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Gunn H, Stevens KN, Creanor S, Andrade J, Paul L, Miller L, Green C, Ewings P, Barton A, Berrow M, Vickery J, Marshall B, Zajicek J, Freeman JA. Balance Right in Multiple Sclerosis (BRiMS): a feasibility randomised controlled trial of a falls prevention programme. Pilot Feasibility Stud 2021; 7:2. [PMID: 33390184 PMCID: PMC7780657 DOI: 10.1186/s40814-020-00732-9] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2019] [Accepted: 11/23/2020] [Indexed: 11/24/2022] Open
Abstract
Background Balance, mobility impairments and falls are problematic for people with multiple sclerosis (MS). The “Balance Right in MS (BRiMS)” intervention, a 13-week home and group-based exercise and education programme, aims to improve balance and minimise falls. This study aimed to evaluate the feasibility of undertaking a multi-centre randomised controlled trial and to collect the necessary data to design a definitive trial. Methods This randomised controlled feasibility study recruited from four United Kingdom NHS clinical neurology services. Patients ≥ 18 years with secondary progressive MS (Expanded Disability Status Scale 4 to 7) reporting more than two falls in the preceding 6 months were recruited. Participants were block-randomised to either a manualised 13-week education and exercise programme (BRiMS) plus usual care, or usual care alone. Feasibility assessment evaluated recruitment and retention rates, adherence to group assignment and data completeness. Proposed outcomes for the definitive trial (including impact of MS, mobility, quality of life and falls) and economic data were collected at baseline, 13 and 27 weeks, and participants completed daily paper falls diaries. Results Fifty-six participants (mean age 59.7 years, 66% female, median EDSS 6.0) were recruited in 5 months; 30 randomised to the intervention group. Ten (18%) participants withdrew, 7 from the intervention group. Two additional participants were lost to follow up at the final assessment point. Completion rates were > 98% for all outcomes apart from the falls diary (return rate 62%). After adjusting for baseline score, mean intervention—usual care between-group differences for the potential primary outcomes at week 27 were MS Walking Scale-12v2: − 7.7 (95% confidence interval [CI] − 17.2 to 1.8) and MS Impact Scale-29v2: physical 0.6 (CI − 7.8 to 9), psychological − 0.4 (CI − 9.9 to 9). In total, 715 falls were reported, rate ratio (intervention:usual care) for falls 0.81 (0.41 to 2.26) and injurious falls 0.44 (0.41 to 2.23). Conclusions Procedures were practical, and retention, programme engagement and outcome completion rates satisfied a priori progression criteria. Challenges were experienced in completion and return of daily falls diaries. Refinement of methods for reporting falls is therefore required, but we consider a full trial to be feasible. Trial registration ISRCTN13587999 Date of registration: 29 September 2016
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Affiliation(s)
- H Gunn
- Faculty of Health, School of Health Professions, Peninsula Allied Health Centre, University of Plymouth, Derriford Road, Plymouth, PL6 8BH, England.
| | - K N Stevens
- Faculty of Health, Medical Statistics Group, Room N15, Plymouth Science Park, Plymouth, PL6 8BX, England.,Peninsula Clinical Trials Unit, University of Plymouth, Room N16, Plymouth Science Park, Plymouth, PL6 8BX, England
| | - S Creanor
- Faculty of Health, Medical Statistics Group, Room N15, Plymouth Science Park, Plymouth, PL6 8BX, England.,University of Exeter Medical School, College of Medicine & Health, University of Exeter, Exeter, England
| | - J Andrade
- Faculty of Health, School of Psychology, University of Plymouth, Portland Square Building, Drake Circus Campus, Plymouth, PL4 8AA, England
| | - L Paul
- School of Health & Life Sciences, Glasgow Caledonian University, Cowcaddens Road, Glasgow, G4 0BA, Scotland
| | - L Miller
- Douglas Grant Rehabilitation Unit, Ayrshire Central Hospital, Kilwinning Road, Irvine, KA12 8SS, Scotland
| | - C Green
- University of Exeter Medical School, Health Economics Group, University of Exeter, St. Luke's Campus, Exeter, EX1 2LU, England
| | - P Ewings
- NIHR Research Design Service (South West), Musgrove Park Hospital, Taunton, TA1 5DA, England
| | - A Barton
- Faculty of Medicine and Dentistry, NIHR Research Design Service South West, ITTC Building, Plymouth Science Park, Plymouth, PL6 8BX, England
| | - M Berrow
- Faculty of Health, Medical Statistics Group, Room N15, Plymouth Science Park, Plymouth, PL6 8BX, England
| | - J Vickery
- Faculty of Health, Medical Statistics Group, Room N15, Plymouth Science Park, Plymouth, PL6 8BX, England
| | - B Marshall
- Faculty of Health, School of Health Professions, Peninsula Allied Health Centre, University of Plymouth, Derriford Road, Plymouth, PL6 8BH, England
| | - J Zajicek
- School of Medicine, Medical and Biological Sciences, University of St. Andrews, North Haugh, St. Andrews, KY16 9TF, Scotland
| | - J A Freeman
- Faculty of Health, School of Health Professions, Peninsula Allied Health Centre, University of Plymouth, Derriford Road, Plymouth, PL6 8BH, England
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Rudolph A, Hein R, Lindström S, Beckmann L, Behrens S, Liu J, Aschard H, Bolla MK, Wang J, Truong T, Cordina-Duverger E, Menegaux F, Brüning T, Harth V, Severi G, Baglietto L, Southey M, Chanock SJ, Lissowska J, Figueroa JD, Eriksson M, Humpreys K, Darabi H, Olson JE, Stevens KN, Vachon CM, Knight JA, Glendon G, Mulligan AM, Ashworth A, Orr N, Schoemaker M, Webb PM, Guénel P, Brauch H, Giles G, García-Closas M, Czene K, Chenevix-Trench G, Couch FJ, Andrulis IL, Swerdlow A, Hunter DJ, Flesch-Janys D, Easton DF, Hall P, Nevanlinna H, Kraft P, Chang-Claude J. Genetic modifiers of menopausal hormone replacement therapy and breast cancer risk: a genome-wide interaction study. Endocr Relat Cancer 2013; 20:875-87. [PMID: 24080446 PMCID: PMC3863710 DOI: 10.1530/erc-13-0349] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/27/2023]
Abstract
Women using menopausal hormone therapy (MHT) are at increased risk of developing breast cancer (BC). To detect genetic modifiers of the association between current use of MHT and BC risk, we conducted a meta-analysis of four genome-wide case-only studies followed by replication in 11 case-control studies. We used a case-only design to assess interactions between single-nucleotide polymorphisms (SNPs) and current MHT use on risk of overall and lobular BC. The discovery stage included 2920 cases (541 lobular) from four genome-wide association studies. The top 1391 SNPs showing P values for interaction (Pint) <3.0 × 10(-3) were selected for replication using pooled case-control data from 11 studies of the Breast Cancer Association Consortium, including 7689 cases (676 lobular) and 9266 controls. Fixed-effects meta-analysis was used to derive combined Pint. No SNP reached genome-wide significance in either the discovery or combined stage. We observed effect modification of current MHT use on overall BC risk by two SNPs on chr13 near POMP (combined Pint≤8.9 × 10(-6)), two SNPs in SLC25A21 (combined Pint≤4.8 × 10(-5)), and three SNPs in PLCG2 (combined Pint≤4.5 × 10(-5)). The association between lobular BC risk was potentially modified by one SNP in TMEFF2 (combined Pint≤2.7 × 10(-5)), one SNP in CD80 (combined Pint≤8.2 × 10(-6)), three SNPs on chr17 near TMEM132E (combined Pint≤2.2×10(-6)), and two SNPs on chr18 near SLC25A52 (combined Pint≤4.6 × 10(-5)). In conclusion, polymorphisms in genes related to solute transportation in mitochondria, transmembrane signaling, and immune cell activation are potentially modifying BC risk associated with current use of MHT. These findings warrant replication in independent studies.
