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Saunders EJ, Dadaev T, Brook MN, Wakerell S, Govindasami K, Rageevakumar R, Hussain N, Osborne A, Keating D, Lophatananon A, Muir KR, Darst BF, Conti DV, Haiman CA, Antoniou AC, Eeles RA, Kote-Jarai Z. Identification of Genes with Rare Loss of Function Variants Associated with Aggressive Prostate Cancer and Survival. Eur Urol Oncol 2024; 7:248-257. [PMID: 38458890 DOI: 10.1016/j.euo.2024.02.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2023] [Revised: 01/10/2024] [Accepted: 02/09/2024] [Indexed: 03/10/2024]
Abstract
BACKGROUND Prostate cancer (PrCa) is a substantial cause of mortality among men globally. Rare germline mutations in BRCA2 have been validated robustly as increasing risk of aggressive forms with a poorer prognosis; however, evidence remains less definitive for other genes. OBJECTIVE To detect genes associated with PrCa aggressiveness, through a pooled analysis of rare variant sequencing data from six previously reported studies in the UK Genetic Prostate Cancer Study (UKGPCS). DESIGN, SETTING, AND PARTICIPANTS We accumulated a cohort of 6805 PrCa cases, in which a set of ten candidate genes had been sequenced in all samples. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS We examined the association between rare putative loss of function (pLOF) variants in each gene and aggressive classification (defined as any of death from PrCa, metastatic disease, stage T4, or both stage T3 and Gleason score ≥8). Secondary analyses examined staging phenotypes individually. Cox proportional hazards modelling and Kaplan-Meier survival analyses were used to further examine the relationship between mutation status and survival. RESULTS AND LIMITATIONS We observed associations between PrCa aggressiveness and pLOF mutations in ATM, BRCA2, MSH2, and NBN (odds ratio = 2.67-18.9). These four genes and MLH1 were additionally associated with one or more secondary analysis phenotype. Carriers of germline mutations in these genes experienced shorter PrCa-specific survival (hazard ratio = 2.15, 95% confidence interval 1.79-2.59, p = 4 × 10-16) than noncarriers. CONCLUSIONS This study provides further support that rare pLOF variants in specific genes are likely to increase aggressive PrCa risk and may help define the panel of informative genes for screening and treatment considerations. PATIENT SUMMARY By combining data from several previous studies, we have been able to enhance knowledge regarding genes in which inherited mutations would be expected to increase the risk of more aggressive PrCa. This may, in the future, aid in the identification of men at an elevated risk of dying from PrCa.
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Affiliation(s)
- Edward J Saunders
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
| | - Tokhir Dadaev
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
| | - Mark N Brook
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
| | - Sarah Wakerell
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
| | - Koveela Govindasami
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
| | - Reshma Rageevakumar
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
| | - Nafisa Hussain
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
| | - Andrea Osborne
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
| | - Diana Keating
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
| | | | - Kenneth R Muir
- Division of Population Health, University of Manchester, Manchester, UK
| | - Burcu F Darst
- Center for Genetic Epidemiology, Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA, USA; Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - David V Conti
- Center for Genetic Epidemiology, Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA, USA
| | - Christopher A Haiman
- Center for Genetic Epidemiology, Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA, USA
| | - Antonis C Antoniou
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Rosalind A Eeles
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK; The Royal Marsden NHS Foundation Trust, London, UK
| | - Zsofia Kote-Jarai
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK.
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Ke TM, Lophatananon A, Muir KR. An Integrative Pancreatic Cancer Risk Prediction Model in the UK Biobank. Biomedicines 2023; 11:3206. [PMID: 38137427 PMCID: PMC10740416 DOI: 10.3390/biomedicines11123206] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2023] [Revised: 11/20/2023] [Accepted: 11/26/2023] [Indexed: 12/24/2023] Open
Abstract
Pancreatic cancer (PaCa) is a lethal cancer with an increasing incidence, highlighting the need for early prevention strategies. There is a lack of a comprehensive PaCa predictive model derived from large prospective cohorts. Therefore, we have developed an integrated PaCa risk prediction model for PaCa using data from the UK Biobank, incorporating lifestyle-related, genetic-related, and medical history-related variables for application in healthcare settings. We used a machine learning-based random forest approach and a traditional multivariable logistic regression method to develop a PaCa predictive model for different purposes. Additionally, we employed dynamic nomograms to visualize the probability of PaCa risk in the prediction model. The top five influential features in the random forest model were age, PRS, pancreatitis, DM, and smoking. The significant risk variables in the logistic regression model included male gender (OR = 1.17), age (OR = 1.10), non-O blood type (OR = 1.29), higher polygenic score (PRS) (Q5 vs. Q1, OR = 2.03), smoking (OR = 1.82), alcohol consumption (OR = 1.27), pancreatitis (OR = 3.99), diabetes (DM) (OR = 2.57), and gallbladder-related disease (OR = 2.07). The area under the receiver operating curve (AUC) of the logistic regression model is 0.78. Internal validation and calibration performed well in both models. Our integrative PaCa risk prediction model with the PRS effectively stratifies individuals at future risk of PaCa, aiding targeted prevention efforts and supporting community-based cancer prevention initiatives.
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Affiliation(s)
| | | | - Kenneth R. Muir
- Division of Population Health, Health Services Research and Primary Care, School of Health Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester M13 9PT, UK; (T.-M.K.); (A.L.)
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Lophatananon A, Carr M, Mcmillan B, Dobson C, Itzhaki R, Parisi R, Ashcroft DM, Muir KR. The association of herpes zoster and influenza vaccinations with the risk of developing dementia: a population-based cohort study within the UK Clinical Practice Research Datalink. BMC Public Health 2023; 23:1903. [PMID: 37784088 PMCID: PMC10546661 DOI: 10.1186/s12889-023-16768-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2022] [Accepted: 09/15/2023] [Indexed: 10/04/2023] Open
Abstract
BACKGROUND Dementia affects ability to remember, think, or make decisions that interfere with doing everyday activities. There is no cure, therefore any prevention or delay of the onset is of importance. This study aims to investigate the association between zoster and influenza vaccinations and the risk of developing dementia. METHODS We conducted a retrospective population-based cohort study using electronic health records from 1469 general practices contributing to the Clinical Practice Research Datalink (CPRD) Aurum database with linked hospital episode statistics (HES) and Office for National Statistics (ONS) mortality records. We built two 'matched cohorts': zoster vaccine (854,745 exposed individuals) matched with 8.8 million comparators without a history of zoster vaccination, and influenza vaccine (742,487 exposed individuals) matched with 7.12 million comparators without a history of vaccination as another comparator group. The cohorts were then followed to assess the association of exposure (vaccine) with outcome (dementia diagnosis). RESULTS Zoster vaccination was associated with a lower risk of dementia diagnosis (adjusted hazard ratio (HR) 0.78 with 95% CI: 0.77-0.79), Alzheimer's diagnosis (adjusted HR 0.91 with 95% CI: 0.89-0.92 and other types of dementia (adjusted HR 0.71 with 95% CI: 0.69-0.72). Influenza vaccination also was associated with a slightly reduced hazard of dementia risk (adjusted HR 0.96 with 95% CI: 0.94-0.97). CONCLUSION Both zoster vaccine for prevention of shingles / herpes zoster and influenza vaccine to prevent influenza were associated with diminished risk of dementia, with the zoster association appearing more pronounced.
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Affiliation(s)
- Artitaya Lophatananon
- Division of Population Health, Health Services Research and Primary Care, School of Health Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, M13 9PT, UK
| | - Matthew Carr
- Centre for Pharmacoepidemiology and Drug Safety, Division of Pharmacy & Optometry, School of Health Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, M13 9PT, Manchester, UK
- NIHR Greater Manchester Patient Safety Translational Research Centre (PSTRC), School of Health Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, M13 9PT, UK
| | - Brian Mcmillan
- Division of Population Health, Health Services Research and Primary Care, School of Health Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, M13 9PT, UK
| | - Curtis Dobson
- Centre for Pharmacoepidemiology and Drug Safety, Division of Pharmacy & Optometry, School of Health Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, M13 9PT, Manchester, UK
| | - Ruth Itzhaki
- The Oxford Institute of Population Ageing, University of Oxford, Oxford, OX2 6PR, UK
| | - Rosa Parisi
- Division of Informatics, Imaging & Data Sciences, School of Health Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, M13 9PT, UK
| | - Darren M Ashcroft
- Centre for Pharmacoepidemiology and Drug Safety, Division of Pharmacy & Optometry, School of Health Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, M13 9PT, Manchester, UK
- NIHR Greater Manchester Patient Safety Translational Research Centre (PSTRC), School of Health Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, M13 9PT, UK
| | - Kenneth R Muir
- Division of Population Health, Health Services Research and Primary Care, School of Health Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, M13 9PT, UK.
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Mekli K, Lophatananon A, Maharani A, Nazroo JY, Muir KR. Association between an inflammatory biomarker score and future dementia diagnosis in the population-based UK Biobank cohort of 500,000 people. PLoS One 2023; 18:e0288045. [PMID: 37467176 DOI: 10.1371/journal.pone.0288045] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2022] [Accepted: 06/19/2023] [Indexed: 07/21/2023] Open
Abstract
This study was designed to investigate the relationship between a systematic inflammatory biomarker measure, concurrent and later cognitive performance, and future dementia risk. The literature has reported the potential involvement of inflammation in cognitive performance as well as Alzheimer's Disease, but not consistently. We used a population-based cohort of 500,000 people in the UK and assessed the association between a composite inflammatory biomarker and cognitive performance measures across five domains measured concurrently and 4-13 years later, taking advantage of the large sample size. We also assessed the same biomarker's association with dementia diagnosis 3-11 years later in the initially dementia-free sample. We report small but significant associations between elevated biomarker levels and worsened cognitive performance at baseline for four cognitive tasks (OR = 1.204, p<0.001 for Prospective memory, β = -0.366, p<0.001 for Fluid intelligence, β = 8.819, p<0.001 for Reaction time, and β = -0.224, p<0.001 for Numeric memory), comparing the highest quartile of the biomarker to the lowest. We also found that for one measure (Pairs matching) higher biomarker levels were associated with fewer errors, i.e. better performance (β = -0.096, p<0.001). We also report that the 4th quartiles of the baseline biomarker levels were significantly associated with cognitive task scores assessed years later on the p< = 0.002 level, except for the Pair matching test, for which none of the quartiles remained a significant predictor. Finally, the highest biomarker quartile was significantly associated with increased dementia risk compared to the lowest quartile (HR = 1.349, p<0.001). A case-only analysis to assess disease subtype heterogeneity suggested probable differences in the association with the highest biomarker quartile between vascular dementia and Alzheimer disease subtypes (OR = 1.483, p = 0.055). Our results indicate that systemic inflammation may play a small but significant part in dementia pathophysiology, especially in vascular dementia.
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Affiliation(s)
- Krisztina Mekli
- Cathie Marsh Institute and Sociology, The University of Manchester, Manchester, United Kingdom
| | - Artitaya Lophatananon
- Division of Population Health, Health Services Research and Primary Care, The University of Manchester, Manchester, United Kingdom
| | - Asri Maharani
- Department of Nursing, Manchester Metropolitan University, Manchester, United Kingdom
| | - James Y Nazroo
- Cathie Marsh Institute and Sociology, The University of Manchester, Manchester, United Kingdom
| | - Kenneth R Muir
- Division of Population Health, Health Services Research and Primary Care, The University of Manchester, Manchester, United Kingdom
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Yu X, Lophatananon A, Mekli K, Muir KR, Guo H. Exploring the causal role of the immune response to varicella-zoster virus on multiple traits: a phenome-wide Mendelian randomization study. BMC Med 2023; 21:143. [PMID: 37046283 PMCID: PMC10099693 DOI: 10.1186/s12916-023-02843-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/29/2022] [Accepted: 03/20/2023] [Indexed: 04/14/2023] Open
Abstract
BACKGROUND The immune response to infections could be largely driven by the individual's genes, especially in the major histocompatibility complex (MHC) region. Varicella-zoster virus (VZV) is a highly communicable pathogen. In addition to infection, the reactivations of VZV can be a potential causal factor for multiple traits. Identification of VZV immune response-related health conditions can therefore help elucidate the aetiology of certain diseases. METHODS A phenome-wide Mendelian randomization (MR) study of anti-VZV immunoglobulin G (IgG) levels with 1370 traits was conducted to explore the potential causal role of VZV-specific immune response on multiple traits using the UK Biobank cohort. For the robustness of the results, we performed MR analyses using five different methods. To investigate the impact of the MHC region on MR results, the analyses were conducted using instrumental variables (IVs) inside (IVmhc) and outside (IVno.mhc) the MHC region or all together (IVfull). RESULTS Forty-nine single nucleotide polymorphisms (IVfull) were associated with anti-VZV IgG levels, of which five (IVmhc) were located in the MHC region and 44 (IVno.mhc) were not. Statistical evidence (false discovery rate < 0.05 in at least three of the five MR methods) for a causal effect of anti-VZV IgG levels was found on 22 traits using IVmhc, while no evidence was found when using IVno.mhc or IVfull. The reactivations of VZV increased the risk of Dupuytren disease, mononeuropathies of the upper limb, sarcoidosis, coeliac disease, teeth problems and earlier onset of allergic rhinitis, which evidence was concordant with the literature. Suggestive causal evidence (P < 0.05 in at least three of five MR methods) using IVfull, IVmhc and IVno.mhc was detected in 92, 194 and 56 traits, respectively. MR results from IVfull correlated with those from IVmhc or IVno.mhc. However, the results between IVmhc and IVno.mhc were noticeably different, as evidenced by causal associations in opposite directions between anti-VZV IgG and ten traits. CONCLUSIONS In this exploratory study, anti-VZV IgG was causally associated with multiple traits. IVs in the MHC region might have a substantial impact on MR, and therefore, could be potentially considered in future MR studies.
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Affiliation(s)
- Xinzhu Yu
- Centre for Biostatistics, Division of Population Health, Health Services Research & Primary Care, School of Health Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Oxford Road, Manchester, M13 9PL, UK
| | - Artitaya Lophatananon
- Centre for Integrated Genomic Medicine, Division of Population Health, Health Services Research & Primary Care, School of Health Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Oxford Road, Manchester, M13 9PL, UK
| | - Krisztina Mekli
- Centre for Integrated Genomic Medicine, Division of Population Health, Health Services Research & Primary Care, School of Health Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Oxford Road, Manchester, M13 9PL, UK
| | - Kenneth R Muir
- Centre for Integrated Genomic Medicine, Division of Population Health, Health Services Research & Primary Care, School of Health Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Oxford Road, Manchester, M13 9PL, UK
| | - Hui Guo
- Centre for Biostatistics, Division of Population Health, Health Services Research & Primary Care, School of Health Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Oxford Road, Manchester, M13 9PL, UK.
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Brook MN, Ní Raghallaigh H, Govindasami K, Dadaev T, Rageevakumar R, Keating D, Hussain N, Osborne A, Lophatananon A, Muir KR, Kote-Jarai Z, Eeles RA. Family History of Prostate Cancer and Survival Outcomes in the UK Genetic Prostate Cancer Study. Eur Urol 2023; 83:257-266. [PMID: 36528478 DOI: 10.1016/j.eururo.2022.11.019] [Citation(s) in RCA: 5] [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: 07/17/2022] [Revised: 11/09/2022] [Accepted: 11/23/2022] [Indexed: 12/23/2022]
Abstract
BACKGROUND A family history (FH) of prostate cancer (PrCa) is associated with an increased likelihood of PrCa diagnosis. Conflicting evidence exists regarding familial PrCa and clinical outcomes among PrCa patients, including all-cause mortality/overall survival (OS), PrCa-specific survival (PCSS), aggressive histology, and stage at diagnosis. OBJECTIVE To determine how the number, degree, and age of a PrCa patient's affected relatives are associated with OS and PCSS of those already diagnosed with PrCa. DESIGN, SETTING, AND PARTICIPANTS The UK Genetic Prostate Cancer Study is a longitudinal, multi-institutional, observational study collecting baseline and follow-up clinical data since 1992. We examined OS and PCSS in 16340 men by degree and number of relatives with prostate and genetically related cancers (breast, ovarian, and colorectal). OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS The primary outcome was all-cause mortality among PrCa patients. The risk of death with respect to FH was assessed by calculating hazard ratios from Cox proportional hazard regression models, adjusting for relevant factors. RESULTS AND LIMITATIONS A stronger FH was inversely associated with the risk of all-cause and PrCa-specific mortality. This association was greater in those with an increasing number (p-trend < 0.001) and increasing closeness (p-trend < 0.001) of the diagnosed relatives. Patients with at least one first-degree relative were at a lower risk of all-cause mortality than those with no FH (hazard ratio = 0.82 [95% confidence interval 0.75-0.89]). The population is largely of European ancestry, and this may cause an issue with representation and generalisation. Data are missing on epidemiological risk factors for death such as smoking and on comorbidities. Recall of family members' diagnoses may affect the classification of FH in unconfirmed cases. CONCLUSIONS Based on the investigation of the type and timing of relatives' cancers, it is likely that reductions in mortality are due almost completely to a greater awareness of the disease. This study provides information for clinicians guiding patients and their relatives based on their familial risk. It shows the importance of screening and awareness programmes, which are likely to improve survival among men with an FH. PATIENT SUMMARY We were interested in how a family history of prostate cancer affects survival in prostate cancer patients. We studied 16340 patients, categorised them according to the strength of their family history, and found that the stronger their family history, the better they did in terms of overall survival. We looked at the type and timing of patients' diagnoses compared with those of their relatives and found that this effect is likely to be explained by awareness, which indicates the importance of screening and awareness programmes.
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Affiliation(s)
| | | | | | | | | | | | | | | | - Artitaya Lophatananon
- Division of Population Health, Health Services Research and Primary Care, University of Manchester, Manchester, UK
| | | | - Kenneth R Muir
- Division of Population Health, Health Services Research and Primary Care, University of Manchester, Manchester, UK
| | | | - Rosalind A Eeles
- The Institute of Cancer Research, London, UK; Royal Marsden NHS Foundation Trust, London, UK
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Ke TM, Lophatananon A, Muir KR. Risk Factors Associated with Pancreatic Cancer in the UK Biobank Cohort. Cancers (Basel) 2022; 14:cancers14204991. [PMID: 36291775 PMCID: PMC9599736 DOI: 10.3390/cancers14204991] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2022] [Revised: 09/16/2022] [Accepted: 10/10/2022] [Indexed: 01/18/2023] Open
Abstract
Evidence on pancreatic cancer (PaCa) risk factors from large population-based cohort studies is limited. This study investigated the PaCa risk factors and the population attributable fraction (PAF) of modifiable risk factors in the UK Biobank cohort. The UK Biobank is a prospective cohort consisting of 502,413 participants with a mean follow-up time of 8.2 years. A binomial generalized linear regression model was used to calculate relative risks for PaCa risk factors. PAF was calculated to estimate the proportional reduction in PaCa if modifiable risk factors were to be eliminated. A total of 728 (0.14%) PaCa incident cases and 412,922 (82.19%) non-PaCa controls were analyzed. The non-modifiable risk factors included age and gender. The modifiable risk factors were cigarette smoking, overweight and obesity, increased waist circumstance, abdominal obesity, Diabetic Mellitus (DM), and pancreatitis history. The PAF suggested that eliminating smoking and obesity can contribute around a 16% reduction in PaCa cases while avoiding abdominal obesity can eliminate PaCa cases by 22%. Preventing pancreatitis and DM could potentially reduce PaCa cases by 1% and 6%, respectively. This study has identified modifiable and non-modifiable PaCa risk factors in the UK population. The PAF of modifiable risk factors can be applied to inform PaCa prevention programs.
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Kitson SJ, Aurangzeb O, Parvaiz J, Lophatananon A, Muir KR, Crosbie EJ. Quantifying the Effect of Physical Activity on Endometrial Cancer Risk. Cancer Prev Res (Phila) 2022; 15:605-621. [PMID: 35696722 PMCID: PMC7613481 DOI: 10.1158/1940-6207.capr-22-0129] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [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: 03/16/2022] [Revised: 05/03/2022] [Accepted: 06/09/2022] [Indexed: 11/16/2022]
Abstract
Endometrial cancer incidence is rising, with 435,000 global cases in 2019. An effective, low-cost primary prevention strategy is required to reduce disease burden. Obesity, insulin resistance, and inflammation contribute to endometrial carcinogenesis and physical activity targets these pathways. This study sought to quantify the amount of physical activity required to impact upon endometrial cancer risk. Physical activity data from 222,031 female participants with an intact uterus in the UK Biobank study were analyzed using a multivariable Cox proportional hazards model. A systematic review of the literature was performed, searching CENTRAL, Embase, and MEDLINE databases up to April 19, 2021. Studies including participants with and without endometrial cancer investigating the effect of physical activity measured in MET-hours/week (MET-h/week) on disease risk were included. Two reviewers independently selected studies, extracted data, and evaluated the risk of bias. Within the UK Biobank, each 1 MET-h/week increase in total physical activity was associated with a 0.2% [95% confidence interval (CI), 0.1-0.4; P = 0.020] reduction in endometrial cancer risk, equating to a 10.4% reduction if performing 50 MET-h/week or 7 hours of jogging per week. Eleven cohort and 12 case-control studies were identified in the systematic review, including 821,599 participants. One study reported a nonsignificant effect of 1 MET-h/week increases in physical activity on endometrial cancer risk (OR, 1.00; 95% CI, 0.99-1.00). Eight studies found significant reductions in disease risk of 15%-53%, but only in the most physically active individuals. Physical activity reduces endometrial cancer risk, but the effect size appears small. Regular vigorous activity should be encouraged to maximize the health benefit observed. PREVENTION RELEVANCE Effective, low-cost primary prevention strategies are urgently needed to tackle the rapid global increase in endometrial cancer. We sought to quantify the effect of physical activity on endometrial cancer risk, noting a linear inverse relationship influenced by body mass index. The most beneficial type and amount of activity remain unclear.
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Affiliation(s)
- Sarah J Kitson
- Gynaecological Oncology Research Group, Division of Cancer Sciences, Faculty of Biology, Medicine and Health, University of Manchester, St Mary's Hospital, Manchester, United Kingdom
| | - Olivia Aurangzeb
- Gynaecological Oncology Research Group, Division of Cancer Sciences, Faculty of Biology, Medicine and Health, University of Manchester, St Mary's Hospital, Manchester, United Kingdom
| | - Jawaria Parvaiz
- Gynaecological Oncology Research Group, Division of Cancer Sciences, Faculty of Biology, Medicine and Health, University of Manchester, St Mary's Hospital, Manchester, United Kingdom
| | - Artitaya Lophatananon
- Division of Population Health, Health Services Research and Primary Care, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, United Kingdom
| | - Kenneth R Muir
- Division of Population Health, Health Services Research and Primary Care, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, United Kingdom
| | - Emma J Crosbie
- Gynaecological Oncology Research Group, Division of Cancer Sciences, Faculty of Biology, Medicine and Health, University of Manchester, St Mary's Hospital, Manchester, United Kingdom.,Department of Obstetrics and Gynaecology, St Mary's Hospital, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, United Kingdom
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Yu X, Lophatananon A, Mekli K, Burns A, Muir KR, Guo H. A suggested shared aetiology of dementia - a colocalization study. Neurobiol Aging 2022; 117:71-82. [PMID: 35675752 DOI: 10.1016/j.neurobiolaging.2022.05.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2021] [Revised: 05/05/2022] [Accepted: 05/07/2022] [Indexed: 11/11/2022]
Abstract
Identification of shared causal genes between dementia and its related clinical outcomes can help understand shared aetiology and multimorbidity surrounding dementia. We performed the HyPrColoc colocalization analysis to detect possible shared causal genes between dementia or Alzheimer's disease (AD) and 5 selected traits: stroke, diabetes, atherosclerosis, cholesterol level, and alcohol consumption within 601 dementia or AD associated genetic regions using summary results of the UK Biobank genome-wide association studies. Functional analysis was performed on the candidate causal genes to explore potential biological pathways. Rs150562240 in the LPIN3 gene was identified as a candidate shared causal variant across dementia, AD and atherosclerosis. Evidence for pairwise colocalization between dementia and stroke, dementia (or AD) and atherosclerosis, and dementia (or AD) and diabetes was found in 2, 6 and 2 genetic regions respectively. Colocalization signals between diabetes and the other 3 non-dementia/AD traits were detected in 5 regions. The colocalization evidence shown in our study suggested shared aetiology between dementia and related diseases such as stroke, atherosclerosis, and diabetes.
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Affiliation(s)
- Xinzhu Yu
- Centre for Biostatistics, Division of Population Health, Health Services Research & Primary Care, School of Health Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester UK
| | - Artitaya Lophatananon
- Centre for Integrated Genomic Medicine, Division of Population Health, Health Services Research & Primary Care, School of Health Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester UK
| | - Krisztina Mekli
- Centre for Integrated Genomic Medicine, Division of Population Health, Health Services Research & Primary Care, School of Health Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester UK
| | - Alistair Burns
- Division of Neuroscience and Experimental Psychology, School of Social Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester UK
| | - Kenneth R Muir
- Centre for Integrated Genomic Medicine, Division of Population Health, Health Services Research & Primary Care, School of Health Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester UK
| | - Hui Guo
- Centre for Biostatistics, Division of Population Health, Health Services Research & Primary Care, School of Health Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester UK.
