Skip to main content
An official website of the United States government
Grant Details

Grant Number: 5U01CA261339-04 Interpret this number
Primary Investigator: Conti, David
Organization: University Of Southern California
Project Title: Leveraging Diversity in Cancer Epidemiology Cohorts and Novel Methods to Improve Polygenic Risk Scores
Fiscal Year: 2024


Abstract

Abstract There are stark differences in the burden of certain cancers across racial/ethnic populations. For example, in comparison to individuals of European ancestry, African American men have a ~67% higher incidence rate of prostate cancer and Asian/Pacific Islander men and women have a 70% and 95% higher incidence rate of liver cancer, respectively. These disparities in the burden of cancer across racial/ethnic groups have been attributed to an interplay of genetic, environmental, and social factors. Despite such disparities, a majority of genetic research has focused on individuals of European ancestry. While genome-wide association studies (GWAS) have successfully identified >1000 risk loci for cancer, they have focused primarily on individuals of European ancestry. The inadequate representation of diverse racial/ethnic populations limits the translational potential of GWAS findings to the world's populations. Applying PRS developed in European ancestry individuals to other populations may result in biased risk prediction, and further exacerbate health disparities due to inaccurate assessment of individuals at high risk of disease. Here, we propose to address the drastic need for appropriate PRS construction and evaluation across multiple race/ethnic groups by applying new PRS approaches to the following six large-scale, longstanding cohorts: the Multiethnic Cohort (MEC); the Kaiser Resource for Genetic Epidemiology Research on Aging (GERA) cohort; the Women's Health Initiative (WHI); the Harvard Nurses Health Studies (NHS); the Harvard Health Professionals Follow-Up Study (HPFS); and the Prostate, Lung, Colorectal and Ovarian Cancer Screening Trial (PLCO). Together, these cohorts include over 300,000 individuals (100,000 non-Europeans) and 91,000 incident cancer cases (24,000 non-Europeans). The individuals in these cohorts are from five racial/ethnic groups: African Americans, Latinos, Japanese, Native Populations, and European ancestry. While focusing on cancer outcomes, we will utilize these unique and extensive resources to develop methods to construct and evaluate PRS, and importantly for translation, estimate absolute and excess relative risk of cancer jointly for PRS and established risk factors in multiethnic populations. To facilitate access to developed pipelines and data resources, we will follow F.A.I.R. analytic principles while participating with the Coordinating Center and other study sites. Ultimately, constructing and evaluating risk models in non-European ancestry populations is essential to broaden the impact of genomic medicine on human health.



Publications

The PRIMED Consortium: Reducing disparities in polygenic risk assessment.
Authors: Kullo I.J. , Conomos M.P. , Nelson S.C. , Adebamowo S.N. , Choudhury A. , Conti D. , Fullerton S.M. , Gogarten S.M. , Heavner B. , Hornsby W.E. , et al. .
Source: American Journal Of Human Genetics, 2024-12-05 00:00:00.0; 111(12), p. 2594-2606.
EPub date: 2024-11-18 00:00:00.0.
PMID: 39561770
Related Citations

Hierarchical joint analysis of marginal summary statistics-Part I: Multipopulation fine mapping and credible set construction.
Authors: Shen J. , Jiang L. , Wang K. , Wang A. , Chen F. , Newcombe P.J. , Haiman C.A. , Conti D.V. .
Source: Genetic Epidemiology, 2024 Sep; 48(6), p. 241-257.
EPub date: 2024-04-12 00:00:00.0.
PMID: 38606643
Related Citations

Hierarchical joint analysis of marginal summary statistics-Part II: High-dimensional instrumental analysis of omics data.
Authors: Jiang L. , Shen J. , Darst B.F. , Haiman C.A. , Mancuso N. , Conti D.V. .
Source: Genetic Epidemiology, 2024-06-17 00:00:00.0; , .
EPub date: 2024-06-17 00:00:00.0.
PMID: 38887957
Related Citations

Multi-ancestry polygenic risk scores for venous thromboembolism.
Authors: Jee Y.H. , Thibord F. , Dominguez A. , Sept C. , Boulier K. , Venkateswaran V. , Ding Y. , Cherlin T. , Verma S.S. , Faro V.L. , et al. .
Source: Human Molecular Genetics, 2024-06-16 00:00:00.0; , .
EPub date: 2024-06-16 00:00:00.0.
PMID: 38879759
Related Citations