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Affiliation(s)
- Anja Rudolph
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Rebecca Hein
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
- PMV Research Group at the Department of Child and Adolescent Psychiatry and Psychotherapy, University of Cologne, Cologne, Germany
| | - Sara Lindström
- Program in Molecular and Genetic Epidemiology, Harvard School of Public Health, Boston, Massachusetts, USA
- Department of Epidemiology, Harvard School of Public Health, Boston, Massachusetts, USA
| | - Lars Beckmann
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Foundation for Quality and Efficiency in Health Care (IQWIG), Cologne, Germany
| | - Sabine Behrens
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Jianjun Liu
- Human Genetics, Genome Institute of Singapore, Singapore, Singapore
| | - Hugues Aschard
- Program in Molecular and Genetic Epidemiology, Harvard School of Public Health, Boston, Massachusetts, USA
- Department of Epidemiology, Harvard School of Public Health, Boston, Massachusetts, USA
| | - Manjeet K. Bolla
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Jean Wang
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Thérèse Truong
- INSERM (National Institute of Health and Medical Research), CESP (Center for Research in Epidemiology and Population Health), U1018, Environmental Epidemiology of Cancer, Villejuif, France
- Unité Mixte de Recherche Scientifique (UMRS) 1018, University Paris-Sud, Villejuif, France
| | - Emilie Cordina-Duverger
- INSERM (National Institute of Health and Medical Research), CESP (Center for Research in Epidemiology and Population Health), U1018, Environmental Epidemiology of Cancer, Villejuif, France
- Unité Mixte de Recherche Scientifique (UMRS) 1018, University Paris-Sud, Villejuif, France
| | - Florence Menegaux
- INSERM (National Institute of Health and Medical Research), CESP (Center for Research in Epidemiology and Population Health), U1018, Environmental Epidemiology of Cancer, Villejuif, France
- Unité Mixte de Recherche Scientifique (UMRS) 1018, University Paris-Sud, Villejuif, France
| | - Thomas Brüning
- Institute for Prevention and Occupational Medicine of the German Social Accident Insurance, Institute of the Ruhr-Universität Bochum (IPA), Bochum, Germany
| | - Volker Harth
- Institute for Occupational Medicine and Maritime Medicine, University Medical Center Hamburg-Eppendorf, Germany
| | - The GENICA Network
- Institute for Prevention and Occupational Medicine of the German Social Accident Insurance, Institute of the Ruhr-Universität Bochum (IPA), Bochum, Germany
- Institute for Occupational Medicine and Maritime Medicine, University Medical Center Hamburg-Eppendorf, Germany
- Department of Internal Medicine, Evangelische Kliniken Bonn gGmbH, Johanniter Krankenhaus, Bonn, Germany
- Institute of Pathology, University of Bonn, Germany
- Molecular Genetics of Breast Cancer, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Dr. Margarete Fischer-Bosch-Institute of Clinical Pharmacology, University of Tübingen, Stuttgart, Germany
| | - Gianluca Severi
- Cancer Epidemiology Centre, The Cancer Council Victoria, Melbourne, Australia
- Centre for Molecular, Environmental, Genetic, and Analytic Epidemiology, The University of Melbourne, Australia
| | - Laura Baglietto
- Cancer Epidemiology Centre, The Cancer Council Victoria, Melbourne, Australia
- Centre for Molecular, Environmental, Genetic, and Analytic Epidemiology, The University of Melbourne, Australia
| | - Melissa Southey
- Department of Pathology, The University of Melbourne, Australia
| | - Stephen J. Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, United States of America
| | - Jolanta Lissowska
- Department of Cancer Epidemiology and Prevention, M. Sklodowska-Curie Memorial Cancer Center & Institute of Oncology, Warsaw, Poland
| | - Jonine D. Figueroa
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, United States of America
| | - Mikael Eriksson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Keith Humpreys
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Hatef Darabi
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Janet E. Olson
- Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, United States of America
| | - Kristen N. Stevens
- Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, United States of America
| | - Celine M. Vachon
- Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, United States of America
| | - Julia A. Knight
- Samuel Lunenfeld Research Institute, Mount Sinai Hospital, Toronto, Ontario, Canada
- Division of Epidemiology, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| | - Gord Glendon
- Ontario Cancer Genetics Network, Samuel Lunenfeld Research Institute, Mount Sinai Hospital, Toronto, Ontario, Canada
| | - Anna Marie Mulligan
- Laboratory Medicine Program, University Health Network; Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario, Canada
| | - Alan Ashworth
- Breakthrough Breast Cancer Research Centre, The Institute of Cancer Research, London, UK
- Division of Breast Cancer Research, The Institute of Cancer Research, Sutton, Surrey, UK
| | - Nicholas Orr
- Breakthrough Breast Cancer Research Centre, The Institute of Cancer Research, London, UK
- Division of Breast Cancer Research, The Institute of Cancer Research, Sutton, Surrey, UK
| | - Minouk Schoemaker
- Breakthrough Breast Cancer Research Centre, The Institute of Cancer Research, London, UK
- Division of Breast Cancer Research, The Institute of Cancer Research, Sutton, Surrey, UK
| | - Penny M. Webb
- Queensland Institute of Medical Research, Brisbane, Australia
| | | | - AOCS Management Group
- Queensland Institute of Medical Research, Brisbane, Australia
- Peter MacCallum Cancer Center, Melbourne, Australia
| | - Pascal Guénel
- INSERM (National Institute of Health and Medical Research), CESP (Center for Research in Epidemiology and Population Health), U1018, Environmental Epidemiology of Cancer, Villejuif, France
- Unité Mixte de Recherche Scientifique (UMRS) 1018, University Paris-Sud, Villejuif, France
| | - Hiltrud Brauch
- Dr. Margarete Fischer-Bosch-Institute of Clinical Pharmacology, University of Tübingen, Stuttgart, Germany
| | - Graham Giles
- Cancer Epidemiology Centre, The Cancer Council Victoria, Melbourne, Australia
- Centre for Molecular, Environmental, Genetic, and Analytic Epidemiology, The University of Melbourne, Australia
| | - Montserrat García-Closas
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, United States of America
- Sections of Epidemiology and Genetics, Institute of Cancer Research and Breakthrough Breast Cancer Research Centre, London, United Kingdom
| | - Kamila Czene
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | | | - Fergus J. Couch
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota, United States of America
| | - Irene L. Andrulis
- Ontario Cancer Genetics Network, Fred A. Litwin Center for Cancer Genetics, Samuel Lunenfeld Research Institute, Mount Sinai Hospital, Toronto, Ontario, Canada
- Department of Molecular Genetics, University of Toronto, Toronto, Ontario, Canada
| | - Anthony Swerdlow
- Division of Breast Cancer Research, The Institute of Cancer Research, Sutton, Surrey, UK
- Division of Genetics and Epidemiology, The Institute of Cancer Research, Sutton, Surrey, UK
| | - David J. Hunter
- Program in Molecular and Genetic Epidemiology, Harvard School of Public Health, Boston, Massachusetts, USA
| | - Dieter Flesch-Janys
- Department of Cancer Epidemiology/Clinical Cancer Registry and Institute for Medical Biometrics and Epidemiology, University Clinic Hamburg-Eppendorf, Hamburg, Germany
| | - Douglas F. Easton
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, UK
| | - Per Hall
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Heli Nevanlinna
- Department of Obstetrics and Gynecology, University of Helsinki and Helsinki University Central Hospital, Helsinki, Finland
| | - Peter Kraft
- Program in Molecular and Genetic Epidemiology, Harvard School of Public Health, Boston, Massachusetts, USA
- Department of Epidemiology, Harvard School of Public Health, Boston, Massachusetts, USA
- Department of Biostatistics, Harvard School of Public Health, Boston, Massachusetts, USA
| | - Jenny Chang-Claude
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
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Michailidou K, Hall P, Gonzalez-Neira A, Ghoussaini M, Dennis J, Milne RL, Schmidt MK, Chang-Claude J, Bojesen SE, Bolla MK, Wang Q, Dicks E, Lee A, Turnbull C, Rahman N, Fletcher O, Peto J, Gibson L, Dos Santos Silva I, Nevanlinna H, Muranen TA, Aittomäki K, Blomqvist C, Czene K, Irwanto A, Liu J, Waisfisz Q, Meijers-Heijboer H, Adank M, van der Luijt RB, Hein R, Dahmen N, Beckman L, Meindl A, Schmutzler RK, Müller-Myhsok B, Lichtner P, Hopper JL, Southey MC, Makalic E, Schmidt DF, Uitterlinden AG, Hofman A, Hunter DJ, Chanock SJ, Vincent D, Bacot F, Tessier DC, Canisius S, Wessels LFA, Haiman CA, Shah M, Luben R, Brown J, Luccarini C, Schoof N, Humphreys K, Li J, Nordestgaard BG, Nielsen SF, Flyger H, Couch FJ, Wang X, Vachon C, Stevens KN, Lambrechts D, Moisse M, Paridaens R, Christiaens MR, Rudolph A, Nickels S, Flesch-Janys D, Johnson N, Aitken Z, Aaltonen K, Heikkinen T, Broeks A, Veer LJV, van der Schoot CE, Guénel P, Truong T, Laurent-Puig P, Menegaux F, Marme F, Schneeweiss A, Sohn C, Burwinkel B, Zamora MP, Perez JIA, Pita G, Alonso MR, Cox A, Brock IW, Cross SS, Reed MWR, Sawyer EJ, Tomlinson I, Kerin MJ, Miller N, Henderson BE, Schumacher F, Le Marchand L, Andrulis IL, Knight JA, Glendon G, Mulligan AM, Lindblom A, Margolin S, Hooning MJ, Hollestelle A, van den Ouweland AMW, Jager A, Bui QM, Stone J, Dite GS, Apicella C, Tsimiklis H, Giles GG, Severi G, Baglietto L, Fasching PA, Haeberle L, Ekici AB, Beckmann MW, Brenner H, Müller H, Arndt V, Stegmaier C, Swerdlow A, Ashworth A, Orr N, Jones M, Figueroa J, Lissowska J, Brinton L, Goldberg MS, Labrèche F, Dumont M, Winqvist R, Pylkäs K, Jukkola-Vuorinen A, Grip M, Brauch H, Hamann U, Brüning T, Radice P, Peterlongo P, Manoukian S, Bonanni B, Devilee P, Tollenaar RAEM, Seynaeve C, van Asperen CJ, Jakubowska A, Lubinski J, Jaworska K, Durda K, Mannermaa A, Kataja V, Kosma VM, Hartikainen JM, Bogdanova NV, Antonenkova NN, Dörk T, Kristensen VN, Anton-Culver H, Slager S, Toland AE, Edge S, Fostira F, Kang D, Yoo KY, Noh DY, Matsuo K, Ito H, Iwata H, Sueta A, Wu AH, Tseng CC, Van Den Berg D, Stram DO, Shu XO, Lu W, Gao YT, Cai H, Teo SH, Yip CH, Phuah SY, Cornes BK, Hartman M, Miao H, Lim WY, Sng JH, Muir K, Lophatananon A, Stewart-Brown S, Siriwanarangsan P, Shen CY, Hsiung CN, Wu PE, Ding SL, Sangrajrang S, Gaborieau V, Brennan P, McKay J, Blot WJ, Signorello LB, Cai Q, Zheng W, Deming-Halverson S, Shrubsole M, Long J, Simard J, Garcia-Closas M, Pharoah PDP, Chenevix-Trench G, Dunning AM, Benitez J, Easton DF. Large-scale genotyping identifies 41 new loci associated with breast cancer risk. Nat Genet 2013; 45:353-61, 361e1-2. [PMID: 23535729 PMCID: PMC3771688 DOI: 10.1038/ng.2563] [Citation(s) in RCA: 836] [Impact Index Per Article: 76.0] [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: 05/10/2012] [Accepted: 01/30/2013] [Indexed: 12/14/2022]
Abstract
Breast cancer is the most common cancer among women. Common variants at 27 loci have been identified as associated with susceptibility to breast cancer, and these account for ∼9% of the familial risk of the disease. We report here a meta-analysis of 9 genome-wide association studies, including 10,052 breast cancer cases and 12,575 controls of European ancestry, from which we selected 29,807 SNPs for further genotyping. These SNPs were genotyped in 45,290 cases and 41,880 controls of European ancestry from 41 studies in the Breast Cancer Association Consortium (BCAC). The SNPs were genotyped as part of a collaborative genotyping experiment involving four consortia (Collaborative Oncological Gene-environment Study, COGS) and used a custom Illumina iSelect genotyping array, iCOGS, comprising more than 200,000 SNPs. We identified SNPs at 41 new breast cancer susceptibility loci at genome-wide significance (P < 5 × 10(-8)). Further analyses suggest that more than 1,000 additional loci are involved in breast cancer susceptibility.
