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Ochs-Balcom HM, Preus L, Du Z, Elston RC, Teerlink CC, Jia G, Guo X, Cai Q, Long J, Ping J, Li B, Stram DO, Shu XO, Sanderson M, Gao G, Ahearn T, Lunetta KL, Zirpoli G, Troester MA, Ruiz-Narváez EA, Haddad SA, Figueroa J, John EM, Bernstein L, Hu JJ, Ziegler RG, Nyante S, Bandera EV, Ingles SA, Mancuso N, Press MF, Deming SL, Rodriguez-Gil JL, Yao S, Ogundiran TO, Ojengbede O, Bolla MK, Dennis J, Dunning AM, Easton DF, Michailidou K, Pharoah PDP, Sandler DP, Taylor JA, Wang Q, O’Brien KM, Weinberg CR, Kitahara CM, Blot W, Nathanson KL, Hennis A, Nemesure B, Ambs S, Sucheston-Campbell LE, Bensen JT, Chanock SJ, Olshan AF, Ambrosone CB, Olopade OI, the Ghana Breast Health Study Team, Conti DV, Palmer J, García-Closas M, Huo D, Zheng W, Haiman C. Novel breast cancer susceptibility loci under linkage peaks identified in African ancestry consortia. Hum Mol Genet 2024; 33:687-697. [PMID: 38263910 PMCID: PMC11000665 DOI: 10.1093/hmg/ddae002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2023] [Revised: 01/02/2024] [Accepted: 01/03/2024] [Indexed: 01/25/2024] Open
Abstract
BACKGROUND Expansion of genome-wide association studies across population groups is needed to improve our understanding of shared and unique genetic contributions to breast cancer. We performed association and replication studies guided by a priori linkage findings from African ancestry (AA) relative pairs. METHODS We performed fixed-effect inverse-variance weighted meta-analysis under three significant AA breast cancer linkage peaks (3q26-27, 12q22-23, and 16q21-22) in 9241 AA cases and 10 193 AA controls. We examined associations with overall breast cancer as well as estrogen receptor (ER)-positive and negative subtypes (193,132 SNPs). We replicated associations in the African-ancestry Breast Cancer Genetic Consortium (AABCG). RESULTS In AA women, we identified two associations on chr12q for overall breast cancer (rs1420647, OR = 1.15, p = 2.50×10-6; rs12322371, OR = 1.14, p = 3.15×10-6), and one for ER-negative breast cancer (rs77006600, OR = 1.67, p = 3.51×10-6). On chr3, we identified two associations with ER-negative disease (rs184090918, OR = 3.70, p = 1.23×10-5; rs76959804, OR = 3.57, p = 1.77×10-5) and on chr16q we identified an association with ER-negative disease (rs34147411, OR = 1.62, p = 8.82×10-6). In the replication study, the chr3 associations were significant and effect sizes were larger (rs184090918, OR: 6.66, 95% CI: 1.43, 31.01; rs76959804, OR: 5.24, 95% CI: 1.70, 16.16). CONCLUSION The two chr3 SNPs are upstream to open chromatin ENSR00000710716, a regulatory feature that is actively regulated in mammary tissues, providing evidence that variants in this chr3 region may have a regulatory role in our target organ. Our study provides support for breast cancer variant discovery using prioritization based on linkage evidence.
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Affiliation(s)
- Heather M Ochs-Balcom
- Department of Epidemiology and Environmental Health, School of Public Health and Health Professions, University at Buffalo, 270 Farber Hall, Buffalo, NY 14214, United States
| | - Leah Preus
- Department of Epidemiology and Environmental Health, School of Public Health and Health Professions, University at Buffalo, 270 Farber Hall, Buffalo, NY 14214, United States
| | - Zhaohui Du
- Department of Preventive Population and Public Health Sciences, Keck School of Medicine and Norris Comprehensive Cancer Center, University of Southern California, 1450 Biggy Street, Los Angeles, CA 90033, United States
- Public Health Sciences, Fred Hutchinson Cancer Research Center, 1100 Fairview Ave, N. Seattle, WA 98109, United States
| | - Robert C Elston
- Department of Population and Quantitative Health Sciences, Case Western Reserve University, 10900 Euclid Avenue, Cleveland, OH 44106, United States
| | - Craig C Teerlink
- Department of Internal Medicine, University of Utah School of Medicine, 30 North Mario Capecchi Dr, 3rd Floor North, Salt Lake City, UT 84112, United States
| | - Guochong Jia
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, and Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, 2525 West End Avenue, Nashville, TN 37203, United States
| | - Xingyi Guo
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, and Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, 2525 West End Avenue, Nashville, TN 37203, United States
| | - Qiuyin Cai
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, and Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, 2525 West End Avenue, Nashville, TN 37203, United States
| | - Jirong Long
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, and Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, 2525 West End Avenue, Nashville, TN 37203, United States
| | - Jie Ping
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, and Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, 2525 West End Avenue, Nashville, TN 37203, United States
| | - Bingshan Li
- Department of Molecular Physiology and Biophysics, Vanderbilt University, 707 Light Hall 2215 Garland Avenue, Nashville, TN 37232, United States
| | - Daniel O Stram
- Department of Preventive Population and Public Health Sciences, Keck School of Medicine and Norris Comprehensive Cancer Center, University of Southern California, 1450 Biggy Street, Los Angeles, CA 90033, United States
| | - Xiao-Ou Shu
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, and Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, 2525 West End Avenue, Nashville, TN 37203, United States
| | - Maureen Sanderson
- Department of Family and Community Medicine, Meharry Medical College, 1005 Dr. DB Todd Jr, Blvd. Nashville, TN 37208, United States
| | - Guimin Gao
- Department of Public Health Sciences, University of Chicago, 5841 S. Maryland Ave., Chicago, IL 60637, United States
| | - Thomas Ahearn
- Division of Cancer Epidemiology and Genetics, Department of Health and Human Services, National Cancer Institute, National Institutes of Health, 9609 Medical Center Drive, Bethesda, MD 20892, United States
| | - Kathryn L Lunetta
- Department of Biostatistics, Boston University, 715 Albany St, Boston, MA 02118, United States
| | - Gary Zirpoli
- Slone Epidemiology Center, Boston University, L-7, 72 East Concord Street, Boston, MA 02118, United States
| | - Melissa A Troester
- Department of Epidemiology, Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, 135 Dauer Drive, CB 7435, Chapel Hill, NC 27599, United States
| | - Edward A Ruiz-Narváez
- Department of Nutritional Sciences, University of Michigan School of Public Health, 1860 SPH I, 1415 Washington Heights, Ann Arbor, MI 48109, United States
| | - Stephen A Haddad
- Slone Epidemiology Center, Boston University, L-7, 72 East Concord Street, Boston, MA 02118, United States
| | - Jonine Figueroa
- Division of Cancer Epidemiology and Genetics, Department of Health and Human Services, National Cancer Institute, National Institutes of Health, 9609 Medical Center Drive, Bethesda, MD 20892, United States
- Usher Institute of Population Health Sciences and Informatics, The University of Edinburgh Medical School, 9 Little France Road, Edinburgh, EH16 4UX, United Kingdom
- Cancer Research UK Edinburgh Centre, Crewe Rd S, Edinburgh, EH4 2XR, United Kingdom
| | - Esther M John
- Department of Epidemiology & Population Health, Stanford University School of Medicine, 3145 Porter Dr, Suite E223, MC 5393, Palo Alto, CA 94304, United States
- Department of Medicine (Oncology), Stanford University School of Medicine, 291 Campus Drive Li Ka Shing Building, Stanford, CA 94305, United States
| | - Leslie Bernstein
- Division of Biomarkers of Early Detection and Prevention Department of Population Sciences, Beckman Research Institute of the City of Hope, City of Hope Comprehensive Cancer Center, 1500 East Duarte Road, Duarte, CA 91010, United States
| | - Jennifer J Hu
- Sylvester Comprehensive Cancer Center and Department of Public Health Sciences, University of Miami Miller School of Medicine, 1120 NW 14th St, CRB 1511, Miami, FL 33136, United States
| | - Regina G Ziegler
- Division of Cancer Epidemiology and Genetics, Department of Health and Human Services, National Cancer Institute, National Institutes of Health, 9609 Medical Center Drive, Bethesda, MD 20892, United States
| | - Sarah Nyante
- Department of Radiology, School of Medicine, University of North Carolina at Chapel Hill, 130 Mason Farm Rd., Chapel Hill, NC 27599, United States
| | - Elisa V Bandera
- Cancer Epidemiology and Health Outcomes, Rutgers Cancer Institute of New Jersey, 120 Albany Street, Tower 2, 8th Floor, New Brunswick, NJ 08903, United States
| | - Sue A Ingles
- Department of Preventive Population and Public Health Sciences, Keck School of Medicine and Norris Comprehensive Cancer Center, University of Southern California, 1450 Biggy Street, Los Angeles, CA 90033, United States
| | - Nicholas Mancuso
- Department of Preventive Population and Public Health Sciences, Keck School of Medicine and Norris Comprehensive Cancer Center, University of Southern California, 1450 Biggy Street, Los Angeles, CA 90033, United States
| | - Michael F Press
- Department of Pathology, Keck School of Medicine and Norris Comprehensive Cancer Center, University of Southern California, 1441 Eastlake Ave., Los Angeles, CA 90033, United States
| | - Sandra L Deming
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, and Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, 2525 West End Avenue, Nashville, TN 37203, United States
| | - Jorge L Rodriguez-Gil
- Genomics, Development and Disease Section, Genetic Disease Research Branch, National Human Genome Research Institute, National Institutes of Health, 31 Center Dr, Bethesda, MD 20894, United States
- Medical Scientist Training Program, School of Medicine and Public Health, University of Wisconsin-Madison, 750 Highland Ave., Madison, WI 53705, United States
| | - Song Yao
- Department of Cancer Prevention and Control, Roswell Park Cancer Institute, Elm and Carlton Streets, Buffalo, NY 14263, United States
| | - Temidayo O Ogundiran
- Department of Surgery, College of Medicine, University of Ibadan, Queen Elizabeth II Road, Ibadan, 200285, Nigeria
| | - Oladosu Ojengbede
- Center for Population and Reproductive Health, College of Medicine, University of Ibadan, UCH, Queen Elizabeth II Road, Ibadan, 200285, Nigeria
| | - Manjeet K Bolla
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Strangeways Research Laboratory, 2 Worts Causeway, Cambridge, CB1 8RN, United Kingdom
| | - Joe Dennis
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Strangeways Research Laboratory, 2 Worts Causeway, Cambridge, CB1 8RN, United Kingdom
| | - Alison M Dunning
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Strangeways Research Laboratory, Worts Causeway, Cambridge, CB1 8RN, United Kingdom
| | - Douglas F Easton
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Strangeways Research Laboratory, Worts Causeway, Cambridge, CB1 8RN, United Kingdom
| | - Kyriaki Michailidou
- Biostatistics Unit, The Cyprus Institute of Neurology & Genetics, Iroon Avenue 6, 2371 Ayius Dometios, Nicosia, Cyprus
| | - Paul D P Pharoah
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Strangeways Research Laboratory, Worts Causeway, Cambridge, CB1 8RN, United Kingdom
| | - Dale P Sandler
- Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, PO Box 12233, Research Triangle Park, NC 27709, United States
| | - Jack A Taylor
- Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, PO Box 12233, Research Triangle Park, NC 27709, United States
| | - Qin Wang
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Strangeways Research Laboratory, 2 Worts Causeway, Cambridge, CB1 8RN, United Kingdom
| | - Katie M O’Brien
- Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, PO Box 12233, Research Triangle Park, NC 27709, United States
| | - Clarice R Weinberg
- Biostatistics and Computational Biology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, PO Box 12233, Research Triangle Park, NC 27709, United States
| | - Cari M Kitahara
- Radiation Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, 9609 Medical Center Drive, Bethesda, MD 20892, United States
| | - William Blot
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, and Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, 2525 West End Avenue, Nashville, TN 37203, United States
- International Epidemiology Institute, 1455 Research Boulevard, Rockville, MD 20850, United States
| | - Katherine L Nathanson
- Department of Medicine, Abramson Cancer Center, The Perelman School of Medicine at the University of Pennsylvania, 3400 Spruce Street, Philadelphia, PA 19140, United States
| | - Anselm Hennis
- Chronic Disease Research Centre and Faculty of Medical Sciences, University of the West Indies, Jemmotts Lane, Avalon, Bridgetown, Barbados
| | - Barbara Nemesure
- Department of Family, Population and Preventive Medicine, Stony Brook University, 100 Nicolls Road, Stony Brook, NY 11794, United States
| | - Stefan Ambs
- Laboratory of Human Carcinogenesis, National Cancer Institute, 37 Convent Drive, Bethesda, MD 20892, United States
| | - Lara E Sucheston-Campbell
- College of Pharmacy, The Ohio State University, 217 Lloyd M. Parks Hall, 500 West 12th Ave., Columbus, OH 43210, United States
- College of Veterinary Medicine, The Ohio State University, 1900 Coffey Road, Columbus, OH 43210, United States
| | - Jeannette T Bensen
- Department of Epidemiology, Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, 135 Dauer Drive, CB 7435, Chapel Hill, NC 27599, United States
| | - Stephen J Chanock
- Division of Cancer Epidemiology and Genetics, Department of Health and Human Services, National Cancer Institute, National Institutes of Health, 9609 Medical Center Drive, Bethesda, MD 20892, United States
| | - Andrew F Olshan
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, 170 Rosenau Hall, CB #7400, 135 Dauer Drive, Chapel Hill, NC 27599, United States
| | - Christine B Ambrosone
- Department of Cancer Prevention and Control, Roswell Park Cancer Institute, Elm and Carlton Streets, Buffalo, NY 14263, United States
| | - Olufunmilayo I Olopade
- Center for Clinical Cancer Genetics and Global Health, Department of Medicine, University of Chicago, 5841 S Maryland Avenue, Chicago, IL 60637, United States
| | | | - David V Conti
- Department of Preventive Population and Public Health Sciences, Keck School of Medicine and Norris Comprehensive Cancer Center, University of Southern California, 1450 Biggy Street, Los Angeles, CA 90033, United States
| | - Julie Palmer
- Slone Epidemiology Center, Boston University, L-7, 72 East Concord Street, Boston, MA 02118, United States
| | - Montserrat García-Closas
- Division of Cancer Epidemiology and Genetics, Department of Health and Human Services, National Cancer Institute, National Institutes of Health, 9609 Medical Center Drive, Bethesda, MD 20892, United States
| | - Dezheng Huo
- Department of Public Health Sciences, University of Chicago, 5841 S. Maryland Ave., Chicago, IL 60637, United States
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, and Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, 2525 West End Avenue, Nashville, TN 37203, United States
| | - Christopher Haiman
- Department of Preventive Population and Public Health Sciences, Keck School of Medicine and Norris Comprehensive Cancer Center, University of Southern California, 1450 Biggy Street, Los Angeles, CA 90033, United States
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Du Z, Gao G, Adedokun B, Ahearn T, Lunetta KL, Zirpoli G, Troester MA, Ruiz-Narváez EA, Haddad SA, PalChoudhury P, Figueroa J, John EM, Bernstein L, Zheng W, Hu JJ, Ziegler RG, Nyante S, Bandera EV, Ingles SA, Mancuso N, Press MF, Deming SL, Rodriguez-Gil JL, Yao S, Ogundiran TO, Ojengbe O, Bolla MK, Dennis J, Dunning AM, Easton DF, Michailidou K, Pharoah PDP, Sandler DP, Taylor JA, Wang Q, Weinberg CR, Kitahara CM, Blot W, Nathanson KL, Hennis A, Nemesure B, Ambs S, Sucheston-Campbell LE, Bensen JT, Chanock SJ, Olshan AF, Ambrosone CB, Olopade OI, Yarney J, Awuah B, Wiafe-Addai B, Conti DV, Palmer JR, Garcia-Closas M, Huo D, Haiman CA. Evaluating Polygenic Risk Scores for Breast Cancer in Women of African Ancestry. J Natl Cancer Inst 2021; 113:1168-1176. [PMID: 33769540 PMCID: PMC8418423 DOI: 10.1093/jnci/djab050] [Citation(s) in RCA: 32] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2020] [Revised: 02/03/2021] [Accepted: 03/22/2021] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Polygenic risk scores (PRSs) have been demonstrated to identify women of European, Asian, and Latino ancestry at elevated risk of developing breast cancer (BC). We evaluated the performance of existing PRSs trained in European ancestry populations among women of African ancestry. METHODS We assembled genotype data for women of African ancestry, including 9241 case subjects and 10 193 control subjects. We evaluated associations of 179- and 313-variant PRSs with overall and subtype-specific BC risk. PRS discriminatory accuracy was assessed using area under the receiver operating characteristic curve. We also evaluated a recalibrated PRS, replacing the index variant with variants in each region that better captured risk in women of African ancestry and estimated lifetime absolute risk of BC in African Americans by PRS category. RESULTS For overall BC, the odds ratio per SD of the 313-variant PRS (PRS313) was 1.27 (95% confidence interval [CI] = 1.23 to 1.31), with an area under the receiver operating characteristic curve of 0.571 (95% CI = 0.562 to 0.579). Compared with women with average risk (40th-60th PRS percentile), women in the top decile of PRS313 had a 1.54-fold increased risk (95% CI = 1.38-fold to 1.72-fold). By age 85 years, the absolute risk of overall BC was 19.6% for African American women in the top 1% of PRS313 and 6.7% for those in the lowest 1%. The recalibrated PRS did not improve BC risk prediction. CONCLUSION The PRSs stratify BC risk in women of African ancestry, with attenuated performance compared with that reported in European, Asian, and Latina populations. Future work is needed to improve BC risk stratification for women of African ancestry.
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Affiliation(s)
- Zhaohui Du
- Center for Genetic Epidemiology, Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Norris Comprehensive Cancer Center, Los Angeles, CA, USA
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Guimin Gao
- Department of Public Health Sciences, University of Chicago, Chicago, IL, USA
| | - Babatunde Adedokun
- Department of Public Health Sciences, University of Chicago, Chicago, IL, USA
| | - Thomas Ahearn
- Division of Cancer Epidemiology and Genetics, Department of Health and Human Services, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | | | - Gary Zirpoli
- Slone Epidemiology Center, Boston University, Boston, MA, USA
| | - Melissa A Troester
- Department of Epidemiology, Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | | | | | - Parichoy PalChoudhury
- Division of Cancer Epidemiology and Genetics, Department of Health and Human Services, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Jonine Figueroa
- Division of Cancer Epidemiology and Genetics, Department of Health and Human Services, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
- Usher Institute of Population Health Sciences and Informatics, The University of Edinburgh Medical School, Edinburgh, UK
- Cancer Research UK Edinburgh Centre, Edinburgh, UK
| | - Esther M John
- Department of Epidemiology and Population Health, Stanford University School of Medicine, Stanford, CA, USA
- Department of Medicine (Oncology), Stanford University School of Medicine, Stanford, CA, USA
| | - Leslie Bernstein
- Division of Biomarkers of Early Detection and Prevention Department of Population Sciences, Beckman Research Institute of the City of Hope, City of Hope Comprehensive Cancer Center, Los Angeles, CA, USA
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, and Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Jennifer J Hu
- Department of Public Health Sciences, Sylvester Comprehensive Cancer Center University of Miami Miller School of Medicine, Miami, FL, USA
| | - Regina G Ziegler
- Division of Cancer Epidemiology and Genetics, Department of Health and Human Services, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Sarah Nyante
- Department of Epidemiology, Gillings School of Global Public Health and Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC, USA
| | - Elisa V Bandera
- Department of Population Science, Rutgers Cancer Institute of New Jersey, New Brunswick, NJ, USA
| | - Sue A Ingles
- Center for Genetic Epidemiology, Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Norris Comprehensive Cancer Center, Los Angeles, CA, USA
| | - Nicholas Mancuso
- Center for Genetic Epidemiology, Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Norris Comprehensive Cancer Center, Los Angeles, CA, USA
| | - Michael F Press
- Department of Pathology, Keck School of Medicine and Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA, USA
| | - Sandra L Deming
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, and Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Jorge L Rodriguez-Gil
- Genomics, Development and Disease Section, Genetic Disease Research Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
- Medical Scientist Training Program, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA
| | - Song Yao
- Department of Cancer Prevention and Control, Roswell Park Cancer Institute, Buffalo, NY, USA
| | - Temidayo O Ogundiran
- Department of Surgery, College of Medicine, University of Ibadan, Ibadan, Nigeria
| | - Oladosu Ojengbe
- Center for Population and Reproductive Health, College of Medicine, University of Ibadan, University College Hospital, Ibadan, Nigeria
| | - Manjeet K Bolla
- Department of Public Health and Primary Care, Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, UK
| | - Joe Dennis
- Department of Public Health and Primary Care, Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, UK
| | - Alison M Dunning
- Department of Oncology, Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, UK
| | - Douglas F Easton
- Department of Oncology, Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, UK
| | - Kyriaki Michailidou
- Biostatistics Unit, The Cyprus Institute of Neurology and Genetics, Nicosia, Cyprus
| | - Paul D P Pharoah
- Department of Oncology, Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, UK
| | - Dale P Sandler
- Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, NC, USA
| | - Jack A Taylor
- Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, NC, USA
| | - Qin Wang
- Department of Public Health and Primary Care, Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, UK
| | - Clarice R Weinberg
- Biostatistics and Computational Biology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, NC, USA
| | - Cari M Kitahara
- Radiation Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - William Blot
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, and Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN, USA
- International Epidemiology Institute, Rockville, MD, USA
| | - Katherine L Nathanson
- Department of Medicine, Abramson Cancer Center, The Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Anselm Hennis
- Chronic Disease Research Centre and Faculty of Medical Sciences, University of the West Indies, Bridgetown, Barbados
| | - Barbara Nemesure
- Department of Family, Population and Preventive Medicine, Stony Brook University, Stony Brook, NY, USA
| | - Stefan Ambs
- Laboratory of Human Carcinogenesis, National Cancer Institute, Bethesda, MD, USA
| | - Lara E Sucheston-Campbell
- College of Pharmacy, The Ohio State University, Columbus, OH, USA
- College of Veterinary Medicine, The Ohio State University, Columbus, OH, USA
| | - Jeannette T Bensen
- Department of Epidemiology, Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Stephen J Chanock
- Division of Cancer Epidemiology and Genetics, Department of Health and Human Services, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Andrew F Olshan
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, USA
| | - Christine B Ambrosone
- Department of Cancer Prevention and Control, Roswell Park Cancer Institute, Buffalo, NY, USA
| | - Olufunmilayo I Olopade
- Department of Medicine, Center for Clinical Cancer Genetics and Global Health, University of Chicago, Chicago, IL, USA
| | | | | | | | | | | | - Julie R Palmer
- Slone Epidemiology Center, Boston University, Boston, MA, USA
| | - Montserrat Garcia-Closas
- Division of Cancer Epidemiology and Genetics, Department of Health and Human Services, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Dezheng Huo
- Department of Public Health Sciences, University of Chicago, Chicago, IL, USA
| | - Christopher A Haiman
- Center for Genetic Epidemiology, Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Norris Comprehensive Cancer Center, Los Angeles, CA, USA
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Adedokun B, Du Z, Gao G, Ahearn T, Lunetta KL, Zirpoli G, Figueroa J, John EM, Bernstein L, Zheng W, Hu JJ, Ziegler RG, Nyante S, Bandera EV, Ingles SA, Press MF, Deming SL, Rodriguez-Gil JL, Yao S, Ogundiran TO, Ojengbede O, Blot W, Troester M, Nathanson KL, Hennis A, Nemesure B, Ambs S, Sucheston-Campbell LE, Bensen JT, Chanock SJ, Olshan AF, Ambrosone CB, Conti DV, Olopade OI, Garcia-Closas M, Palmer JR, Haiman CA, Huo D. Abstract 4613: Cross-ancestry genome-wide association study identifies six new loci for breast cancer in women of African and european ancestry. Cancer Res 2020. [DOI: 10.1158/1538-7445.am2020-4613] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Background: Over 180 genetic variants have been identified as risk loci for breast cancer. However, most loci were discovered using European ancestry populations. As some common susceptibility loci are shared across populations, we aim to discover new risk loci for breast cancer using a cross-ancestry genome-wide association study (GWAS) approach.
