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Grant Details

Grant Number: 5R01CA201407-05 Interpret this number
Primary Investigator: Peters, Ulrike
Organization: Fred Hutchinson Cancer Research Center
Project Title: Using Functional Genomics to Inform Gene Environment Interactions for Colorectal Cancer
Fiscal Year: 2020


PROJECT SUMMARY/ABSTRACT Colorectal cancer (CRC) is a complex disease with both genetic (G) and environmental (E) risk factors contributing to susceptibility. Genome-wide GxE interaction scans (GWIS) can help identify novel susceptibility loci and biologically meaningful GxE interactions that point to new carcinogenic mechanisms. Limited statistical power remains a primary concern in GxE analyses. To maximize the statistical power in a GWIS, it is essential to have the largest possible sample size by pooling resources across studies. In this project, we will combine the resources of three existing CRC consortia (approximately 53,600 cases and 52,400 controls of European descent): the Colorectal Cancer Family Registry (CCFR), the Colorectal Cancer Transdisciplinary (CORECT) Study, and the Genetics and Epidemiology of Colorectal Cancer Consortium (GECCO) for interaction testing with 8 environmental and lifestyle factors: alcohol, calcium, folate, hormone replacement therapy (HRT), non- steroidal anti-inflammatory drugs (NSAIDs), red meat, processed meat, and smoking. To improve statistical power and enhance our ability to discover true GxE associations, we will as part of Aim 1 incorporate functional genomics data in two forms: (1) enhancer/promoter profiles derived from ChIPseq and DNase I hypersensitive sites (DHS) data publicly available from Roadmap or from our own experiments in normal colon tissue; and (2) our newly generated RNA-Seq results from normal colon biopsies with detailed environmental and lifestyle risk factor information, and gene expression measured in normal human 3D colon organoids (“mini guts”) in response to environmental exposures. In Aim 2 we will use our novel statistical methods that can incorporate the CR and E-specific functional genomics data generated in Aim 1 to discover new GxE interaction for CRC with rare and common single nucleotide variants (down to MAF 0.1%) in up to 53,600 cases and 52,400 controls. To narrow in on the underlying causal variant(s) for any identified novel GxE interaction, we will conduct fine-mapping analyses using a trans-ethnic meta-analysis (23,500 non-European and 106,000 European). To follow-up on identified significant GxE interactions, we will functionally validate our strongest GxE interactions (including previously published findings) to provide support for the novel GxE interactions such as knock down in CRC cell lines and normal human 3D colon epithelial organoids. Our large and well-characterized study population, combined with our experienced research team, and integration of functional genomics data into our novel statistical methods provide opportunities to better understand how genetic and environmental risk factors, combined, contribute to individual risk of CRC. Discovering GxE interactions will provide insight into the underlying mechanisms that drive gene-CRC associations impacted by established environmental risk factors. Since genetic profiles are fixed, modifying environmental exposures to alter deleterious effects of alleles remains an important preventive strategy.


A Combined Proteomics and Mendelian Randomization Approach to Investigate the Effects of Aspirin-Targeted Proteins on Colorectal Cancer.
Authors: Nounu A. , Greenhough A. , Heesom K.J. , Richmond R.C. , Zheng J. , Weinstein S.J. , Albanes D. , Baron J.A. , Hopper J.L. , Figueiredo J.C. , et al. .
Source: Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 2021 Mar; 30(3), p. 564-575.
EPub date: 2020-12-14.
PMID: 33318029
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Source: Gastroenterology, 2021 Mar; 160(4), p. 1164-1178.e6.
EPub date: 2020-10-12.
PMID: 33058866
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Source: Journal of the National Cancer Institute, 2021-01-04; 113(1), p. 38-47.
PMID: 32324875
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Source: Human mutation, 2021 Jan; 42(1), p. 77-88.
EPub date: 2020-11-22.
PMID: 33169458
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Authors: Hidaka A. , Harrison T.A. , Cao Y. , Sakoda L.C. , Barfield R. , Giannakis M. , Song M. , Phipps A.I. , Figueiredo J.C. , Zaidi S.H. , et al. .
Source: Cancer research, 2020-10-15; 80(20), p. 4578-4590.
EPub date: 2020-08-14.
PMID: 32816852
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Source: BMC medicine, 2020-09-03; 18(1), p. 229.
EPub date: 2020-09-03.
PMID: 32878631
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Authors: Wang X. , Su Y.R. , Petersen P.S. , Bien S. , Schmit S.L. , Drew D.A. , Albanes D. , Berndt S.I. , Brenner H. , Campbell P.T. , et al. .
Source: Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 2020 Sep; 29(9), p. 1800-1808.
EPub date: 2020-07-10.
PMID: 32651213
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Source: PLoS genetics, 2020 08; 16(8), p. e1008947.
EPub date: 2020-08-24.
PMID: 32833970
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Source: Journal of community health, 2020 08; 45(4), p. 803-811.
PMID: 32144608
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Authors: Xia Z. , Su Y.R. , Petersen P. , Qi L. , Kim A.E. , Figueiredo J.C. , Lin Y. , Nan H. , Sakoda L.C. , Albanes D. , et al. .
Source: Cancer medicine, 2020 05; 9(10), p. 3563-3573.
EPub date: 2020-03-24.
PMID: 32207560
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Authors: Khankari N.K. , Banbury B.L. , Borges M.C. , Haycock P. , Albanes D. , Arndt V. , Berndt S.I. , Bézieau S. , Brenner H. , Campbell P.T. , et al. .
Source: Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 2020 04; 29(4), p. 860-870.
EPub date: 2020-02-12.
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Authors: Murphy N. , Carreras-Torres R. , Song M. , Chan A.T. , Martin R.M. , Papadimitriou N. , Dimou N. , Tsilidis K.K. , Banbury B. , Bradbury K.E. , et al. .
Source: Gastroenterology, 2020 04; 158(5), p. 1300-1312.e20.
EPub date: 2019-12-27.
PMID: 31884074
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EPub date: 2019-12-19.
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EPub date: 2019-06-07.
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EPub date: 2020-01-30.
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Source: PloS one, 2020; 15(1), p. e0227116.
EPub date: 2020-01-17.
PMID: 31951625
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Source: Genetic epidemiology, 2019 10; 43(7), p. 844-863.
EPub date: 2019-08-13.
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EPub date: 2019-02-28.
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EPub date: 2018-11-19.
PMID: 30456811
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EPub date: 2019-01-25.
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EPub date: 2018-12-03.
PMID: 30510241
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Source: American journal of epidemiology, 2017-10-01; 186(7), p. 762-770.
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Source: American journal of epidemiology, 2017-10-01; 186(7), p. 771-777.
PMID: 28978191
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Source: American journal of epidemiology, 2017-10-01; 186(7), p. 778-786.
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