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Wiley KE, Levy D, Shapiro GK, Dube E, SteelFisher GK, Sevdalis N, Ganter-Restrepo F, Menning L, Leask J. A user-centered approach to developing a new tool measuring the behavioural and social drivers of vaccination. Vaccine 2021; 39:6283-6290. [PMID: 34538695 DOI: 10.1016/j.vaccine.2021.09.007] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2021] [Revised: 08/24/2021] [Accepted: 09/03/2021] [Indexed: 11/15/2022]
Abstract
BACKGROUND Children around the world remain under-vaccinated for many reasons. To develop effective vaccine delivery programmes and monitor intervention impact, vaccine programme implementers need to understand reasons for under-vaccination within their local context. The World Health Organization (WHO) Working Group on the Behavioural and Social Drivers of Vaccination (BeSD) is developing standardised tools for assessing childhood vaccine acceptance and uptake that can be used across regions and countries. The tools will include: (1) a validated survey; (2) qualitative interview guides; and (3) corresponding user guidance. We report a user-centred needs assessment of key end-users of the BeSD tools. METHODS Twenty qualitative interviews (Apr-Aug 2019) with purposively sampled vaccine programme managers, partners and stakeholders from UNICEF and WHO country and regional offices. The interviews assessed current systems, practices and challenges in data utilisation and reflections on how the BeSD tools might be optimised. Framework analysis was used to code the interviews. RESULTS Regarding current practices, participants described a variety of settings, data systems, and frequencies of vaccination attitude measurement. They reported that the majority of data used is quantitative, and there is appetite for increased use of qualitative data. Capacity for conducting studies on social/behavioural drivers of vaccination was high in some jurisdictions and needed in others. Issues include barriers to collecting such data and variability in sources. Reflecting on the tools, participants described the need to explore the attitudes and practices of healthcare workers in addition to parents and caregivers. Participants were supportive of the proposed mixed-methods structure of the tools and training in their usage, and highlighted the need for balance between tool standardisation and flexibility to adapt locally. CONCLUSIONS A user-centred approach in developing the BeSD tools has given valuable direction to their design, bringing the use of behavioural and social data to the heart of programme planning.
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Affiliation(s)
- K E Wiley
- School of Public Health, Faculty of Medicine and Health, The University of Sydney, Australia.
| | - D Levy
- Susan Wakil School of Nursing and Midwifery, Faculty of Medicine and Health, The University of Sydney, Australia
| | - G K Shapiro
- Department of Supportive Care, Princess Margaret Cancer Centre, University Health Network, Canada
| | - E Dube
- Department of Anthropology, Faculty of Social Sciences, Université Laval, Canada
| | - G K SteelFisher
- Department of Health Policy and Management, Harvard T.H. Chan School of Public Health, United States
| | - N Sevdalis
- Centre for Implementation Science, Health Service & Population Research Department, King's College London, UK
| | - F Ganter-Restrepo
- WHO Headquarters Department of Immunization, Vaccines, and Biologicals, Switzerland
| | - L Menning
- WHO Headquarters Department of Immunization, Vaccines, and Biologicals, Switzerland
| | - J Leask
- Susan Wakil School of Nursing and Midwifery, Faculty of Medicine and Health, The University of Sydney, Australia
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Wu Y, Yu H, Zheng SL, Feng B, Kapron AL, Na R, Boyle JL, Shah S, Shi Z, Ewing CM, Wiley KE, Luo J, Walsh PC, Carter HB, Helfand BT, Cooney KA, Xu J, Isaacs WB. Germline mutations in PPFIBP2 are associated with lethal prostate cancer. Prostate 2018; 78:1222-1228. [PMID: 30043417 DOI: 10.1002/pros.23697] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/16/2018] [Accepted: 07/05/2018] [Indexed: 10/28/2022]
Abstract
BACKGROUND Few genes have germline mutations which predispose men to more aggressive prostate cancer (PCa). This study evaluated the contribution of germline loss of function (LOF) variants in PPFIBP2 to risk of lethal PCa. METHODS A case-case study of 1414 PCa patients with lethal PCa and low-risk localized PCa was performed. Germline DNA samples from these patients were sequenced for PPFIBP2. Mutation carrier rates and association with lethal PCa were analyzed using the Fisher exact test, logistic regression, and Kaplan-Meier survival analysis. RESULTS In the entire study population, eight patients, all of European ancestry, were identified as carrying PPFIBP2 pathogenic or likely pathogenic mutations. Seven (1.52%) of 462 lethal PCa patients were carriers compared with only one (0.12%) carrier in 810 low-risk PCa patients, P = 0.0029. The estimated Odds Ratio (OR) of carrying PPFIBP2 mutation for lethal PCa was 13.8 in European American population. The PPFIBP2 loss-of-function mutation carrier rate in lethal PCa cases was also higher than in 33 370 non-Finnish European individuals from the Exome Aggregation Consortium (ExAC) (carrier rate of 0.17%, P = 1.92 × 10-5 ) and in 498 men with localized PCa from The Cancer Genome Atlas cohort (TCGA) cohort (carrier rate of 0%, P = 0.0058). Survival analysis in European American lethal cases revealed PPFIBP2 mutation status as an independent predictor of shorter survival after adjusting for age at diagnosis, PSA at diagnosis, and genetic background (hazard ratio = 2.62, P = 0.034). CONCLUSIONS While larger studies are needed, germline mutations in a novel gene, PPFIBP2, differentiated risk for lethal PCa from low-risk cases and were associated with shorter survival times after diagnosis.
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Affiliation(s)
- Yishuo Wu
- Fudan Institute of Urology, Huashan Hospital, Fudan University, Shanghai, China
- Program for Personalized Cancer Care, NorthShore University HealthSystem, Evanston, Illinois
| | - Hongjie Yu
- Program for Personalized Cancer Care, NorthShore University HealthSystem, Evanston, Illinois
| | - Siqun Lilly Zheng
- Program for Personalized Cancer Care, NorthShore University HealthSystem, Evanston, Illinois
| | - Bingjian Feng
- Department of Dermatology, University of Utah, Salt Lake City, Utah
- Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah
| | - Ashley L Kapron
- Department of Internal Medicine, University of Utah, Salt Lake City, Utah
| | - Rong Na
- Program for Personalized Cancer Care, NorthShore University HealthSystem, Evanston, Illinois
- Department of Urology, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Julie L Boyle
- Department of Internal Medicine, University of Utah, Salt Lake City, Utah
| | - Sameep Shah
- Program for Personalized Cancer Care, NorthShore University HealthSystem, Evanston, Illinois
| | - Zhuqing Shi
- Program for Personalized Cancer Care, NorthShore University HealthSystem, Evanston, Illinois
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, China
| | - Charles M Ewing
- Department of Urology and the James Buchanan Brady Urologic Institute, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Kathleen E Wiley
- Department of Urology and the James Buchanan Brady Urologic Institute, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Jun Luo
- Department of Urology and the James Buchanan Brady Urologic Institute, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Patrick C Walsh
- Department of Urology and the James Buchanan Brady Urologic Institute, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Herbert Ballentine Carter
- Department of Urology and the James Buchanan Brady Urologic Institute, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Brian T Helfand
- Program for Personalized Cancer Care, NorthShore University HealthSystem, Evanston, Illinois
| | - Kathleen A Cooney
- Department of Internal Medicine, University of Utah, Salt Lake City, Utah
| | - Jianfeng Xu
- Fudan Institute of Urology, Huashan Hospital, Fudan University, Shanghai, China
- Program for Personalized Cancer Care, NorthShore University HealthSystem, Evanston, Illinois
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, China
| | - William B Isaacs
- Department of Urology and the James Buchanan Brady Urologic Institute, Johns Hopkins University School of Medicine, Baltimore, Maryland
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Attwell K, Wiley KE, Waddington C, Leask J, Snelling T. Midwives' attitudes, beliefs and concerns about childhood vaccination: A review of the global literature. Vaccine 2018; 36:6531-6539. [PMID: 29483029 DOI: 10.1016/j.vaccine.2018.02.028] [Citation(s) in RCA: 30] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2016] [Revised: 12/20/2017] [Accepted: 02/02/2018] [Indexed: 11/24/2022]
Abstract
Vaccine hesitancy in industrialised countries is an area of concern. Health professionals play a significant role in parental vaccination decisions, however, to date the role of midwives has not been widely explored. This review sought to describe the attitudes and communication practices of midwives in developed countries towards childhood vaccines. Medline, Cinahl, PsychInfo, Embase and the grey literature were searched. Inclusion criteria were qualitative and quantitative studies reporting midwives' beliefs, attitudes and communication practices toward childhood vaccination. The search returned 366 articles, of which 359 were excluded by abstract. Two additional articles were identified from the grey literature and references, resulting in nine studies from five countries included in the review. Across the studies, the majority of midwives supported vaccination, although a spectrum of beliefs and concerns emerged. A minority expressed reservations about the scientific justification for vaccination, which focussed on what is not yet known rather than mistrust of current evidence. Most midwives felt that vaccines were safe; a minority were unsure, or believed they were unsafe. The majority of midwives agreed that childhood vaccines are necessary. Among those who expressed doubt, a commonly held opinion was that vaccine preventable diseases such as measles are relatively benign and didn't warrant vaccination against them. Finally, the midwifery model of care was shown to focus on providing individualised care, with parental choice being placed at a premium. The midwifery model care appears to differ in approach from others, possibly due to a difference in the underpinning philosophies. Research is needed to understand how midwives see vaccination, and why there appears to be a spectrum of views on the subject. This information will inform the development of resources tailored to the midwifery model of care, supporting midwives in advocating for childhood vaccination.
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Affiliation(s)
- K Attwell
- School of Social Science, University of Western Australia, 35 Stirling Hwy, Crawley, Australia; Wesfarmers Centre of Vaccines & Infectious Diseases, Telethon Kids Institute, Western Australia, Australia.
| | - K E Wiley
- School of Public Health, Edward Ford Building A27, University of Sydney, Australia; National Centre for Immunisation Research & Surveillance, cnr Hawkesbury Rd & Hainsworth St, Westmead 2415, Australia
| | - C Waddington
- Wesfarmers Centre of Vaccines & Infectious Diseases, Telethon Kids Institute, Western Australia, Australia
| | - J Leask
- School of Public Health, Edward Ford Building A27, University of Sydney, Australia
| | - T Snelling
- Wesfarmers Centre of Vaccines & Infectious Diseases, Telethon Kids Institute, Western Australia, Australia; Menzies School of Health Research and Charles Darwin University, Darwin, Australia
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4
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Wiley KE, Steffens M, Berry N, Leask J. An audit of the quality of online immunisation information available to Australian parents. BMC Public Health 2017; 17:76. [PMID: 28086764 PMCID: PMC5237325 DOI: 10.1186/s12889-016-3933-9] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2016] [Accepted: 12/12/2016] [Indexed: 11/25/2022] Open
Abstract
Background The Internet is increasingly a source of health information for parents, who use the Internet alongside health care providers for immunisation information. Concerns have been raised about the reliability of online immunisation information, however to date there has been no audit of the quality or quantity of what is available to Australian parents. The objective of this study was to address this gap by simulating a general online search for immunisation information, and assessing the quality and quantity of the web sites returned by the search. Methods We used Google trends to identify the most common immunisation search terms used in Australia. The ten most common terms were entered into five search engines and the first ten non-commercial results from each search collated. A quality assessment tool was developed using the World Health Organization Global Advisory Committee on Vaccine Safety (GACVS) criteria for assessing the quality of vaccine safety web sites, and used to assess and score the quality of the sites. Results Seven hundred web pages were identified, of which 514 were duplicates, leaving 186 pages from 115 web sites which were audited. Forty sites did not include human immunisation information, or presented personal opinion about individuals, and were not scored. Of the 75 sites quality scored, 65 (87%) were supportive of immunisation, while 10 (13%) were not supportive. The overall mean quality score was 57/100 (range 14/100 to 92/100). When stratified by pro and anti-vaccination stance, the average quality score for pro-vaccine sites was 61/100, while the average score for anti-vaccine sites was 30/100. Pro-vaccine information could be divided into three content groups: generalist overview with little detail; well-articulated and understandable detail; and lengthy and highly technical explanations. The main area found to be lacking in pro-vaccine sites was lack of transparent authorship. Conclusion Our findings suggest a need for information which is easily found, transparently authored, well-referenced, and written in a way that is easily understood.
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Affiliation(s)
- K E Wiley
- National Centre for Immunisation Research and Surveillance, The Children's Hospital at Westmead, Sydney, NSW, 2145, Australia. .,Sydney School of Public Health, University of Sydney, Sydney, NSW, 2006, Australia.
| | - M Steffens
- Sydney School of Public Health, University of Sydney, Sydney, NSW, 2006, Australia
| | - N Berry
- Sydney School of Public Health, University of Sydney, Sydney, NSW, 2006, Australia
| | - J Leask
- Sydney School of Public Health, University of Sydney, Sydney, NSW, 2006, Australia.,Sydney Nursing School, University of Sydney, Sydney, NSW, 2006, Australia
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Teerlink CC, Leongamornlert D, Dadaev T, Thomas A, Farnham J, Stephenson RA, Riska S, McDonnell SK, Schaid DJ, Catalona WJ, Zheng SL, Cooney KA, Ray AM, Zuhlke KA, Lange EM, Giles GG, Southey MC, Fitzgerald LM, Rinckleb A, Luedeke M, Maier C, Stanford JL, Ostrander EA, Kaikkonen EM, Sipeky C, Tammela T, Schleutker J, Wiley KE, Isaacs SD, Walsh PC, Isaacs WB, Xu J, Cancel-Tassin G, Cussenot O, Mandal D, Laurie C, Laurie C, Thibodeau SN, Eeles RA, Kote-Jarai Z, Cannon-Albright L. Genome-wide association of familial prostate cancer cases identifies evidence for a rare segregating haplotype at 8q24.21. Hum Genet 2016; 135:923-38. [PMID: 27262462 PMCID: PMC5020907 DOI: 10.1007/s00439-016-1690-6] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.1] [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: 03/08/2016] [Accepted: 05/26/2016] [Indexed: 10/21/2022]
Abstract
Previous genome-wide association studies (GWAS) of prostate cancer risk focused on cases unselected for family history and have reported over 100 significant associations. The International Consortium for Prostate Cancer Genetics (ICPCG) has now performed a GWAS of 2511 (unrelated) familial prostate cancer cases and 1382 unaffected controls from 12 member sites. All samples were genotyped on the Illumina 5M+exome single nucleotide polymorphism (SNP) platform. The GWAS identified a significant evidence for association for SNPs in six regions previously associated with prostate cancer in population-based cohorts, including 3q26.2, 6q25.3, 8q24.21, 10q11.23, 11q13.3, and 17q12. Of note, SNP rs138042437 (p = 1.7e(-8)) at 8q24.21 achieved a large estimated effect size in this cohort (odds ratio = 13.3). 116 previously sampled affected relatives of 62 risk-allele carriers from the GWAS cohort were genotyped for this SNP, identifying 78 additional affected carriers in 62 pedigrees. A test for an excess number of affected carriers among relatives exhibited strong evidence for co-segregation of the variant with disease (p = 8.5e(-11)). The majority (92 %) of risk-allele carriers at rs138042437 had a consistent estimated haplotype spanning approximately 100 kb of 8q24.21 that contained the minor alleles of three rare SNPs (dosage minor allele frequencies <1.7 %), rs183373024 (PRNCR1), previously associated SNP rs188140481, and rs138042437 (CASC19). Strong evidence for co-segregation of a SNP on the haplotype further characterizes the haplotype as a prostate cancer predisposition locus.
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Affiliation(s)
- Craig C Teerlink
- Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, UT, 84108, USA.
| | - Daniel Leongamornlert
- Division of Genetics and Epidemiology, Institute of Cancer Research, London, SW7 3RP, UK
| | - Tokhir Dadaev
- Division of Genetics and Epidemiology, Institute of Cancer Research, London, SW7 3RP, UK
| | - Alun Thomas
- Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, UT, 84108, USA
| | - James Farnham
- Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, UT, 84108, USA
| | - Robert A Stephenson
- Department of Urology, University of Utah School of Medicine, Salt Lake City, UT, 84132, USA
- Department of Surgery, University of Utah School of Medicine, Salt Lake City, UT, 84132, USA
- Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, 84112, USA
| | - Shaun Riska
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN, 55905, USA
| | - Shannon K McDonnell
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN, 55905, USA
| | - Daniel J Schaid
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN, 55905, USA
| | - William J Catalona
- Feinberg School of Medicine, Northwestern University, Chicago, IL, 60611, USA
| | - S Lilly Zheng
- Feinberg School of Medicine, Northwestern University, Chicago, IL, 60611, USA
| | - Kathleen A Cooney
- Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, MI, 48109, USA
- Department of Urology, University of Michigan Medical School, Ann Arbor, MI, 48109, USA
| | - Anna M Ray
- Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, MI, 48109, USA
- Department of Urology, University of Michigan Medical School, Ann Arbor, MI, 48109, USA
| | - Kimberly A Zuhlke
- Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, MI, 48109, USA
- Department of Urology, University of Michigan Medical School, Ann Arbor, MI, 48109, USA
| | - Ethan M Lange
- Department of Genetics, University of North Carolina, Chapel Hill, NC, 27599, USA
- Department of Biostatistics, University of North Carolina, Chapel Hill, NC, 27599, USA
| | - Graham G Giles
- Cancer Epidemiology Centre, Cancer Council Victoria, Melbourne, 3004, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, VIC, 3010, Australia
- Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, VIC, 3004, Australia
| | - Melissa C Southey
- Department of Pathology, University of Melbourne, Melbourne, 3010, Australia
| | - Liesel M Fitzgerald
- Cancer Epidemiology Centre, Cancer Council Victoria, Melbourne, 3004, Australia
| | - Antje Rinckleb
- Department of Urology, University Hospital Ulm, 53179, Ulm, Germany
| | - Manuel Luedeke
- Department of Urology, University Hospital Ulm, 53179, Ulm, Germany
| | - Christiane Maier
- Institute for Human Genetics, University of Ulm, 89081, Ulm, Germany
| | - Janet L Stanford
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center (FHCRC), Seattle, WA, 98109, USA
| | - Elaine A Ostrander
- Cancer Genetics Branch, National Human Genome Research Institute (NHGRI), National Institutes of Health (NIH), Bethesda, MD, 20892, USA
| | - Elina M Kaikkonen
- Department of Medical Biochemistry and Genetics, University of Turku, 20520, Turku, Finland
| | - Csilla Sipeky
- Department of Medical Biochemistry and Genetics, University of Turku, 20520, Turku, Finland
| | - Teuvo Tammela
- Department of Urology, University of Tampere and Tampere University Hospital, 33520, Tampere, Finland
| | - Johanna Schleutker
- Tyks Microbiology and Genetics, Department of Medical Genetics, Turku University Hospital, 20520, Turku, Finland
| | - Kathleen E Wiley
- Brady Urological Institute, Johns Hopkins University, Baltimore, MD, 21287, USA
| | - Sarah D Isaacs
- Brady Urological Institute, Johns Hopkins University, Baltimore, MD, 21287, USA
| | - Patrick C Walsh
- Brady Urological Institute, Johns Hopkins University, Baltimore, MD, 21287, USA
| | - William B Isaacs
- Brady Urological Institute, Johns Hopkins University, Baltimore, MD, 21287, USA
| | - Jianfeng Xu
- Program for Personalized Cancer Care, NorthShore University Health System, Evanston, IL, 60201, USA
| | | | - Olivier Cussenot
- CeRePP, Hopital Tenon, Assistance Publique-Hopitaux de Paris, 75020, Paris, France
| | - Diptasri Mandal
- Department of Genetics, Louisiana State University Health Sciences Center, New Orleans, LA, 70112, USA
| | - Cecelia Laurie
- Department of Biostatistics, University of Washington, Seattle, WA, 98195, USA
| | - Cathy Laurie
- Department of Biostatistics, University of Washington, Seattle, WA, 98195, USA
| | - Stephen N Thibodeau
- Department of Lab Medicine and Pathology, Mayo Clinic, Rochester, MN, 55905, USA
| | - Rosalind A Eeles
- Division of Genetics and Epidemiology, Institute of Cancer Research, London, SW7 3RP, UK
| | - Zsofia Kote-Jarai
- Division of Genetics and Epidemiology, Institute of Cancer Research, London, SW7 3RP, UK
| | - Lisa Cannon-Albright
- Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, UT, 84108, USA
- George E. Wahlen Department of Veterans Affairs Medical Center, Salt Lake City, UT, 84148, USA
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Alqahtani AS, Wiley KE, Willaby HW, BinDhim NF, Tashani M, Heywood AE, Booy R, Rashid H. Australian Hajj pilgrims' knowledge, attitude and perception about Ebola, November 2014 to February 2015. ACTA ACUST UNITED AC 2015; 20. [PMID: 25846489 DOI: 10.2807/1560-7917.es2015.20.12.21072] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
Abstract
Upon return from Hajj 2014, 150 Australian pilgrims were interviewed about their understanding of the Ebola epidemic. Most (89%, 134/150) knew of the epidemic before travelling and 60% (80/134) of those knew Ebola transmits through body fluids. Pilgrims who received pre-travel health advice were more conscious of Ebola (69% vs 31%, p = 0.01) and adhered better to hand hygiene after touching an ill person (68% vs 31%, p < 0.01). Mass media was the main information source (78%).
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Affiliation(s)
- A S Alqahtani
- National Centre for Immunisation Research and Surveillance of Vaccine Preventable Diseases (NCIRS), The Children s Hospital at Westmead, and the Discipline of Paediatrics and Child Health, Sydney Medical School, University of Sydney, Australia
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7
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Teerlink CC, Thibodeau SN, McDonnell SK, Schaid DJ, Rinckleb A, Maier C, Vogel W, Cancel-Tassin G, Egrot C, Cussenot O, Foulkes WD, Giles GG, Hopper JL, Severi G, Eeles R, Easton D, Kote-Jarai Z, Guy M, Cooney KA, Ray AM, Zuhlke KA, Lange EM, Fitzgerald LM, Stanford JL, Ostrander EA, Wiley KE, Isaacs SD, Walsh PC, Isaacs WB, Wahlfors T, Tammela T, Schleutker J, Wiklund F, Grönberg H, Emanuelsson M, Carpten J, Bailey-Wilson J, Whittemore AS, Oakley-Girvan I, Hsieh CL, Catalona WJ, Zheng SL, Jin G, Lu L, Xu J, Camp NJ, Cannon-Albright LA. Association analysis of 9,560 prostate cancer cases from the International Consortium of Prostate Cancer Genetics confirms the role of reported prostate cancer associated SNPs for familial disease. Hum Genet 2014; 133:347-56. [PMID: 24162621 PMCID: PMC3945961 DOI: 10.1007/s00439-013-1384-2] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2013] [Accepted: 10/16/2013] [Indexed: 12/24/2022]
Abstract
Previous GWAS studies have reported significant associations between various common SNPs and prostate cancer risk using cases unselected for family history. How these variants influence risk in familial prostate cancer is not well studied. Here, we analyzed 25 previously reported SNPs across 14 loci from prior prostate cancer GWAS. The International Consortium for Prostate Cancer Genetics (ICPCG) previously validated some of these using a family-based association method (FBAT). However, this approach suffered reduced power due to the conditional statistics implemented in FBAT. Here, we use a case-control design with an empirical analysis strategy to analyze the ICPCG resource for association between these 25 SNPs and familial prostate cancer risk. Fourteen sites contributed 12,506 samples (9,560 prostate cancer cases, 3,368 with aggressive disease, and 2,946 controls from 2,283 pedigrees). We performed association analysis with Genie software which accounts for relationships. We analyzed all familial prostate cancer cases and the subset of aggressive cases. For the familial prostate cancer phenotype, 20 of the 25 SNPs were at least nominally associated with prostate cancer and 16 remained significant after multiple testing correction (p ≤ 1E (-3)) occurring on chromosomal bands 6q25, 7p15, 8q24, 10q11, 11q13, 17q12, 17q24, and Xp11. For aggressive disease, 16 of the SNPs had at least nominal evidence and 8 were statistically significant including 2p15. The results indicate that the majority of common, low-risk alleles identified in GWAS studies for all prostate cancer also contribute risk for familial prostate cancer, and that some may contribute risk to aggressive disease.