Methods: Data from five GWAS studies in women of African ancestry with a combined sample size of 9241 cases and 10192 controls were used to generate pooled breast cancer risk estimates in a fixed effect meta-analysis, and this served as the discovery dataset. Summary statistics from the GWAS conducted in European ancestry populations (Breast Cancer Association Consortium, 122977 cases and 105974 controls) served as the validation dataset. The variants that were associated with breast cancer risk at P < 0.01 in the GWAS of African ancestry were meta-analyzed with the GWAS in European ancestry. A locus was considered novel if the lead index variant was genome-wide significant (5 × 10−8) in the cross-ancestry meta-analysis and >500kb away from known breast cancer risk loci. Conditional on the lead index variants, we searched for additional signals in each locus using multivariable logistic regression. Analyses were done separately for ER-positive, ER-negative and overall breast cancer risk.
Results: We discovered four novel loci for overall breast cancer risk (1p13.3, 5q31.1, 15q24, and 15q26.3) and two novel loci for ER-negative breast cancer (1q41 and 7q11.23) at the genome-wide significance level of P < 5 × 10−8. Three index single nucleotide polymorphism (SNPs) lie within introns of genes (KCNK2, C5orf56, and SIN3A) and the other index SNPs are located in intergenic regions (close to GSTM4 and AMPD2, CASTOR2, and the antisense DNA RP11-168G16.2). The direction of the associations was consistent between the GWASs of African and European descendants. At the 15q24 locus, we found an additional SNP (in the intron of the SCAMP2 gene) to be independently associated with overall breast cancer risk.
Conclusions: We have identified six new risk loci that may contribute to better prediction of breast cancer risk in African ancestry populations and provide new insights into mechanisms of breast cancer carcinogenesis. Replication of these loci in multiple populations and functional studies can help to identify causal variants.
Citation Format: Babatunde Adedokun, Zhaohui Du, Guimin Gao, Thomas Ahearn, Kathryn L. Lunetta, Gary Zirpoli, Jonine Figueroa, Esther M. John, Leslie Bernstein, Wei Zheng, Jennifer J. Hu, Regina G. Ziegler, Sarah Nyante, Elisa V. Bandera, Sue A. Ingles, Michael F. Press, Sandra L. Deming, Jorge L. Rodriguez-Gil, Song Yao, Temidayo O. Ogundiran, Oladosu Ojengbede, William Blot, Melissa Troester, Katherine L. Nathanson, Anselm Hennis, Barbara Nemesure, Stefan Ambs, Lara E. Sucheston-Campbell, Jeannette T. Bensen, Stephen J. Chanock, Andrew F. Olshan, Christine B. Ambrosone, David V. Conti, Olufunmilayo I. Olopade, Montserrat Garcia-Closas, Julie R. Palmer, Christopher A. Haiman, Dezheng Huo. Cross-ancestry genome-wide association study identifies six new loci for breast cancer in women of African and european ancestry [abstract]. In: Proceedings of the Annual Meeting of the American Association for Cancer Research 2020; 2020 Apr 27-28 and Jun 22-24. Philadelphia (PA): AACR; Cancer Res 2020;80(16 Suppl):Abstract nr 4613.
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Affiliation(s)
| | - Zhaohui Du
- 2University of Southern California, Los Angeles, CA
| | | | | | | | | | | | | | | | - Wei Zheng
- 8Vanderbilt University Medical Center, Nashville, TN
| | - Jennifer J. Hu
- 9University of Miami Miller School of Medicine, Miami, FL
| | | | - Sarah Nyante
- 10University of North Carolina at Chapel Hill, Chapel Hill, NC
| | | | | | | | | | | | - Song Yao
- 13Roswell Park Comprehensive Cancer Center, Buffalo, NY
| | | | | | - William Blot
- 8Vanderbilt University Medical Center, Nashville, TN
| | | | | | - Anselm Hennis
- 16University of the West Indies, Bridgetown, Barbados
| | | | | | | | | | | | - Andrew F. Olshan
- 20University of North Carolina School of Public Health, Chapel Hill, NC
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Du Z, Gao G, Adedokun B, Ahearn T, Lunetta KL, Zirpoli G, Troester M, Ruiz-Narváez EA, Haddad S, Figueroa J, John EM, Bernstein L, Zheng W, Hu JJ, Ziegler RG, Nyante S, Bandera EV, Ingles SA, Press MF, Deming SL, Rodriguez-Gil JL, Yao S, Ogundiran TO, Ojengbede OA, Blot W, Nathanson KL, Hennis A, Nemesure B, Ambs S, Sucheston-Campbell LE, Bensen JT, Chanock SJ, Olshan AF, Ambrosone CB, Conti DV, Olopade OI, Palmer JR, Garcia-Closas M, Huo D, Haiman CA. Abstract 2320: Evaluating a polygenic risk score for breast cancer in women of African ancestry. Cancer Res 2020. [DOI: 10.1158/1538-7445.am2020-2320] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Background: A polygenic risk score (PRS) for breast cancer including 313 common variants developed by the Breast Cancer Association Consortium (BCAC) has been demonstrated to identify women who are at high risk of developing breast cancer [odds ratio (OR 95%CI) = 1.61 (1.57-1.65) per SD] in women of European ancestry. In the present study, we examined the performance of the 313-variant PRS and a PRS including 179 variants reaching genome-wide significance in previous genome-wide association studies (GWAS), in women of African ancestry.
Methods: We assembled genotype data for women of African ancestry from 28 breast cancer studies, including a total of 9,241 cases and 10,193 controls. We constructed the 179-variant and 313-variant PRSs with relative risk weights for each variant estimated in women of European ancestry in BCAC. The associations between the two PRSs and overall, ER+ and ER- breast cancer risk were estimated using logistic regression adjusting for age, study site and principal components. Discriminatory accuracy of the PRSs was evaluated using the receiver operating characteristic curve (AUROC). We then recalibrated the 179-variant PRS by replacing index variants with variants in each region that better captured risk in women of African ancestry and used relative risk weights estimated in women of African ancestry. We also assessed PRS performance by age (<55 versus ≥ 55 years).
Results: Both the 179 and 313- variant PRSs were significantly associated with overall, ER+ and ER- breast cancer risk, with odds ratios (OR) per standard deviation of 1.21~1.37 and AUROCs ranging from 0.57 to 0.59. The 179-variant PRS outperformed in ER- cancer [1.31(1.24,1.37) per SD] while the 313-SNP PRS was better for overall [1.27(1.23,1.31) per SD] and ER+ cancer [1.37(1.32,1.43) per SD]. For overall breast cancer, compared to women with average risk (40th-60th PRS percentiles), women in the top decile of PRS had a 1.54 (95% CI: 1.38, 1.72)-fold increased risk. The performance of the recalibrated 179-variant PRS was not improved (average AUROC=0.56). The PRS ORs did not differ significantly across age strata (P-value for age interaction = 0.63).
Conclusion: Our study shows that both 179 and 313 variant PRS stratify breast cancer risk in women of African ancestry, with attenuated performance compared to that reported in European and in Latina populations. Future work is needed to improve breast cancer risk stratification for women of African ancestry.
Citation Format: Zhaohui Du, Guimin Gao, Babatunde Adedokun, Thomas Ahearn, Kathryn L. Lunetta, Gary Zirpoli, Melissa Troester, Edward A. Ruiz-Narváez, Stephen Haddad, Jonine Figueroa, Esther M. John, Leslie Bernstein, Wei Zheng, Jennifer J. Hu, Regina G. Ziegler, Sarah Nyante, Elisa V. Bandera, Sue A. Ingles, Michael F. Press, Sandra L. Deming, Jorge L. Rodriguez-Gil, Song Yao, Temidayo O. Ogundiran, Oladosu A. Ojengbede, William Blot, Katherine L. Nathanson, Anselm Hennis, Barbara Nemesure, Stefan Ambs, Lara E. Sucheston-Campbell, Jeannette T. Bensen, Stephen J. Chanock, Andrew F. Olshan, Christine B. Ambrosone, David V. Conti, Olufunmilayo I. Olopade, Julie R. Palmer, Montserrat Garcia-Closas, Dezheng Huo, Christopher A. Haiman. Evaluating a polygenic risk score for breast cancer in women of African ancestry [abstract]. In: Proceedings of the Annual Meeting of the American Association for Cancer Research 2020; 2020 Apr 27-28 and Jun 22-24. Philadelphia (PA): AACR; Cancer Res 2020;80(16 Suppl):Abstract nr 2320.
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Affiliation(s)
- Zhaohui Du
- 1University of Southern California, Los Angeles, CA
| | | | | | | | | | | | | | | | | | | | | | | | - Wei Zheng
- 10Vanderbilt University, Nashville, TN
| | | | | | - Sarah Nyante
- 5University of North Carolina at Chapel Hill, Chapel Hill, NC
| | | | | | | | | | | | - Song Yao
- 14Roswell Park Cancer Institute, Buffalo, NY
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5
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Huo D, Feng Y, Haddad S, Zheng Y, Yao S, Han YJ, Ogundiran TO, Adebamowo C, Ojengbede O, Falusi AG, Zheng W, Blot W, Cai Q, Signorello L, John EM, Bernstein L, Hu JJ, Ziegler RG, Nyante S, Bandera EV, Ingles SA, Press MF, Deming SL, Rodriguez-Gil JL, Nathanson KL, Domchek SM, Rebbeck TR, Ruiz-Narváez EA, Sucheston-Campbell LE, Bensen JT, Simon MS, Hennis A, Nemesure B, Leske MC, Ambs S, Chen LS, Qian F, Gamazon ER, Lunetta KL, Cox NJ, Chanock SJ, Kolonel LN, Olshan AF, Ambrosone CB, Olopade OI, Palmer JR, Haiman CA. Genome-wide association studies in women of African ancestry identified 3q26.21 as a novel susceptibility locus for oestrogen receptor negative breast cancer. Hum Mol Genet 2018; 25:4835-4846. [PMID: 28171663 DOI: 10.1093/hmg/ddw305] [Citation(s) in RCA: 36] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2016] [Revised: 07/21/2016] [Accepted: 08/26/2016] [Indexed: 12/20/2022] Open
Abstract
Multiple breast cancer loci have been identified in previous genome-wide association studies, but they were mainly conducted in populations of European ancestry. Women of African ancestry are more likely to have young-onset and oestrogen receptor (ER) negative breast cancer for reasons that are unknown and understudied. To identify genetic risk factors for breast cancer in women of African descent, we conducted a meta-analysis of two genome-wide association studies of breast cancer; one study consists of 1,657 cases and 2,029 controls genotyped with Illumina’s HumanOmni2.5 BeadChip and the other study included 3,016 cases and 2,745 controls genotyped using Illumina Human1M-Duo BeadChip. The top 18,376 single nucleotide polymorphisms (SNP) from the meta-analysis were replicated in the third study that consists of 1,984 African Americans cases and 2,939 controls. We found that SNP rs13074711, 26.5 Kb upstream of TNFSF10 at 3q26.21, was significantly associated with risk of oestrogen receptor (ER)-negative breast cancer (odds ratio [OR]=1.29, 95% CI: 1.18-1.40; P = 1.8 × 10 − 8). Functional annotations suggest that the TNFSF10 gene may be involved in breast cancer aetiology, but further functional experiments are needed. In addition, we confirmed SNP rs10069690 was the best indicator for ER-negative breast cancer at 5p15.33 (OR = 1.30; P = 2.4 × 10 − 10) and identified rs12998806 as the best indicator for ER-positive breast cancer at 2q35 (OR = 1.34; P = 2.2 × 10 − 8) for women of African ancestry. These findings demonstrated additional susceptibility alleles for breast cancer can be revealed in diverse populations and have important public health implications in building race/ethnicity-specific risk prediction model for breast cancer.
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Affiliation(s)
- Dezheng Huo
- Department of Public Health Sciences, University of Chicago, Chicago, IL, USA
| | - Ye Feng
- Department of Preventive Medicine, Keck School of Medicine and Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA, USA
| | - Stephen Haddad
- Slone Epidemiology Center, Boston University, Boston, MA, USA
| | - Yonglan Zheng
- Center for Clinical Cancer Genetics and Global Health, Department of Medicine, University of Chicago, Chicago, IL, USA
| | - Song Yao
- Roswell Park Cancer Institute, Buffalo, NY, USA
| | - Yoo-Jeong Han
- Center for Clinical Cancer Genetics and Global Health, Department of Medicine, University of Chicago, Chicago, IL, USA
| | - Temidayo O Ogundiran
- Department of Surgery, College of Medicine, University of Ibadan, Ibadan, Nigeria
| | - Clement Adebamowo
- Department of Epidemiology & Preventive Medicine, University of Maryland, Baltimore, MD, USA
| | - Oladosu Ojengbede
- Center for Population and Reproductive Health, College of Medicine, University of Ibadan, Ibadan, Nigeria
| | - Adeyinka G Falusi
- Institute for Medical Research and Training, College of Medicine, University of Ibadan, Ibadan, Nigeria
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University, Nashville, TN, USA
| | - William Blot
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University, Nashville, TN, USA
| | - Qiuyin Cai
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University, Nashville, TN, USA
| | - Lisa Signorello
- Cancer Prevention Fellowship Program, National Cancer Institute, Bethesda, MD, USA
| | - Esther M John
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University, Nashville, TN, USA.,Cancer Prevention Fellowship Program, National Cancer Institute, Bethesda, MD, USA
| | - Leslie Bernstein
- Division of Cancer Etiology, Department of Population Sciences, Beckman Research Institute of City of Hope, Duarte, CA, USA
| | - Jennifer J Hu
- Sylvester Comprehensive Cancer Center and Department of Public Health Sciences, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Regina G Ziegler
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MA, USA
| | - Sarah Nyante
- Department of Epidemiology, Gillings School of Global Public Health, and Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC, USA
| | | | - Sue A Ingles
- Department of Preventive Medicine, Keck School of Medicine and Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA, USA
| | - Michael F Press
- Department of Pathology, Keck School of Medicine and Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA, USA
| | - Sandra L Deming
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University, Nashville, TN, USA
| | - Jorge L Rodriguez-Gil
- Sylvester Comprehensive Cancer Center and Department of Public Health Sciences, University of Miami Miller School of Medicine, Miami, FL, USA
| | | | - Susan M Domchek
- Department of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Timothy R Rebbeck
- Dana Farber Cancer Institute & Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | | | | | - Jeannette T Bensen
- Department of Epidemiology, Gillings School of Global Public Health, and Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC, USA
| | - Michael S Simon
- Karmanos Cancer Institute, Department of Oncology, Wayne State University, Detroit, MI, USA
| | - Anselm Hennis
- Division of Cancer Etiology, Department of Population Sciences, Beckman Research Institute of City of Hope, Duarte, CA, USA.,Sylvester Comprehensive Cancer Center and Department of Public Health Sciences, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Barbara Nemesure
- Department of Preventive Medicine, State University of New York at Stony Brook, Stony Brook, NY, USA
| | - M Cristina Leske
- Department of Preventive Medicine, State University of New York at Stony Brook, Stony Brook, NY, USA
| | - Stefan Ambs
- Laboratory of Human Carcinogenesis, National Cancer Institute, Bethesda, MD, USA
| | - Lin S Chen
- Department of Public Health Sciences, University of Chicago, Chicago, IL, USA
| | - Frank Qian
- Center for Clinical Cancer Genetics and Global Health, Department of Medicine, University of Chicago, Chicago, IL, USA
| | - Eric R Gamazon
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MA, USA.,Department of Epidemiology, Gillings School of Global Public Health, and Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC, USA
| | - Kathryn L Lunetta
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Nancy J Cox
- Division of Genetic Medicine, Department of Medicine, Vanderbilt University, Nashville, TN, USA
| | - Stephen J Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MA, USA
| | - Laurence N Kolonel
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI, USA
| | - Andrew F Olshan
- Department of Epidemiology, Gillings School of Global Public Health, and Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC, USA
| | | | - Olufunmilayo I Olopade
- Center for Clinical Cancer Genetics and Global Health, Department of Medicine, University of Chicago, Chicago, IL, USA
| | - Julie R Palmer
- Slone Epidemiology Center, Boston University, Boston, MA, USA
| | - Christopher A Haiman
- Department of Preventive Medicine, Keck School of Medicine and Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA, USA
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Feng Y, Rhie SK, Huo D, Ruiz-Narvaez EA, Haddad SA, Ambrosone CB, John EM, Bernstein L, Zheng W, Hu JJ, Ziegler RG, Nyante S, Bandera EV, Ingles SA, Press MF, Deming SL, Rodriguez-Gil JL, Zheng Y, Yao S, Han YJ, Ogundiran TO, Rebbeck TR, Adebamowo C, Ojengbede O, Falusi AG, Hennis A, Nemesure B, Ambs S, Blot W, Cai Q, Signorello L, Nathanson KL, Lunetta KL, Sucheston-Campbell LE, Bensen JT, Chanock SJ, Marchand LL, Olshan AF, Kolonel LN, Conti DV, Coetzee GA, Stram DO, Olopade OI, Palmer JR, Haiman CA. Characterizing Genetic Susceptibility to Breast Cancer in Women of African Ancestry. Cancer Epidemiol Biomarkers Prev 2017; 26:1016-1026. [PMID: 28377418 DOI: 10.1158/1055-9965.epi-16-0567] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2016] [Revised: 10/07/2016] [Accepted: 03/15/2017] [Indexed: 01/01/2023] Open
Abstract
Background: Genome-wide association studies have identified approximately 100 common genetic variants associated with breast cancer risk, the majority of which were discovered in women of European ancestry. Because of different patterns of linkage disequilibrium, many of these genetic markers may not represent signals in populations of African ancestry.Methods: We tested 74 breast cancer risk variants and conducted fine-mapping of these susceptibility regions in 6,522 breast cancer cases and 7,643 controls of African ancestry from three genetic consortia (AABC, AMBER, and ROOT).Results: Fifty-four of the 74 variants (73%) were found to have ORs that were directionally consistent with those previously reported, of which 12 were nominally statistically significant (P < 0.05). Through fine-mapping, in six regions (3p24, 12p11, 14q13, 16q12/FTO, 16q23, 19p13), we observed seven markers that better represent the underlying risk variant for overall breast cancer or breast cancer subtypes, whereas in another two regions (11q13, 16q12/TOX3), we identified suggestive evidence of signals that are independent of the reported index variant. Overlapping chromatin features and regulatory elements suggest that many of the risk alleles lie in regions with biological functionality.Conclusions: Through fine-mapping of known susceptibility regions, we have revealed alleles that better characterize breast cancer risk in women of African ancestry.Impact: The risk alleles identified represent genetic markers for modeling and stratifying breast cancer risk in women of African ancestry. Cancer Epidemiol Biomarkers Prev; 26(7); 1016-26. ©2017 AACR.