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Huynh-Le MP, Karunamuni R, Fan CC, Asona L, Thompson WK, Martinez ME, Eeles RA, Kote-Jarai Z, Muir KR, Lophatananon A, Schleutker J, Pashayan N, Batra J, Grönberg H, Neal DE, Nordestgaard BG, Tangen CM, MacInnis RJ, Wolk A, Albanes D, Haiman CA, Travis RC, Blot WJ, Stanford JL, Mucci LA, West CML, Nielsen SF, Kibel AS, Cussenot O, Berndt SI, Koutros S, Sørensen KD, Cybulski C, Grindedal EM, Menegaux F, Park JY, Ingles SA, Maier C, Hamilton RJ, Rosenstein BS, Lu YJ, Watya S, Vega A, Kogevinas M, Wiklund F, Penney KL, Huff CD, Teixeira MR, Multigner L, Leach RJ, Brenner H, John EM, Kaneva R, Logothetis CJ, Neuhausen SL, De Ruyck K, Ost P, Razack A, Newcomb LF, Fowke JH, Gamulin M, Abraham A, Claessens F, Castelao JE, Townsend PA, Crawford DC, Petrovics G, van Schaik RHN, Parent MÉ, Hu JJ, Zheng W, Mills IG, Andreassen OA, Dale AM, Seibert TM. Prostate cancer risk stratification improvement across multiple ancestries with new polygenic hazard score. Prostate Cancer Prostatic Dis 2022; 25:755-761. [PMID: 35152271 PMCID: PMC9372232 DOI: 10.1038/s41391-022-00497-7] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2021] [Accepted: 01/12/2022] [Indexed: 01/14/2023]
Abstract
BACKGROUND Prostate cancer risk stratification using single-nucleotide polymorphisms (SNPs) demonstrates considerable promise in men of European, Asian, and African genetic ancestries, but there is still need for increased accuracy. We evaluated whether including additional SNPs in a prostate cancer polygenic hazard score (PHS) would improve associations with clinically significant prostate cancer in multi-ancestry datasets. METHODS In total, 299 SNPs previously associated with prostate cancer were evaluated for inclusion in a new PHS, using a LASSO-regularized Cox proportional hazards model in a training dataset of 72,181 men from the PRACTICAL Consortium. The PHS model was evaluated in four testing datasets: African ancestry, Asian ancestry, and two of European Ancestry-the Cohort of Swedish Men (COSM) and the ProtecT study. Hazard ratios (HRs) were estimated to compare men with high versus low PHS for association with clinically significant, with any, and with fatal prostate cancer. The impact of genetic risk stratification on the positive predictive value (PPV) of PSA testing for clinically significant prostate cancer was also measured. RESULTS The final model (PHS290) had 290 SNPs with non-zero coefficients. Comparing, for example, the highest and lowest quintiles of PHS290, the hazard ratios (HRs) for clinically significant prostate cancer were 13.73 [95% CI: 12.43-15.16] in ProtecT, 7.07 [6.58-7.60] in African ancestry, 10.31 [9.58-11.11] in Asian ancestry, and 11.18 [10.34-12.09] in COSM. Similar results were seen for association with any and fatal prostate cancer. Without PHS stratification, the PPV of PSA testing for clinically significant prostate cancer in ProtecT was 0.12 (0.11-0.14). For the top 20% and top 5% of PHS290, the PPV of PSA testing was 0.19 (0.15-0.22) and 0.26 (0.19-0.33), respectively. CONCLUSIONS We demonstrate better genetic risk stratification for clinically significant prostate cancer than prior versions of PHS in multi-ancestry datasets. This is promising for implementing precision-medicine approaches to prostate cancer screening decisions in diverse populations.
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Affiliation(s)
- Minh-Phuong Huynh-Le
- Radiation Oncology, George Washington University, Washington, DC, USA
- Department of Radiation Medicine and Applied Sciences, University of California San Diego, La Jolla, CA, USA
- Center for Multimodal Imaging and Genetics, University of California San Diego, La Jolla, CA, USA
| | - Roshan Karunamuni
- Department of Radiation Medicine and Applied Sciences, University of California San Diego, La Jolla, CA, USA
- Center for Multimodal Imaging and Genetics, University of California San Diego, La Jolla, CA, USA
| | - Chun Chieh Fan
- Center for Multimodal Imaging and Genetics, University of California San Diego, La Jolla, CA, USA
| | - Lui Asona
- Department of Radiation Medicine and Applied Sciences, University of California San Diego, La Jolla, CA, USA
| | - Wesley K Thompson
- Division of Biostatistics and Halicioğlu Data Science Institute, University of California San Diego, La Jolla, CA, USA
- Department of Family Medicine and Public Health, University of California San Diego, La Jolla, CA, USA
| | - Maria Elena Martinez
- University of California San Diego, Moores Cancer Center, Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla, CA, 92093-0012, USA
| | - Rosalind A Eeles
- The Institute of Cancer Research, London, SM2 5NG, UK
- Royal Marsden NHS Foundation Trust, London, SW3 6JJ, UK
| | | | - Kenneth R Muir
- Division of Population Health, Health Services Research and Primary Care, University of Manchester, Oxford Road, Manchester, M13 9PL, UK
| | - Artitaya Lophatananon
- Division of Population Health, Health Services Research and Primary Care, University of Manchester, Oxford Road, Manchester, M13 9PL, UK
| | - Johanna Schleutker
- Institute of Biomedicine, University of Turku, Turku, Finland
- Department of Medical Genetics, Genomics, Laboratory Division, Turku University Hospital, PO Box 52, 20521, Turku, Finland
| | - Nora Pashayan
- Department of Applied Health Research, University College London, London, WC1E 7HB, UK
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Strangeways Laboratory, Worts Causeway, Cambridge, CB1 8RN, UK
| | - Jyotsna Batra
- Australian Prostate Cancer Research Centre-Qld, Institute of Health and Biomedical Innovation and School of Biomedical Sciences, Queensland University of Technology, Brisbane, QLD, 4059, Australia
- Translational Research Institute, Brisbane, QLD, 4102, Australia
| | - Henrik Grönberg
- Department of Medical Epidemiology and Biostatistics, Karolinska Institute, SE-171 77, Stockholm, Sweden
| | - David E Neal
- Nuffield Department of Surgical Sciences, University of Oxford, Room 6603, Level 6, John Radcliffe Hospital, Headley Way, Headington, Oxford, OX3 9DU, UK
- University of Cambridge, Department of Oncology, Box 279, Addenbrooke's Hospital, Hills Road, Cambridge, CB2 0QQ, UK
- Cancer Research UK, Cambridge Research Institute, Li Ka Shing Centre, Cambridge, CB2 0RE, UK
| | - Børge G Nordestgaard
- Faculty of Health and Medical Sciences, University of Copenhagen, 2200, Copenhagen, Denmark
- Department of Clinical Biochemistry, Herlev and Gentofte Hospital, Copenhagen University Hospital, Herlev, 2200, Copenhagen, Denmark
| | - Catherine M Tangen
- SWOG Statistical Center, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Robert J MacInnis
- Cancer Epidemiology Division, Cancer Council Victoria, 615 St Kilda Road, Melbourne, VIC, 3004, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Grattan Street, Parkville, VIC, 3010, Australia
| | - Alicja Wolk
- Department of Surgical Sciences, Uppsala University, 75185, Uppsala, Sweden
| | - Demetrius Albanes
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD, 20892, USA
| | - Christopher A Haiman
- Center for Genetic Epidemiology, Department of Preventive Medicine, Keck School of Medicine, University of Southern California/Norris Comprehensive Cancer Center, Los Angeles, CA, 90015, USA
| | - Ruth C Travis
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, OX3 7LF, UK
| | - William J Blot
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, 2525 West End Avenue, Suite 800, Nashville, TN, 37232, USA
- International Epidemiology Institute, Rockville, MD, 20850, USA
| | - Janet L Stanford
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, 98109-1024, USA
- Department of Epidemiology, School of Public Health, University of Washington, Seattle, WA, 98195, USA
| | - Lorelei A Mucci
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, 02115, USA
| | - Catharine M L West
- Division of Cancer Sciences, University of Manchester, Manchester Academic Health Science Centre, Radiotherapy Related Research, The Christie Hospital NHS Foundation Trust, Manchester, M13 9PL, UK
| | - Sune F Nielsen
- Faculty of Health and Medical Sciences, University of Copenhagen, 2200, Copenhagen, Denmark
- Department of Clinical Biochemistry, Herlev and Gentofte Hospital, Copenhagen University Hospital, Herlev, 2200, Copenhagen, Denmark
| | - Adam S Kibel
- Division of Urologic Surgery, Brigham and Womens Hospital, 75 Francis Street, Boston, MA, 02115, USA
| | - Olivier Cussenot
- Sorbonne Universite, GRC n°5, AP-HP, Tenon Hospital, 4 rue de la Chine, F-45020, Paris, France
- CeRePP, Tenon Hospital, F-75020, Paris, France
| | - Sonja I Berndt
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD, 20892, USA
| | - Stella Koutros
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD, 20892, USA
| | - Karina Dalsgaard Sørensen
- Department of Molecular Medicine, Aarhus University Hospital, Palle Juul-Jensen Boulevard 99, 8200, Aarhus N, Denmark
- Department of Clinical Medicine, Aarhus University, DK, 8200, Aarhus N, Denmark
| | - Cezary Cybulski
- International Hereditary Cancer Center, Department of Genetics and Pathology, Pomeranian Medical University, 70-115, Szczecin, Poland
| | - Eli Marie Grindedal
- Department of Medical Genetics, Oslo University Hospital, 0424, Oslo, Norway
| | - Florence Menegaux
- Exposome and Heredity, CESP (UMR 1018), Faculté de Médecine, Université Paris-Saclay, Inserm, Gustave Roussy, Villejuif, France
| | - Jong Y Park
- Department of Cancer Epidemiology, Moffitt Cancer Center, 12902 Magnolia Drive, Tampa, FL, 33612, USA
| | - Sue A Ingles
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California/Norris Comprehensive Cancer Center, Los Angeles, CA, 90015, USA
| | - Christiane Maier
- Humangenetik Tuebingen, Paul-Ehrlich-Str 23, D-72076, Tuebingen, Germany
| | - Robert J Hamilton
- Dept. of Surgical Oncology, Princess Margaret Cancer Centre, Toronto, ON, M5G 2M9, Canada
- Dept. of Surgery (Urology), University of Toronto, Toronto, Canada
| | - Barry S Rosenstein
- Department of Radiation Oncology and Department of Genetics and Genomic Sciences, Box 1236, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY, 10029, USA
| | - Yong-Jie Lu
- Centre for Cancer Biomarker and Biotherapeutics, Barts Cancer Institute, Queen Mary University of London, John Vane Science Centre, Charterhouse Square, London, EC1M 6BQ, UK
| | | | - Ana Vega
- Fundación Pública Galega Medicina Xenómica, Santiago de Compostela, 15706, Spain
- Instituto de Investigación Sanitaria de Santiago de Compostela, Santiago De Compostela, 15706, Spain
- Centro de Investigación en Red de Enfermedades Raras (CIBERER), Santiago De Compostela, Spain
| | - Manolis Kogevinas
- ISGlobal, Barcelona, Spain
- IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
| | - Fredrik Wiklund
- Department of Medical Epidemiology and Biostatistics, Karolinska Institute, SE-171 77, Stockholm, Sweden
| | - Kathryn L Penney
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital/Harvard Medical School, Boston, MA, 02115, USA
| | - Chad D Huff
- Department of Epidemiology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd., Houston, TX, 77030, USA
| | - Manuel R Teixeira
- Department of Genetics, Portuguese Oncology Institute of Porto (IPO-Porto), 4200-072, Porto, Portugal
- Biomedical Sciences Institute (ICBAS), University of Porto, 4050-313, Porto, Portugal
- Cancer Genetics Group, IPO-Porto Research Center (CI-IPOP), Portuguese Oncology Institute of Porto (IPO-Porto), 4200-072, Porto, Portugal
| | - Luc Multigner
- Univ Rennes, Inserm, EHESP, Irset (Institut de recherche en santé, environnement et travail) - UMR_S 1085, Rennes, France
| | - Robin J Leach
- Department of Cell Systems and Anatomy, Mays Cancer Center, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA
| | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), D-69120, Heidelberg, Germany
- German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), D-69120, Heidelberg, Germany
- Division of Preventive Oncology, German Cancer Research Center (DKFZ) and National Center for Tumor Diseases (NCT), Im Neuenheimer Feld 460, 69120, Heidelberg, Germany
| | - Esther M John
- Departments of Epidemiology & Population Health and of Medicine, Division of Oncology, Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA, 94304, USA
| | - Radka Kaneva
- Molecular Medicine Center, Department of Medical Chemistry and Biochemistry, Medical University of Sofia, Sofia, 2 Zdrave Str., 1431, Sofia, Bulgaria
| | - Christopher J Logothetis
- The University of Texas M. D. Anderson Cancer Center, Department of Genitourinary Medical Oncology, 1515 Holcombe Blvd., Houston, TX, 77030, USA
| | - Susan L Neuhausen
- Department of Population Sciences, Beckman Research Institute of the City of Hope, 1500 East Duarte Road, Duarte, CA, 91010, USA
| | - Kim De Ruyck
- Ghent University, Faculty of Medicine and Health Sciences, Basic Medical Sciences, Proeftuinstraat 86, B-9000, Gent, Belgium
| | - Piet Ost
- Ghent University Hospital, Department of Radiotherapy, De Pintelaan 185, B-9000, Gent, Belgium
| | - Azad Razack
- Department of Surgery, Faculty of Medicine, University of Malaya, 50603, Kuala Lumpur, Malaysia
| | - Lisa F Newcomb
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, 98109-1024, USA
- Department of Urology, University of Washington, 1959 NE Pacific Street, Box 356510, Seattle, WA, 98195, USA
| | - Jay H Fowke
- Division of Epidemiology, Department of Preventive Medicine, University of Tennessee Health Science Center, Memphis, TN, 38163, USA
| | - Marija Gamulin
- Department of Oncology, University Hospital Centre Zagreb, University of Zagreb, School of Medicine, 10 000, Zagreb, Croatia
| | - Aswin Abraham
- Department of Oncology, Cross Cancer Institute, University of Alberta, 11560 University Avenue, Edmonton, AB, T6G 1Z2, Canada
| | - Frank Claessens
- Molecular Endocrinology Laboratory, Department of Cellular and Molecular Medicine, KU Leuven, BE-3000, Belgium
| | - Jose Esteban Castelao
- Genetic Oncology Unit, CHUVI Hospital, Complexo Hospitalario Universitario de Vigo, Instituto de Investigación Biomédica Galicia Sur (IISGS), 36204, Vigo (Pontevedra), Spain
| | - Paul A Townsend
- Division of Cancer Sciences, Manchester Cancer Research Centre, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, NIHR Manchester Biomedical Research Centre, Health Innovation Manchester, Univeristy of Manchester, Manchester, M13 9WL, UK
- The University of Surrey, Guildford, Surrey, GU2 7XH, UK
| | - Dana C Crawford
- Case Western Reserve University, Department of Population and Quantitative Health Sciences, Cleveland Institute for Computational Biology, 2103 Cornell Road, Wolstein Research Building, Suite 2527, Cleveland, OH, 44106, USA
| | - Gyorgy Petrovics
- Uniformed Services University, 4301 Jones Bridge Rd, Bethesda, MD, 20814, USA
- Center for Prostate Disease Research, 6720A Rockledge Drive, Suite 300, Bethesda, MD, 20817, USA
| | - Ron H N van Schaik
- Department of Clinical Chemistry, Erasmus University Medical Center, 3015 CE, Rotterdam, The Netherlands
| | - Marie-Élise Parent
- Epidemiology and Biostatistics Unit, Centre Armand-Frappier Santé Biotechnologie, Institut national de la recherche scientifique, 531 Boul. des Prairies, Laval, QC, H7V 1B7, Canada
- Department of Social and Preventive Medicine, School of Public Health, University of Montreal, Montreal, QC, Canada
| | - Jennifer J Hu
- The University of Miami School of Medicine, Sylvester Comprehensive Cancer Center, 1120 NW 14th Street, CRB 1511, Miami, FL, 33136, USA
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, 2525 West End Avenue, Suite 800, Nashville, TN, 37232, USA
| | - Ian G Mills
- Nuffield Department of Surgical Sciences, University of Oxford, Oxford, UK
| | - Ole A Andreassen
- NORMENT, KG Jebsen Centre, Oslo University Hospital and University of Oslo, Oslo, Norway
| | - Anders M Dale
- Center for Multimodal Imaging and Genetics, University of California San Diego, La Jolla, CA, USA
- NORMENT, KG Jebsen Centre, Oslo University Hospital and University of Oslo, Oslo, Norway
- Department of Radiology, University of California San Diego, La Jolla, CA, USA
| | - Tyler M Seibert
- Department of Radiation Medicine and Applied Sciences, University of California San Diego, La Jolla, CA, USA.
- Center for Multimodal Imaging and Genetics, University of California San Diego, La Jolla, CA, USA.
- NORMENT, KG Jebsen Centre, Oslo University Hospital and University of Oslo, Oslo, Norway.
- Department of Radiology, University of California San Diego, La Jolla, CA, USA.
- Department of Bioengineering, University of California San Diego, La Jolla, CA, USA.
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11
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Ho WK, Tai MC, Dennis J, Shu X, Li J, Ho PJ, Millwood IY, Lin K, Jee YH, Lee SH, Mavaddat N, Bolla MK, Wang Q, Michailidou K, Long J, Wijaya EA, Hassan T, Rahmat K, Tan VKM, Tan BKT, Tan SM, Tan EY, Lim SH, Gao YT, Zheng Y, Kang D, Choi JY, Han W, Lee HB, Kubo M, Okada Y, Namba S, Park SK, Kim SW, Shen CY, Wu PE, Park B, Muir KR, Lophatananon A, Wu AH, Tseng CC, Matsuo K, Ito H, Kwong A, Chan TL, John EM, Kurian AW, Iwasaki M, Yamaji T, Kweon SS, Aronson KJ, Murphy RA, Koh WP, Khor CC, Yuan JM, Dorajoo R, Walters RG, Chen Z, Li L, Lv J, Jung KJ, Kraft P, Pharoah PDB, Dunning AM, Simard J, Shu XO, Yip CH, Taib NAM, Antoniou AC, Zheng W, Hartman M, Easton DF, Teo SH. Polygenic risk scores for prediction of breast cancer risk in Asian populations. Genet Med 2022; 24:586-600. [PMID: 34906514 PMCID: PMC7612481 DOI: 10.1016/j.gim.2021.11.008] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2021] [Revised: 08/03/2021] [Accepted: 11/09/2021] [Indexed: 02/08/2023] Open
Abstract
PURPOSE Non-European populations are under-represented in genetics studies, hindering clinical implementation of breast cancer polygenic risk scores (PRSs). We aimed to develop PRSs using the largest available studies of Asian ancestry and to assess the transferability of PRS across ethnic subgroups. METHODS The development data set comprised 138,309 women from 17 case-control studies. PRSs were generated using a clumping and thresholding method, lasso penalized regression, an Empirical Bayes approach, a Bayesian polygenic prediction approach, or linear combinations of multiple PRSs. These PRSs were evaluated in 89,898 women from 3 prospective studies (1592 incident cases). RESULTS The best performing PRS (genome-wide set of single-nucleotide variations [formerly single-nucleotide polymorphism]) had a hazard ratio per unit SD of 1.62 (95% CI = 1.46-1.80) and an area under the receiver operating curve of 0.635 (95% CI = 0.622-0.649). Combined Asian and European PRSs (333 single-nucleotide variations) had a hazard ratio per SD of 1.53 (95% CI = 1.37-1.71) and an area under the receiver operating curve of 0.621 (95% CI = 0.608-0.635). The distribution of the latter PRS was different across ethnic subgroups, confirming the importance of population-specific calibration for valid estimation of breast cancer risk. CONCLUSION PRSs developed in this study, from association data from multiple ancestries, can enhance risk stratification for women of Asian ancestry.
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Affiliation(s)
- Weang-Kee Ho
- School of Mathematical Sciences, Faculty of Science and Engineering, University of Nottingham Malaysia, Selangor, Malaysia; Cancer Research Malaysia, Selangor, Malaysia.
| | | | - Joe Dennis
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom
| | - Xiang Shu
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University, Nashville, TN; Department of Epidemiology & Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Jingmei Li
- Department of Surgery, University Surgical Cluster, National University Hospital, Singapore, Singapore; Genome Institute of Singapore, Laboratory of Women's Health and Genetics, Singapore, Singapore
| | - Peh Joo Ho
- Genome Institute of Singapore, Laboratory of Women's Health and Genetics, Singapore, Singapore
| | - Iona Y Millwood
- Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom; MRC Population Health Research Unit, University of Oxford, Oxford, United Kingdom
| | - Kuang Lin
- Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Yon-Ho Jee
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA
| | - Su-Hyun Lee
- Graduate School of Public Health, Yonsei University, Seoul, Korea
| | - Nasim Mavaddat
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom
| | - Manjeet K Bolla
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom
| | - Qin Wang
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom
| | - Kyriaki Michailidou
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom; Biostatistics Unit, The Cyprus Institute of Neurology & Genetics, Ayios Dometios, Cyprus; Cyprus School of Molecular Medicine, The Cyprus Institute of Neurology & Genetics, Ayios Dometios, Cyprus
| | - Jirong Long
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University, Nashville, TN
| | | | | | - Kartini Rahmat
- Biomedical Imaging Department, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia
| | - Veronique Kiak Mien Tan
- Department of Breast Surgery, Singapore General Hospital, Singapore, Singapore; Division of Surgery and Surgical Oncology, National Cancer Center Singapore, Singapore, Singapore
| | - Benita Kiat Tee Tan
- Department of Breast Surgery, Singapore General Hospital, Singapore, Singapore; Division of Surgery and Surgical Oncology, National Cancer Center Singapore, Singapore, Singapore; Department of General Surgery, Sengkang General Hospital, Singapore, Singapore
| | - Su Ming Tan
- Division of Breast Surgery, Changi General Hospital, Singapore, Singapore
| | - Ern Yu Tan
- Department of General Surgery, Tan Tock Seng Hospital, Singapore, Singapore
| | - Swee Ho Lim
- KK Breast Department, KK Women's and Children's Hospital, Singapore, Singapore
| | - Yu-Tang Gao
- State Key Laboratory of Oncogene and Related Genes & Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Ying Zheng
- Shanghai Municipal Center for Disease Control and Prevention, Shanghai, China
| | - Daehee Kang
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, Korea; Cancer Research Institute, Seoul National University, Seoul, Korea
| | - Ji-Yeob Choi
- Cancer Research Institute, Seoul National University, Seoul, Korea; Department of Biomedical Sciences, Seoul National University Graduate School, Seoul, Korea; Institute of Health Policy and Management, Medical Research Center, Seoul National University, Seoul, Korea
| | - Wonshik Han
- Cancer Research Institute, Seoul National University, Seoul, Korea; Department of Surgery, Seoul National University College of Medicine, Seoul, South Korea
| | - Han-Byoel Lee
- Cancer Research Institute, Seoul National University, Seoul, Korea; Department of Surgery, Seoul National University College of Medicine, Seoul, South Korea
| | - Michiki Kubo
- RIKEN Center for Integrative Medical Sciences (IMS), Yokohama, Japan
| | - Yukinori Okada
- Department of Statistical Genetics, Graduate School of Medicine, Faculty of Medicine, Osaka University, Suita, Japan; Integrated Frontier Research for Medical Science Division, Institute for Open and Transdisciplinary Research Initiatives, Osaka University, Suita, Japan; Laboratory of Statistical Immunology, Immunology Frontier Research Center (WPI-IFReC), Osaka University, Suita, Japan
| | - Shinichi Namba
- Department of Statistical Genetics, Graduate School of Medicine, Faculty of Medicine, Osaka University, Suita, Japan
| | - Sue K Park
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, Korea; Cancer Research Institute, Seoul National University, Seoul, Korea; Integrated Major in Innovative Medical Science, Seoul National University College of Medicine, Seoul, Korea
| | - Sung-Won Kim
- Department of Surgery, Daerim Saint Mary's Hospital, Seoul, Korea
| | - Chen-Yang Shen
- Institute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan
| | - Pei-Ei Wu
- Institute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan
| | - Boyoung Park
- Department of Medicine, Hanyang University College of Medicine, Seoul, Korea
| | - Kenneth R Muir
- Division of Population Health, Health Services Research and Primary Care, School of Health Sciences, The University of Manchester, Manchester, United Kingdom
| | - Artitaya Lophatananon
- Division of Population Health, Health Services Research and Primary Care, School of Health Sciences, The University of Manchester, Manchester, United Kingdom
| | - Anna H Wu
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA
| | - Chiu-Chen Tseng
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA
| | - Keitaro Matsuo
- Division of Cancer Epidemiology and Prevention, Aichi Cancer Center Research Institute, Nagoya, Japan; Division of Cancer Epidemiology, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Hidemi Ito
- Division of Cancer Information and Control, Aichi Cancer Center Research Institute, Nagoya, Japan; Division of Descriptive Cancer Epidemiology, Nagoya University Graduate School of Medicine, Nagoya University, Nagoya, Japan
| | - Ava Kwong
- Hong Kong Hereditary Breast Cancer Family Registry, Cancer Genetics Centre, Happy Valley, Hong Kong; Department of Surgery, The University of Hong Kong, Pok Fu Lam, Hong Kong; Department of Surgery, Hong Kong Sanatorium & Hospital, Happy Valley, Hong Kong
| | - Tsun L Chan
- Hong Kong Hereditary Breast Cancer Family Registry, Cancer Genetics Centre, Happy Valley, Hong Kong; Department of Pathology, Hong Kong Sanatorium & Hospital, Happy Valley, Hong Kong
| | - Esther M John
- Division of Oncology, Department of Medicine, Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA; Department of Epidemiology & Population Health, Stanford University School of Medicine, Stanford, CA
| | - Allison W Kurian
- Division of Oncology, Department of Medicine, Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA; Department of Epidemiology & Population Health, Stanford University School of Medicine, Stanford, CA
| | - Motoki Iwasaki
- Division of Epidemiology, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan
| | - Taiki Yamaji
- Division of Epidemiology, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan
| | - Sun-Seog Kweon
- Department of Preventive Medicine, Chonnam National University Medical School, Hwasun, Korea; Jeonnam Regional Cancer Center, Chonnam National University Hwasun Hospital, Hwasun, Korea
| | - Kristan J Aronson
- Department of Public Health Sciences, and Cancer Research Institute, School of Medicine, Queen's University, Kingston, Ontario, Canada
| | - Rachel A Murphy
- Cancer Control Research, BC Cancer, Vancouver, British Columbia, Canada; School of Population and Public Health, Faculty of Medicine, The University of British Columbia, Vancouver, British Columbia, Canada
| | - Woon-Puay Koh
- Healthy Longevity Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore; Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Chiea-Chuen Khor
- Genome Institute of Singapore, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Jian-Min Yuan
- Division of Cancer Control and Population Sciences, UPMC Hillman Cancer Center, University of Pittsburgh, Pittsburgh, PA; Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA
| | - Rajkumar Dorajoo
- Genome Institute of Singapore, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore; Health Services and Systems Research, Duke-NUS Medical School, Singapore, Singapore
| | - Robin G Walters
- Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom; MRC Population Health Research Unit, University of Oxford, Oxford, United Kingdom
| | - Zhengming Chen
- Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom; MRC Population Health Research Unit, University of Oxford, Oxford, United Kingdom
| | - Liming Li
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China
| | - Jun Lv
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China
| | - Keum-Ji Jung
- Institute for Health Promotion, Graduate School of Public Health, Yonsei University, Seoul, Korea
| | - Peter Kraft
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA
| | - Paul D B Pharoah
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom; Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, United Kingdom
| | - Alison M Dunning
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, United Kingdom
| | - Jacques Simard
- Genomics Center, CHU de Québec-Université Laval Research Center, Quebec City, Quebec, Canada
| | - Xiao-Ou Shu
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University, Nashville, TN
| | | | - Nur Aishah Mohd Taib
- Department of Surgery, Faculty of Medicine, University of Malaya Centre, UM Cancer Research Institute, Kuala Lumpur, Malaysia
| | - Antonis C Antoniou
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University, Nashville, TN
| | - Mikael Hartman
- Department of Surgery, University Surgical Cluster, National University Hospital, Singapore, Singapore; Department of Surgery, Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore, Singapore; Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore
| | - Douglas F Easton
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom; Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, United Kingdom
| | - Soo-Hwang Teo
- Cancer Research Malaysia, Selangor, Malaysia; Department of Surgery, Faculty of Medicine, University of Malaya Centre, UM Cancer Research Institute, Kuala Lumpur, Malaysia.