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Affiliation(s)
- Craig C Teerlink
- Division of Genetic Epidemiology, Department of Medicine, University of Utah School of Medicine, Salt Lake City, UT, USA,
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8
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Xu J, Lange EM, Lu L, Zheng SL, Wang Z, Thibodeau SN, Cannon-Albright LA, Teerlink CC, Camp NJ, Johnson AM, Zuhlke KA, Stanford JL, Ostrander EA, Wiley KE, Isaacs SD, Walsh PC, Maier C, Luedeke M, Vogel W, Schleutker J, Wahlfors T, Tammela T, Schaid D, McDonnell SK, DeRycke MS, Cancel-Tassin G, Cussenot O, Wiklund F, Grönberg H, Eeles R, Easton D, Kote-Jarai Z, Whittemore AS, Hsieh CL, Giles GG, Hopper JL, Severi G, Catalona WJ, Mandal D, Ledet E, Foulkes WD, Hamel N, Mahle L, Moller P, Powell I, Bailey-Wilson JE, Carpten JD, Seminara D, Cooney KA, Isaacs WB. HOXB13 is a susceptibility gene for prostate cancer: results from the International Consortium for Prostate Cancer Genetics (ICPCG). Hum Genet 2013; 132:5-14. [PMID: 23064873 PMCID: PMC3535370 DOI: 10.1007/s00439-012-1229-4] [Citation(s) in RCA: 149] [Impact Index Per Article: 13.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2012] [Accepted: 09/15/2012] [Indexed: 11/26/2022]
Abstract
Prostate cancer has a strong familial component but uncovering the molecular basis for inherited susceptibility for this disease has been challenging. Recently, a rare, recurrent mutation (G84E) in HOXB13 was reported to be associated with prostate cancer risk. Confirmation and characterization of this finding is necessary to potentially translate this information to the clinic. To examine this finding in a large international sample of prostate cancer families, we genotyped this mutation and 14 other SNPs in or flanking HOXB13 in 2,443 prostate cancer families recruited by the International Consortium for Prostate Cancer Genetics (ICPCG). At least one mutation carrier was found in 112 prostate cancer families (4.6 %), all of European descent. Within carrier families, the G84E mutation was more common in men with a diagnosis of prostate cancer (194 of 382, 51 %) than those without (42 of 137, 30 %), P = 9.9 × 10(-8) [odds ratio 4.42 (95 % confidence interval 2.56-7.64)]. A family-based association test found G84E to be significantly over-transmitted from parents to affected offspring (P = 6.5 × 10(-6)). Analysis of markers flanking the G84E mutation indicates that it resides in the same haplotype in 95 % of carriers, consistent with a founder effect. Clinical characteristics of cancers in mutation carriers included features of high-risk disease. These findings demonstrate that the HOXB13 G84E mutation is present in ~5 % of prostate cancer families, predominantly of European descent, and confirm its association with prostate cancer risk. While future studies are needed to more fully define the clinical utility of this observation, this allele and others like it could form the basis for early, targeted screening of men at elevated risk for this common, clinically heterogeneous cancer.
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Affiliation(s)
- Jianfeng Xu
- Data Coordinating Center for the ICPCG, Wake Forest University School of Medicine, Winston-Salem, NC USA
- Center for Cancer Genomics, Wake Forest University School of Medicine, Winston-Salem, NC USA
| | - Ethan M. Lange
- University of Michigan ICPCG Group, University of Michigan Medical School, Ann Arbor, MI USA
- Departments of Genetics and Biostatistics, University of North Carolina, Chapel Hill, NC USA
| | - Lingyi Lu
- Data Coordinating Center for the ICPCG, Wake Forest University School of Medicine, Winston-Salem, NC USA
- Center for Cancer Genomics, Wake Forest University School of Medicine, Winston-Salem, NC USA
| | - Siqun L. Zheng
- Data Coordinating Center for the ICPCG, Wake Forest University School of Medicine, Winston-Salem, NC USA
- Center for Cancer Genomics, Wake Forest University School of Medicine, Winston-Salem, NC USA
| | - Zhong Wang
- Data Coordinating Center for the ICPCG, Wake Forest University School of Medicine, Winston-Salem, NC USA
- Center for Cancer Genomics, Wake Forest University School of Medicine, Winston-Salem, NC USA
| | - Stephen N. Thibodeau
- Mayo Clinic ICPGC Group, Mayo Clinic, Rochester, MN USA
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN USA
| | - Lisa A. Cannon-Albright
- University of Utah ICPCG Group, University of Utah School of Medicine, Salt Lake City, UT USA
- Department of Medicine, University of Utah School of Medicine, Salt Lake City, UT USA
| | - Craig C. Teerlink
- University of Utah ICPCG Group, University of Utah School of Medicine, Salt Lake City, UT USA
- Department of Medicine, University of Utah School of Medicine, Salt Lake City, UT USA
| | - Nicola J. Camp
- University of Utah ICPCG Group, University of Utah School of Medicine, Salt Lake City, UT USA
- Department of Medicine, University of Utah School of Medicine, Salt Lake City, UT USA
| | - Anna M. Johnson
- University of Michigan ICPCG Group, University of Michigan Medical School, Ann Arbor, MI USA
- Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, MI USA
| | - Kimberly A. Zuhlke
- University of Michigan ICPCG Group, University of Michigan Medical School, Ann Arbor, MI USA
- Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, MI USA
| | - Janet L. Stanford
- Fred Hutchinson Cancer Research Center (FHCRC) ICPCG Group, Seattle, WA USA
- Division of Public Health Sciences, FHCRC, Seattle, WA USA
| | - Elaine A. Ostrander
- Fred Hutchinson Cancer Research Center (FHCRC) ICPCG Group, Seattle, WA USA
- Cancer Genetics Branch, National Human Genome Research Institute, NIH, Bethesda, MD USA
| | - Kathleen E. Wiley
- Johns Hopkins University ICPCG Group, Baltimore, MD USA
- Department of Urology, Johns Hopkins Medical Institutions, Johns Hopkins Hospital, Marburg 115, 600 North Wolfe Street, Baltimore, MD 21287 USA
| | - Sarah D. Isaacs
- Johns Hopkins University ICPCG Group, Baltimore, MD USA
- Department of Urology, Johns Hopkins Medical Institutions, Johns Hopkins Hospital, Marburg 115, 600 North Wolfe Street, Baltimore, MD 21287 USA
| | - Patrick C. Walsh
- Johns Hopkins University ICPCG Group, Baltimore, MD USA
- Department of Urology, Johns Hopkins Medical Institutions, Johns Hopkins Hospital, Marburg 115, 600 North Wolfe Street, Baltimore, MD 21287 USA
| | - Christiane Maier
- University of Ulm ICPCG Group, University of Ulm, Ulm, Germany
- Department of Urology, University of Ulm, Ulm, Germany
| | - Manuel Luedeke
- University of Ulm ICPCG Group, University of Ulm, Ulm, Germany
- Department of Urology, University of Ulm, Ulm, Germany
| | - Walther Vogel
- University of Ulm ICPCG Group, University of Ulm, Ulm, Germany
- Institute of Human Genetics, University of Ulm, Ulm, Germany
| | - Johanna Schleutker
- University of Tampere ICPCG Group, University of Tampere and Fimlab Laboratories, Tampere, Finland
- Institute of Biomedical Technology/BioMediTech, University of Tampere and Fimlab Laboratories, Tampere, Finland
- Department of Medical Biochemistry and Genetics, University of Turku, Turku, Finland
| | - Tiina Wahlfors
- University of Tampere ICPCG Group, University of Tampere and Fimlab Laboratories, Tampere, Finland
- Institute of Biomedical Technology/BioMediTech, University of Tampere and Fimlab Laboratories, Tampere, Finland
| | - Teuvo Tammela
- University of Tampere ICPCG Group, University of Tampere and Fimlab Laboratories, Tampere, Finland
- Department of Urology, Tampere University Hospital, Tampere, Finland
| | - Daniel Schaid
- Mayo Clinic ICPGC Group, Mayo Clinic, Rochester, MN USA
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN USA
| | - Shannon K. McDonnell
- Mayo Clinic ICPGC Group, Mayo Clinic, Rochester, MN USA
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN USA
| | - Melissa S. DeRycke
- Mayo Clinic ICPGC Group, Mayo Clinic, Rochester, MN USA
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN USA
| | | | - Olivier Cussenot
- CeRePP ICPCG Group, Paris, France
- Department of Urology, APHP, Hospital Tenon, Paris, France
| | - Fredrik Wiklund
- Karolinska ICPCG Group, Karolinska Institutet, Stockholm, Sweden
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Henrik Grönberg
- Karolinska ICPCG Group, Karolinska Institutet, Stockholm, Sweden
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Ros Eeles
- ACTANE (Anglo/Canadian/Texan/Australian/Norwegian/EU Biomed) Consortium ICPCG Group, Surrey, UK
- Institute of Cancer Research and Royal Marsden NHS Foundation Trust, Surrey, UK
| | - Doug Easton
- ACTANE (Anglo/Canadian/Texan/Australian/Norwegian/EU Biomed) Consortium ICPCG Group, Surrey, UK
- Strangeways Laboratory, Department of Oncology, Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, UK
| | - Zsofia Kote-Jarai
- ACTANE (Anglo/Canadian/Texan/Australian/Norwegian/EU Biomed) Consortium ICPCG Group, Surrey, UK
- Institute of Cancer Research and Royal Marsden NHS Foundation Trust, Surrey, UK
| | - Alice S. Whittemore
- BC/CA/HI ICPCG Group, Stanford School of Medicine, Stanford, CA USA
- Department of Health Research and Policy, Stanford School of Medicine, Stanford, CA USA
- Stanford Comprehensive Cancer Center, Stanford School of Medicine, Stanford, CA USA
| | - Chih-Lin Hsieh
- BC/CA/HI ICPCG Group, Stanford School of Medicine, Stanford, CA USA
- Department of Urology and Department of Biochemistry and Molecular Biology, University of Southern California, Los Angeles, CA USA
| | - Graham G. Giles
- ACTANE (Anglo/Canadian/Texan/Australian/Norwegian/EU Biomed) Consortium ICPCG Group, Surrey, UK
- Cancer Epidemiology Centre, Cancer Council Victoria, Melbourne, Australia
- Centre for Molecular, Environmental, Genetic and Analytical Epidemiology, University of Melbourne, Melbourne, Australia
| | - John L. Hopper
- ACTANE (Anglo/Canadian/Texan/Australian/Norwegian/EU Biomed) Consortium ICPCG Group, Surrey, UK
- Cancer Epidemiology Centre, Cancer Council Victoria, Melbourne, Australia
- Centre for Molecular, Environmental, Genetic and Analytical Epidemiology, University of Melbourne, Melbourne, Australia
| | - Gianluca Severi
- ACTANE (Anglo/Canadian/Texan/Australian/Norwegian/EU Biomed) Consortium ICPCG Group, Surrey, UK
- Cancer Epidemiology Centre, Cancer Council Victoria, Melbourne, Australia
- Centre for Molecular, Environmental, Genetic and Analytical Epidemiology, University of Melbourne, Melbourne, Australia
| | - William J. Catalona
- Northwestern University ICPCG Group, Chicago, IL USA
- Northwestern University Feinberg School of Medicine, Chicago, IL USA
| | - Diptasri Mandal
- Louisiana State University ICPCG Group, New Orleans, LA USA
- Department of Genetics, Louisiana State University Health Sciences Center, New Orleans, LA USA
| | - Elisa Ledet
- Louisiana State University ICPCG Group, New Orleans, LA USA
- Department of Genetics, Louisiana State University Health Sciences Center, New Orleans, LA USA
| | - William D. Foulkes
- ACTANE (Anglo/Canadian/Texan/Australian/Norwegian/EU Biomed) Consortium ICPCG Group, Surrey, UK
- Program in Cancer Genetics, Departments of Oncology and Human Genetics, McGill University, Montreal, QC Canada
- Research Institute of the McGill University Health Centre, Montreal, QC Canada
| | - Nancy Hamel
- ACTANE (Anglo/Canadian/Texan/Australian/Norwegian/EU Biomed) Consortium ICPCG Group, Surrey, UK
- Program in Cancer Genetics, Departments of Oncology and Human Genetics, McGill University, Montreal, QC Canada
- Research Institute of the McGill University Health Centre, Montreal, QC Canada
| | - Lovise Mahle
- ACTANE (Anglo/Canadian/Texan/Australian/Norwegian/EU Biomed) Consortium ICPCG Group, Surrey, UK
- The Norwegian Radium Hospital, Oslo, Norway
| | - Pal Moller
- ACTANE (Anglo/Canadian/Texan/Australian/Norwegian/EU Biomed) Consortium ICPCG Group, Surrey, UK
- The Norwegian Radium Hospital, Oslo, Norway
| | - Isaac Powell
- African American Hereditary Prostate Cancer ICPCG Group, Detroit, MI USA
- Karmanos Cancer Institute, Wayne State University, Detroit, MI USA
| | - Joan E. Bailey-Wilson
- African American Hereditary Prostate Cancer ICPCG Group, Detroit, MI USA
- Inherited Disease Research Branch, National Human Genome Research Institute, NIH, Bethesda, MD USA
| | - John D. Carpten
- African American Hereditary Prostate Cancer ICPCG Group, Detroit, MI USA
- Genetic Basis of Human Disease Research Division, Translational Genomics Research Institute, Phoenix, AZ USA
| | | | - Kathleen A. Cooney
- University of Michigan ICPCG Group, University of Michigan Medical School, Ann Arbor, MI USA
- Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, MI USA
| | - William B. Isaacs
- Johns Hopkins University ICPCG Group, Baltimore, MD USA
- Department of Urology, Johns Hopkins Medical Institutions, Johns Hopkins Hospital, Marburg 115, 600 North Wolfe Street, Baltimore, MD 21287 USA
| | - International Consortium for Prostate Cancer Genetics
- Data Coordinating Center for the ICPCG, Wake Forest University School of Medicine, Winston-Salem, NC USA
- Center for Cancer Genomics, Wake Forest University School of Medicine, Winston-Salem, NC USA
- University of Michigan ICPCG Group, University of Michigan Medical School, Ann Arbor, MI USA
- Departments of Genetics and Biostatistics, University of North Carolina, Chapel Hill, NC USA
- Mayo Clinic ICPGC Group, Mayo Clinic, Rochester, MN USA
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN USA
- University of Utah ICPCG Group, University of Utah School of Medicine, Salt Lake City, UT USA
- Department of Medicine, University of Utah School of Medicine, Salt Lake City, UT USA
- Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, MI USA
- Fred Hutchinson Cancer Research Center (FHCRC) ICPCG Group, Seattle, WA USA
- Division of Public Health Sciences, FHCRC, Seattle, WA USA
- Cancer Genetics Branch, National Human Genome Research Institute, NIH, Bethesda, MD USA
- Johns Hopkins University ICPCG Group, Baltimore, MD USA
- Department of Urology, Johns Hopkins Medical Institutions, Johns Hopkins Hospital, Marburg 115, 600 North Wolfe Street, Baltimore, MD 21287 USA
- University of Ulm ICPCG Group, University of Ulm, Ulm, Germany
- Department of Urology, University of Ulm, Ulm, Germany
- Institute of Human Genetics, University of Ulm, Ulm, Germany
- University of Tampere ICPCG Group, University of Tampere and Fimlab Laboratories, Tampere, Finland
- Institute of Biomedical Technology/BioMediTech, University of Tampere and Fimlab Laboratories, Tampere, Finland
- Department of Medical Biochemistry and Genetics, University of Turku, Turku, Finland
- Department of Urology, Tampere University Hospital, Tampere, Finland
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN USA
- CeRePP ICPCG Group, Paris, France
- Department of Urology, APHP, Hospital Tenon, Paris, France
- CeRePP UPMC University, Paris, France
- Karolinska ICPCG Group, Karolinska Institutet, Stockholm, Sweden
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- ACTANE (Anglo/Canadian/Texan/Australian/Norwegian/EU Biomed) Consortium ICPCG Group, Surrey, UK
- Institute of Cancer Research and Royal Marsden NHS Foundation Trust, Surrey, UK
- Strangeways Laboratory, Department of Oncology, Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, UK
- BC/CA/HI ICPCG Group, Stanford School of Medicine, Stanford, CA USA
- Department of Health Research and Policy, Stanford School of Medicine, Stanford, CA USA
- Stanford Comprehensive Cancer Center, Stanford School of Medicine, Stanford, CA USA
- Department of Urology and Department of Biochemistry and Molecular Biology, University of Southern California, Los Angeles, CA USA
- Cancer Epidemiology Centre, Cancer Council Victoria, Melbourne, Australia
- Centre for Molecular, Environmental, Genetic and Analytical Epidemiology, University of Melbourne, Melbourne, Australia
- Northwestern University ICPCG Group, Chicago, IL USA
- Northwestern University Feinberg School of Medicine, Chicago, IL USA
- Louisiana State University ICPCG Group, New Orleans, LA USA
- Department of Genetics, Louisiana State University Health Sciences Center, New Orleans, LA USA
- Program in Cancer Genetics, Departments of Oncology and Human Genetics, McGill University, Montreal, QC Canada
- Research Institute of the McGill University Health Centre, Montreal, QC Canada
- The Norwegian Radium Hospital, Oslo, Norway
- African American Hereditary Prostate Cancer ICPCG Group, Detroit, MI USA
- Karmanos Cancer Institute, Wayne State University, Detroit, MI USA
- Inherited Disease Research Branch, National Human Genome Research Institute, NIH, Bethesda, MD USA
- Genetic Basis of Human Disease Research Division, Translational Genomics Research Institute, Phoenix, AZ USA
- National Cancer Institute, NIH, Bethesda, MD USA
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9
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Wiley KE, Zuo Y, Macartney KK, McIntyre PB. Sources of pertussis infection in young infants: a review of key evidence informing targeting of the cocoon strategy. Vaccine 2012. [PMID: 23200883 DOI: 10.1016/j.vaccine.2012.11.052] [Citation(s) in RCA: 142] [Impact Index Per Article: 11.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND The relative contribution of different categories of contact in transmitting pertussis to very young infants, who experience the most severe morbidity, is the most important single factor determining the likely benefit of pertussis vaccination of their close contacts (the "cocooning" strategy). OBJECTIVE To identify, evaluate the quality of and summarise existing data on potential sources of infant pertussis infection in high income countries, focussing on infants under 6 months old. DATA SOURCES Online databases MEDLINE and EMBASE. Additional studies were identified from the reference lists of relevant articles. Study selection and analysis: Study quality was evaluated by standardised criteria, based on the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement. Pooled estimates of the proportion of pertussis cases attributable to various contact sources were calculated using data from the highest quality studies. RESULTS Nine studies met the inclusion criteria; seven included data on contacts of hospitalised infants less than 6 months old. Case definitions and methods of contact ascertainment were variable. Most identified sources were from the household, of which 39% (95%CI 33-45%) were mothers, 16% (95%CI 12-21%) fathers, and 5% (95%CI 2-10%) grandparents. Estimates for siblings (16-43%) and non-household contacts (4-22%) were more heterogeneous. For 32-52% of infant cases, no source was identified. Asymptomatic pertussis infection was found in 8-13% of contacts evaluated. CONCLUSIONS These data suggest that the greatest potential impact of pertussis vaccination of adults to prevent severe disease in young infants comes from vaccinating mothers, followed by fathers, with grandparents having a minor role. Siblings varied in importance and, given recent data regarding waning immunity in vaccinated children, need further study. Non-household sources are also well documented, highlighting the potential limitations of the cocoon strategy to prevent severe infant disease.
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Affiliation(s)
- K E Wiley
- The National Centre for Immunisation Research and Surveillance, The Children's Hospital at Westmead, Westmead, 2145 Australia.
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10
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Jin G, Lu L, Cooney KA, Ray AM, Zuhlke KA, Lange EM, Cannon-Albright LA, Camp NJ, Teerlink CC, FitzGerald LM, Stanford JL, Wiley KE, Isaacs SD, Walsh PC, Foulkes WD, Giles GG, Hopper JL, Severi G, Eeles R, Easton D, Kote-Jarai Z, Guy M, Rinckleb A, Maier C, Vogel W, Cancel-Tassin G, Egrot C, Cussenot O, Thibodeau SN, McDonnell SK, Schaid DJ, Wiklund F, Grönberg H, Emanuelsson M, Whittemore AS, Oakley-Girvan I, Hsieh CL, Wahlfors T, Tammela T, Schleutker J, Catalona WJ, Zheng SL, Ostrander EA, Isaacs WB, Xu J. Validation of prostate cancer risk-related loci identified from genome-wide association studies using family-based association analysis: evidence from the International Consortium for Prostate Cancer Genetics (ICPCG). Hum Genet 2012; 131:1095-103. [PMID: 22198737 PMCID: PMC3535428 DOI: 10.1007/s00439-011-1136-0] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2011] [Accepted: 12/14/2011] [Indexed: 01/06/2023]
Abstract
Multiple prostate cancer (PCa) risk-related loci have been discovered by genome-wide association studies (GWAS) based on case-control designs. However, GWAS findings may be confounded by population stratification if cases and controls are inadvertently drawn from different genetic backgrounds. In addition, since these loci were identified in cases with predominantly sporadic disease, little is known about their relationships with hereditary prostate cancer (HPC). The association between seventeen reported PCa susceptibility loci was evaluated with a family-based association test using 1,979 hereditary PCa families of European descent collected by members of the International Consortium for Prostate Cancer Genetics, with a total of 5,730 affected men. The risk alleles for 8 of the 17 loci were significantly over-transmitted from parents to affected offspring, including SNPs residing in 8q24 (regions 1, 2 and 3), 10q11, 11q13, 17q12 (region 1), 17q24 and Xp11. In subgroup analyses, three loci, at 8q24 (regions 1 and 2) plus 17q12, were significantly over-transmitted in hereditary PCa families with five or more affected members, while loci at 3p12, 8q24 (region 2), 11q13, 17q12 (region 1), 17q24 and Xp11 were significantly over-transmitted in HPC families with an average age of diagnosis at 65 years or less. Our results indicate that at least a subset of PCa risk-related loci identified by case-control GWAS are also associated with disease risk in HPC families.