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Affiliation(s)
- Ye Feng
- Department of Preventive Medicine, Keck School of Medicine and Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, California.
| | - Suhn Kyong Rhie
- Department of Preventive Medicine, Keck School of Medicine and Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, California
| | - Dezheng Huo
- Department of Public Health Sciences, University of Chicago, Chicago, Illinois
| | | | - Stephen A Haddad
- Slone Epidemiology Center at Boston University, Boston, Massachusetts
| | - Christine B Ambrosone
- Department of Cancer Prevention and Control, Roswell Park Cancer Institute, Buffalo, New York
| | - Esther M John
- Cancer Prevention Institute of California, Fremont, California.,Department of Health Research and Policy (Epidemiology) and Stanford Cancer Institute, Stanford University School of Medicine, Stanford, California
| | - Leslie Bernstein
- Division of Cancer Etiology, Department of Population Sciences, Beckman Research Institute, City of Hope, Duarte, California
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, and Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, Tennessee
| | - Jennifer J Hu
- Sylvester Comprehensive Cancer Center and Department of Epidemiology and Public Health, University of Miami Miller School of Medicine, Miami, Florida
| | - Regina G Ziegler
- Epidemiology and Biostatistics Program, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland
| | - Sarah Nyante
- Department of Epidemiology, Gillings School of Global Public Health and Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, North Carolina
| | - Elisa V Bandera
- Rutgers Cancer Institute of New Jersey, New Brunswick, New Jersey
| | - Sue A Ingles
- Department of Preventive Medicine, Keck School of Medicine and Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, California
| | - Michael F Press
- Department of Pathology, Keck School of Medicine and Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, California
| | - Sandra L Deming
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, and Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, Tennessee
| | - Jorge L Rodriguez-Gil
- Sylvester Comprehensive Cancer Center and Department of Epidemiology and Public Health, University of Miami Miller School of Medicine, Miami, Florida
| | - Yonglan Zheng
- Department of Medicine, University of Chicago, Chicago, Illinois
| | - Song Yao
- Roswell Park Cancer Institute, Buffalo, New York
| | - Yoo-Jeong Han
- Department of Medicine, University of Chicago, Chicago, Illinois
| | - Temidayo O Ogundiran
- Department of Surgery, College of Medicine, University of Ibadan, Ibadan, Nigeria
| | - Timothy R Rebbeck
- Dana Farber Cancer Institute & Harvard T. H. Chan School of Public Health, Boston, Maryland
| | - Clement Adebamowo
- Department of Epidemiology & Preventive Medicine, University of Maryland, Baltimore, Maryland
| | - Oladosu Ojengbede
- Center for Population and Reproductive Health, College of Medicine, University of Ibadan, Ibadan, Nigeria
| | - Adeyinka G Falusi
- Institute for Medical Research and Training, College of Medicine, University of Ibadan, Ibadan, Nigeria
| | - Anselm Hennis
- Chronic Disease Research Centre, Tropical Medicine Research Institute, University of the West Indies, Bridgetown, Barbados.,Department of Preventive Medicine, State University of New York at Stony Brook, Stony Brook, New York
| | - Barbara Nemesure
- Department of Preventive Medicine, State University of New York at Stony Brook, Stony Brook, New York
| | - Stefan Ambs
- Laboratory of Human Carcinogenesis, National Cancer Institute, Bethesda, Maryland
| | - William Blot
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, and Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, Tennessee
| | - Qiuyin Cai
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, and Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, Tennessee
| | - Lisa Signorello
- Cancer Prevention Fellowship Program, National Cancer Institute, Bethesda, Maryland
| | | | - Kathryn L Lunetta
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts
| | | | - Jeannette T Bensen
- Department of Epidemiology, Gillings School of Global Public Health and Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, North Carolina
| | - Stephen J Chanock
- Epidemiology and Biostatistics Program, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland
| | - Loic Le Marchand
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, Hawaii
| | - Andrew F Olshan
- Department of Epidemiology, Gillings School of Global Public Health and Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, North Carolina
| | - Laurence N Kolonel
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, Hawaii
| | - David V Conti
- Department of Preventive Medicine, Keck School of Medicine and Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, California
| | - Gerhard A Coetzee
- Department of Preventive Medicine, Keck School of Medicine and Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, California
| | - Daniel O Stram
- Department of Preventive Medicine, Keck School of Medicine and Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, California
| | | | - Julie R Palmer
- Slone Epidemiology Center at Boston University, Boston, Massachusetts
| | - Christopher A Haiman
- Department of Preventive Medicine, Keck School of Medicine and Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, California.
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Ruiz-Narváez EA, Sucheston-Campbell L, Bensen JT, Yao S, Haddad S, Haiman CA, Bandera EV, John EM, Bernstein L, Hu JJ, Ziegler RG, Deming SL, Olshan AF, Ambrosone CB, Palmer JR, Lunetta KL. Admixture Mapping of African-American Women in the AMBER Consortium Identifies New Loci for Breast Cancer and Estrogen-Receptor Subtypes. Front Genet 2016; 7:170. [PMID: 27708667 PMCID: PMC5030764 DOI: 10.3389/fgene.2016.00170] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2016] [Accepted: 09/07/2016] [Indexed: 12/13/2022] Open
Abstract
Recent genetic admixture coupled with striking differences in incidence of estrogen receptor (ER) breast cancer subtypes, as well as severity, between women of African and European ancestry, provides an excellent rationale for performing admixture mapping in African American women with breast cancer risk. We performed the largest breast cancer admixture mapping study with in African American women to identify novel genomic regions associated with the disease. We conducted a genome-wide admixture scan using 2,624 autosomal ancestry informative markers (AIMs) in 3,629 breast cancer cases (including 1,968 ER-positive, 1093 ER-negative, and 601 triple-negative) and 4,658 controls from the African American Breast Cancer Epidemiology and Risk (AMBER) Consortium, a collaborative study of four large geographically different epidemiological studies of breast cancer in African American women. We used an independent case-control study to test for SNP association in regions with genome-wide significant admixture signals. We found two novel genome-wide significant regions of excess African ancestry, 4p16.1 and 17q25.1, associated with ER-positive breast cancer. Two regions known to harbor breast cancer variants, 10q26 and 11q13, were also identified with excess of African ancestry. Fine-mapping of the identified genome-wide significant regions suggests the presence of significant genetic associations with ER-positive breast cancer in 4p16.1 and 11q13. In summary, we identified three novel genomic regions associated with breast cancer risk by ER status, suggesting that additional previously unidentified variants may contribute to the racial differences in breast cancer risk in the African American population.
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Affiliation(s)
| | - Lara Sucheston-Campbell
- College of Pharmacy, The Ohio State University, ColumbusOH, USA
- College of Veterinary Medicine, The Ohio State University, ColumbusOH, USA
| | - Jeannette T. Bensen
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel HillNC, USA
| | - Song Yao
- Department of Cancer Prevention and Control, Roswell Park Cancer Institute, BuffaloNY, USA
| | - Stephen Haddad
- Slone Epidemiology Center, Boston University, BostonMA, USA
| | - Christopher A. Haiman
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California/Norris Comprehensive Cancer Center, Los AngelesCA, USA
| | | | - Esther M. John
- Cancer Prevention Institute of California, FremontCA, USA
| | - Leslie Bernstein
- Division of Cancer Etiology, Department of Population Science, Beckman Research Institute, City of Hope, DuarteCA, USA
| | - Jennifer J. Hu
- Sylvester Comprehensive Cancer Center and Department of Public Health Sciences, University of Miami Miller School of Medicine, MiamiFL, USA
| | - Regina G. Ziegler
- Epidemiology and Biostatistics Program, Division of Cancer Epidemiology and Genetics, National Cancer Institute, BethesdaMD, USA
| | - Sandra L. Deming
- Vanderbilt Epidemiology Center, Vanderbilt University and the Vanderbilt-Ingram Cancer Center, NashvilleTN, USA
| | - Andrew F. Olshan
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel HillNC, USA
| | - Christine B. Ambrosone
- Department of Cancer Prevention and Control, Roswell Park Cancer Institute, BuffaloNY, USA
| | | | - Kathryn L. Lunetta
- Department of Biostatistics, Boston University School of Public Health, BostonMA, USA
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8
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Chen F, He J, Zhang J, Chen GK, Thomas V, Ambrosone CB, Bandera EV, Berndt SI, Bernstein L, Blot WJ, Cai Q, Carpten J, Casey G, Chanock SJ, Cheng I, Chu L, Deming SL, Driver WR, Goodman P, Hayes RB, Hennis AJM, Hsing AW, Hu JJ, Ingles SA, John EM, Kittles RA, Kolb S, Leske MC, Millikan RC, Monroe KR, Murphy A, Nemesure B, Neslund-Dudas C, Nyante S, Ostrander EA, Press MF, Rodriguez-Gil JL, Rybicki BA, Schumacher F, Stanford JL, Signorello LB, Strom SS, Stevens V, Van Den Berg D, Wang Z, Witte JS, Wu SY, Yamamura Y, Zheng W, Ziegler RG, Stram AH, Kolonel LN, Marchand LL, Henderson BE, Haiman CA, Stram DO. Methodological Considerations in Estimation of Phenotype Heritability Using Genome-Wide SNP Data, Illustrated by an Analysis of the Heritability of Height in a Large Sample of African Ancestry Adults. PLoS One 2015; 10:e0131106. [PMID: 26125186 PMCID: PMC4488332 DOI: 10.1371/journal.pone.0131106] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2014] [Accepted: 05/28/2015] [Indexed: 01/02/2023] Open
Abstract
Height has an extremely polygenic pattern of inheritance. Genome-wide association studies (GWAS) have revealed hundreds of common variants that are associated with human height at genome-wide levels of significance. However, only a small fraction of phenotypic variation can be explained by the aggregate of these common variants. In a large study of African-American men and women (n = 14,419), we genotyped and analyzed 966,578 autosomal SNPs across the entire genome using a linear mixed model variance components approach implemented in the program GCTA (Yang et al Nat Genet 2010), and estimated an additive heritability of 44.7% (se: 3.7%) for this phenotype in a sample of evidently unrelated individuals. While this estimated value is similar to that given by Yang et al in their analyses, we remain concerned about two related issues: (1) whether in the complete absence of hidden relatedness, variance components methods have adequate power to estimate heritability when a very large number of SNPs are used in the analysis; and (2) whether estimation of heritability may be biased, in real studies, by low levels of residual hidden relatedness. We addressed the first question in a semi-analytic fashion by directly simulating the distribution of the score statistic for a test of zero heritability with and without low levels of relatedness. The second question was addressed by a very careful comparison of the behavior of estimated heritability for both observed (self-reported) height and simulated phenotypes compared to imputation R2 as a function of the number of SNPs used in the analysis. These simulations help to address the important question about whether today's GWAS SNPs will remain useful for imputing causal variants that are discovered using very large sample sizes in future studies of height, or whether the causal variants themselves will need to be genotyped de novo in order to build a prediction model that ultimately captures a large fraction of the variability of height, and by implication other complex phenotypes. Our overall conclusions are that when study sizes are quite large (5,000 or so) the additive heritability estimate for height is not apparently biased upwards using the linear mixed model; however there is evidence in our simulation that a very large number of causal variants (many thousands) each with very small effect on phenotypic variance will need to be discovered to fill the gap between the heritability explained by known versus unknown causal variants. We conclude that today's GWAS data will remain useful in the future for causal variant prediction, but that finding the causal variants that need to be predicted may be extremely laborious.
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Affiliation(s)
- Fang Chen
- Department of Preventive Medicine, Keck School of Medicine and Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA, United States of America
| | - Jing He
- Department of Preventive Medicine, Keck School of Medicine and Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA, United States of America
| | - Jianqi Zhang
- Department of Preventive Medicine, Keck School of Medicine and Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA, United States of America
| | - Gary K. Chen
- Department of Preventive Medicine, Keck School of Medicine and Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA, United States of America
| | - Venetta Thomas
- Sylvester Comprehensive Cancer Center and Department of Epidemiology and Public Health, University of Miami Miller School of Medicine, Miami, FL, United States of America
| | - Christine B. Ambrosone
- Department of Cancer Prevention and Control, Roswell Park Cancer Institute, Buffalo, NY, United States of America
| | - Elisa V. Bandera
- The Cancer Institute of New Jersey, New Brunswick, NJ, United States of America
| | - Sonja I. Berndt
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, United States of America
| | - Leslie Bernstein
- Division of Cancer Etiology, Department of Population Science, Beckman Research Institute, City of Hope, CA, United States of America
| | - William J. Blot
- International Epidemiology Institute, Rockville, MD, United States of America
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt University and the Vanderbilt-Ingram Cancer Center, Nashville, TN, United States of America
| | - Qiuyin Cai
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt University and the Vanderbilt-Ingram Cancer Center, Nashville, TN, United States of America
| | - John Carpten
- The Translational Genomics Research Institute, Phoenix, AZ, United States of America
| | - Graham Casey
- Department of Preventive Medicine, Keck School of Medicine and Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA, United States of America
| | - Stephen J. Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, United States of America
| | - Iona Cheng
- Epidemiology Program, Cancer Research Center, University of Hawaii, Honolulu, HI, United States of America
| | - Lisa Chu
- Cancer Prevention Institute of California, Fremont, CA, United States of America
| | - Sandra L. Deming
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt University and the Vanderbilt-Ingram Cancer Center, Nashville, TN, United States of America
| | - W. Ryan Driver
- Epidemiology Research Program, American Cancer Society, Atlanta, GA, United States of America
| | - Phyllis Goodman
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, United States of America
| | - Richard B. Hayes
- Division of Epidemiology, Department of Environmental Medicine, New York University Langone Medical Center, New York, NY, United States of America
| | - Anselm J. M. Hennis
- Chronic Disease Research Centre and Faculty of Medical Sciences, University of the West Indies, Bridgetown, Barbados
- Department of Preventive Medicine, Stony Brook University, Stony Brook, NY, United States of America
| | - Ann W. Hsing
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, United States of America
| | - Jennifer J. Hu
- Sylvester Comprehensive Cancer Center and Department of Epidemiology and Public Health, University of Miami Miller School of Medicine, Miami, FL, United States of America
| | - Sue A. Ingles
- Department of Preventive Medicine, Keck School of Medicine and Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA, United States of America
| | - Esther M. John
- Cancer Prevention Institute of California, Fremont, CA, United States of America
- Division of Epidemiology, Department of Health Research & Policy, Stanford University School of Medicine and Stanford Cancer Institute, Stanford, CA, United States of America
| | - Rick A. Kittles
- Department of Medicine, University of Illinois at Chicago, Chicago, IL, United States of America
| | - Suzanne Kolb
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, United States of America
| | - M. Cristina Leske
- Department of Preventive Medicine, Stony Brook University, Stony Brook, NY, United States of America
| | - Robert C. Millikan
- Department of Epidemiology, Gillings School of Global Public Health, and Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC, United States of America
| | - Kristine R. Monroe
- Department of Preventive Medicine, Keck School of Medicine and Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA, United States of America
| | - Adam Murphy
- Department of Urology, Northwestern University, Chicago, IL, United States of America
| | - Barbara Nemesure
- Department of Preventive Medicine, Stony Brook University, Stony Brook, NY, United States of America
| | - Christine Neslund-Dudas
- Department of Biostatistics and Research Epidemiology, Henry Ford Hospital, Detroit, MI, United States of America
| | - Sarah Nyante
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, United States of America
| | - Elaine A Ostrander
- Cancer Genetics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, United States of America
| | - Michael F. Press
- Department of Pathology, Keck School of Medicine and Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA, United States of America
| | - Jorge L. Rodriguez-Gil
- Sylvester Comprehensive Cancer Center and Department of Epidemiology and Public Health, University of Miami Miller School of Medicine, Miami, FL, United States of America
| | - Ben A. Rybicki
- Department of Biostatistics and Research Epidemiology, Henry Ford Hospital, Detroit, MI, United States of America
| | - Fredrick Schumacher
- Department of Preventive Medicine, Keck School of Medicine and Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA, United States of America
| | - Janet L. Stanford
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, United States of America
| | - Lisa B. Signorello
- Department of Epidemiology, Harvard School of Public Health, Boston, MA, United States of America
| | - Sara S. Strom
- Department of Epidemiology, The University of Texas M.D. Anderson Cancer Center, Houston, TX, United States of America
| | - Victoria Stevens
- Epidemiology Research Program, American Cancer Society, Atlanta, GA, United States of America
| | - David Van Den Berg
- Department of Preventive Medicine, Keck School of Medicine and Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA, United States of America
| | - Zhaoming Wang
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, United States of America
| | - John S. Witte
- Institute for Human Genetics, Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, United States of America
| | - Suh-Yuh Wu
- Department of Preventive Medicine, Stony Brook University, Stony Brook, NY, United States of America
| | - Yuko Yamamura
- Institute for Human Genetics, Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, United States of America
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt University and the Vanderbilt-Ingram Cancer Center, Nashville, TN, United States of America
| | - Regina G. Ziegler
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, United States of America
| | - Alexander H. Stram
- Department of Preventive Medicine, Keck School of Medicine and Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA, United States of America
| | - Laurence N. Kolonel
- Epidemiology Program, Cancer Research Center, University of Hawaii, Honolulu, HI, United States of America
| | - Loïc Le Marchand
- Epidemiology Program, Cancer Research Center, University of Hawaii, Honolulu, HI, United States of America
| | - Brian E. Henderson
- Department of Preventive Medicine, Keck School of Medicine and Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA, United States of America
| | - Christopher A. Haiman
- Department of Preventive Medicine, Keck School of Medicine and Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA, United States of America
| | - Daniel O. Stram
- Department of Preventive Medicine, Keck School of Medicine and Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA, United States of America
- * E-mail:
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9
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Feng Y, Stram DO, Rhie SK, Millikan RC, Ambrosone CB, John EM, Bernstein L, Zheng W, Olshan AF, Hu JJ, Ziegler RG, Nyante S, Bandera EV, Ingles SA, Press MF, Deming SL, Rodriguez-Gil JL, Palmer JR, Olopade OI, Huo D, Adebamowo CA, Ogundiran T, Chen GK, Stram A, Park K, Rand KA, Chanock SJ, Le Marchand L, Kolonel LN, Conti DV, Easton D, Henderson BE, Haiman CA. A comprehensive examination of breast cancer risk loci in African American women. Hum Mol Genet 2014; 23:5518-26. [PMID: 24852375 PMCID: PMC4168823 DOI: 10.1093/hmg/ddu252] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2013] [Revised: 05/04/2014] [Accepted: 05/19/2014] [Indexed: 12/18/2022] Open
Abstract
Genome-wide association studies have identified 73 breast cancer risk variants mainly in European populations. Given considerable differences in linkage disequilibrium structure between populations of European and African ancestry, the known risk variants may not be informative for risk in African ancestry populations. In a previous fine-mapping investigation of 19 breast cancer loci, we were able to identify SNPs in four regions that better captured risk associations in African American women. In this study of breast cancer in African American women (3016 cases, 2745 controls), we tested an additional 54 novel breast cancer risk variants. Thirty-eight variants (70%) were found to have an association with breast cancer in the same direction as previously reported, with eight (15%) replicating at P < 0.05. Through fine-mapping, in three regions (1q32, 3p24, 10q25), we identified variants that better captured associations with overall breast cancer or estrogen receptor positive disease. We also observed suggestive associations with variants (at P < 5 × 10(-6)) in three separate regions (6q25, 14q13, 22q12) that may represent novel risk variants. Directional consistency of association observed for ∼65-70% of currently known genetic variants for breast cancer in women of African ancestry implies a shared functional common variant at most loci. To validate and enhance the spectrum of alleles that define associations at the known breast cancer risk loci, as well as genome-wide, will require even larger collaborative efforts in women of African ancestry.
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Affiliation(s)
- Ye Feng
- Department of Preventive Medicine, Keck School of Medicine and Norris Comprehensive Cancer Center and
| | - Daniel O Stram
- Department of Preventive Medicine, Keck School of Medicine and Norris Comprehensive Cancer Center and
| | - Suhn Kyong Rhie
- Department of Preventive Medicine, Keck School of Medicine and Norris Comprehensive Cancer Center and
| | - Robert C Millikan
- Department of Epidemiology, Gillings School of Global Public Health, and Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC, USA
| | - Christine B Ambrosone
- Department of Cancer Prevention and Control, Roswell Park Cancer Institute, Buffalo, NY, USA
| | - Esther M John
- Cancer Prevention Institute of California, Fremont, CA, USA Division of Epidemiology, Department of Health Research & Policy, and Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA, USA
| | - Leslie Bernstein
- Division of Cancer Etiology, Department of Population Science, Beckman Research Institute, City of Hope, Duarte, CA, USA
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, and Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Andrew F Olshan
- Department of Epidemiology, Gillings School of Global Public Health, and Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC, USA
| | - Jennifer J Hu
- Sylvester Comprehensive Cancer Center and Department of Epidemiology and Public Health, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Regina G Ziegler
- Epidemiology and Biostatistics Program, Division of Cancer Epidemiology and Genetics and
| | - Sarah Nyante
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Elisa V Bandera
- Rutgers Cancer Institute of New Jersey, New Brunswick, NJ, USA
| | - Sue A Ingles
- Department of Preventive Medicine, Keck School of Medicine and Norris Comprehensive Cancer Center and
| | - Michael F Press
- Department of Pathology, Keck School of Medicine and Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA, USA
| | - Sandra L Deming
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, and Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Jorge L Rodriguez-Gil
- Sylvester Comprehensive Cancer Center and Department of Epidemiology and Public Health, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Julie R Palmer
- Slone Epidemiology Center at Boston University, Boston, MA, USA
| | | | - Dezheng Huo
- Department of Health Studies, University of Chicago, Chicago, IL, USA
| | - Clement A Adebamowo
- Department of Epidemiology & Preventive Medicine, University of Maryland, Baltimore, MD, USA
| | - Temidayo Ogundiran
- Department of Surgery, College of Medicine, University of Ibadan, Ibadan, Nigeria
| | - Gary K Chen
- Department of Preventive Medicine, Keck School of Medicine and Norris Comprehensive Cancer Center and
| | - Alex Stram
- Department of Preventive Medicine, Keck School of Medicine and Norris Comprehensive Cancer Center and
| | - Karen Park
- Department of Preventive Medicine, Keck School of Medicine and Norris Comprehensive Cancer Center and
| | - Kristin A Rand
- Department of Preventive Medicine, Keck School of Medicine and Norris Comprehensive Cancer Center and
| | - Stephen J Chanock
- Epidemiology and Biostatistics Program, Division of Cancer Epidemiology and Genetics and
| | - Loic Le Marchand
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI, USA
| | - Laurence N Kolonel
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI, USA
| | - David V Conti
- Department of Preventive Medicine, Keck School of Medicine and Norris Comprehensive Cancer Center and
| | - Douglas Easton
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Brian E Henderson
- Department of Preventive Medicine, Keck School of Medicine and Norris Comprehensive Cancer Center and
| | - Christopher A Haiman
- Department of Preventive Medicine, Keck School of Medicine and Norris Comprehensive Cancer Center and
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10
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Feng Y, Chen GK, Stram DO, Millikan RC, Ambrosone CB, John EM, Bernstein L, Zheng W, Olshan AF, Hu JJ, Ziegler RG, Nyante S, Bandera EV, Ingles SA, Press MF, Deming SL, Rodriguez-Gil JL, Palmer JR, Olopade OI, Huo D, Adebamowo CA, Ogundiran T, Stram A, Park K, Rand KA, Chanock SJ, Marchand LL, Kolonel LN, Conti DV, Easton D, Henderson BE, Haiman CA. Abstract 943: A comprehensive examination of breast cancer risk loci in African American women. Cancer Res 2014. [DOI: 10.1158/1538-7445.am2014-943] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Genome-wide association studies have identified 73 breast cancer risk variants mainly in European populations. Given considerable differences in linkage disequilibrium structure between populations of European and African ancestry, the known risk variants may not be informative for risk in African populations. In a previous fine-mapping investigation of 19 breast cancer loci, we were able to identify SNPs in 4 regions that better defined risk associations in African American women. In this study of breast cancer in African American women (3,016 cases, 2,745 controls), we tested an additional 54 novel breast cancer risk variants. Thirty-eight variants (70%) showed an association with breast cancer in the same direction as previously reported, with eight (15%) replicating at p<0.05. Through fine-mapping, in three regions (1q32, 3p24, 10q25) we identified variants that better captured associations with overall breast cancer or estrogen receptor positive disease. We also observed suggestive associations with variants (at p<5×10-6) in three separate regions (6q25, 14q13, 22q12) that may represent novel risk variants, with one variant at the PAX9 locus replicating in an independent sample (1,657 cases and 2,028 controls of African ancestry; rs17104923, p=0.057). Directional consistency of association observed for ∼65-70% of currently known genetic variants for breast cancer in women of African ancestry implies a shared functional common variant at most loci. To validate and enhance the spectrum of alleles that define associations at the known breast cancer risk loci, as well as genome-wide, will require even larger collaborative efforts in women of African ancestry.