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Affiliation(s)
- Kyriaki Michailidou
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
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Abstract
Triple-negative breast cancers (TNBC), defined by the absence of estrogen receptor, progesterone receptor, and HER-2 expression, account for 12% to 24% of all breast cancers. TNBC is associated with early recurrence of disease and poor outcome. Germline mutations in the BRCA1 and BRCA2 breast cancer susceptibility genes have been associated with up to 15% of TNBC, and TNBC accounts for 70% of breast tumors arising in BRCA1 mutation carriers and 16% to 23% of breast tumors in BRCA2 carriers. Whether germline mutations in other breast cancer susceptibility genes also predispose to TNBC remains to be determined. Common variation in a subset of the 72 known breast cancer susceptibility loci identified through genome-wide association studies and other large-scale genotyping efforts have also been associated with risk of TNBC (TOX3, ESR1, RAD51L1, TERT, 19p13.1, 20q11, MDM4, 2p24.1, and FTO). Furthermore, variation in the 19p13.1 locus and the MDM4 locus has been associated with TNBC, but not other forms of breast cancer, suggesting that these are TNBC-specific loci. Thus, TNBC can be distinguished from other breast cancer subtypes by a unique pattern of common and rare germline predisposition alleles. Additional efforts to combine genetic and epidemiologic data are needed to better understand the etiology of this aggressive form of breast cancer, to identify prevention and therapeutic targets, and to impact clinical practice through the development of risk prediction models.
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Affiliation(s)
- Kristen N Stevens
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN 55905, USA
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Anderson BR, Stevens KN, Nicolson SC, Gruber SB, Spray TL, Wernovsky G, Gruber PJ. Contemporary outcomes of surgical ventricular septal defect closure. J Thorac Cardiovasc Surg 2013; 145:641-7. [DOI: 10.1016/j.jtcvs.2012.11.032] [Citation(s) in RCA: 47] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/09/2011] [Revised: 09/28/2012] [Accepted: 11/09/2012] [Indexed: 11/30/2022]
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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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7
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Stevens KN, Wang X, Fredericksen Z, Pankratz VS, Greene MH, Andrulis IL, Thomassen M, Caligo M, Nathanson KL, Jakubowska A, Osorio A, Hamann U, Godwin AK, Stoppa-Lyonnet D, Southey M, Buys SS, Singer CF, Hansen TVO, Arason A, Offit K, Piedmonte M, Montagna M, Imyanitov E, Tihomirova L, Sucheston L, Beattie M, Neuhausen SL, Szabo CI, Simard J, Spurdle AB, Healey S, Chen X, Rebbeck TR, Easton DF, Chenevix-Trench G, Antoniou AC, Couch FJ. Evaluation of chromosome 6p22 as a breast cancer risk modifier locus in a follow-up study of BRCA2 mutation carriers. Breast Cancer Res Treat 2012; 136:295-302. [PMID: 23011509 DOI: 10.1007/s10549-012-2255-6] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [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: 08/20/2012] [Accepted: 09/11/2012] [Indexed: 01/07/2023]
Abstract
Several common germline variants identified through genome-wide association studies of breast cancer risk in the general population have recently been shown to be associated with breast cancer risk for BRCA1 and/or BRCA2 mutation carriers. When combined, these variants can identify marked differences in the absolute risk of developing breast cancer for mutation carriers, suggesting that additional modifier loci may further enhance individual risk assessment for BRCA1 and BRCA2 mutation carriers. Recently, a common variant on 6p22 (rs9393597) was found to be associated with increased breast cancer risk for BRCA2 mutation carriers [hazard ratio (HR) = 1.55, 95 % confidence interval (CI) 1.25-1.92, p = 6.0 × 10(-5)]. This observation was based on data from GWAS studies in which, despite statistical correction for multiple comparisons, the possibility of false discovery remains a concern. Here, we report on an analysis of this variant in an additional 6,165 BRCA1 and 3,900 BRCA2 mutation carriers from the Consortium of Investigators of Modifiers of BRCA1/2 (CIMBA). In this replication analysis, rs9393597 was not associated with breast cancer risk for BRCA2 mutation carriers (HR = 1.09, 95 % CI 0.96-1.24, p = 0.18). No association with ovarian cancer risk for BRCA1 or BRCA2 mutation carriers or with breast cancer risk for BRCA1 mutation carriers was observed. This follow-up study suggests that, contrary to our initial report, this variant is not associated with breast cancer risk among individuals with germline BRCA2 mutations.
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Affiliation(s)
- Kristen N Stevens
- Department of Health Sciences Research, Mayo Clinic, 200 First Street SW, Rochester, MN 55905, USA
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8
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Stevens KN, Lindstrom S, Scott CG, Thompson D, Sellers TA, Wang X, Wang A, Atkinson E, Rider DN, Eckel-Passow JE, Varghese JS, Audley T, Brown J, Leyland J, Luben RN, Warren RML, Loos RJF, Wareham NJ, Li J, Hall P, Liu J, Eriksson L, Czene K, Olson JE, Pankratz VS, Fredericksen Z, Diasio RB, Lee AM, Heit JA, DeAndrade M, Goode EL, Vierkant RA, Cunningham JM, Armasu SM, Weinshilboum R, Fridley BL, Batzler A, Ingle JN, Boyd NF, Paterson AD, Rommens J, Martin LJ, Hopper JL, Southey MC, Stone J, Apicella C, Kraft P, Hankinson SE, Hazra A, Hunter DJ, Easton DF, Couch FJ, Tamimi RM, Vachon CM. Identification of a novel percent mammographic density locus at 12q24. Hum Mol Genet 2012; 21:3299-305. [PMID: 22532574 DOI: 10.1093/hmg/dds158] [Citation(s) in RCA: 29] [Impact Index Per Article: 2.4] [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
Percent mammographic density adjusted for age and body mass index (BMI) is one of the strongest risk factors for breast cancer and has a heritable component that remains largely unidentified. We performed a three-stage genome-wide association study (GWAS) of percent mammographic density to identify novel genetic loci associated with this trait. In stage 1, we combined three GWASs of percent density comprised of 1241 women from studies at the Mayo Clinic and identified the top 48 loci (99 single nucleotide polymorphisms). We attempted replication of these loci in 7018 women from seven additional studies (stage 2). The meta-analysis of stage 1 and 2 data identified a novel locus, rs1265507 on 12q24, associated with percent density, adjusting for age and BMI (P = 4.43 × 10(-8)). We refined the 12q24 locus with 459 additional variants (stage 3) in a combined analysis of all three stages (n = 10 377) and confirmed that rs1265507 has the strongest association in the 12q24 region (P = 1.03 × 10(-8)). Rs1265507 is located between the genes TBX5 and TBX3, which are members of the phylogenetically conserved T-box gene family and encode transcription factors involved in developmental regulation. Understanding the mechanism underlying this association will provide insight into the genetics of breast tissue composition.
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Affiliation(s)
- Kristen N Stevens
- Department of Health Sciences Research, Mayo Clinic, Charlton 6-239, 200 First St. SW, Rochester, MN 55905, USA
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9
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Fasching PA, Pharoah PDP, Cox A, Nevanlinna H, Bojesen SE, Karn T, Broeks A, van Leeuwen FE, van't Veer LJ, Udo R, Dunning AM, Greco D, Aittomäki K, Blomqvist C, Shah M, Nordestgaard BG, Flyger H, Hopper JL, Southey MC, Apicella C, Garcia-Closas M, Sherman M, Lissowska J, Seynaeve C, Huijts PEA, Tollenaar RAEM, Ziogas A, Ekici AB, Rauh C, Mannermaa A, Kataja V, Kosma VM, Hartikainen JM, Andrulis IL, Ozcelik H, Mulligan AM, Glendon G, Hall P, Czene K, Liu J, Chang-Claude J, Wang-Gohrke S, Eilber U, Nickels S, Dörk T, Schiekel M, Bremer M, Park-Simon TW, Giles GG, Severi G, Baglietto L, Hooning MJ, Martens JWM, Jager A, Kriege M, Lindblom A, Margolin S, Couch FJ, Stevens KN, Olson JE, Kosel M, Cross SS, Balasubramanian SP, Reed MWR, Miron A, John EM, Winqvist R, Pylkäs K, Jukkola-Vuorinen A, Kauppila S, Burwinkel B, Marme F, Schneeweiss A, Sohn C, Chenevix-Trench G, Lambrechts D, Dieudonne AS, Hatse S, van Limbergen E, Benitez J, Milne RL, Zamora MP, Pérez JIA, Bonanni B, Peissel B, Loris B, Peterlongo P, Rajaraman P, Schonfeld SJ, Anton-Culver H, Devilee P, Beckmann MW, Slamon DJ, Phillips KA, Figueroa JD, Humphreys MK, Easton DF, Schmidt MK. The role of genetic breast cancer susceptibility variants as prognostic factors. Hum Mol Genet 2012; 21:3926-39. [PMID: 22532573 DOI: 10.1093/hmg/dds159] [Citation(s) in RCA: 68] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023] Open
Abstract
Recent genome-wide association studies identified 11 single nucleotide polymorphisms (SNPs) associated with breast cancer (BC) risk. We investigated these and 62 other SNPs for their prognostic relevance. Confirmed BC risk SNPs rs17468277 (CASP8), rs1982073 (TGFB1), rs2981582 (FGFR2), rs13281615 (8q24), rs3817198 (LSP1), rs889312 (MAP3K1), rs3803662 (TOX3), rs13387042 (2q35), rs4973768 (SLC4A7), rs6504950 (COX11) and rs10941679 (5p12) were genotyped for 25 853 BC patients with the available follow-up; 62 other SNPs, which have been suggested as BC risk SNPs by a GWAS or as candidate SNPs from individual studies, were genotyped for replication purposes in subsets of these patients. Cox proportional hazard models were used to test the association of these SNPs with overall survival (OS) and BC-specific survival (BCS). For the confirmed loci, we performed an accessory analysis of publicly available gene expression data and the prognosis in a different patient group. One of the 11 SNPs, rs3803662 (TOX3) and none of the 62 candidate/GWAS SNPs were associated with OS and/or BCS at P<0.01. The genotypic-specific survival for rs3803662 suggested a recessive mode of action [hazard ratio (HR) of rare homozygous carriers=1.21; 95% CI: 1.09-1.35, P=0.0002 and HR=1.29; 95% CI: 1.12-1.47, P=0.0003 for OS and BCS, respectively]. This association was seen similarly in all analyzed tumor subgroups defined by nodal status, tumor size, grade and estrogen receptor. Breast tumor expression of these genes was not associated with prognosis. With the exception of rs3803662 (TOX3), there was no evidence that any of the SNPs associated with BC susceptibility were associated with the BC survival. Survival may be influenced by a distinct set of germline variants from those influencing susceptibility.