Multi-ancestry polygenic risk scores for venous thromboembolism.
Authors: Jee Y.H. , Thibord F. , Dominguez A. , Sept C. , Boulier K. , Venkateswaran V. , Ding Y. , Cherlin T. , Verma S.S. , Faro V.L. , et al. .
Source: Medrxiv : The Preprint Server For Health Sciences, 2024-01-10 00:00:00.0; , .
EPub date: 2024-01-10 00:00:00.0.
PMID: 38260294
Related Citations

Principles and methods for transferring polygenic risk scores across global populations.
Authors: Kachuri L. , Chatterjee N. , Hirbo J. , Schaid D.J. , Martin I. , Kullo I.J. , Kenny E.E. , Pasaniuc B. , Polygenic Risk Methods in Diverse Populations (PRIMED) Consortium Methods Working Group , Witte J.S. , et al. .
Source: Nature Reviews. Genetics, 2024 Jan; 25(1), p. 8-25.
EPub date: 2023-08-24 00:00:00.0.
PMID: 37620596
Related Citations

Characterizing prostate cancer risk through multi-ancestry genome-wide discovery of 187 novel risk variants.
Authors: Wang A. , Shen J. , Rodriguez A.A. , Saunders E.J. , Chen F. , Janivara R. , Darst B.F. , Sheng X. , Xu Y. , Chou A.J. , et al. .
Source: Nature Genetics, 2023-11-09 00:00:00.0; , .
EPub date: 2023-11-09 00:00:00.0.
PMID: 37945903
Related Citations

Combining Asian and European genome-wide association studies of colorectal cancer improves risk prediction across racial and ethnic populations.
Authors: Thomas M. , Su Y.R. , Rosenthal E.A. , Sakoda L.C. , Schmit S.L. , Timofeeva M.N. , Chen Z. , Fernandez-Rozadilla C. , Law P.J. , Murphy N. , et al. .
Source: Nature Communications, 2023-10-02 00:00:00.0; 14(1), p. 6147.
EPub date: 2023-10-02 00:00:00.0.
PMID: 37783704
Related Citations

Relationship between ABO blood group alleles and pancreatic cancer is modulated by secretor (FUT2) genotype, but not Lewis antigen (FUT3) genotype.
Authors: Kim J. , Yuan C. , Amundadottir L.T. , Wolpin B.M. , Klein A.P. , Risch H.A. , Kraft P. .
Source: Cancer Epidemiology, Biomarkers & Prevention : A Publication Of The American Association For Cancer Research, Cosponsored By The American Society Of Preventive Oncology, 2023-06-21 00:00:00.0; , .
EPub date: 2023-06-21 00:00:00.0.
PMID: 37342060
Related Citations

Genetically adjusted PSA levels for prostate cancer screening.
Authors: Kachuri L. , Hoffmann T.J. , Jiang Y. , Berndt S.I. , Shelley J.P. , Schaffer K.R. , Machiela M.J. , Freedman N.D. , Huang W.Y. , Li S.A. , et al. .
Source: Nature Medicine, 2023-06-01 00:00:00.0; , .
EPub date: 2023-06-01 00:00:00.0.
PMID: 37264206
Related Citations

Causal effects on complex traits are similar for common variants across segments of different continental ancestries within admixed individuals.
Authors: Hou K. , Ding Y. , Xu Z. , Wu Y. , Bhattacharya A. , Mester R. , Belbin G.M. , Buyske S. , Conti D.V. , Darst B.F. , et al. .
Source: Nature Genetics, 2023-03-20 00:00:00.0; , .
EPub date: 2023-03-20 00:00:00.0.
PMID: 36941441
Related Citations

Genome-Wide Analyses Characterize Shared Heritability Among Cancers and Identify Novel Cancer Susceptibility Regions.
Authors: Lindström S. , Wang L. , Feng H. , Majumdar A. , Huo S. , Macdonald J. , Harrison T. , Turman C. , Chen H. , Mancuso N. , et al. .
Source: Journal Of The National Cancer Institute, 2023-03-17 00:00:00.0; , .
EPub date: 2023-03-17 00:00:00.0.
PMID: 36929942
Related Citations