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Mekli K, Lophatananon A, Cant R, Burns A, Dobson CB, Itzhaki RF, Muir KR. Investigation of the association between the antibody responses to neurotropic viruses and dementia outcomes in the UK Biobank. PLoS One 2022; 17:e0274872. [PMID: 36223333 PMCID: PMC9555633 DOI: 10.1371/journal.pone.0274872] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2021] [Accepted: 09/06/2022] [Indexed: 11/07/2022] Open
Abstract
The causes that trigger the onset of dementia are still unknown. Recently there has been an increasing interest in the possible role of infectious agents in the brain in the pathogenesis of this condition. Amongst the viruses, members of the Herpesviridae family, namely herpes simplex virus-1 (HSV1), cytomegalovirus (CMV), human herpesvirus-6 (HHV6), human herpesvirus-7 (HHV7) and varicella zoster virus (VZV) have been suggested as potential causes of the disease. However, the relative importance of these and other viruses in contributing to dementia remains unclear. We evaluated the association between seropositivity status of all viruses available in a large, population-based dataset (the UK Biobank) and dementia risk in an unbiased way. Of the 15 viruses investigated, our results showed a statistically significant increase of dementia risk associated only with HSV1 seropositivity (OR 2.14, 95% C.I. 1.21-3.81). However, by combining the data we found that seropositivity for 4 viruses (HSV1, HHV6, HHV7 and VZV) also significantly increases the risk of dementia (OR = 2.37, 95% C.I. 1.43-3.92). These four viruses have been described previously as neurotropic viruses. Our results provide support for a role for neurotropic viruses in the pathology of dementia.
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Affiliation(s)
- Krisztina Mekli
- Division of Population Health, Health Services Research and Primary Care, School of Health Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, United Kingdom
| | - Artitaya Lophatananon
- Division of Population Health, Health Services Research and Primary Care, School of Health Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, United Kingdom
| | - Rachel Cant
- Division of Pharmacy & Optometry, School of Health Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, United Kingdom
| | - Alistair Burns
- Division of Neuroscience & Experimental Psychology, School of Biological Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, United Kingdom
| | - Curtis B. Dobson
- Division of Pharmacy & Optometry, School of Health Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, United Kingdom
| | - Ruth F. Itzhaki
- The Oxford Institute of Population Ageing, University of Oxford, Oxford, United Kingdom
| | - Kenneth R. Muir
- Division of Population Health, Health Services Research and Primary Care, School of Health Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, United Kingdom
- * E-mail:
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13
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Lin HY, Wang X, Tseng TS, Kao YH, Fang Z, Molina PE, Cheng CH, Berglund AE, Eeles RA, Muir KR, Pashayan N, Haiman CA, Brenner H, Consortium TP, Park JY. Alcohol Intake and Alcohol-SNP Interactions Associated with Prostate Cancer Aggressiveness. J Clin Med 2021; 10:553. [PMID: 33540941 PMCID: PMC7867322 DOI: 10.3390/jcm10030553] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2020] [Revised: 01/25/2021] [Accepted: 01/28/2021] [Indexed: 12/24/2022] Open
Abstract
Excessive alcohol intake is a well-known modifiable risk factor for many cancers. It is still unclear whether genetic variants or single nucleotide polymorphisms (SNPs) can modify alcohol intake's impact on prostate cancer (PCa) aggressiveness. The objective is to test the alcohol-SNP interactions of the 7501 SNPs in the four pathways (angiogenesis, mitochondria, miRNA, and androgen metabolism-related pathways) associated with PCa aggressiveness. We evaluated the impacts of three excessive alcohol intake behaviors in 3306 PCa patients with European ancestry from the PCa Consortium. We tested the alcohol-SNP interactions using logistic models with the discovery-validation study design. All three excessive alcohol intake behaviors were not significantly associated with PCa aggressiveness. However, the interactions of excessive alcohol intake and three SNPs (rs13107662 [CAMK2D, p = 6.2 × 10-6], rs9907521 [PRKCA, p = 7.1 × 10-5], and rs11925452 [ROBO1, p = 8.2 × 10-4]) were significantly associated with PCa aggressiveness. These alcohol-SNP interactions revealed contrasting effects of excessive alcohol intake on PCa aggressiveness according to the genotypes in the identified SNPs. We identified PCa patients with the rs13107662 (CAMK2D) AA genotype, the rs11925452 (ROBO1) AA genotype, and the rs9907521 (PRKCA) AG genotype were more vulnerable to excessive alcohol intake for developing aggressive PCa. Our findings support that the impact of excessive alcohol intake on PCa aggressiveness was varied by the selected genetic profiles.
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Affiliation(s)
- Hui-Yi Lin
- Biostatistics Program, School of Public Health, Louisiana State University Health Sciences Center, New Orleans, LA 70112, USA
| | - Xinnan Wang
- Biostatistics Program, School of Public Health, Louisiana State University Health Sciences Center, New Orleans, LA 70112, USA
| | - Tung-Sung Tseng
- Behavioral and Community Health Sciences Program, School of Public Health, Louisiana State University Health Sciences Center, New Orleans, LA 70112, USA
| | - Yu-Hsiang Kao
- Behavioral and Community Health Sciences Program, School of Public Health, Louisiana State University Health Sciences Center, New Orleans, LA 70112, USA
| | - Zhide Fang
- Biostatistics Program, School of Public Health, Louisiana State University Health Sciences Center, New Orleans, LA 70112, USA
| | - Patricia E Molina
- Department of Physiology, School of Medicine, Louisiana State University Health Sciences Center, New Orleans, LA 70112, USA
- Comprehensive Alcohol Research Center, School of Medicine, Louisiana State University Health Sciences Center, New Orleans, LA 70112, USA
| | - Chia-Ho Cheng
- Biostatistics and Bioinformatics Shared Resource, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL 33612, USA
| | - Anders E Berglund
- Department of Biostatistics and Bioinformatics, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL 33612, USA
| | - Rosalind A Eeles
- The Institute of Cancer Research, and The Royal Marsden NHS Foundation Trust, London, SM2 5NG, UK
| | - Kenneth R Muir
- Division of Population Health, Health Services Research, and Primary Care, University of Manchester, Oxford Road, Manchester, M139PT, UK
| | - Nora Pashayan
- Department of Applied Health Research, University College London, WC1E 7HB, London, UK
| | - Christopher A Haiman
- Center for Genetic Epidemiology, Department of Preventive Medicine, Keck School of Medicine, University of Southern California/Norris Comprehensive Cancer Center, Los Angeles, CA 90015, USA
| | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), D-69120 Heidelberg, Germany
- Division of Preventive Oncology, German Cancer Research Center (DKFZ) and National Center for Tumor Diseases (NCT), D-69120 Heidelberg, Germany
- German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), D-69120 Heidelberg, Germany
| | - The Practical Consortium
- The Prostate Cancer Association Group to Investigate Cancer Associated Alterations in the Genome Consortium (PRACTICAL, http://practical.icr.ac.uk/), London SM2 5NG, UK. Additional members from The PRACTICAL Consortium were provided in the Supplement
| | - Jong Y Park
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL 33612, USA
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14
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Al Ajmi K, Lophatananon A, Mekli K, Ollier W, Muir KR. Association of Nongenetic Factors With Breast Cancer Risk in Genetically Predisposed Groups of Women in the UK Biobank Cohort. JAMA Netw Open 2020; 3:e203760. [PMID: 32329772 PMCID: PMC7182796 DOI: 10.1001/jamanetworkopen.2020.3760] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
Abstract
IMPORTANCE The association between noninherited factors, including lifestyle factors, and the risk of breast cancer (BC) in women and the association between BC and genetic makeup are only partly characterized. A study using data on current genetic stratification may help in the characterization. OBJECTIVE To examine the association between healthier lifestyle habits and BC risk in genetically predisposed groups. DESIGN, SETTING, AND PARTICIPANTS Data from UK Biobank, a prospective cohort comprising 2728 patients with BC and 88 489 women without BC, were analyzed. The data set used for the analysis was closed on March 31, 2019. The analysis was restricted to postmenopausal white women. Classification of healthy lifestyle was based on Cancer Research UK guidance (healthy weight, regular exercise, no use of hormone replacement therapy for more than 5 years, no oral contraceptive use, and alcohol intake <3 times/wk). Three groups were established: favorable (≥4 healthy factors), intermediate (2-3 healthy factors), and unfavorable (≤1 healthy factor). The genetic contribution was estimated using the polygenic risk scores of 305 preselected single-nucleotide variations. Polygenic risk scores were categorized into 3 tertiles (low, intermediate, and high). MAIN OUTCOMES AND MEASURES Cox proportional hazards regression was used to assess the hazard ratios (HRs) of the lifestyles and polygenic risk scores associated with a malignant neoplasm of the breast. RESULTS Mean (SD) age of the 2728 women with BC was 60.1 (5.5) years, and mean age of the 88 489 women serving as controls was 59.4 (4.9) years. The median follow-up time for the cohort was 10 years (maximum 13 years) (interquartile range, 9.44-10.82 years). Women with BC had a higher body mass index (relative risk [RR], 1.14; 95% CI, 1.05-1.23), performed less exercise (RR, 1.12; 95% CI, 1.01-1.25), used hormonal replacement therapy for longer than 5 years (RR, 1.23; 95% CI, 1.13-1.34), used more oral contraceptives (RR, 1.02; 95% CI, 0.93-1.12), and had greater alcohol intake (RR, 1.11; 95% CI, 1.03-1.19) compared with the controls. Overall, 20 657 women (23.3%) followed a favorable lifestyle, 60 195 women (68.0%) followed an intermediate lifestyle, and 7637 women (8.6%) followed an unfavorable lifestyle. The RR of the highest genetic risk group was 2.55 (95% CI, 2.28-2.84), and the RR of the most unfavorable lifestyle category was 1.44 (95% CI, 1.25-1.65). The association of lifestyle and BC within genetic subgroups showed lower HRs among women following a favorable lifestyle compared with intermediate and unfavorable lifestyles among all of the genetic groups: women with an unfavorable lifestyle had a higher risk of BC in the low genetic group (HR, 1.63; 95% CI, 1.13-2.34), intermediate genetic group (HR, 1.94; 95% CI, 1.46-2.58), and high genetic group (HR, 1.39; 95% CI, 1.11-1.74) compared with the reference group of favorable lifestyle. Intermediate lifestyle was also associated with a higher risk of BC among the low genetic group (HR, 1.40; 95% CI, 1.09-1.80) and the intermediate genetic group (HR, 1.37; 95% CI, 1.12-1.68). CONCLUSIONS AND RELEVANCE In this cohort study of data on women in the UK Biobank, a healthier lifestyle with more exercise, healthy weight, low alcohol intake, no oral contraceptive use, and no or limited hormonal replacement therapy use appeared to be associated with a reduced level of risk for BC, even if the women were at higher genetic risk for BC.
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Affiliation(s)
- Kawthar Al Ajmi
- Division of Population Health, Health Services Research and Primary Care, Faculty of Biology, Medicine and Health, Centre for Epidemiology, University of Manchester, Manchester, United Kingdom
| | - Artitaya Lophatananon
- Division of Population Health, Health Services Research and Primary Care, Faculty of Biology, Medicine and Health, Centre for Epidemiology, University of Manchester, Manchester, United Kingdom
| | - Krisztina Mekli
- Cathie Marsh Institute for Social Research, School of Social Sciences, Faculty of Humanities, University of Manchester, Manchester, United Kingdom
| | - William Ollier
- Division of Population Health, Health Services Research and Primary Care, Faculty of Biology, Medicine and Health, Centre for Epidemiology, University of Manchester, Manchester, United Kingdom
- School of Healthcare Science, Faculty of Science and Engineering, Manchester Metropolitan University, Manchester, United Kingdom
| | - Kenneth R Muir
- Division of Population Health, Health Services Research and Primary Care, Faculty of Biology, Medicine and Health, Centre for Epidemiology, University of Manchester, Manchester, United Kingdom
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15
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Kar SP, Andrulis IL, Brenner H, Burgess S, Chang-Claude J, Considine D, Dörk T, Evans DGR, Gago-Domínguez M, Giles GG, Hartman M, Huo D, Kaaks R, Li J, Lophatananon A, Margolin S, Milne RL, Muir KR, Olsson H, Punie K, Radice P, Simard J, Tamimi RM, Van Nieuwenhuysen E, Wendt C, Zheng W, Pharoah PDP. The association between weight at birth and breast cancer risk revisited using Mendelian randomisation. Eur J Epidemiol 2019; 34:591-600. [PMID: 30737679 PMCID: PMC6497616 DOI: 10.1007/s10654-019-00485-7] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2018] [Accepted: 01/19/2019] [Indexed: 12/18/2022]
Abstract
Observational studies suggest that higher birth weight (BW) is associated with increased risk of breast cancer in adult life. We conducted a two-sample Mendelian randomisation (MR) study to assess whether this association is causal. Sixty independent single nucleotide polymorphisms (SNPs) known to be associated at P < 5 × 10-8 with BW were used to construct (1) a 41-SNP instrumental variable (IV) for univariable MR after removing SNPs with pleiotropic associations with other breast cancer risk factors and (2) a 49-SNP IV for multivariable MR after filtering SNPs for data availability. BW predicted by the 41-SNP IV was not associated with overall breast cancer risk in inverse-variance weighted (IVW) univariable MR analysis of genetic association data from 122,977 breast cancer cases and 105,974 controls (odds ratio = 0.86 per 500 g higher BW; 95% confidence interval 0.73-1.01). Sensitivity analyses using four alternative methods and three alternative IVs, including an IV with 59 of the 60 BW-associated SNPs, yielded similar results. Multivariable MR adjusting for the effects of the 49-SNP IV on birth length, adult height, adult body mass index, age at menarche, and age at menopause using IVW and MR-Egger methods provided estimates consistent with univariable analyses. Results were also similar when all analyses were repeated after restricting to estrogen receptor-positive or -negative breast cancer cases. Point estimates of the odds ratios from most analyses performed indicated an inverse relationship between genetically-predicted BW and breast cancer, but we are unable to rule out an association between the non-genetically-determined component of BW and breast cancer. Thus, genetically-predicted higher BW was not associated with an increased risk of breast cancer in adult life in our MR study.
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Affiliation(s)
- Siddhartha P Kar
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
- Homerton College, Hills Road, Cambridge, CB2 8PH, UK.
| | - Irene L Andrulis
- Fred A. Litwin Center for Cancer Genetics, Lunenfeld-Tanenbaum Research Institute of Mount Sinai Hospital, Toronto, ON, Canada
- Department of Molecular Genetics, University of Toronto, Toronto, ON, Canada
| | - Hermann Brenner
- Division of Clinical Epidemiology and Ageing Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
- German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany
- Division of Preventive Oncology, German Cancer Research Center (DKFZ) and National Center for Tumor Diseases (NCT), Heidelberg, Germany
| | - Stephen Burgess
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- MRC Biostatistics Unit, University of Cambridge, Cambridge, UK
| | - Jenny Chang-Claude
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Cancer Epidemiology, University Medical Center Hamburg-Eppendorf, University Cancer Center Hamburg (UCCH), Hamburg, Germany
| | - Daniel Considine
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Thilo Dörk
- Gynaecology Research Unit, Hannover Medical School, Hannover, Germany
| | - Dafydd Gareth R Evans
- Division of Evolution and Genomic Sciences, School of Biological Sciences, Faculty of Biology, Medicine, and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester, UK
| | - Manuela Gago-Domínguez
- Genomic Medicine Group, Galician Foundation of Genomic Medicine, Complejo Hospitalario Universitario de Santiago, Servicio Galego de Saude (SERGAS), Instituto de Investigación Sanitaria de Santiago de Compostela (IDIS), Santiago De Compostela, Spain
- Moores Cancer Center, University of California San Diego, La Jolla, CA, USA
| | - Graham G Giles
- Cancer Epidemiology and Intelligence Division, Cancer Council Victoria, Melbourne, VIC, Australia
- Center for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Parkville, VIC, Australia
| | - Mikael Hartman
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
- Department of Surgery, National University of Singapore, Singapore, Singapore
| | - Dezheng Huo
- Department of Public Health Sciences, University of Chicago, Chicago, IL, USA
| | - Rudolf Kaaks
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Jingmei Li
- Human Genetics, Genome Institute of Singapore, Singapore, Singapore
| | - Artitaya Lophatananon
- Division of Population Health, Health Services Research and Primary Care, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
| | - Sara Margolin
- Department of Oncology, Södersjukhuset and Department of Clinical Science and Education, Södersjukhuset, Karolinska Institutet, Stockholm, Sweden
| | - Roger L Milne
- Cancer Epidemiology and Intelligence Division, Cancer Council Victoria, Melbourne, VIC, Australia
- Center for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Parkville, VIC, Australia
| | - Kenneth R Muir
- Division of Population Health, Health Services Research and Primary Care, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
| | - Håkan Olsson
- Department of Cancer Epidemiology, Clinical Sciences, Lund University, Lund, Sweden
| | - Kevin Punie
- Department of Oncology, Leuven Multidisciplinary Breast Centre, University Hospital Leuven, KU Leuven, Louvain, Belgium
| | - Paolo Radice
- Unit of Molecular Bases of Genetic Risk and Genetic Testing, Department of Research, Fondazione IRCCS (Istituto Di Ricovero e Cura a Carattere Scientifico) Istituto Nazionale dei Tumori (INT), Milan, Italy
| | - Jacques Simard
- Genomics Center, Centre Hospitalier Universitaire de Québec - Université Laval Research Center, Quebec City, QC, Canada
| | - Rulla M Tamimi
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Els Van Nieuwenhuysen
- Department of Oncology, Leuven Multidisciplinary Breast Centre, University Hospital Leuven, KU Leuven, Louvain, Belgium
| | - Camilla Wendt
- Department of Oncology, Södersjukhuset and Department of Clinical Science and Education, Södersjukhuset, Karolinska Institutet, Stockholm, Sweden
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Paul D P Pharoah
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- Department of Oncology, University of Cambridge, Cambridge, UK
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16
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Al-Ajmi K, Lophatananon A, Yuille M, Ollier W, Muir KR. Review of non-clinical risk models to aid prevention of breast cancer. Cancer Causes Control 2018; 29:967-986. [PMID: 30178398 PMCID: PMC6182451 DOI: 10.1007/s10552-018-1072-6] [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] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2017] [Accepted: 08/10/2018] [Indexed: 12/29/2022]
Abstract
A disease risk model is a statistical method which assesses the probability that an individual will develop one or more diseases within a stated period of time. Such models take into account the presence or absence of specific epidemiological risk factors associated with the disease and thereby potentially identify individuals at higher risk. Such models are currently used clinically to identify people at higher risk, including identifying women who are at increased risk of developing breast cancer. Many genetic and non-genetic breast cancer risk models have been developed previously. We have evaluated existing non-genetic/non-clinical models for breast cancer that incorporate modifiable risk factors. This review focuses on risk models that can be used by women themselves in the community in the absence of clinical risk factors characterization. The inclusion of modifiable factors in these models means that they can be used to improve primary prevention and health education pertinent for breast cancer. Literature searches were conducted using PubMed, ScienceDirect and the Cochrane Database of Systematic Reviews. Fourteen studies were eligible for review with sample sizes ranging from 654 to 248,407 participants. All models reviewed had acceptable calibration measures, with expected/observed (E/O) ratios ranging from 0.79 to 1.17. However, discrimination measures were variable across studies with concordance statistics (C-statistics) ranging from 0.56 to 0.89. We conclude that breast cancer risk models that include modifiable risk factors have been well calibrated but have less ability to discriminate. The latter may be a consequence of the omission of some significant risk factors in the models or from applying models to studies with limited sample sizes. More importantly, external validation is missing for most of the models. Generalization across models is also problematic as some variables may not be considered applicable to some populations and each model performance is conditioned by particular population characteristics. In conclusion, it is clear that there is still a need to develop a more reliable model for estimating breast cancer risk which has a good calibration, ability to accurately discriminate high risk and with better generalizability across populations.
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Affiliation(s)
- Kawthar Al-Ajmi
- Division of Population Health, Health Services Research and Primary Care, Faculty of Biology, Medicine and Health, Centre for Epidemiology, The University of Manchester, Manchester, M139 PL UK
| | - Artitaya Lophatananon
- Division of Population Health, Health Services Research and Primary Care, Faculty of Biology, Medicine and Health, Centre for Epidemiology, The University of Manchester, Manchester, M139 PL UK
| | - Martin Yuille
- Division of Population Health, Health Services Research and Primary Care, Faculty of Biology, Medicine and Health, Centre for Epidemiology, The University of Manchester, Manchester, M139 PL UK
| | - William Ollier
- Division of Population Health, Health Services Research and Primary Care, Faculty of Biology, Medicine and Health, Centre for Epidemiology, The University of Manchester, Manchester, M139 PL UK
| | - Kenneth R. Muir
- Division of Population Health, Health Services Research and Primary Care, Faculty of Biology, Medicine and Health, Centre for Epidemiology, The University of Manchester, Manchester, M139 PL UK
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17
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Al-Ajmi K, Lophatananon A, Ollier W, Muir KR. Risk of breast cancer in the UK biobank female cohort and its relationship to anthropometric and reproductive factors. PLoS One 2018; 13:e0201097. [PMID: 30048498 PMCID: PMC6062099 DOI: 10.1371/journal.pone.0201097] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2018] [Accepted: 07/09/2018] [Indexed: 12/29/2022] Open
Abstract
BACKGROUND Anthropometric and reproductive factors have been reported as being established risk factors for breast cancer (BC). This study explores the contribution of anthropometric and reproductive factors in UK females developing BC in a large longitudinal cohort. METHODS Data from the UK Biobank prospective study of 273,467 UK females were analyzed. Relative risks (RRs) and 95% confidence intervals (CIs) for each factor were adjusted for age, family history of BC and deprivation score. The analyses were stratified by the menopausal status. RESULTS Over the 9 years of follow up the total number of BC cases were 14,231 with 3,378 (23.7%) incident cases with an incidence rate of 2.09 per 1000 person-years. In pre-menopausal, increase in age, height, having low BMI, low waist to hip ratio, first degree family history of BC, early menarche age, nulliparous, late age at first live birth, high reproductive interval index, and long contraceptive use duration were all significantly associated with an increased BC risk. In post-menopausal, getting older, being taller, having high BMI, first degree BC family history, nulliparous, late age at first live birth, and high reproductive interval index were all significantly associated with an increased risk of BC. The population attributable fraction (PAF) suggested that an early first live birth, lower reproductive interval index and increased number of children can contribute to BC risk reduction up to 50%. CONCLUSIONS This study utilizes the UK Biobank study to confirm associations between anthropometric and reproductive factors and the risk of breast cancer development. Result of attributable fraction of risk contributed by each risk factor suggested that lifetime risk of BC can be reduced by controlling weight, reassessing individual approaches to the timing of childbirth and options for contraception and considering early screening for women with family history in the first degree relative.