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Affiliation(s)
- Guangfu Jin
- Data Coordinating Center for the ICPCG and Center for Cancer Genomics, Wake Forest University School of Medicine, Winston-Salem NC 27157, USA
| | - Lingyi Lu
- Data Coordinating Center for the ICPCG and Center for Cancer Genomics, Wake Forest University School of Medicine, Winston-Salem NC 27157, USA
| | - Kathleen A. Cooney
- Departments of Internal Medicine and Urology, Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, MI 48109, USA. University of Michigan ICPCG Group, Ann Arbor, USA
| | - Anna M. Ray
- Departments of Internal Medicine and Urology, Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, MI 48109, USA. University of Michigan ICPCG Group, Ann Arbor, USA
| | - Kimberly A. Zuhlke
- Departments of Internal Medicine and Urology, Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, MI 48109, USA. University of Michigan ICPCG Group, Ann Arbor, USA
| | - Ethan M. Lange
- Departments of Genetics and Biostatistics, University of North Carolina, Chapel Hill, NC 27599, USA
| | - Lisa A. Cannon-Albright
- University of Utah ICPCG Group, Division of Genetic Epidemiology, Department of Medicine, University of Utah School of Medicine, Salt Lake City, UT 84108, USA. George E. Wahlen Department of Veterans Affairs Medical Center, Salt Lake City, UT 84148, USA. University of Michigan ICPCG Group, Ann Arbor, USA
| | - Nicola J. Camp
- University of Utah ICPCG Group, Division of Genetic Epidemiology, Department of Medicine, University of Utah School of Medicine, Salt Lake City, UT 84108, USA
| | - Craig C. Teerlink
- University of Utah ICPCG Group, Division of Genetic Epidemiology, Department of Medicine, University of Utah School of Medicine, Salt Lake City, UT 84108, USA
| | - Liesel M. FitzGerald
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center (FHCRC), Seattle, WA 98195, USA
| | - Janet L. Stanford
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center (FHCRC), Seattle, WA 98195, USA
| | - Kathleen E. Wiley
- Johns Hopkins University ICPCG Group, Department of Urology, Johns Hopkins Medical Institutions, Baltimore, MD 21287, USA
| | - Sarah D. Isaacs
- Johns Hopkins University ICPCG Group, Department of Urology, Johns Hopkins Medical Institutions, Baltimore, MD 21287, USA
| | - Patrick C. Walsh
- Johns Hopkins University ICPCG Group, Department of Urology, Johns Hopkins Medical Institutions, Baltimore, MD 21287, USA
| | - William D. Foulkes
- Program in Cancer Genetics, McGill University, Montreal, QC H3T 1E2, Canada
| | - Graham G. Giles
- Cancer Epidemiology Centre, Cancer Council Victoria, Carlton, VIC 3053, Australia. Centre for Molecular, Environmental, Genetic, and Analytic Epidemiology, The University of Melbourne, Melbourne, VIC 3010, Australia
| | - John L. Hopper
- Centre for Molecular, Environmental, Genetic, and Analytic Epidemiology, The University of Melbourne, Melbourne, VIC 3010, Australia
| | - Gianluca Severi
- Cancer Epidemiology Centre, Cancer Council Victoria, Carlton, VIC 3053, Australia. Centre for Molecular, Environmental, Genetic, and Analytic Epidemiology, The University of Melbourne, Melbourne, VIC 3010, Australia
| | - Ros Eeles
- The Institute of Cancer Research, Sutton, Surrey SM2 5NG, UK
| | - Doug Easton
- Departments of Public Health and Primary Care and Oncology, University of Cambridge, Cambridge CB1 8RN, UK
| | | | - Michelle Guy
- The Institute of Cancer Research, Sutton, Surrey SM2 5NG, UK
| | - Antje Rinckleb
- Department of Urology, University of Ulm, Ulm, Germany. Institute for Human Genetics, University of Ulm, Ulm, Germany
| | - Christiane Maier
- Department of Urology, University of Ulm, Ulm, Germany. Institute for Human Genetics, University of Ulm, Ulm, Germany
| | - Walther Vogel
- Institute for Human Genetics, University of Ulm, Ulm, Germany
| | - Geraldine Cancel-Tassin
- CeRePP ICPCG Group, Hopital Tenon, Assistance Publique-Hopitaux de Paris, 75020 Paris, France
| | - Christophe Egrot
- CeRePP ICPCG Group, Hopital Tenon, Assistance Publique-Hopitaux de Paris, 75020 Paris, France
| | - Olivier Cussenot
- CeRePP ICPCG Group, Hopital Tenon, Assistance Publique-Hopitaux de Paris, 75020 Paris, France
| | | | | | - Daniel J. Schaid
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN 55905, USA
| | - Fredrik Wiklund
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Henrik Grönberg
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | | | - Alice S. Whittemore
- Department of Health Research and Policy, Stanford School of Medicine, Stanford, CA 94305, USA
| | - Ingrid Oakley-Girvan
- Cancer Prevention Institute of California, 2201 Walnut Ave Suite 300, Fremont, CA 94538, USA. Department of Health Research and Policy, Stanford Cancer Institute, Stanford School of Medicine, Stanford, CA 94305, USA
| | - Chih-Lin Hsieh
- Department of Urology, University of Southern California, Los Angeles, CA 90089, USA. Department of Biochemistry and Molecular Biology, University of Southern California, Los Angeles, CA 90089, USA
| | - Tiina Wahlfors
- Institute of Biomedical Technology, University of Tampere, BioMediTech, Tampere, Finland. Centre for Laboratory Medicine, Tampere University Hospital, 33520 Tampere, Finland
| | - Teuvo Tammela
- Department of Urology, University of Tampere and Tampere University Hospital, 33520 Tampere, Finland
| | - Johanna Schleutker
- Department of Medical Biochemistry and Genetics, University of Turku, 20014 Turku, Finland
| | - William J. Catalona
- Northwestern University ICPCG Group, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
| | - S. Lilly Zheng
- Data Coordinating Center for the ICPCG and Center for Cancer Genomics, Wake Forest University School of Medicine, Winston-Salem NC 27157, USA
| | - Elaine A. Ostrander
- Cancer Genetics Branch, National Human Genome Research Institute (NHGRI), National Institutes of Health (NIH), Bethesda, MD 20892, USA
| | - William B. Isaacs
- Johns Hopkins University ICPCG Group, Department of Urology, Johns Hopkins Medical Institutions, Baltimore, MD 21287, USA
| | - Jianfeng Xu
- Data Coordinating Center for the ICPCG and Center for Cancer Genomics, Wake Forest University School of Medicine, Winston-Salem NC 27157, USA
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11
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Bailey-Wilson JE, Childs EJ, Cropp CD, Schaid DJ, Xu J, Camp NJ, Cannon-Albright LA, Farnham JM, George A, Powell I, Carpten JD, Giles GG, Hopper JL, Severi G, English DR, Foulkes WD, Mæhle L, Møller P, Eeles R, Easton D, Guy M, Edwards S, Badzioch MD, Whittemore AS, Oakley-Girvan I, Hsieh CL, Dimitrov L, Stanford JL, Karyadi DM, Deutsch K, McIntosh L, Ostrander EA, Wiley KE, Isaacs SD, Walsh PC, Thibodeau SN, McDonnell SK, Hebbring S, Lange EM, Cooney KA, Tammela TLJ, Schleutker J, Maier C, Bochum S, Hoegel J, Grönberg H, Wiklund F, Emanuelsson M, Cancel-Tassin G, Valeri A, Cussenot O, Isaacs WB. Analysis of Xq27-28 linkage in the international consortium for prostate cancer genetics (ICPCG) families. BMC Med Genet 2012; 13:46. [PMID: 22712434 PMCID: PMC3495053 DOI: 10.1186/1471-2350-13-46] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/26/2011] [Accepted: 04/30/2012] [Indexed: 11/20/2022]
Abstract
BACKGROUND Genetic variants are likely to contribute to a portion of prostate cancer risk. Full elucidation of the genetic etiology of prostate cancer is difficult because of incomplete penetrance and genetic and phenotypic heterogeneity. Current evidence suggests that genetic linkage to prostate cancer has been found on several chromosomes including the X; however, identification of causative genes has been elusive. METHODS Parametric and non-parametric linkage analyses were performed using 26 microsatellite markers in each of 11 groups of multiple-case prostate cancer families from the International Consortium for Prostate Cancer Genetics (ICPCG). Meta-analyses of the resultant family-specific linkage statistics across the entire 1,323 families and in several predefined subsets were then performed. RESULTS Meta-analyses of linkage statistics resulted in a maximum parametric heterogeneity lod score (HLOD) of 1.28, and an allele-sharing lod score (LOD) of 2.0 in favor of linkage to Xq27-q28 at 138 cM. In subset analyses, families with average age at onset less than 65 years exhibited a maximum HLOD of 1.8 (at 138 cM) versus a maximum regional HLOD of only 0.32 in families with average age at onset of 65 years or older. Surprisingly, the subset of families with only 2-3 affected men and some evidence of male-to-male transmission of prostate cancer gave the strongest evidence of linkage to the region (HLOD = 3.24, 134 cM). For this subset, the HLOD was slightly increased (HLOD = 3.47 at 134 cM) when families used in the original published report of linkage to Xq27-28 were excluded. CONCLUSIONS Although there was not strong support for linkage to the Xq27-28 region in the complete set of families, the subset of families with earlier age at onset exhibited more evidence of linkage than families with later onset of disease. A subset of families with 2-3 affected individuals and with some evidence of male to male disease transmission showed stronger linkage signals. Our results suggest that the genetic basis for prostate cancer in our families is much more complex than a single susceptibility locus on the X chromosome, and that future explorations of the Xq27-28 region should focus on the subset of families identified here with the strongest evidence of linkage to this region.
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Affiliation(s)
- Joan E Bailey-Wilson
- Inherited Disease Research Branch, National Human Genome Research Institute, National Institutes of Health, Baltimore, MD, 21224, USA
- African American Hereditary Prostate Cancer ICPCG Group, Phoenix, AZ, USA
- University of Tampere ICPCG Group, Tampere, Finland
| | - Erica J Childs
- Inherited Disease Research Branch, National Human Genome Research Institute, National Institutes of Health, Baltimore, MD, 21224, USA
- Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Cheryl D Cropp
- Inherited Disease Research Branch, National Human Genome Research Institute, National Institutes of Health, Baltimore, MD, 21224, USA
| | - Daniel J Schaid
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN, 55905, USA
| | - Jianfeng Xu
- Data Coordinating Center for the ICPCG and Center for Human Genomics, Wake Forest University School of Medicine, Winston-Salem, NC, 27157, USA
| | - Nicola J Camp
- University of Utah ICPCG Group and Division of Genetic Epidemiology, University of Utah School of Medicine, Salt Lake City, UT, USA
| | - Lisa A Cannon-Albright
- University of Utah ICPCG Group and Division of Genetic Epidemiology, University of Utah School of Medicine, Salt Lake City, UT, USA
- George E. Wahlen Department of Veterans Affairs Medical Center, Salt Lake City, UT, USA
| | - James M Farnham
- University of Utah ICPCG Group and Division of Genetic Epidemiology, University of Utah School of Medicine, Salt Lake City, UT, USA
| | - Asha George
- Inherited Disease Research Branch, National Human Genome Research Institute, National Institutes of Health, Baltimore, MD, 21224, USA
- African American Hereditary Prostate Cancer ICPCG Group, Phoenix, AZ, USA
- Fox Chase Cancer Center, Philadelphia, PA, USA
| | - Isaac Powell
- African American Hereditary Prostate Cancer ICPCG Group, Phoenix, AZ, USA
- Karmanos Cancer Institute, Wayne State University, Detroit, MI, USA
| | - John D Carpten
- African American Hereditary Prostate Cancer ICPCG Group, Phoenix, AZ, USA
- Translational Genomics Research Institute, Genetic Basis of Human Disease Research Division, Phoenix, AZ, USA
| | - Graham G Giles
- ACTANE consortium
- Cancer Epidemiology Centre, Cancer Council Victoria, Melbourne, Australia
- Centre for Molecular, Environmental, Genetic and Analytic Epidemiology, School of Population Health, The University of Melbourne, Melbourne, Australia
| | - John L Hopper
- ACTANE consortium
- Centre for Molecular, Environmental, Genetic and Analytic Epidemiology, School of Population Health, The University of Melbourne, Melbourne, Australia
| | - Gianluca Severi
- ACTANE consortium
- Cancer Epidemiology Centre, Cancer Council Victoria, Melbourne, Australia
- Centre for Molecular, Environmental, Genetic and Analytic Epidemiology, School of Population Health, The University of Melbourne, Melbourne, Australia
| | - Dallas R English
- ACTANE consortium
- Cancer Epidemiology Centre, Cancer Council Victoria, Melbourne, Australia
- Centre for Molecular, Environmental, Genetic and Analytic Epidemiology, School of Population Health, The University of Melbourne, Melbourne, Australia
| | - William D Foulkes
- ACTANE consortium
- Program in Cancer Genetics, McGill University, Montreal, QC, Canada
| | - Lovise Mæhle
- ACTANE consortium
- Department of Medical Genetics, Oslo University Hospital, The Norwegian Radium Hospital, Oslo,Norway
| | - Pål Møller
- ACTANE consortium
- Department of Medical Genetics, Oslo University Hospital, The Norwegian Radium Hospital, Oslo,Norway
| | - Rosalind Eeles
- ACTANE consortium
- Institute of Cancer Research and Royal Marsden NHS Foundation Trust, Surrey, UK
| | - Douglas Easton
- ACTANE consortium
- Cancer Research UK Genetic Epidemiology Unit, Cambridge, UK
| | - Michelle Guy
- ACTANE consortium
- Institute of Cancer Research and Royal Marsden NHS Foundation Trust, Surrey, UK
| | - Steve Edwards
- ACTANE consortium
- Institute of Cancer Research and Royal Marsden NHS Foundation Trust, Surrey, UK
| | - Michael D Badzioch
- ACTANE consortium
- Division of Medical Genetics, University of Washington Medical Center, Seattle, WA, USA
| | - Alice S Whittemore
- BC/CA/HI ICPCG Group, Stanford, CA, USA
- Department of Health Research and Policy, Stanford School of Medicine, Stanford, CA, USA
- Stanford Cancer Institute, Stanford School of Medicine, Stanford, CA, USA
| | - Ingrid Oakley-Girvan
- BC/CA/HI ICPCG Group, Stanford, CA, USA
- Department of Health Research and Policy, Stanford School of Medicine, Stanford, CA, USA
- Stanford Cancer Institute, Stanford School of Medicine, Stanford, CA, USA
- Cancer Prevention Institute of California
| | - Chih-Lin Hsieh
- BC/CA/HI ICPCG Group, Stanford, CA, USA
- Department of Urology and Department of Biochemistry and Molecular Biology, University of Southern California, Los Ageles, CA, USA
| | - Latchezar Dimitrov
- Data Coordinating Center for the ICPCG and Center for Human Genomics, Wake Forest University School of Medicine, Winston-Salem, NC, 27157, USA
| | - Janet L Stanford
- FHCRC ICPCG Group, Seattle, WA, USA
- Fred Hutchinson Cancer Research Center, Division of Public Health Sciences, Seattle, WA, USA
| | - Danielle M Karyadi
- FHCRC ICPCG Group, Seattle, WA, USA
- Cancer Genetics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Kerry Deutsch
- FHCRC ICPCG Group, Seattle, WA, USA
- Institute for Systems Biology, Seattle, WA, USA
| | - Laura McIntosh
- FHCRC ICPCG Group, Seattle, WA, USA
- Fred Hutchinson Cancer Research Center, Division of Public Health Sciences, Seattle, WA, USA
| | - Elaine A Ostrander
- FHCRC ICPCG Group, Seattle, WA, USA
- Cancer Genetics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Kathleen E Wiley
- Johns Hopkins University ICPCG Group and Department of Urology, Johns Hopkins Medical Institutions, Baltimore, MD, USA
| | - Sarah D Isaacs
- Johns Hopkins University ICPCG Group and Department of Urology, Johns Hopkins Medical Institutions, Baltimore, MD, USA
| | - Patrick C Walsh
- Johns Hopkins University ICPCG Group and Department of Urology, Johns Hopkins Medical Institutions, Baltimore, MD, USA
| | | | | | | | - Ethan M Lange
- University of Michigan ICPCG Group, Ann Arbor, MI, USA
- Department of Genetics, University of North Carolina, Chapel Hill, NC, USA
| | - Kathleen A Cooney
- University of Michigan ICPCG Group, Ann Arbor, MI, USA
- University of Michigan, Ann Arbor, MI, USA
| | - Teuvo LJ Tammela
- University of Tampere ICPCG Group, Tampere, Finland
- Institute of Biomedical Technology, University of Tampere, Tampere, Finland
- Centre for Laboratory Medicine and Department of Urology, Tampere University Hospital, Tampere, Finland
| | - Johanna Schleutker
- University of Tampere ICPCG Group, Tampere, Finland
- Institute of Biomedical Technology, University of Tampere, Tampere, Finland
- Centre for Laboratory Medicine and Department of Urology, Tampere University Hospital, Tampere, Finland
| | - Christiane Maier
- University of Ulm ICPCG Group, Ulm, Germany
- Dept of Urology, University of Ulm, Ulm, Germany
- Institute of Human Genetics, University of Ulm, Ulm, Germany
| | - Sylvia Bochum
- University of Ulm ICPCG Group, Ulm, Germany
- Institute of Human Genetics, University of Ulm, Ulm, Germany
| | - Josef Hoegel
- University of Ulm ICPCG Group, Ulm, Germany
- Institute of Human Genetics, University of Ulm, Ulm, Germany
| | - Henrik Grönberg
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Fredrik Wiklund
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | | | | | | | - Olivier Cussenot
- CeRePP ICPCG Group, 75020, Paris, France
- Hopital Tenon, Assistance Publique-Hopitaux de Paris, 75020, Paris, France
| | - William B Isaacs
- Johns Hopkins University ICPCG Group and Department of Urology, Johns Hopkins Medical Institutions, Baltimore, MD, USA
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12
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Lu L, Cancel-Tassin G, Valeri A, Cussenot O, Lange EM, Cooney KA, Farnham JM, Camp NJ, Cannon-Albright LA, Tammela TL, Schleutker J, Hoegel J, Herkommer K, Maier C, Vogel W, Wiklund F, Emanuelsson M, Grönberg H, Wiley KE, Isaacs SD, Walsh PC, Helfand BT, Kan D, Catalona WJ, Stanford JL, FitzGerald LM, Johanneson B, Deutsch K, McIntosh L, Ostrander EA, Thibodeau SN, McDonnell SK, Hebbring S, Schaid DJ, Whittemore AS, Oakley-Girvan I, Hsieh CL, Powell I, Bailey-Wilson JE, Carpten JD, Seminara D, Zheng SL, Xu J, Giles GG, Severi G, Hopper JL, English DR, Foulkes WD, Maehle L, Moller P, Badzioch MD, Edwards S, Guy M, Eeles R, Easton D, Isaacs WB. Chromosomes 4 and 8 implicated in a genome wide SNP linkage scan of 762 prostate cancer families collected by the ICPCG. Prostate 2012; 72:410-26. [PMID: 21748754 PMCID: PMC3568777 DOI: 10.1002/pros.21443] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/20/2011] [Accepted: 05/25/2011] [Indexed: 01/30/2023]
Abstract
BACKGROUND In spite of intensive efforts, understanding of the genetic aspects of familial prostate cancer (PC) remains largely incomplete. In a previous microsatellite-based linkage scan of 1,233 PC families, we identified suggestive evidence for linkage (i.e., LOD ≥ 1.86) at 5q12, 15q11, 17q21, 22q12, and two loci on 8p, with additional regions implicated in subsets of families defined by age at diagnosis, disease aggressiveness, or number of affected members. METHODS In an attempt to replicate these findings and increase linkage resolution, we used the Illumina 6000 SNP linkage panel to perform a genome-wide linkage scan of an independent set of 762 multiplex PC families, collected by 11 International Consortium for Prostate Cancer Genetics (ICPCG) groups. RESULTS Of the regions identified previously, modest evidence of replication was observed only on the short arm of chromosome 8, where HLOD scores of 1.63 and 3.60 were observed in the complete set of families and families with young average age at diagnosis, respectively. The most significant linkage signals found in the complete set of families were observed across a broad, 37 cM interval on 4q13-25, with LOD scores ranging from 2.02 to 2.62, increasing to 4.50 in families with older average age at diagnosis. In families with multiple cases presenting with more aggressive disease, LOD scores over 3.0 were observed at 8q24 in the vicinity of previously identified common PC risk variants, as well as MYC, an important gene in PC biology. CONCLUSIONS These results will be useful in prioritizing future susceptibility gene discovery efforts in this common cancer.