RE: Polygenic risk of any, metastatic, and fatal prostate cancer in the Million Veteran Program.
Authors: Haiman C.A. , Kote-Jarai Z. , Darst B.F. , Conti D.V. .
Source: Journal Of The National Cancer Institute, 2023-03-09 00:00:00.0; 115(3), p. 341-342.
PMID: 36629487
Related Citations

Evidence of Novel Susceptibility Variants for Prostate Cancer and a Multiancestry Polygenic Risk Score Associated with Aggressive Disease in Men of African Ancestry.
Authors: Chen F. , Madduri R.K. , Rodriguez A.A. , Darst B.F. , Chou A. , Sheng X. , Wang A. , Shen J. , Saunders E.J. , Rhie S.K. , et al. .
Source: European Urology, 2023-02-27 00:00:00.0; , .
EPub date: 2023-02-27 00:00:00.0.
PMID: 36872133
Related Citations

Combining Asian-European Genome-Wide Association Studies of Colorectal Cancer Improves Risk Prediction Across Race and Ethnicity.
Authors: Thomas M. , Su Y.R. , Rosenthal E.A. , Sakoda L.C. , Schmit S.L. , Timofeeva M.N. , Chen Z. , Fernandez-Rozadilla C. , Law P.J. , Murphy N. , et al. .
Source: Medrxiv : The Preprint Server For Health Sciences, 2023-01-19 00:00:00.0; , .
EPub date: 2023-01-19 00:00:00.0.
PMID: 36789420
Related Citations

Polygenic risk scores for prediction of breast cancer in Korean women.
Authors: Jee Y.H. , Ho W.K. , Park S. , Easton D.F. , Teo S.H. , Jung K.J. , Kraft P. .
Source: International Journal Of Epidemiology, 2022-11-07 00:00:00.0; , .
EPub date: 2022-11-07 00:00:00.0.
PMID: 36343017
Related Citations

Association of Prostate-Specific Antigen Levels with Prostate Cancer Risk in a Multiethnic Population: Stability over Time and Comparison with Polygenic Risk Score.
Authors: Chou A. , Darst B.F. , Wilkens L.R. , Le Marchand L. , Lilja H. , Conti D.V. , Haiman C.A. .
Source: Cancer Epidemiology, Biomarkers & Prevention : A Publication Of The American Association For Cancer Research, Cosponsored By The American Society Of Preventive Oncology, 2022-09-20 00:00:00.0; , .
EPub date: 2022-09-20 00:00:00.0.
PMID: 36126957
Related Citations

Testing the generalizability of ancestry-specific polygenic risk scores to predict prostate cancer in sub-Saharan Africa.
Authors: Kim M.S. , Naidoo D. , Hazra U. , Quiver M.H. , Chen W.C. , Simonti C.N. , Kachambwa P. , Harlemon M. , Agalliu I. , Baichoo S. , et al. .
Source: Genome Biology, 2022-09-13 00:00:00.0; 23(1), p. 194.
EPub date: 2022-09-13 00:00:00.0.
PMID: 36100952
Related Citations

A multi-layer functional genomic analysis to understand noncoding genetic variation in lipids.
Authors: Ramdas S. , Judd J. , Graham S.E. , Kanoni S. , Wang Y. , Surakka I. , Wenz B. , Clarke S.L. , Chesi A. , Wells A. , et al. .
Source: American Journal Of Human Genetics, 2022-08-04 00:00:00.0; 109(8), p. 1366-1387.
PMID: 35931049
Related Citations

Multi-ancestry fine-mapping improves precision to identify causal genes in transcriptome-wide association studies.
Authors: Lu Z. , Gopalan S. , Yuan D. , Conti D.V. , Pasaniuc B. , Gusev A. , Mancuso N. .
Source: American Journal Of Human Genetics, 2022-08-04 00:00:00.0; 109(8), p. 1388-1404.
PMID: 35931050
Related Citations

Validation of a multi-ancestry polygenic risk score and age-specific risks of prostate cancer: a meta-analysis within diverse populations.
Authors: Chen F. , Darst B.F. , Madduri R.K. , Rodriguez A.A. , Sheng X. , Rentsch C.T. , Andrews C. , Tang W. , Kibel A.S. , Plym A. , et al. .
Source: Elife, 2022-07-08 00:00:00.0; 11, .
EPub date: 2022-07-08 00:00:00.0.
PMID: 35801699
Related Citations