Citation Format: Ye Feng, Gary K. Chen, Daniel O. Stram, Robert C. Millikan, Christine B. Ambrosone, Esther M. John, Leslie Bernstein, Wei Zheng, Andrew F. Olshan, Jennifer J. Hu, Regina G. Ziegler, Sarah Nyante, Elisa V. Bandera, Sue A. Ingles, Michael F. Press, Sandra L. Deming, Jorge L. Rodriguez-Gil, Julie R. Palmer, Olufunmilayo I. Olopade, Dezheng Huo, Clement A. Adebamowo, Temidayo Ogundiran, Alex Stram, Karen Park, Kristin A. Rand, Stephen J. Chanock, Loic Le Marchand, Laurence N. Kolonel, David V. Conti, Douglas Easton, Brian E. Henderson, Christopher A. Haiman. A comprehensive examination of breast cancer risk loci in African American women. [abstract]. In: Proceedings of the 105th Annual Meeting of the American Association for Cancer Research; 2014 Apr 5-9; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2014;74(19 Suppl):Abstract nr 943. doi:10.1158/1538-7445.AM2014-943
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Affiliation(s)
- Ye Feng
- 1University of Southern California, Los Angeles, CA
| | - Gary K. Chen
- 1University of Southern California, Los Angeles, CA
| | | | | | | | | | | | - Wei Zheng
- 6Vanderbilt University School of Medicine, Nashville, TN
| | | | - Jennifer J. Hu
- 7University of Miami Miller School of Medicine, Miami, FL
| | | | | | | | | | | | | | | | - Julie R. Palmer
- 10Slone Epidemiology Center at Boston University, Boston, MA
| | | | | | | | | | - Alex Stram
- 1University of Southern California, Los Angeles, CA
| | - Karen Park
- 1University of Southern California, Los Angeles, CA
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11
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Chen CTL, Liu CT, Chen GK, Andrews JS, Arnold AM, Dreyfus J, Franceschini N, Garcia ME, Kerr KF, Li G, Lohman KK, Musani SK, Nalls MA, Raffel LJ, Smith J, Ambrosone CB, Bandera EV, Bernstein L, Britton A, Brzyski RG, Cappola A, Carlson CS, Couper D, Deming SL, Goodarzi MO, Heiss G, John EM, Lu X, Le Marchand L, Marciante K, Mcknight B, Millikan R, Nock NL, Olshan AF, Press MF, Vaiyda D, Woods NF, Taylor HA, Zhao W, Zheng W, Evans MK, Harris TB, Henderson BE, Kardia SLR, Kooperberg C, Liu Y, Mosley TH, Psaty B, Wellons M, Windham BG, Zonderman AB, Cupples LA, Demerath EW, Haiman C, Murabito JM, Rajkovic A. Meta-analysis of loci associated with age at natural menopause in African-American women. Hum Mol Genet 2014; 23:3327-42. [PMID: 24493794 PMCID: PMC4030781 DOI: 10.1093/hmg/ddu041] [Citation(s) in RCA: 43] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2014] [Revised: 01/11/2014] [Accepted: 01/27/2014] [Indexed: 12/23/2022] Open
Abstract
Age at menopause marks the end of a woman's reproductive life and its timing associates with risks for cancer, cardiovascular and bone disorders. GWAS and candidate gene studies conducted in women of European ancestry have identified 27 loci associated with age at menopause. The relevance of these loci to women of African ancestry has not been previously studied. We therefore sought to uncover additional menopause loci and investigate the relevance of European menopause loci by performing a GWAS meta-analysis in 6510 women with African ancestry derived from 11 studies across the USA. We did not identify any additional loci significantly associated with age at menopause in African Americans. We replicated the associations between six loci and age at menopause (P-value < 0.05): AMHR2, RHBLD2, PRIM1, HK3/UMC1, BRSK1/TMEM150B and MCM8. In addition, associations of 14 loci are directionally consistent with previous reports. We provide evidence that genetic variants influencing reproductive traits identified in European populations are also important in women of African ancestry residing in USA.
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Affiliation(s)
- Christina T L Chen
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
| | - Ching-Ti Liu
- Department of Biostatistics, School of Public Health, Boston University, Boston, MA 02118, USA National Heart, Lung and Blood Institute's Framingham Heart Study, Framingham, MA 01702, USA
| | | | - Jeanette S Andrews
- Department of Biostatistical Sciences, Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, NC 27157, USA
| | | | - Jill Dreyfus
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN 55455, USA
| | | | - Melissa E Garcia
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, Bethesda, MD 20814, USA
| | | | - Guo Li
- Department of Medicine, University of Washington, Seattle, WA 98195, USA
| | - Kurt K Lohman
- Department of Biostatistical Sciences, Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, NC 27157, USA
| | - Solomon K Musani
- University of Mississippi Medical Center, Jackson, MS 39216, USA
| | - Michael A Nalls
- Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD 20892, USA
| | | | - Jennifer Smith
- Department of Epidemiology, University of Michigan, Ann Arbor, MI 48109, USA
| | - Christine B Ambrosone
- Department of Cancer Prevention and Control, Roswell Park Cancer Institute, Buffalo, NY 14263, USA
| | - Elisa V Bandera
- The Cancer Institute of New Jersey, New Brunswick, NJ 08903, USA
| | - Leslie Bernstein
- Division of Cancer Etiology, Department of Population Science, Beckman Research Institute, City of Hope, Duarte, CA 91010, USA
| | - Angela Britton
- Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD 20892, USA
| | - Robert G Brzyski
- Department of Obstetrics and Gynecology, University of Texas Health Science Center, San Antonio, TX 78229, USA
| | - Anne Cappola
- Division of Endocrinology, Diabetes, and Metabolism, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Christopher S Carlson
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
| | - David Couper
- Department of Biostatistics, Gillings School of Global Public Health
| | - Sandra L Deming
- Division of Epidemiology, Department of Medicine, Vanderbilt University School of Medicine, Nashville, TN 37232, USA
| | - Mark O Goodarzi
- Division of Endocrinology, Diabetes, and Metabolism, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA
| | - Gerardo Heiss
- Department of Epidemiology, Gillings School of Global Public Health
| | - Esther M John
- Division of Epidemiology, Department of Health Research & Policy, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Xiaoning Lu
- Department of Biostatistics, School of Public Health, Boston University, Boston, MA 02118, USA Division of Clinical Informatics, Beth Israel Deaconess Medical Center, Boston, MA 02118, USA
| | - Loic Le Marchand
- Epidemiology Program, Cancer Research Center, University of Hawaii, Honolulu, HI 96813, USA
| | - Kristin Marciante
- Department of Medicine, University of Washington, Seattle, WA 98195, USA
| | | | - Robert Millikan
- Department of Epidemiology, Gillings School of Global Public Health Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC 27514, USA
| | - Nora L Nock
- Department of Epidemiology and Biostatistics, Case Western University, Cleveland, OH 44106, USA
| | - Andrew F Olshan
- Department of Epidemiology, Gillings School of Global Public Health Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC 27514, USA
| | - Michael F Press
- Department of Pathology, Keck School of Medicine and Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA 90089, USA
| | - Dhananjay Vaiyda
- Department of Medicine, Johns Hopkins University, Baltimore, MD 21287, USA
| | - Nancy F Woods
- Biobehavioral Nursing and Health Systems, University of Washington, Seattle, WA 98109, USA
| | - Herman A Taylor
- University of Mississippi Medical Center, Jackson, MS 39216, USA
| | - Wei Zhao
- Department of Epidemiology, University of Michigan, Ann Arbor, MI 48109, USA
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt University School of Medicine, Nashville, TN 37232, USA
| | - Michele K Evans
- Health Disparities Research Section, Clinical Research Branch
| | - Tamara B Harris
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, Bethesda, MD 20814, USA
| | | | - Sharon L R Kardia
- Department of Epidemiology, University of Michigan, Ann Arbor, MI 48109, USA
| | - Charles Kooperberg
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
| | - Yongmei Liu
- Department of Epidemiology and Prevention, Division of Public Health Sciences, Wake Forest University School of Medicine, Winston-Salem, NC 27157, USA
| | - Thomas H Mosley
- Division of Geriatric Medicine, University of Mississippi Medical Center, Jackson, MS 39216, USA
| | - Bruce Psaty
- Departments of Medicine, Epidemiology and Health Services, University of Washington and Group Health Research Institute, Seattle, WA, USA
| | - Melissa Wellons
- School of Medicine, Vanderbilt University, Nashville, TN 37240, USA
| | - Beverly G Windham
- Division of Geriatric Medicine, University of Mississippi Medical Center, Jackson, MS 39216, USA
| | - Alan B Zonderman
- Laboratory of Personality and Cognition, National Institute on Aging, National Institutes of Health, Baltimore, MD 21224, USA
| | - L Adrienne Cupples
- Department of Biostatistics, School of Public Health, Boston University, Boston, MA 02118, USA National Heart, Lung and Blood Institute's Framingham Heart Study, Framingham, MA 01702, USA
| | - Ellen W Demerath
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN 55455, USA
| | | | - Joanne M Murabito
- National Heart, Lung and Blood Institute's Framingham Heart Study, Framingham, MA 01702, USA Department of Medicine, Section of General Internal Medicine, Boston University School of Medicine, Boston, MA, USA
| | - Aleksandar Rajkovic
- Department of Obstetrics, Gynecology and Reproductive Science, University of Pittsburgh, Pittsburgh, PA 15213, USA
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12
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Demerath EW, Liu CT, Franceschini N, Chen G, Palmer JR, Smith EN, Chen CTL, Ambrosone CB, Arnold AM, Bandera EV, Berenson GS, Bernstein L, Britton A, Cappola AR, Carlson CS, Chanock SJ, Chen W, Chen Z, Deming SL, Elks CE, Evans MK, Gajdos Z, Henderson BE, Hu JJ, Ingles S, John EM, Kerr KF, Kolonel LN, Le Marchand L, Lu X, Millikan RC, Musani SK, Nock NL, North K, Nyante S, Press MF, Rodriquez-Gil JL, Ruiz-Narvaez EA, Schork NJ, Srinivasan SR, Woods NF, Zheng W, Ziegler RG, Zonderman A, Heiss G, Gwen Windham B, Wellons M, Murray SS, Nalls M, Pastinen T, Rajkovic A, Hirschhorn J, Adrienne Cupples L, Kooperberg C, Murabito JM, Haiman CA. Genome-wide association study of age at menarche in African-American women. Hum Mol Genet 2013; 22:3329-46. [PMID: 23599027 DOI: 10.1093/hmg/ddt181] [Citation(s) in RCA: 38] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022] Open
Abstract
African-American (AA) women have earlier menarche on average than women of European ancestry (EA), and earlier menarche is a risk factor for obesity and type 2 diabetes among other chronic diseases. Identification of common genetic variants associated with age at menarche has a potential value in pointing to the genetic pathways underlying chronic disease risk, yet comprehensive genome-wide studies of age at menarche are lacking for AA women. In this study, we tested the genome-wide association of self-reported age at menarche with common single-nucleotide polymorphisms (SNPs) in a total of 18 089 AA women in 15 studies using an additive genetic linear regression model, adjusting for year of birth and population stratification, followed by inverse-variance weighted meta-analysis (Stage 1). Top meta-analysis results were then tested in an independent sample of 2850 women (Stage 2). First, while no SNP passed the pre-specified P < 5 × 10(-8) threshold for significance in Stage 1, suggestive associations were found for variants near FLRT2 and PIK3R1, and conditional analysis identified two independent SNPs (rs339978 and rs980000) in or near RORA, strengthening the support for this suggestive locus identified in EA women. Secondly, an investigation of SNPs in 42 previously identified menarche loci in EA women demonstrated that 25 (60%) of them contained variants significantly associated with menarche in AA women. The findings provide the first evidence of cross-ethnic generalization of menarche loci identified to date, and suggest a number of novel biological links to menarche timing in AA women.
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Affiliation(s)
- Ellen W Demerath
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN, USA.
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13
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Song C, Chen GK, Millikan RC, Ambrosone CB, John EM, Bernstein L, Zheng W, Hu JJ, Ziegler RG, Nyante S, Bandera EV, Ingles SA, Press MF, Deming SL, Rodriguez-Gil JL, Chanock SJ, Wan P, Sheng X, Pooler LC, Van Den Berg DJ, Le Marchand L, Kolonel LN, Henderson BE, Haiman CA, Stram DO. A genome-wide scan for breast cancer risk haplotypes among African American women. PLoS One 2013; 8:e57298. [PMID: 23468962 PMCID: PMC3585353 DOI: 10.1371/journal.pone.0057298] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2012] [Accepted: 01/23/2013] [Indexed: 12/03/2022] Open
Abstract
Genome-wide association studies (GWAS) simultaneously investigating hundreds of thousands of single nucleotide polymorphisms (SNP) have become a powerful tool in the investigation of new disease susceptibility loci. Haplotypes are sometimes thought to be superior to SNPs and are promising in genetic association analyses. The application of genome-wide haplotype analysis, however, is hindered by the complexity of haplotypes themselves and sophistication in computation. We systematically analyzed the haplotype effects for breast cancer risk among 5,761 African American women (3,016 cases and 2,745 controls) using a sliding window approach on the genome-wide scale. Three regions on chromosomes 1, 4 and 18 exhibited moderate haplotype effects. Furthermore, among 21 breast cancer susceptibility loci previously established in European populations, 10p15 and 14q24 are likely to harbor novel haplotype effects. We also proposed a heuristic of determining the significance level and the effective number of independent tests by the permutation analysis on chromosome 22 data. It suggests that the effective number was approximately half of the total (7,794 out of 15,645), thus the half number could serve as a quick reference to evaluating genome-wide significance if a similar sliding window approach of haplotype analysis is adopted in similar populations using similar genotype density.
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Affiliation(s)
- Chi Song
- Department of Preventive Medicine, Keck School of Medicine and Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, California, United States of America
| | - Gary K. Chen
- Department of Preventive Medicine, Keck School of Medicine and Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, California, United States of America
| | - Robert C. Millikan
- Department of Epidemiology, Gillings School of Global Public Health, and Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, North Carolina, United States of America
| | - Christine B. Ambrosone
- Department of Cancer Prevention and Control, Roswell Park Cancer Institute, Buffalo, New York, United States of America
| | - Esther M. John
- Cancer Prevention Institute of California, Fremont, California, United States of America
- Stanford University School of Medicine and Stanford Cancer Institute, Stanford, California, United States of America
| | - Leslie Bernstein
- Division of Cancer Etiology, Department of Population Science, Beckman Research Institute, City of Hope, Duarte, California, United States of America
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, and Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, Tennessee, United States of America
| | - Jennifer J. Hu
- Sylvester Comprehensive Cancer Center and Department of Epidemiology and Public Health, University of Miami Miller School of Medicine, Miami, Florida, United States of America
| | - Regina G. Ziegler
- Epidemiology and Biostatistics Program, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, United States of America
| | - Sarah Nyante
- Department of Epidemiology, Gillings School of Global Public Health, and Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, North Carolina, United States of America
| | - Elisa V. Bandera
- The Cancer Institute of New Jersey, New Brunswick, New Jersey, United States of America
| | - Sue A. Ingles
- Department of Preventive Medicine, Keck School of Medicine and Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, California, United States of America
| | - Michael F. Press
- Department of Pathology, Keck School of Medicine and Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, California, United States of America
| | - Sandra L. Deming
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, and Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, Tennessee, United States of America
| | - Jorge L. Rodriguez-Gil
- Sylvester Comprehensive Cancer Center and Department of Epidemiology and Public Health, University of Miami Miller School of Medicine, Miami, Florida, United States of America
| | - Stephen J. Chanock
- Epidemiology and Biostatistics Program, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, United States of America
| | - Peggy Wan
- Department of Preventive Medicine, Keck School of Medicine and Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, California, United States of America
| | - Xin Sheng
- Department of Preventive Medicine, Keck School of Medicine and Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, California, United States of America
| | - Loreall C. Pooler
- Department of Preventive Medicine, Keck School of Medicine and Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, California, United States of America
| | - David J. Van Den Berg
- Department of Preventive Medicine, Keck School of Medicine and Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, California, United States of America
- Epigenome Center, Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, California, United States of America
| | - Loic Le Marchand
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, Hawaii, United States of America
| | - Laurence N. Kolonel
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, Hawaii, United States of America
| | - Brian E. Henderson
- Department of Preventive Medicine, Keck School of Medicine and Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, California, United States of America
| | - Chris A. Haiman
- Department of Preventive Medicine, Keck School of Medicine and Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, California, United States of America
| | - Daniel O. Stram
- Department of Preventive Medicine, Keck School of Medicine and Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, California, United States of America
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14
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Siddiq A, Couch FJ, Chen GK, Lindström S, Eccles D, Millikan RC, Michailidou K, Stram DO, Beckmann L, Rhie SK, Ambrosone CB, Aittomäki K, Amiano P, Apicella C, Baglietto L, Bandera EV, Beckmann MW, Berg CD, Bernstein L, Blomqvist C, Brauch H, Brinton L, Bui QM, Buring JE, Buys SS, Campa D, Carpenter JE, Chasman DI, Chang-Claude J, Chen C, Clavel-Chapelon F, Cox A, Cross SS, Czene K, Deming SL, Diasio RB, Diver WR, Dunning AM, Durcan L, Ekici AB, Fasching PA, Feigelson HS, Fejerman L, Figueroa JD, Fletcher O, Flesch-Janys D, Gaudet MM, Gerty SM, Rodriguez-Gil JL, Giles GG, van Gils CH, Godwin AK, Graham N, Greco D, Hall P, Hankinson SE, Hartmann A, Hein R, Heinz J, Hoover RN, Hopper JL, Hu JJ, Huntsman S, Ingles SA, Irwanto A, Isaacs C, Jacobs KB, John EM, Justenhoven C, Kaaks R, Kolonel LN, Coetzee GA, Lathrop M, Le Marchand L, Lee AM, Lee IM, Lesnick T, Lichtner P, Liu J, Lund E, Makalic E, Martin NG, McLean CA, Meijers-Heijboer H, Meindl A, Miron P, Monroe KR, Montgomery GW, Müller-Myhsok B, Nickels S, Nyante SJ, Olswold C, Overvad K, Palli D, Park DJ, Palmer JR, Pathak H, Peto J, Pharoah P, Rahman N, Rivadeneira F, Schmidt DF, Schmutzler RK, Slager S, Southey MC, Stevens KN, Sinn HP, Press MF, Ross E, Riboli E, Ridker PM, Schumacher FR, Severi G, dos Santos Silva I, Stone J, Sund M, Tapper WJ, Thun MJ, Travis RC, Turnbull C, Uitterlinden AG, Waisfisz Q, Wang X, Wang Z, Weaver J, Schulz-Wendtland R, Wilkens LR, Van Den Berg D, Zheng W, Ziegler RG, Ziv E, Nevanlinna H, Easton DF, Hunter DJ, Henderson BE, Chanock SJ, Garcia-Closas M, Kraft P, Haiman CA, Vachon CM. A meta-analysis of genome-wide association studies of breast cancer identifies two novel susceptibility loci at 6q14 and 20q11. Hum Mol Genet 2012; 21:5373-84. [PMID: 22976474 PMCID: PMC3510753 DOI: 10.1093/hmg/dds381] [Citation(s) in RCA: 144] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2012] [Accepted: 09/06/2012] [Indexed: 11/14/2022] Open
Abstract
Genome-wide association studies (GWAS) of breast cancer defined by hormone receptor status have revealed loci contributing to susceptibility of estrogen receptor (ER)-negative subtypes. To identify additional genetic variants for ER-negative breast cancer, we conducted the largest meta-analysis of ER-negative disease to date, comprising 4754 ER-negative cases and 31 663 controls from three GWAS: NCI Breast and Prostate Cancer Cohort Consortium (BPC3) (2188 ER-negative cases; 25 519 controls of European ancestry), Triple Negative Breast Cancer Consortium (TNBCC) (1562 triple negative cases; 3399 controls of European ancestry) and African American Breast Cancer Consortium (AABC) (1004 ER-negative cases; 2745 controls). We performed in silico replication of 86 SNPs at P ≤ 1 × 10(-5) in an additional 11 209 breast cancer cases (946 with ER-negative disease) and 16 057 controls of Japanese, Latino and European ancestry. We identified two novel loci for breast cancer at 20q11 and 6q14. SNP rs2284378 at 20q11 was associated with ER-negative breast cancer (combined two-stage OR = 1.16; P = 1.1 × 10(-8)) but showed a weaker association with overall breast cancer (OR = 1.08, P = 1.3 × 10(-6)) based on 17 869 cases and 43 745 controls and no association with ER-positive disease (OR = 1.01, P = 0.67) based on 9965 cases and 22 902 controls. Similarly, rs17530068 at 6q14 was associated with breast cancer (OR = 1.12; P = 1.1 × 10(-9)), and with both ER-positive (OR = 1.09; P = 1.5 × 10(-5)) and ER-negative (OR = 1.16, P = 2.5 × 10(-7)) disease. We also confirmed three known loci associated with ER-negative (19p13) and both ER-negative and ER-positive breast cancer (6q25 and 12p11). Our results highlight the value of large-scale collaborative studies to identify novel breast cancer risk loci.