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Affiliation(s)
- Peter A Fasching
- University Breast Center, Department of Gynecology and Obstetrics, University Hospital Erlangen, Comprehensive Cancer Center Erlangen Nuremberg, Friedrich-Alexander University Erlangen-Nuremberg, Erlangen, Germany.
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Stevens KN, Fredericksen Z, Vachon CM, Wang X, Margolin S, Lindblom A, Nevanlinna H, Greco D, Aittomäki K, Blomqvist C, Chang-Claude J, Vrieling A, Flesch-Janys D, Sinn HP, Wang-Gohrke S, Nickels S, Brauch H, Ko YD, Fischer HP, Schmutzler RK, Meindl A, Bartram CR, Schott S, Engel C, Godwin AK, Weaver J, Pathak HB, Sharma P, Brenner H, Müller H, Arndt V, Stegmaier C, Miron P, Yannoukakos D, Stavropoulou A, Fountzilas G, Gogas HJ, Swann R, Dwek M, Perkins A, Milne RL, Benítez J, Zamora MP, Pérez JIA, Bojesen SE, Nielsen SF, Nordestgaard BG, Flyger H, Guénel P, Truong T, Menegaux F, Cordina-Duverger E, Burwinkel B, Marmé F, Schneeweiss A, Sohn C, Sawyer E, Tomlinson I, Kerin MJ, Peto J, Johnson N, Fletcher O, Dos Santos Silva I, Fasching PA, Beckmann MW, Hartmann A, Ekici AB, Lophatananon A, Muir K, Puttawibul P, Wiangnon S, Schmidt MK, Broeks A, Braaf LM, Rosenberg EH, Hopper JL, Apicella C, Park DJ, Southey MC, Swerdlow AJ, Ashworth A, Orr N, Schoemaker MJ, Anton-Culver H, Ziogas A, Bernstein L, Dur CC, Shen CY, Yu JC, Hsu HM, Hsiung CN, Hamann U, Dünnebier T, Rüdiger T, Ulmer HU, Pharoah PP, Dunning AM, Humphreys MK, Wang Q, Cox A, Cross SS, Reed MW, Hall P, Czene K, Ambrosone CB, Ademuyiwa F, Hwang H, Eccles DM, Garcia-Closas M, Figueroa JD, Sherman ME, Lissowska J, Devilee P, Seynaeve C, Tollenaar RAEM, Hooning MJ, Andrulis IL, Knight JA, Glendon G, Mulligan AM, Winqvist R, Pylkäs K, Jukkola-Vuorinen A, Grip M, John EM, Miron A, Alnæs GG, Kristensen V, Børresen-Dale AL, Giles GG, Baglietto L, McLean CA, Severi G, Kosel ML, Pankratz VS, Slager S, Olson JE, Radice P, Peterlongo P, Manoukian S, Barile M, Lambrechts D, Hatse S, Dieudonne AS, Christiaens MR, Chenevix-Trench G, Beesley J, Chen X, Mannermaa A, Kosma VM, Hartikainen JM, Soini Y, Easton DF, Couch FJ. 19p13.1 is a triple-negative-specific breast cancer susceptibility locus. Cancer Res 2012; 72:1795-803. [PMID: 22331459 DOI: 10.1158/0008-5472.can-11-3364] [Citation(s) in RCA: 80] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
The 19p13.1 breast cancer susceptibility locus is a modifier of breast cancer risk in BRCA1 mutation carriers and is also associated with the risk of ovarian cancer. Here, we investigated 19p13.1 variation and risk of breast cancer subtypes, defined by estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor receptor-2 (HER2) status, using 48,869 breast cancer cases and 49,787 controls from the Breast Cancer Association Consortium (BCAC). Variants from 19p13.1 were not associated with breast cancer overall or with ER-positive breast cancer but were significantly associated with ER-negative breast cancer risk [rs8170 OR, 1.10; 95% confidence interval (CI), 1.05-1.15; P = 3.49 × 10(-5)] and triple-negative (ER-, PR-, and HER2-negative) breast cancer (rs8170: OR, 1.22; 95% CI, 1.13-1.31; P = 2.22 × 10(-7)). However, rs8170 was no longer associated with ER-negative breast cancer risk when triple-negative cases were excluded (OR, 0.98; 95% CI, 0.89-1.07; P = 0.62). In addition, a combined analysis of triple-negative cases from BCAC and the Triple Negative Breast Cancer Consortium (TNBCC; N = 3,566) identified a genome-wide significant association between rs8170 and triple-negative breast cancer risk (OR, 1.25; 95% CI, 1.18-1.33; P = 3.31 × 10(-13)]. Thus, 19p13.1 is the first triple-negative-specific breast cancer risk locus and the first locus specific to a histologic subtype defined by ER, PR, and HER2 to be identified. These findings provide convincing evidence that genetic susceptibility to breast cancer varies by tumor subtype and that triple-negative tumors and other subtypes likely arise through distinct etiologic pathways.
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Affiliation(s)
- Kristen N Stevens
- Departments of Health Sciences Research and Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota 55905, USA
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Stevens KN, Kelemen LE, Wang X, Fridley BL, Vierkant RA, Fredericksen Z, Armasu SM, Tsai YY, Berchuck A, Narod SA, Phelan CM, Sutphen R, Birrer MJ, Schildkraut JM, Sellers TA, Goode EL, Couch FJ. Common variation in Nemo-like kinase is associated with risk of ovarian cancer. Cancer Epidemiol Biomarkers Prev 2012; 21:523-8. [PMID: 22253297 DOI: 10.1158/1055-9965.epi-11-0797] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.7] [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] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Overexpression of mitotic kinases has been associated with prognosis, histologic grade, and clinical stage in ovarian cancer, but the relationship between inherited variation in these genes and ovarian cancer risk has not been well defined. METHODS We measured associations between 397 single nucleotide polymorphisms (SNPs) from 67 mitotic kinases and invasive epithelial ovarian cancer risk in two case-control studies (n = 671 cases; n = 939 controls). Thirty-six candidate SNPs (P < 0.05) were assessed in a replication analysis consisting of three additional studies (n = 1,094 cases; n = 829 controls). RESULTS In initial analysis, thirty-six SNPs were suggestive of association with risk of serous ovarian cancer, all subtypes of ovarian cancer, or both (P < 0.05). Replication analyses suggested an association between rs2125846 in the Nemo-like kinase (NLK) gene and ovarian cancer (serous OR = 1.36, 95% CI: 1.11-1.67, P = 1.77 × 10(-3); all subtypes OR = 1.30, 95% CI: 1.08-1.56, P = 2.97 × 10(-3)). Furthermore, rs2125846 was associated with risk in the combined discovery and replication sets (serous OR = 1.33, 95% CI: 1.15-1.54; all subtypes OR = 1.27, 95% CI: 1.12-1.45). CONCLUSIONS Variation in NLK may be associated with risk of invasive epithelial ovarian cancer. Further studies are needed to confirm and understand the biologic relationship between this mitotic kinase and ovarian cancer risk. IMPACT An association between SNPs in NLK and ovarian cancer may provide biologic insight into the development of this disease.
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Affiliation(s)
- Kristen N Stevens
- Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota 55905, USA
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Vachon CM, Li J, Scott CG, Hall P, Czene K, Wang X, Liu J, Fredericksen ZS, Rider DN, Wu FF, Olson JE, Cunningham JM, Stevens KN, Sellers TA, Pankratz SV, Couch FJ. No evidence for association of inherited variation in genes involved in mitosis and percent mammographic density. Breast Cancer Res 2012; 14:R7. [PMID: 22226020 PMCID: PMC3496122 DOI: 10.1186/bcr3088] [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] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2011] [Revised: 12/01/2011] [Accepted: 01/07/2012] [Indexed: 01/18/2023] Open
Abstract
Introduction Increased mammographic breast density is one of the strongest risk factors for breast cancer. While two-thirds of the variation in mammographic density appears to be genetically influenced, few variants have been identified. We examined the association of inherited variation in genes from pathways that mediate cell division with percent mammographic density (PMD) adjusted for age, body mass index (BMI) and postmenopausal hormones, in two studies of healthy postmenopausal women. Methods We investigated 2,058 single nucleotide polymorphisms (SNPs) in 378 genes involved in regulation of mitosis for associations with adjusted PMD among 484 unaffected postmenopausal controls (without breast cancer) from the Mayo Clinic Breast Cancer Study (MCBCS) and replicated the findings in postmenopausal controls (n = 726) from the Singapore and Sweden Breast Cancer Study (SASBAC) study. PMD was assessed in both studies by a computer-thresholding method (Cumulus) and linear regression approaches were used to assess the association of SNPs and PMD, adjusted for age, BMI and postmenopausal hormones. A P-value threshold of 4.2 × 10-5 based on a Bonferroni correction of effective number of independent tests was used for statistical significance. Further, a pathway-level analysis was conducted of all 378 genes using the self-contained gene-set analysis method GLOSSI. Results A variant in PRPF4, rs10733604, was significantly associated with adjusted PMD in the MCBCS (P = 2.7 × 10-7), otherwise, no single SNP was associated with PMD. Additionally, the pathway analysis provided no evidence of enrichment in the number of associations observed between SNPs in the mitotic genes and PMD (P = 0.60). We evaluated rs10733604 (PRPF4), and 73 other SNPs at P < 0.05 from 51 genes in the SASBAC study. There was no evidence of an association of rs10733604 (PRPF4) with adjusted PMD in SASBAC (P = 0.23). There were, however, consistent associations (P < 0.05) of variants at the putative locus, LOC375190, Aurora B kinase (AURKB), and Mini-chromosome maintenance complex component 3 (MCM3) with adjusted PMD, although these were not statistically significant. Conclusions Our findings do not support a role of inherited variation in genes involved in regulation of cell division and adjusted percent mammographic density in postmenopausal women.
