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Cancer Epidemiology, Biomarkers & Prevention
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Null Results in Brief

No Evidence of Gene–Calcium Interactions from Genome-Wide Analysis of Colorectal Cancer Risk

Mengmeng Du, Xuehong Zhang, Michael Hoffmeister, Robert E. Schoen, John A. Baron, Sonja I. Berndt, Hermann Brenner, Christopher S. Carlson, Graham Casey, Andrew T. Chan, Keith R. Curtis, David Duggan, W. James Gauderman, Edward L. Giovannucci, Jian Gong, Tabitha A. Harrison, Richard B. Hayes, Brian E. Henderson, John L. Hopper, Li Hsu, Thomas J. Hudson, Carolyn M. Hutter, Mark A. Jenkins, Shuo Jiao, Jonathan M. Kocarnik, Laurence N. Kolonel, Loic Le Marchand, Yi Lin, Polly A. Newcomb, Anja Rudolph, Daniela Seminara, Mark D. Thornquist, Cornelia M. Ulrich, Emily White, Kana Wu, Brent W. Zanke, Peter T. Campbell, Martha L. Slattery, Ulrike Peters, Jenny Chang-Claude and John D. Potter
Mengmeng Du
1Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington.
2School of Public Health, University of Washington, Seattle, Washington.
3Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts.
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  • For correspondence: mdu@fhcrc.org
Xuehong Zhang
3Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts.
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Michael Hoffmeister
4Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany.
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Robert E. Schoen
5Department of Medicine and Epidemiology, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania.
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John A. Baron
6Department of Medicine, School of Medicine, University of North Carolina, Chapel Hill, North Carolina.
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Sonja I. Berndt
7Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland.
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Hermann Brenner
4Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany.
8German Cancer Consortium (DKTK), Heidelberg, Germany.
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Christopher S. Carlson
1Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington.
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Graham Casey
9Department of Preventive Medicine, University of Southern California, Los Angeles, California.
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Andrew T. Chan
3Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts.
10Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts.
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Keith R. Curtis
1Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington.
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David Duggan
11Genetic Basis of Human Disease, Translational Genomics Research Institute (TGen), Phoenix, Arizona.
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W. James Gauderman
12Keck School of Medicine, University of Southern California, Los Angeles, California.
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Edward L. Giovannucci
3Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts.
13Departments of Epidemiology and Nutrition, Harvard School of Public Health, Boston, Massachusetts.
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Jian Gong
1Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington.
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Tabitha A. Harrison
1Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington.
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Richard B. Hayes
14Division of Epidemiology, Department of Population Health, New York University School of Medicine, New York, New York.
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Brian E. Henderson
12Keck School of Medicine, University of Southern California, Los Angeles, California.
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John L. Hopper
15Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia.
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Li Hsu
1Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington.
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Thomas J. Hudson
16Ontario Institute for Cancer Research, Toronto, Ontario, Canada.
17Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada.
18Department of Molecular Genetics, University of Toronto, Toronto, Ontario, Canada.
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Carolyn M. Hutter
1Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington.
19Division of Cancer Control and Population Sciences, National Cancer Institute, Bethesda, Maryland.
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Mark A. Jenkins
15Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia.
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Shuo Jiao
1Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington.
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Jonathan M. Kocarnik
1Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington.
2School of Public Health, University of Washington, Seattle, Washington.
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Laurence N. Kolonel
20Epidemiology Program, University of Hawaii Cancer Center, Honolulu, Hawaii.
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Loic Le Marchand
20Epidemiology Program, University of Hawaii Cancer Center, Honolulu, Hawaii.
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Yi Lin
1Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington.
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Polly A. Newcomb
1Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington.
2School of Public Health, University of Washington, Seattle, Washington.
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Anja Rudolph
21Division of Cancer Epidemiology, Unit of Genetic Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.
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Daniela Seminara
19Division of Cancer Control and Population Sciences, National Cancer Institute, Bethesda, Maryland.
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Mark D. Thornquist
1Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington.
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Cornelia M. Ulrich
1Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington.
2School of Public Health, University of Washington, Seattle, Washington.
22Division of Preventive Oncology, German Cancer Research Center (DKFZ) and National Center for Tumor Diseases (NCT), Heidelberg, Germany.
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Emily White
1Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington.
2School of Public Health, University of Washington, Seattle, Washington.
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Kana Wu
13Departments of Epidemiology and Nutrition, Harvard School of Public Health, Boston, Massachusetts.
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Brent W. Zanke
23Division of Hematology, Faculty of Medicine, The University of Ottawa, Ottawa, Ontario, Canada.
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Peter T. Campbell
24Epidemiology Research Program, American Cancer Society, Atlanta, Georgia.
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Martha L. Slattery
25Department of Internal Medicine, University of Utah Health Sciences Center, Salt Lake City, Utah.
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Ulrike Peters
1Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington.
2School of Public Health, University of Washington, Seattle, Washington.
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Jenny Chang-Claude
19Division of Cancer Control and Population Sciences, National Cancer Institute, Bethesda, Maryland.
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John D. Potter
1Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington.
2School of Public Health, University of Washington, Seattle, Washington.
26Centre for Public Health Research, Massey University, Wellington, New Zealand.
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DOI: 10.1158/1055-9965.EPI-14-0893 Published December 2014
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    Figure 1.