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Affiliation(s)
- Afshan Siddiq
- Department of Epidemiology and Biostatistics and
- Department of Genomics of Common Disease, School of Public Health, Imperial College London, London, UK
| | - Fergus J. Couch
- Department of Health Sciences Research
- Department of Laboratory Medicine and Pathology and
| | | | | | - Diana Eccles
- Faculty of Medicine, University of Southampton, Southampton, UK
| | - Robert C. Millikan
- Department of Epidemiology, Gillings School of Global Public Health, and Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC, USA
| | - Kyriaki Michailidou
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care and
| | | | - Lars Beckmann
- Institute for Quality and Efficiency in Health Care, IQWiG, Cologne, Germany
| | | | - Christine B. Ambrosone
- Department of Cancer Prevention and Control, Roswell Park Cancer Institute, Buffalo, NY, USA
| | | | - Pilar Amiano
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain
| | - Carmel Apicella
- Centre for Molecular, Environmental, Genetic, and Analytic Epidemiology, Melbourne School of Population Health and
| | | | - Laura Baglietto
- Centre for Molecular, Environmental, Genetic, and Analytic Epidemiology, Melbourne School of Population Health and
- Cancer Epidemiology Centre, The Cancer Council Victoria, Melbourne, Australia
| | | | - Matthias W. Beckmann
- Department of Gynecology and Obstetrics, Friedrich-Alexander University Erlangen-Nuremberg, University Hospital Erlangen, University Breast Center Franconia, Erlangen, Germany
| | | | - Leslie Bernstein
- Division of Cancer Etiology, Department of Population Science, Beckman Research Institute, City of Hope, CA, USA
| | - Carl Blomqvist
- Department of Oncology, Helsinki University Central Hospital, Helsinki, Finland
| | - Hiltrud Brauch
- Dr Margarete Fischer-Bosch-Institute of Clinical Pharmacology and
| | - Louise Brinton
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Quang M. Bui
- Centre for Molecular, Environmental, Genetic, and Analytic Epidemiology, Melbourne School of Population Health and
| | - Julie E. Buring
- Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Saundra S. Buys
- Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA
| | | | - Jane E. Carpenter
- Australian Breast Cancer Tissue Bank, Westmead Millennium Institute and
| | - Daniel I. Chasman
- Division of Preventive Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | | | | | - Françoise Clavel-Chapelon
- INSERM UMR 1018, Team 9: Nutrition, Hormones et Santé desfemmes, Centre de Recherche en Epidémiologie et Santé des Populations, Hôpital Paul Brousse, Villejuif, France
| | - Angela Cox
- Institute for Cancer Studies, Department of Oncology and
| | - Simon S. Cross
- Academic Unit of Pathology, Department of Neuroscience, Faculty of Medicine, Dentistry and Health, University of Sheffield, Sheffield, UK
| | - Kamila Czene
- Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm 17177, Sweden
| | - Sandra L. Deming
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center and Vanderbilt-Ingram Cancer Center Vanderbilt University School of Medicine, Nashville, TN, USA
| | | | - W. Ryan Diver
- Epidemiology Research Program, American Cancer Society, Atlanta, GA, USA
| | - Alison M. Dunning
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, UK
| | - Lorraine Durcan
- Faculty of Medicine, University of Southampton, Southampton, UK
| | - Arif B. Ekici
- Friedrich-Alexander University Erlangen-Nuremberg, Institute of Human Genetics, Erlangen, Germany
| | - Peter A. Fasching
- Department of Gynecology and Obstetrics, Friedrich-Alexander University Erlangen-Nuremberg, University Hospital Erlangen, University Breast Center Franconia, Erlangen, Germany
- David Geffen School of Medicine, Department of Medicine, Division of Hematology and Oncology, University of California at Los Angeles, Los Angeles, CA, USA
| | | | | | - Laura Fejerman
- Division of General Internal Medicine, Department of Medicine, Institute for Human Genetics and Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, CA, USA
| | - Jonine D. Figueroa
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Olivia Fletcher
- Institute of Cancer Research, Breakthrough Breast Cancer Research Centre, London, UK
| | - Dieter Flesch-Janys
- Department of Cancer Epidemiology/Clinical Cancer Registry, University Cancer Center Hamburg (UCCH) , Hamburg, Germany
- Department of Medical Biometrics and Epidemiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Mia M. Gaudet
- Epidemiology Research Program, American Cancer Society, Atlanta, GA, USA
| | - The GENICA Consortium
- Gene Environment Interaction and Breast Cancer in Germany (GENICA): Dr Margarete Fischer-Bosch-Institute of Clinical Pharmacology, University Tübingen, Stuttgart, Germany
- Molecular Genetics of Breast Cancer, Deutsches Krebsforschungszentrum (DKFZ), Heidelberg, Germany
- Department of Internal Medicine, Evangelische Kliniken Bonn gGmbH, Johanniter Krankenhaus, Bonn, Germany
- Institute of Pathology, Medical Faculty of the University of Bonn, Germany
- Institute for Prevention and Occupational Medicine of the German Social Accident Insurance (IPA), Bochum, Germany
- Institute and Outpatient Clinic of Occupational Medicine, Saarland University Medical Center and Saarland University Faculty of Medicine, Homburg, Germany
| | - Susan M. Gerty
- Faculty of Medicine, University of Southampton, Southampton, UK
| | - Jorge L. Rodriguez-Gil
- Sylvester Comprehensive Cancer Center and Department of Epidemiology and Public Health, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Graham G. Giles
- Centre for Molecular, Environmental, Genetic, and Analytic Epidemiology, Melbourne School of Population Health and
- Cancer Epidemiology Centre, The Cancer Council Victoria, Melbourne, Australia
| | | | - Andrew K. Godwin
- Department of Pathology and Laboratory Medicine, Kansas University Medical Center, Kansas City, KS, USA
| | - Nikki Graham
- Faculty of Medicine, University of Southampton, Southampton, UK
| | - Dario Greco
- Department of Obstetrics and Gynecology, University of Helsinki and Helsinki University Central Hospital, Helsinki, Finland and
| | - Per Hall
- Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm 17177, Sweden
| | - Susan E. Hankinson
- Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | | | - Rebecca Hein
- Division of Cancer Epidemiology, German Cancer Research Center and
- PMV Research Group at the Department of Child and Adolescent Psychiatry and Psychotherapy and
| | - Judith Heinz
- Department of Cancer Epidemiology/Clinical Cancer Registry, University Cancer Center Hamburg (UCCH) , Hamburg, Germany
- Department of Medical Biometrics and Epidemiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Robert N. Hoover
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - John L. Hopper
- Centre for Molecular, Environmental, Genetic, and Analytic Epidemiology, Melbourne School of Population Health and
| | - Jennifer J. Hu
- Sylvester Comprehensive Cancer Center and Department of Epidemiology and Public Health, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Scott Huntsman
- Institute for Health Research, Kaiser Permanente, Denver, CO, USA
| | | | - Astrid Irwanto
- Human Genetics Division, Genome Institute of Singapore, Singapore, Singapore
| | - Claudine Isaacs
- Lombardi Comprehensive Cancer Center, Georgetown University, Washington, DC, USA
| | - Kevin B. Jacobs
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
- Core Genotyping Facility, SAIC-Frederick Inc., NCI-Frederick, Frederick, MD, USA
- Bioinformed Consulting Services, Gaithersburg, MD, USA
| | - Esther M. John
- Cancer Prevention Institute of California, Fremont, CA, USA
- Stanford University School of Medicine, Stanford Cancer Institute, Stanford, CA, USA
| | | | - Rudolf Kaaks
- Division of Cancer Epidemiology, German Cancer Research Center and
| | | | - Gerhard A. Coetzee
- Department of Preventive Medicine and
- Department of Urology, Keck School of Medicine, University of Southern California, Los Angeles, CA 90089, USA
| | - Mark Lathrop
- Centre National de Genotypage, Evry, France
- Fondation Jean Dausset, CEPH, Paris, France
| | - Loic Le Marchand
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI, USA
| | - Adam M. Lee
- Department of Pharmacology, Mayo Clinic, Rochester, MN, USA
| | - I-Min Lee
- Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | | | - Peter Lichtner
- Institute of Human Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Jianjun Liu
- Human Genetics Division, Genome Institute of Singapore, Singapore, Singapore
| | - Eiliv Lund
- Institute of Community Medicine, University of Tromsø, Tromsø, Norway
| | - Enes Makalic
- Centre for Molecular, Environmental, Genetic, and Analytic Epidemiology, Melbourne School of Population Health and
| | - Nicholas G. Martin
- QIMR GWAS Collective, Queensland Institute of Medical Research, Brisbane, Australia
| | | | - Hanne Meijers-Heijboer
- Department of Clinical Genetics, VU University Medical Center, section Oncogenetics, Amsterdam, The Netherlands
| | - Alfons Meindl
- Clinic of Gynaecology and Obstetrics, Division for Gynaecological Tumor-Genetics, Technische Universität München, München, Germany
| | | | | | - Grant W. Montgomery
- QIMR GWAS Collective, Queensland Institute of Medical Research, Brisbane, Australia
| | | | - Stefan Nickels
- Division of Cancer Epidemiology, German Cancer Research Center and
| | - Sarah J. Nyante
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | | | - Kim Overvad
- Department of Cardiology, Center for Cardiovascular Research, Aalborg Hospital, Aarhus University Hospital, Aalborg, Denmark
| | - Domenico Palli
- Molecular and Nutritional Epidemiology Unit, Cancer Research and Prevention Institute, ISPO, Florence, Italy
| | - Daniel J. Park
- Genetic Epidemiology Laboratory, Department of Pathology, The University of Melbourne, Australia
| | - Julie R. Palmer
- Slone Epidemiology Center at Boston University, Boston, MA, USA
| | - Harsh Pathak
- Department of Pathology and Laboratory Medicine, Kansas University Medical Center, Kansas City, KS, USA
| | - Julian Peto
- Non-communicable Disease Epidemiology Department, London School of Hygiene and Tropical Medicine, London, UK
| | - Paul Pharoah
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, UK
| | | | - Fernando Rivadeneira
- Department of Internal Medicine and Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Daniel F. Schmidt
- Centre for Molecular, Environmental, Genetic, and Analytic Epidemiology, Melbourne School of Population Health and
| | - Rita K. Schmutzler
- Division of Molecular Gynaeco-Oncology, Department of Obstetrics and Gynaecology, University of Cologne, Cologne, Germany
| | | | - Melissa C. Southey
- Genetic Epidemiology Laboratory, Department of Pathology, The University of Melbourne, Australia
| | | | - Hans-Peter Sinn
- Department of Pathology, University Hospital Heidelberg, Heidelberg, Germany
| | - Michael F. Press
- Department of Pathology, Keck School of Medicine, Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA, USA
| | | | - Elio Riboli
- Department of Epidemiology and Biostatistics and
| | - Paul M. Ridker
- Division of Preventive Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | | | - Gianluca Severi
- Centre for Molecular, Environmental, Genetic, and Analytic Epidemiology, Melbourne School of Population Health and
- Cancer Epidemiology Centre, The Cancer Council Victoria, Melbourne, Australia
| | - Isabel dos Santos Silva
- Non-communicable Disease Epidemiology Department, London School of Hygiene and Tropical Medicine, London, UK
| | - Jennifer Stone
- Centre for Molecular, Environmental, Genetic, and Analytic Epidemiology, Melbourne School of Population Health and
| | - Malin Sund
- Department of Surgery, Umeå University, Umea, Sweden and
| | | | - Michael J. Thun
- Epidemiology Research Program, American Cancer Society, Atlanta, GA, USA
| | - Ruth C. Travis
- Cancer Epidemiology Unit, Nuffield Department of Clinical Medicine, University of Oxford, Oxford, UK
| | | | - Andre G. Uitterlinden
- Department of Internal Medicine and Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Quinten Waisfisz
- Department of Clinical Genetics, VU University Medical Center, section Oncogenetics, Amsterdam, The Netherlands
| | - Xianshu Wang
- Department of Laboratory Medicine and Pathology and
| | - Zhaoming Wang
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
- Core Genotyping Facility, SAIC-Frederick Inc., NCI-Frederick, Frederick, MD, USA
| | - JoEllen Weaver
- Biosample Repository, Fox Chase Cancer Center, Philadelphia, PA, USA
| | - Rüdiger Schulz-Wendtland
- Institute of Diagnostic Radiology, Friedrich-Alexander University Erlangen-Nuremberg, University Hospital Erlangen, Erlangen, Germany
| | - Lynne R. Wilkens
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI, USA
| | | | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center and Vanderbilt-Ingram Cancer Center Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Regina G. Ziegler
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Elad Ziv
- Division of General Internal Medicine, Department of Medicine, Institute for Human Genetics and Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, CA, USA
| | - Heli Nevanlinna
- Department of Obstetrics and Gynecology, University of Helsinki and Helsinki University Central Hospital, Helsinki, Finland and
| | - Douglas F. Easton
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, UK
| | - David J. Hunter
- Program in Molecular and Genetic Epidemiology and
- Department of Epidemiology, Harvard School of Public Health, Boston, MA, USA
| | | | - Stephen J. Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | | | - Peter Kraft
- Program in Molecular and Genetic Epidemiology and
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15
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Setiawan VW, Pike MC, Karageorgi S, Deming SL, Anderson K, Bernstein L, Brinton LA, Cai H, Cerhan JR, Cozen W, Chen C, Doherty J, Freudenheim JL, Goodman MT, Hankinson SE, Lacey JV, Liang X, Lissowska J, Lu L, Lurie G, Mack T, Matsuno RK, McCann S, Moysich KB, Olson SH, Rastogi R, Rebbeck TR, Risch H, Robien K, Schairer C, Shu XO, Spurdle AB, Strom BL, Thompson PJ, Ursin G, Webb PM, Weiss NS, Wentzensen N, Xiang YB, Yang HP, Yu H, Horn-Ross PL, De Vivo I. Age at last birth in relation to risk of endometrial cancer: pooled analysis in the epidemiology of endometrial cancer consortium. Am J Epidemiol 2012; 176:269-78. [PMID: 22831825 DOI: 10.1093/aje/kws129] [Citation(s) in RCA: 57] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023] Open
Abstract
Childbearing at an older age has been associated with a lower risk of endometrial cancer, but whether the association is independent of the number of births or other factors remains unclear. Individual-level data from 4 cohort and 13 case-control studies in the Epidemiology of Endometrial Cancer Consortium were pooled. A total of 8,671 cases of endometrial cancer and 16,562 controls were included in the analysis. After adjustment for known risk factors, endometrial cancer risk declined with increasing age at last birth (P(trend) < 0.0001). The pooled odds ratio per 5-year increase in age at last birth was 0.87 (95% confidence interval: 0.85, 0.90). Women who last gave birth at 40 years of age or older had a 44% decreased risk compared with women who had their last birth under the age of 25 years (95% confidence interval: 47, 66). The protective association was similar across the different age-at-diagnosis groups and for the 2 major tumor histologic subtypes (type I and type II). No effect modification was observed by body mass index, parity, or exogenous hormone use. In this large pooled analysis, late age at last birth was independently associated with a reduced risk of endometrial cancer, and the reduced risk persisted for many years.
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Affiliation(s)
- Veronica Wendy Setiawan
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA.
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16
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Li G, Deming SL, Cai Q, Fair AM, Shrubsole MJ, Shu XO, Kelley M, Zheng W. Abstract 2616: Association of UGT2B17 gene copy number variation with breast cancer risk: The Nashville Breast Health Study. Cancer Res 2012. [DOI: 10.1158/1538-7445.am2012-2616] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
UDP-glucuronosyltransferase 2B17 (UGT2B17) catalyzes the transfer of glucuronic acid from uridine diphosphoglucuronic acid to a variety of substrates, including estrogen, a hormone that plays an important role in the etiology of breast cancer. Glucuronidated estrogens are more polar and water soluble; thus, they are more easily excreted in the bile and urine. The UGT2B17 gene displays variations in copy number (0 copies, 1 copy, and 2 copies), and the null genotype (0 copies) is associated with lower glucuronidating activity in human liver microsomes. In this study, we evaluated the association of UGT2B17 gene copy number variation with breast cancer risk. Included in the study were 1,536 breast cancer cases and 1,205 matched controls recruited into the Nashville Breast Health Study, a population-based, case-control study based in Nashville, Tennessee. Copy number of the UGT2B17 gene was evaluated by real-time PCR by using ABI's TaqMan Copy Number Assays reagents. UGT2B17 gene copy number variation was associated with breast cancer risk with odds ratios of 1.17 (95% CI: 1.00-1.38) and 1.33 (95% CI: 1.02-1.74), respectively, for 1 and 0 copies of the UGT2B17 gene, compared with 2 copies of the gene. The association varied little by menopausal status. The association was consistent in both whites and African Americans. Our study suggests that UGT2B17 gene copy number variation may play a role in the etiology of breast cancer.
Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 103rd Annual Meeting of the American Association for Cancer Research; 2012 Mar 31-Apr 4; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2012;72(8 Suppl):Abstract nr 2616. doi:1538-7445.AM2012-2616
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Affiliation(s)
| | | | | | | | | | | | | | - Wei Zheng
- 1Vanderbilt University, Nashville, TN
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17
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N'Diaye A, Chen GK, Palmer CD, Ge B, Tayo B, Mathias RA, Ding J, Nalls MA, Adeyemo A, Adoue V, Ambrosone CB, Atwood L, Bandera EV, Becker LC, Berndt SI, Bernstein L, Blot WJ, Boerwinkle E, Britton A, Casey G, Chanock SJ, Demerath E, Deming SL, Diver WR, Fox C, Harris TB, Hernandez DG, Hu JJ, Ingles SA, John EM, Johnson C, Keating B, Kittles RA, Kolonel LN, Kritchevsky SB, Le Marchand L, Lohman K, Liu J, Millikan RC, Murphy A, Musani S, Neslund-Dudas C, North KE, Nyante S, Ogunniyi A, Ostrander EA, Papanicolaou G, Patel S, Pettaway CA, Press MF, Redline S, Rodriguez-Gil JL, Rotimi C, Rybicki BA, Salako B, Schreiner PJ, Signorello LB, Singleton AB, Stanford JL, Stram AH, Stram DO, Strom SS, Suktitipat B, Thun MJ, Witte JS, Yanek LR, Ziegler RG, Zheng W, Zhu X, Zmuda JM, Zonderman AB, Evans MK, Liu Y, Becker DM, Cooper RS, Pastinen T, Henderson BE, Hirschhorn JN, Lettre G, Haiman CA. Identification, replication, and fine-mapping of Loci associated with adult height in individuals of african ancestry. PLoS Genet 2011; 7:e1002298. [PMID: 21998595 PMCID: PMC3188544 DOI: 10.1371/journal.pgen.1002298] [Citation(s) in RCA: 80] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2011] [Accepted: 07/26/2011] [Indexed: 11/19/2022] Open
Abstract
Adult height is a classic polygenic trait of high heritability (h2 ∼0.8). More than 180 single nucleotide polymorphisms (SNPs), identified mostly in populations of European descent, are associated with height. These variants convey modest effects and explain ∼10% of the variance in height. Discovery efforts in other populations, while limited, have revealed loci for height not previously implicated in individuals of European ancestry. Here, we performed a meta-analysis of genome-wide association (GWA) results for adult height in 20,427 individuals of African ancestry with replication in up to 16,436 African Americans. We found two novel height loci (Xp22-rs12393627, P = 3.4×10−12 and 2p14-rs4315565, P = 1.2×10−8). As a group, height associations discovered in European-ancestry samples replicate in individuals of African ancestry (P = 1.7×10−4 for overall replication). Fine-mapping of the European height loci in African-ancestry individuals showed an enrichment of SNPs that are associated with expression of nearby genes when compared to the index European height SNPs (P<0.01). Our results highlight the utility of genetic studies in non-European populations to understand the etiology of complex human diseases and traits. Adult height is an ideal phenotype to improve our understanding of the genetic architecture of complex diseases and traits: it is easily measured and usually available in large cohorts, relatively stable, and mostly influenced by genetics (narrow-sense heritability of height h2∼0.8). Genome-wide association (GWA) studies in individuals of European ancestry have identified >180 single nucleotide polymorphisms (SNPs) associated with height. In the current study, we continued to use height as a model polygenic trait and explored the genetic influence in populations of African ancestry through a meta-analysis of GWA height results from 20,809 individuals of African descent. We identified two novel height loci not previously found in Europeans. We also replicated the European height signals, suggesting that many of the genetic variants that are associated with height are shared between individuals of European and African descent. Finally, in fine-mapping the European height loci in African-ancestry individuals, we found SNPs more likely to be associated with the expression of nearby genes than the SNPs originally found in Europeans. Thus, our results support the utility of performing genetic studies in non-European populations to gain insights into complex human diseases and traits.