Polygenic Risk Scores for Prediction of Breast Cancer Risk in Women of African Ancestry: a Cross-Ancestry Approach.
Authors: Gao G. , Zhao F. , Ahearn T.U. , Lunetta K.L. , Troester M.A. , Du Z. , Ogundiran T.O. , Ojengbede O. , Blot W. , Nathanson K.L. , et al. .
Source: Human Molecular Genetics, 2022-05-12 00:00:00.0; , .
EPub date: 2022-05-12 00:00:00.0.
PMID: 35554533
Related Citations

Evaluation of a Multiethnic Polygenic Risk Score Model for Prostate Cancer.
Authors: Plym A. , Penney K.L. , Kalia S. , Kraft P. , Conti D.V. , Haiman C. , Mucci L.A. , Kibel A.S. .
Source: Journal Of The National Cancer Institute, 2022-05-09 00:00:00.0; 114(5), p. 771-774.
PMID: 33792693
Related Citations

Ancestral diversity improves discovery and fine-mapping of genetic loci for anthropometric traits-The Hispanic/Latino Anthropometry Consortium.
Authors: Fernández-Rhodes L. , Graff M. , Buchanan V.L. , Justice A.E. , Highland H.M. , Guo X. , Zhu W. , Chen H.H. , Young K.L. , Adhikari K. , et al. .
Source: Hgg Advances, 2022-04-14 00:00:00.0; 3(2), p. 100099.
EPub date: 2022-03-11 00:00:00.0.
PMID: 35399580
Related Citations

A Rare Germline HOXB13 Variant Contributes to Risk of Prostate Cancer in Men of African Ancestry.
Authors: Darst B.F. , Hughley R. , Pfennig A. , Hazra U. , Fan C. , Wan P. , Sheng X. , Xia L. , Andrews C. , Chen F. , et al. .
Source: European Urology, 2022-01-11 00:00:00.0; , .
EPub date: 2022-01-11 00:00:00.0.
PMID: 35031163
Related Citations

Novel strategy for disease risk prediction incorporating predicted gene expression and DNA methylation data: a multi-phased study of prostate cancer.
Authors: Wu C. , Zhu J. , King A. , Tong X. , Lu Q. , Park J.Y. , Wang L. , Gao G. , Deng H.W. , Yang Y. , et al. .
Source: Cancer Communications (london, England), 2021-09-14 00:00:00.0; , .
EPub date: 2021-09-14 00:00:00.0.
PMID: 34520132
Related Citations

Bayesian variable selection with a pleiotropic loss function in Mendelian randomization.
Authors: Gkatzionis A. , Burgess S. , Conti D.V. , Newcombe P.J. .
Source: Statistics In Medicine, 2021-06-21 00:00:00.0; , .
EPub date: 2021-06-21 00:00:00.0.
PMID: 34155684
Related Citations

Combined Effect of a Polygenic Risk Score and Rare Genetic Variants on Prostate Cancer Risk.
Authors: Darst B.F. , Sheng X. , Eeles R.A. , Kote-Jarai Z. , Conti D.V. , Haiman C.A. .
Source: European Urology, 2021-05-01 00:00:00.0; , .
EPub date: 2021-05-01 00:00:00.0.
PMID: 33941403
Related Citations

Trans-ancestry genome-wide association meta-analysis of prostate cancer identifies new susceptibility loci and informs genetic risk prediction.
Authors: Conti D.V. , Darst B.F. , Moss L.C. , Saunders E.J. , Sheng X. , Chou A. , Schumacher F.R. , Olama A.A.A. , Benlloch S. , Dadaev T. , et al. .
Source: Nature Genetics, 2021 Jan; 53(1), p. 65-75.
EPub date: 2021-01-04 00:00:00.0.
PMID: 33398198
Related Citations

Sign-based Shrinkage Based on an Asymmetric LASSO Penalty.
Authors: Kawaguchi E.S. , Darst B.F. , Wang K. , Conti D.V. .
Source: Journal Of Data Science : Jds, 2021; 19(3), p. 429-449.
EPub date: 2021-06-02 00:00:00.0.
PMID: 35222618
Related Citations



Back to Top