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Affiliation(s)
- Lingyi Lu
- Data Coordinating Center for the ICPCG and Center for Human Genomics, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Geraldine Cancel-Tassin
- CeRePP ICPCG Group, Hopital Tenon, Assistance publique-Hopitaux de Paris, 75020 Paris, France
| | - Antoine Valeri
- CeRePP ICPCG Group, Hopital Tenon, Assistance publique-Hopitaux de Paris, 75020 Paris, France
| | - Olivier Cussenot
- CeRePP ICPCG Group, Hopital Tenon, Assistance publique-Hopitaux de Paris, 75020 Paris, France
| | - Ethan M. Lange
- University of Michigan ICPCG Group
- Department of Genetics, University of North Carolina, Chapel Hill, NC, USA
| | - Kathleen A. Cooney
- University of Michigan ICPCG Group
- Department of Medicine, University of Michigan, Ann Arbor, MI, USA
| | - James M. Farnham
- University of Utah ICPCG Group, Division of Genetic Epidemiology, University of Utah School of Medicine, Salt Lake City, UT, USA
| | - Nicola J. Camp
- University of Utah ICPCG Group, Division of Genetic Epidemiology, University of Utah School of Medicine, Salt Lake City, UT, USA
| | - Lisa A. Cannon-Albright
- University of Utah ICPCG Group, Division of Genetic Epidemiology, University of Utah School of Medicine, Salt Lake City, UT, USA
| | - Teuvo L.J. Tammela
- University of Tampere ICPCG Group, University of Tampere and Tampere University Hospital, Tampere, Finland
| | - Johanna Schleutker
- University of Tampere ICPCG Group, University of Tampere and Tampere University Hospital, Tampere, Finland
| | - Josef Hoegel
- University of Ulm ICPCG Group
- Institut fuer Humangenetik, Universitaet Ulm, Germany
| | - Kathleen Herkommer
- University of Ulm ICPCG Group
- Urologische Klinik, Universität Ulm, Germany
- Urologische Klinik rechts der Isar, Technische Universitaet Muenchen, Germany
| | - Christiane Maier
- University of Ulm ICPCG Group
- Institut fuer Humangenetik, Universitaet Ulm, Germany
| | - Walther Vogel
- University of Ulm ICPCG Group
- Institut fuer Humangenetik, Universitaet Ulm, Germany
| | - Fredrik Wiklund
- Karolinska Institute ICPCG Group
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Monica Emanuelsson
- Karolinska Institute ICPCG Group
- Oncologic Centre, Umeå University, Umeå, Sweden
| | - Henrik Grönberg
- Karolinska Institute ICPCG Group
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Kathleen E. Wiley
- Johns Hopkins University ICPCG Group and Department of Urology, Johns Hopkins Medical Institutions, Baltimore, MD, USA
| | - Sarah D. Isaacs
- Johns Hopkins University ICPCG Group and Department of Urology, Johns Hopkins Medical Institutions, Baltimore, MD, USA
| | - Patrick C. Walsh
- Johns Hopkins University ICPCG Group and Department of Urology, Johns Hopkins Medical Institutions, Baltimore, MD, USA
| | - Brian T. Helfand
- Northwestern University ICPCG group, Department of Urology, Northwestern University Chicago, IL USA
| | - Donghui Kan
- Northwestern University ICPCG group, Department of Urology, Northwestern University Chicago, IL USA
| | - William J. Catalona
- Northwestern University ICPCG group, Department of Urology, Northwestern University Chicago, IL USA
| | - Janet L. Stanford
- FHCRC ICPCG Group
- Fred Hutchinson Cancer Research Center, Division of Public Health Sciences, Seattle, WA, USA
| | - Liesel M. FitzGerald
- FHCRC ICPCG Group
- Fred Hutchinson Cancer Research Center, Division of Public Health Sciences, Seattle, WA, USA
| | - Bo Johanneson
- FHCRC ICPCG Group
- Cancer Genetics Branch, NHGRI, National Institutes of Health, Bethesda, MD, USA
| | - Kerry Deutsch
- FHCRC ICPCG Group
- Institute for Systems Biology, Seattle, WA, USA
| | - Laura McIntosh
- FHCRC ICPCG Group
- Fred Hutchinson Cancer Research Center, Division of Public Health Sciences, Seattle, WA, USA
| | - Elaine A. Ostrander
- FHCRC ICPCG Group
- Cancer Genetics Branch, NHGRI, National Institutes of Health, Bethesda, MD, USA
| | | | | | | | | | - Alice S. Whittemore
- BC/CA/HI ICPCG Group
- Department of Health Research and Policy, Stanford School of Medicine, CA, USA
- Stanford Comprehensive Cancer Center, Stanford School of Medicine, CA, USA
| | - Ingrid Oakley-Girvan
- BC/CA/HI ICPCG Group
- Stanford Comprehensive Cancer Center, Stanford School of Medicine, CA, USA
| | - Chih-Lin Hsieh
- BC/CA/HI ICPCG Group
- Department of Urology and Department of Biochemistry and Molecular Biology, University of Southern California, CA, USA
| | - Isaac Powell
- African American Hereditary Prostate Cancer ICPCG Group
- Karmanos Cancer Institute, Wayne State University, Detroit, MI, USA
| | - Joan E. Bailey-Wilson
- African American Hereditary Prostate Cancer ICPCG Group
- National Human Genome Research Institute, NIH, Bethesda, MD, USA
| | - John D. Carpten
- African American Hereditary Prostate Cancer ICPCG Group
- Translational Genomics Research Institute, Genetic Basis of Human Disease Research Division, Phoenix, AZ, USA
| | | | - S. Lilly Zheng
- Data Coordinating Center for the ICPCG and Center for Human Genomics, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Jianfeng Xu
- Data Coordinating Center for the ICPCG and Center for Human Genomics, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Graham G. Giles
- ACTANE Consortium ICPCG Group
- Cancer Epidemiology Centre, The Cancer Council Victoria, Melbourne, Australia
| | - Gianluca Severi
- ACTANE Consortium ICPCG Group
- Cancer Epidemiology Centre, The Cancer Council Victoria, Melbourne, Australia
| | - John L. Hopper
- ACTANE Consortium ICPCG Group
- Centre for Molecular, Environmental, Genetic and Analytic Epidemiology, School of Population Health, The University of Melbourne, Melbourne, Australia
| | - Dallas R. English
- ACTANE Consortium ICPCG Group
- Centre for Molecular, Environmental, Genetic and Analytic Epidemiology, School of Population Health, The University of Melbourne, Melbourne, Australia
| | - William D. Foulkes
- ACTANE Consortium ICPCG Group
- Program in Cancer Genetics, McGill University, Montreal, Quebec, Canada
| | - Lovise Maehle
- ACTANE Consortium ICPCG Group
- The Norwegian Radium Hospital, Oslo, Norway
| | - Pal Moller
- ACTANE Consortium ICPCG Group
- The Norwegian Radium Hospital, Oslo, Norway
| | - Michael D. Badzioch
- ACTANE Consortium ICPCG Group
- Division of Medical Genetics, University of Washington Medical Center, Seattle, WA, USA
| | - Steve Edwards
- ACTANE Consortium ICPCG Group
- Institute of Cancer Research, Royal Marsden NHS Foundation Trust, Surrey, UK
| | - Michelle Guy
- ACTANE Consortium ICPCG Group
- Institute of Cancer Research, Royal Marsden NHS Foundation Trust, Surrey, UK
| | - Ros Eeles
- ACTANE Consortium ICPCG Group
- Institute of Cancer Research, Royal Marsden NHS Foundation Trust, Surrey, UK
| | - Douglas Easton
- ACTANE Consortium ICPCG Group
- Cancer Research UK Genetic Epidemiology Unit, Cambridge, UK
| | - William B. Isaacs
- Fred Hutchinson Cancer Research Center, Division of Public Health Sciences, Seattle, WA, USA
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13
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Ewing CM, Ray AM, Lange EM, Zuhlke KA, Robbins CM, Tembe WD, Wiley KE, Isaacs SD, Johng D, Wang Y, Bizon C, Yan G, Gielzak M, Partin AW, Shanmugam V, Izatt T, Sinari S, Craig DW, Zheng SL, Walsh PC, Montie JE, Xu J, Carpten JD, Isaacs WB, Cooney KA. Germline mutations in HOXB13 and prostate-cancer risk. N Engl J Med 2012; 366:141-9. [PMID: 22236224 PMCID: PMC3779870 DOI: 10.1056/nejmoa1110000] [Citation(s) in RCA: 468] [Impact Index Per Article: 39.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
BACKGROUND Family history is a significant risk factor for prostate cancer, although the molecular basis for this association is poorly understood. Linkage studies have implicated chromosome 17q21-22 as a possible location of a prostate-cancer susceptibility gene. METHODS We screened more than 200 genes in the 17q21-22 region by sequencing germline DNA from 94 unrelated patients with prostate cancer from families selected for linkage to the candidate region. We tested family members, additional case subjects, and control subjects to characterize the frequency of the identified mutations. RESULTS Probands from four families were discovered to have a rare but recurrent mutation (G84E) in HOXB13 (rs138213197), a homeobox transcription factor gene that is important in prostate development. All 18 men with prostate cancer and available DNA in these four families carried the mutation. The carrier rate of the G84E mutation was increased by a factor of approximately 20 in 5083 unrelated subjects of European descent who had prostate cancer, with the mutation found in 72 subjects (1.4%), as compared with 1 in 1401 control subjects (0.1%) (P=8.5x10(-7)). The mutation was significantly more common in men with early-onset, familial prostate cancer (3.1%) than in those with late-onset, nonfamilial prostate cancer (0.6%) (P=2.0x10(-6)). CONCLUSIONS The novel HOXB13 G84E variant is associated with a significantly increased risk of hereditary prostate cancer. Although the variant accounts for a small fraction of all prostate cancers, this finding has implications for prostate-cancer risk assessment and may provide new mechanistic insights into this common cancer. (Funded by the National Institutes of Health and others.).
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Affiliation(s)
- Charles M Ewing
- Johns Hopkins University and the James Buchanan Brady Urological Institute, Baltimore, USA
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14
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Jin G, Sun J, Isaacs SD, Wiley KE, Kim ST, Chu LW, Zhang Z, Zhao H, Zheng SL, Isaacs WB, Xu J. Human polymorphisms at long non-coding RNAs (lncRNAs) and association with prostate cancer risk. Carcinogenesis 2011; 32:1655-9. [PMID: 21856995 DOI: 10.1093/carcin/bgr187] [Citation(s) in RCA: 111] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022] Open
Abstract
Long non-coding RNAs (lncRNAs), representing a large proportion of non-coding transcripts across the human genome, are evolutionally conserved and biologically functional. At least one-third of the phenotype-related loci identified by genome-wide association studies (GWAS) are mapped to non-coding intervals. However, the relationships between phenotype-related loci and lncRNAs are largely unknown. Utilizing the 1000 Genomes data, we compared single-nucleotide polymorphisms (SNPs) within the sequences of lncRNA and protein-coding genes as defined in the Ensembl database. We further annotated the phenotype-related SNPs reported by GWAS at lncRNA intervals. Because prostate cancer (PCa) risk-related loci were enriched in lncRNAs, we then performed meta-analysis of two existing GWAS for discovery and an additional sample set for replication, revealing PCa risk-related loci at lncRNA regions. The SNP density in regions of lncRNA was similar to that in protein-coding regions, but they were less polymorphic than surrounding regions. Among the 1998 phenotype-related SNPs identified by GWAS, 52 loci were located directly in lncRNA intervals with a 1.5-fold enrichment compared with the entire genome. More than a 5-fold enrichment was observed for eight PCa risk-related loci in lncRNA genes. We also identified a new PCa risk-related SNP rs3787016 in an lncRNA region at 19q13 (per allele odds ratio = 1.19; 95% confidence interval: 1.11-1.27) with P value of 7.22 × 10(-7). lncRNAs may be important for interpreting and mining GWAS data. However, the catalog of lncRNAs needs to be better characterized in order to fully evaluate the relationship of phenotype-related loci with lncRNAs.
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Affiliation(s)
- Guangfu Jin
- Center for Cancer Genomics, Wake Forest University School of Medicine, Medical Center Boulevard, Winston-Salem, NC 27157, USA
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15
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Berndt SI, Sampson J, Yeager M, Jacobs KB, Wang Z, Hutchinson A, Chung C, Orr N, Wacholder S, Chatterjee N, Yu K, Kraft P, Feigelson HS, Thun MJ, Diver WR, Albanes D, Virtamo J, Weinstein S, Schumacher FR, Cancel-Tassin G, Cussenot O, Valeri A, Andriole GL, Crawford ED, Haiman C, Henderson B, Kolonel L, Le Marchand L, Siddiq A, Riboli E, Travis RC, Kaaks R, Isaacs W, Isaacs S, Wiley KE, Gronberg H, Wiklund F, Stattin P, Xu J, Zheng SL, Sun J, Vatten LJ, Hveem K, Njølstad I, Gerhard DS, Tucker M, Hayes RB, Hoover RN, Fraumeni JF, Hunter DJ, Thomas G, Chanock SJ. Large-scale fine mapping of the HNF1B locus and prostate cancer risk. Hum Mol Genet 2011; 20:3322-9. [PMID: 21576123 DOI: 10.1093/hmg/ddr213] [Citation(s) in RCA: 22] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/23/2023] Open
Abstract
Previous genome-wide association studies have identified two independent variants in HNF1B as susceptibility loci for prostate cancer risk. To fine-map common genetic variation in this region, we genotyped 79 single nucleotide polymorphisms (SNPs) in the 17q12 region harboring HNF1B in 10 272 prostate cancer cases and 9123 controls of European ancestry from 10 case-control studies as part of the Cancer Genetic Markers of Susceptibility (CGEMS) initiative. Ten SNPs were significantly related to prostate cancer risk at a genome-wide significance level of P < 5 × 10(-8) with the most significant association with rs4430796 (P = 1.62 × 10(-24)). However, risk within this first locus was not entirely explained by rs4430796. Although modestly correlated (r(2)= 0.64), rs7405696 was also associated with risk (P = 9.35 × 10(-23)) even after adjustment for rs4430769 (P = 0.007). As expected, rs11649743 was related to prostate cancer risk (P = 3.54 × 10(-8)); however, the association within this second locus was stronger for rs4794758 (P = 4.95 × 10(-10)), which explained all of the risk observed with rs11649743 when both SNPs were included in the same model (P = 0.32 for rs11649743; P = 0.002 for rs4794758). Sequential conditional analyses indicated that five SNPs (rs4430796, rs7405696, rs4794758, rs1016990 and rs3094509) together comprise the best model for risk in this region. This study demonstrates a complex relationship between variants in the HNF1B region and prostate cancer risk. Further studies are needed to investigate the biological basis of the association of variants in 17q12 with prostate cancer.
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Affiliation(s)
- Sonja I Berndt
- Division of Cancer Epidemiology and Genetics, Department of Health and Human Services, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892-7240, USA.
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16
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Christensen GB, Baffoe-Bonnie AB, George A, Powell I, Bailey-Wilson JE, Carpten JD, Giles GG, Hopper JL, Severi G, English DR, Foulkes WD, Maehle L, Moller P, Eeles R, Easton D, Badzioch MD, Whittemore AS, Oakley-Girvan I, Hsieh CL, Dimitrov L, Xu J, Stanford JL, Johanneson B, Deutsch K, McIntosh L, Ostrander EA, Wiley KE, Isaacs SD, Walsh PC, Isaacs WB, Thibodeau SN, McDonnell SK, Hebbring S, Schaid DJ, Lange EM, Cooney KA, Tammela TLJ, Schleutker J, Paiss T, Maier C, Grönberg H, Wiklund F, Emanuelsson M, Farnham JM, Cannon-Albright LA, Camp NJ. Genome-wide linkage analysis of 1,233 prostate cancer pedigrees from the International Consortium for Prostate Cancer Genetics using novel sumLINK and sumLOD analyses. Prostate 2010; 70:735-44. [PMID: 20333727 PMCID: PMC3428045 DOI: 10.1002/pros.21106] [Citation(s) in RCA: 12] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Abstract
BACKGROUND Prostate cancer (PC) is generally believed to have a strong inherited component, but the search for susceptibility genes has been hindered by the effects of genetic heterogeneity. The recently developed sumLINK and sumLOD statistics are powerful tools for linkage analysis in the presence of heterogeneity. METHODS We performed a secondary analysis of 1,233 PC pedigrees from the International Consortium for Prostate Cancer Genetics (ICPCG) using two novel statistics, the sumLINK and sumLOD. For both statistics, dominant and recessive genetic models were considered. False discovery rate (FDR) analysis was conducted to assess the effects of multiple testing. RESULTS Our analysis identified significant linkage evidence at chromosome 22q12, confirming previous findings by the initial conventional analyses of the same ICPCG data. Twelve other regions were identified with genome-wide suggestive evidence for linkage. Seven regions (1q23, 5q11, 5q35, 6p21, 8q12, 11q13, 20p11-q11) are near loci previously identified in the initial ICPCG pooled data analysis or the subset of aggressive PC pedigrees. Three other regions (1p12, 8p23, 19q13) confirm loci reported by others, and two (2p24, 6q27) are novel susceptibility loci. FDR testing indicates that over 70% of these results are likely true positive findings. Statistical recombinant mapping narrowed regions to an average of 9 cM. CONCLUSIONS Our results represent genomic regions with the greatest consistency of positive linkage evidence across a very large collection of high-risk PC pedigrees using new statistical tests that deal powerfully with heterogeneity. These regions are excellent candidates for further study to identify PC predisposition genes.
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Affiliation(s)
- G Bryce Christensen
- University of Utah ICPCG Group and Division of Genetic Epidemiology, University of Utah School of Medicine, Salt Lake City, Utah 84108, USA.
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17
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Yeager M, Chatterjee N, Ciampa J, Jacobs KB, Gonzalez-Bosquet J, Hayes RB, Kraft P, Wacholder S, Orr N, Berndt S, Yu K, Hutchinson A, Wang Z, Amundadottir L, Feigelson HS, Thun MJ, Diver WR, Albanes D, Virtamo J, Weinstein S, Schumacher FR, Cancel-Tassin G, Cussenot O, Valeri A, Andriole GL, Crawford ED, Haiman CA, Henderson B, Kolonel L, Le Marchand L, Siddiq A, Riboli E, Key TJ, Kaaks R, Isaacs W, Isaacs S, Wiley KE, Gronberg H, Wiklund F, Stattin P, Xu J, Zheng SL, Sun J, Vatten LJ, Hveem K, Kumle M, Tucker M, Gerhard DS, Hoover RN, Fraumeni JF, Hunter DJ, Thomas G, Chanock SJ. Identification of a new prostate cancer susceptibility locus on chromosome 8q24. Nat Genet 2009; 41:1055-7. [PMID: 19767755 PMCID: PMC3430510 DOI: 10.1038/ng.444] [Citation(s) in RCA: 201] [Impact Index Per Article: 13.4] [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: 03/12/2009] [Accepted: 08/12/2009] [Indexed: 01/15/2023]
Abstract
We report a genome-wide association study in 10,286 cases and 9,135 controls of European ancestry in the Cancer Genetic Markers of Susceptibility (CGEMS) initiative. We identify a new association with prostate cancer risk on chromosome 8q24 (rs620861, P = 1.3 x 10(-10), heterozygote OR = 1.17, 95% CI 1.10-1.24; homozygote OR = 1.33, 95% CI 1.21-1.45). This defines a new locus associated with prostate cancer susceptibility on 8q24.
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Affiliation(s)
- Meredith Yeager
- Core Genotyping Facility, SAIC-Frederick, Inc., NCI-Frederick, Frederick, Maryland, USA.
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18
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Zheng SL, Stevens VL, Wiklund F, Isaacs SD, Sun J, Smith S, Pruett K, Wiley KE, Kim ST, Zhu Y, Zhang Z, Hsu FC, Turner AR, Johansson JE, Liu W, Kim JW, Chang BL, Duggan D, Carpten J, Rodriguez C, Isaacs W, Grönberg H, Xu J. Two independent prostate cancer risk-associated Loci at 11q13. Cancer Epidemiol Biomarkers Prev 2009; 18:1815-20. [PMID: 19505914 DOI: 10.1158/1055-9965.epi-08-0983] [Citation(s) in RCA: 55] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
Single nucleotide polymorphisms (SNP) at 11q13 were recently implicated in prostate cancer risk by two genome-wide association studies and were consistently replicated in multiple study populations. To explore prostate cancer association in the regions flanking these SNPs, we genotyped 31 tagging SNPs in a approximately 110 kb region at 11q13 in a Swedish case-control study (Cancer of the Prostate in Sweden), including 2,899 cases and 1,722 controls. We found evidence of prostate cancer association for the previously implicated SNPs including rs10896449, which we termed locus 1. In addition, multiple SNPs on the centromeric side of the region, including rs12418451, were also significantly associated with prostate cancer risk (termed locus 2). The two groups of SNPs were separated by a recombination hotspot. We then evaluated these two representative SNPs in an additional approximately 4,000 cases and approximately 3,000 controls from three study populations and confirmed both loci at 11q13. In the combined allelic test of all four populations, P = 4.0 x 10(-11) for rs10896449 at locus 1 and P = 1.2 x 10(-6) for rs12418451 at locus 2, and both remained significant after adjusting for the other locus and study population. The prostate cancer association at these two 11q13 loci was unlikely confounded by prostate-specific antigen (PSA) detection bias because neither SNP was associated with PSA levels in controls. Unlike locus 1, in which no known gene is located, several putative mRNAs are in close proximity to locus 2. Additional confirmation studies at locus 2 and functional studies for both loci are needed to advance our knowledge on the etiology of prostate cancer.
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Affiliation(s)
- S Lilly Zheng
- Center for Cancer Genomics, Center for Human Genomics, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA
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19
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Kader AK, Sun J, Isaacs SD, Wiley KE, Yan G, Kim ST, Fedor H, DeMarzo AM, Epstein JI, Walsh PC, Partin AW, Trock B, Zheng SL, Xu J, Isaacs W. Individual and cumulative effect of prostate cancer risk-associated variants on clinicopathologic variables in 5,895 prostate cancer patients. Prostate 2009; 69:1195-205. [PMID: 19434657 PMCID: PMC2852875 DOI: 10.1002/pros.20970] [Citation(s) in RCA: 91] [Impact Index Per Article: 6.1] [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: 11/10/2022]
Abstract
BACKGROUND More than a dozen single nucleotide polymorphisms (SNPs) have been associated with prostate cancer (PCa) risk from genome-wide association studies (GWAS). Their association with PCa aggressiveness and clinicopathologic variables is inconclusive. METHODS Twenty PCa risk SNPs implicated in GWAS and fine mapping studies were evaluated in 5,895 PCa cases treated by radical prostatectomy at Johns Hopkins Hospital, where each tumor was uniformly graded and staged using the same protocol. RESULTS For 18 of the 20 SNPs examined, no statistically significant differences (P > 0.05) were observed in risk allele frequencies between patients with more aggressive (Gleason scores > or =4 + 3, or stage > or =T3b, or N+) or less aggressive disease (Gleason scores < or =3 + 4, and stage < or =T2, and N0). For the two SNPs that had significant differences between more and less aggressive disease rs2735839 in KLK3 (P = 8.4 x 10(-7)) and rs10993994 in MSMB (P = 0.046), the alleles that are associated with increased risk for PCa were more frequent in patients with less aggressive disease. Since these SNPs are known to be associated with PSA levels in men without PCa diagnoses, these latter associations may reflect the enrichment of low grade, low stage cases diagnosed by contemporary disease screening with PSA. CONCLUSIONS The vast majority of PCa risk-associated SNPs are not associated with aggressiveness and clinicopathologic variables of PCa. Correspondingly, they have minimal utility in predicting the risk for developing more or less aggressive forms of PCa.
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Affiliation(s)
- A Karim Kader
- Center for Cancer Genomics, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA
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20
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Lu L, Sun J, Isaacs SD, Wiley KE, Smith S, Pruett K, Zhu Y, Zhang Z, Wiklund F, Grönberg H, Walsh PC, Chang BL, Zheng SL, Isaacs WB, Xu J. Fine-mapping and family-based association analyses of prostate cancer risk variants at Xp11. Cancer Epidemiol Biomarkers Prev 2009; 18:2132-6. [PMID: 19549809 DOI: 10.1158/1055-9965.epi-08-1221] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
Two single nucleotide polymorphisms (SNP; rs5945572 and rs5945619) at Xp11 were recently implicated in two genome-wide association studies of prostate cancer. Using a family-based association test for these two SNPs in 168 families with prostate cancer, we showed in this study that the risk alleles of the two reported SNPs were overtransmitted to the affected offspring (P= 0.009 for rs5945372 and P = 0.03 for rs5945619), which suggested that the observed association in case-control studies were not driven by potential population stratification. We also did a fine-mapping study in the approximately 800 kb region at Xp11 between two independent case-control studies, including 1,527 cases and 482 controls from Johns Hopkins Hospital and 1,172 cases and 1,157 controls from the Prostate, Lung, Colon and Ovarian Cancer screening trial. The strongest association was found with SNPs in the haplotype block in which the two initial reported SNPs were located, although many SNPs in the approximately 140 kb region were highly significant in the combined allelic tests (P = 10(-5) to 10(-6)). The second strongest association was observed with SNPs in the approximately 286 kb region at another haplotype block (P = 10(-4) to 10(-5)), approximately 94 kb centromeric to the first region. The significance of SNPs in the second region decreased considerably after adjusting for SNPs at the first region, although P values remained at <0.05. Additional studies are warranted to test independent prostate cancer associations at these two regions.
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Affiliation(s)
- Lingyi Lu
- Center for Cancer Genomics, Wake Forest University School of Medicine, Winston-Salem, NC, USA
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21
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Xu J, Kibel AS, Hu JJ, Turner AR, Pruett K, Zheng SL, Sun J, Isaacs SD, Wiley KE, Kim ST, Hsu FC, Wu W, Torti FM, Walsh PC, Chang BL, Isaacs WB. Prostate cancer risk associated loci in African Americans. Cancer Epidemiol Biomarkers Prev 2009; 18:2145-9. [PMID: 19549807 DOI: 10.1158/1055-9965.epi-09-0091] [Citation(s) in RCA: 54] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023] Open
Abstract
Four genome-wide association studies, all in populations of European descent, have identified 20 independent single nucleotide polymorphisms (SNP) in 20 regions that are associated with prostate cancer risk. We evaluated these 20 SNPs in a combined African American (AA) study, with 868 prostate cancer patients and 878 control subjects. For 17 of these 20 SNPs, implicated risk-associated alleles were found to be more common in these AA cases than controls, significantly more than expected under the null hypothesis (P = 0.03). Two of these 17 SNPs, located at 3p12, and region 2 at 8q24, were significantly associated with prostate cancer risk (P < 0.05), and only SNP rs16901979 at region 2 of 8q24 remained significant after accounting for 20 tests. A multivariate analysis of additional SNPs across the broader 8q24 region revealed three independent prostate cancer risk-associated SNPs, including rs16901979, rs13254738, and rs10086908. The first two SNPs were approximately 20 kb apart and the last SNP, a novel finding from this study, was approximately 100 kb centromeric to the first two SNPs. These results suggest that a systematic evaluation of regions harboring known prostate cancer risk SNPs implicated in other races is an efficient approach to identify risk alleles for AA. However, studies with larger numbers of AA subjects are needed, and this will likely require a major collaborative effort to combine multiple AA study populations.