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Affiliation(s)
- Celine M Vachon
- Department of Health Sciences Research, Mayo Clinic College of Medicine, Rochester, MN 55905, USA.
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Stevens KN, Vachon CM, Lee AM, Slager S, Lesnick T, Olswold C, Fasching PA, Miron P, Eccles D, Carpenter JE, Godwin AK, Ambrosone C, Winqvist R, Schmidt MK, Cox A, Cross SS, Sawyer E, Hartmann A, Beckmann MW, Schulz-Wendtland R, Ekici AB, Tapper WJ, Gerty SM, Durcan L, Graham N, Hein R, Nickels S, Flesch-Janys D, Heinz J, Sinn HP, Konstantopoulou I, Fostira F, Pectasides D, Dimopoulos AM, Fountzilas G, Clarke CL, Balleine R, Olson JE, Fredericksen Z, Diasio RB, Pathak H, Ross E, Weaver J, Rüdiger T, Försti A, Dünnebier T, Ademuyiwa F, Kulkarni S, Pylkäs K, Jukkola-Vuorinen A, Ko YD, Van Limbergen E, Janssen H, Peto J, Fletcher O, Giles GG, Baglietto L, Verhoef S, Tomlinson I, Kosma VM, Beesley J, Greco D, Blomqvist C, Irwanto A, Liu J, Blows FM, Dawson SJ, Margolin S, Mannermaa A, Martin NG, Montgomery GW, Lambrechts D, dos Santos Silva I, Severi G, Hamann U, Pharoah P, Easton DF, Chang-Claude J, Yannoukakos D, Nevanlinna H, Wang X, Couch FJ. Common breast cancer susceptibility loci are associated with triple-negative breast cancer. Cancer Res 2011; 71:6240-9. [PMID: 21844186 PMCID: PMC3327299 DOI: 10.1158/0008-5472.can-11-1266] [Citation(s) in RCA: 96] [Impact Index Per Article: 7.4] [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] [Indexed: 11/16/2022]
Abstract
Triple-negative breast cancers are an aggressive subtype of breast cancer with poor survival, but there remains little known about the etiologic factors that promote its initiation and development. Commonly inherited breast cancer risk factors identified through genome-wide association studies display heterogeneity of effect among breast cancer subtypes as defined by the status of estrogen and progesterone receptors. In the Triple Negative Breast Cancer Consortium (TNBCC), 22 common breast cancer susceptibility variants were investigated in 2,980 Caucasian women with triple-negative breast cancer and 4,978 healthy controls. We identified six single-nucleotide polymorphisms, including rs2046210 (ESR1), rs12662670 (ESR1), rs3803662 (TOX3), rs999737 (RAD51L1), rs8170 (19p13.1), and rs8100241 (19p13.1), significantly associated with the risk of triple-negative breast cancer. Together, our results provide convincing evidence of genetic susceptibility for triple-negative breast cancer.
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Affiliation(s)
| | - Celine M. Vachon
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - Adam M. Lee
- Department of Pharmacology, Mayo Clinic, Rochester, MN, USA
| | - Susan Slager
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - Timothy Lesnick
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - Curtis Olswold
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - Peter A. Fasching
- University of California at Los Angeles, David Geffen School of Medicine, Department of Medicine, Division of hematology and Oncology, Los Angeles, CA, USA
| | | | - Diana Eccles
- University of Southampton, Faculty of Medicine, Southampton University Hospitals NHS Trust, Southampton UK
| | - Jane E. Carpenter
- Australian Breast Cancer Tissue Bank, University of Sydney at the Westmead Millennium Institute, Westmead, NSW, Australia
| | - Andrew K. Godwin
- Department of Pathology and Laboratory Medicine, Kansas University Medical Center, Lawrence, KS, USA
| | - Christine Ambrosone
- Department of Cancer Prevention and Control, Roswell Park Cancer Institute, Buffalo, NY, USA
| | - Robert Winqvist
- Laboratory of Cancer Genetics, Department of Clinical Genetics and Biocenter Oulu, University of Oulu, Oulu University Hospital, Oulu, Finland
| | - Hiltrud Brauch on behalf of the GENICA consortium
- Dr. Margarete Fischer-Bosch-Institute of Clinical Pharmacology, Stuttgart, and University Tübingen,Germany
- Gene Environment Interaction and Breast Cancer in Germany (GENICA): Dr. Margarete Fischer-Bosch-Institute of Clinical Pharmacology, Stuttgart, and University Tübingen, Germany (HB, Christina Justenhoven); Molecular Genetics of Breast Cancer, Deutsches Krebsforschungszentrum (DKFZ), Heidelberg, Germany (Ute Hamann); Department of Internal Medicine, Evangelische Kliniken Bonn gGmbH, Johanniter Krankenhaus, Bonn, Germany (YDK, Christian Baisch); Institute of Pathology, Medical Faculty of the University of Bonn, Germany (Hans-Peter Fischer); Institute for Prevention and Occupational Medicine of the German Social Accident Insurance (IPA), Bochum, Germany (Thomas Bruening, Beate Pesch, Volker Harth, Sylvia Rabstein)
| | - Marjanka K. Schmidt
- Division of Experimental Therapy and Molecular Pathology and Division of Epidemiology (MKS), Netherlands Cancer Institute – Antoni van Leeuwenhoek Hospital, Amsterdam, The Netherlands
| | - Angela Cox
- Institute for Cancer Studies, Department of Oncology , Faculty of Medicine, Dentistry & Health, University of Sheffield, UK
| | - Simon S. Cross
- Academic Unit of Pathology, Department of Neuroscience, Faculty of Medicine, Dentistry & Health, University of Sheffield, UK
| | - Elinor Sawyer
- National Institute for Health Research (NIHR) Comprehensive Biomedical Research Centre, Guy's & St. Thomas’ NHS Foundation Trust, London, UK
| | - Arndt Hartmann
- Friedrich-Alexander University Erlangen-Nuremberg, Institute of Pathology, University Hospital Erlangen, Erlangen, Germany
| | - Matthias W. Beckmann
- Friedrich-Alexander University Erlangen-Nuremberg , University Hospital Erlangen, University Breast Center Franconia, Department of Gynecology and Obstetrics, Erlangen, Germany
| | - Rüdiger Schulz-Wendtland
- Friedrich-Alexander University Erlangen-Nuremberg, Institute of Diagnostic Radiology, University Hospital Erlangen, Erlangen, Germany
| | - Arif B. Ekici
- Friedrich-Alexander University Erlangen-Nuremberg, Institute of Human Genetics, Erlangen, Germany
| | - William J Tapper
- University of Southampton, Faculty of Medicine, Southampton University Hospitals NHS Trust, Southampton UK
| | - Susan M Gerty
- University of Southampton, Faculty of Medicine, Southampton University Hospitals NHS Trust, Southampton UK
| | - Lorraine Durcan
- University of Southampton, Faculty of Medicine, Southampton University Hospitals NHS Trust, Southampton UK
| | - Nikki Graham
- University of Southampton, Faculty of Medicine, Southampton University Hospitals NHS Trust, Southampton UK
| | - Rebecca Hein
- Division of Cancer Epidemiology, German Cancer Research Center, Heidelberg, Germany
| | - Stephan Nickels
- Division of Cancer Epidemiology, German Cancer Research Center, Heidelberg, Germany
| | - Dieter Flesch-Janys
- Institute for Medical Biometrics and Epidemiology, University Clinic Hamburg-Eppendorf, Hamburg, Germany
| | - Judith Heinz
- Institute for Medical Biometrics and Epidemiology, University Clinic Hamburg-Eppendorf, Hamburg, Germany
| | - Hans-Peter Sinn
- Department of Pathology, University Hospital Heidelberg, Heidelberg, Germany
| | - Irene Konstantopoulou
- Molecular Diagnostics Laboratory IRRP, National Centre for Scientific Research “Demokritos”, Athens, Greece
| | - Florentia Fostira
- Molecular Diagnostics Laboratory IRRP, National Centre for Scientific Research “Demokritos”, Athens, Greece
| | - Dimitrios Pectasides
- Department of Internal Medicine, Oncology Section, “Hippokration” Hospital; Athens, Greece
| | - Athanasios M. Dimopoulos
- Department of Clinical Therapeutics, “Alexandra” Hospital, University of Athens School of Medicine, Athens, Greece
| | - George Fountzilas
- Department of Medical Oncology, Aristotle University of Thessaloniki, Papageorgiou Hospital, Thessaloniki, Greece
| | - Christine L. Clarke
- Australian Breast Cancer Tissue Bank, University of Sydney at the Westmead Millennium Institute, Westmead, NSW, Australia
| | - Rosemary Balleine
- Dept of Translational Oncology, Westmead Hospital, Western Sydney Local Health Network, Westmead, NSW, Australia
| | - Janet E. Olson
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | | | | | - Harsh Pathak
- Department of Medical Oncology, Fox Chase Cancer Center, Philadelphia, PA, USA
| | - Eric Ross
- Department of Biostatistics, Fox Chase Cancer Center, Philadelphia, PA, USA
| | - JoEllen Weaver
- Department of Medical Oncology, Fox Chase Cancer Center, Philadelphia, PA, USA
| | - Thomas Rüdiger
- Institute of Pathology, Städtisches Klinikum Karlsruhe, Karlsruhe, Germany
| | - Asta Försti
- Division of Molecular Genetic Epidemiology, Deutsches Krebsforschungszentrum (DKFZ), Heidelberg, Germany and Center for Primary Health Care Research, University of Lund, Malmö, Sweden
| | - Thomas Dünnebier
- Molecular Genetics of Breast Cancer, Deutsches Krebsforschungszentrum (DKFZ), Heidelberg, Germany
| | - Foluso Ademuyiwa
- Department of Medicine, Roswell Park Cancer Institute, Buffalo, NY, USA
| | - Swati Kulkarni
- Dept of Surgical Oncology, Roswell Park Cancer Institute, Buffalo, NY, USA
| | - Katri Pylkäs
- Laboratory of Cancer Genetics, Department of Clinical Genetics and Biocenter Oulu, University of Oulu, Oulu University Hospital, Oulu, Finland
| | | | - Yon-Dschun Ko
- Department of Internal Medicine, Evangelische Kliniken Johanniter- und Waldkrankenhaus Bonn gGmbH, Bonn, Germany
| | - Erik Van Limbergen
- Multidisciplinary Breast Center, University Hospital Gasthuisberg, Leuven, Belgium
| | - Hilde Janssen
- Multidisciplinary Breast Center, University Hospital Gasthuisberg, Leuven, Belgium
| | - Julian Peto
- Department of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, UK
| | - Olivia Fletcher
- Breakthrough Breast Cancer Research Centre, The Institute of Cancer Research, London, UK
| | - Graham G. Giles
- Cancer Epidemiology Centre, The Cancer Council Victoria, Melbourne, Australia & Centre for Molecular, Environmental, Genetic, and Analytic Epidemiology, The University of Melbourne, Australia
| | - Laura Baglietto
- Cancer Epidemiology Centre, The Cancer Council Victoria, Melbourne, Australia & Centre for Molecular, Environmental, Genetic, and Analytic Epidemiology, The University of Melbourne, Australia
| | - Senno Verhoef
- Family Cancer Clinic (SV), Netherlands Cancer Institute – Antoni van Leeuwenhoek Hospital, Amsterdam, The Netherlands
| | - Ian Tomlinson
- Wellcome Trust Centre for Human Genetics and Oxford Comprehensive Biomedical Research Centre, University of Oxford, Roosevelt Drive, Oxford OX3 7BN, UK
| | - Veli-Matti Kosma