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Affiliation(s)
| | - Gary K. Chen
- Department of Preventive Medicine, Keck School of Medicine and Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, California, United States of America
| | - Cameron D. Palmer
- Program in Medical and Population Genetics, Broad Institute, Cambridge, Massachusetts, United States of America
- Divisions of Genetics and Endocrinology and Program in Genomics, Children's Hospital Boston, Boston, Massachusetts, United States of America
| | - Bing Ge
- Department of Human Genetics, McGill University and Genome Quebec Innovation Centre, Montreal, Canada
| | - Bamidele Tayo
- Department of Preventive Medicine and Epidemiology, Loyola University Chicago Stritch School of Medicine, Maywood, Illinois, United States of America
| | - Rasika A. Mathias
- Department of Medicine, The Johns Hopkins GeneSTAR Research Program, The Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America
| | - Jingzhong Ding
- Sticht Center on Aging, Wake Forest University School of Medicine, Winston-Salem, North Carolina, United States of America
| | - Michael A. Nalls
- Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, Maryland, United States of America
| | - Adebowale Adeyemo
- NIH Intramural Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland, United States of America
| | - Véronique Adoue
- Department of Human Genetics, McGill University and Genome Quebec Innovation Centre, Montreal, Canada
| | - Christine B. Ambrosone
- Department of Cancer Prevention and Control, Roswell Park Cancer Institute, Buffalo, New York, United States of America
| | - Larry Atwood
- Department of Neurology, Boston University School of Medicine, Boston, Massachusetts, United States of America
| | - Elisa V. Bandera
- The Cancer Institute of New Jersey, New Brunswick, New Jersey, United States of America
| | - Lewis C. Becker
- Department of Medicine, The Johns Hopkins GeneSTAR Research Program, The Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America
| | - Sonja I. Berndt
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, United States of America
| | - Leslie Bernstein
- Division of Cancer Etiology, Department of Population Science, Beckman Research Institute, City of Hope, Duarte, California, United States of America
| | - William J. Blot
- International Epidemiology Institute, Rockville, Maryland, United States of America
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt University, Nashville, Tennessee, United States of America
- Vanderbilt–Ingram Cancer Center, Nashville, Tennessee, United States of America
| | - Eric Boerwinkle
- Human Genetics Center and Institute of Molecular Medicine and Division of Epidemiology, University of Texas Health Science Center, Houston, Texas, United States of America
| | - Angela Britton
- Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, Maryland, United States of America
| | - Graham Casey
- Department of Preventive Medicine, Keck School of Medicine and Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, California, United States of America
| | - Stephen J. Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, United States of America
| | - Ellen Demerath
- Division of Epidemiology and Community Health, University of Minnesota School of Public Health, Minneapolis, Minnesota, United States of America
| | - Sandra L. Deming
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt University, Nashville, Tennessee, United States of America
- Vanderbilt–Ingram Cancer Center, Nashville, Tennessee, United States of America
| | - W. Ryan Diver
- Epidemiology Research Program, American Cancer Society, Atlanta, Georgia, United States of America
| | - Caroline Fox
- Department of Medicine, University of Mississippi Medical Center, Jackson, Mississippi, United States of America
| | - Tamara B. Harris
- Laboratory of Epidemiology, Demography, and Biometry, National Institute on Aging, National Institutes of Health, Bethesda, Maryland, United States of America
| | - Dena G. Hernandez
- Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, Maryland, United States of America
| | - Jennifer J. Hu
- Sylvester Comprehensive Cancer Center and Department of Epidemiology and Public Health, University of Miami Miller School of Medicine, Miami, Florida, United States of America
| | - Sue A. Ingles
- Department of Preventive Medicine, Keck School of Medicine and Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, California, United States of America
| | - Esther M. John
- Cancer Prevention Institute of California, Fremont, California, United States of America
- School of Medicine and Stanford Cancer Center, Stanford University, Stanford, California, United States of America
| | - Craig Johnson
- Department of Biostatistics, University of Washington, Seattle, Washington, United States of America
| | - Brendan Keating
- Center for Applied Genomics, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, United States of America
| | - Rick A. Kittles
- Department of Medicine, University of Illinois at Chicago, Chicago, Illinois, United States of America
| | - Laurence N. Kolonel
- Epidemiology Program, Cancer Research Center, University of Hawaii, Honolulu, Hawaii, United States of America
| | - Stephen B. Kritchevsky
- Sticht Center on Aging, Wake Forest University School of Medicine, Winston-Salem, North Carolina, United States of America
| | - Loic Le Marchand
- Epidemiology Program, Cancer Research Center, University of Hawaii, Honolulu, Hawaii, United States of America
| | - Kurt Lohman
- Sticht Center on Aging, Wake Forest University School of Medicine, Winston-Salem, North Carolina, United States of America
| | - Jiankang Liu
- University of Mississippi Medical Center, Jackson, Mississippi, United States of America
| | - Robert C. Millikan
- Department of Epidemiology, Gillings School of Global Public Health and Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, North Carolina, United States of America
| | - Adam Murphy
- Department of Urology, Northwestern University, Chicago, Illinois, United States of America
| | - Solomon Musani
- Jackson Heart Study, Department of Medicine, Division of Cardiovascular Disease, University of Mississippi Medical Center, Jackson, Mississippi, United States of America
| | - Christine Neslund-Dudas
- Department of Biostatistics and Research Epidemiology, Henry Ford Hospital, Detroit, Michigan, United States of America
| | - Kari E. North
- Department of Epidemiology, University of North Carolina, Chapel Hill, North Carolina, United States of America
- Carolina Center for Genome Sciences, University of North Carolina, Chapel Hill, North Carolina, United States of America
| | - Sarah Nyante
- Department of Epidemiology, Gillings School of Global Public Health and Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, North Carolina, United States of America
| | | | - Elaine A. Ostrander
- Cancer Genetics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland, United States of America
| | - George Papanicolaou
- National Heart, Lung, and Blood Institute (NHLBI), Division of Cardiovascular Sciences, National Institutes of Health, Bethesda, Maryland, United States of America
| | - Sanjay Patel
- Division of Sleep Medicine, Brigham and Women's Hospital, Boston, Massachusetts, United States of America
| | - Curtis A. Pettaway
- Department of Urology, The University of Texas M. D. Anderson Cancer Center, Houston, Texas, United States of America
| | - Michael F. Press
- Department of Pathology, Keck School of Medicine and Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, California, United States of America
| | - Susan Redline
- Division of Sleep Medicine, Brigham and Women's Hospital, Boston, Massachusetts, United States of America
| | - Jorge L. Rodriguez-Gil
- Sylvester Comprehensive Cancer Center and Department of Epidemiology and Public Health, University of Miami Miller School of Medicine, Miami, Florida, United States of America
| | - Charles Rotimi
- NIH Intramural Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland, United States of America
| | - Benjamin A. Rybicki
- Department of Biostatistics and Research Epidemiology, Henry Ford Hospital, Detroit, Michigan, United States of America
| | | | - Pamela J. Schreiner
- Division of Epidemiology and Community Health, University of Minnesota, Minneapolis, Minnesota, United States of America
| | - Lisa B. Signorello
- International Epidemiology Institute, Rockville, Maryland, United States of America
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt University, Nashville, Tennessee, United States of America
- Vanderbilt–Ingram Cancer Center, Nashville, Tennessee, United States of America
| | - Andrew B. Singleton
- Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, Maryland, United States of America
| | - Janet L. Stanford
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America
| | - Alex H. Stram
- Department of Preventive Medicine, Keck School of Medicine and Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, California, United States of America
| | - Daniel O. Stram
- Department of Preventive Medicine, Keck School of Medicine and Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, California, United States of America
| | - Sara S. Strom
- Department of Epidemiology, The University of Texas M. D. Anderson Cancer Center, Houston, Texas, United States of America
| | - Bhoom Suktitipat
- Department of Medicine, The Johns Hopkins GeneSTAR Research Program, The Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America
- The Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America
| | - Michael J. Thun
- Epidemiology Research Program, American Cancer Society, Atlanta, Georgia, United States of America
| | - John S. Witte
- Institute for Human Genetics, Departments of Epidemiology and Biostatistics and Urology, University of California San Francisco, San Francisco, California, United States of America
| | - Lisa R. Yanek
- Department of Medicine, The Johns Hopkins GeneSTAR Research Program, The Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America
| | - Regina G. Ziegler
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, United States of America
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt University, Nashville, Tennessee, United States of America
- Vanderbilt–Ingram Cancer Center, Nashville, Tennessee, United States of America
| | - Xiaofeng Zhu
- Department of Biostatistics and Epidemiology, Case Western Reserve University, Cleveland, Ohio, United States of America
| | - Joseph M. Zmuda
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America
| | - Alan B. Zonderman
- Laboratory of Personality and Cognition, National Institute on Aging, National Institutes of Health, Baltimore, Maryland, United States of America
| | - Michele K. Evans
- Health Disparities Research Section, Clinical Research Branch, National Institute on Aging, National Institutes of Health, Baltimore, Maryland, United States of America
| | - Yongmei Liu
- Sticht Center on Aging, Wake Forest University School of Medicine, Winston-Salem, North Carolina, United States of America
| | - Diane M. Becker
- Department of Medicine, The Johns Hopkins GeneSTAR Research Program, The Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America
| | - Richard S. Cooper
- Department of Preventive Medicine and Epidemiology, Loyola University Chicago Stritch School of Medicine, Maywood, Illinois, United States of America
| | - Tomi Pastinen
- Department of Human Genetics, McGill University and Genome Quebec Innovation Centre, Montreal, Canada
| | - Brian E. Henderson
- Department of Preventive Medicine, Keck School of Medicine and Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, California, United States of America
| | - Joel N. Hirschhorn
- Program in Medical and Population Genetics, Broad Institute, Cambridge, Massachusetts, United States of America
- Divisions of Genetics and Endocrinology and Program in Genomics, Children's Hospital Boston, Boston, Massachusetts, United States of America
- Department of Medicine, Harvard Medical School, Boston, Massachusetts, United States of America
- * E-mail: (JN Hirschhorn); (G Lettre); (CA Haiman)
| | - Guillaume Lettre
- Montreal Heart Institute, Montréal, Canada
- Département de Médecine, Université de Montréal, Montréal, Canada
- * E-mail: (JN Hirschhorn); (G Lettre); (CA Haiman)
| | - Christopher A. Haiman
- Department of Preventive Medicine, Keck School of Medicine and Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, California, United States of America
- * E-mail: (JN Hirschhorn); (G Lettre); (CA Haiman)
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18
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Bao PP, Shu XO, Gao YT, Zheng Y, Cai H, Deming SL, Ruan ZX, Su Y, Gu K, Lu W, Zheng W. Association of hormone-related characteristics and breast cancer risk by estrogen receptor/progesterone receptor status in the shanghai breast cancer study. Am J Epidemiol 2011; 174:661-71. [PMID: 21768404 DOI: 10.1093/aje/kwr145] [Citation(s) in RCA: 72] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022] Open
Abstract
Etiologic differences between subtypes of breast cancer defined by estrogen receptor (ER) and progesterone receptor (PR) status are not well understood. The authors evaluated associations of hormone-related factors with breast cancer subtypes in a population-based case-control study involving 1,409 ER-positive (ER+)/PR-positive (PR+) cases, 712 ER-negative (ER-)/PR-negative (PR-) cases, 301 ER+/PR- cases, 254 ER-/PR+ cases, and 3,474 controls aged 20-70 years in Shanghai, China (phase I, 1996-1998; phase II, 2002-2005). Polytomous logistic regression and Wald tests for heterogeneity across subtypes were conducted. Breast cancer risks associated with age at menarche, age at menopause, breastfeeding, age at first livebirth, waist-to-hip ratio, and oral contraceptive use did not differ by hormone receptor status. Among postmenopausal women, higher parity (≥2 children vs. 1) was associated with reduced risk (odds ratio (OR) = 0.69, 95% confidence interval (CI): 0.52, 0.91) and higher body mass index (BMI; weight (kg)/height (m)(2)) with increased risk (highest quartile: OR = 2.40, 95% CI: 1.65, 3.47) of the ER+/PR+ subtype but was unrelated to the ER-/PR- subtype (for parity, P(heterogeneity) = 0.02; for BMI, P(heterogeneity) < 0.01). Hormone replacement therapy (OR = 2.25, 95% CI: 1.40, 3.62) and alcohol consumption (OR = 1.59, 95% CI: 1.01, 2.51) appeared to be preferentially associated with the ER+/PR- subtype. These findings indicate that BMI, parity, hormone replacement therapy, and alcohol consumption may play different roles in subtypes of breast cancer. More research is needed to better understand the etiology of 2 relatively rare subtypes, ER+/PR- tumors and ER-/PR+ tumors.
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Affiliation(s)
- Ping-Ping Bao
- Vanderbilt Epidemiology Center, Institute of Medicine and Public Health, Vanderbilt University Medical Center, 2525 West End Avenue, Suite 600, Nashville, TN 37203-1738, USA
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Chen F, Chen GK, Millikan RC, John EM, Ambrosone CB, Bernstein L, Zheng W, Hu JJ, Ziegler RG, Deming SL, Bandera EV, Nyante S, Palmer JR, Rebbeck TR, Ingles SA, Press MF, Rodriguez-Gil JL, Chanock SJ, Le Marchand L, Kolonel LN, Henderson BE, Stram DO, Haiman CA. Fine-mapping of breast cancer susceptibility loci characterizes genetic risk in African Americans. Hum Mol Genet 2011; 20:4491-503. [PMID: 21852243 DOI: 10.1093/hmg/ddr367] [Citation(s) in RCA: 54] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Genome-wide association studies (GWAS) have revealed 19 common genetic variants that are associated with breast cancer risk. Testing of the index signals found through GWAS and fine-mapping of each locus in diverse populations will be necessary for characterizing the role of these risk regions in contributing to inherited susceptibility. In this large study of breast cancer in African-American women (3016 cases and 2745 controls), we tested the 19 known risk variants identified by GWAS and replicated associations (P < 0.05) with only 4 variants. Through fine-mapping, we identified markers in four regions that better capture the association with breast cancer risk in African Americans as defined by the index signal (2q35, 5q11, 10q26 and 19p13). We also identified statistically significant associations with markers in four separate regions (8q24, 10q22, 11q13 and 16q12) that are independent of the index signals and may represent putative novel risk variants. In aggregate, the more informative markers found in the study enhance the association of these risk regions with breast cancer in African Americans [per allele odds ratio (OR) = 1.18, P = 2.8 × 10(-24) versus OR = 1.04, P = 6.1 × 10(-5)]. In this detailed analysis of the known breast cancer risk loci, we have validated and improved upon markers of risk that better characterize their association with breast cancer in women of African ancestry.
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Affiliation(s)
- Fang Chen
- Department of Preventive Medicine, Keck School of Medicine and Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA, USA
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Hinch AG, Tandon A, Patterson N, Song Y, Rohland N, Palmer CD, Chen GK, Wang K, Buxbaum SG, Akylbekova EL, Aldrich MC, Ambrosone CB, Amos C, Bandera EV, Berndt SI, Bernstein L, Blot WJ, Bock CH, Boerwinkle E, Cai Q, Caporaso N, Casey G, Cupples LA, Deming SL, Diver WR, Divers J, Fornage M, Gillanders EM, Glessner J, Harris CC, Hu JJ, Ingles SA, Isaacs W, John EM, Kao WHL, Keating B, Kittles RA, Kolonel LN, Larkin E, Le Marchand L, McNeill LH, Millikan RC, Murphy A, Musani S, Neslund-Dudas C, Nyante S, Papanicolaou GJ, Press MF, Psaty BM, Reiner AP, Rich SS, Rodriguez-Gil JL, Rotter JI, Rybicki BA, Schwartz AG, Signorello LB, Spitz M, Strom SS, Thun MJ, Tucker MA, Wang Z, Wiencke JK, Witte JS, Wrensch M, Wu X, Yamamura Y, Zanetti KA, Zheng W, Ziegler RG, Zhu X, Redline S, Hirschhorn JN, Henderson BE, Taylor HA, Price AL, Hakonarson H, Chanock SJ, Haiman CA, Wilson JG, Reich D, Myers SR. The landscape of recombination in African Americans. Nature 2011; 476:170-5. [PMID: 21775986 PMCID: PMC3154982 DOI: 10.1038/nature10336] [Citation(s) in RCA: 230] [Impact Index Per Article: 17.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2011] [Accepted: 06/27/2011] [Indexed: 01/14/2023]
Abstract
Recombination, together with mutation, gives rise to genetic variation in populations. Here we leverage the recent mixture of people of African and European ancestry in the Americas to build a genetic map measuring the probability of crossing over at each position in the genome, based on about 2.1 million crossovers in 30,000 unrelated African Americans. At intervals of more than three megabases it is nearly identical to a map built in Europeans. At finer scales it differs significantly, and we identify about 2,500 recombination hotspots that are active in people of West African ancestry but nearly inactive in Europeans. The probability of a crossover at these hotspots is almost fully controlled by the alleles an individual carries at PRDM9 (P value < 10(-245)). We identify a 17-base-pair DNA sequence motif that is enriched in these hotspots, and is an excellent match to the predicted binding target of PRDM9 alleles common in West Africans and rare in Europeans. Sites of this motif are predicted to be risk loci for disease-causing genomic rearrangements in individuals carrying these alleles. More generally, this map provides a resource for research in human genetic variation and evolution.
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Affiliation(s)
- Anjali G Hinch
- Wellcome Trust Centre for Human Genetics, Oxford University, Roosevelt Drive, Oxford OX3 7BN, UK
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Fu Z, Deming SL, Fair AM, Shrubsole MJ, Wujcik DM, Shu XO, Kelley M, Zheng W. Well-done meat intake and meat-derived mutagen exposures in relation to breast cancer risk: the Nashville Breast Health Study. Breast Cancer Res Treat 2011; 129:919-28. [PMID: 21537933 DOI: 10.1007/s10549-011-1538-7] [Citation(s) in RCA: 38] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2010] [Accepted: 04/19/2011] [Indexed: 01/07/2023]
Abstract
Previous studies of the association of meat intake and meat-derived mutagen exposure with breast cancer risk have produced inconsistent results. We evaluated this association in a population-based case-control study of incident breast cancer conducted in Nashville, Tennessee, United States, including 2,386 breast cancer cases and 1,703 healthy women controls. Telephone interviews were conducted to obtain information related to meat intake including amount, cooking methods, and doneness levels, as well as other known or hypothesized risk factors for breast cancer. Unconditional logistic regression was used to derive odds ratios (ORs) after adjusting for potential confounders. High intake of red meat was associated with a significantly elevated risk of breast cancer (P-trend < 0.001). The association was particularly strong for high intake of well-done red meat (P-trend < 0.001), with an adjusted OR of 1.5 (95% CI = 1.3-1.9) for the highest versus the lowest quartile. Associations between red meat and breast cancer risk were slightly stronger for postmenopausal women than for premenopausal women. Meat-derived mutagens such as 2-amino-3,8-dimethylimidazo[4,5-f]quinoxaline and 2-amino-3,4,8-trimethylimidazo[4,5-f]quinoxaline, were significantly associated with increased breast cancer risk among postmenopausal women only (P-trend = 0.002 and 0.003, respectively). The results from this study provide strong support for the hypotheses that high red meat intake and meat-derived mutagen exposure may be associated with an increase in breast cancer risk.
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Affiliation(s)
- Zhenming Fu
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, 2525 West End Avenue, 8th floor, Suite 800, Nashville, TN 37203-1738, USA
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22
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Pasaniuc B, Zaitlen N, Lettre G, Chen GK, Tandon A, Kao WHL, Ruczinski I, Fornage M, Siscovick DS, Zhu X, Larkin E, Lange LA, Cupples LA, Yang Q, Akylbekova EL, Musani SK, Divers J, Mychaleckyj J, Li M, Papanicolaou GJ, Millikan RC, Ambrosone CB, John EM, Bernstein L, Zheng W, Hu JJ, Ziegler RG, Nyante SJ, Bandera EV, Ingles SA, Press MF, Chanock SJ, Deming SL, Rodriguez-Gil JL, Palmer CD, Buxbaum S, Ekunwe L, Hirschhorn JN, Henderson BE, Myers S, Haiman CA, Reich D, Patterson N, Wilson JG, Price AL. Enhanced statistical tests for GWAS in admixed populations: assessment using African Americans from CARe and a Breast Cancer Consortium. PLoS Genet 2011; 7:e1001371. [PMID: 21541012 PMCID: PMC3080860 DOI: 10.1371/journal.pgen.1001371] [Citation(s) in RCA: 92] [Impact Index Per Article: 7.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2010] [Accepted: 03/10/2011] [Indexed: 12/24/2022] Open
Abstract
While genome-wide association studies (GWAS) have primarily examined populations of European ancestry, more recent studies often involve additional populations, including admixed populations such as African Americans and Latinos. In admixed populations, linkage disequilibrium (LD) exists both at a fine scale in ancestral populations and at a coarse scale (admixture-LD) due to chromosomal segments of distinct ancestry. Disease association statistics in admixed populations have previously considered SNP association (LD mapping) or admixture association (mapping by admixture-LD), but not both. Here, we introduce a new statistical framework for combining SNP and admixture association in case-control studies, as well as methods for local ancestry-aware imputation. We illustrate the gain in statistical power achieved by these methods by analyzing data of 6,209 unrelated African Americans from the CARe project genotyped on the Affymetrix 6.0 chip, in conjunction with both simulated and real phenotypes, as well as by analyzing the FGFR2 locus using breast cancer GWAS data from 5,761 African-American women. We show that, at typed SNPs, our method yields an 8% increase in statistical power for finding disease risk loci compared to the power achieved by standard methods in case-control studies. At imputed SNPs, we observe an 11% increase in statistical power for mapping disease loci when our local ancestry-aware imputation framework and the new scoring statistic are jointly employed. Finally, we show that our method increases statistical power in regions harboring the causal SNP in the case when the causal SNP is untyped and cannot be imputed. Our methods and our publicly available software are broadly applicable to GWAS in admixed populations.