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Affiliation(s)
- Kawthar Al-Ajmi
- Division of Population Health, Health Services Research and Primary Care, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, United Kingdom
| | - Artitaya Lophatananon
- Division of Population Health, Health Services Research and Primary Care, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, United Kingdom
| | - William Ollier
- Division of Population Health, Health Services Research and Primary Care, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, United Kingdom
| | - Kenneth R. Muir
- Division of Population Health, Health Services Research and Primary Care, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, United Kingdom
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18
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Abstract
Precision medicine uses biomarkers to diagnose disease. However, they can also be used to measure risk of disease. Thus, biomarkers herald a new addition to public health - Precision Public Health. We examine the implications. Risk biomarkers are identified by analyzing population cohorts. They constitute risk factors in mathematical 'Disease Risk Models'. The risk may be fixed as in a genetic biomarker or variable as in some protein biomarkers. They help monitor current risk of disease in an individual, thereby aiding efforts to reduce risk. In the UK, the NHS Health Check system is a universal system for assessing risk and for risk reduction. The system can now make use of modern biomarkers once appropriate infrastructure and governance are in place.
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Affiliation(s)
- William Ollier
- Center for Epidemiology, Division of Population Health, Faculty of Biology, Medicine & Health, The University of Manchester, Stopford Building, 99 Oxford Rd, Manchester, M13 9PG, UK
| | - Kenneth R Muir
- Center for Epidemiology, Division of Population Health, Faculty of Biology, Medicine & Health, The University of Manchester, Stopford Building, 99 Oxford Rd, Manchester, M13 9PG, UK
| | - Artitaya Lophatananon
- Center for Epidemiology, Division of Population Health, Faculty of Biology, Medicine & Health, The University of Manchester, Stopford Building, 99 Oxford Rd, Manchester, M13 9PG, UK
| | - Arpana Verma
- Center for Epidemiology, Division of Population Health, Faculty of Biology, Medicine & Health, The University of Manchester, Stopford Building, 99 Oxford Rd, Manchester, M13 9PG, UK
| | - Martin Yuille
- Center for Epidemiology, Division of Population Health, Faculty of Biology, Medicine & Health, The University of Manchester, Stopford Building, 99 Oxford Rd, Manchester, M13 9PG, UK
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Lophatananon A, Usher-Smith J, Campbell J, Warcaba J, Silarova B, Waters EA, Colditz GA, Muir KR. Development of a Cancer Risk Prediction Tool for Use in the UK Primary Care and Community Settings. Cancer Prev Res (Phila) 2017; 10:421-430. [PMID: 28559460 PMCID: PMC5501968 DOI: 10.1158/1940-6207.capr-16-0288] [Citation(s) in RCA: 5] [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: 11/11/2016] [Revised: 04/18/2017] [Accepted: 05/22/2017] [Indexed: 11/16/2022]
Abstract
Several multivariable risk prediction models have been developed to asses an individual's risk of developing specific cancers. Such models can be used in a variety of settings for prevention, screening, and guiding investigations and treatments. Models aimed at predicting future disease risk that contains lifestyle factors may be of particular use for targeting health promotion activities at an individual level. This type of cancer risk prediction is not yet available in the UK. We have adopted the approach used by the well-established U.S.-derived "YourCancerRisk" model for use in the UK population, which allow users to quantify their individual risk of developing individual cancers relative to the population average risk. The UK version of "YourCancerRisk" computes 10-year cancer risk estimates for 11 cancers utilizing UK figures for prevalence of risk factors and cancer incidence. Because the prevalence of risk factors and the incidence rates for cancer are different between the U.S. and the UK population, this UK model provides more accurate estimates of risks for a UK population. Using an example of breast cancer and data from UK Biobank cohort, we demonstrate that the individual risk factor estimates are similar for the U.S. and UK populations. Assessment of the performance and validation of the multivariate model predictions based on a binary score confirm the model's applicability. The model can be used to estimate absolute and relative cancer risk for use in Primary Care and community settings and is being used in the community to guide lifestyle change. Cancer Prev Res; 10(7); 421-30. ©2017 AACR.
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Affiliation(s)
- Artitaya Lophatananon
- Division of Population Health, Health Services Research and Primary Care, School of Health Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, United Kingdom.
| | - Juliet Usher-Smith
- The Primary Care Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom
| | - Jackie Campbell
- Institute of Health and Wellbeing, The University of Northampton, Northampton, United Kingdom
| | - Joanne Warcaba
- Moulton Surgery, Northampton Lane, Northampton, United Kingdom
| | - Barbora Silarova
- MRC Epidemiology Unit, School of Clinical Medicine, University of Cambridge, Cambridge, United Kingdom
| | - Erika A Waters
- Division of Public Health Sciences, Department of Surgery, Washington University School of Medicine, St. Louis, Missouri
| | - Graham A Colditz
- Division of Public Health Sciences, Department of Surgery, Washington University School of Medicine, St. Louis, Missouri
| | - Kenneth R Muir
- Division of Population Health, Health Services Research and Primary Care, School of Health Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, United Kingdom
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20
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Warner SC, Walsh DA, Laslett LL, Maciewicz RA, Soni A, Hart DJ, Zhang W, Muir KR, Dennison EM, Leaverton P, Rampersaud E, Cooper C, Spector TD, Cicuttini FM, Arden NK, Jones G, Doherty M, Valdes AM. Pain in knee osteoarthritis is associated with variation in the neurokinin 1/substance P receptor (TACR1) gene. Eur J Pain 2017; 21:1277-1284. [PMID: 28493529 DOI: 10.1002/ejp.1027] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/21/2017] [Indexed: 01/02/2023]
Abstract
BACKGROUND Substance P (SP) is a pain- and inflammation-related neuropeptide which preferentially binds to the neurokinin receptor 1 (NK1 ). SP and NK1 receptors have been implicated in joint pain, inflammation and damage in animal models and human studies of osteoarthritis (OA). The aim of this study was to test if genetic variation at the neurokinin 1 receptor gene (TACR1) is associated with pain in individuals with radiographic knee OA. METHODS Participants from the Genetics of OA and Lifestyle study were used for the discovery group (n = 1615). Genotype data for six SNPs selected to cover most variation in the TACR1 gene were used to test for an association with symptomatic OA. Replication analysis was performed using data from the Chingford 1000 Women Study, Hertfordshire Cohort Study, Tasmanian Older Adult Cohort Study and the Clearwater OA Study. In total, n = 1715 symptomatic OA and n = 735 asymptomatic OA individuals were analysed. RESULTS Out of six SNPs tested in the TACR1 gene, one (rs11688000) showed a nominally significant association with a decreased risk of symptomatic OA in the discovery cohort. This was then replicated in four additional cohorts. After adjusting for age, gender, body mass index and radiographic severity, the G (minor) allele at rs11688000 was associated with a decreased risk of symptomatic OA compared to asymptomatic OA cases (p = 9.90 × 10-4 , OR = 0.79 95% 0.68-0.90 after meta-analysis). CONCLUSIONS This study supports a contribution from the TACR1 gene in human OA pain, supporting further investigation of this gene's function in OA. SIGNIFICANCE This study contributes to the knowledge of the genetics of painful osteoarthritis, a condition which affects millions of individuals worldwide. Specifically, a contribution from the TACR1 gene to modulating pain sensitivity in osteoarthritis is suggested.
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Affiliation(s)
- S C Warner
- Academic Rheumatology, University of Nottingham, UK.,Department of Cardiovascular Sciences, Leicester Cardiovascular Biomedical Research Unit, University of Leicester and National Institute for Health Research, UK
| | - D A Walsh
- Academic Rheumatology, University of Nottingham, UK.,Arthritis Research UK Pain Centre, School of Medicine, University of Nottingham, UK
| | - L L Laslett
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia
| | - R A Maciewicz
- Respiratory, Inflammation and Autoimmunity Innovative Medicines, AstraZeneca, Cambridge, UK
| | - A Soni
- NIHR Musculoskeletal Biomedical Research Unit, University of Oxford, UK
| | - D J Hart
- Department of Twin Research, St Thomas' Hospital, King's College London, UK
| | - W Zhang
- Academic Rheumatology, University of Nottingham, UK.,Arthritis Research UK Pain Centre, School of Medicine, University of Nottingham, UK
| | - K R Muir
- Institute of Population Health, University of Manchester, UK
| | - E M Dennison
- MRC Lifecourse Epidemiology Unit, Southampton General Hospital, University of Southampton, UK
| | - P Leaverton
- The Arthritis Research Institute of America, Clearwater, USA
| | - E Rampersaud
- University of Miami Miller School of Medicine, USA
| | - C Cooper
- NIHR Musculoskeletal Biomedical Research Unit, University of Oxford, UK.,MRC Lifecourse Epidemiology Unit, Southampton General Hospital, University of Southampton, UK
| | - T D Spector
- Department of Twin Research, St Thomas' Hospital, King's College London, UK
| | - F M Cicuttini
- Department of Epidemiology and Preventive Medicine, Monash University Medical School, Melbourne, Australia
| | - N K Arden
- NIHR Musculoskeletal Biomedical Research Unit, University of Oxford, UK.,MRC Lifecourse Epidemiology Unit, Southampton General Hospital, University of Southampton, UK
| | - G Jones
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia
| | - M Doherty
- Academic Rheumatology, University of Nottingham, UK.,Arthritis Research UK Pain Centre, School of Medicine, University of Nottingham, UK
| | - A M Valdes
- Academic Rheumatology, University of Nottingham, UK.,Arthritis Research UK Pain Centre, School of Medicine, University of Nottingham, UK
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Lophatananon A, Alajmi K, Thorpe E, Hughes J, Blodgett J, Fisher B, Rogers S, Waters EK, Muir KR. Abstract B10: Development of a cancer risk prediction tool for use in the Risk Estimation For Lifestyle Enhancement Combined Trial (REFLECT). Cancer Epidemiol Biomarkers Prev 2017. [DOI: 10.1158/1538-7755.carisk16-b10] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
Abstract
This abstract is being presented as a short talk in the scientific program. A full abstract is printed in the Proffered Abstracts section (PR14) of the Conference Proceedings.
Citation Format: Artitaya Lophatananon, Kawthar Alajmi, Emma Thorpe, John Hughes, Joanna Blodgett, Bernadette Fisher, Simon Rogers, Erika K. Waters, Kenneth R. Muir. Development of a cancer risk prediction tool for use in the Risk Estimation For Lifestyle Enhancement Combined Trial (REFLECT). [abstract]. In: Proceedings of the AACR Special Conference: Improving Cancer Risk Prediction for Prevention and Early Detection; Nov 16-19, 2016; Orlando, FL. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2017;26(5 Suppl):Abstract nr B10.
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Affiliation(s)
| | | | - Emma Thorpe
- 2The Christie NHS Foundation Trust, Manchester, United Kingdom,
| | - John Hughes
- 1University of Manchester, Manchester, United Kingdom,
| | | | | | - Simon Rogers
- 3Bodey Medical Centre, Manchester, United Kingdom,
| | - Erika K. Waters
- 4Washington University School of Medicine Campus, St. Louis, MO
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22
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Lophatananon A, Alajmi K, Thorpe E, Hughes J, Blodgett J, Fisher B, Rogers S, Waters EK, Muir KR. Abstract PR14: Development of a cancer risk prediction tool for use in the Risk Estimation For Lifestyle Enhancement Combined Trial (REFLECT). Cancer Epidemiol Biomarkers Prev 2017. [DOI: 10.1158/1538-7755.carisk16-pr14] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
Abstract
Exposure to modifiable lifestyle and environmental risk factors accounts for approximately 40% of all cancers in the UK. Therefore, primary prevention is of growing importance and an effective and engaging strategy that encourages long-term adoption of healthy lifestyle behaviours is required.
Several multivariable risk prediction models have been developed to assess an individual's risk of developing specific cancers. Such models can be used in a variety of settings for prevention, screening, and guiding investigation and treatment. Models aimed at predicting future disease risk that contains modifiable factors may be of particular use for targeting health promotion activities at an individual level. We have therefore developed a UK version of the well-established U.S. derived “YourDiseaseRisk” model which allow users to quantify their individual risk of developing individual cancers relative to the population average risk.
The UK-Manchester version of “YourDiseaseRisk” computes 10 year cancer risk for 11 cancer types utilising UK figures for prevalence of risk factors and cancer incidence. The model can be used to estimate cancer risk for use in community settings.
Using a variety of qualitative and quantitative methods we have assessed the impact of the REFLECT risk model on public understanding of cancer risk factors and UK NHS Cancer Screening programs. We have also explored public opinion and perceptions regarding the provision of information on of genetic susceptibility to aid in further personalising cancer risk information.
This abstract is also being presented as Poster B10.
Citation Format: Artitaya Lophatananon, Kawthar Alajmi, Emma Thorpe, John Hughes, Joanna Blodgett, Bernadette Fisher, Simon Rogers, Erika K. Waters, Kenneth R. Muir. Development of a cancer risk prediction tool for use in the Risk Estimation For Lifestyle Enhancement Combined Trial (REFLECT). [abstract]. In: Proceedings of the AACR Special Conference: Improving Cancer Risk Prediction for Prevention and Early Detection; Nov 16-19, 2016; Orlando, FL. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2017;26(5 Suppl):Abstract nr PR14.
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Affiliation(s)
| | | | - Emma Thorpe
- 2The Christie NHS Foundation Trust, Manchester, United Kingdom,
| | - John Hughes
- 1University of Manchester, Manchester, United Kingdom,
| | | | | | - Simon Rogers
- 3Bodey Medical Centre, Manchester, United Kingdom,
| | - Erika K. Waters
- 4Washington University School of Medicine Campus, St. Louis, MO
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Usher-Smith JA, Silarova B, Ward A, Youell J, Muir KR, Campbell J, Warcaba J. Incorporating cancer risk information into general practice: a qualitative study using focus groups with health professionals. Br J Gen Pract 2017; 67:e218-e226. [PMID: 28193618 PMCID: PMC5325664 DOI: 10.3399/bjgp17x689401] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2016] [Accepted: 08/25/2016] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND It is estimated that approximately 40% of all cases of cancer are attributable to lifestyle factors. Providing people with personalised information about their future risk of cancer may help promote behaviour change. AIM To explore the views of health professionals on incorporating personalised cancer risk information, based on lifestyle factors, into general practice. DESIGN AND SETTING Qualitative study using data from six focus groups with a total of 24 general practice health professionals from the NHS Nene Clinical Commissioning Group in England. METHOD The focus groups were guided by a schedule covering current provision of lifestyle advice relating to cancer and views on incorporating personalised cancer risk information. Data were audiotaped, transcribed verbatim, and then analysed using thematic analysis. RESULTS Providing lifestyle advice was viewed as a core activity within general practice but the influence of lifestyle on cancer risk was rarely discussed. The word 'cancer' was seen as a potentially powerful motivator for lifestyle change but the fact that it could generate health anxiety was also recognised. Most focus group participants felt that a numerical risk estimate was more likely to influence behaviour than generic advice. All felt that general practice should provide this information, but there was a clear need for additional resources for it to be offered widely. CONCLUSION Study participants were in support of providing personalised cancer risk information in general practice. The findings highlight a number of potential benefits and challenges that will inform the future development of interventions in general practice to promote behaviour change for cancer prevention.
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Affiliation(s)
| | | | - Alison Ward
- Institute of Health and Wellbeing, University of Northampton, Northampton
| | - Jane Youell
- Institute of Health and Wellbeing, University of Northampton, Northampton
| | - Kenneth R Muir
- Institute of Population Health, University of Manchester, Manchester
| | - Jackie Campbell
- Institute of Health and Wellbeing, University of Northampton, Northampton
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24
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Gnanapragasam VJ, Lophatananon A, Wright KA, Muir KR, Gavin A, Greenberg DC. Improving Clinical Risk Stratification at Diagnosis in Primary Prostate Cancer: A Prognostic Modelling Study. PLoS Med 2016; 13:e1002063. [PMID: 27483464 PMCID: PMC4970710 DOI: 10.1371/journal.pmed.1002063] [Citation(s) in RCA: 39] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/03/2015] [Accepted: 05/24/2016] [Indexed: 11/19/2022] Open
Abstract
INTRODUCTION Over 80% of the nearly 1 million men diagnosed with prostate cancer annually worldwide present with localised or locally advanced non-metastatic disease. Risk stratification is the cornerstone for clinical decision making and treatment selection for these men. The most widely applied stratification systems use presenting prostate-specific antigen (PSA) concentration, biopsy Gleason grade, and clinical stage to classify patients as low, intermediate, or high risk. There is, however, significant heterogeneity in outcomes within these standard groupings. The International Society of Urological Pathology (ISUP) has recently adopted a prognosis-based pathological classification that has yet to be included within a risk stratification system. Here we developed and tested a new stratification system based on the number of individual risk factors and incorporating the new ISUP prognostic score. METHODS AND FINDINGS Diagnostic clinicopathological data from 10,139 men with non-metastatic prostate cancer were available for this study from the Public Health England National Cancer Registration Service Eastern Office. This cohort was divided into a training set (n = 6,026; 1,557 total deaths, with 462 from prostate cancer) and a testing set (n = 4,113; 1,053 total deaths, with 327 from prostate cancer). The median follow-up was 6.9 y, and the primary outcome measure was prostate-cancer-specific mortality (PCSM). An external validation cohort (n = 1,706) was also used. Patients were first categorised as low, intermediate, or high risk using the current three-stratum stratification system endorsed by the National Institute for Health and Care Excellence (NICE) guidelines. The variables used to define the groups (PSA concentration, Gleason grading, and clinical stage) were then used to sub-stratify within each risk category by testing the individual and then combined number of risk factors. In addition, we incorporated the new ISUP prognostic score as a discriminator. Using this approach, a new five-stratum risk stratification system was produced, and its prognostic power was compared against the current system, with PCSM as the outcome. The results were analysed using a Cox hazards model, the log-rank test, Kaplan-Meier curves, competing-risks regression, and concordance indices. In the training set, the new risk stratification system identified distinct subgroups with different risks of PCSM in pair-wise comparison (p < 0.0001). Specifically, the new classification identified a very low-risk group (Group 1), a subgroup of intermediate-risk cancers with a low PCSM risk (Group 2, hazard ratio [HR] 1.62 [95% CI 0.96-2.75]), and a subgroup of intermediate-risk cancers with an increased PCSM risk (Group 3, HR 3.35 [95% CI 2.04-5.49]) (p < 0.0001). High-risk cancers were also sub-classified by the new system into subgroups with lower and higher PCSM risk: Group 4 (HR 5.03 [95% CI 3.25-7.80]) and Group 5 (HR 17.28 [95% CI 11.2-26.67]) (p < 0.0001), respectively. These results were recapitulated in the testing set and remained robust after inclusion of competing risks. In comparison to the current risk stratification system, the new system demonstrated improved prognostic performance, with a concordance index of 0.75 (95% CI 0.72-0.77) versus 0.69 (95% CI 0.66-0.71) (p < 0.0001). In an external cohort, the new system achieved a concordance index of 0.79 (95% CI 0.75-0.84) for predicting PCSM versus 0.66 (95% CI 0.63-0.69) (p < 0.0001) for the current NICE risk stratification system. The main limitations of the study were that it was registry based and that follow-up was relatively short. CONCLUSIONS A novel and simple five-stratum risk stratification system outperforms the standard three-stratum risk stratification system in predicting the risk of PCSM at diagnosis in men with primary non-metastatic prostate cancer, even when accounting for competing risks. This model also allows delineation of new clinically relevant subgroups of men who might potentially receive more appropriate therapy for their disease. Future research will seek to validate our results in external datasets and will explore the value of including additional variables in the system in order in improve prognostic performance.
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Affiliation(s)
- Vincent J. Gnanapragasam
- Academic Urology Group, Department of Surgery, University of Cambridge, Cambridge, United Kingdom
- * E-mail:
| | - Artitaya Lophatananon
- Institute of Population Health, University of Manchester, Manchester, United Kingdom
- Division of Health Sciences, Warwick Medical School, University of Warwick, Coventry, United Kingdom
| | - Karen A. Wright
- National Cancer Registration Service Eastern Office, Public Health England, Cambridge, United Kingdom
| | - Kenneth R. Muir
- Institute of Population Health, University of Manchester, Manchester, United Kingdom
- Division of Health Sciences, Warwick Medical School, University of Warwick, Coventry, United Kingdom
| | - Anna Gavin
- Northern Ireland Cancer Registry, Centre for Public Health, Queen’s University Belfast, Belfast, United Kingdom
| | - David C. Greenberg
- National Cancer Registration Service Eastern Office, Public Health England, Cambridge, United Kingdom
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Lima MJ, Muir KR, Docherty HM, McGowan NWA, Forbes S, Heremans Y, Heimberg H, Casey J, Docherty K. Generation of Functional Beta-Like Cells from Human Exocrine Pancreas. PLoS One 2016; 11:e0156204. [PMID: 27243814 PMCID: PMC4887015 DOI: 10.1371/journal.pone.0156204] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.4] [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] [Received: 03/17/2016] [Accepted: 05/10/2016] [Indexed: 12/24/2022] Open
Abstract
Transcription factor mediated lineage reprogramming of human pancreatic exocrine tissue could conceivably provide an unlimited supply of islets for transplantation in the treatment of diabetes. Exocrine tissue can be efficiently reprogrammed to islet-like cells using a cocktail of transcription factors: Pdx1, Ngn3, MafA and Pax4 in combination with growth factors. We show here that overexpression of exogenous Pax4 in combination with suppression of the endogenous transcription factor ARX considerably enhances the production of functional insulin-secreting β-like cells with concomitant suppression of α-cells. The efficiency was further increased by culture on laminin-coated plates in media containing low glucose concentrations. Immunocytochemistry revealed that reprogrammed cultures were composed of ~45% islet-like clusters comprising >80% monohormonal insulin+ cells. The resultant β-like cells expressed insulin protein levels at ~15–30% of that in adult human islets, efficiently processed proinsulin and packaged insulin into secretory granules, exhibited glucose responsive insulin secretion, and had an immediate and prolonged effect in normalising blood glucose levels upon transplantation into diabetic mice. We estimate that approximately 3 billion of these cells would have an immediate therapeutic effect following engraftment in type 1 diabetes patients and that one pancreas would provide sufficient tissue for numerous transplants.
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Affiliation(s)
- Maria J. Lima
- School of Medical Sciences, University of Aberdeen, Institute of Medical Sciences, Foresterhill, Aberdeen, AB25 2ZD, United Kingdom
- * E-mail:
| | - Kenneth R. Muir
- School of Medical Sciences, University of Aberdeen, Institute of Medical Sciences, Foresterhill, Aberdeen, AB25 2ZD, United Kingdom
| | - Hilary M. Docherty
- School of Medical Sciences, University of Aberdeen, Institute of Medical Sciences, Foresterhill, Aberdeen, AB25 2ZD, United Kingdom
| | - Neil W. A. McGowan
- Department of Surgery, University of Edinburgh, Edinburgh Royal Infirmary, Edinburgh, EH16 4SU, United Kingdom
| | - Shareen Forbes
- Endocrinology Unit, University/BHF Centre for Cardiovascular Science, Queen’s Medical Research Institute, University of Edinburgh, Edinburgh, EH16 4TJ, United Kingdom
| | - Yves Heremans
- Diabetes Research Centre, Vrije Universiteit Brussel, B1090 Brussels, Belgium
| | - Harry Heimberg
- Diabetes Research Centre, Vrije Universiteit Brussel, B1090 Brussels, Belgium
| | - John Casey
- Department of Surgery, University of Edinburgh, Edinburgh Royal Infirmary, Edinburgh, EH16 4SU, United Kingdom
| | - Kevin Docherty
- School of Medical Sciences, University of Aberdeen, Institute of Medical Sciences, Foresterhill, Aberdeen, AB25 2ZD, United Kingdom
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Greenberg DC, Lophatananon A, Wright KA, Muir KR, Gnanapragasam VJ. Trends and outcome from radical therapy for primary non-metastatic prostate cancer in a UK population. PLoS One 2015; 10:e0119494. [PMID: 25742020 PMCID: PMC4351083 DOI: 10.1371/journal.pone.0119494] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2014] [Accepted: 01/17/2015] [Indexed: 11/20/2022] Open
Abstract
Background Increasing proportions of men diagnosed with prostate cancer in the UK are presenting with non-metastatic disease. We investigated how treatment trends in this demographic have changed. Patient and Methods Non-metastatic cancers diagnosed from 2000–2010 in the UK Anglian Cancer network stratified by age and risk group were analysed [n = 10,365]. Radiotherapy [RT] and prostatectomy [RP] cancer specific survival [CSS] were further compared [n = 4755]. Results Over the decade we observed a fall in uptake of primary androgen deprivation therapy but a rise in conservative management [CM] and radical therapy [p<0.0001]. CM in particular has become the primary management for low-risk disease by the decade end [p<0.0001]. In high-risk disease however both RP and RT uptake increased significantly but in an age dependent manner [p<0.0001]. Principally, increased RP in younger men and increased RT in men ≥ 70y. In multivariate analysis of radically treated men both high-risk disease [HR 8.0 [2.9–22.2], p<0.0001] and use of RT [HR 1.9 [1.0–3.3], p = 0.024] were significant predictors of a poorer CSM. In age-stratified analysis however, the trend to benefit of RP over RT was seen only in younger men [≤ 60 years] with high-risk disease [p = 0.07]. The numbers needed to treat by RP instead of RT to save one cancer death was 19 for this group but 67 for the overall cohort. Conclusion This study has identified significant shifts in non-metastatic prostate cancer management over the last decade. Low-risk disease is now primarily managed by CM while high-risk disease is increasingly treated radically. Treatment of high-risk younger men by RP is supported by evidence of better CSM but this benefit is not evident in older men.