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Affiliation(s)
- Jianfeng Xu
- Center for Cancer Genomics, Wake Forest University School of Medicine, Winston-Salem, NC 27157, USA.
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22
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Hsu FC, Sun J, Wiklund F, Isaacs SD, Wiley KE, Purcell LD, Gao Z, Stattin P, Zhu Y, Kim ST, Zhang Z, Liu W, Chang BL, Walsh PC, Duggan D, Carpten JD, Isaacs WB, Grönberg H, Xu J, Zheng SL. A novel prostate cancer susceptibility locus at 19q13. Cancer Res 2009; 69:2720-3. [PMID: 19318570 DOI: 10.1158/0008-5472.can-08-3347] [Citation(s) in RCA: 46] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
A two-stage genome-wide association study (GWAS) of the Cancer Genetic Markers of Susceptibility (CGEMS) initiative identified single nucleotide polymorphisms (SNP) in 150 regions across the genome that may be associated with prostate cancer (PCa) risk. We filtered these results to identify 43 independent SNPs where the frequency of the risk allele was consistently higher in cases than in controls in each of the five CGEMS study populations. Genotype information for 22 of these 43 SNPs was obtained either directly by genotyping or indirectly by imputation in our PCa GWAS of 500 cases and 500 controls selected from a population-based case-control study in Sweden [Cancer of the Prostate in Sweden (CAPS)]. Two of these 22 SNPs were significantly associated with PCa risk (P<0.05). We then genotyped these two SNPs in the remaining cases (n=2,393) and controls (n=1,222) from CAPS and found that rs887391 at 19q13 was highly associated with PCa risk (P=9.4 x 10(-4)). A similar trend of association was found for this SNP in a case-control study from Johns Hopkins Hospital (JHH), albeit the result was not statistically significant. Altogether, the frequency of the risk allele of rs887391 was consistently higher in cases than controls among each of seven study populations examined, with an overall P=3.2 x 10(-7) from a combined allelic test. A fine-mapping study in a 110-kb region at 19q13 among CAPS and JHH study populations revealed that rs887391 was the most strongly associated SNP in the region. Additional confirmation studies of this region are warranted.
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Affiliation(s)
- Fang-Chi Hsu
- Center for Cancer Genomics, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA
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23
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Sun J, Zheng SL, Wiklund F, Isaacs SD, Li G, Wiley KE, Kim ST, Zhu Y, Zhang Z, Hsu FC, Turner AR, Stattin P, Liu W, Kim JW, Duggan D, Carpten J, Isaacs W, Grönberg H, Xu J, Chang BL. Sequence variants at 22q13 are associated with prostate cancer risk. Cancer Res 2009; 69:10-5. [PMID: 19117981 DOI: 10.1158/0008-5472.can-08-3464] [Citation(s) in RCA: 99] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
To search for genetic variants that are associated with prostate cancer risk in the genome, we combined the data from our genome-wide association study (GWAS) in a population-based case-control study in Sweden with publicly available GWAS data from the Cancer Genetic Markers of Susceptibility (CGEMS) study. We limited the cases to those with aggressive disease in an attempt to identify risk variants that are associated with this most clinically relevant form of the disease. Among the most likely candidate single nucleotide polymorphisms (SNP) identified from the two GWAS, we sequentially confirmed one SNP at 22q13 in two independent study populations: the remaining subjects in Cancer of the Prostate in Sweden and a hospital-based case-control study at Johns Hopkins Hospital. Association of aggressive prostate cancer with the SNP at 22q13 was also observed in the publicly available data of four additional study populations from the second stage of the CGEMS study. In all seven study populations examined, the frequency of allele "C" of rs9623117 at 22q13 was consistently higher in aggressive cases than in controls. The combined allelic test was highly significant, with P = 5.0 x 10(-7). The odds ratio (OR) of allele C for aggressive prostate cancer was estimated to be 1.18 [95% confidence interval (95% CI), 1.11-1.26]. However, the SNP was also associated with nonaggressive prostate cancer, with an estimated OR of 1.11 (95% CI, 1.04-1.19; P = 0.004). The risk-associated variants are located within the genomic region of TNRC6B, a gene involved in miRNA-mediated mRNA degradation. Additional studies are warranted to further confirm the association.
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Affiliation(s)
- Jielin Sun
- Center for Cancer Genomics, Wake Forest University School of Medicine, Winston-Salem, NC 27157, USA
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24
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Chang BL, Cramer SD, Wiklund F, Isaacs SD, Stevens VL, Sun J, Smith S, Pruett K, Romero LM, Wiley KE, Kim ST, Zhu Y, Zhang Z, Hsu FC, Turner AR, Adolfsson J, Liu W, Kim JW, Duggan D, Carpten J, Zheng SL, Rodriguez C, Isaacs WB, Grönberg H, Xu J. Fine mapping association study and functional analysis implicate a SNP in MSMB at 10q11 as a causal variant for prostate cancer risk. Hum Mol Genet 2009; 18:1368-75. [PMID: 19153072 DOI: 10.1093/hmg/ddp035] [Citation(s) in RCA: 89] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022] Open
Abstract
A single nucleotide polymorphism (SNP) at 10q11 (rs10993994) in the 5' region of the MSMB gene was recently implicated in prostate cancer risk in two genome-wide association studies. To identify possible causal variants in the region, we genotyped 16 tagging SNPs and imputed 29 additional SNPs in approximately 65 kb genomic region at 10q11 in a Swedish population-based case-control study (CAncer of the Prostate in Sweden), including 2899 cases and 1722 controls. We found evidence for two independent loci, separated by a recombination hotspot, associated with prostate cancer risk. Among multiple significant SNPs at locus 1, the initial SNP rs10993994 was most significant. Importantly, using an MSMB promoter reporter assay, we showed that the risk allele of this SNP had only 13% of the promoter activity of the wild-type allele in a prostate cancer model, LNCaP cells. Curiously, the second, novel locus (locus 2) was within NCOA4 (also known as ARA70), which is known to enhance androgen receptor transcriptional activity in prostate cancer cells. However, its association was only weakly confirmed in one of the three additional study populations. The observations that rs10993994 is the strongest associated variant in the region and its risk allele has a major effect on the transcriptional activity of MSMB, a gene with previously described prostate cancer suppressor function, together suggest the T allele of rs10993994 as a potential causal variant at 10q11 that confers increased risk of prostate cancer.
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Affiliation(s)
- Bao-Li Chang
- Center for Cancer Genomics, Wake Forest University School of Medicine, Winston-Salem, NC 27157, USA
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25
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Xu J, Isaacs SD, Sun J, Li G, Wiley KE, Zhu Y, Hsu FC, Wiklund F, Turner AR, Adams TS, Liu W, Trock BJ, Partin AW, Chang B, Walsh PC, Grönberg H, Isaacs W, Zheng S. Association of prostate cancer risk variants with clinicopathologic characteristics of the disease. Clin Cancer Res 2008; 14:5819-24. [PMID: 18794092 DOI: 10.1158/1078-0432.ccr-08-0934] [Citation(s) in RCA: 50] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
PURPOSE Fifteen independent genetic variants have been implicated in prostate cancer risk by recent genome-wide association studies. However, their association with clinicopathologic features of prostate cancer is uncertain. EXPERIMENTAL DESIGN We systematically evaluated these 15 variants in 1,563 prostate cancer patients undergoing radical prostatectomy, taking advantage of the uniform tumor stage and grade information available for each of these cases. Associations of these variants with aggressiveness, pathologic Gleason scores, pathologic stage, age at diagnosis, or serum prostate-specific antigen (PSA) levels were tested. RESULTS After adjusting for multiple testing, none of the single nucleotide polymorphisms was individually or cumulatively associated with aggressiveness or individual clinicopathologic variables of prostate cancer such as Gleason scores, pathologic stage, or age at diagnosis of prostate cancer. The reported risk allele (G) for single nucleotide polymorphism rs2735839 in the KLK3 gene at 19q13 was more frequent in less aggressive prostate cancer patients (0.89) than in more aggressive prostate cancer patients (0.86; nominal P = 0.03) or in controls (0.86; nominal P = 0.04). Considering that this allele was also significantly associated with higher serum PSA levels among controls (nominal P = 0.003), the observed trend of higher frequency of this risk allele between less and more aggressive prostate cancer, or between less aggressive and controls may be due to detection bias of PSA screening. CONCLUSIONS Prostate cancer risk variants recently discovered from genome-wide case-control association studies are not associated with clinicopathologic variables in this population. Case-case studies are urgently needed to discover genetic variants that predict tumor aggressiveness.
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Affiliation(s)
- Jianfeng Xu
- Center for Cancer Genomics, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA
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26
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Sun J, Chang BL, Isaacs SD, Wiley KE, Wiklund F, Stattin P, Duggan D, Carpten JD, Trock BJ, Partin AW, Walsh PC, Grönberg H, Xu J, Isaacs WB, Zheng SL. Cumulative effect of five genetic variants on prostate cancer risk in multiple study populations. Prostate 2008; 68:1257-62. [PMID: 18491292 PMCID: PMC2800258 DOI: 10.1002/pros.20793] [Citation(s) in RCA: 43] [Impact Index Per Article: 2.7] [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: 11/10/2022]
Abstract
BACKGROUND A strong cumulative effect of five genetic variants and family history on prostate cancer risk was recently reported in a Swedish population (CAPS). We carried out this study to confirm the finding in two U.S. study populations and perform a combined analysis to obtain a more stable estimate of the odds ratio (OR) for prostate cancer. METHODS We evaluated three SNPs at 8q24 and one SNP each at 17q12 and 17q24.3 in two study populations in the U.S. The first was a hospital-based case-control study population at Johns Hopkins Hospital (JHH), including 1,563 prostate cancer patients and 576 control subjects. The second was the National Cancer Institute Cancer Genetic Markers of Susceptibility (CGEMS) Initiative, including 1,172 prostate cancer patients and 1,157 control subjects. RESULTS We confirmed a cumulative effect of five risk variants on prostate cancer risk. Based on a total of 5,628 cases and 3,514 controls from JHH, CGEMS, and CAPS, men who carry any combination of 1, 2, 3, and 4 or more of these five risk variants have an estimated OR (95% CI) of 1.41 (1.20-1.67), 1.88 (1.59-2.22), 2.36 (1.95-2.85), and 3.80 (2.77-5.22) for prostate cancer, respectively, compared to men who do not have any of these five risk variants. When family history was included, the cumulative effect was stronger. DISCUSSION These results provide an important confirmation for the cumulative effect of five genetic risk variants on prostate cancer risk. The more stable OR estimates of the cumulative effect of these six risk factors are a major step toward individual risk characterization for this disease.
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Affiliation(s)
- Jielin Sun
- Center for Cancer Genomics, Wake Forest University School of Medicine, Winston-Salem, North Carolina 27157, USA
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27
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Sun J, Purcell L, Gao Z, Isaacs SD, Wiley KE, Hsu FC, Liu W, Duggan D, Carpten JD, Grönberg H, Xu J, Chang BL, Partin AW, Walsh PC, Isaacs WB, Zheng SL. Association between sequence variants at 17q12 and 17q24.3 and prostate cancer risk in European and African Americans. Prostate 2008; 68:691-7. [PMID: 18361410 PMCID: PMC3176499 DOI: 10.1002/pros.20754] [Citation(s) in RCA: 38] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
BACKGROUND Three SNPs at 17q12 and four SNPs at 17q24.3 were recently identified to be associated with prostate cancer risk using a genome-wide association study. METHODS We evaluated these 7 SNPs in two hospital-based case-control study populations, including European Americans (EA; 1,563 cases and 576 controls) and African Americans (AA; 364 cases and 353 controls). RESULTS Each of the reported risk alleles of these seven SNPs were more common in cases than in controls among EA and AA. The differences were highly significant in EA (P = 10(-4)) and marginally significant in AA (P = 0.04) for SNPs at 17q12. In contrast, the differences were not statistically significant in EA or AA for SNPs at 17q24.3, but were marginally significant for two SNPs (P = 0.04-0.06) when EA and AA subjects were combined. Similar results were obtained when genotype and haplotype frequencies between cases and controls were analyzed. These risk variants were not associated with more aggressive prostate cancer or other clinical variables such as TNM stage, pre-operative PSA, or age at diagnosis. CONCLUSIONS Results from our study provide the first confirmation of these 17q SNPs as novel prostate cancer susceptibility loci in EA and the first indication that these two loci may also play roles in prostate cancer risk among AA.
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Affiliation(s)
- Jielin Sun
- Center for Human Genomics, Wake Forest University School of Medicine, Winston-Salem, NC
| | - Lina Purcell
- Center for Human Genomics, Wake Forest University School of Medicine, Winston-Salem, NC
| | - Zhengrong Gao
- Center for Human Genomics, Wake Forest University School of Medicine, Winston-Salem, NC
| | | | | | - Fang-Chi Hsu
- Department of Biostatistical Sciences, Wake Forest University School of Medicine, Winston-Salem, NC
| | - Wennuan Liu
- Center for Human Genomics, Wake Forest University School of Medicine, Winston-Salem, NC
| | - David Duggan
- Translational Genomics Research Institute (TGen), Phoenix, AZ
| | - John D. Carpten
- Translational Genomics Research Institute (TGen), Phoenix, AZ
| | - Henrik Grönberg
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Jianfeng Xu
- Center for Human Genomics, Wake Forest University School of Medicine, Winston-Salem, NC
| | - Bao-Li Chang
- Center for Human Genomics, Wake Forest University School of Medicine, Winston-Salem, NC
| | | | | | - William B. Isaacs
- Johns Hopkins Medical Institutions, Baltimore, MD
- Address for correspondence: Marburg 115, Johns Hopkins Hospital, 600 N. Wolfe Street, Baltimore, MD 21287, Phone: (410) 955-2518, Fax: (410) 955-0833,
| | - S. Lilly Zheng
- Center for Human Genomics, Wake Forest University School of Medicine, Winston-Salem, NC
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Sun J, Lange EM, Isaacs SD, Liu W, Wiley KE, Lange L, Gronberg H, Duggan D, Carpten JD, Walsh PC, Xu J, Chang BL, Isaacs WB, Zheng SL. Chromosome 8q24 risk variants in hereditary and non-hereditary prostate cancer patients. Prostate 2008; 68:489-97. [PMID: 18213635 DOI: 10.1002/pros.20695] [Citation(s) in RCA: 36] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
BACKGROUND Multiple variants in three regions at 8q24 are consistently found to be associated with prostate cancer (PCa) risk in population-based association studies. The role that these variants may play in familial prostate cancer risk has not been extensively investigated. METHODS We evaluated 12 SNPs at three 8q24 regions using population-based association and family-based linkage and association methods in hereditary PCa (HPC) probands and their families, non-HPC patients, and unaffected screened controls, all recruited at Johns Hopkins Hospital. RESULTS For multiple variants in Region 1 (e.g., rs1447295) and Region 2 (e.g., rs16901979), we found statistically significantly higher frequencies of previously identified risk alleles and genotypes in HPC probands than in unaffected controls. Furthermore, in Region 2 the risk alleles were statistically significantly more frequent in HPC probands than in non-HPC patients. Family-based transmission tests found risk alleles of SNPs in Region 2, but not in Regions 1 and 3, were significantly over-transmitted to affected men in these families. We found little evidence supporting PCa linkage at 8q24 in 168 HPC families, in part explained by the observation of multiple, different risk allele-containing haplotypes segregating in the vast majority of these families. CONCLUSIONS Our study further supports the presence of PCa susceptibility loci at 8q24, particular at Region 2, and also provides evidence that these SNPs play an important role in familial prostate cancer. Large family-based studies are needed to confirm our novel findings.
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Affiliation(s)
- Jielin Sun
- Center for Human Genomics, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA
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Gudmundsson J, Sulem P, Rafnar T, Bergthorsson JT, Manolescu A, Gudbjartsson D, Agnarsson BA, Sigurdsson A, Benediktsdottir KR, Blondal T, Jakobsdottir M, Stacey SN, Kostic J, Kristinsson KT, Birgisdottir B, Ghosh S, Magnusdottir DN, Thorlacius S, Thorleifsson G, Zheng SL, Sun J, Chang BL, Elmore JB, Breyer JP, McReynolds KM, Bradley KM, Yaspan BL, Wiklund F, Stattin P, Lindström S, Adami HO, McDonnell SK, Schaid DJ, Cunningham JM, Wang L, Cerhan JR, St Sauver JL, Isaacs SD, Wiley KE, Partin AW, Walsh PC, Polo S, Ruiz-Echarri M, Navarrete S, Fuertes F, Saez B, Godino J, Weijerman PC, Swinkels DW, Aben KK, Witjes JA, Suarez BK, Helfand BT, Frigge ML, Kristjansson K, Ober C, Jonsson E, Einarsson GV, Xu J, Gronberg H, Smith JR, Thibodeau SN, Isaacs WB, Catalona WJ, Mayordomo JI, Kiemeney LA, Barkardottir RB, Gulcher JR, Thorsteinsdottir U, Kong A, Stefansson K. Common sequence variants on 2p15 and Xp11.22 confer susceptibility to prostate cancer. Nat Genet 2008; 40:281-3. [PMID: 18264098 DOI: 10.1038/ng.89] [Citation(s) in RCA: 299] [Impact Index Per Article: 18.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2007] [Accepted: 12/27/2007] [Indexed: 01/11/2023]
Abstract
We conducted a genome-wide SNP association study on prostate cancer on over 23,000 Icelanders, followed by a replication study including over 15,500 individuals from Europe and the United States. Two newly identified variants were shown to be associated with prostate cancer: rs5945572 on Xp11.22 and rs721048 on 2p15 (odds ratios (OR) = 1.23 and 1.15; P = 3.9 x 10(-13) and 7.7 x 10(-9), respectively). The 2p15 variant shows a significantly stronger association with more aggressive, rather than less aggressive, forms of the disease.
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Abstract
Immunomodulating agents such as thalidomide and its newly emerged derivative, lenalidomide, are becoming increasingly popular in the treatment of multiple myeloma because of their ability to combat drug resistance. Clinical trials suggest that thalidomide and lenalidomide are effective in all stages of multiple myeloma treatment-new diagnoses, stem cell transplantations, maintenance therapy, and relapsed or refractory disease. The drugs are most efficacious when combined with additional chemotherapeutic agents and/or corticosteroids. However, deep vein thrombosis and other thromboembolic events are associated with the treatment regimens. Oncology nurses must understand the pharmacologic properties of the drugs and the potentially life-threatening complications associated with them. To provide the highest standard of care, oncology nurses must play a vital role in the prevention, diagnosis, and management of thromboembolic events through awareness of the clinical problem, assessment tools, and thromboembolic prophylactic regimens.
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Affiliation(s)
- Kathleen E Wiley
- University of Pennsylvania Abramson Cancer Center, Philadelphia, USA.
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Zheng SL, Sun J, Cheng Y, Li G, Hsu FC, Zhu Y, Chang BL, Liu W, Kim JW, Turner AR, Gielzak M, Yan G, Isaacs SD, Wiley KE, Sauvageot J, Chen HS, Gurganus R, Mangold LA, Trock BJ, Gronberg H, Duggan D, Carpten JD, Partin AW, Walsh PC, Xu J, Isaacs WB. Association between two unlinked loci at 8q24 and prostate cancer risk among European Americans. J Natl Cancer Inst 2007; 99:1525-33. [PMID: 17925536 DOI: 10.1093/jnci/djm169] [Citation(s) in RCA: 116] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022] Open
Abstract
BACKGROUND Recent studies have provided evidence of associations between genetic markers at human chromosome 8q24 and an increased risk of prostate cancer. We examined whether multiple independent risk variants exist in this region and whether the strength of observed associations differs as a function of disease aggressiveness. METHODS We evaluated associations between 18 single-nucleotide polymorphisms (SNPs) in a 1-Mb interval at 8q24 and the risk of prostate cancer among 1563 case patients (1017 of whom had high-grade [Gleason score > or = 7] and/or non-organ-confined disease) and 576 control subjects of European American ancestry. Differences in genotype frequencies between case and control subjects were compared using logistic regression analysis, with adjustment for age, and the Wald chi-square test. All statistical tests were two-sided. RESULTS We identified multiple SNPs in a 50-kb region (referred to as locus 1) that are in linkage disequilibrium with a previously reported risk-associated SNP at 8q24, rs1447295, but were more strongly associated with prostate cancer risk in our study population. We also identified a novel susceptibility SNP, rs6983267, at a second locus (locus 2) that is approximately 70 kb centromeric of rs1447295 and in linkage equilibrium with, and independent of, locus 1. Risk alleles at locus 2 were common in our study population (minor allele frequency approximately 50%, 25% homozygous for risk-associated allele). Analysis of the National Cancer Institute's Cancer Genetic Markers of Susceptibility (CGEMS) prostate cancer association study database alone and in combination with our data provided further evidence for this second prostate cancer risk locus; in the combined analysis, the allele frequencies for rs6983267 differed statistically significantly between case patients and control subjects (P = 1.61 x 10(-9)). We also identified a third locus at 8q24, approximately 400 kb centromeric to locus 2, that was statistically significantly associated with prostate cancer risk in a combined analysis of our data and CGEMS study data (P = 6.8 x 10(-4)). A joint analysis of loci 1 and 2 indicated that 35% of the control subjects carried risk genotypes at one or both these loci; compared with men with the non-risk genotype at both loci, men with risk genotypes at both loci had an odds ratio of prostate cancer of 2.68 (95% confidence interval [CI] = 1.62 to 4.43) and men with risk genotypes at either locus had an odds ratio of prostate cancer of 1.70 (95% CI = 1.39 to 2.07). CONCLUSIONS Three loci at 8q24 are independent genetic risk factors for prostate cancer.