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Affiliation(s)
- Bogdan Pasaniuc
- Department of Epidemiology, Harvard School of Public Health, Boston, Massachusetts, United States of America
- Department of Biostatistics, Harvard School of Public Health, Boston, Massachusetts, United States of America
- Broad Institute of Harvard and Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts, United States of America
- * E-mail: (BP); (ALP)
| | - Noah Zaitlen
- Department of Epidemiology, Harvard School of Public Health, Boston, Massachusetts, United States of America
- Department of Biostatistics, Harvard School of Public Health, Boston, Massachusetts, United States of America
- Broad Institute of Harvard and Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts, United States of America
| | - Guillaume Lettre
- Montreal Heart Institute, Montréal, Canada
- Département de Médecine, Université de Montréal, Montréal, Canada
| | - Gary K. Chen
- Department of Preventive Medicine, University of Southern California Keck School of Medicine, Los Angeles, California, United States of America
| | - Arti Tandon
- Broad Institute of Harvard and Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts, United States of America
- Department of Genetics, Harvard Medical School, Boston, Massachusetts, United States of America
| | - W. H. Linda Kao
- Department of Epidemiology, Johns Hopkins University, Baltimore, Maryland, United States of America
- Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins University, Baltimore, Maryland, United States of America
| | - Ingo Ruczinski
- Department of Biostatistics, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, United States of America
| | - Myriam Fornage
- Institute of Molecular Medicine and Division of Epidemiology, School of Public Health, University of Texas Health Sciences Center at Houston, Houston, Texas, United States of America
| | - David S. Siscovick
- Departments of Medicine and Epidemiology, University of Washington, Seattle, Washington, United States of America
- Cardiovascular Health Research Unit, University of Washington, Seattle, Washington, United States of America
| | - Xiaofeng Zhu
- Department of Epidemiology and Biostatistics, School of Medicine, Case Western Reserve University, Cleveland, Ohio, United States of America
| | - Emma Larkin
- Department of Medicine, Division of Allergy, Pulmonary and Critical Care, Vanderbilt University, Nashville, Tennessee, United States of America
| | - Leslie A. Lange
- Department of Genetics, University of North Carolina, Chapel Hill, North Carolina, United States of America
| | - L. Adrienne Cupples
- Department of Biostatistics and Epidemiology, Boston University School of Public Health, Boston, Massachusetts, United States of America
| | - Qiong Yang
- Department of Biostatistics and Epidemiology, Boston University School of Public Health, Boston, Massachusetts, United States of America
| | - Ermeg L. Akylbekova
- Jackson Heart Study, Jackson State University, Jackson, Mississippi, United States of America
| | - Solomon K. Musani
- University of Mississippi Medical Center, Jackson, Mississippi, United States of America
| | - Jasmin Divers
- Department of Biostatistical Sciences, Division of Public Health Sciences, Wake Forest University, Winston-Salem, North Carolina, United States of America
| | - Joe Mychaleckyj
- Center for Public Health Genomics, University of Virginia, Charlottesville, Virginia, United States of America
| | - Mingyao Li
- Department of Biostatistics and Epidemiology, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
| | - George J. Papanicolaou
- National Heart, Lung, and Blood Institute (NHLBI), Division of Cardiovascular Sciences, National Institutes of Health, Bethesda, Maryland, United States of America
| | - Robert C. Millikan
- Department of Epidemiology, Gillings School of Global Public Health Chapel Hill, North Carolina, United States of America
- Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, North Carolina, United States of America
| | - Christine B. Ambrosone
- Department of Cancer Prevention and Control, Roswell Park Cancer Institute, Buffalo, New York, United States of America
| | - Esther M. John
- Northern California Cancer Center, Fremont, California, United States of America
- Stanford University School of Medicine and Stanford Cancer Center, Stanford, California, United States of America
| | - Leslie Bernstein
- Division of Cancer Etiology, Department of Population Science, Beckman Research Institute, City of Hope, California, United States of America
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Nashville, Tennessee, United States of America
- Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, Tennessee, United States of America
| | - Jennifer J. Hu
- Sylvester Comprehensive Cancer Center and Department of Epidemiology and Public Health, University of Miami Miller School of Medicine, Miami, Florida, United States of America
| | - Regina G. Ziegler
- Epidemiology and Biostatistics Program, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, United States of America
| | - Sarah J. Nyante
- Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, North Carolina, United States of America
| | - Elisa V. Bandera
- The Cancer Institute of New Jersey, Robert Wood Johnson Medical School, New Brunswick, New Jersey, United States of America
| | - Sue A. Ingles
- Department of Preventive Medicine, University of Southern California Keck School of Medicine, Los Angeles, California, United States of America
| | - Michael F. Press
- Department of Preventive Medicine, University of Southern California Keck School of Medicine, Los Angeles, California, United States of America
| | - Stephen J. Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, United States of America
| | - Sandra L. Deming
- Institute for Medicine and Public Health, Vanderbilt Epidemiology Center, Nashville, Tennessee, United States of America
| | - Jorge L. Rodriguez-Gil
- Sylvester Comprehensive Cancer Center and Department of Epidemiology and Public Health, University of Miami Miller School of Medicine, Miami, Florida, United States of America
| | - Cameron D. Palmer
- Broad Institute of Harvard and Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts, United States of America
- Divisions of Genetics and Endocrinology and Program in Genomics, Children’s Hospital Boston, Boston, Massachusetts, United States of America
| | - Sarah Buxbaum
- Jackson Heart Study, Jackson State University, Jackson, Mississippi, United States of America
| | - Lynette Ekunwe
- Jackson Heart Study, Jackson State University, Jackson, Mississippi, United States of America
| | - Joel N. Hirschhorn
- Broad Institute of Harvard and Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts, United States of America
- Department of Genetics, Harvard Medical School, Boston, Massachusetts, United States of America
- Divisions of Genetics and Endocrinology and Program in Genomics, Children’s Hospital Boston, Boston, Massachusetts, United States of America
| | - Brian E. Henderson
- Department of Preventive Medicine, University of Southern California Keck School of Medicine, Los Angeles, California, United States of America
| | - Simon Myers
- Department of Statistics, University of Oxford, Oxford, United Kingdom
| | - Christopher A. Haiman
- Department of Preventive Medicine, University of Southern California Keck School of Medicine, Los Angeles, California, United States of America
| | - David Reich
- Broad Institute of Harvard and Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts, United States of America
- Department of Genetics, Harvard Medical School, Boston, Massachusetts, United States of America
| | - Nick Patterson
- Broad Institute of Harvard and Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts, United States of America
| | - James G. Wilson
- University of Mississippi Medical Center, Jackson, Mississippi, United States of America
- V. A. Medical Center, Jackson, Mississippi, United States of America
| | - Alkes L. Price
- Department of Epidemiology, Harvard School of Public Health, Boston, Massachusetts, United States of America
- Department of Biostatistics, Harvard School of Public Health, Boston, Massachusetts, United States of America
- Broad Institute of Harvard and Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts, United States of America
- * E-mail: (BP); (ALP)
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23
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Fu Z, Deming SL, Fair AM, Shrubsole MJ, Wujcik DM, Shu XO, Kelley MC, Wei Z. Abstract 3718: Well-done meat intake and meat-derived mutagen exposures in relation to breast cancer risk: The Nashville Breast Health Study. Cancer Res 2011. [DOI: 10.1158/1538-7445.am2011-3718] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Previous studies of the association of meat intake and meat-derived mutagen exposure with breast cancer risk have produced inconsistent results. We evaluated this association in a population-based case-control study of incident breast cancer conducted in Nashville,TN, United States, including 2,386 breast cancer cases and 1,703 healthy women controls. Telephone interviews were conducted to obtain information related to meat intake including amount, cooking methods, and doneness levels, as well as other known or hypothesized risk factors for breast cancer. Unconditional logistic regression was used to derive odds ratios (ORs) after adjusting for potential confounders. High intake of red meat was associated with a significantly elevated risk of breast cancer (P-trend <0.001). The association was particularly strong for high intake of well-done red meat (P-trend <0.001), with an adjusted OR of 1.5 (95% CI = 1.3-1.9) for the highest versus the lowest quartile. Associations between red meat and breast cancer risk were stronger for postmenopausal women than for premenopausal women. Meat-derived mutagens such as 2-amino-3,8-dimethylimidazo[4,5-f]quinoxaline (MeIQx) and 2-amino-3,4,8-trimethylimidazo[4,5-f]quinoxaline (DiMeIQx), were significantly associated with increased breast cancer risk among postmenopausal women only (P-trend = 0.002 and 0.003, respectively). The results from this study provide strong support for the hypotheses that high red meat intake and meat-derived mutagen exposure may be associated with an increase in breast cancer risk.
Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 102nd Annual Meeting of the American Association for Cancer Research; 2011 Apr 2-6; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2011;71(8 Suppl):Abstract nr 3718. doi:10.1158/1538-7445.AM2011-3718
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Affiliation(s)
| | | | | | | | - Debra M. Wujcik
- 2Meharry/Vanderbilt Cancer Partnership, Nashville General Hospital, Nashville, TN
| | | | | | - Zheng Wei
- 1Vanderbilt University, Nashville, TN
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Cai Q, Wen W, Qu S, Li G, Egan KM, Chen K, Deming SL, Shen H, Shen CY, Gammon MD, Blot WJ, Matsuo K, Haiman CA, Khoo US, Iwasaki M, Santella RM, Zhang L, Fair AM, Hu Z, Wu PE, Signorello LB, Titus-Ernstoff L, Tajima K, Henderson BE, Chan KYK, Kasuga Y, Newcomb PA, Zheng H, Cui Y, Wang F, Shieh YL, Iwata H, Le Marchand L, Chan SY, Shrubsole MJ, Trentham-Dietz A, Tsugane S, Garcia-Closas M, Long J, Li C, Shi J, Huang B, Xiang YB, Gao YT, Lu W, Shu XO, Zheng W. Replication and functional genomic analyses of the breast cancer susceptibility locus at 6q25.1 generalize its importance in women of chinese, Japanese, and European ancestry. Cancer Res 2011; 71:1344-55. [PMID: 21303983 DOI: 10.1158/0008-5472.can-10-2733] [Citation(s) in RCA: 64] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
We evaluated the generalizability of a single nucleotide polymorphism (SNP), rs2046210 (A/G allele), associated with breast cancer risk that was initially identified at 6q25.1 in a genome-wide association study conducted among Chinese women. In a pooled analysis of more than 31,000 women of East-Asian, European, and African ancestry, we found a positive association for rs2046210 and breast cancer risk in Chinese women [ORs (95% CI) = 1.30 (1.22-1.38) and 1.64 (1.50-1.80) for the AG and AA genotypes, respectively, P for trend = 1.54 × 10⁻³⁰], Japanese women [ORs (95% CI) = 1.31 (1.13-1.52) and 1.37 (1.06-1.76), P for trend = 2.51 × 10⁻⁴], and European-ancestry American women [ORs (95% CI) = 1.07 (0.99-1.16) and 1.18 (1.04-1.34), P for trend = 0.0069]. No association with this SNP, however, was observed in African American women [ORs (95% CI) = 0.81 (0.63-1.06) and 0.85 (0.65-1.11) for the AG and AA genotypes, respectively, P for trend = 0.4027]. In vitro functional genomic studies identified a putative functional variant, rs6913578. This SNP is 1,440 bp downstream of rs2046210 and is in high linkage disequilibrium with rs2046210 in Chinese (r(2) = 0.91) and European-ancestry (r² = 0.83) populations, but not in Africans (r² = 0.57). SNP rs6913578 was found to be associated with breast cancer risk in Chinese and European-ancestry American women. After adjusting for rs2046210, the association of rs6913578 with breast cancer risk in African Americans approached borderline significance. Results from this large consortium study confirmed the association of rs2046210 with breast cancer risk among women of Chinese, Japanese, and European ancestry. This association may be explained in part by a putatively functional variant (rs6913578) identified in the region.
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Affiliation(s)
- Qiuyin Cai
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, Tennessee, USA.
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25
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Long J, Cai Q, Shu XO, Qu S, Li C, Zheng Y, Gu K, Wang W, Xiang YB, Cheng J, Chen K, Zhang L, Zheng H, Shen CY, Huang CS, Hou MF, Shen H, Hu Z, Wang F, Deming SL, Kelley MC, Shrubsole MJ, Khoo US, Chan KYK, Chan SY, Haiman CA, Henderson BE, Le Marchand L, Iwasaki M, Kasuga Y, Tsugane S, Matsuo K, Tajima K, Iwata H, Huang B, Shi J, Li G, Wen W, Gao YT, Lu W, Zheng W. Identification of a functional genetic variant at 16q12.1 for breast cancer risk: results from the Asia Breast Cancer Consortium. PLoS Genet 2010; 6:e1001002. [PMID: 20585626 PMCID: PMC2891809 DOI: 10.1371/journal.pgen.1001002] [Citation(s) in RCA: 95] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2010] [Accepted: 05/25/2010] [Indexed: 11/18/2022] Open
Abstract
Genetic factors play an important role in the etiology of breast cancer. We carried out a multi-stage genome-wide association (GWA) study in over 28,000 cases and controls recruited from 12 studies conducted in Asian and European American women to identify genetic susceptibility loci for breast cancer. After analyzing 684,457 SNPs in 2,073 cases and 2,084 controls in Chinese women, we evaluated 53 SNPs for fast-track replication in an independent set of 4,425 cases and 1,915 controls of Chinese origin. Four replicated SNPs were further investigated in an independent set of 6,173 cases and 6,340 controls from seven other studies conducted in Asian women. SNP rs4784227 was consistently associated with breast cancer risk across all studies with adjusted odds ratios (95% confidence intervals) of 1.25 (1.20−1.31) per allele (P = 3.2×10−25) in the pooled analysis of samples from all Asian samples. This SNP was also associated with breast cancer risk among European Americans (per allele OR = 1.19, 95% CI = 1.09−1.31, P = 1.3×10−4, 2,797 cases and 2,662 controls). SNP rs4784227 is located at 16q12.1, a region identified previously for breast cancer risk among Europeans. The association of this SNP with breast cancer risk remained highly statistically significant in Asians after adjusting for previously-reported SNPs in this region. In vitro experiments using both luciferase reporter and electrophoretic mobility shift assays demonstrated functional significance of this SNP. These results provide strong evidence implicating rs4784227 as a functional causal variant for breast cancer in the locus 16q12.1 and demonstrate the utility of conducting genetic association studies in populations with different genetic architectures. Breast cancer is one of the most common malignancies among women worldwide. Genetic factors play an important role in the etiology of breast cancer. To identify genetic susceptibility loci for breast cancer, we performed a genome-wide association study in 15,468 breast cancer cases and 13,001 controls. A single nucleotide polymorphism (SNP) rs4784227 located on chromosome 16q12.1, a previously-reported region for breast cancer risk, was found to be associated with breast cancer risk. The association of this SNP with breast cancer risk remained highly significant in Asians after adjusting all previously-reported SNPs in this region. In vitro biochemical experiments using both luciferase reporter and electrophoretic mobility shift assays confirmed the functional importance of this SNP. Our results demonstrate the importance of conducting genetic association studies in populations with different genetic backgrounds to identify functional variants.
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Affiliation(s)
- Jirong Long
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, Tennessee, United States of America
| | - Qiuyin Cai
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, Tennessee, United States of America
| | - Xiao-Ou Shu
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, Tennessee, United States of America
| | - Shimian Qu
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, Tennessee, United States of America
| | - Chun Li
- Department of Biostatistics, Vanderbilt University School of Medicine, Nashville, Tennessee, United States of America
| | - Ying Zheng
- Shanghai Center for Disease Control and Prevention, Shanghai, China
| | - Kai Gu
- Shanghai Center for Disease Control and Prevention, Shanghai, China
| | - Wenjing Wang
- Shanghai Center for Disease Control and Prevention, Shanghai, China
| | - Yong-Bing Xiang
- Department of Epidemiology, Shanghai Cancer Institute, Shanghai, China
| | - Jiarong Cheng
- Department of Epidemiology, Shanghai Cancer Institute, Shanghai, China
| | - Kexin Chen
- Department of Epidemiology and Biostatistics, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China
| | - Lina Zhang
- Department of Epidemiology and Biostatistics, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China
| | - Hong Zheng
- Department of Epidemiology and Biostatistics, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China
| | - Chen-Yang Shen
- Institute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan
| | | | - Ming-Feng Hou
- Institute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan
| | - Hongbing Shen
- Department of Epidemiology and Biostatistics, Nanjing Medical University, Nanjing, China
| | - Zhibin Hu
- Department of Epidemiology and Biostatistics, Nanjing Medical University, Nanjing, China
| | - Furu Wang
- Department of Epidemiology and Biostatistics, Nanjing Medical University, Nanjing, China
| | - Sandra L. Deming
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, Tennessee, United States of America
| | - Mark C. Kelley
- Division of Surgical Oncology, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, Tennessee, United States of America
| | - Martha J. Shrubsole
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, Tennessee, United States of America
| | - Ui Soon Khoo
- Department of Pathology, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong, China
| | - Kelvin Y. K. Chan
- Division of Surgical Oncology, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, Tennessee, United States of America
| | - Sum Yin Chan
- Department of Pathology, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong, China
| | - Christopher A. Haiman
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California/Norris Comprehensive Cancer Center, Los Angeles, California, United States of America
| | - Brian E. Henderson
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California/Norris Comprehensive Cancer Center, Los Angeles, California, United States of America
| | - Loic Le Marchand
- Epidemiology Program, Cancer Research Center, University of Hawaii, Honolulu, Hawaii, United States of America
| | - Motoki Iwasaki
- Epidemiology and Prevention Division, Research Center for Cancer Prevention and Screening, National Cancer Center, Tokyo, Japan
| | - Yoshio Kasuga
- Department of Surgery, Nagano Matsushiro General Hospital, Nagano, Japan
| | - Shoichiro Tsugane
- Epidemiology and Prevention Division, Research Center for Cancer Prevention and Screening, National Cancer Center, Tokyo, Japan
| | - Keitaro Matsuo
- Division of Epidemiology and Prevention, Aichi Cancer Center Research Institute, Nagoya, Japan
| | - Kazuo Tajima
- Division of Epidemiology and Prevention, Aichi Cancer Center Research Institute, Nagoya, Japan
| | - Hiroji Iwata
- Department of Breast Oncology, Aichi Cancer Center Central Hospital, Nagoya, Japan
| | - Bo Huang
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, Tennessee, United States of America
| | - Jiajun Shi
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, Tennessee, United States of America
| | - Guoliang Li
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, Tennessee, United States of America
| | - Wanqing Wen
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, Tennessee, United States of America
| | - Yu-Tang Gao
- Department of Epidemiology, Shanghai Cancer Institute, Shanghai, China
| | - Wei Lu
- Shanghai Center for Disease Control and Prevention, Shanghai, China
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, Tennessee, United States of America
- * E-mail:
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Deming SL, Egbuji A, Smith J, Gociu A, Young J, Carter C, Barnes F, Oduma J, Kimende K, Onayade A, Durosinmi M, Lawal OO, Adegoke OJ, Marshall DR. Challenges unique to the design of a comprehensive questionnaire assessing breast cancer risk factors among women in sub-Saharan Africa. J Health Care Poor Underserved 2010; 21:11-6. [PMID: 20173281 DOI: 10.1353/hpu.0.0274] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
We assessed the efficacy of a pilot questionnaire designed to elicit information about external risk factors for breast cancer in sub-Saharan African women. Preliminary analysis identified areas of the questionnaire and interviewing process that required modification, as well as socioeconomic factors that contribute to reduced participation among these understudied populations.
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Affiliation(s)
- Sandra L Deming
- Vanderbilt Epidemiology Center Institute for Medicine and Public Health TN, USA
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27
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Beeghly-Fadiel A, Lu W, Gao YT, Long J, Deming SL, Cai Q, Zheng Y, Shu XO, Zheng W. E-cadherin polymorphisms and breast cancer susceptibility: a report from the Shanghai Breast Cancer Study. Breast Cancer Res Treat 2009; 121:445-52. [PMID: 19834798 DOI: 10.1007/s10549-009-0579-7] [Citation(s) in RCA: 14] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2009] [Accepted: 10/05/2009] [Indexed: 01/27/2023]
Abstract
The epithelial transmembrane glycoprotein E-cadherin (CDH1) is necessary for intercellular adhesion, cell signaling, and maintenance of cellular differentiation; reduced expression contributes to cell proliferation, invasion, and cancer progression. Functional or potentially functional single nucleotide polymorphisms (SNPs) in E-cadherin have been previously identified and evaluated in relation to cancer risk; however, studies on breast cancer have been sparse. Forty-six SNPs were genotyped to capture genetic variation of the CDH1 gene among 2,290 Phase 1 and 1,944 Phase 2 participants of the Shanghai Breast Cancer Study (SBCS), a large, population-based, case-control study. No overall associations between E-cadherin SNPs and breast cancer risk were observed. When stratified by menopausal status, associations that were consistent between Phases 1 and 2 and significant when data from both phases were combined were observed for several SNPs. Although none of these associations retained statistical significance after correcting for the total number of polymorphisms evaluated, this study suggests that genetic variation in CDH1 may be associated with breast cancer risk, and that this relationship may vary by menopausal status.
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Affiliation(s)
- Alicia Beeghly-Fadiel
- Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Institute of Medicine and Public Health, Vanderbilt University Medical Center, Vanderbilt University School of Medicine, 2525 West End Avenue, 8th Floor, Nashville, TN 37203-1738, USA
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Zheng W, Cai Q, Signorello LB, Long J, Hargreaves MK, Deming SL, Li G, Li C, Cui Y, Blot WJ. Evaluation of 11 breast cancer susceptibility loci in African-American women. Cancer Epidemiol Biomarkers Prev 2009; 18:2761-4. [PMID: 19789366 DOI: 10.1158/1055-9965.epi-09-0624] [Citation(s) in RCA: 70] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
Recent genome-wide association studies (GWAS) have identified multiple common genetic risk variants for breast cancer among women of Asian and European ancestry. Investigating these genetic susceptibility loci in other populations would be helpful to evaluate the generalizability of the findings and identify the causal variants for breast cancer. We evaluated 11 GWAS-identified genetic susceptibility loci for breast cancer in a study including 2,594 African-American women (810 cases and 1,784 controls). Two single-nucleotide polymorphisms, rs13387042 (2q35) and rs1219648 (FGFR2 gene), were found to be associated with breast cancer risk. Risk increased nearly linearly with the number of affected risk alleles, with a 2-fold elevated risk for women homozygous for the risk alleles in both single-nucleotide polymorphisms. No additional significant associations, however, were identified for the other nine loci evaluated in the study. The results from this study extend some of the recent GWAS findings to African-Americans and may guide future efforts to identify the causal variants for breast cancer.