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Affiliation(s)
- David C. Greenberg
- Public Health England, National Cancer Registration Service [Eastern Office], Cambridge, United Kingdom
| | - Artitaya Lophatananon
- Division of Health Sciences, Warwick Medical School, University of Warwick, Warwick, United Kingdom
- Institute of Population Health, University of Manchester, Manchester, United Kingdom
| | - Karen A. Wright
- Public Health England, National Cancer Registration Service [Eastern Office], Cambridge, United Kingdom
| | - Kenneth R. Muir
- Division of Health Sciences, Warwick Medical School, University of Warwick, Warwick, United Kingdom
- Institute of Population Health, University of Manchester, Manchester, United Kingdom
| | - Vincent J. Gnanapragasam
- Academic Urology Group, Department of Surgery & Oncology, University of Cambridge, Cambridge, United Kingdom
- Translational Prostate Cancer Group, Hutchison/MRC Research centre, University of Cambridge, Cambridge, United Kingdom
- * E-mail:
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27
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Muir KR, Lima MJ, Docherty HM, McGowan NWA, Forbes S, Heremans Y, Forbes SJ, Heimberg H, Casey J, Docherty K. Krüppel-Like Factor 4 Overexpression Initiates a Mesenchymal-to-Epithelial Transition and Redifferentiation of Human Pancreatic Cells following Expansion in Long Term Adherent Culture. PLoS One 2015; 10:e0140352. [PMID: 26457418 PMCID: PMC4601732 DOI: 10.1371/journal.pone.0140352] [Citation(s) in RCA: 8] [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] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2015] [Accepted: 09/24/2015] [Indexed: 02/01/2023] Open
Abstract
A replenishable source of insulin-producing cells has the potential to cure type 1 diabetes. Attempts to culture and expand pancreatic β-cells in vitro have resulted in their transition from insulin-producing epithelial cells to mesenchymal stromal cells (MSCs) with high proliferative capacity but devoid of any hormone production. The aim of this study was to determine whether the transcription factor Krüppel-like factor 4 (KLF4), could induce a mesenchymal-to-epithelial transition (MET) of the cultured cells. Islet-enriched pancreatic cells, allowed to dedifferentiate and expand in adherent cell culture, were transduced with an adenovirus containing KLF4 (Ad-Klf4). Cells were subsequently analysed for changes in cell morphology by light microscopy, and for the presence of epithelial and pancreatic markers by immunocytochemistry and quantitative RT/PCR. Infection with Ad-Klf4 resulted in morphological changes, down-regulation of mesenchymal markers, and re-expression of both epithelial and pancreatic cell markers including insulin and transcription factors specific to β-cells. This effect was further enhanced by culturing cells in suspension. However, the effects of Ad-KLf4 were transient and this was shown to be due to increased apoptosis in Klf4-expressing cells. Klf4 has been recently identified as a pioneer factor with the ability to modulate the structure of chromatin and enhance reprogramming/transdifferentiation. Our results show that Klf4 may have a role in the redifferentiation of expanded pancreatic cells in culture, but before this can be achieved the off-target effects that result in increased apoptosis would need to be overcome.
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Affiliation(s)
- Kenneth R. Muir
- School of Medical Sciences, University of Aberdeen, Institute of Medical Sciences, Foresterhill, Aberdeen, United Kingdom
| | - Maria João Lima
- School of Medical Sciences, University of Aberdeen, Institute of Medical Sciences, Foresterhill, Aberdeen, United Kingdom
| | - Hilary M. Docherty
- School of Medical Sciences, University of Aberdeen, Institute of Medical Sciences, Foresterhill, Aberdeen, United Kingdom
| | - Neil W. A. McGowan
- Department of Surgery, University of Edinburgh, Edinburgh Royal Infirmary, Edinburgh, United Kingdom
| | - Shareen Forbes
- Endocrinology Unit, University/BHF Centre for Cardiovascular Science, Queen’s Medical Research Institute, University of Edinburgh, Edinburgh, United Kingdom
| | - Yves Heremans
- Diabetes Research Center, Vrije Universiteit Brussel, Brussels, Belgium
| | - Stuart J. Forbes
- MRC Centre for Regenerative Medicine, SCRM Building, The University of Edinburgh, Edinburgh, United Kingdom
| | - Harry Heimberg
- Diabetes Research Center, Vrije Universiteit Brussel, Brussels, Belgium
| | - John Casey
- Department of Surgery, University of Edinburgh, Edinburgh Royal Infirmary, Edinburgh, United Kingdom
| | - Kevin Docherty
- School of Medical Sciences, University of Aberdeen, Institute of Medical Sciences, Foresterhill, Aberdeen, United Kingdom
- * E-mail:
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Panoutsopoulou K, Metrustry S, Doherty SA, Laslett LL, Maciewicz RA, Hart DJ, Zhang W, Muir KR, Wheeler M, Cooper C, Spector TD, Cicuttini FM, Jones G, Arden NK, Doherty M, Zeggini E, Valdes AM. The effect of FTO variation on increased osteoarthritis risk is mediated through body mass index: a Mendelian randomisation study. Ann Rheum Dis 2014; 73:2082-6. [PMID: 23921993 PMCID: PMC4251538 DOI: 10.1136/annrheumdis-2013-203772] [Citation(s) in RCA: 37] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2013] [Revised: 06/21/2013] [Accepted: 07/15/2013] [Indexed: 01/10/2023]
Abstract
OBJECTIVE Variation in the fat mass and obesity-associated (FTO) gene influences susceptibility to obesity. A variant in the FTO gene has been implicated in genetic risk to osteoarthritis (OA). We examined the role of the FTO polymorphism rs8044769 in risk of knee and hip OA in cases and controls incorporating body mass index (BMI) information. METHODS 5409 knee OA patients, 4355 hip OA patients and up to 5362 healthy controls from 7 independent cohorts from the UK and Australia were genotyped for rs8044769. The association of the FTO variant with OA was investigated in case/control analyses with and without BMI adjustment and in analyses matched for BMI category. A mendelian randomisation approach was employed using the FTO variant as the instrumental variable to evaluate the role of overweight on OA. RESULTS In the meta-analysis of all overweight (BMI≥25) samples versus normal-weight controls irrespective of OA status the association of rs8044769 with overweight is highly significant (OR[CIs] for allele G=1.14 [01.08 to 1.19], p=7.5×10(-7)). A significant association with knee OA is present in the analysis without BMI adjustment (OR[CIs]=1.08[1.02 to 1.14], p=0.009) but the signal fully attenuates after BMI adjustment (OR[CIs]=0.99[0.93 to 1.05], p=0.666). We observe no evidence for association in the BMI-matched meta-analyses. Using mendelian randomisation approaches we confirm the causal role of overweight on OA. CONCLUSIONS Our data highlight the contribution of genetic risk to overweight in defining risk to OA but the association is exclusively mediated by the effect on BMI. This is consistent with what is known of the biology of the FTO gene and supports the causative role of high BMI in OA.
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Affiliation(s)
| | - Sarah Metrustry
- Department of Twin Research, King's College London, St Thomas' Hospital, London, UK
| | - Sally A Doherty
- Academic Rheumatology, Nottingham City Hospital, Nottingham, UK
| | - Laura L Laslett
- Menzies Research Institute Tasmania, University of Tasmania, Hobart, Australia
| | | | - Deborah J Hart
- Department of Twin Research, King's College London, St Thomas' Hospital, London, UK
| | - Weiya Zhang
- Academic Rheumatology, Nottingham City Hospital, Nottingham, UK
| | - Kenneth R Muir
- Centre for Epidemiology, Institute of Population Health, The Medical School, University of Manchester, Manchester, UK Health Sciences Research Institute, Warwick Medical School, University of Warwick, Coventry, UK
| | | | - Cyrus Cooper
- NIHR Musculoskeletal Biomedical Research Unit, University of Oxford, Oxford, UK MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton General Hospital, Southampton, UK
| | - Tim D Spector
- Department of Twin Research, King's College London, St Thomas' Hospital, London, UK
| | - Flavia M Cicuttini
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Alfred Hospital, Melbourne, Australia
| | - Graeme Jones
- Menzies Research Institute Tasmania, University of Tasmania, Hobart, Australia
| | - Nigel K Arden
- NIHR Musculoskeletal Biomedical Research Unit, University of Oxford, Oxford, UK MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton General Hospital, Southampton, UK
| | - Michael Doherty
- Academic Rheumatology, Nottingham City Hospital, Nottingham, UK
| | - Eleftheria Zeggini
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, UK
| | - Ana M Valdes
- Department of Twin Research, King's College London, St Thomas' Hospital, London, UK Academic Rheumatology, Nottingham City Hospital, Nottingham, UK
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Weng PH, Huang YL, Page JH, Chen JH, Xu J, Koutros S, Berndt S, Chanock S, Yeager M, Witte JS, Eeles RA, Easton DF, Neal DE, Donovan J, Hamdy FC, Muir KR, Giles G, Severi G, Smith JR, Balistreri CR, Shui IM, Chen YC. Polymorphisms of an innate immune gene, toll-like receptor 4, and aggressive prostate cancer risk: a systematic review and meta-analysis. PLoS One 2014; 9:e110569. [PMID: 25360682 PMCID: PMC4215920 DOI: 10.1371/journal.pone.0110569] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2014] [Accepted: 09/15/2014] [Indexed: 12/22/2022] Open
Abstract
BACKGROUND Toll-like receptor 4 (TLR4) is one of the best known TLR members expressed on the surface of several leukocytes and tissue cells and has a key function in detecting pathogen and danger-associated molecular patterns. The role of TLR4 in the pathophysiology of several age-related diseases is also well recognized, such as prostate cancer (PCa). TLR4 polymorphisms have been related to PCa risk, but the relationship between TLR4 genotypes and aggressive PCa risk has not been evaluated by any systematic reviews. METHODS We performed a systematic review and meta-analysis of candidate-gene and genome-wide association studies analyzing this relationship and included only white population. Considering appropriate criteria, only nine studies were analyzed in the meta-analysis, including 3,937 aggressive PCa and 7,382 controls. RESULTS Using random effects model, no significant association was found in the ten TLR4 SNPs reported by at least four included studies under any inheritance model (rs2737191, rs1927914, rs10759932, rs1927911, rs11536879, rs2149356, rs4986790, rs11536889, rs7873784, and rs1554973). Pooled estimates from another ten TLR4 SNPs reported by three studies also showed no significant association (rs10759930, rs10116253, rs11536869, rs5030717, rs4986791, rs11536897, rs1927906, rs913930, rs1927905, and rs7045953). Meta-regression revealed that study type was not a significant source of between-study heterogeneity. CONCLUSIONS TLR4 polymorphisms were not significantly associated with the risk of aggressive PCa.
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Affiliation(s)
- Pei-Hsuan Weng
- Department of Family Medicine, Taiwan Adventist Hospital, Taipei, Taiwan
- Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei, Taiwan
| | - Yi-Ling Huang
- Jean Mayer US Department of Agriculture Human Nutrition Research Center on Aging, Tufts University, Boston, Massachusetts, United States of America
| | - John H. Page
- Channing Laboratory, Department of Epidemiology, Brigham and Women's Hospital, Boston, Massachusetts, United States of America
| | - Jen-Hau Chen
- Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei, Taiwan
- Department of Geriatrics and Gerontology, National Taiwan University Hospital, Taipei, Taiwan
| | - Jianfeng Xu
- Center for Human Genomics, Wake Forest University School of Medicine, Winston-Salem, North Carolina, United States of America
| | - Stella Koutros
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, Maryland, United States of America
| | - Sonja Berndt
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, Maryland, United States of America
| | - Stephen Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, Maryland, United States of America
| | - Meredith Yeager
- Core Genotyping Facility, SAIC-Frederick, Inc., NCI-Frederick, Frederick, Maryland, United States of America
- Division of Cancer Epidemiology and Genetics, NCI, NIH, DHHS, Bethesda, Maryland, United States of America
| | - John S. Witte
- Department of Epidemiology and Biostatistics and Center of Human Genetics, University of California San Francisco, San Francisco, California, United States of America
| | | | - Douglas F. Easton
- Centre for Cancer Epidemiology, Departments of Public Health and Primary Care and Oncology, University of Cambridge, Strangeways Laboratory, Cambridge, United Kingdom
| | - David E. Neal
- Surgical Oncology (Uro-Oncology: S4), Departments of Oncology and Surgery, University of Cambridge, Addenbrooke's Hospital, Cambridge, United Kingdom
| | - Jenny Donovan
- Department of Social Medicine, University of Bristol, Bristol, United Kingdom
| | - Freddie C. Hamdy
- Academic Urology Unit, University of Sheffield, Sheffield, United Kingdom
| | - Kenneth R. Muir
- University of Nottingham Medical School, Queens Medical Centre, Nottingham, United Kingdom
| | - Graham Giles
- Cancer Epidemiology Centre, Cancer Council Victoria, Melbourne, Australia
| | - Gianluca Severi
- Cancer Epidemiology Centre, Cancer Council Victoria, Melbourne, Australia
| | - Jeffrey R. Smith
- Department of Medicine, Vanderbilt University School of Medicine, Nashville, Tennessee, United States of America
| | - Carmela R. Balistreri
- Department of Pathobiology and Medical and Forensic Biotechnologies, University of Palermo, Palermo, Italy
| | - Irene M. Shui
- Department of Epidemiology, Harvard School of Public Health, Boston, Massachusetts, United States of America
| | - Yen-Ching Chen
- Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei, Taiwan
- Research Center for Genes, Environment and Human Health, College of Public Health, National Taiwan University, Taipei, Taiwan
- Department of Public Health, College of Public Health, National Taiwan University, Taipei, Taiwan
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McWilliams DF, Muthuri S, Muir KR, Maciewicz RA, Zhang W, Doherty M. Self-reported adult footwear and the risks of lower limb osteoarthritis: the GOAL case control study. BMC Musculoskelet Disord 2014; 15:308. [PMID: 25240981 PMCID: PMC4190490 DOI: 10.1186/1471-2474-15-308] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/13/2014] [Accepted: 09/17/2014] [Indexed: 11/13/2022] Open
Abstract
Background Biomechanical factors may play a role in osteoarthritis (OA) development and progression. Previous biomechanical studies have indicated that types of footwear may modulate forces across the knee joint, and high heeled womens’ shoes in particular are hypothesised to be detrimental to lower limb joint health. This analysis of data from a case control study investigated persistent users of different adult footwear for risks of knee and hip OA. Our underlying hypotheses were that high heeled, narrow heeled, and hard soled shoe types were putative risk factors for lower limb OA. Methods Data on footwear were initially obtained from participants during the Genetics of Osteoarthritis and Lifestyle (GOAL) hospital-based, case control study using standardised interview-delivered questionnaires. An additional questionnaire was later sent to GOAL study participants to verify findings and to further investigate specific shoe use per decade of life. Persistent users of footwear types (high or narrow heel; sole thickness or hardness) were identified from early adulthood. Participants were grouped into single sex knee OA, hip OA or control groups. Adjusted odds ratios (aOR) and 95% confidence interval (CI) were calculated. Results Univariate analysis of persistent users of women’s high heeled and narrow heeled shoes during early adulthood showed negative associations with knee OA and hip OA. After logistic regression, persistent narrow heel users were associated with less risk of OA (knee OA aOR 0.59, 95% CI 0.35 – 1.00 and hip aOR: 0.50, 95% CI 0.30 – 0.85), and other analyses were not statistically significant. Further analysis suggested that women with hip OA may have stopped wearing high and narrow heeled footwear to attenuate hip pain in early adulthood. Consistent associations between shoe soles and OA were not found. Conclusions In general, persistent users of high and narrow heeled shoes during early adulthood had a negative association with knee or hip OA. This does not necessarily imply a causal relationship, as changing footwear during early adulthood to modulate index joint pain may provide a possible explanation. Despite the findings of previous biomechanical studies of high heels, we did not find a positive association between women’s shoes and lower limb osteoarthritis. Electronic supplementary material The online version of this article (doi:10.1186/1471-2474-15-308) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Daniel F McWilliams
- Division of Rheumatology, Orthopaedics and Dermatology, University of Nottingham, Nottingham, UK.
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Abstract
Cell therapy in the form of human islet transplantation has been a successful form of treatment for patients with type 1 diabetes for over 10 years, but is significantly limited by lack of suitable donor material. A replenishable supply of insulin-producing cells has the potential to address this problem; however to date success has been limited to a few preclinical studies. Two of the most promising strategies include differentiation of embryonic stem cells and induced pluripotent stem cells towards insulin-producing cells and transdifferentiation of acinar or other closely related cell types towards β-cells. Here, we discuss recent progress and challenges that need to be overcome in taking cell therapy to the clinic.
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Affiliation(s)
- K R Muir
- School of Medical Sciences, Institute of Medical Sciences, University of Aberdeen, Aberdeen AB25 2ZD, UK.
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Greenberg DC, Wright KA, Lophathanon A, Muir KR, Gnanapragasam VJ. Changing presentation of prostate cancer in a UK population--10 year trends in prostate cancer risk profiles in the East of England. Br J Cancer 2013; 109:2115-20. [PMID: 24071596 PMCID: PMC3798976 DOI: 10.1038/bjc.2013.589] [Citation(s) in RCA: 28] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2013] [Revised: 09/03/2013] [Accepted: 09/04/2013] [Indexed: 11/09/2022] Open
Abstract
BACKGROUND Prostate cancer incidence is rising in the United Kingdom but there is little data on whether the disease profile is changing. To address this, we interrogated a regional cancer registry for temporal changes in presenting disease characteristics. METHODS Prostate cancers diagnosed from 2000 to 2010 in the Anglian Cancer Network (n=21,044) were analysed. Risk groups (localised disease) were assigned based on NICE criteria. Age standardised incidence rates (IRs) were compared between 2000-2005 and 2006-2010 and plotted for yearly trends. RESULTS Over the decade, overall IR increased significantly (P<0.00001), whereas metastasis rates fell (P<0.0007). For localised disease, IR across all risk groups also increased but at different rates (P<0.00001). The most striking change was a three-fold increase in intermediate-risk cancers. Increased IR was evident across all PSA and stage ranges but with no upward PSA or stage shift. In contrast, IR of histological diagnosis of low-grade cancers fell over the decade, whereas intermediate and high-grade diagnosis increased significantly (P<0.00001). CONCLUSION This study suggests evidence of a significant upward migration in intermediate and high-grade histological diagnosis over the decade. This is most likely to be due to a change in histological reporting of diagnostic prostate biopsies. On the basis of this data, increasing proportions of newly diagnosed cancers will be considered eligible for radical treatment, which will have an impact on health resource planning and provision.
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Affiliation(s)
- D C Greenberg
- Public Health England, National Cancer Registration Service (Eastern Office), Cambridge CB22 3AD, UK
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Lima MJ, Muir KR, Docherty HM, Drummond R, McGowan NW, Forbes S, Heremans Y, Houbracken I, Ross JA, Forbes SJ, Ravassard P, Heimberg H, Casey J, Docherty K. Suppression of epithelial-to-mesenchymal transitioning enhances ex vivo reprogramming of human exocrine pancreatic tissue toward functional insulin-producing β-like cells. Diabetes 2013; 62:2821-33. [PMID: 23610058 PMCID: PMC3717833 DOI: 10.2337/db12-1256] [Citation(s) in RCA: 47] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Because of the lack of tissue available for islet transplantation, new sources of β-cells have been sought for the treatment of type 1 diabetes. The aim of this study was to determine whether the human exocrine-enriched fraction from the islet isolation procedure could be reprogrammed to provide additional islet tissue for transplantation. The exocrine-enriched cells rapidly dedifferentiated in culture and grew as a mesenchymal monolayer. Genetic lineage tracing confirmed that these mesenchymal cells arose, in part, through a process of epithelial-to-mesenchymal transitioning (EMT). A protocol was developed whereby transduction of these mesenchymal cells with adenoviruses containing Pdx1, Ngn3, MafA, and Pax4 generated a population of cells that were enriched in glucagon-secreting α-like cells. Transdifferentiation or reprogramming toward insulin-secreting β-cells was enhanced, however, when using unpassaged cells in combination with inhibition of EMT by inclusion of Rho-associated kinase (ROCK) and transforming growth factor-β1 inhibitors. Resultant cells were able to secrete insulin in response to glucose and on transplantation were able to normalize blood glucose levels in streptozotocin diabetic NOD/SCID mice. In conclusion, reprogramming of human exocrine-enriched tissue can be best achieved using fresh material under conditions whereby EMT is inhibited, rather than allowing the culture to expand as a mesenchymal monolayer.
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Affiliation(s)
- Maria João Lima
- School of Medical Sciences, University of Aberdeen, Institute of Medical Sciences, Foresterhill, Aberdeen, U.K
| | - Kenneth R. Muir
- School of Medical Sciences, University of Aberdeen, Institute of Medical Sciences, Foresterhill, Aberdeen, U.K
| | - Hilary M. Docherty
- School of Medical Sciences, University of Aberdeen, Institute of Medical Sciences, Foresterhill, Aberdeen, U.K
| | - Robert Drummond
- Medical Research Council Centre for Regenerative Medicine, Tissue Injury and Repair Group, University of Edinburgh, Chancellor's Building, Edinburgh, U.K
| | - Neil W.A. McGowan
- Department of Surgery, University of Edinburgh, Edinburgh Royal Infirmary, Edinburgh, U.K
| | - Shareen Forbes
- Endocrinology Unit, University/British Heart Foundation Centre for Cardiovascular Science, Queen’s Medical Research Institute, University of Edinburgh, U.K
| | - Yves Heremans
- Diabetes Research Center, Vrije Universiteit Brussel, Brussels, Belgium
| | | | - James A. Ross
- Medical Research Council Centre for Regenerative Medicine, Tissue Injury and Repair Group, University of Edinburgh, Chancellor's Building, Edinburgh, U.K
| | - Stuart J. Forbes
- Medical Research Council Centre for Regenerative Medicine, Scottish Centre for Regenerative Medicine Building, University of Edinburgh, Edinburgh, U.K
| | - Philippe Ravassard
- Biotechnology and Biotherapy Laboratory, CNRS UMR 7225, INSERM 975, Paris, France
- University Pierre and Marie Curie, Hôpital Pitié Salpêtrière, Paris, France
| | - Harry Heimberg
- Diabetes Research Center, Vrije Universiteit Brussel, Brussels, Belgium
| | - John Casey
- Department of Surgery, University of Edinburgh, Edinburgh Royal Infirmary, Edinburgh, U.K
| | - Kevin Docherty
- School of Medical Sciences, University of Aberdeen, Institute of Medical Sciences, Foresterhill, Aberdeen, U.K
- Corresponding author: Kevin Docherty,
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Neogi T, Soni A, Doherty SA, Laslett LL, Maciewicz RA, Hart DJ, Zhang W, Muir KR, Wheeler M, Cooper C, Spector TD, Cicuttini F, Jones G, Nevitt M, Liu Y, Arden NK, Doherty M, Valdes AM. Contribution of the COMT Val158Met variant to symptomatic knee osteoarthritis. Ann Rheum Dis 2013; 73:315-7. [PMID: 23852765 DOI: 10.1136/annrheumdis-2013-203836] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Affiliation(s)
- T Neogi
- Clinical Epidemiology Research and Training Unit, Boston University School of Medicine, , Boston, MA, USA
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Orozco G, Goh CL, Al Olama AA, Benlloch-Garcia S, Govindasami K, Guy M, Muir KR, Giles GG, Severi G, Neal DE, Hamdy FC, Donovan JL, Kote-Jarai Z, Easton DF, Eyre S, Eeles RA. Common genetic variants associated with disease from genome-wide association studies are mutually exclusive in prostate cancer and rheumatoid arthritis. BJU Int 2013; 111:1148-55. [PMID: 22985493 PMCID: PMC4491307 DOI: 10.1111/j.1464-410x.2012.11492.x] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
UNLABELLED WHAT'S KNOWN ON THE SUBJECT? AND WHAT DOES THE STUDY ADD?: The link between inflammation and cancer has long been reported and inflammation is thought to play a role in the pathogenesis of many cancers, including prostate cancer (PrCa). Over the last 5 years, genome-wide association studies (GWAS) have reported numerous susceptibility loci that predispose individuals to many different traits. The present study aims to ascertain if there are common genetic risk profiles that might predispose individuals to both PrCa and the autoimmune inflammatory condition, rheumatoid arthritis. These results could have potential public heath impact in terms of screening and chemoprevention. OBJECTIVES To investigate if potential common pathways exist for the pathogenesis of autoimmune disease and prostate cancer (PrCa). To ascertain if the single nucleotide polymorphisms (SNPs) reported by genome-wide association studies (GWAS) as being associated with susceptibility to PrCa are also associated with susceptibility to the autoimmune disease rheumatoid arthritis (RA). MATERIALS AND METHODS The original Wellcome Trust Case Control Consortium (WTCCC) UK RA GWAS study was expanded to include a total of 3221 cases and 5272 controls. In all, 37 germline autosomal SNPs at genome-wide significance associated with PrCa risk were identified from a UK/Australian PrCa GWAS. Allele frequencies were compared for these 37 SNPs between RA cases and controls using a chi-squared trend test and corrected for multiple testing (Bonferroni). RESULTS In all, 33 SNPs were able to be analysed in the RA dataset. Proxies could not be located for the SNPs in 3q26, 5p15 and for two SNPs in 17q12. After applying a Bonferroni correction for the number of SNPs tested, the SNP mapping to CCHCR1 (rs130067) retained statistically significant evidence for association (P = 6 × 10(-4) ; odds ratio [OR] = 1.15, 95% CI: 1.06-1.24); this has also been associated with psoriasis. However, further analyses showed that the association of this allele was due to confounding by RA-associated HLA-DRB1 alleles. CONCLUSIONS There is currently no evidence that SNPs associated with PrCa at genome-wide significance are associated with the development of RA. Studies like this are important in determining if common genetic risk profiles might predispose individuals to many diseases, which could have implications for public health in terms of screening and chemoprevention.