- Institute of Clinical Medicine, Department of Pathology, University of Eastern Finland and Kuopio University Hospital; Biocenter Kuopio, Kuopio, Finland
| | - Jonathan Beesley
- Genetics and Population Health Division, Queensland Institute of Medical Research, Brisbane, Australia
| | - Dario Greco
- Department of Obstetrics and Gynecology, Helsinki University Central Hospital, , Helsinki, Finland
| | - Carl Blomqvist
- Department of Oncology, Helsinki University Central Hospital, Helsinki, Finland
| | - Astrid Irwanto
- Human Genetics Division, Genome Institute of Singapore, Singapore
| | - Jianjun Liu
- Human Genetics Division, Genome Institute of Singapore, Singapore
| | - Fiona M. Blows
- Department of Oncology and Department of Public Health and Primary Care University of Cambridge, Cambridge, UK
| | - Sarah-Jane Dawson
- Department of Oncology and Department of Public Health and Primary Care University of Cambridge, Cambridge, UK
| | - Sara Margolin
- Department of Clinical Genetics, Karolinska University Hospital, Stockholm, Sweden
| | - Arto Mannermaa
- Institute of Clinical Medicine, Department of Pathology, University of Eastern Finland and Kuopio University Hospital; Biocenter Kuopio, Kuopio, Finland
| | - Nicholas G. Martin
- QIMR GWAS Collective, Queensland Institute of Medical Research, Brisbane, Australia
| | - Grant W Montgomery
- QIMR GWAS Collective, Queensland Institute of Medical Research, Brisbane, Australia
| | - Diether Lambrechts
- Vesalius Research Center, VIB, Leuven, Belgium
- Vesalius Research Center, University of Leuven, Leuven, Belgium
| | - Isabel dos Santos Silva
- Department of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, UK
| | - Gianluca Severi
- Cancer Epidemiology Centre, The Cancer Council Victoria, Melbourne, Australia & Centre for Molecular, Environmental, Genetic, and Analytic Epidemiology, The University of Melbourne, Australia
| | - Ute Hamann
- Division of Molecular Genetic Epidemiology, Deutsches Krebsforschungszentrum (DKFZ), Heidelberg, Germany and Center for Primary Health Care Research, University of Lund, Malmö, Sweden
| | - Paul Pharoah
- Department of Oncology and Department of Public Health and Primary Care University of Cambridge, Cambridge, UK
| | - Douglas F. Easton
- Department of Genetic Epidemiology, Cancer Research UK Genetic Epidemiology Unit, Strangeways Research Laboratory, Cambridge, UK
| | - Jenny Chang-Claude
- Friedrich-Alexander University Erlangen-Nuremberg, Institute of Human Genetics, Erlangen, Germany
| | | | - Heli Nevanlinna
- Department of Obstetrics and Gynecology, Helsinki University Central Hospital, , Helsinki, Finland
| | - Xianshu Wang
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
| | - Fergus J. Couch
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
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14
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Seguí N, Stevens KN, Guinó E, Rozek LS, Moreno VR, Capellá G, Gruber SB, Valle L. No association between germline allele-specific expression of TGFBR1 and colorectal cancer risk in Caucasian and Ashkenazi populations. Br J Cancer 2011; 104:735-40. [PMID: 21224855 PMCID: PMC3049588 DOI: 10.1038/sj.bjc.6606079] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.6] [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] [Indexed: 11/22/2022] Open
Abstract
Background: Germline allele-specific expression (ASE) of the TGFBR1 gene has been reported as a strong risk factor for colorectal cancer (CRC) with an odds ratio close to 9. Considering the potential implications of the finding, we undertook the task of validating the initial results in this study. Methods: Allele-specific expression was measured using the highly quantitative and robust technique of pyrosequencing. Individuals from two different populations were studied, one Caucasian-dominated and the other of Ashkenazi Jewish descent, with different sources of non-tumoral genetic material in each. Results: Our results showed no statistically significant differences in the degree of ASE between CRC patients and controls, considering ASE as either a quantitative or a binary trait. Using defined cutoff values to categorise ASE, 1.0% of blood lymphocytes from informative Israeli cases (total n=96) were ASE positive (median 1.00; range 0.76–1.31) and 2.2% of informative matched controls (total n=90) were ASE positive (median 1.00; range 0.76–1.87). Likewise, normal mucosae from Spanish patients (median 1.03; range: 0.68–1.43; n=75) did not show significant differences in the degree of ASE when compared with the Israeli patients or controls. Conclusions: Taken together, these results suggest that ASE of TGFBR1 does not confer an increased risk of CRC.
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Affiliation(s)
- N Seguí
- Translational Research Laboratory, Catalan Institute of Oncology, IDIBELL, Hospitalet de Llobregat, Av. Gran Vía 199-203, Barcelona 08908, Spain
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15
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Castellsagué E, González S, Guinó E, Stevens KN, Borràs E, Raymond VM, Lázaro C, Blanco I, Gruber SB, Capellá G. Allele-specific expression of APC in adenomatous polyposis families. Gastroenterology 2010; 139:439-47, 447.e1. [PMID: 20434453 PMCID: PMC2910837 DOI: 10.1053/j.gastro.2010.04.047] [Citation(s) in RCA: 27] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/01/2009] [Revised: 03/24/2010] [Accepted: 04/21/2010] [Indexed: 12/02/2022]
Abstract
BACKGROUND & AIMS Germline mutations in the APC gene cause of most cases of familial adenomatous polyposis (FAP) and a lesser proportion of attenuated FAP (AFAP). Systematic analysis of APC at the RNA level could provide insight into the pathogenicity of identified mutations and the molecular basis of FAP/AFAP in families without identifiable mutations. Here, we analyzed the prevalence of imbalances in the allelic expression of APC in polyposis families with germline mutations in the gene and without detectable mutations in APC and/or MUTYH. METHODS Allele-specific expression (ASE) was determined by single nucleotide primer extension using an exon 11 polymorphism as an allele-specific marker. In total, 52 APC-mutation-positive (36 families) and 24 APC/MUTYH-mutation-negative (23 families) informative patients were analyzed. Seventy-six controls also were included. RESULTS Of the APC-mutation-positive families, most of those in whom the mutation was located before the last exon of the gene (12 of 14) had ASE imbalance, which is consistent with a mechanism of nonsense-mediated decay. Of the APC/MUTYH-mutation-negative families, 2 (9%) had ASE imbalance, which might cause the disease. Normal allele expression was restored shortly after lymphocytes were cultured with puromycin, supporting a 'nonsense-mediated' hypothesis. CONCLUSIONS ASE analysis might be used to determine the pathogenesis of some cases of FAP and AFAP in which APC mutations are not found. ASE also might be used to prioritize the order in which different areas of APC are tested. RNA-level studies are important for the molecular diagnosis of FAP.
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Affiliation(s)
- Ester Castellsagué
- Translational Research Laboratory, IDIBELL-Institut Català d’Oncologia, Barcelona 08907, Spain
| | - Sara González
- Translational Research Laboratory, IDIBELL-Institut Català d’Oncologia, Barcelona 08907, Spain
| | - Elisabet Guinó
- Bioinformatics and Biostatistics Unit, Department of Epidemiology, IDIBELL-Institut Català d’Oncologia, Barcelona 08907, Spain
| | - Kristen N. Stevens
- Department of Epidemiology, University of Michigan, Ann Arbor MI 48109, Michigan, USA
| | - Ester Borràs
- Translational Research Laboratory, IDIBELL-Institut Català d’Oncologia, Barcelona 08907, Spain
| | - Victoria M. Raymond
- Department of Internal Medicine, University of Michigan Medical School, Ann Arbor MI 48109, Michigan, USA
| | - Conxi Lázaro
- Translational Research Laboratory, IDIBELL-Institut Català d’Oncologia, Barcelona 08907, Spain
| | - Ignacio Blanco
- Cancer Genetic Counseling Program, IDIBELL-Institut Català d’Oncologia, Barcelona, Spain
| | - Stephen B. Gruber
- Department of Internal Medicine, Epidemiology, and Human Genetics, Division of Molecular Medicine and Genetics, University of Michigan, Ann Arbor MI 48109, Michigan, USA
| | - Gabriel Capellá
- Translational Research Laboratory, IDIBELL-Institut Català d’Oncologia, Barcelona 08907, Spain
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16
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Pujana MA, Han JDJ, Starita LM, Stevens KN, Tewari M, Ahn JS, Rennert G, Moreno V, Kirchhoff T, Gold B, Assmann V, Elshamy WM, Rual JF, Levine D, Rozek LS, Gelman RS, Gunsalus KC, Greenberg RA, Sobhian B, Bertin N, Venkatesan K, Ayivi-Guedehoussou N, Solé X, Hernández P, Lázaro C, Nathanson KL, Weber BL, Cusick ME, Hill DE, Offit K, Livingston DM, Gruber SB, Parvin JD, Vidal M. Network modeling links breast cancer susceptibility and centrosome dysfunction. Nat Genet 2007; 39:1338-49. [PMID: 17922014 DOI: 10.1038/ng.2007.2] [Citation(s) in RCA: 499] [Impact Index Per Article: 29.4] [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: 03/31/2007] [Accepted: 08/02/2007] [Indexed: 12/29/2022]
Abstract
Many cancer-associated genes remain to be identified to clarify the underlying molecular mechanisms of cancer susceptibility and progression. Better understanding is also required of how mutations in cancer genes affect their products in the context of complex cellular networks. Here we have used a network modeling strategy to identify genes potentially associated with higher risk of breast cancer. Starting with four known genes encoding tumor suppressors of breast cancer, we combined gene expression profiling with functional genomic and proteomic (or 'omic') data from various species to generate a network containing 118 genes linked by 866 potential functional associations. This network shows higher connectivity than expected by chance, suggesting that its components function in biologically related pathways. One of the components of the network is HMMR, encoding a centrosome subunit, for which we demonstrate previously unknown functional associations with the breast cancer-associated gene BRCA1. Two case-control studies of incident breast cancer indicate that the HMMR locus is associated with higher risk of breast cancer in humans. Our network modeling strategy should be useful for the discovery of additional cancer-associated genes.