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Affiliation(s)
- S Lilly Zheng
- Center for Human Genomics, Wake Forest University School of Medicine, Winston-Salem, NC, USA
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Camp NJ, Cannon-Albright LA, Farnham JM, Baffoe-Bonnie AB, George A, Powell I, Bailey-Wilson JE, Carpten JD, Giles GG, Hopper JL, Severi G, English DR, Foulkes WD, Maehle L, Moller P, Eeles R, Easton D, Badzioch MD, Whittemore AS, Oakley-Girvan I, Hsieh CL, Dimitrov L, Xu J, Stanford JL, Johanneson B, Deutsch K, McIntosh L, Ostrander EA, Wiley KE, Isaacs SD, Walsh PC, Thibodeau SN, McDonnell SK, Hebbring S, Schaid DJ, Lange EM, Cooney KA, Tammela TLJ, Schleutker J, Paiss T, Maier C, Grönberg H, Wiklund F, Emanuelsson M, Isaacs WB. Compelling evidence for a prostate cancer gene at 22q12.3 by the International Consortium for Prostate Cancer Genetics. Hum Mol Genet 2007; 16:1271-8. [PMID: 17478474 PMCID: PMC2653215 DOI: 10.1093/hmg/ddm075] [Citation(s) in RCA: 28] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Previously, an analysis of 14 extended, high-risk Utah pedigrees localized in the chromosome 22q linkage region to 3.2 Mb at 22q12.3-13.1 (flanked on each side by three recombinants) contained 31 annotated genes. In this large, multi-centered, collaborative study, we performed statistical recombinant mapping in 54 pedigrees selected to be informative for recombinant mapping from nine member groups of the International Consortium for Prostate Cancer Genetics (ICPCG). These 54 pedigrees included the 14 extended pedigrees from Utah and 40 pedigrees from eight other ICPCG member groups. The additional 40 pedigrees were selected from a total pool of 1213 such that each pedigree was required to contain both at least four prostate cancer (PRCA) cases and exhibit evidence for linkage to the chromosome 22q region. The recombinant events in these 40 independent pedigrees confirmed the previously proposed region. Further, when all 54 pedigrees were considered, the three-recombinant consensus region was narrowed down by more than a megabase to 2.2 Mb at chromosome 22q12.3 flanked by D22S281 and D22S683. This narrower region eliminated 20 annotated genes from that previously proposed, leaving only 11 genes. This region at 22q12.3 is the most consistently identified and smallest linkage region for PRCA. This collaborative study by the ICPCG illustrates the value of consortium efforts and the continued utility of linkage analysis using informative pedigrees to localize genes for complex diseases.
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Affiliation(s)
- Nicola J Camp
- University of Utah ICPCG Group and Division of Genetic Epidemiology, University of Utah School of Medicine, 391 Chipeta Way, Suite D, Salt Lake City, UT 84108, USA.
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Gudmundsson J, Sulem P, Manolescu A, Amundadottir LT, Gudbjartsson D, Helgason A, Rafnar T, Bergthorsson JT, Agnarsson BA, Baker A, Sigurdsson A, Benediktsdottir KR, Jakobsdottir M, Xu J, Blondal T, Kostic J, Sun J, Ghosh S, Stacey SN, Mouy M, Saemundsdottir J, Backman VM, Kristjansson K, Tres A, Partin AW, Albers-Akkers MT, Godino-Ivan Marcos J, Walsh PC, Swinkels DW, Navarrete S, Isaacs SD, Aben KK, Graif T, Cashy J, Ruiz-Echarri M, Wiley KE, Suarez BK, Witjes JA, Frigge M, Ober C, Jonsson E, Einarsson GV, Mayordomo JI, Kiemeney LA, Isaacs WB, Catalona WJ, Barkardottir RB, Gulcher JR, Thorsteinsdottir U, Kong A, Stefansson K. Genome-wide association study identifies a second prostate cancer susceptibility variant at 8q24. Nat Genet 2007; 39:631-7. [PMID: 17401366 DOI: 10.1038/ng1999] [Citation(s) in RCA: 698] [Impact Index Per Article: 41.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2006] [Accepted: 02/16/2007] [Indexed: 02/06/2023]
Abstract
Prostate cancer is the most prevalent noncutaneous cancer in males in developed regions, with African American men having among the highest worldwide incidence and mortality rates. Here we report a second genetic variant in the 8q24 region that, in conjunction with another variant we recently discovered, accounts for about 11%-13% of prostate cancer cases in individuals of European descent and 31% of cases in African Americans. We made the current discovery through a genome-wide association scan of 1,453 affected Icelandic individuals and 3,064 controls using the Illumina HumanHap300 BeadChip followed by four replication studies. A key step in the discovery was the construction of a 14-SNP haplotype that efficiently tags a relatively uncommon (2%-4%) susceptibility variant in individuals of European descent that happens to be very common (approximately 42%) in African Americans. The newly identified variant shows a stronger association with affected individuals who have an earlier age at diagnosis.
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Schaid DJ, McDonnell SK, Zarfas KE, Cunningham JM, Hebbring S, Thibodeau SN, Eeles RA, Easton DF, Foulkes WD, Simard J, Giles GG, Hopper JL, Mahle L, Moller P, Badzioch M, Bishop DT, Evans C, Edwards S, Meitz J, Bullock S, Hope Q, Guy M, Hsieh CL, Halpern J, Balise RR, Oakley-Girvan I, Whittemore AS, Xu J, Dimitrov L, Chang BL, Adams TS, Turner AR, Meyers DA, Friedrichsen DM, Deutsch K, Kolb S, Janer M, Hood L, Ostrander EA, Stanford JL, Ewing CM, Gielzak M, Isaacs SD, Walsh PC, Wiley KE, Isaacs WB, Lange EM, Ho LA, Beebe-Dimmer JL, Wood DP, Cooney KA, Seminara D, Ikonen T, Baffoe-Bonnie A, Fredriksson H, Matikainen MP, Tammela TLJ, Bailey-Wilson J, Schleutker J, Maier C, Herkommer K, Hoegel JJ, Vogel W, Paiss T, Wiklund F, Emanuelsson M, Stenman E, Jonsson BA, Grönberg H, Camp NJ, Farnham J, Cannon-Albright LA, Catalona WJ, Suarez BK, Roehl KA. Pooled genome linkage scan of aggressive prostate cancer: results from the International Consortium for Prostate Cancer Genetics. Hum Genet 2006; 120:471-85. [PMID: 16932970 DOI: 10.1007/s00439-006-0219-9] [Citation(s) in RCA: 49] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2006] [Accepted: 06/05/2006] [Indexed: 10/24/2022]
Abstract
While it is widely appreciated that prostate cancers vary substantially in their propensity to progress to a life-threatening stage, the molecular events responsible for this progression have not been identified. Understanding these molecular mechanisms could provide important prognostic information relevant to more effective clinical management of this heterogeneous cancer. Hence, through genetic linkage analyses, we examined the hypothesis that the tendency to develop aggressive prostate cancer may have an important genetic component. Starting with 1,233 familial prostate cancer families with genome scan data available from the International Consortium for Prostate Cancer Genetics, we selected those that had at least three members with the phenotype of clinically aggressive prostate cancer, as defined by either high tumor grade and/or stage, resulting in 166 pedigrees (13%). Genome-wide linkage data were then pooled to perform a combined linkage analysis for these families. Linkage signals reaching a suggestive level of significance were found on chromosomes 6p22.3 (LOD = 3.0), 11q14.1-14.3 (LOD = 2.4), and 20p11.21-q11.21 (LOD = 2.5). For chromosome 11, stronger evidence of linkage (LOD = 3.3) was observed among pedigrees with an average at diagnosis of 65 years or younger. Other chromosomes that showed evidence for heterogeneity in linkage across strata were chromosome 7, with the strongest linkage signal among pedigrees without male-to-male disease transmission (7q21.11, LOD = 4.1), and chromosome 21, with the strongest linkage signal among pedigrees that had African American ancestry (21q22.13-22.3; LOD = 3.2). Our findings suggest several regions that may contain genes which, when mutated, predispose men to develop a more aggressive prostate cancer phenotype. This provides a basis for attempts to identify these genes, with potential clinical utility for men with aggressive prostate cancer and their relatives.
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Affiliation(s)
- Daniel J Schaid
- Harwick 7, Mayo Clinic College of Medicine, Rochester, MN 55905, USA.
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Xu J, Sauvageot J, Ewing CM, Sun J, Liu W, Isaacs SD, Wiley KE, Diaz L, Zheng SL, Walsh PC, Isaacs WB. Germline ATBF1 mutations and prostate cancer risk. Prostate 2006; 66:1082-5. [PMID: 16637072 DOI: 10.1002/pros.20430] [Citation(s) in RCA: 17] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
BACKGROUND ATBF1 has been recently identified as a candidate prostate tumor suppressor gene. In addition to more unique mutations, two somatic mutations (shortening of a polypyrimidine tract [Poly(T)n] and a deletion beginning at codon 3381 (3381del)) were each observed in multiple prostate cancer samples and both appear to have an impact on ATBF1 gene function and expression. METHODS We assayed two recurrent sequence variants in germline DNA from prostate cancer cases and controls, and examined whether carriers of these variants are at increased risk for prostate cancer. RESULTS We found Poly(T)n variants in both normal and matched tumor DNA samples from multiple patients, indicating a germline origin in each case. Genotyping germline DNA samples indicated that 3381del was significantly associated with prostate cancer risk among sporadic cases (P = 0.03), but not among men with hereditary disease. CONCLUSIONS Our study indicates that the germline 3381del allele may influence prostate cancer susceptibility.
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Affiliation(s)
- Junyan Xu
- Center for Human Genomics, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA
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Chang BL, Lange EM, Dimitrov L, Valis CJ, Gillanders EM, Lange LA, Wiley KE, Isaacs SD, Wiklund F, Baffoe-Bonnie A, Langefeld CD, Zheng SL, Matikainen MP, Ikonen T, Fredriksson H, Tammela T, Walsh PC, Bailey-Wilson JE, Schleutker J, Gronberg H, Cooney KA, Isaacs WB, Suh E, Trent JM, Xu J. Two-locus genome-wide linkage scan for prostate cancer susceptibility genes with an interaction effect. Hum Genet 2005; 118:716-24. [PMID: 16328469 DOI: 10.1007/s00439-005-0099-4] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2005] [Accepted: 09/26/2005] [Indexed: 10/25/2022]
Abstract
Prostate cancer represents a significant worldwide public health burden. Epidemiological and genetic epidemiological studies have consistently provided data supporting the existence of inherited prostate cancer susceptibility genes. Segregation analyses of prostate cancer suggest that a multigene model may best explain familial clustering of this disease. Therefore, modeling gene-gene interactions in linkage analysis may improve the power to detect chromosomal regions harboring these disease susceptibility genes. In this study, we systematically screened for prostate cancer linkage by modeling two-locus gene-gene interactions for all possible pairs of loci across the genome in 426 prostate cancer families from Johns Hopkins Hospital, University of Michigan, University of Umeå, and University of Tampere. We found suggestive evidence for an epistatic interaction for six sets of loci (target chromosome-wide/reference marker-specific P< or =0.0001). Evidence for these interactions was found in two independent subsets from within the 426 families. While the validity of these results requires confirmation from independent studies and the identification of the specific genes underlying this linkage evidence, our approach of systematically assessing gene-gene interactions across the entire genome represents a promising alternative approach for gene identification for prostate cancer.
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Affiliation(s)
- Bao-Li Chang
- Center for Human Genomics, Wake Forest University School of Medicine, Winston-Salem, NC, USA
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Xu J, Dimitrov L, Chang BL, Adams TS, Turner AR, Meyers DA, Eeles RA, Easton DF, Foulkes WD, Simard J, Giles GG, Hopper JL, Mahle L, Moller P, Bishop T, Evans C, Edwards S, Meitz J, Bullock S, Hope Q, Hsieh CL, Halpern J, Balise RN, Oakley-Girvan I, Whittemore AS, Ewing CM, Gielzak M, Isaacs SD, Walsh PC, Wiley KE, Isaacs WB, Thibodeau SN, McDonnell SK, Cunningham JM, Zarfas KE, Hebbring S, Schaid DJ, Friedrichsen DM, Deutsch K, Kolb S, Badzioch M, Jarvik GP, Janer M, Hood L, Ostrander EA, Stanford JL, Lange EM, Beebe-Dimmer JL, Mohai CE, Cooney KA, Ikonen T, Baffoe-Bonnie A, Fredriksson H, Matikainen MP, Tammela TLJ, Bailey-Wilson J, Schleutker J, Maier C, Herkommer K, Hoegel JJ, Vogel W, Paiss T, Wiklund F, Emanuelsson M, Stenman E, Jonsson BA, Grönberg H, Camp NJ, Farnham J, Cannon-Albright LA, Seminara D. A combined genomewide linkage scan of 1,233 families for prostate cancer-susceptibility genes conducted by the international consortium for prostate cancer genetics. Am J Hum Genet 2005; 77:219-29. [PMID: 15988677 PMCID: PMC1224525 DOI: 10.1086/432377] [Citation(s) in RCA: 113] [Impact Index Per Article: 5.9] [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: 03/22/2005] [Accepted: 05/27/2005] [Indexed: 11/03/2022] Open
Abstract
Evidence of the existence of major prostate cancer (PC)-susceptibility genes has been provided by multiple segregation analyses. Although genomewide screens have been performed in over a dozen independent studies, few chromosomal regions have been consistently identified as regions of interest. One of the major difficulties is genetic heterogeneity, possibly due to multiple, incompletely penetrant PC-susceptibility genes. In this study, we explored two approaches to overcome this difficulty, in an analysis of a large number of families with PC in the International Consortium for Prostate Cancer Genetics (ICPCG). One approach was to combine linkage data from a total of 1,233 families to increase the statistical power for detecting linkage. Using parametric (dominant and recessive) and nonparametric analyses, we identified five regions with "suggestive" linkage (LOD score >1.86): 5q12, 8p21, 15q11, 17q21, and 22q12. The second approach was to focus on subsets of families that are more likely to segregate highly penetrant mutations, including families with large numbers of affected individuals or early age at diagnosis. Stronger evidence of linkage in several regions was identified, including a "significant" linkage at 22q12, with a LOD score of 3.57, and five suggestive linkages (1q25, 8q13, 13q14, 16p13, and 17q21) in 269 families with at least five affected members. In addition, four additional suggestive linkages (3p24, 5q35, 11q22, and Xq12) were found in 606 families with mean age at diagnosis of < or = 65 years. Although it is difficult to determine the true statistical significance of these findings, a conservative interpretation of these results would be that if major PC-susceptibility genes do exist, they are most likely located in the regions generating suggestive or significant linkage signals in this large study.
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Affiliation(s)
- Jianfeng Xu
- Data Coordinating Center, ACTANE, BC/CA/HI, Johns Hopkins University, Mayo Clinic, PROGRESS, University of Michigan, University of Tampere and Tampere University Hospital, University of Ulm, University of Umeå, University of Utah, and National Cancer Institute
| | - Latchezar Dimitrov
- Data Coordinating Center, ACTANE, BC/CA/HI, Johns Hopkins University, Mayo Clinic, PROGRESS, University of Michigan, University of Tampere and Tampere University Hospital, University of Ulm, University of Umeå, University of Utah, and National Cancer Institute
| | - Bao-Li Chang
- Data Coordinating Center, ACTANE, BC/CA/HI, Johns Hopkins University, Mayo Clinic, PROGRESS, University of Michigan, University of Tampere and Tampere University Hospital, University of Ulm, University of Umeå, University of Utah, and National Cancer Institute
| | - Tamara S. Adams
- Data Coordinating Center, ACTANE, BC/CA/HI, Johns Hopkins University, Mayo Clinic, PROGRESS, University of Michigan, University of Tampere and Tampere University Hospital, University of Ulm, University of Umeå, University of Utah, and National Cancer Institute
| | - Aubrey R. Turner
- Data Coordinating Center, ACTANE, BC/CA/HI, Johns Hopkins University, Mayo Clinic, PROGRESS, University of Michigan, University of Tampere and Tampere University Hospital, University of Ulm, University of Umeå, University of Utah, and National Cancer Institute
| | - Deborah A. Meyers
- Data Coordinating Center, ACTANE, BC/CA/HI, Johns Hopkins University, Mayo Clinic, PROGRESS, University of Michigan, University of Tampere and Tampere University Hospital, University of Ulm, University of Umeå, University of Utah, and National Cancer Institute
| | - Rosalind A. Eeles
- Data Coordinating Center, ACTANE, BC/CA/HI, Johns Hopkins University, Mayo Clinic, PROGRESS, University of Michigan, University of Tampere and Tampere University Hospital, University of Ulm, University of Umeå, University of Utah, and National Cancer Institute
| | - Douglas F. Easton
- Data Coordinating Center, ACTANE, BC/CA/HI, Johns Hopkins University, Mayo Clinic, PROGRESS, University of Michigan, University of Tampere and Tampere University Hospital, University of Ulm, University of Umeå, University of Utah, and National Cancer Institute
| | - William D. Foulkes
- Data Coordinating Center, ACTANE, BC/CA/HI, Johns Hopkins University, Mayo Clinic, PROGRESS, University of Michigan, University of Tampere and Tampere University Hospital, University of Ulm, University of Umeå, University of Utah, and National Cancer Institute
| | - Jacques Simard
- Data Coordinating Center, ACTANE, BC/CA/HI, Johns Hopkins University, Mayo Clinic, PROGRESS, University of Michigan, University of Tampere and Tampere University Hospital, University of Ulm, University of Umeå, University of Utah, and National Cancer Institute
| | - Graham G. Giles
- Data Coordinating Center, ACTANE, BC/CA/HI, Johns Hopkins University, Mayo Clinic, PROGRESS, University of Michigan, University of Tampere and Tampere University Hospital, University of Ulm, University of Umeå, University of Utah, and National Cancer Institute
| | - John L. Hopper
- Data Coordinating Center, ACTANE, BC/CA/HI, Johns Hopkins University, Mayo Clinic, PROGRESS, University of Michigan, University of Tampere and Tampere University Hospital, University of Ulm, University of Umeå, University of Utah, and National Cancer Institute
| | - Lovise Mahle
- Data Coordinating Center, ACTANE, BC/CA/HI, Johns Hopkins University, Mayo Clinic, PROGRESS, University of Michigan, University of Tampere and Tampere University Hospital, University of Ulm, University of Umeå, University of Utah, and National Cancer Institute
| | - Pal Moller
- Data Coordinating Center, ACTANE, BC/CA/HI, Johns Hopkins University, Mayo Clinic, PROGRESS, University of Michigan, University of Tampere and Tampere University Hospital, University of Ulm, University of Umeå, University of Utah, and National Cancer Institute
| | - Tim Bishop
- Data Coordinating Center, ACTANE, BC/CA/HI, Johns Hopkins University, Mayo Clinic, PROGRESS, University of Michigan, University of Tampere and Tampere University Hospital, University of Ulm, University of Umeå, University of Utah, and National Cancer Institute
| | - Chris Evans
- Data Coordinating Center, ACTANE, BC/CA/HI, Johns Hopkins University, Mayo Clinic, PROGRESS, University of Michigan, University of Tampere and Tampere University Hospital, University of Ulm, University of Umeå, University of Utah, and National Cancer Institute
| | - Steve Edwards
- Data Coordinating Center, ACTANE, BC/CA/HI, Johns Hopkins University, Mayo Clinic, PROGRESS, University of Michigan, University of Tampere and Tampere University Hospital, University of Ulm, University of Umeå, University of Utah, and National Cancer Institute
| | - Julia Meitz
- Data Coordinating Center, ACTANE, BC/CA/HI, Johns Hopkins University, Mayo Clinic, PROGRESS, University of Michigan, University of Tampere and Tampere University Hospital, University of Ulm, University of Umeå, University of Utah, and National Cancer Institute
| | - Sarah Bullock
- Data Coordinating Center, ACTANE, BC/CA/HI, Johns Hopkins University, Mayo Clinic, PROGRESS, University of Michigan, University of Tampere and Tampere University Hospital, University of Ulm, University of Umeå, University of Utah, and National Cancer Institute
| | - Questa Hope
- Data Coordinating Center, ACTANE, BC/CA/HI, Johns Hopkins University, Mayo Clinic, PROGRESS, University of Michigan, University of Tampere and Tampere University Hospital, University of Ulm, University of Umeå, University of Utah, and National Cancer Institute
| | - ACTANE Consortium
- Data Coordinating Center, ACTANE, BC/CA/HI, Johns Hopkins University, Mayo Clinic, PROGRESS, University of Michigan, University of Tampere and Tampere University Hospital, University of Ulm, University of Umeå, University of Utah, and National Cancer Institute
| | - Chih-lin Hsieh
- Data Coordinating Center, ACTANE, BC/CA/HI, Johns Hopkins University, Mayo Clinic, PROGRESS, University of Michigan, University of Tampere and Tampere University Hospital, University of Ulm, University of Umeå, University of Utah, and National Cancer Institute
| | - Jerry Halpern
- Data Coordinating Center, ACTANE, BC/CA/HI, Johns Hopkins University, Mayo Clinic, PROGRESS, University of Michigan, University of Tampere and Tampere University Hospital, University of Ulm, University of Umeå, University of Utah, and National Cancer Institute
| | - Raymond N. Balise
- Data Coordinating Center, ACTANE, BC/CA/HI, Johns Hopkins University, Mayo Clinic, PROGRESS, University of Michigan, University of Tampere and Tampere University Hospital, University of Ulm, University of Umeå, University of Utah, and National Cancer Institute
| | - Ingrid Oakley-Girvan
- Data Coordinating Center, ACTANE, BC/CA/HI, Johns Hopkins University, Mayo Clinic, PROGRESS, University of Michigan, University of Tampere and Tampere University Hospital, University of Ulm, University of Umeå, University of Utah, and National Cancer Institute
| | - Alice S. Whittemore
- Data Coordinating Center, ACTANE, BC/CA/HI, Johns Hopkins University, Mayo Clinic, PROGRESS, University of Michigan, University of Tampere and Tampere University Hospital, University of Ulm, University of Umeå, University of Utah, and National Cancer Institute
| | - Charles M. Ewing
- Data Coordinating Center, ACTANE, BC/CA/HI, Johns Hopkins University, Mayo Clinic, PROGRESS, University of Michigan, University of Tampere and Tampere University Hospital, University of Ulm, University of Umeå, University of Utah, and National Cancer Institute
| | - Marta Gielzak
- Data Coordinating Center, ACTANE, BC/CA/HI, Johns Hopkins University, Mayo Clinic, PROGRESS, University of Michigan, University of Tampere and Tampere University Hospital, University of Ulm, University of Umeå, University of Utah, and National Cancer Institute
| | - Sarah D. Isaacs
- Data Coordinating Center, ACTANE, BC/CA/HI, Johns Hopkins University, Mayo Clinic, PROGRESS, University of Michigan, University of Tampere and Tampere University Hospital, University of Ulm, University of Umeå, University of Utah, and National Cancer Institute
| | - Patrick C. Walsh
- Data Coordinating Center, ACTANE, BC/CA/HI, Johns Hopkins University, Mayo Clinic, PROGRESS, University of Michigan, University of Tampere and Tampere University Hospital, University of Ulm, University of Umeå, University of Utah, and National Cancer Institute
| | - Kathleen E. Wiley