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Affiliation(s)
- Gisela Orozco
- Arthritis Research UK Epidemiology Unit, School of Translational Medicine, University of Manchester, Manchester, UK
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Muthuri SG, Doherty S, Zhang W, Maciewicz RA, Muir KR, Doherty M. Gene-environment interaction between body mass index and transforming growth factor beta 1 (TGFβ1) gene in knee and hip osteoarthritis. Arthritis Res Ther 2013; 15:R52. [PMID: 23597094 PMCID: PMC4060375 DOI: 10.1186/ar4214] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2012] [Accepted: 04/05/2013] [Indexed: 11/10/2022] Open
Abstract
Introduction The objective was to investigate potential gene-environment interaction between body mass index (BMI) and each of eight TGFβ1 polymorphisms in knee and hip osteoarthritis (OA). Methods We conducted a case-control study of Caucasian men and women aged 45 to 86 years from Nottingham, United Kingdom (Genetics of OA and Lifestyle (GOAL) study). Cases had clinically severe symptoms and radiographic knee or hip OA; controls had no symptoms and no radiographic knee/hip OA. We used logistic regression to investigate the association of TGFβ1 polymorphisms and OA when stratifying by BMI. Knee and hip OA were analyzed separately with adjustment for potential confounders. Additive and multiplicative interactions were examined. Results 2,048 cases (1,042 knee OA, 1,006 hip OA) and 967 controls were studied. For hip OA, the highest risk was in overweight (BMI ≥25 kg/m2) individuals with the variant allele of single-nucleotide polymorphism (SNP) rs1800468 (odds ratio (OR) 2.21, 95% confidence interval (CI) 1.55, 3.15). Evaluation of gene-environment interaction indicated significant synergetic interaction (relative excess risk due to interaction (RERI) = 0.93, synergy index (SI) = 4.33) with an attributable proportion due to interaction (AP) of 42% (AP = 0.42; 95% CI 0.16, 0.68). Multiplicative interaction was also significant (OR for interaction (ORINT) = 2.27, P = 0.015). For knee OA, the highest risk was in overweight individuals with homozygous genotype 11 of SNP rs2278422 (OR = 6.95, P <0.001). In contrast, the variant allele indicated slightly lower risks (OR = 4.72, P <0.001), a significant antagonistic interaction (RERI = -2.66, SI = 0.59), AP = -0.56 (95%CI -0.94, -0.17) and a significant multiplicative interaction (ORINT = 0.47, P = 0.013). Conclusion TGFβ1 gene polymorphisms interact with being overweight to influence the risk of large joint OA.
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Muir KR, Lophatananon A, Eeles R, Giles GG, Jarai ZK, Martin RM, Park J, Severi G, Standford J, Schumacher F, Brown SS, Travis R, Wiklund F, Easton D. Abstract 4836: Gene and environment interactions of height and selected candidate SNPs in prostate cancer: results from the PRACTICAL consortium. Cancer Res 2013. [DOI: 10.1158/1538-7445.am2013-4836] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Abstract
We analysed data from the PRACTICAL (PRostate cancer AssoCiation group To Investigate Cancer Associated aLterations in the genome) consortium on height and over 160 selected candidate SNP's predominantly in growth factor pathways. 12 case-control and nested case-control studies provided epidemiological data including information on height (5064 cases and 3074 controls). We present results here on the associations of height and the selected SNPs on prostate cancer risk and on their interaction.
The mean height was 176.3 cm in cases and 176.9 cm in controls. Results of meta-analysis of the association between height and prostate cancer risk indicated study homogeneity and thus data were pooled to obtain pooled odds ratios (ORs). Mean and standard deviation (sd) was used to define subjects as normal (mean ±sd), short (<mean- sd) and tall stature (>mean+sd). Analyses were adjusted for age and family history of prostate cancer in first degree relatives. Height was not significantly associated with risk in shorter and taller men compared to men with a normal height: OR of 1.08 (95%CI 0.91-1.29) and 0.98 (95% CI 0.84-1.15), respectively.
For the genotyping results, a log additive model was used to assess the associations between the SNPs and prostate cancer risk and the results showed that 3 SNPs (rs1509461, OR 1.09 (95%CI 1.01-1.17) in the GHR gene, rs2946834 OR 1.13 (95%CI 1.04-1.22) and rs1520220 OR 1.10 (95%CI 1.00 -1.22) in the IGF-1 gene) were significantly associated with prostate cancer after adjusting for age and family history of prostate cancer, all P-values <0.05.
For gene and environment interaction analyses, the synergy factor estimation and an empirical Bayes method were used. Only one SNPs showed a marginal negative interaction with height in tall statured men (rs1520220 in the IGF-1 gene) with a synergy factor of 0.76, 95% CI 0.59-0.99.
In summary, height did not show any significant association with prostate cancer risk. Three candidates SNP's showed modest increased risks. Overall there was little indication of an effect of height and/or its interaction with the candidate SNPs.
Citation Format: Kenneth R. Muir, Artitaya Lophatananon, Rosalind Eeles, Graham G. Giles, Zsofia Kote Jarai, Richard M. Martin, Jong Park, Gianluca Severi, Janet Standford, Fredrick Schumacher, Sarah Stewart Brown, Ruth Travis, Fredrik Wiklund, Douglas Easton, The PRACTICAL CONSORTIUM. Gene and environment interactions of height and selected candidate SNPs in prostate cancer: results from the PRACTICAL consortium. [abstract]. In: Proceedings of the 104th Annual Meeting of the American Association for Cancer Research; 2013 Apr 6-10; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2013;73(8 Suppl):Abstract nr 4836. doi:10.1158/1538-7445.AM2013-4836
Note: This abstract was not presented at the AACR Annual Meeting 2013 because the presenter was unable to attend.
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Affiliation(s)
- Kenneth R. Muir
- 1Univ. of Manchester Medical School, Manchester, United Kingdom
| | | | | | | | | | | | | | | | | | - Fredrick Schumacher
- 8University of Southern California/Norris Comprehensive Cancer Center, Los Angles, CA
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Abstract
Objective to compare the combined role of genetic variants loci associated with risk of knee or hip osteoarthritis (OA) in post-traumatic (PT) and non-traumatic (NT) cases of clinically severe OA leading to total joint replacement. Methods A total of 1590 controls, 2168 total knee replacement (TKR) cases (33.2% PT) and 1567 total hip replacement (THR) cases (8.7% PT) from 2 UK cohorts were genotyped for 12 variants previously reported to be reproducibly associated with risk of knee or hip OA. A genetic risk score was generated and the association with PT and NT TKR and THR was assessed adjusting for covariates. Results For THR, each additional genetic risk variant conferred lower risk among PT cases (OR=1.07, 95% CI 0.96 to 1.19; p=0.24) than NT cases (OR 1.11, 95% CI 1.06 to 1.17; p=1.55×10−5). In contrast, for TKR, each risk variant conferred slightly higher risk among PT cases (OR 1.12, 95% CI 1.07 to 1.19; p=1.82×10−5) than among NT cases (OR 1.08, 95% CI 1.03 to 1.1; p=0.00063). Conclusions Based on the variants reported to date PT TKR cases have at least as high a genetic contribution as NT cases.
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Affiliation(s)
- Ana M Valdes
- Academic Rheumatology, Nottingham City Hospital, Nottingham, UK.
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Amin Al Olama A, Kote-Jarai Z, Schumacher FR, Wiklund F, Berndt SI, Benlloch S, Giles GG, Severi G, Neal DE, Hamdy FC, Donovan JL, Hunter DJ, Henderson BE, Thun MJ, Gaziano M, Giovannucci EL, Siddiq A, Travis RC, Cox DG, Canzian F, Riboli E, Key TJ, Andriole G, Albanes D, Hayes RB, Schleutker J, Auvinen A, Tammela TL, Weischer M, Stanford JL, Ostrander EA, Cybulski C, Lubinski J, Thibodeau SN, Schaid DJ, Sorensen KD, Batra J, Clements JA, Chambers S, Aitken J, Gardiner RA, Maier C, Vogel W, Dörk T, Brenner H, Habuchi T, Ingles S, John EM, Dickinson JL, Cannon-Albright L, Teixeira MR, Kaneva R, Zhang HW, Lu YJ, Park JY, Cooney KA, Muir KR, Leongamornlert DA, Saunders E, Tymrakiewicz M, Mahmud N, Guy M, Govindasami K, O'Brien LT, Wilkinson RA, Hall AL, Sawyer EJ, Dadaev T, Morrison J, Dearnaley DP, Horwich A, Huddart RA, Khoo VS, Parker CC, Van As N, Woodhouse CJ, Thompson A, Dudderidge T, Ogden C, Cooper CS, Lophatonanon A, Southey MC, Hopper JL, English D, Virtamo J, Le Marchand L, Campa D, Kaaks R, Lindstrom S, Diver WR, Gapstur S, Yeager M, Cox A, Stern MC, Corral R, Aly M, Isaacs W, Adolfsson J, Xu J, Zheng SL, Wahlfors T, Taari K, Kujala P, Klarskov P, Nordestgaard BG, Røder MA, Frikke-Schmidt R, Bojesen SE, FitzGerald LM, Kolb S, Kwon EM, Karyadi DM, Orntoft TF, Borre M, Rinckleb A, Luedeke M, Herkommer K, Meyer A, Serth J, Marthick JR, Patterson B, Wokolorczyk D, Spurdle A, Lose F, McDonnell SK, Joshi AD, Shahabi A, Pinto P, Santos J, Ray A, Sellers TA, Lin HY, Stephenson RA, Teerlink C, Muller H, Rothenbacher D, Tsuchiya N, Narita S, Cao GW, Slavov C, Mitev V, Chanock S, Gronberg H, Haiman CA, Kraft P, Easton DF, Eeles RA. A meta-analysis of genome-wide association studies to identify prostate cancer susceptibility loci associated with aggressive and non-aggressive disease. Hum Mol Genet 2013; 22:408-15. [PMID: 23065704 PMCID: PMC3526158 DOI: 10.1093/hmg/dds425] [Citation(s) in RCA: 109] [Impact Index Per Article: 9.9] [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: 06/20/2012] [Accepted: 10/04/2012] [Indexed: 01/14/2023] Open
Abstract
Genome-wide association studies (GWAS) have identified multiple common genetic variants associated with an increased risk of prostate cancer (PrCa), but these explain less than one-third of the heritability. To identify further susceptibility alleles, we conducted a meta-analysis of four GWAS including 5953 cases of aggressive PrCa and 11 463 controls (men without PrCa). We computed association tests for approximately 2.6 million SNPs and followed up the most significant SNPs by genotyping 49 121 samples in 29 studies through the international PRACTICAL and BPC3 consortia. We not only confirmed the association of a PrCa susceptibility locus, rs11672691 on chromosome 19, but also showed an association with aggressive PrCa [odds ratio = 1.12 (95% confidence interval 1.03-1.21), P = 1.4 × 10(-8)]. This report describes a genetic variant which is associated with aggressive PrCa, which is a type of PrCa associated with a poorer prognosis.
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Affiliation(s)
- Ali Amin Al Olama
- Strangeways Laboratory, Centre for Cancer Genetic Epidemiology, Worts Causeway, Cambridge CB1 8RN, UK
| | - Zsofia Kote-Jarai
- The Institute of Cancer Research, 15 Cotswold Road, Sutton, Surrey SM2 5NG, UK
| | - Fredrick R. Schumacher
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California/Norris Comprehensive Cancer Centre, Los Angeles, CA, USA
| | - Fredrik Wiklund
- Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm SE-171 77, Sweden
| | - Sonja I. Berndt
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA
- Core Genotyping Facility, SAIC-Frederick, Inc., National Cancer Institute, NIH, Gaithersburg, MD, USA
| | - Sara Benlloch
- Strangeways Laboratory, Centre for Cancer Genetic Epidemiology, Worts Causeway, Cambridge CB1 8RN, UK
| | - Graham G. Giles
- Cancer Epidemiology Centre, Cancer Council Victoria, 1 Rathdowne Street, Carlton, VIC 3053, Australia
- Centre for Molecular, Environmental, Genetic and Analytic Epidemiology, The University of Melbourne, 723 Swanston Street, Carlton, VIC 3053, Australia
| | - Gianluca Severi
- Cancer Epidemiology Centre, Cancer Council Victoria, 1 Rathdowne Street, Carlton, VIC 3053, Australia
- Centre for Molecular, Environmental, Genetic and Analytic Epidemiology, The University of Melbourne, 723 Swanston Street, Carlton, VIC 3053, Australia
| | - David E. Neal
- Surgical Oncology (Uro-Oncology: S4), Addenbrooke's Hospital, University of Cambridge, Box 279, Hills Road, Cambridge, UK
- Li Ka Shing Centre, Cancer Research UK Cambridge Research Institute, Cambridge CB2 2QQ, UK
| | - Freddie C. Hamdy
- Nuffield Department of Surgery and
- Faculty of Medical Science, University of Oxford, John Radcliffe Hospital, Oxford OX3 9DU, UK
| | - Jenny L. Donovan
- School of Social and Community Medicine, University of Bristol, Canynge Hall, 39 Whatley Road, Bristol BS8 2PS, UK
| | - David J. Hunter
- Program in Molecular and Genetic Epidemiology, Department of Epidemiology and
| | - Brian E. Henderson
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California/Norris Comprehensive Cancer Centre, Los Angeles, CA, USA
| | - Michael J. Thun
- Epidemiology Research Program, American Cancer Society, Atlanta, GA 30303, USA
| | - Michael Gaziano
- Massachusetts Veterans Epidemiology and Research Information Center (MAVERIC) and Geriatric Research, Education, and Clinical Center (GRECC), Boston Veterans Affairs Healthcare System, Boston, MA 02114, USA
- Division of Aging, Department of Medicine, Brigham and Women's Hospital, Boston, MA 02215, USA
| | | | - Afshan Siddiq
- Department of Genomics of Common Disease, School of Public Health, Imperial College, London SW7 2AZ, UK
| | - Ruth C. Travis
- Cancer Epidemiology Unit, Nuffield Department of Clinical Medicine, University of Oxford, Oxford, UK
| | - David G. Cox
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, UK
- Lyon Cancer Research Center, INSERM U1052, Lyon, France
| | | | - Elio Riboli
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, UK
| | - Timothy J. Key
- Cancer Epidemiology Unit, Nuffield Department of Clinical Medicine, University of Oxford, Oxford, UK
| | - Gerald Andriole
- Division of Urologic Surgery, Washington University School of Medicine, St Louis, MO, USA
| | - Demetrius Albanes
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - Richard B. Hayes
- Division of Epidemiology, Department of Environmental Medicine, NYU Langone Medical Centre, NYU Cancer Institute, New York, NY 10016, USA
| | - Johanna Schleutker
- Institute of Biomedical Technology/BioMediTech, University of Tampere and
- Department of Medical Biochemistry and Genetics, University of Turku, Turku, Finland
| | - Anssi Auvinen
- Department of Epidemiology, School of Health Sciences and
| | - Teuvo L.J. Tammela
- Department of Urology, Tampere University Hospital and Medical School, University of Tampere, Tampere, Finland
| | | | - Janet L. Stanford
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Centre, Seattle, WA, USA
- Department of Epidemiology, School of Public Health, University of Washington, Seattle, WA, USA
| | - Elaine A. Ostrander
- National Human Genome Research Institute, National Institutes of Health, 50 South Drive, Room 5351, Bethesda, MD, USA
| | - Cezary Cybulski
- Department of Genetics and Pathology, International Hereditary Cancer Center, Pomeranian Medical University, Szczecin, Poland
| | - Jan Lubinski
- Department of Genetics and Pathology, International Hereditary Cancer Center, Pomeranian Medical University, Szczecin, Poland
| | | | | | | | - Jyotsna Batra
- Australian Prostate Cancer Research Centre-Qld, Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, QLD, Australia
| | - Judith A. Clements
- Australian Prostate Cancer Research Centre-Qld, Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, QLD, Australia
| | - Suzanne Chambers
- Griffith Health Institute, Griffith University, Gold Coast, QLD, Australia
- Viertel Centre for Research in Cancer Control, Cancer Council Queensland, Brisbane, QLD, Australia
- Centre for Clinical Research, University of Queensland, Brisbane, QLD, Australia
| | - Joanne Aitken
- Viertel Centre for Research in Cancer Control, Cancer Council Queensland, Brisbane, QLD, Australia
| | - Robert A. Gardiner
- Centre for Clinical Research, University of Queensland, Brisbane, QLD, Australia
| | - Christiane Maier
- Department of Urology and
- Institute of Human Genetics, University Hospital Ulm, Ulm, Germany
| | - Walther Vogel
- Institute of Human Genetics, University Hospital Ulm, Ulm, Germany
| | - Thilo Dörk
- Hannover Medical School, Hannover, Germany
| | | | - Tomonori Habuchi
- Department of Urology,Akita University Graduate School of Medicine, 1-1-1 Hondo, Akita 010-8543, Japan
| | - Sue Ingles
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California/Norris Comprehensive Cancer Centre, Los Angeles, CA, USA
| | - Esther M. John
- Cancer Prevention Institute of California, Fremont, CA, USA
- Division of Epidemiology, Department of Health Research and Policy and Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA, USA
| | - Joanne L. Dickinson
- Menzies Research Institute Tasmania, University of Tasmania, Hobart, TAS, Australia
| | - Lisa Cannon-Albright
- Division of Genetic Epidemiology, Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, UT, USA
- George E. Wahlen Department of Veterans Affairs Medical Centre, Salt Lake City, UT, USA
| | - Manuel R. Teixeira
- Department of Genetics, Portuguese Oncology Institute and Biomedical Sciences Institute (ICBAS), Porto University, Porto, Portugal
| | - Radka Kaneva
- Molecular Medicine Centre, Department of Medical Chemistry and Biochemistry, Medical University of Sofia, 2 Zdrave St, Sofia 1431, Bulgaria
| | - Hong-Wei Zhang
- Department of Epidemiology, Second Military Medical University, Shanghai, China
| | - Yong-Jie Lu
- Centre for Molecular Oncology and Imaging, Barts Cancer Institute, Queen Mary University of London, Charterhouse Square, London, UK
| | - Jong Y. Park
- Division of Cancer Prevention and Control, H. Lee Moffitt Cancer Centre, 12902 Magnolia Drive, Tampa, FL, USA
| | - Kathleen A. Cooney
- Department of Internal Medicine and
- Department of Urology, University of Michigan Medical School, Ann Arbor, MI, USA
| | | | | | - Edward Saunders
- The Institute of Cancer Research, 15 Cotswold Road, Sutton, Surrey SM2 5NG, UK
| | | | - Nadiya Mahmud
- The Institute of Cancer Research, 15 Cotswold Road, Sutton, Surrey SM2 5NG, UK
| | - Michelle Guy
- The Institute of Cancer Research, 15 Cotswold Road, Sutton, Surrey SM2 5NG, UK
| | - Koveela Govindasami
- The Institute of Cancer Research, 15 Cotswold Road, Sutton, Surrey SM2 5NG, UK
| | - Lynne T. O'Brien
- The Institute of Cancer Research, 15 Cotswold Road, Sutton, Surrey SM2 5NG, UK
| | | | - Amanda L. Hall
- The Institute of Cancer Research, 15 Cotswold Road, Sutton, Surrey SM2 5NG, UK
| | - Emma J. Sawyer
- The Institute of Cancer Research, 15 Cotswold Road, Sutton, Surrey SM2 5NG, UK
| | - Tokhir Dadaev
- The Institute of Cancer Research, 15 Cotswold Road, Sutton, Surrey SM2 5NG, UK
| | - Jonathan Morrison
- Strangeways Laboratory, Centre for Cancer Genetic Epidemiology, Worts Causeway, Cambridge CB1 8RN, UK
| | - David P. Dearnaley
- The Institute of Cancer Research, 15 Cotswold Road, Sutton, Surrey SM2 5NG, UK
- Royal Marsden NHS Foundation Trust, Fulham and Sutton, London and Surrey, UK
| | - Alan Horwich
- The Institute of Cancer Research, 15 Cotswold Road, Sutton, Surrey SM2 5NG, UK
- Royal Marsden NHS Foundation Trust, Fulham and Sutton, London and Surrey, UK
| | - Robert A. Huddart
- The Institute of Cancer Research, 15 Cotswold Road, Sutton, Surrey SM2 5NG, UK
- Royal Marsden NHS Foundation Trust, Fulham and Sutton, London and Surrey, UK
| | - Vincent S. Khoo
- The Institute of Cancer Research, 15 Cotswold Road, Sutton, Surrey SM2 5NG, UK
- Royal Marsden NHS Foundation Trust, Fulham and Sutton, London and Surrey, UK
| | - Christopher C. Parker
- The Institute of Cancer Research, 15 Cotswold Road, Sutton, Surrey SM2 5NG, UK
- Royal Marsden NHS Foundation Trust, Fulham and Sutton, London and Surrey, UK
| | - Nicholas Van As
- Royal Marsden NHS Foundation Trust, Fulham and Sutton, London and Surrey, UK
| | | | - Alan Thompson
- Royal Marsden NHS Foundation Trust, Fulham and Sutton, London and Surrey, UK
| | - Tim Dudderidge
- Royal Marsden NHS Foundation Trust, Fulham and Sutton, London and Surrey, UK
| | - Chris Ogden
- Royal Marsden NHS Foundation Trust, Fulham and Sutton, London and Surrey, UK
| | - Colin S. Cooper
- The Institute of Cancer Research, 15 Cotswold Road, Sutton, Surrey SM2 5NG, UK
| | | | - Melissa C. Southey
- Genetic Epidemiology Laboratory, Department of Pathology, The University of Melbourne, Grattan street, Parkville, VIC, Australia
| | - John L. Hopper
- Cancer Epidemiology Centre, Cancer Council Victoria, 1 Rathdowne Street, Carlton, VIC, Australia
| | - Dallas English
- Cancer Epidemiology Centre, Cancer Council Victoria, 1 Rathdowne Street, Carlton, VIC, Australia
- Centre for Molecular, Environmental, Genetic and Analytic Epidemiology, The University of Melbourne, 723 Swanston Street, Carlton, VIC, Australia
| | - Jarmo Virtamo
- Department of Chronic Disease Prevention, National Institute for Health and Welfare, Helsinki, Finland
| | - Loic Le Marchand
- Epidemiology Program, University of Hawaii Cancer Centre, Department of Medicine, John A. Burns School of Medicine, University of Hawaii, Honolulu, HI, USA
| | - Daniele Campa
- Lyon Cancer Research Center, INSERM U1052, Lyon, France
| | - Rudolf Kaaks
- Division of Cancer Epidemiology, German Cancer Research Centre (DKFZ), Heidelberg, Germany
| | - Sara Lindstrom
- Program in Molecular and Genetic Epidemiology, Department of Epidemiology and
| | - W. Ryan Diver
- Epidemiology Research Program, American Cancer Society, Atlanta, GA 30303, USA
| | - Susan Gapstur
- Epidemiology Research Program, American Cancer Society, Atlanta, GA 30303, USA
| | - Meredith Yeager
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA
- Core Genotyping Facility, SAIC-Frederick, Inc., National Cancer Institute, NIH, Gaithersburg, MD, USA
| | - Angela Cox
- Department of Oncology, University of Sheffield, Sheffield, UK
| | - Mariana C. Stern
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California/Norris Comprehensive Cancer Centre, Los Angeles, CA, USA
| | - Roman Corral
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California/Norris Comprehensive Cancer Centre, Los Angeles, CA, USA
| | - Markus Aly
- Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm SE-171 77, Sweden
- Division of Urology, Department of Clinical Sciences, Danderyd Hospital and
| | - William Isaacs
- School of Medicine, Johns Hopkins University, 115 Marburg Building, 600 North Wolfe Street, Baltimore, MD 21205, USA
| | - Jan Adolfsson
- Oncological Centre, CLINTEC, Karolinska Institute, Stockholm, Sweden
| | - Jianfeng Xu
- Center for Cancer Genomics, Wake Forest University School of Medicine, Medical Center Boulevard, Winston-Salem, NC 27157, USA
| | - S. Lilly Zheng
- Center for Cancer Genomics, Wake Forest University School of Medicine, Medical Center Boulevard, Winston-Salem, NC 27157, USA
| | - Tiina Wahlfors
- Department of Urology, Tampere University Hospital and Medical School, University of Tampere, Tampere, Finland
| | - Kimmo Taari
- Department of Urology, Helsinki University Central Hospital, University of Helsinki, Helsinki, Finland
| | - Paula Kujala
- Department of Pathology, Centre for Laboratory Medicine, Tampere University Hospital, Tampere, Finland
| | - Peter Klarskov
- Department of Urology, Herlev Hospital, Copenhagen University Hospital, Herlev Ringvej 75, Herlev DK-2730, Denmark
| | | | | | - Ruth Frikke-Schmidt
- Department of Clinical Biochemistry, Rigshospitalet, Copenhagen University Hospital, Blegdamsvej 9, Copenhagen DK-2100, Denmark
| | | | - Liesel M. FitzGerald
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Centre, Seattle, WA, USA
| | - Suzanne Kolb
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Centre, Seattle, WA, USA
| | - Erika M. Kwon
- National Human Genome Research Institute, National Institutes of Health, 50 South Drive, Room 5351, Bethesda, MD, USA
| | - Danielle M. Karyadi
- National Human Genome Research Institute, National Institutes of Health, 50 South Drive, Room 5351, Bethesda, MD, USA
| | | | - Michael Borre
- Department of Urology, Aarhus University Hospital, Skejby, Denmark
| | | | - Manuel Luedeke
- Institute of Human Genetics, University Hospital Ulm, Ulm, Germany
| | - Kathleen Herkommer
- Department of Urology, Rechts der Isar Medical Centre, Technical University of Munich, Munich, Germany
| | | | | | - James R. Marthick
- Menzies Research Institute Tasmania, University of Tasmania, Hobart, TAS, Australia
| | - Briony Patterson
- Menzies Research Institute Tasmania, University of Tasmania, Hobart, TAS, Australia
| | - Dominika Wokolorczyk
- Department of Genetics and Pathology, International Hereditary Cancer Center, Pomeranian Medical University, Szczecin, Poland
| | | | - Felicity Lose
- Molecular Cancer Epidemiology Laboratory, Queensland Institute of Medical Research, Brisbane, QLD, Australia
| | | | - Amit D. Joshi
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California/Norris Comprehensive Cancer Centre, Los Angeles, CA, USA
| | - Ahva Shahabi
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California/Norris Comprehensive Cancer Centre, Los Angeles, CA, USA
| | - Pedro Pinto
- Department of Genetics, Portuguese Oncology Institute and Biomedical Sciences Institute (ICBAS), Porto University, Porto, Portugal
| | - Joana Santos
- Department of Genetics, Portuguese Oncology Institute and Biomedical Sciences Institute (ICBAS), Porto University, Porto, Portugal
| | - Ana Ray
- Department of Internal Medicine and
- Department of Urology, University of Michigan Medical School, Ann Arbor, MI, USA
| | - Thomas A. Sellers
- Division of Cancer Prevention and Control, H. Lee Moffitt Cancer Centre, 12902 Magnolia Drive, Tampa, FL, USA
| | - Hui-Yi Lin
- Division of Cancer Prevention and Control, H. Lee Moffitt Cancer Centre, 12902 Magnolia Drive, Tampa, FL, USA
| | | | - Craig Teerlink
- Division of Genetic Epidemiology, Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, UT, USA
| | - Heiko Muller
- Division of Clinical Epidemiology and Aging Research and
| | | | - Norihiko Tsuchiya
- Department of Urology,Akita University Graduate School of Medicine, 1-1-1 Hondo, Akita 010-8543, Japan
| | - Shintaro Narita
- Department of Urology,Akita University Graduate School of Medicine, 1-1-1 Hondo, Akita 010-8543, Japan
| | - Guang-Wen Cao
- Department of Epidemiology, Second Military Medical University, Shanghai, China
| | - Chavdar Slavov
- Department of Urology and Alexandrovska University Hospital,Medical University of Sofia, Sofia, Bulgaria
| | - Vanio Mitev
- Molecular Medicine Centre, Department of Medical Chemistry and Biochemistry, Medical University of Sofia, 2 Zdrave St, Sofia 1431, Bulgaria
| | | | | | | | | | - Stephen Chanock
- Core Genotyping Facility, SAIC-Frederick, Inc., National Cancer Institute, NIH, Gaithersburg, MD, USA
| | - Henrik Gronberg
- Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm SE-171 77, Sweden
| | - Christopher A. Haiman
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California/Norris Comprehensive Cancer Centre, Los Angeles, CA, USA
| | - Peter Kraft
- Program in Molecular and Genetic Epidemiology, Department of Epidemiology and
| | - Douglas F. Easton
- Strangeways Laboratory, Centre for Cancer Genetic Epidemiology, Worts Causeway, Cambridge CB1 8RN, UK
| | - Rosalind A. Eeles
- The Institute of Cancer Research, 15 Cotswold Road, Sutton, Surrey SM2 5NG, UK
- Royal Marsden NHS Foundation Trust, Fulham and Sutton, London and Surrey, UK
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Valdes AM, Doherty S, Muir KR, Zhang W, Maciewicz RA, Wheeler M, Arden N, Cooper C, Doherty M. Genetic contribution to radiographic severity in osteoarthritis of the knee. Ann Rheum Dis 2012; 71:1537-40. [PMID: 22615457 PMCID: PMC3414227 DOI: 10.1136/annrheumdis-2012-201382] [Citation(s) in RCA: 16] [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] [Accepted: 04/19/2012] [Indexed: 01/12/2023]
Abstract
OBJECTIVE Knee osteoarthritis (OA) has a significant genetic component. The authors have assessed the role of three variants reported to influence risk of knee OA with p<5×10-8 in determining patellofemoral and tibiofemoral Kellgren Lawrence (K/L) grade in knee OA cases. METHODS 3474 knee OA cases with sky-line and weight-bearing antero-posterior x-rays of the knee were selected based on the presentation of K/L grade ≥2 at either the tibiofemoral or patellofemoral compartments for one or both knees. Patients belonging to three UK cohorts, were genotyped for rs143383, rs4730250 and rs11842874 mapping to the GDF5, COG5 and MCF2L genes, respectively. The association between tibiofemoral K/L grade and patellofemoral K/L grade was assessed after adjusting for age, gender and body mass index. RESULTS No significant association was found between the rs4730250 and radiographic severity. The rs11842874 mapping to MCF2L was found to be nominally significantly associated with patellofemoral K/L grade as a quantitative trait (p=0.027) but not as a binary trait. The GDF5 single nucleotide polymorphism rs143383 was associated with tibiofemoral K/L grade (β=0.05 (95% CI 0.02 to 0.08) p=0.0011). CONCLUSIONS Our data indicate that within individuals affected by radiographic knee OA, OAGDF5 has a modest but significant effect on radiographic severity after adjustment for the major risk factors.