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Affiliation(s)
- Miguel Angel Pujana
- Center for Cancer Systems Biology (CCSB), Dana-Farber Cancer Institute and Department of Genetics, Harvard Medical School, 44 Binney St., Boston, Massachusetts 02115, USA
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Abstract
This paper reports on measurements of several acoustic attributes of the fricative consonant /s/ produced in word-initial position by normally speaking adults and by speakers with neuromotor dysfunctions. Several acoustic properties are evaluated: the spectrum shape of the fricative and its amplitude in relation to the following vowel, the presence or absence of voicing, the time variation of the spectrum during the fricative and in the transition to the following vowel, and the presence of inappropriate acoustic patterns preceding the /s/. Some of these properties are based on quantitative measurements of the spectrum of the /s/, and others are based on observations of the time-varying acoustic patterns in spectrograms. For the individuals with dysarthria, deviations of each of these properties from the normal range are interpreted in terms of specific deficits in the control of the speech-production system. For the most part, these parameters are highly correlated with the speakers' overall intelligibility, with the intelligibility of words containing the fricative /s/, and with perceptual ratings of the adequacy of the fricative production. The parameters that show the best correlation with intelligibility and perceptual ratings are (a) measures of deviations from normalcy in the time variation of the acoustic pattern within the consonant and at the consonant-vowel boundary and (b) the spectrum shape of the frication noise. These acoustic parameters are related to deviations in the temporal pattern of control of the articulators in producing fricative-vowel sequences and to lack of fine control of the tongue blade in achieving an appropriate target configuration for the fricative.
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Affiliation(s)
- H Chen
- Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge 02139-4307, USA
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18
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Abstract
The consonantal segments that underlie an utterance are manifested in the acoustic signal by abrupt discontinuities or dislocations in the spectral pattern. There are potentially two such discontinuities for each consonant, corresponding to the formation and release of a constriction in the oral cavity by the lips, the tongue blade, or the tongue body. Acoustic cues for the various consonant features of place, voicing and nasality reside in the signal in quite different forms on the two sides of each acoustic discontinuity. Examples of these diverse cues and their origin in acoustic theory are reviewed, with special attention to place features and features related to the laryngeal state and to nasalization. A listener appears to have the ability to integrate these diverse, brief acoustic cues for the features of consonants, although the mechanism for this integration process is unclear.
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Affiliation(s)
- K N Stevens
- Research Laboratory of Electronics and Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge 02139-4307, USA.
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Svirsky MA, Stevens KN, Matthies ML, Manzella J, Perkell JS, Wilhelms-Tricarico R. Tongue surface displacement during bilabial stops. J Acoust Soc Am 1997; 102:562-571. [PMID: 9228817 DOI: 10.1121/1.419729] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/22/2023]
Abstract
The goals of this study were to characterize tongue surface displacement during production of bilabial stops and to refine current estimates of vocal-tract wall impedance using direct measurements of displacement in the vocal tract during closure. In addition, evidence was obtained to test the competing claims of passive and active enlargement of the vocal tract during voicing. Tongue displacement was measured and tongue compliance was estimated in four subjects during production of /aba/ and /apa/. All subjects showed more tongue displacement during /aba/ than during /apa/, even though peak intraoral pressure is lower for /aba/. In consequence, compliance estimates were much higher for /aba/, ranging from 5.1 to 8.5 x 10(-5) cm3/dyn. Compliance values for /apa/ ranged from 0.8 to 2.3 x 10(-5) cm3/dyn for the tongue body, and 0.52 x 10(-5) for the single tongue tip point that was measured. From combined analyses of tongue displacement and intraoral pressure waveforms for one subject, it was concluded that smaller tongue displacements for /p/ than for /b/ may be due to active stiffening of the tongue during /p/, or to intentional relaxation of tongue muscles during /b/ (in conjunction with active tongue displacement during /b/).
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Affiliation(s)
- M A Svirsky
- Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge 02139, USA
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Abstract
These remarks are in response to "Role of articulation in speech perception: Clues from production"ony Björn Lindblom. It is suggested that the form in which the lexicon is stored includes both segments and distinctive features, and this representation is neutral with respect to articulatory and the acoustic domains. The process by which features are determined from the sound requires that patterns of acoustic properties be identified. In developing models of speech perception, knowledge of articulatory-acoustic relations can be a guide in defining these properties, but it is not necessary for the models to assign primary status to articulation.
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Affiliation(s)
- K N Stevens
- Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge 02139, USA
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21
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Abstract
Linguistic experience affects phonetic perception. However, the critical period during which experience affects perception and the mechanism responsible for these effects are unknown. This study of 6-month-old infants from two countries, the United States and Sweden, shows that exposure to a specific language in the first half year of life alters infants' phonetic perception.
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Affiliation(s)
- P K Kuhl
- Department of Speech and Hearing Sciences, University of Washington, Seattle 98195
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22
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Abstract
The amplitude of sound transmission from the mouth to a site overlying the extrathoracic trachea and two sites on the right posterior chest wall over the 100-600 Hz frequency range was measured in eight healthy adult subjects. An acoustic driver and a rigid tube were employed to introduce sound into the mouths of the subjects at resting lung volume, and the transmission measurements were performed using lightweight accelerometers. Similar spectral characteristics of acceleration were observed in all of the subjects showing peaks in the transmission. These characteristics included 1) two regions of increased transmission over the frequency range of the measurements, 2) a decrease in the magnitude of acceleration of the chest wall as compared to the tracheal site of roughly 20 dB at lower frequencies, 3) a strong trend of decreasing acceleration of the chest wall with increasing frequency. These spectra agreed favorably with the predictions of a theoretical model of the acoustical properties of the respiratory system. The model suggests the primary structural determinants of a number of the observed characteristics including the importance of the lung parenchyma in sound attenuation.
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Affiliation(s)
- G R Wodicka
- School of Electrical Engineering, Purdue University, West Lafayette, IN 47907
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23
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Abstract
A theoretical model of sound transmission from within the respiratory tract to the chest wall due to the motion of the walls of the large airways was developed. The vocal tract, trachea, and the first five bronchial generations are represented over the frequency range from 100 to 600 Hz by an equivalent acoustic circuit. This circuit allows the estimation of the magnitude of airway wall motion in response to an acoustic perturbation at the mouth. The radiation of sound through the surrounding lung parenchyma is represented as a cylindrical wave in a homogeneous mixture of air bubbles in water. The effect of thermal losses associated with the polytropic compressions and expansions of these bubbles by the acoustic wave is included and the chest wall is represented as a massive boundary to the wave propagation. The model estimates the magnitude of acceleration over the extrathoracic trachea and at three locations on the posterior chest wall in the same vertical plane. The predicted spectral characteristics of transmission are consistent with previous experimental observations. This theoretical approach suggests that the locations of the spectral peaks are a strong function of the geometry and the wall properties of the airways, while the attenuation at higher frequencies is primarily associated with the absorption of sound in the parenchyma.
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24
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Abstract
A procedure is described for determining the absolute sound pressure at the inner end of the ear canal when a sound source is coupled to the ear, for frequencies in the range 8-20 kHz. The transducer that generates the sound is coupled to the ear canal through a lossy tube, yielding a source impedance that is approximately matched to the characteristic impedance of the ear canal. A small microphone is located in the coupling tube close to the entrance to the ear canal. Calibration is carried out by measuring the response at this microphone when an impulse is applied at the transducer. To estimate the sound pressure at the medial end of the ear canal, the Fourier transform of this impulse response is corrected by an all-pole function in which the poles are estimated from the minima in this Fourier transform. Data on individual ear canals are presented in terms of gain functions relating the sound pressure at the medial end of the ear canal to the sound pressure when the coupling tube is blocked. The average gain function for a group of adult ears increases from 2 to 12 dB over the frequency range 8-20 kHz, in rough agreement with data from ear-canal models. Possible sources of error in the calibration procedure are discussed.
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Abstract
The hearing thresholds of 37 young adults (18-26 years) were measured at 13 frequencies (8, 9,10,...,20 kHz) using a newly developed high-frequency audiometer. All subjects were screened at 15 dB HL at the low audiometric frequencies, had tympanometry within normal limits, and had no history of significant hearing problems. The audiometer delivers sound from a driver unit to the ear canal through a lossy tube and earpiece providing a source impedance essentially equal to the characteristic impedance of the tube. A small microphone located within the earpiece is used to measure the response of the ear canal when an impulse is applied at the driver unit. From this response, a gain function is calculated relating the equivalent sound-pressure level of the source to the SPL at the medial end of the ear canal. For the subjects tested, this gain function showed a gradual increase from 2 to 12 dB over the frequency range. The standard deviation of the gain function was about 2.5 dB across subjects in the lower frequency region (8-14 kHz) and about 4 dB at the higher frequencies. Cross modes and poor fit of the earpiece to the ear canal prevented accurate calibration for some subjects at the highest frequencies. The average SPL at threshold was 23 dB at 8 kHz, 30 dB at 12 kHz, and 87 dB at 18 kHz. Despite the homogeneous nature of the sample, the younger subjects in the sample had reliably better thresholds than the older subjects. Repeated measurements of threshold over an interval as long as 1 month showed a standard deviation of 2.5 dB at the lower frequencies (8-14 kHz) and 4.5 dB at the higher frequencies.