- Data Coordinating Center, ACTANE, BC/CA/HI, Johns Hopkins University, Mayo Clinic, PROGRESS, University of Michigan, University of Tampere and Tampere University Hospital, University of Ulm, University of Umeå, University of Utah, and National Cancer Institute
| | - William B. Isaacs
- Data Coordinating Center, ACTANE, BC/CA/HI, Johns Hopkins University, Mayo Clinic, PROGRESS, University of Michigan, University of Tampere and Tampere University Hospital, University of Ulm, University of Umeå, University of Utah, and National Cancer Institute
| | - Stephen N. Thibodeau
- Data Coordinating Center, ACTANE, BC/CA/HI, Johns Hopkins University, Mayo Clinic, PROGRESS, University of Michigan, University of Tampere and Tampere University Hospital, University of Ulm, University of Umeå, University of Utah, and National Cancer Institute
| | - Shannon K. McDonnell
- Data Coordinating Center, ACTANE, BC/CA/HI, Johns Hopkins University, Mayo Clinic, PROGRESS, University of Michigan, University of Tampere and Tampere University Hospital, University of Ulm, University of Umeå, University of Utah, and National Cancer Institute
| | - Julie M. Cunningham
- Data Coordinating Center, ACTANE, BC/CA/HI, Johns Hopkins University, Mayo Clinic, PROGRESS, University of Michigan, University of Tampere and Tampere University Hospital, University of Ulm, University of Umeå, University of Utah, and National Cancer Institute
| | - Katherine E. Zarfas
- Data Coordinating Center, ACTANE, BC/CA/HI, Johns Hopkins University, Mayo Clinic, PROGRESS, University of Michigan, University of Tampere and Tampere University Hospital, University of Ulm, University of Umeå, University of Utah, and National Cancer Institute
| | - Scott Hebbring
- Data Coordinating Center, ACTANE, BC/CA/HI, Johns Hopkins University, Mayo Clinic, PROGRESS, University of Michigan, University of Tampere and Tampere University Hospital, University of Ulm, University of Umeå, University of Utah, and National Cancer Institute
| | - Daniel J. Schaid
- Data Coordinating Center, ACTANE, BC/CA/HI, Johns Hopkins University, Mayo Clinic, PROGRESS, University of Michigan, University of Tampere and Tampere University Hospital, University of Ulm, University of Umeå, University of Utah, and National Cancer Institute
| | - Danielle M. Friedrichsen
- Data Coordinating Center, ACTANE, BC/CA/HI, Johns Hopkins University, Mayo Clinic, PROGRESS, University of Michigan, University of Tampere and Tampere University Hospital, University of Ulm, University of Umeå, University of Utah, and National Cancer Institute
| | - Kerry Deutsch
- Data Coordinating Center, ACTANE, BC/CA/HI, Johns Hopkins University, Mayo Clinic, PROGRESS, University of Michigan, University of Tampere and Tampere University Hospital, University of Ulm, University of Umeå, University of Utah, and National Cancer Institute
| | - Suzanne Kolb
- Data Coordinating Center, ACTANE, BC/CA/HI, Johns Hopkins University, Mayo Clinic, PROGRESS, University of Michigan, University of Tampere and Tampere University Hospital, University of Ulm, University of Umeå, University of Utah, and National Cancer Institute
| | - Michael Badzioch
- Data Coordinating Center, ACTANE, BC/CA/HI, Johns Hopkins University, Mayo Clinic, PROGRESS, University of Michigan, University of Tampere and Tampere University Hospital, University of Ulm, University of Umeå, University of Utah, and National Cancer Institute
| | - Gail P. Jarvik
- Data Coordinating Center, ACTANE, BC/CA/HI, Johns Hopkins University, Mayo Clinic, PROGRESS, University of Michigan, University of Tampere and Tampere University Hospital, University of Ulm, University of Umeå, University of Utah, and National Cancer Institute
| | - Marta Janer
- Data Coordinating Center, ACTANE, BC/CA/HI, Johns Hopkins University, Mayo Clinic, PROGRESS, University of Michigan, University of Tampere and Tampere University Hospital, University of Ulm, University of Umeå, University of Utah, and National Cancer Institute
| | - Leroy Hood
- Data Coordinating Center, ACTANE, BC/CA/HI, Johns Hopkins University, Mayo Clinic, PROGRESS, University of Michigan, University of Tampere and Tampere University Hospital, University of Ulm, University of Umeå, University of Utah, and National Cancer Institute
| | - Elaine A. Ostrander
- Data Coordinating Center, ACTANE, BC/CA/HI, Johns Hopkins University, Mayo Clinic, PROGRESS, University of Michigan, University of Tampere and Tampere University Hospital, University of Ulm, University of Umeå, University of Utah, and National Cancer Institute
| | - Janet L. Stanford
- Data Coordinating Center, ACTANE, BC/CA/HI, Johns Hopkins University, Mayo Clinic, PROGRESS, University of Michigan, University of Tampere and Tampere University Hospital, University of Ulm, University of Umeå, University of Utah, and National Cancer Institute
| | - Ethan M. Lange
- Data Coordinating Center, ACTANE, BC/CA/HI, Johns Hopkins University, Mayo Clinic, PROGRESS, University of Michigan, University of Tampere and Tampere University Hospital, University of Ulm, University of Umeå, University of Utah, and National Cancer Institute
| | - Jennifer L. Beebe-Dimmer
- Data Coordinating Center, ACTANE, BC/CA/HI, Johns Hopkins University, Mayo Clinic, PROGRESS, University of Michigan, University of Tampere and Tampere University Hospital, University of Ulm, University of Umeå, University of Utah, and National Cancer Institute
| | - Caroline E. Mohai
- Data Coordinating Center, ACTANE, BC/CA/HI, Johns Hopkins University, Mayo Clinic, PROGRESS, University of Michigan, University of Tampere and Tampere University Hospital, University of Ulm, University of Umeå, University of Utah, and National Cancer Institute
| | - Kathleen A. Cooney
- Data Coordinating Center, ACTANE, BC/CA/HI, Johns Hopkins University, Mayo Clinic, PROGRESS, University of Michigan, University of Tampere and Tampere University Hospital, University of Ulm, University of Umeå, University of Utah, and National Cancer Institute
| | - Tarja Ikonen
- Data Coordinating Center, ACTANE, BC/CA/HI, Johns Hopkins University, Mayo Clinic, PROGRESS, University of Michigan, University of Tampere and Tampere University Hospital, University of Ulm, University of Umeå, University of Utah, and National Cancer Institute
| | - Agnes Baffoe-Bonnie
- Data Coordinating Center, ACTANE, BC/CA/HI, Johns Hopkins University, Mayo Clinic, PROGRESS, University of Michigan, University of Tampere and Tampere University Hospital, University of Ulm, University of Umeå, University of Utah, and National Cancer Institute
| | - Henna Fredriksson
- Data Coordinating Center, ACTANE, BC/CA/HI, Johns Hopkins University, Mayo Clinic, PROGRESS, University of Michigan, University of Tampere and Tampere University Hospital, University of Ulm, University of Umeå, University of Utah, and National Cancer Institute
| | - Mika P. Matikainen
- Data Coordinating Center, ACTANE, BC/CA/HI, Johns Hopkins University, Mayo Clinic, PROGRESS, University of Michigan, University of Tampere and Tampere University Hospital, University of Ulm, University of Umeå, University of Utah, and National Cancer Institute
| | - Teuvo LJ Tammela
- Data Coordinating Center, ACTANE, BC/CA/HI, Johns Hopkins University, Mayo Clinic, PROGRESS, University of Michigan, University of Tampere and Tampere University Hospital, University of Ulm, University of Umeå, University of Utah, and National Cancer Institute
| | - Joan Bailey-Wilson
- Data Coordinating Center, ACTANE, BC/CA/HI, Johns Hopkins University, Mayo Clinic, PROGRESS, University of Michigan, University of Tampere and Tampere University Hospital, University of Ulm, University of Umeå, University of Utah, and National Cancer Institute
| | - Johanna Schleutker
- Data Coordinating Center, ACTANE, BC/CA/HI, Johns Hopkins University, Mayo Clinic, PROGRESS, University of Michigan, University of Tampere and Tampere University Hospital, University of Ulm, University of Umeå, University of Utah, and National Cancer Institute
| | - Christiane Maier
- Data Coordinating Center, ACTANE, BC/CA/HI, Johns Hopkins University, Mayo Clinic, PROGRESS, University of Michigan, University of Tampere and Tampere University Hospital, University of Ulm, University of Umeå, University of Utah, and National Cancer Institute
| | - Kathleen Herkommer
- Data Coordinating Center, ACTANE, BC/CA/HI, Johns Hopkins University, Mayo Clinic, PROGRESS, University of Michigan, University of Tampere and Tampere University Hospital, University of Ulm, University of Umeå, University of Utah, and National Cancer Institute
| | - Josef J. Hoegel
- Data Coordinating Center, ACTANE, BC/CA/HI, Johns Hopkins University, Mayo Clinic, PROGRESS, University of Michigan, University of Tampere and Tampere University Hospital, University of Ulm, University of Umeå, University of Utah, and National Cancer Institute
| | - Walther Vogel
- Data Coordinating Center, ACTANE, BC/CA/HI, Johns Hopkins University, Mayo Clinic, PROGRESS, University of Michigan, University of Tampere and Tampere University Hospital, University of Ulm, University of Umeå, University of Utah, and National Cancer Institute
| | - Thomas Paiss
- Data Coordinating Center, ACTANE, BC/CA/HI, Johns Hopkins University, Mayo Clinic, PROGRESS, University of Michigan, University of Tampere and Tampere University Hospital, University of Ulm, University of Umeå, University of Utah, and National Cancer Institute
| | - Fredrik Wiklund
- Data Coordinating Center, ACTANE, BC/CA/HI, Johns Hopkins University, Mayo Clinic, PROGRESS, University of Michigan, University of Tampere and Tampere University Hospital, University of Ulm, University of Umeå, University of Utah, and National Cancer Institute
| | - Monica Emanuelsson
- Data Coordinating Center, ACTANE, BC/CA/HI, Johns Hopkins University, Mayo Clinic, PROGRESS, University of Michigan, University of Tampere and Tampere University Hospital, University of Ulm, University of Umeå, University of Utah, and National Cancer Institute
| | - Elisabeth Stenman
- Data Coordinating Center, ACTANE, BC/CA/HI, Johns Hopkins University, Mayo Clinic, PROGRESS, University of Michigan, University of Tampere and Tampere University Hospital, University of Ulm, University of Umeå, University of Utah, and National Cancer Institute
| | - Björn-Anders Jonsson
- Data Coordinating Center, ACTANE, BC/CA/HI, Johns Hopkins University, Mayo Clinic, PROGRESS, University of Michigan, University of Tampere and Tampere University Hospital, University of Ulm, University of Umeå, University of Utah, and National Cancer Institute
| | - Henrik Grönberg
- Data Coordinating Center, ACTANE, BC/CA/HI, Johns Hopkins University, Mayo Clinic, PROGRESS, University of Michigan, University of Tampere and Tampere University Hospital, University of Ulm, University of Umeå, University of Utah, and National Cancer Institute
| | - Nicola J. Camp
- Data Coordinating Center, ACTANE, BC/CA/HI, Johns Hopkins University, Mayo Clinic, PROGRESS, University of Michigan, University of Tampere and Tampere University Hospital, University of Ulm, University of Umeå, University of Utah, and National Cancer Institute
| | - James Farnham
- Data Coordinating Center, ACTANE, BC/CA/HI, Johns Hopkins University, Mayo Clinic, PROGRESS, University of Michigan, University of Tampere and Tampere University Hospital, University of Ulm, University of Umeå, University of Utah, and National Cancer Institute
| | - Lisa A. Cannon-Albright
- Data Coordinating Center, ACTANE, BC/CA/HI, Johns Hopkins University, Mayo Clinic, PROGRESS, University of Michigan, University of Tampere and Tampere University Hospital, University of Ulm, University of Umeå, University of Utah, and National Cancer Institute
| | - Daniela Seminara
- Data Coordinating Center, ACTANE, BC/CA/HI, Johns Hopkins University, Mayo Clinic, PROGRESS, University of Michigan, University of Tampere and Tampere University Hospital, University of Ulm, University of Umeå, University of Utah, and National Cancer Institute
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Narla G, Difeo A, Reeves HL, Schaid DJ, Hirshfeld J, Hod E, Katz A, Isaacs WB, Hebbring S, Komiya A, McDonnell SK, Wiley KE, Jacobsen SJ, Isaacs SD, Walsh PC, Zheng SL, Chang BL, Friedrichsen DM, Stanford JL, Ostrander EA, Chinnaiyan AM, Rubin MA, Xu J, Thibodeau SN, Friedman SL, Martignetti JA. A germline DNA polymorphism enhances alternative splicing of the KLF6 tumor suppressor gene and is associated with increased prostate cancer risk. Cancer Res 2005; 65:1213-22. [PMID: 15735005 DOI: 10.1158/0008-5472.can-04-4249] [Citation(s) in RCA: 180] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
Prostate cancer is a leading and increasingly prevalent cause of cancer death in men. Whereas family history of disease is one of the strongest prostate cancer risk factors and suggests a hereditary component, the predisposing genetic factors remain unknown. We first showed that KLF6 is a tumor suppressor somatically inactivated in prostate cancer and since then, its functional loss has been further established in prostate cancer cell lines and other human cancers. Wild-type KLF6, but not patient-derived mutants, suppresses cell growth through p53-independent transactivation of p21. Here we show that a germline KLF6 single nucleotide polymorphism, confirmed in a tri-institutional study of 3,411 men, is significantly associated with an increased relative risk of prostate cancer in men, regardless of family history of disease. This prostate cancer-associated allele generates a novel functional SRp40 DNA binding site and increases transcription of three alternatively spliced KLF6 isoforms. The KLF6 variant proteins KLF6-SV1 and KLF6-SV2 are mislocalized to the cytoplasm, antagonize wtKLF6 function, leading to decreased p21 expression and increased cell growth, and are up-regulated in tumor versus normal prostatic tissue. Thus, these results are the first to identify a novel mechanism of self-encoded tumor suppressor gene inactivation and link a relatively common single nucleotide polymorphism to both regulation of alternative splicing and an increased risk in a major human cancer.
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Affiliation(s)
- Goutham Narla
- Department of Medicine, Mount Sinai School of Medicine, New York, New York, USA
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Gillanders EM, Xu J, Chang BL, Lange EM, Wiklund F, Bailey-Wilson JE, Baffoe-Bonnie A, Jones M, Gildea D, Riedesel E, Albertus J, Isaacs SD, Wiley KE, Mohai CE, Matikainen MP, Tammela TLJ, Zheng SL, Brown WM, Rökman A, Carpten JD, Meyers DA, Walsh PC, Schleutker J, Gronberg H, Cooney KA, Isaacs WB, Trent JM. Combined genome-wide scan for prostate cancer susceptibility genes. J Natl Cancer Inst 2004; 96:1240-7. [PMID: 15316059 DOI: 10.1093/jnci/djh228] [Citation(s) in RCA: 62] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023] Open
Abstract
BACKGROUND Prostate cancer represents a substantial public health burden worldwide. It is the second leading cause of cancer death among men in the United States. A family history of the disease is among the most well-established risk factors for prostate cancer. Efforts to localize prostate cancer susceptibility alleles by using genetic linkage analysis methods have been hindered by genetic heterogeneity, incomplete penetrance, disease phenocopies, and the lack of DNA samples from parents of individuals with late-onset prostate cancer. METHODS We performed a combined genome-wide linkage analysis among 426 families from four existing hereditary prostate cancer (HPC) study populations to systematically search for prostate cancer susceptibility genes. To decrease the degree of locus heterogeneity, we analyzed subsets of families with similar clinical and demographic characteristics. Nonparametric multipoint linkage was the primary method of analysis. Results are presented as allele-sharing logarithm of the odds (LOD) scores, and all reported P values are two-sided. RESULTS The strongest evidence for prostate cancer linkage was found at chromosome region 17q22 (nonparametric multipoint Kong and Cox allele-sharing LOD score = 3.16 at marker D17S787; P =.00007). Stratified analyses revealed several additional chromosomal regions that are likely to segregate prostate cancer susceptibility genes among specific subsets of HPC families, including 15q11 among families with late-onset disease (allele-sharing LOD = 5.57 at marker D15S128; P<.00001) and 4q35 among families with four or more affected family members (allele-sharing LOD = 3.10 at marker D4S1615; P =.00008). CONCLUSION Fine mapping studies to facilitate identification of prostate cancer susceptibility genes in these linked regions are warranted.
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Affiliation(s)
- Elizabeth M Gillanders
- National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
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40
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Hawkins GA, Chang BL, Zheng SL, Isaacs SD, Wiley KE, Bleecker ER, Walsh PC, Meyers DA, Xu J, Isaacs WB. Mutational analysis of PINX1 in hereditary prostate cancer. Prostate 2004; 60:298-302. [PMID: 15264240 DOI: 10.1002/pros.20075] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
BACKGROUND Telomerase activity is increased in most tumors. PinX1 has recently been identified as a critical component in regulating telomerase activity. The PinX1 gene is located within chromosomal region 8p22-23, a region associated with LOH and potentially linked to increased prostate cancer risk. METHODS PINX1 was re-sequenced in 159 hereditary prostate cancer (HPC) probands. Four non-synonymous coding variants were genotyped in 159 HPC families. RESULTS Thirty-nine polymorphisms were identified in the HPC screening panel. Ten coding polymorphisms were identified, seven (Gln50His, Leu91Met, Gln206His, Arg215Ile, Thr220Ala, Ser254Cys, and Glu414Ala) of which were non-synonymous. The most common variants Thr220Ala and Ser254Cys were not significantly over-transmitted from affected parent to affected offspring. CONCLUSIONS Based on these results, we conclude that PINX1 is not a major factor for HPC risk.
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Affiliation(s)
- Gregory A Hawkins
- Center for Human Genomics, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA
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Brown WM, Lange EM, Chen H, Zheng SL, Chang B, Wiley KE, Isaacs SD, Walsh PC, Isaacs WB, Xu J, Cooney KA. Hereditary prostate cancer in African American families: linkage analysis using markers that map to five candidate susceptibility loci. Br J Cancer 2004; 90:510-4. [PMID: 14735201 PMCID: PMC2410149 DOI: 10.1038/sj.bjc.6601417] [Citation(s) in RCA: 26] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023] Open
Abstract
African American men have the highest incidence of prostate cancer in the world. Despite this statistic, linkage studies designed to localise prostate cancer susceptibility alleles have included primarily men of Caucasian descent. In this report, we performed a linkage analysis using 33 African American prostate cancer families from two independent research groups. In total, 126 individuals (including 89 men with prostate cancer) were genotyped using markers that map to five prostate cancer susceptibility loci, namely HPC1 at 1q24–25, PCAP at 1q42.2–43, CAPB at 1p36, HPC20 on chromosome 20, and HPCX at Xq27–28. Multipoint mode-of-inheritance-free linkage analyses were performed using the GENEHUNTER software. Some evidence of prostate cancer was detected to HPC1 using all families with a maximum NPL Z score of 1.12 near marker D1S413 (P=0.13). Increased evidence of linkage was observed in the 24 families with prostate cancer diagnosis prior to age 65 years and in the 20 families with male-to-male transmission. Some evidence of prostate cancer linkage was also detected at markers mapping to PCAP, HPC20, and HPCX. Continued collection and analysis of African American prostate cancer families will lead to an improved understanding of inherited susceptibility in this high-risk group.
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Affiliation(s)
- W M Brown
- Department of Public Health Sciences, Wake Forest University School of Medicine, Winston-Salem, NC 27157, USA
| | - E M Lange
- Department of Public Health Sciences, Wake Forest University School of Medicine, Winston-Salem, NC 27157, USA
| | - H Chen
- Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, MI 48109, USA
- Department of Urology, University of Michigan Medical School, Ann Arbor, MI 48109, USA
- Ann Arbor Department of Veteran's Affairs, Ann Arbor, MI 48109, USA
| | - S L Zheng
- Center for Human Genomics, Wake Forest University School of Medicine, Winston-Salem, NC 27157, USA
| | - B Chang
- Center for Human Genomics, Wake Forest University School of Medicine, Winston-Salem, NC 27157, USA
| | - K E Wiley
- Brady Urological Institute, Johns Hopkins Hospital, Baltimore, MD 21287, USA
| | - S D Isaacs
- Brady Urological Institute, Johns Hopkins Hospital, Baltimore, MD 21287, USA
| | - P C Walsh
- Brady Urological Institute, Johns Hopkins Hospital, Baltimore, MD 21287, USA
| | - W B Isaacs
- Brady Urological Institute, Johns Hopkins Hospital, Baltimore, MD 21287, USA
| | - J Xu
- Department of Public Health Sciences, Wake Forest University School of Medicine, Winston-Salem, NC 27157, USA
- Center for Human Genomics, Wake Forest University School of Medicine, Winston-Salem, NC 27157, USA
| | - K A Cooney
- Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, MI 48109, USA
- Department of Urology, University of Michigan Medical School, Ann Arbor, MI 48109, USA
- Ann Arbor Department of Veteran's Affairs, Ann Arbor, MI 48109, USA
- 7310 CCGC, 1500 East Medical Center Drive, Ann Arbor, MI 48109-0946, USA. E-mail:
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42
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Chang BL, Zheng SL, Isaacs SD, Turner A, Hawkins GA, Wiley KE, Bleecker ER, Walsh PC, Meyers DA, Isaacs WB, Xu J. Polymorphisms in the CYP1B1 gene are associated with increased risk of prostate cancer. Br J Cancer 2003; 89:1524-9. [PMID: 14562027 PMCID: PMC2394327 DOI: 10.1038/sj.bjc.6601288] [Citation(s) in RCA: 50] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
Abstract
CYP1B1 has been evaluated as a candidate gene for various cancers because of its function in activating environmental procarcinogens and catalysing the conversion of oestrogens to genotoxic catechol oestrogens. To test the hypothesis that genetic polymorphisms in the CYP1B1 gene may associate with the risk for prostate cancer (CaP), we compared the allele, genotype, and haplotype frequencies of 13 single nucleotide polymorphisms (SNPs) of CYP1B1 among 159 hereditary prostate cancer (HPC) probands, 245 sporadic CaP cases, and 222 unaffected men. When each of the SNPs was analysed separately, marginally significant differences were observed for allele frequencies between sporadic cases and controls for three consecutive SNPs (−1001C/T, −263G/A, and −13C/T, P=0.04–0.07). Similarly, marginally significant differences between sporadic cases and controls in the frequency of variant allele carriers were observed for five consecutive SNPs (−1001C/T, −263G/A, −13C/T, +142C/G, and +355G/T, P=0.02–0.08). Interestingly, when the combination of these five SNPs was analysed using a haplotype approach, a larger difference was found (P=0.009). One frequent haplotype (C-G-C-C-G of −1001C/T, −263G/A, −13C/T, +142C/G, and +355G/T) was associated with an increased risk for CaP, while the other frequent haplotype (T-A-T-G-T) was associated with a decreased risk for CaP. These findings suggest that genetic polymorphisms in CYP1B1 may modify the risk for CaP.