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Affiliation(s)
- Ana M Valdes
- Correspondence to Dr Ana M Valdes, Kings College London, Twin Research Unit, St Thomas Hospital, Lambeth Palace Rd, London SE1 7EH, UK.
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Hein R, Maranian M, Hopper JL, Kapuscinski MK, Southey MC, Park DJ, Schmidt MK, Broeks A, Hogervorst FBL, Bueno-de-Mesquit HB, Muir KR, Lophatananon A, Rattanamongkongul S, Puttawibul P, Fasching PA, Hein A, Ekici AB, Beckmann MW, Fletcher O, Johnson N, dos Santos Silva I, Peto J, Sawyer E, Tomlinson I, Kerin M, Miller N, Marmee F, Schneeweiss A, Sohn C, Burwinkel B, Guénel P, Cordina-Duverger E, Menegaux F, Truong T, Bojesen SE, Nordestgaard BG, Flyger H, Milne RL, Perez JIA, Zamora MP, Benítez J, Anton-Culver H, Ziogas A, Bernstein L, Clarke CA, Brenner H, Müller H, Arndt V, Stegmaier C, Rahman N, Seal S, Turnbull C, Renwick A, Meindl A, Schott S, Bartram CR, Schmutzler RK, Brauch H, Hamann U, Ko YD, Wang-Gohrke S, Dörk T, Schürmann P, Karstens JH, Hillemanns P, Nevanlinna H, Heikkinen T, Aittomäki K, Blomqvist C, Bogdanova NV, Zalutsky IV, Antonenkova NN, Bermisheva M, Prokovieva D, Farahtdinova A, Khusnutdinova E, Lindblom A, Margolin S, Mannermaa A, Kataja V, Kosma VM, Hartikainen J, Chen X, Beesley J, Investigators KC, Lambrechts D, Zhao H, Neven P, Wildiers H, Nickels S, Flesch-Janys D, Radice P, Peterlongo P, Manoukian S, Barile M, Couch FJ, Olson JE, Wang X, Fredericksen Z, Giles GG, Baglietto L, McLean CA, Severi G, Offit K, Robson M, Gaudet MM, Vijai J, Alnæs GG, Kristensen V, Børresen-Dale AL, John EM, Miron A, Winqvist R, Pylkäs K, Jukkola-Vuorinen A, Grip M, Andrulis IL, Knight JA, Glendon G, Mulligan AM, Figueroa JD, García-Closas M, Lissowska J, Sherman ME, Hooning M, Martens JWM, Seynaeve C, Collée M, Hall P, Humpreys K, Czene K, Liu J, Cox A, Brock IW, Cross SS, Reed MWR, Ahmed S, Ghoussaini M, Pharoah PDP, Kang D, Yoo KY, Noh DY, Jakubowska A, Jaworska K, Durda K, Złowocka E, Sangrajrang S, Gaborieau V, Brennan P, McKay J, Shen CY, Yu JC, Hsu HM, Hou MF, Orr N, Schoemaker M, Ashworth A, Swerdlow A, Trentham-Dietz A, Newcomb PA, Titus L, Egan KM, Chenevix-Trench G, Antoniou AC, Humphreys MK, Morrison J, Chang-Claude J, Easton DF, Dunning AM. Comparison of 6q25 breast cancer hits from Asian and European Genome Wide Association Studies in the Breast Cancer Association Consortium (BCAC). PLoS One 2012; 7:e42380. [PMID: 22879957 PMCID: PMC3413660 DOI: 10.1371/journal.pone.0042380] [Citation(s) in RCA: 50] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2012] [Accepted: 07/04/2012] [Indexed: 11/18/2022] Open
Abstract
The 6q25.1 locus was first identified via a genome-wide association study (GWAS) in Chinese women and marked by single nucleotide polymorphism (SNP) rs2046210, approximately 180 Kb upstream of ESR1. There have been conflicting reports about the association of this locus with breast cancer in Europeans, and a GWAS in Europeans identified a different SNP, tagged here by rs12662670. We examined the associations of both SNPs in up to 61,689 cases and 58,822 controls from forty-four studies collaborating in the Breast Cancer Association Consortium, of which four studies were of Asian and 39 of European descent. Logistic regression was used to estimate odds ratios (OR) and 95% confidence intervals (CI). Case-only analyses were used to compare SNP effects in Estrogen Receptor positive (ER+) versus negative (ER-) tumours. Models including both SNPs were fitted to investigate whether the SNP effects were independent. Both SNPs are significantly associated with breast cancer risk in both ethnic groups. Per-allele ORs are higher in Asian than in European studies [rs2046210: OR (A/G) = 1.36 (95% CI 1.26-1.48), p = 7.6 × 10(-14) in Asians and 1.09 (95% CI 1.07-1.11), p = 6.8 × 10(-18) in Europeans. rs12662670: OR (G/T) = 1.29 (95% CI 1.19-1.41), p = 1.2 × 10(-9) in Asians and 1.12 (95% CI 1.08-1.17), p = 3.8 × 10(-9) in Europeans]. SNP rs2046210 is associated with a significantly greater risk of ER- than ER+ tumours in Europeans [OR (ER-) = 1.20 (95% CI 1.15-1.25), p = 1.8 × 10(-17) versus OR (ER+) = 1.07 (95% CI 1.04-1.1), p = 1.3 × 10(-7), p(heterogeneity) = 5.1 × 10(-6)]. In these Asian studies, by contrast, there is no clear evidence of a differential association by tumour receptor status. Each SNP is associated with risk after adjustment for the other SNP. These results suggest the presence of two variants at 6q25.1 each independently associated with breast cancer risk in Asians and in Europeans. Of these two, the one tagged by rs2046210 is associated with a greater risk of ER- tumours.
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Affiliation(s)
- Rebecca Hein
- Unit of Genetic Epidemiology, Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
- PMV (Primärmedizinische Versorgung) Research Group at the Department of Child and Adolescent Psychiatry and Psychotherapy, University of Cologne, Cologne, Germany
| | - Melanie Maranian
- Department of Oncology, University of Cambridge, Cambridge, United Kingdom
| | - John L. Hopper
- Centre for Molecular, Environmental, Genetic and Analytic Epidemiology, The University of Melbourne, Melbourne, Australia
| | - Miroslaw K. Kapuscinski
- Centre for Molecular, Environmental, Genetic and Analytic Epidemiology, The University of Melbourne, Melbourne, Australia
| | - Melissa C. Southey
- Department of Pathology, The University of Melbourne, Melbourne, Australia
| | - Daniel J. Park
- Genetic Epidemiology Laboratory, Department of Pathology, The University of Melbourne, Melbourne, Australia
| | - Marjanka K. Schmidt
- Netherlands Cancer Institute, Antoni van Leeuwenhoek hospital, Amsterdam, The Netherlands
| | - Annegien Broeks
- Netherlands Cancer Institute, Antoni van Leeuwenhoek hospital, Amsterdam, The Netherlands
| | - Frans B. L. Hogervorst
- Family Cancer Clinic, Netherlands Cancer Institute, Antoni van Leeuwenhoek Hospital, Amsterdam, The Netherlands
| | | | - Kenneth R. Muir
- Health Sciences Research Institute, Warwick Medical School, Warwick University, Coventry, Warwick, United Kingdom
| | - Artitaya Lophatananon
- Health Sciences Research Institute, Warwick Medical School, Warwick University, Coventry, Warwick, United Kingdom
| | - Suthee Rattanamongkongul
- Department of Preventive Medicine, Srinakhrainwirot University, Ongkharak, Nakhon Nayok, Thailand
| | - Puttisak Puttawibul
- Department of Surgery, Medical School, Prince Songkla University, Songkla, Thailand
| | - Peter A. Fasching
- University Breast Center, Department of Gynecology and Obstetrics, University Hospital Erlangen, Erlangen, Germany
- David Geffen School of Medicine, Department of Medicine Division of Hematology and Oncology, University of California at Los Angeles, Los Angeles, California, United States of America
| | - Alexander Hein
- University Breast Center, Department of Gynecology and Obstetrics, University Hospital Erlangen, Erlangen, Germany
| | - Arif B. Ekici
- Institute of Human Genetics, Friedrich Alexander University Erlangen-Nuremberg, Erlangen, Germany
| | - Matthias W. Beckmann
- University Breast Center, Department of Gynecology and Obstetrics, University Hospital Erlangen, Erlangen, Germany
| | - Olivia Fletcher
- Breakthrough Breast Cancer Research Centre, The Institute of Cancer Research, London, United Kingdom
| | - Nichola Johnson
- Breakthrough Breast Cancer Research Centre, The Institute of Cancer Research, London, United Kingdom
| | - Isabel dos Santos Silva
- Department of Non-Communicable Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, United Kingdom
| | - Julian Peto
- Department of Non-Communicable Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, United Kingdom
| | - Elinor Sawyer
- Division of Cancer Studies, National Institute for Health Research Comprehensive Biomedical Research Centre, Guy’s & St. Thomas’ National Health Service Foundation Trust in partnership with King’s College London, London, United Kingdom
| | - Ian Tomlinson
- Welcome Trust Centre for Human Genetics and Oxford Biomedical Research Centre, University of Oxford, Oxford, United Kingdom
- Oxford National Institute for Health Research Comprehensive Biomedical Research Centre, Oxford, United Kingdom
| | - Michael Kerin
- Clinical Science Institute. University Hospital Galway, Galway, Ireland
| | - Nicola Miller
- Department of Obstetrics and Gynecology, University of Heidelberg, Heidelberg, Germany
| | - Frederick Marmee
- Department of Obstetrics and Gynecology, University of Heidelberg, Heidelberg, Germany
- National Center for Tumor Diseases, University of Heidelberg, Heidelberg, Germany
| | - Andreas Schneeweiss
- Department of Obstetrics and Gynecology, University of Heidelberg, Heidelberg, Germany
- National Center for Tumor Diseases, University of Heidelberg, Heidelberg, Germany
| | - Christof Sohn
- Department of Obstetrics and Gynecology, University of Heidelberg, Heidelberg, Germany
| | - Barbara Burwinkel
- Department of Obstetrics and Gynecology, University of Heidelberg, Heidelberg, Germany
- Molecular Epidemiology Group, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Pascal Guénel
- Environmental Epidemiology of Cancer, U1018, CESP (Center for Research in Epidemiology and Population Health), Inserm (National Institute of Health and Medical Research), Villejuif, France
- Unité mixte de recherche 1018, University Paris-Sud, Villejuif, France
| | - Emilie Cordina-Duverger
- Environmental Epidemiology of Cancer, U1018, CESP (Center for Research in Epidemiology and Population Health), Inserm (National Institute of Health and Medical Research), Villejuif, France
- Unité mixte de recherche 1018, University Paris-Sud, Villejuif, France
| | - Florence Menegaux
- Environmental Epidemiology of Cancer, U1018, CESP (Center for Research in Epidemiology and Population Health), Inserm (National Institute of Health and Medical Research), Villejuif, France
- Unité mixte de recherche 1018, University Paris-Sud, Villejuif, France
| | - Thérèse Truong
- Environmental Epidemiology of Cancer, U1018, CESP (Center for Research in Epidemiology and Population Health), Inserm (National Institute of Health and Medical Research), Villejuif, France
- Unité mixte de recherche 1018, University Paris-Sud, Villejuif, France
| | - Stig E. Bojesen
- Copenhagen General Population Study and Department of Clinical Biochemistry, Herlev University Hospital, University of Copenhagen, Copenhagen, Denmark
| | - Børge G. Nordestgaard
- Copenhagen General Population Study and Department of Clinical Biochemistry, Herlev University Hospital, University of Copenhagen, Copenhagen, Denmark
| | - Henrik Flyger
- Department of Breast Surgery, Herlev University Hospital, University of Copenhagen, Copenhagen, Denmark
| | - Roger L. Milne
- Genetic & Molecular Epidemiology Group, Spanish National Cancer Research Centre (CNIO), Madrid, Spain
| | | | - M. Pilar Zamora
- Servicio de Oncología Médica, Hospital Universitario La Paz, Madrid, Spain
| | - Javier Benítez
- Cancer Genetics Group, Spanish National Cancer Research Centre (CNIO), Madrid, Spain
| | - Hoda Anton-Culver
- Department of Epidemiology, University of California Irvine, Irvine, California, United States of America
| | - Argyrios Ziogas
- Department of Epidemiology, University of California Irvine, Irvine, California, United States of America
| | - Leslie Bernstein
- Department of Population Sciences, City of Hope, Duarte, California, United States of America
| | - Christina A. Clarke
- Cancer Prevention Institute of California, Fremont, California, United States of America
| | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center, Heidelberg, Germany
| | - Heiko Müller
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center, Heidelberg, Germany
| | - Volker Arndt
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center, Heidelberg, Germany
| | | | - Nazneen Rahman
- Section of Cancer Genetics, Institute of Cancer Research, Sutton, Surrey, United Kingdom
| | - Sheila Seal
- Section of Cancer Genetics, Institute of Cancer Research, Sutton, Surrey, United Kingdom
| | - Clare Turnbull
- Section of Cancer Genetics, Institute of Cancer Research, Sutton, Surrey, United Kingdom
| | - Anthony Renwick
- Section of Cancer Genetics, Institute of Cancer Research, Sutton, Surrey, United Kingdom
| | - Alfons Meindl
- Division of Gynecology and Obstetrics, Klinikum rechts der Isar at the Technical University Munich, Munich, Germany
| | - Sarah Schott
- Department of Obstetrics and Gynecology, University of Heidelberg, Heidelberg, Germany
| | - Claus R. Bartram
- Institute of Human Genetics, University of Heidelberg, Heidelberg, Germany
| | - Rita K. Schmutzler
- Center for Familial Breast and Ovarian Cancer and Center of Integrated Oncology (CIO), University Hospital, Cologne, Germany
| | - Hiltrud Brauch
- Dr. Margarete Fischer-Bosch-Institute of Clinical Pharmacology, Stuttgart, University of Tübingen, Tübingen, Germany
| | - Ute Hamann
- Molecular Genetics of Breast Cancer, Deutsches Krebsforschungszentrum (DKFZ), Heidelberg, Germany
| | - Yon-Dschun Ko
- Department of Internal Medicine, Evangelische Kliniken Bonn gGmbH, Johanniter Krankenhaus, Bonn, Germany
| | - The GENICA Network
- Dr. Margarete Fischer-Bosch-Institute of Clinical Pharmacology, Stuttgart, University of Tübingen, Tübingen, Germany
- Molecular Genetics of Breast Cancer, Deutsches Krebsforschungszentrum (DKFZ), Heidelberg, Germany
- Department of Internal Medicine, Evangelische Kliniken Bonn gGmbH, Johanniter Krankenhaus, Bonn, Germany
- Institute of Pathology, University of Bonn, Bonn, Germany
- Institute for Prevention and Occupational Medicine of the German Social Accident Insurance (IPA), Bochum, Germany
| | - Shan Wang-Gohrke
- Department of Obstetrics and Gynecology, University of Ulm, Ulm, Germany
| | - Thilo Dörk
- Clinics of Obstetrics and Gynaecology, Hannover Medical School, Hannover, Germany
| | - Peter Schürmann
- Clinics of Obstetrics and Gynaecology, Hannover Medical School, Hannover, Germany
| | - Johann H. Karstens
- Clinics of Radiation Oncology, Hannover Medical School, Hannover, Germany
| | - Peter Hillemanns
- Clinics of Obstetrics and Gynaecology, Hannover Medical School, Hannover, Germany
| | - Heli Nevanlinna
- Department of Obstetrics and Gynecology, University of Helsinki and Helsinki University Central Hospital, Helsinki, Finland
| | - Tuomas Heikkinen
- Department of Obstetrics and Gynecology, University of Helsinki and Helsinki University Central Hospital, Helsinki, Finland
| | - Kristiina Aittomäki
- Department of Clinical Genetics, Helsinki University Central Hospital, Helsinki, Finland
| | - Carl Blomqvist
- Department of Oncology, Helsinki University Central Hospital, Helsinki, Finland
| | - Natalia V. Bogdanova
- Clinics of Obstetrics and Gynaecology, Hannover Medical School, Hannover, Germany, Clinics of Radiation Oncology, Hannover Medical School, Hannover, Germany
| | - Iosif V. Zalutsky
- N.N. Alexandrov Research Institute of Oncology and Medical Radiology, Minsk, Belarus
| | | | - Marina Bermisheva
- Institute of Biochemistry and Genetics, Ufa Scientific Center of Russian Academy of Sciences, Ufa, Russia
| | - Darya Prokovieva
- Institute of Biochemistry and Genetics, Ufa Scientific Center of Russian Academy of Sciences, Ufa, Russia
| | - Albina Farahtdinova
- Institute of Biochemistry and Genetics, Ufa Scientific Center of Russian Academy of Sciences, Ufa, Russia
| | - Elza Khusnutdinova
- Institute of Biochemistry and Genetics, Ufa Scientific Center of Russian Academy of Sciences, Ufa, Russia
| | - Annika Lindblom
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
| | - Sara Margolin
- Department of Oncology Pathology, Karolinska Institutet, Stockholm, Sweden
| | - Arto Mannermaa
- Clinics of Radiation Oncology, Hannover Medical School, Hannover, Germany
- Department of Oncology Pathology, Karolinska Institutet, Stockholm, Sweden
- Biocenter Kuopio, Kuopio University Hospital, Kuopio, Finland
- Department of Clinical Pathology, Kuopio University Hospital, Kuopio, Finland
| | - Vesa Kataja
- Biocenter Kuopio, Kuopio University Hospital, Kuopio, Finland
- School of Medicine, Institute of Clinical Medicine, Oncology, University of Eastern Finland, Kuopio, Finland
- Department of Oncology, Kuopio University Hospital, Kuopio, Finland
| | - Veli-Matti Kosma
- School of Medicine, Institute of Clinical Medicine, Pathology and Forensic Medicine, University of Eastern Finland, Kuopio, Finland
- Biocenter Kuopio, Kuopio University Hospital, Kuopio, Finland
- Department of Clinical Pathology, Kuopio University Hospital, Kuopio, Finland
| | - Jaana Hartikainen
- School of Medicine, Institute of Clinical Medicine, Pathology and Forensic Medicine, University of Eastern Finland, Kuopio, Finland
- Biocenter Kuopio, Kuopio University Hospital, Kuopio, Finland
- Department of Clinical Pathology, Kuopio University Hospital, Kuopio, Finland
| | - Xiaoqing Chen
- Cancer Division, Queensland Institute of Medical Research, Brisbane, Australia
| | - Jonathan Beesley
- Cancer Division, Queensland Institute of Medical Research, Brisbane, Australia
| | - kConFab Investigators
- Kathleen Cuningham Foundation Consortium for Research into Familial Breast Cancer [kConFab], Peter MacCallum Cancer Center, Melbourne, Australia
| | - AOCS Group
- Australian Ovarian Cancer Study [AOCS], Peter MacCallum Cancer Center, Melbourne, Australia
| | - Diether Lambrechts
- Vesalius Research Center (VRC), Vesalius Research Center, Leuven, Belgium; Vesalius Research Center (VRC), Katholieke Universiteit (KU) Leuven, Leuven, Belgium
| | - Hui Zhao
- Vesalius Research Center (VRC), Vesalius Research Center, Leuven, Belgium; Vesalius Research Center (VRC), Katholieke Universiteit (KU) Leuven, Leuven, Belgium
| | - Patrick Neven
- Multidisciplinary Breast Center, University Hospital Gasthuisberg, Leuven, Belgium
| | - Hans Wildiers
- Multidisciplinary Breast Center, University Hospital Gasthuisberg, Leuven, Belgium
| | - Stefan Nickels
- Unit of Genetic Epidemiology, Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Dieter Flesch-Janys
- Department of Cancer Epidemiology/Clinical Cancer Registry and Institute for Medical Biometrics and Epidemiology, University Clinic Hamburg-Eppendorf, Hamburg, Germany
| | - Paolo Radice
- Unit of Molecular Bases of Genetic Risk and Genetic Testing, Department of Preventive and Predictive Medicine, Fondazione IRCCS Istituto Nazionale Tumori (INT), Milan, Italy
- Fondazione Istituto FIRC (Fondazione Italiana per la Ricerca sul Cancro) Di Oncologia Molecolare (IFOM), Milan, Italy
| | - Paolo Peterlongo
- Unit of Molecular Bases of Genetic Risk and Genetic Testing, Department of Preventive and Predictive Medicine, Fondazione IRCCS Istituto Nazionale Tumori (INT), Milan, Italy
- Fondazione Istituto FIRC (Fondazione Italiana per la Ricerca sul Cancro) Di Oncologia Molecolare (IFOM), Milan, Italy
| | - Siranoush Manoukian
- Unit of Medical Genetics, Department of Preventive and Predictive Medicine, Fondazione Instituto di Recuvero e Cura a Carattere Scientifico (IRCCS) Istituto Nazionale Tumori (INT), Milan, Italy
| | - Monica Barile
- Division of Cancer Prevention and Genetics, Istituto Europeo di Oncologia (IEO), Milan, Italy
| | - Fergus J. Couch
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota, United States of America
| | - Janet E. Olson
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota, United States of America
| | - Xianshu Wang
- Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, United States of America
| | - Zachary Fredericksen
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota, United States of America
| | - Graham G. Giles
- Cancer Epidemiology Centre, Cancer Council Victoria, Melbourne, Australia
- Centre for Molecular, Environmental, Genetic, and Analytic Epidemiology, The University of Melbourne, Melbourne, Australia
| | - Laura Baglietto
- Cancer Epidemiology Centre, Cancer Council Victoria, Melbourne, Australia
- Centre for Molecular, Environmental, Genetic, and Analytic Epidemiology, The University of Melbourne, Melbourne, Australia
| | - Catriona A. McLean
- Department of Anatomical Pathology, The Alfred Hospital, Melbourne, Australia
| | - Gianluca Severi
- Cancer Epidemiology Centre, Cancer Council Victoria, Melbourne, Australia
- Centre for Molecular, Environmental, Genetic, and Analytic Epidemiology, The University of Melbourne, Melbourne, Australia
| | - Kenneth Offit
- Clinical Genetics Service, Dept. of Medicine and Cancer Biology and Genetics, Memorial Sloan-Kettering Cancer Center, New York, New York, United States of America
| | - Mark Robson
- Clinical Genetics Service, Dept. of Medicine, Memorial Sloan-Kettering Cancer Center, New York, New York, United States of America
| | - Mia M. Gaudet
- Epidemiology Research Program, American Cancer Society, Atlanta, Georgia, United States of America
| | - Joseph Vijai
- Clinical Genetics Service, Dept. of Medicine and Cancer Biology and Genetics, Memorial Sloan-Kettering Cancer Center, New York, New York, United States of America
| | - Grethe Grenaker Alnæs
- Department of Genetics, Institute for Cancer Research, Oslo University Hospital, Radiumhospitalet, Oslo, Norway
| | - Vessela Kristensen