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Affiliation(s)
- Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Nashville, TN 37203-1738, USA.
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Beeghly-Fadiel A, Xiang YB, Deming SL, Long JR, Xu WH, Cai Q, Zheng W, Shu XO. No association between matrix metalloproteinase (MMP)-1, MMP-3, and MMP-7 SNPs and endometrial cancer risk. Cancer Epidemiol Biomarkers Prev 2009; 18:1925-8. [PMID: 19435861 DOI: 10.1158/1055-9965.epi-09-0244] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022] Open
Affiliation(s)
- Alicia Beeghly-Fadiel
- Division of Epidemiology, Vanderbilt University Medical Center, Nashville, Tennessee 37203-1738, USA
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Hong YS, Deming SL, Gao YT, Long JR, Shu XO, Cai Q, Lu W, Zheng W. A two-stage case-control study of EGFR polymorphisms and breast cancer risk. Cancer Epidemiol Biomarkers Prev 2009; 18:680-3. [PMID: 19190167 DOI: 10.1158/1055-9965.epi-08-0961] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/20/2023] Open
Affiliation(s)
- Young-Seoub Hong
- Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN 37203-1738, USA
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Beeghly-Fadiel A, Long JR, Gao YT, Li C, Qu S, Cai Q, Zheng Y, Ruan ZX, Levy SE, Deming SL, Snoddy JR, Shu XO, Lu W, Zheng W. Common MMP-7 polymorphisms and breast cancer susceptibility: a multistage study of association and functionality. Cancer Res 2008; 68:6453-9. [PMID: 18648013 DOI: 10.1158/0008-5472.can-08-0636] [Citation(s) in RCA: 37] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
Matrix metalloproteinase-7 (MMP-7) is a small secreted proteolytic enzyme with broad substrate specificity against ECM and non-ECM components. Known to be vital for tumor invasion and metastasis, accumulating evidence also implicates MMP-7 in cancer development. Using data from the Shanghai Breast Cancer Study, we conducted a two-stage study to evaluate the association of MMP-7 single nucleotide polymorphisms (SNPs) with breast cancer risk. Additionally, associated SNPs were characterized by laboratory assays. In stage 1, 11 SNPs were genotyped among 1,079 incident cases and 1,082 community controls using an Affymetrix Genotyping System. Promising SNPs were selected for stage 2 evaluation and genotyped by TaqMan allelic discrimination assays in an independent set of 1,911 cases and 1,811 controls. Three SNPs were selected for stage 2 validation (rs880197, rs10895304, and rs12184413); one had highly consistent results between the two stages of the study. In combined analysis, homozygosity for the variant T allele for rs12184413 was associated with an odds ratio (OR) of 0.7 [95% confidence interval (95% CI), 0.6-0.9] compared with the common C allele. This effect was slightly more pronounced in postmenopausal women (OR, 0.6; 95% CI, 0.4-0.8) than in premenopausal women (OR, 0.8; 95% CI, 0.6-1.1). This SNP is located 3' of the MMP-7 gene, in an area enriched with CTCF binding sites. In silico analysis suggested a regulatory role for this region, and our in vitro assays showed an allelic difference in nuclear protein binding capacity. Results from our study suggest that common MMP-7 genetic polymorphisms may contribute to breast cancer susceptibility.
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Affiliation(s)
- Alicia Beeghly-Fadiel
- Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, Tennessee 37203-1738, USA
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Deming SL, Zheng W, Xu WH, Cai Q, Ruan Z, Xiang YB, Shu XO. UGT1A1 genetic polymorphisms, endogenous estrogen exposure, soy food intake, and endometrial cancer risk. Cancer Epidemiol Biomarkers Prev 2008; 17:563-70. [PMID: 18349273 DOI: 10.1158/1055-9965.epi-07-0752] [Citation(s) in RCA: 28] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
Estrogen exposures play a critical role in the development of endometrial cancer. Genetic variation in the estrogen metabolism UGT1A1 gene may modify the effect of estrogenic exposures on endometrial cancer risk. We tested this hypothesis in a population-based case-control study of 1,047 endometrial cancer cases and 1,035 controls who completed an in-person interview and were genotyped for the UGT1A1 polymorphisms rs2070959 (A/G), rs887829 (G/A), and rs8175347 (6/7 TA repeats). Estrogen exposure-related factors evaluated include menstrual characteristics, oral contraceptive use, body mass index, waist-hip ratio, and soy food intake. Conditional logistic regression was used to calculate odds ratios and 95% confidence intervals. The homozygote variant genotype (G/G) of the rs2070959 polymorphism was significantly associated with a reduced risk of endometrial cancer (odds ratio, 0.5; 95% confidence interval, 0.3-0.8). No significant associations between endometrial cancer risk and genotype were seen for the rs887829 and rs8175347 polymorphisms. Analysis of the joint effects of genotype and markers of estrogen exposure found the lowest risk of endometrial cancer among those with the homozygous variant genotype of the rs2070959 polymorphism and who were postmenopausal, had low body mass index, and had low soy food intake, although a test for multiplicative interaction was not significant. Taken together, these data suggest that the G/G genotype (rs2070959) in the UGT1A1 gene may decrease the risk of endometrial cancer and that this effect is most evident among women with low levels of endogenous estrogen exposure or with low soy food intake.
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Affiliation(s)
- Sandra L Deming
- Vanderbilt Epidemiology Center, Department of Medicine and Vanderbilt-Ingram Cancer Center, Nashville, TN 37203-1738, USA
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Beeghly-Fadiel A, Kataoka N, Shu XO, Cai Q, Deming SL, Gao YT, Zheng W. Her-2/neu amplification and breast cancer survival: results from the Shanghai breast cancer study. Oncol Rep 2008; 19:1347-1354. [PMID: 18425397 PMCID: PMC6519112] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/26/2023] Open
Abstract
Her-2/neu is a member of the epidermal growth factor receptor family that has been found to be overexpressed or amplified in approximately 20-30% of breast cancers. Negative prognosticators and a shortened survival have been shown to be associated with these changes in Her-2/neu, but previous studies have consisted of predominantly Caucasian populations. Additionally, chromogenic in situ hybridization (CISH) has been suggested to be a potential alternative to fluorescent in situ hybridization (FISH), the expensive and labor-intensive gold standard assay currently used for Her-2/neu amplification. This study evaluated breast cancer samples from 313 Chinese women participating in the Shanghai breast cancer study, of which 100 (32%) were found to have Her-2/neu amplification by either FISH or CISH methodologies. After a mean follow-up period of 6.67 years, Her-2/neu amplification was found to be significantly associated with an increased hazard of death, regardless of which assay was used to detect amplification. Patients with Her-2/neu amplification were approximately 60% more likely to die of the disease (HR: 1.6, 95% CI: 1.0-2.6) than patients without amplification, even after adjusting for age, stage, menopausal status, chemotherapy, radiotherapy and tamoxifen treatment. Furthermore, the negative prognostic effect of Her-2/neu varied by cancer stage, with greater risks of death evident among later stage patients. This study supports a negative prognostic role for Her-2/neu in breast cancer survival among a Chinese population, irrespective of whether FISH or CISH is used to detect amplification of the Her-2/neu gene.
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Affiliation(s)
- Alicia Beeghly-Fadiel
- Vanderbilt Epidemiology Center, Vanderbilt University School of Medicine, Nashville, TN 37232, USA
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Deming SL, Ren Z, Cai Q, Shu XO, Wen W, Long JR, Gao YT, Zheng W. IGF-I and IGF-II genetic variation and breast cancer risk in Chinese women: results from the Shanghai Breast Cancer Study. Cancer Epidemiol Biomarkers Prev 2008; 17:255-7. [PMID: 18199734 DOI: 10.1158/1055-9965.epi-07-2588] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Affiliation(s)
- Sandra L Deming
- Institute for Medicine and Public Health, Vanderbilt University Medical Center,2525 West End Avenue, Nashville, TN 3720-1738, USA
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Dorjgochoo T, Deming SL, Gao YT, Lu W, Zheng Y, Ruan Z, Zheng W, Shu XO. History of benign breast disease and risk of breast cancer among women in China: a case-control study. Cancer Causes Control 2008; 19:819-28. [PMID: 18347922 DOI: 10.1007/s10552-008-9145-6] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2007] [Accepted: 02/28/2008] [Indexed: 10/22/2022]
Abstract
BACKGROUND Data from the Shanghai Breast Cancer Study were analyzed to evaluate the relationship between benign breast disease (BBD) and breast cancer among Chinese women with a self-report of physician-diagnosed BBD. METHODS Study participants consisted of 3,452 breast cancer cases and 3,474 population controls recruited by the Shanghai Breast Cancer Study. In-person interviews were conducted to collect information on demographics and suspected risk factors for breast cancer, including a detailed history of BBD. Unconditional logistic regression was used to derive adjusted odds ratios (OR(adj)) and 95% confidence intervals (CI) for the association between self-reported BBD and breast cancer. RESULTS Women with breast cancer were significantly more likely to have a self-reported history of BBD including lobular proliferation (OR(adj) = 1.6; 95% CI 1.4-1.8), fibroadenoma (OR(adj) = 1.9; 95% CI 1.6-2.3), and other BBD (OR(adj) = 1.6; 95% CI 1.3-2.1). Breast cancer risk was lower for surgically treated fibroadenoma as compared to non-surgically treated and higher for other BBDs that were surgically treated versus non-surgically treated. CONCLUSIONS Our results suggest that personal history of BBD is associated with an increased risk of future breast cancer among women in China. Surgical intervention for fibroadenoma may reduce the risk.
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Affiliation(s)
- Tsogzolmaa Dorjgochoo
- Department of Medicine, Vanderbilt Epidemiology Center, Institute of Medicine & Public Health, Vanderbilt University Medical Center and Vanderbilt-Ingram Cancer Center, Sixth Floor, Suite 600, 2525 West End Avenue, Nashville, TN 37203-1738, USA
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Deming SL, Ren Z, Wen W, Shu XO, Cai Q, Gao YT, Zheng W. Genetic variation in IGF1, IGF-1R, IGFALS, and IGFBP3 in breast cancer survival among Chinese women: a report from the Shanghai Breast Cancer Study. Breast Cancer Res Treat 2006; 104:309-19. [PMID: 17063263 DOI: 10.1007/s10549-006-9420-8] [Citation(s) in RCA: 22] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2006] [Accepted: 09/24/2006] [Indexed: 10/24/2022]
Abstract
Disruption of the balance of IGF (Insulin like growth factor) pathway constituents has been implicated in the etiology and progression of breast and other cancers. We hypothesized that genetic polymorphisms in IGF system members may be associated with breast cancer survival and evaluated this hypothesis in a cohort of 1,455 women diagnosed with breast cancer between 1996 and 1998 in Shanghai, China. Nineteen functional or potentially functional polymorphisms were evaluated in the IGF-1, IGF-1R, IGFALS, and IGFBP3 genes. Disease recurrence and vital status were obtained with a median follow-up time of 7.1 years. Cox proportional hazards models were used to estimate hazard ratios (HR) and 95% confidence intervals (CI). Overall, no significant association was noted between any of the 19 polymorphisms and survival. However, subgroup analyses demonstrated apparent interactions between menopausal status and survival for several (Single nucleotide polymorphism) SNPs in the IGF-1R and IGFBP3 genes. Carriers of the A/G or G/G genotypes (rs951715) in the IGF-1R gene had an increased risk of death among post-menopausal women (HR = 1.7, 95% CI = 1.1-2.7). Significant associations with breast cancer survival in pre-menopausal women were found for two IGFBP3 polymorphisms (rs2854744 and rs3110697), with an additional polymorphism (rs6413441) reaching borderline significance (P = 0.05). Hazard ratios for overall survival among pre-menopausal women were 1.5 (95% CI = 1.1-2.0) for the C/T-T/T genotypes (rs3110697), 1.4 (95% CI = 1.0-1.9) for the A/C-C/C genotypes (rs2854744), and 1.4 (95% CI = 1.0-1.9) for the N/A-A/A genotypes (rs6413441). Taken together, these data suggest that polymorphisms in the IGF-1R and IGFBP3 genes may be associated with altered survival among subgroups of breast cancer patients defined by menopausal status.
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Affiliation(s)
- Sandra L Deming
- Department of Medicine and Vanderbilt-Ingram Cancer Center, Vanderbilt Epidemiology Center, Vanderbilt University Medical Center, Nashville, TN 37232, USA
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Carey LA, Perou CM, Livasy CA, Dressler LG, Cowan D, Conway K, Karaca G, Troester MA, Tse CK, Edmiston S, Deming SL, Geradts J, Cheang MCU, Nielsen TO, Moorman PG, Earp HS, Millikan RC. Race, breast cancer subtypes, and survival in the Carolina Breast Cancer Study. JAMA 2006; 295:2492-502. [PMID: 16757721 DOI: 10.1001/jama.295.21.2492] [Citation(s) in RCA: 2679] [Impact Index Per Article: 148.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
CONTEXT Gene expression analysis has identified several breast cancer subtypes, including basal-like, human epidermal growth factor receptor-2 positive/estrogen receptor negative (HER2+/ER-), luminal A, and luminal B. OBJECTIVES To determine population-based distributions and clinical associations for breast cancer subtypes. DESIGN, SETTING, AND PARTICIPANTS Immunohistochemical surrogates for each subtype were applied to 496 incident cases of invasive breast cancer from the Carolina Breast Cancer Study (ascertained between May 1993 and December 1996), a population-based, case-control study that oversampled premenopausal and African American women. Subtype definitions were as follows: luminal A (ER+ and/or progesterone receptor positive [PR+], HER2-), luminal B (ER+ and/or PR+, HER2+), basal-like (ER-, PR-, HER2-, cytokeratin 5/6 positive, and/or HER1+), HER2+/ER- (ER-, PR-, and HER2+), and unclassified (negative for all 5 markers). MAIN OUTCOME MEASURES We examined the prevalence of breast cancer subtypes within racial and menopausal subsets and determined their associations with tumor size, axillary nodal status, mitotic index, nuclear pleomorphism, combined grade, p53 mutation status, and breast cancer-specific survival. RESULTS The basal-like breast cancer subtype was more prevalent among premenopausal African American women (39%) compared with postmenopausal African American women (14%) and non-African American women (16%) of any age (P<.001), whereas the luminal A subtype was less prevalent (36% vs 59% and 54%, respectively). The HER2+/ER- subtype did not vary with race or menopausal status (6%-9%). Compared with luminal A, basal-like tumors had more TP53 mutations (44% vs 15%, P<.001), higher mitotic index (odds ratio [OR], 11.0; 95% confidence interval [CI], 5.6-21.7), more marked nuclear pleomorphism (OR, 9.7; 95% CI, 5.3-18.0), and higher combined grade (OR, 8.3; 95% CI, 4.4-15.6). Breast cancer-specific survival differed by subtype (P<.001), with shortest survival among HER2+/ER- and basal-like subtypes. CONCLUSIONS Basal-like breast tumors occurred at a higher prevalence among premenopausal African American patients compared with postmenopausal African American and non-African American patients in this population-based study. A higher prevalence of basal-like breast tumors and a lower prevalence of luminal A tumors could contribute to the poor prognosis of young African American women with breast cancer.
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Affiliation(s)
- Lisa A Carey
- Division of Hematology/Oncology, School of Public Health, Department of Epidemiology, University of North Carolina-Lineberger Comprehensive Cancer Center, Chapel Hill, NC 27599-7305, USA.
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Abstract
Data from basic research suggests that amplification of the proto-oncogene c-myc is important in breast cancer pathogenesis, but its frequency of amplification and prognostic relevance in human studies have been inconsistent. In an effort to clarify the clinical significance of c-myc amplification in breast cancer, we conducted a comprehensive literature search and a meta-analysis in which 29 studies were evaluated. The weighted average frequency of c-myc amplification in breast tumours was 15.7% (95% CI = 12.5-18.8%), although estimates in individual studies exhibited significant heterogeneity, P<0.0001. C-myc amplification exhibited significant but weak associations with tumour grade (RR = 1.61), lymph-node metastasis (RR = 1.24), negative progesterone receptor status (RR = 1.27), and postmenopausal status (RR = 0.82). Amplification was significantly associated with risk of relapse and death, with pooled estimates RR = 2.05 (95% CI = 1.51-2.78) and RR = 1.74 (95% CI = 1.27-2.39), respectively. This effect did not appear to be merely a surrogate for other prognostic factors. These results suggest that c-myc amplification is relatively common in breast cancer and may provide independent prognostic information. More rigorous studies with consistent methodology are required to validate this association, and to investigate its potential as a molecular predictor of specific therapy response.
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Affiliation(s)
- S L Deming
- Department of Oncology and Lombardi Cancer Center, Georgetown University, Wisconsin Avenue, Washington, DC 20007, USA
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Liao DJ, Natarajan G, Deming SL, Jamerson MH, Johnson M, Chepko G, Dickson RB. Cell cycle basis for the onset and progression of c-Myc-induced, TGFalpha-enhanced mouse mammary gland carcinogenesis. Oncogene 2000; 19:1307-17. [PMID: 10713672 DOI: 10.1038/sj.onc.1203430] [Citation(s) in RCA: 38] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
Using single and double transgenic mouse models, we investigated how c-Myc modulates the mammary epithelial cell cycle to induce cancer and how TGFalpha enhanced the process. In c-myc transgenic mice, c-myc expression was high in the hyperplastic mammary epithelium and in the majority of tumor areas. However, the tumors displayed focal areas of low expression of c-myc but high rates of proliferation. In contrast to E2F1 and cyclin A2, which were induced and co-localized with c-myc expression, induction of cyclins D1 and E occurred only in these tumor foci. Overexpression of cyclin D1 also occurred in the hyperplastic epithelium of tgfalpha-single and tgfalpha/c-myc-double transgenic mice. In tgfalpha/c-myc tumors, cells positive for cyclins D1 and E were randomly spread, without showing a reciprocal relationship to c-myc expression. In contrast to c-myc tumors, most tgfalpha/c-myc tumors showed undetectable levels of retinoblastoma protein (pRB), and the loss of pRB occurred in some cases at the mRNA level. These results suggest that E2F1 and cyclin A2 may be induced by c-Myc to mediate the onset of mammary cancer, whereas overexpression of cyclins D1 and E may occur later to facilitate tumor progression. TGFalpha may play its synergistic role, at least in part, by inducing cyclin D1 and facilitating the loss of pRB.
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Affiliation(s)
- D J Liao
- Vincent T Lombardi Cancer Center, Georgetown University Medical Center, 3970 Reservoir Road NW, Washington DC 20007, USA
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Abstract
CS-1 melanoma cells transfected with cDNAs encoding either the beta 3 or beta 5 integrin subunit protein express alpha v beta 3 or alpha v beta 5, respectively, enabling them to adhere to vitronectin yet only alpha v beta 3 promotes cell spreading and migration on this substrate. Following exposure to insulin or insulin-like growth factor, alpha v beta 5-expressing CS-1 cells gain the ability to migrate on vitronectin. To identify structural regions in beta 3 or beta 5 that account for these distinct biological properties, CS-1 cells were transfected with one of two chimeric beta subunit proteins, in which the ecto- and cytoplasmic domains of beta 3 and beta 5 were exchanged (termed alpha v beta 3/5 or alpha v beta 5/3). Surprisingly, alpha v beta 3/5 expressing cells spread and migrate on vitronectin while cells expressing alpha v beta 5/3 do not unless they are exposed to cytokine. These findings suggest that the distinct migratory properties mediated by integrins alpha v beta 3 and alpha v beta 5 and their response to cytokine activation is determined by a sequence(s) within the ectodomain of the integrin beta subunit.
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Affiliation(s)
- E J Filardo
- Department of Immunology, Scripps Research Institute, La Jolla, CA 92037, USA
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Filardo EJ, Brooks PC, Deming SL, Damsky C, Cheresh DA. Requirement of the NPXY motif in the integrin beta 3 subunit cytoplasmic tail for melanoma cell migration in vitro and in vivo. J Biophys Biochem Cytol 1995; 130:441-50. [PMID: 7542248 PMCID: PMC2199943 DOI: 10.1083/jcb.130.2.441] [Citation(s) in RCA: 162] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/25/2023] Open
Abstract
The NPXY sequence is highly conserved among integrin beta subunit cytoplasmic tails, suggesting that it plays a fundamental role in regulating integrin-mediated function. Evidence is provided that the NPXY structural motif within the beta 3 subunit, comprising residues 744-747, is essential for cell morphological and migratory responses mediated by integrin alpha v beta 3 in vitro and in vivo. Transfection of CS-1 melanoma cells with a cDNA encoding the wild-type integrin beta 3 subunit, results in de novo alpha v beta 3 expression and cell attachment, spreading, and migration on vitronectin. CS-1 cells expressing alpha v beta 3 with mutations that disrupt the NPXY sequence interact with soluble vitronectin or an RGD peptide, yet fail to attach, spread, or migrate on immobilized ligand. The biological consequences of these observations are underscored by the finding that CS-1 cells expressing wild-type alpha v beta 3 acquire the capacity to form spontaneous pulmonary metastases in the chick embryo when grown on the chorioallantoic membrane. However, migration-deficient CS-1 cells expressing alpha v beta 3 with mutations in the NPXY sequence lose this ability to metastasize. These findings demonstrate that the NPXY motif within the integrin beta 3 cytoplasmic tail is essential for alpha v beta 3-dependent post-ligand binding events involved in cell migration and the metastatic phenotype of melanoma cells.
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Affiliation(s)
- E J Filardo
- Department of Immunology, Scripps Research Institute, La Jolla, California 92037, USA
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