    Association between calcium intake and risk of colorectal cancer. Odds ratios (ORs) and 95% confidence intervals correspond to each quartile increase in A) total calcium intake (mg/d), B) dietary calcium intake (mg/d), and C) supplemental calcium intake (≥500 versus <500 mg/d). Total and dietary calcium intake were coded as sex- and study-specific quartiles based on cutoff points in controls, and modeled as an ordinal variable. Estimates adjusted for age (continuous), sex (F/M), study center (indicators), and energy consumption (continuous). CC, case–control; lower/upper, lower and upper bounds of 95% CI.

Tables

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  • Table 1.

    SNP with smallest P for interaction with total, dietary, or supplemental calcium for colorectal cancer risk

    Interaction resultsb,c
    Calcium analysisSNP with smallest P for interactionLocusPosition (bp)aFunction classGenetic regionMinor alleleAlt alleleMAFMean RsqVariableOR-int (95% CI)PPhet
    Totalrs19337556q23.1130925767IntergenicTMEM200A/EPB41L2CT0.100.93Total0.84 (0.78–0.90)1.5E−064.1E−01
    Dietary0.86 (0.80–0.92)5.2E−053.2E−01
    Suppl0.81 (0.65–1.02)7.4E−025.5E−01
    Dietaryrs68558854q22.192039007IntronicFAM190AAG0.500.94Total1.09 (1.04–1.13)9.0E−052.5E−01
    Dietary1.11 (1.06–1.16)1.9E−065.5E−01
    Suppl0.93 (0.81–1.07)3.0E−012.4E−01
    Supplementalrs10281664q34.3182813298IntergenicAGA/TENM3GA0.310.85Total1.07 (1.02–1.12)6.7E−033.8E−01
    Dietary1.02 (0.97–1.07)5.2E−017.4E−01
    Suppl1.49 (1.27–1.74)7.3E−072.9E−01

    Abbreviations: Alt, alternate; MAF, minor allele frequency; OR-int, odds ratio for interaction; Phet, P for heterogeneity across studies; Rsq, imputation Rsq.

    • ↵aOn the basis of NCBI build 37 data.

    • ↵bCorresponds to each additional copy of the minor allele (i.e., assuming additive genetic effects) and each quartile increase in calcium intake (total, dietary) or ≥500 versus <500 mg/d (supplemental). Genotyped SNPs were modeled as 0, 1, or 2 copies of the minor allele; imputed SNPs were modeled as the expected number of copies of the minor allele (the genotype “dosage”; refs. 3, 7).

    • ↵cOn the basis of multivariable logistic regression adjusted for age (continuous), sex (F/M), study center (indicators), energy consumption (continuous), first 3 principal components of genetic ancestry (continuous), SNP main effect, and calcium main effect.

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Cancer Epidemiology Biomarkers & Prevention: 23 (12)
December 2014
Volume 23, Issue 12
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No Evidence of Gene–Calcium Interactions from Genome-Wide Analysis of Colorectal Cancer Risk
Mengmeng Du, Xuehong Zhang, Michael Hoffmeister, Robert E. Schoen, John A. Baron, Sonja I. Berndt, Hermann Brenner, Christopher S. Carlson, Graham Casey, Andrew T. Chan, Keith R. Curtis, David Duggan, W. James Gauderman, Edward L. Giovannucci, Jian Gong, Tabitha A. Harrison, Richard B. Hayes, Brian E. Henderson, John L. Hopper, Li Hsu, Thomas J. Hudson, Carolyn M. Hutter, Mark A. Jenkins, Shuo Jiao, Jonathan M. Kocarnik, Laurence N. Kolonel, Loic Le Marchand, Yi Lin, Polly A. Newcomb, Anja Rudolph, Daniela Seminara, Mark D. Thornquist, Cornelia M. Ulrich, Emily White, Kana Wu, Brent W. Zanke, Peter T. Campbell, Martha L. Slattery, Ulrike Peters, Jenny Chang-Claude and John D. Potter on behalf of the Colon Cancer Family Registry and Genetics and Epidemiology of Colorectal Cancer Consortium
Cancer Epidemiol Biomarkers Prev December 1 2014 (23) (12) 2971-2976; DOI: 10.1158/1055-9965.EPI-14-0893

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No Evidence of Gene–Calcium Interactions from Genome-Wide Analysis of Colorectal Cancer Risk
Mengmeng Du, Xuehong Zhang, Michael Hoffmeister, Robert E. Schoen, John A. Baron, Sonja I. Berndt, Hermann Brenner, Christopher S. Carlson, Graham Casey, Andrew T. Chan, Keith R. Curtis, David Duggan, W. James Gauderman, Edward L. Giovannucci, Jian Gong, Tabitha A. Harrison, Richard B. Hayes, Brian E. Henderson, John L. Hopper, Li Hsu, Thomas J. Hudson, Carolyn M. Hutter, Mark A. Jenkins, Shuo Jiao, Jonathan M. Kocarnik, Laurence N. Kolonel, Loic Le Marchand, Yi Lin, Polly A. Newcomb, Anja Rudolph, Daniela Seminara, Mark D. Thornquist, Cornelia M. Ulrich, Emily White, Kana Wu, Brent W. Zanke, Peter T. Campbell, Martha L. Slattery, Ulrike Peters, Jenny Chang-Claude and John D. Potter on behalf of the Colon Cancer Family Registry and Genetics and Epidemiology of Colorectal Cancer Consortium
Cancer Epidemiol Biomarkers Prev December 1 2014 (23) (12) 2971-2976; DOI: 10.1158/1055-9965.EPI-14-0893
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