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26
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Abstract
We have examined the effects of the relative amplitude of the release burst on perception of the place of articulation of utterance-initial voiceless and voiced stop consonants. The amplitude of the burst, which occurs within the first 10-15 ms following consonant release, was systematically varied in 5-dB steps from -10 to +10 dB relative to a "normal" burst amplitude for two labial-to-alveolar synthetic speech continua--one comprising voiceless stops and the other, voiced stops. The distribution of spectral energy in the bursts for the labial and alveolar stops at the ends of the continuum was consistent with the spectrum shapes observed in natural utterances, and intermediate shapes were used for intermediate stimuli on the continuum. The results of identification tests with these stimuli showed that the relative amplitude of the burst significantly affected the perception of the place of articulation of both voiceless and voiced stops, but the effect was greater for the former than the latter. The results are consistent with a view that two basic properties contribute to the labial-alveolar distinction in English. One of these is determined by the time course of the change in amplitude in the high-frequency range (above 2500 Hz) in the few tens of ms following consonantal release, and the other is determined by the frequencies of spectral peaks associated with the second and third formants in relation to the first formant.
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Abstract
Some of the acoustic properties that distinguish one speech sound from another are reviewed. The point of view is that the auditory system responds to sound with different acoustic properties in distinctive ways, and that these special responses play an important role in selection and classification of the inventory of sounds that are used in language. Examples of several of these acoustic properties are discussed and illustrated, including the presence or absence of rapid spectrum change, abruptness and amplitude change, voicing and aspiration, and gross spectral properties relating to place of articulation for consonant and vowels.
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30
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Blumstein SE, Stevens KN. Perceptual invariance and onset spectra for stop consonants in different vowel environments. J Acoust Soc Am 1980; 67:648-662. [PMID: 7358906 DOI: 10.1121/1.383890] [Citation(s) in RCA: 62] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/21/2023]
Abstract
A series of listening tests with brief synthetic consonant-vowel syllables was carried out to determine whether the initial part of a syllable can provide cues to place of articulation for voiced stop consonants independent of the remainder of the syllable. The data show that stimuli as short as 10-20 ms sampled from the onset of a consonant-vowel syllable, can be reliably identified for consonantal place of articulation, whether the second and higher formants contain moving or straight transitions and whether or not an initial burst is present. In most instances, these brief stimuli also contain sufficient information for vowel indentification. Stimulus continua in which formant transitions ranged from values appropriate to [b], [d], [g] in various vowel environments, and in which stimulus durations were 20 and 46 ms, yielded categorical labeling functions with a few exceptions. These results are consistent with a theory of speech perception in which consonant place of articulation is cued by invariant properties derived from the spectrum sampled in a 10-20 ms time window adjacent to consonantal onset or offset.
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31
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Blumstein SE, Stevens KN. Acoustic invariance in speech production: evidence from measurements of the spectral characteristics of stop consonants. J Acoust Soc Am 1979; 66:1001-1017. [PMID: 512211 DOI: 10.1121/1.383319] [Citation(s) in RCA: 82] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/26/2023]
Abstract
On the basis of theoretical considerations and the results of experiments with synthetic consonant-vowel syllables, it has been hypothesized that the short-time spectrum sampled at the onset of a stop consonant should exhibit gross properties that uniquely specify the consonantal place of articulation independent of the following vowel. The aim of this paper is to test this hypothesis by measuring the spectrum sampled at the onsets and offsets of a large number of consonant-vowel (CV) and vowel-consonant (VC) syllables containing both voiced and voiceless stops produced by several speakers. Templates were devised in an attempt to capture three classes of spectral shapes: diffuse-rising, diffuse-falling, and compact, corresponding to alveolar, labial, and velar consonants, respectively. Spectra were derived from the utterances by sampling at the consonantal release of CV syllables and at the implosion and burst release of VC syllables, and these spectra (smoothed by a linear prediction algorithm) were matched against the templates. It was found that about 85% of the spectra at initial consonant release and at final burst release were correctly classified by the templates, although there was some variability across vowel contexts. The spectra sampled at the implosion were not consistently classified. A preliminary examination of spectra sampled at the release of nasal consonants in CV syllables showed a somewhat lower accuracy of classification by the same templates. Overall, the results support an hypothesis that, in natural speech, the acoustic characteristics of stop consonants, specified in terms of the gross spectral shape sampled at the discontinuity in the acoustic signal, show invariant properties independent of the adjacent vowel or of the voicing characteristics of the consonant. The implication is that the auditory system is endowed with detectors that are sensitive to these kinds of gross spectral shapes, and that the existence of these detectors helps the infant to organize the sounds of speech into their natural classes.
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32
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Abstract
In a series of experiments, identification responses for place of articulation were obtained for synthetic stop consonants in consonant-vowel syllables with different vowels. The acoustic attributes of the consonants were systematically manipulated, the selection of stimulus characteristics being guided in part by theoretical considerations concerning the expected properties of the sound generated in the vocal tract as place of articulation is varied. Several stimulus series were generated with and without noise bursts at the onset, and with and without formant transitions following consonantal release. Stimuli with transitions only, and with bursts plus transitions, were consistently classified according to place of articulation, whereas stimuli with bursts only and no transitions were not consistently identified. The acoustic attributes of the stimuli were examined to determine whether invariant properties characterized each place of atriculation independent of vowel context. It was determined that the gross shape of the spectrum sampled at the consonantal release showed a distinctive shape for each place of articulation: a prominent midfrequency spectral peak for velars, a diffuse-rising spectrum for alveolars, and a diffuse-falling spectrum for labials. These attributes are evident for stimuli containing transitions only, but are enhanced by the presence of noise bursts at the onset.
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33
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Kalikow DN, Stevens KN, Elliott LL. Development of a test of speech intelligibility in noise using sentence materials with controlled word predictability. J Acoust Soc Am 1977; 61:1337-51. [PMID: 881487 DOI: 10.1121/1.381436] [Citation(s) in RCA: 579] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/16/2023]
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35
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Abstract
Nasality is widely recognized as a problem in the speech of many deaf people. This paper describes one approach to the assessment of nasalization and to the development of visual aids to assist in training of velopharyngeal control. The approach involves detection of the velopharyngeal opening during voiced sounds by means of a small accelerometer attached to the nose, and presentation of the accelerometer output on a computer-controlled visual display. The display may be used as a training aid, or for the purpose of analyzing either recorded or live speech. Objective data are presented on some of the properties of the accelerometer output for the speech of people with normal hearing and of a number of children whose hearing is severely impaired. These data show inadequate velopharyngeal control, particularly improper nasalization of certain vowels, for a significant number of the deaf children. For a group of the hearing-impaired children, subjective judgments of the adequacy of velopharyngeal control and of other speech attributes were obtained. Correlations among these judgments and relations between judgments of adequacy of velopharyngeal control and the objective measures of nasalization are shown. Some comments are made on the development of procedures for the training of velopharyngeal control using the display as an aid.
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Abstract
An effort to develop a computer-based system of speech-training aids for the deaf is reported. The system is described, as are four different types of visual displays that have been programmed to date. The use of the system in a school for the deaf and an attempt to evaluate its effectiveness are described. The importance of close collaboration between researchers and teachers on efforts to develop innovative training aids is emphasized, as is the need to resolve some basic pedagogical issues.
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Stevens KN, Kalikow DN, Willemain TR. A miniature accelerometer for detecting glottal waveforms and nasalization. J Speech Hear Res 1975; 18:594-9. [PMID: 1186168 DOI: 10.1044/jshr.1803.594] [Citation(s) in RCA: 46] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
A lightweight accelerometer has been used to obtain a waveform related to the glottal acoustic output when attached to the neck of a speaker, and to provide an indication of acoustic coupling to the nasal cavities when attached to the external surface of the nose. Examples of signals produced by the accelerometer are shown, and possible clinical applications are discussed.
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40
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Abstract
This study examines the discrimination and identification of synthetic rounded and unrounded vowels by speakers of two languages (English and Swedish). The unrounded vowels are phonemic in both languages, whereas the rounded vowels are phonemic only in Swedish. A subsidiary aim of the study is to compare the perception of the synthetic vowels with that of synthetic consonant-vowel syllables in which the consonants are stops arranged along a continuum from /b/ to /d/ to /g/. The data indicate that the ability of subjects to discriminate between the vowels is relatively independent of their linguistic experience: Swedish and American English subjects exhibit similar performance in the discrimination tests, though they have somewhat different identification functions. The discrimination functions are characterized by peaks and valleys, suggesting that listeners can discriminate given shifts in the vowel formant frequencies more readily in some vowel regions than in others. Comparison of the data on stop-consonant and vowel perception is consistent with earlier findings: the number of discriminable tokens along the stop-consonant continuum is roughly equal to the number of absolutely identifiable items (three in this case) ; on the other hand, the number of discriminable vowels is much greater than the number that can be absolutely identified. The data are in accord with the view that a human listener uses different modes in the perception of steady-state vowels and stop consonants.
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41
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Stevens KN, Williams CE, Carbonell JR, Woods B. Speaker authentication and identification: a comparison of spectrographic and auditory presentations of speech material. J Acoust Soc Am 1968; 44:1596-1607. [PMID: 5705846 DOI: 10.1121/1.1911302] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/21/2023]
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42
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Hecker MH, Stevens KN, von Bismarck G, Williams CE. Manifestations of task-induced stress in the acoustic speech signal. J Acoust Soc Am 1968; 44:993-1001. [PMID: 5683666 DOI: 10.1121/1.1911241] [Citation(s) in RCA: 24] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/21/2023]
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Williams CE, Hecker MH, Stevens KN, Woods B. Intelligibility test methods and procedures for the evaluation of speech communication systems. ESD-TR-66-677. Tech Doc Rep U S Air Force Syst Command Electron Syst Div 1966:1-55. [PMID: 5981384] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 05/21/2023]
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Stevens KN, House AS, Paul AP. Acoustical description of syllabic nuclei: an interpretation in terms of a dynamic model of articulation. J Acoust Soc Am 1966; 40:123-132. [PMID: 5941758 DOI: 10.1121/1.1910027] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/21/2023]
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45
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