer J.P.
, Plummer J.T.
, Chen S.
, Dezem F.S.
, Barbeira A.N.
, Rajagopal P.S.
, Rosenow W.T.
, Moreno F.
, et al.
.
Source: Hgg Advances, 2021-07-08 00:00:00.0; 2(3), .
EPub date: 2021-06-16 00:00:00.0.
PMID: 34317694
Related Citations
Transcription factors in epithelial ovarian cancer: histotype-specific drivers and novel therapeutic targets.
Authors: Nameki R.
, Chang H.
, Reddy J.
, Corona R.I.
, Lawrenson K.
.
Source: Pharmacology & Therapeutics, 2021 04; 220, p. 107722.
EPub date: 2020-11-01 00:00:00.0.
PMID: 33137377
Related Citations
Genetically predicted circulating protein biomarkers and ovarian cancer risk.
Authors: Considine D.P.C.
, Jia G.
, Shu X.
, Schildkraut J.M.
, Pharoah P.D.P.
, Zheng W.
, Kar S.P.
, Ovarian Cancer Association Consortium
.
Source: Gynecologic Oncology, 2020-11-24 00:00:00.0; , .
EPub date: 2020-11-24 00:00:00.0.
PMID: 33246661
Related Citations
Ovarian Cancer Risk Variants Are Enriched in Histotype-Specific Enhancers and Disrupt Transcription Factor Binding Sites.
Authors: Jones M.R.
, Peng P.C.
, Coetzee S.G.
, Tyrer J.
, Reyes A.L.P.
, Corona R.I.
, Davis B.
, Chen S.
, Dezem F.
, Seo J.H.
, et al.
.
Source: American Journal Of Human Genetics, 2020-10-01 00:00:00.0; 107(4), p. 622-635.
EPub date: 2020-09-17 00:00:00.0.
PMID: 32946763
Related Citations
A transcriptome-wide association study among 97,898 women to identify candidate susceptibility genes for epithelial ovarian cancer risk.
Authors: Lu Y.
, Beeghly-Fadiel A.
, Wu L.
, Guo X.
, Li B.
, Schildkraut J.M.
, Im H.K.
, Chen Y.A.
, Permuth J.B.
, Reid B.M.
, et al.
.
Source: Cancer Research, 2018-07-27 00:00:00.0; , .
EPub date: 2018-07-27 00:00:00.0.
PMID: 30054336
Related Citations