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Affiliation(s)
- B L Chang
- Center for Human Genomics, Wake Forest University School of Medicine, Medical Center Boulevard, Winston-Salem, NC 27157, USA
| | - S L Zheng
- Center for Human Genomics, Wake Forest University School of Medicine, Medical Center Boulevard, Winston-Salem, NC 27157, USA
| | - S D Isaacs
- Department of Urology, Johns Hopkins Medical Institutions, Baltimore, MD, USA
| | - A Turner
- Center for Human Genomics, Wake Forest University School of Medicine, Medical Center Boulevard, Winston-Salem, NC 27157, USA
| | - G A Hawkins
- Center for Human Genomics, Wake Forest University School of Medicine, Medical Center Boulevard, Winston-Salem, NC 27157, USA
| | - K E Wiley
- Department of Urology, Johns Hopkins Medical Institutions, Baltimore, MD, USA
| | - E R Bleecker
- Center for Human Genomics, Wake Forest University School of Medicine, Medical Center Boulevard, Winston-Salem, NC 27157, USA
| | - P C Walsh
- Department of Urology, Johns Hopkins Medical Institutions, Baltimore, MD, USA
| | - D A Meyers
- Center for Human Genomics, Wake Forest University School of Medicine, Medical Center Boulevard, Winston-Salem, NC 27157, USA
| | - W B Isaacs
- Department of Urology, Johns Hopkins Medical Institutions, Baltimore, MD, USA
| | - J Xu
- Center for Human Genomics, Wake Forest University School of Medicine, Medical Center Boulevard, Winston-Salem, NC 27157, USA
- Center for Human Genomics, Wake Forest University School of Medicine, Medical Center Boulevard, Winston-Salem, NC 27157, USA. E-mail:
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43
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Abstract
OBJECTIVES To evaluate familial aggregation and the mode of inheritance of bothersome benign prostatic hyperplasia (BPH). METHODS During an extension of the North American Finasteride Trial, 301 of 895 patients and 158 spousal controls completed a family history questionnaire. Segregation analysis was performed to examine the mode of inheritance in first-degree relatives of the 301 probands. RESULTS The lifetime cumulative probability of bothersome BPH was similar in relatives of those with BPH (0.35; 95% confidence interval [CI] 0.28 to 0.44) and spousal controls (0.36; 95% CI 0.22 to 0.56), but the age of onset was significantly earlier in relatives of cases than controls (P = 0.001). Fathers of those with BPH had a significantly elevated risk of bothersome BPH (unadjusted odds ratio [OR] 2.1; 95% CI 1.2 to 3.8) and brothers had a significantly elevated risk of both bothersome BPH (OR 3.5; 95% CI 1.7 to 7.3) and transurethral resection of the prostate (OR 3.6; 95% CI 1.4 to 8.8). After adjusting for family size, the risk of bothersome BPH increased approximately twofold with each additional affected first-degree relative (0 relatives, OR 1.0; 1 relative, OR 1.7; 2 relatives, OR 4.7). Segregation analysis suggested a rare autosomal codominant allele (frequency 0.0004). CONCLUSIONS These findings confirm previous findings that family history and early age of onset are associated with an increased risk of BPH and that the most likely mode of inheritance is autosomal dominant or codominant. Bothersome BPH appears to have a weaker genetic component than more restrictive definitions of hereditary BPH. Thus, linkage studies are more likely to be successful if they focus on stricter definitions of hereditary BPH (eg, early onset, large volume, strong family history) rather than symptomatic or clinical BPH.
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Affiliation(s)
- Jay D Pearson
- Department of Epidemiology, Merck Research Laboratories, Merck and Co., Inc., West Point, Pennsylvania 19486-0004, USA
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Xu J, Zheng SL, Komiya A, Mychaleckyj JC, Isaacs SD, Chang B, Turner AR, Ewing CM, Wiley KE, Hawkins GA, Bleecker ER, Walsh PC, Meyers DA, Isaacs WB. Common sequence variants of the macrophage scavenger receptor 1 gene are associated with prostate cancer risk. Am J Hum Genet 2003; 72:208-12. [PMID: 12471593 PMCID: PMC378627 DOI: 10.1086/345802] [Citation(s) in RCA: 70] [Impact Index Per Article: 3.3] [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: 09/12/2002] [Accepted: 10/24/2002] [Indexed: 12/21/2022] Open
Abstract
Rare germline mutations of macrophage scavenger receptor 1 (MSR1) gene were reported to be associated with prostate cancer risk in families with hereditary prostate cancer (HPC) and in patients with non-HPC (Xu et al. 2002). To further evaluate the role of MSR1 in prostate cancer susceptibility, at Johns Hopkins Hospital, we studied five common variants of MSR1 in 301 patients with non-HPC who underwent prostate cancer treatment and in 250 control subjects who participated in prostate cancer-screening programs and had normal digital rectal examination and PSA levels (<4 ng/ml). Significantly different allele frequencies between case subjects and control subjects were observed for each of the five variants (P value range.01-.04). Haplotype analyses provided consistent findings, with a significant difference in the haplotype frequencies from a global score test (P=.01). Because the haplotype that is associated with the increased risk for prostate cancer did not harbor any of the known rare mutations, it appears that the observed association of common variants and prostate cancer risk are independent of the effect of the known rare mutations. These results consistently suggest that MSR1 may play an important role in prostate carcinogenesis.
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Affiliation(s)
- Jianfeng Xu
- Center for Human Genomics, Wake Forest University School of Medicine, Winston-Salem, and Brady Urological Institute, Johns Hopkins Medical Institution, Baltimore
| | - S. Lilly Zheng
- Center for Human Genomics, Wake Forest University School of Medicine, Winston-Salem, and Brady Urological Institute, Johns Hopkins Medical Institution, Baltimore
| | - Akira Komiya
- Center for Human Genomics, Wake Forest University School of Medicine, Winston-Salem, and Brady Urological Institute, Johns Hopkins Medical Institution, Baltimore
| | - Josyf C. Mychaleckyj
- Center for Human Genomics, Wake Forest University School of Medicine, Winston-Salem, and Brady Urological Institute, Johns Hopkins Medical Institution, Baltimore
| | - Sarah D. Isaacs
- Center for Human Genomics, Wake Forest University School of Medicine, Winston-Salem, and Brady Urological Institute, Johns Hopkins Medical Institution, Baltimore
| | - Baoli Chang
- Center for Human Genomics, Wake Forest University School of Medicine, Winston-Salem, and Brady Urological Institute, Johns Hopkins Medical Institution, Baltimore
| | - Aubrey R. Turner
- Center for Human Genomics, Wake Forest University School of Medicine, Winston-Salem, and Brady Urological Institute, Johns Hopkins Medical Institution, Baltimore
| | - Charles M. Ewing
- Center for Human Genomics, Wake Forest University School of Medicine, Winston-Salem, and Brady Urological Institute, Johns Hopkins Medical Institution, Baltimore
| | - Kathleen E. Wiley
- Center for Human Genomics, Wake Forest University School of Medicine, Winston-Salem, and Brady Urological Institute, Johns Hopkins Medical Institution, Baltimore
| | - Gregory A. Hawkins
- Center for Human Genomics, Wake Forest University School of Medicine, Winston-Salem, and Brady Urological Institute, Johns Hopkins Medical Institution, Baltimore
| | - Eugene R. Bleecker
- Center for Human Genomics, Wake Forest University School of Medicine, Winston-Salem, and Brady Urological Institute, Johns Hopkins Medical Institution, Baltimore
| | - Patrick C. Walsh
- Center for Human Genomics, Wake Forest University School of Medicine, Winston-Salem, and Brady Urological Institute, Johns Hopkins Medical Institution, Baltimore
| | - Deborah A. Meyers
- Center for Human Genomics, Wake Forest University School of Medicine, Winston-Salem, and Brady Urological Institute, Johns Hopkins Medical Institution, Baltimore
| | - William B. Isaacs
- Center for Human Genomics, Wake Forest University School of Medicine, Winston-Salem, and Brady Urological Institute, Johns Hopkins Medical Institution, Baltimore
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Xu J, Zheng SL, Komiya A, Mychaleckyj JC, Isaacs SD, Hu JJ, Sterling D, Lange EM, Hawkins GA, Turner A, Ewing CM, Faith DA, Johnson JR, Suzuki H, Bujnovszky P, Wiley KE, DeMarzo AM, Bova GS, Chang B, Hall MC, McCullough DL, Partin AW, Kassabian VS, Carpten JD, Bailey-Wilson JE, Trent JM, Ohar J, Bleecker ER, Walsh PC, Isaacs WB, Meyers DA. Germline mutations and sequence variants of the macrophage scavenger receptor 1 gene are associated with prostate cancer risk. Nat Genet 2002; 32:321-5. [PMID: 12244320 DOI: 10.1038/ng994] [Citation(s) in RCA: 266] [Impact Index Per Article: 12.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2002] [Accepted: 08/19/2002] [Indexed: 11/10/2022]
Abstract
Deletions on human chromosome 8p22-23 in prostate cancer cells and linkage studies in families affected with hereditary prostate cancer (HPC) have implicated this region in the development of prostate cancer. The macrophage scavenger receptor 1 gene (MSR1, also known as SR-A) is located at 8p22 and functions in several processes proposed to be relevant to prostate carcinogenesis. Here we report the results of genetic analyses that indicate that mutations in MSR1 may be associated with risk of prostate cancer. Among families affected with HPC, we identified six rare missense mutations and one nonsense mutation in MSR1. A family-based linkage and association test indicated that these mutations co-segregate with prostate cancer (P = 0.0007). In addition, among men of European descent, MSR1 mutations were detected in 4.4% of individuals affected with non-HPC as compared with 0.8% of unaffected men (P = 0.009). Among African American men, these values were 12.5% and 1.8%, respectively (P = 0.01). These results show that MSR1 may be important in susceptibility to prostate cancer in men of both African American and European descent.
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Affiliation(s)
- Jianfeng Xu
- Center for Human Genomics and the Department of Public Health, Wake Forest University School of Medicine, Winston-Salem, North Carolina 27157, USA
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Hawkins GA, Mychaleckyj JC, Zheng SL, Faith DA, Kelly B, Isaacs SD, Wiley KE, Chang BL, Ewing CM, Bujnovszky P, Bleecker ER, Walsh PC, Meyers DA, Isaacs WB, Xu J. Germline sequence variants of the LZTS1 gene are associated with prostate cancer risk. Cancer Genet Cytogenet 2002; 137:1-7. [PMID: 12377406 DOI: 10.1016/s0165-4608(02)00549-6] [Citation(s) in RCA: 18] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
Abstract
The 8p22 through p23 region has been identified as a potential site for genes associated with prostate cancer. The gene LZTS1 has been mapped to the 8p22 through p23 region and identified as a potential tumor suppressor based on loss of heterozygosity studies using primary esophageal tumors. Sequence analysis of mRNA from various tumors has revealed multiple mutations and aberrant mRNA transcripts. The most recent report associates LZTS1 function with stabilization of p34(cdc2) during the late S-G2/M stage of mitosis, affecting normal cell growth. In this study, a detailed DNA sequence analysis of LZTS1 was performed in a screening panel consisting of sporadic and hereditary prostate cancer (HPC) cases and unaffected controls. Twenty-four SNP, 15 of which were novel, were identified in germline DNA. Four coding SNP were identified. Eleven informative SNP were genotyped in 159 HPC probands, 245 sporadic prostate cancer cases, and 222 unaffected controls. Four of these SNP were statistically significant for association with prostate cancer (P < or = 0.04). These results add evidence supporting a role of LZTS1 in prostate cancer risk.
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Affiliation(s)
- Gregory A Hawkins
- Center for Human Genomics, Wake Forest University School of Medicine, Winston-Salem, NC, USA
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Katugampola SD, Maguire JJ, Kuc RE, Wiley KE, Davenport AP. Discovery of recently adopted orphan receptors for apelin, urotensin II, and ghrelin identified using novel radioligands and functional role in the human cardiovascular system. Can J Physiol Pharmacol 2002; 80:369-74. [PMID: 12056541 DOI: 10.1139/y02-029] [Citation(s) in RCA: 51] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
Using novel synthetic radioligands, we have discovered receptors for the recently paired apelin (APJ orphan receptor), ghrelin (GHS orphan receptor), and urotensin II (orphan GPR14) in the human cardiovascular system and determined their anatomical localisation. In addition, we have established functional vasoactive properties for these three peptides as potential vasoconstrictor/vasodilator mediators and provided evidence for alteration of receptor density in cardiovascular disease. We find that receptors for apelin, ghrelin, and urotensin II are widely distributed in human cardiovascular tissue, suggesting perhaps vasoactive roles for these peptides in human vascular physiology and a potential role in pathophysiology. Apelin and urotensin II are potent vasoconstrictors with low efficacy, consistent with their low receptor density. Ghrelin receptor density was increased (approximately three- to fourfold) with atherosclerosis of coronary artery disease and accelerated atherosclerosis of saphenous vein grafts, compared with normal vessels, highlighting a potentially beneficial role for this novel vasodilator peptide in human vascular disease. Our approach has demonstrated one successful strategy for translating genetic information encoding recently paired orphan receptor ligands into discovery of function. This study has the advantage of focussing on the actual disease processes, which allow the more precise identification of novel therapeutic targets.
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Affiliation(s)
- S D Katugampola
- University of Cambridge, Centre for Clinical Investigation, Addenbrooke's Hospital, UK
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48
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Chang B, Zheng SL, Isaacs SD, Wiley KE, Carpten JD, Hawkins GA, Bleecker ER, Walsh PC, Trent JM, Meyers DA, Isaacs WB, Xu J. Linkage and association of CYP17 gene in hereditary and sporadic prostate cancer. Int J Cancer 2001; 95:354-9. [PMID: 11668516 DOI: 10.1002/1097-0215(20011120)95:6<354::aid-ijc1062>3.0.co;2-3] [Citation(s) in RCA: 31] [Impact Index Per Article: 1.3] [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] [Indexed: 11/10/2022]
Abstract
Androgens are essential for prostate development, growth and maintenance and the association between androgen levels and prostate cancer is well established. Since the CYP17 gene encodes the enzyme cytochrome P450c17alpha, which mediates 17alpha-hydroxylase and 17,20-lyase activities in the androgen biosynthesis pathway, sequence variations in the gene and association with increased risk to prostate cancer has been studied. In particular, several groups have studied the association between a polymorphism in the 5' promoter region and prostate cancer using a population-based association approach. However, the results from these studies were inconclusive. To further study this polymorphism and its possible role in hereditary prostate cancer (HPC), we performed a genetic linkage analysis and family-based association analysis in 159 families, each of which contains at least 3 first-degree relatives with prostate cancer. In addition, we performed a population-based association analysis to compare the risk of this polymorphism to hereditary and sporadic prostate cancer in 159 HPC probands, 249 sporadic prostate cancer patients and 211 unaffected control subjects. Evidence for linkage at the CYP17 gene region was found in the total 159 HPC families (LOD = 1.3, p = 0.01, at marker D10S222). However, family-based association tests did not provide evidence for overtransmission of either allele of the CYP17 polymorphism to affected individuals in the HPC families. The allele and genotype frequencies of the polymorphism were not statistically different among the HPC probands, sporadic cases and unaffected control subjects. In conclusion, our results suggest that the CYP17 gene or other genes in the region may increase the susceptibility to prostate cancer in men; however, the polymorphism in the 5' promoter region has a minor role if any in increasing prostate cancer susceptibility in our study sample.
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Affiliation(s)
- B Chang
- University of Maryland School of Medicine, Baltimore, MD, USA
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Xu J, Zheng SL, Hawkins GA, Faith DA, Kelly B, Isaacs SD, Wiley KE, Chang BL, Ewing CM, Bujnovszky P, Carpten JD, Bleecker ER, Walsh PC, Trent JM, Meyers DA, Isaacs WB. Linkage and association studies of prostate cancer susceptibility: evidence for linkage at 8p22-23. Am J Hum Genet 2001; 69:341-50. [PMID: 11443539 PMCID: PMC1235306 DOI: 10.1086/321967] [Citation(s) in RCA: 117] [Impact Index Per Article: 5.1] [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: 03/08/2001] [Accepted: 05/15/2001] [Indexed: 11/03/2022] Open
Abstract
Multiple lines of evidence have implicated the short arm of chromosome 8 as harboring genes important in prostate carcinogenesis. Although most of this evidence comes from the identification of frequent somatic alterations of 8p loci in prostate cancer cells (e.g., loss of heterozygosity), studies have also suggested a role for 8p genes in mediation of inherited susceptibility to prostate cancer. To further examine this latter possibility, we performed linkage analyses, in 159 pedigrees affected by hereditary prostate cancer (HPC), using 24 markers on the short arm of chromosome 8. In the complete set of families, evidence for prostate cancer linkage was found at 8p22-23, with a peak HLOD of 1.84 (P=.004), and an estimate of the proportion of families linked (alpha) of 0.14, at D8S1130. In the 79 families with average age at diagnosis >65 years, an allele-sharing LOD score of 2.64 (P=.0005) was observed, and six markers spanning a distance of 10 cM had LOD scores >2.0. Interestingly, the small number of Ashkenazi Jewish pedigrees (n=11) analyzed in this study contributed disproportionately to this linkage. Mutation screening in HPC probands and association analyses in case subjects (a group that includes HPC probands and unrelated case subjects) and unaffected control subjects were carried out for the putative prostate cancer-susceptibility gene, PG1, previously localized to the 8p22-23 region. No statistical differences in the allele, genotype, or haplotype frequencies of the SNPs or other sequence variants in the PG1 gene were observed between case and control subjects. However, case subjects demonstrated a trend toward higher homozygous rates of less-frequent alleles in all three PG1 SNPs, and overtransmission of a PG1 variant to case subjects was observed. In summary, these results provide evidence for the existence of a prostate cancer-susceptibility gene at 8p22-23. Evaluation of the PG1 gene and other candidate genes in this area appears warranted.
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Affiliation(s)
- Jianfeng Xu
- Center for Human Genomics, Wake Forest University School of Medicine, Winston-Salem, NC; University of Maryland School of Medicine, and Department of Urology, Johns Hopkins Medical Institutions, Baltimore; and National Human Genome Research Institute, National Institutes of Health, Bethesda, MD
| | - Siqun L. Zheng
- Center for Human Genomics, Wake Forest University School of Medicine, Winston-Salem, NC; University of Maryland School of Medicine, and Department of Urology, Johns Hopkins Medical Institutions, Baltimore; and National Human Genome Research Institute, National Institutes of Health, Bethesda, MD
| | - Gregory A. Hawkins
- Center for Human Genomics, Wake Forest University School of Medicine, Winston-Salem, NC; University of Maryland School of Medicine, and Department of Urology, Johns Hopkins Medical Institutions, Baltimore; and National Human Genome Research Institute, National Institutes of Health, Bethesda, MD
| | - Dennis A. Faith
- Center for Human Genomics, Wake Forest University School of Medicine, Winston-Salem, NC; University of Maryland School of Medicine, and Department of Urology, Johns Hopkins Medical Institutions, Baltimore; and National Human Genome Research Institute, National Institutes of Health, Bethesda, MD
| | - Brian Kelly
- Center for Human Genomics, Wake Forest University School of Medicine, Winston-Salem, NC; University of Maryland School of Medicine, and Department of Urology, Johns Hopkins Medical Institutions, Baltimore; and National Human Genome Research Institute, National Institutes of Health, Bethesda, MD
| | - Sarah D. Isaacs
- Center for Human Genomics, Wake Forest University School of Medicine, Winston-Salem, NC; University of Maryland School of Medicine, and Department of Urology, Johns Hopkins Medical Institutions, Baltimore; and National Human Genome Research Institute, National Institutes of Health, Bethesda, MD
| | - Kathleen E. Wiley
- Center for Human Genomics, Wake Forest University School of Medicine, Winston-Salem, NC; University of Maryland School of Medicine, and Department of Urology, Johns Hopkins Medical Institutions, Baltimore; and National Human Genome Research Institute, National Institutes of Health, Bethesda, MD
| | - Bao-li Chang
- Center for Human Genomics, Wake Forest University School of Medicine, Winston-Salem, NC; University of Maryland School of Medicine, and Department of Urology, Johns Hopkins Medical Institutions, Baltimore; and National Human Genome Research Institute, National Institutes of Health, Bethesda, MD
| | - Charles M. Ewing
- Center for Human Genomics, Wake Forest University School of Medicine, Winston-Salem, NC; University of Maryland School of Medicine, and Department of Urology, Johns Hopkins Medical Institutions, Baltimore; and National Human Genome Research Institute, National Institutes of Health, Bethesda, MD
| | - Piroska Bujnovszky
- Center for Human Genomics, Wake Forest University School of Medicine, Winston-Salem, NC; University of Maryland School of Medicine, and Department of Urology, Johns Hopkins Medical Institutions, Baltimore; and National Human Genome Research Institute, National Institutes of Health, Bethesda, MD
| | - John D. Carpten
- Center for Human Genomics, Wake Forest University School of Medicine, Winston-Salem, NC; University of Maryland School of Medicine, and Department of Urology, Johns Hopkins Medical Institutions, Baltimore; and National Human Genome Research Institute, National Institutes of Health, Bethesda, MD
| | - Eugene R. Bleecker
- Center for Human Genomics, Wake Forest University School of Medicine, Winston-Salem, NC; University of Maryland School of Medicine, and Department of Urology, Johns Hopkins Medical Institutions, Baltimore; and National Human Genome Research Institute, National Institutes of Health, Bethesda, MD
| | - Patrick C. Walsh
- Center for Human Genomics, Wake Forest University School of Medicine, Winston-Salem, NC; University of Maryland School of Medicine, and Department of Urology, Johns Hopkins Medical Institutions, Baltimore; and National Human Genome Research Institute, National Institutes of Health, Bethesda, MD
| | - Jeffrey M. Trent
- Center for Human Genomics, Wake Forest University School of Medicine, Winston-Salem, NC; University of Maryland School of Medicine, and Department of Urology, Johns Hopkins Medical Institutions, Baltimore; and National Human Genome Research Institute, National Institutes of Health, Bethesda, MD
| | - Deborah A. Meyers
- Center for Human Genomics, Wake Forest University School of Medicine, Winston-Salem, NC; University of Maryland School of Medicine, and Department of Urology, Johns Hopkins Medical Institutions, Baltimore; and National Human Genome Research Institute, National Institutes of Health, Bethesda, MD
| | - William B. Isaacs
- Center for Human Genomics, Wake Forest University School of Medicine, Winston-Salem, NC; University of Maryland School of Medicine, and Department of Urology, Johns Hopkins Medical Institutions, Baltimore; and National Human Genome Research Institute, National Institutes of Health, Bethesda, MD
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Abstract
The ability of four endogenous vasodilators, nitric oxide (NO; 0.01 - 30 microM), atrial (ANP), brain (BNP) and C-type (CNP) natriuretic peptide (0.1 - 300 nM), to reverse endothelin-1 (ET-1; 10 nM) constrictions in human resistance and conductance coronary arteries (CA) in vitro was investigated. ET-1 (0.1 - 300 nM) constricted resistance CA more potently than conductance CA (P<0.05; EC(50) values 2.98 nM (95% CI: 1.49 - 5.95 nM and 8.58 (4.72 - 15.6 nM) respectively)). The NO-donor diethylamine NONOate fully reversed the ET-1 constriction in conductance CA (E(MAX) 127+/-9.16%), however only partial reversal was observed in resistance CA (E(MAX) 78.8+/-8.13; P<0.05). The soluble guanylate cyclase inhibitor 1H-[1,2,4]oxadiazolo[4,3-a]quinoxalin-1-one (100 microM) reduced the maximum response to diethylamine NONOate to 76.9+/-14.4% in conductance CA (P<0.05), but had no effect on resistance CA (E(MAX) 77.2+/-18.4%). There was no difference between responses to ANP in conductance and resistance CA (EC(50) values 4.25 nM (0.84 - 21.4 nM) and 18.4 nM (2.92 - 116 nM), E(MAX) 53.1+/-14.7% and 48.6+/-11.8% respectively). BNP was a more potent vasodilator of conductance than resistance CA. In conductance CA the mean EC(50) value was 2.4 nM (0.74 - 7.75 nM), E(MAX) 54.5+/-14.9%. Concentration-response curves to BNP were incomplete in resistance CA. Concentration-response curves to CNP were incomplete in both conductance and resistance CA. The greater potency of ET-1 in resistance vessels may exacerbate the effects of increased circulating levels of the peptide in disease. Only NO could fully reverse ET-1 mediated constrictions in conductance CA, and none of the dilators tested could completely counteract constrictions in resistance CA.
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Affiliation(s)
- K E Wiley
- Clinical Pharmacology Unit, University of Cambridge, Level 6, Centre for Clinical Investigation, Box 110, Addenbrooke's Hospital, Cambridge, CB2 2QQ.
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