- Department of Genetics, Institute for Cancer Research, Oslo University Hospital, Radiumhospitalet, Oslo, Norway
- Faculty of Medicine (Faculty Division Ahus), University of Oslo, Oslo, Norway
| | - Anne-Lise Børresen-Dale
- Department of Genetics, Institute for Cancer Research, Oslo University Hospital, Radiumhospitalet, Oslo, Norway
- Faculty of Medicine (Faculty Division Ahus), University of Oslo, Oslo, Norway
| | - Esther M. John
- Department of Epidemiology, Cancer Prevention Institute of California, Fremont, California, United States of America
- Stanford University School of Medicine, Stanford, California, United States of America
| | - Alexander Miron
- Deptartment of Cancer Biology, Dana-Farber Cancer Institute, Boston, Massachusetts, United States of America
| | - Robert Winqvist
- Laboratory of Cancer Genetics, Department of Clinical Genetics and Biocenter Oulu, University of Oulu, Oulu University Hospital, Oulu, Finland
| | - Katri Pylkäs
- Laboratory of Cancer Genetics, Department of Clinical Genetics and Biocenter Oulu, University of Oulu, Oulu University Hospital, Oulu, Finland
| | | | - Mervi Grip
- Department of Surgery, Oulu University Hospital, University of Oulu, Oulu, Finland
| | - Irene L. Andrulis
- Ontario Cancer Genetics Network, Cancer Care Ontario, Toronto, Ontario, Canada
- Fred A. Litwin Center for Cancer Genetics, Samuel Lunenfeld Research Institute, Mount Sinai Hospital, Toronto, Ontario, Canada
- Department of Molecular Genetics, University of Toronto, Toronto, Ontario, Canada
| | - Julia A. Knight
- Samuel Lunenfeld Research Institute, Mount Sinai Hospital, Toronto, Ontario, Canada
- Division of Epidemiology, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| | - Gord Glendon
- Ontario Cancer Genetics Network, Cancer Care Ontario, Toronto, Ontario, Canada
| | - Anna Marie Mulligan
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario, Canada
- Department of Laboratory Medicine, and the Keenan Research Centre of the Li Ka Shing Knowledge Institute, St Michael’s Hospital, Toronto, Ontario, Canada
| | - Jonine D. Figueroa
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, United States of America
| | - Montserrat García-Closas
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, United States of America
- Sections of Epidemiology and Genetics, Institute of Cancer Research and Breakthrough Breast Cancer Research Centre, London, United Kingdom
| | - Jolanta Lissowska
- Department of Cancer Epidemiology and Prevention, M. Sklodowska-Curie Memorial Cancer Center & Institute of Oncology, Warsaw, Poland
| | - Mark E. Sherman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, United States of America
| | - Maartje Hooning
- Department of Medical Oncology, Family Cancer Clinic, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - John W. M. Martens
- Department of Medical Oncology, Josephine Nefkens Institute, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Caroline Seynaeve
- Department of Medical Oncology, Family Cancer Clinic, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Margriet Collée
- Department of Clinical Genetics, Family Cancer Clinic, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Per Hall
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Keith Humpreys
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Kamila Czene
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Jianjun Liu
- Population Genetics, Genome Institute of Singapore, Singapore, Republic of Singapore
| | - Angela Cox
- Institute for Cancer Studies, Department of Oncology, University of Sheffield, Sheffield, United Kingdom
| | - Ian W. Brock
- Institute for Cancer Studies, Department of Oncology, University of Sheffield, Sheffield, United Kingdom
| | - Simon S. Cross
- Academic Unit of Pathology, Department of Neuroscience, University of Sheffield, Sheffield, United Kingdom
| | - Malcolm W. R. Reed
- Academic Unit of Surgical Oncology, Department of Oncology, University of Sheffield, Sheffield, United Kingdom
| | - Shahana Ahmed
- Department of Oncology, University of Cambridge, Cambridge, United Kingdom
| | - Maya Ghoussaini
- Department of Oncology, University of Cambridge, Cambridge, United Kingdom
| | - Paul DP. Pharoah
- Department of Oncology, University of Cambridge, Cambridge, United Kingdom
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom
| | - Daehee Kang
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, Korea
| | - Keun-Young Yoo
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, Korea
| | - Dong-Young Noh
- Department of Surgery, Seoul National University College of Medicine, Seoul, Korea
| | - Anna Jakubowska
- Department of Genetics and Pathology, Pomeranian Medical University, Szczecin, Poland
| | - Katarzyna Jaworska
- Department of Genetics and Pathology, Pomeranian Medical University, Szczecin, Poland
- Postgraduate School of Molecular Medicine, Warsaw Medical University, Warsaw, Poland
| | - Katarzyna Durda
- Department of Genetics and Pathology, Pomeranian Medical University, Szczecin, Poland
| | - Elżbieta Złowocka
- Department of Genetics and Pathology, Pomeranian Medical University, Szczecin, Poland
| | | | - Valerie Gaborieau
- Genetic Epidemiology Group, International Agency for Research on Cancer, Lyon, France
| | - Paul Brennan
- Genetic Epidemiology Group, International Agency for Research on Cancer, Lyon, France
| | - James McKay
- Genetic Epidemiology Group, International Agency for Research on Cancer, Lyon, France
| | - Chen-Yang Shen
- Institute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan
- Taiwan Biobank, Taipei, Taiwan
| | - Jyh-Cherng Yu
- Department of Surgery, Tri-Service General Hospital, Taipei, Taiwan
| | - Huan-Ming Hsu
- Department of Surgery, Tri-Service General Hospital, Taipei, Taiwan
| | - Ming-Feng Hou
- Cancer Center and Department of Surgery, Kaohsiung Medical University Chung-Ho Memorial Hospital, Kaohsiung, Taiwan
| | - Nick Orr
- The Breakthrough Breast Cancer Research Centre, The Institute of Cancer Research, London, United Kingdom
| | - Minouk Schoemaker
- Section of Epidemiology, Institute of Cancer Research, Sutton, Surrey, United Kingdom
| | - Alan Ashworth
- The Breakthrough Breast Cancer Research Centre, The Institute of Cancer Research, London, United Kingdom
| | - Anthony Swerdlow
- Section of Epidemiology, Institute of Cancer Research, Sutton, Surrey, United Kingdom
| | - Amy Trentham-Dietz
- University of Wisconsin Carbone Cancer Center, Madison, Wisconsin, United States of America
| | - Polly A. Newcomb
- University of Wisconsin Carbone Cancer Center, Madison, Wisconsin, United States of America
- Cancer Prevention Program, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America
| | - Linda Titus
- Department of Community & Family Medicine, Department of Pediatrics, Dartmouth Medical School, Dartmouth-Hitchcock Medical Center, One Medical Center Drive, Lebanon, New Hampshire, United States of America
| | - Kathleen M. Egan
- Division of Population Sciences, Moffitt Cancer Center & Research Institute, Tampa, Florida, United States of America
| | | | - Antonis C. Antoniou
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom
| | - Manjeet K. Humphreys
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom
| | - Jonathan Morrison
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom
| | - Jenny Chang-Claude
- Unit of Genetic Epidemiology, Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Douglas F. Easton
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom
| | - Alison M. Dunning
- Department of Oncology, University of Cambridge, Cambridge, United Kingdom
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Warren H, Dudbridge F, Fletcher O, Orr N, Johnson N, Hopper JL, Apicella C, Southey MC, Mahmoodi M, Schmidt MK, Broeks A, Cornelissen S, Braaf LM, Muir KR, Lophatananon A, Chaiwerawattana A, Wiangnon S, Fasching PA, Beckmann MW, Ekici AB, Schulz-Wendtland R, Sawyer EJ, Tomlinson I, Kerin M, Burwinkel B, Marme F, Schneeweiss A, Sohn C, Guénel P, Truong T, Laurent-Puig P, Mulot C, Bojesen SE, Nielsen SF, Flyger H, Nordestgaard BG, Milne RL, Benítez J, Arias-Pérez JI, Zamora MP, Anton-Culver H, Ziogas A, Bernstein L, Dur CC, Brenner H, Müller H, Arndt V, Langheinz A, Meindl A, Golatta M, Bartram CR, Schmutzler RK, Brauch H, Justenhoven C, Brüning T, Chang-Claude J, Wang-Gohrke S, Eilber U, Dörk T, Schürmann P, Bremer M, Hillemanns P, Nevanlinna H, Muranen TA, Aittomäki K, Blomqvist C, Bogdanova N, Antonenkova N, Rogov Y, Bermisheva M, Prokofyeva D, Zinnatullina G, Khusnutdinova E, Lindblom A, Margolin S, Mannermaa A, Kosma VM, Hartikainen JM, Kataja V, Chenevix-Trench G, Beesley J, Chen X, Lambrechts D, Smeets A, Paridaens R, Weltens C, Flesch-Janys D, Buck K, Behrens S, Peterlongo P, Bernard L, Manoukian S, Radice P, Couch FJ, Vachon C, Wang X, Olson J, Giles G, Baglietto L, McLean CA, Severi G, John EM, Miron A, Winqvist R, Pylkäs K, Jukkola-Vuorinen A, Grip M, Andrulis IL, Knight JA, Mulligan AM, Weerasooriya N, Devilee P, Tollenaar RAEM, Martens JWM, Seynaeve CM, Hooning MJ, Hollestelle A, Jager A, Tilanus-Linthorst MMA, Hall P, Czene K, Liu J, Li J, Cox A, Cross SS, Brock IW, Reed MWR, Pharoah P, Blows FM, Dunning AM, Ghoussaini M, Ashworth A, Swerdlow A, Jones M, Schoemaker M, Easton DF, Humphreys M, Wang Q, Peto J, dos-Santos-Silva I. 9q31.2-rs865686 as a susceptibility locus for estrogen receptor-positive breast cancer: evidence from the Breast Cancer Association Consortium. Cancer Epidemiol Biomarkers Prev 2012; 21:1783-91. [PMID: 22859399 DOI: 10.1158/1055-9965.epi-12-0526] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.3] [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
BACKGROUND Our recent genome-wide association study identified a novel breast cancer susceptibility locus at 9q31.2 (rs865686). METHODS To further investigate the rs865686-breast cancer association, we conducted a replication study within the Breast Cancer Association Consortium, which comprises 37 case-control studies (48,394 cases, 50,836 controls). RESULTS This replication study provides additional strong evidence of an inverse association between rs865686 and breast cancer risk [study-adjusted per G-allele OR, 0.90; 95% confidence interval (CI), 0.88; 0.91, P = 2.01 × 10(-29)] among women of European ancestry. There were ethnic differences in the estimated minor (G)-allele frequency among controls [0.09, 0.30, and 0.38 among, respectively, Asians, Eastern Europeans, and other Europeans; P for heterogeneity (P(het)) = 1.3 × 10(-143)], but no evidence of ethnic differences in per allele OR (P(het) = 0.43). rs865686 was associated with estrogen receptor-positive (ER(+)) disease (per G-allele OR, 0.89; 95% CI, 0.86-0.91; P = 3.13 × 10(-22)) but less strongly, if at all, with ER-negative (ER(-)) disease (OR, 0.98; 95% CI, 0.94-1.02; P = 0.26; P(het) = 1.16 × 10(-6)), with no evidence of independent heterogeneity by progesterone receptor or HER2 status. The strength of the breast cancer association decreased with increasing age at diagnosis, with case-only analysis showing a trend in the number of copies of the G allele with increasing age at diagnosis (P for linear trend = 0.0095), but only among women with ER(+) tumors. CONCLUSIONS This study is the first to show that rs865686 is a susceptibility marker for ER(+) breast cancer. IMPACT The findings further support the view that genetic susceptibility varies according to tumor subtype.
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Affiliation(s)
- Helen Warren
- Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, Keppel Street, London, WC1E 7HT, United Kingdom
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Lambrechts D, Truong T, Justenhoven C, Humphreys MK, Wang J, Hopper JL, Dite GS, Apicella C, Southey MC, Schmidt MK, Broeks A, Cornelissen S, van Hien R, Sawyer E, Tomlinson I, Kerin M, Miller N, Milne RL, Zamora MP, Pérez JIA, Benítez J, Hamann U, Ko YD, Brüning T, Chang-Claude J, Eilber U, Hein R, Nickels S, Flesch-Janys D, Wang-Gohrke S, John EM, Miron A, Winqvist R, Pylkäs K, Jukkola-Vuorinen A, Grip M, Chenevix-Trench G, Beesley J, Chen X, Menegaux F, Cordina-Duverger E, Shen CY, Yu JC, Wu PE, Hou MF, Andrulis IL, Selander T, Glendon G, Mulligan AM, Anton-Culver H, Ziogas A, Muir KR, Lophatananon A, Rattanamongkongul S, Puttawibul P, Jones M, Orr N, Ashworth A, Swerdlow A, Severi G, Baglietto L, Giles G, Southey M, Marmé F, Schneeweiss A, Sohn C, Burwinkel B, Yesilyurt BT, Neven P, Paridaens R, Wildiers H, Brenner H, Müller H, Arndt V, Stegmaier C, Meindl A, Schott S, Bartram CR, Schmutzler RK, Cox A, Brock IW, Elliott G, Cross SS, Fasching PA, Schulz-Wendtland R, Ekici AB, Beckmann MW, Fletcher O, Johnson N, Silva IDS, Peto J, Nevanlinna H, Muranen TA, Aittomäki K, Blomqvist C, Dörk T, Schürmann P, Bremer M, Hillemanns P, Bogdanova NV, Antonenkova NN, Rogov YI, Karstens JH, Khusnutdinova E, Bermisheva M, Prokofieva D, Gancev S, Jakubowska A, Lubinski J, Jaworska K, Durda K, Nordestgaard BG, Bojesen SE, Lanng C, Mannermaa A, Kataja V, Kosma VM, Hartikainen JM, Radice P, Peterlongo P, Manoukian S, Bernard L, Couch FJ, Olson JE, Wang X, Fredericksen Z, Alnaes GG, Kristensen V, Børresen-Dale AL, Devilee P, Tollenaar RAEM, Seynaeve CM, Hooning MJ, García-Closas M, Chanock SJ, Lissowska J, Sherman ME, Hall P, Liu J, Czene K, Kang D, Yoo KY, Noh DY, Lindblom A, Margolin S, Dunning AM, Pharoah PDP, Easton DF, Guénel P, Brauch H. 11q13 is a susceptibility locus for hormone receptor positive breast cancer. Hum Mutat 2012; 33:1123-32. [PMID: 22461340 DOI: 10.1002/humu.22089] [Citation(s) in RCA: 32] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2011] [Accepted: 03/08/2012] [Indexed: 01/07/2023]
Abstract
A recent two-stage genome-wide association study (GWAS) identified five novel breast cancer susceptibility loci on chromosomes 9, 10, and 11. To provide more reliable estimates of the relative risk associated with these loci and investigate possible heterogeneity by subtype of breast cancer, we genotyped the variants rs2380205, rs1011970, rs704010, rs614367, and rs10995190 in 39 studies from the Breast Cancer Association Consortium (BCAC), involving 49,608 cases and 48,772 controls of predominantly European ancestry. Four of the variants showed clear evidence of association (P ≤ 3 × 10(-9) ) and weak evidence was observed for rs2380205 (P = 0.06). The strongest evidence was obtained for rs614367, located on 11q13 (per-allele odds ratio 1.21, P = 4 × 10(-39) ). The association for rs614367 was specific to estrogen receptor (ER)-positive disease and strongest for ER plus progesterone receptor (PR)-positive breast cancer, whereas the associations for the other three loci did not differ by tumor subtype.
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Robinson F, Lophatananon A, Rahman AA, Brown SS, Parker TL, Easton D, Jarai ZK, Pocock R, Dearnaley D, Guy M, Wilkinson RA, awyer ES, Page E, Liu JF, Grabowska A, Walker D, Hall AL, Eeles RA, Muir KR. Abstract 642: Body fat distribution and prostate cancer risk: A UK case-control study. Cancer Res 2012. [DOI: 10.1158/1538-7445.am2012-642] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Background: Prostate cancer is the most common cancer among males in the UK and in 2007 accounted for almost a quarter of all male cancers diagnosed. Previous studies have shown some associations between body size/obesity and prostate cancer risk. However body fat distribution in terms of perceived “body shape” and its association with prostate cancer risk has never been described. Methods: In the UK data from 1343 cases and 817 controls with age ranged between 38 and 85, with mean age 62.4 (SD 6.2) were collected between 2007 -2009 as part of the UKGPCS Prostate Cancer Study. The data on subjects’ body fat distribution type including “apple” (body fat mostly around the waist and upper trunk), “pear” (body fat around hips), “oval” (body fat generalised on whole body) and “symmetrical” were obtained through self report diagrams in questionnaires after consent from the subjects. Unconditional logistic regression analysis, with adjustment for age, education, ethnic, family history and lifetime body shape size as potential confounders, were carried out to obtain odds ratios and confidence intervals for different types of body fat distribution to assess their possible association with risk of prostate cancer. Results: A “symmetrical” body shape was used as the reference category. Subjects with an “apple” shape were at a significantly 30% reduced risk (adjusted OR 0.70 with 95% CI: 0.55-0.89). Subjects with an “oval” or “pear” shapes did not show any statistically significant association. Conclusion: An “apple” body fat distribution was associated with reduced prostate cancer risk when compared to symmetrical shape.
Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 103rd Annual Meeting of the American Association for Cancer Research; 2012 Mar 31-Apr 4; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2012;72(8 Suppl):Abstract nr 642. doi:1538-7445.AM2012-642
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Affiliation(s)
- Fredie Robinson
- 1School of Medicine, University Malaysia Sabah, Kota Kinabalu, Malaysia
| | - Artitaya Lophatananon
- 2Health Sciences Research Institute, Warwick Medical School, Warwick University, Coventry, United Kingdom
| | - Aneela A. Rahman
- 3Community Medicine and Public Health Sciences, Liaquat University of Medical and Health Sciences, Jamshoro, Pakistan
| | - Sarah S. Brown
- 2Health Sciences Research Institute, Warwick Medical School, Warwick University, Coventry, United Kingdom
| | - Terence L. Parker
- 4School of Biomedical Sciences, University of Nottingham, Nottingham, United Kingdom
| | - Douglas Easton
- 55CR-UK Genetic Epidemiology Unit, Strangeways Research Laboratories, Cambridge, United Kingdom
| | - Zsofia K. Jarai
- 6The Institute of Cancer Research, Sutton, Surrey, United Kingdom
| | - Richard Pocock
- 7Royal Devon and Exeter NHS Foundation Trust, Exeter, United Kingdom
| | - David Dearnaley
- 6The Institute of Cancer Research, Sutton, Surrey, United Kingdom
| | - Michelle Guy
- 6The Institute of Cancer Research, Sutton, Surrey, United Kingdom
| | | | - Emma S awyer
- 6The Institute of Cancer Research, Sutton, Surrey, United Kingdom
| | - Elizabeth Page
- 6The Institute of Cancer Research, Sutton, Surrey, United Kingdom
| | - Jo-Fen Liu
- 8Children's Brain Tumour Research, Division of Child Health, University of Nottingham, Queens Medical Centre, Nottingham, United Kingdom
| | - Anna Grabowska
- 9Preclinical Oncology Div., School of Clinical Sciences, University of Nottingham, Queens Medical Centre, Nottingham, United Kingdom
| | - David Walker
- 8Children's Brain Tumour Research, Division of Child Health, University of Nottingham, Queens Medical Centre, Nottingham, United Kingdom
| | - Amanda L. Hall
- 108The Royal Marsden NHS Foundation Trust, Sutton, United Kingdom
| | - Rosalind A. Eeles
- 55CR-UK Genetic Epidemiology Unit, Strangeways Research Laboratories, Cambridge, United Kingdom
| | - Kenneth R. Muir
- 2Health Sciences Research Institute, Warwick Medical School, Warwick University, Coventry, United Kingdom
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Malfait AM, Seymour AB, Gao F, Tortorella MD, Le Graverand-Gastineau MPH, Wood LS, Doherty M, Doherty S, Zhang W, Arden NK, Vaughn FL, Leaverton PE, Spector TD, Hart DJ, Maciewicz RA, Muir KR, Das R, Sorge RE, Sotocinal SG, Schorscher-Petcu A, Valdes AM, Mogil JS. A role for PACE4 in osteoarthritis pain: evidence from human genetic association and null mutant phenotype. Ann Rheum Dis 2012; 71:1042-8. [PMID: 22440827 DOI: 10.1136/annrheumdis-2011-200300] [Citation(s) in RCA: 43] [Impact Index Per Article: 3.6] [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: 01/03/2023]
Abstract
OBJECTIVES The aim of this study was to assess if genetic variation in the PACE4 (paired amino acid converting enzyme 4) gene Pcsk6 influences the risk for symptomatic knee osteoarthritis (OA). METHODS Ten PCSK6 single nucleotide polymorphisms were tested for association in a discovery cohort of radiographic knee OA (n=156 asymptomatic and 600 symptomatic cases). Meta-analysis of the minor allele at rs900414 was performed in three additional independent cohorts (total n=674 asymptomatic and 2068 symptomatic). Pcsk6 knockout mice and wild-type C57BL/6 mice were compared in a battery of algesiometric assays, including hypersensitivity in response to intraplantar substance P, pain behaviours in response to intrathecal substance P and pain behaviour in the abdominal constriction test. RESULTS In the discovery cohort of radiographic knee OA, an intronic single nucleotide polymorphism at rs900414 was significantly associated with symptomatic OA. Replication in three additional cohorts confirmed that the minor allele at rs900414 was consistently increased among asymptomatic compared to symptomatic radiographic knee OA cases in all four cohorts. A fixed-effects meta-analysis yielded an OR=1.35 (95% CI 1.17 to 1.56; p=4.3×10(-5) and no significant between-study heterogeneity). Studies in mice revealed that Pcsk6 knockout mice were significantly protected against pain in a battery of algesiometric assays. CONCLUSIONS These results suggest that a variant in PCSK6 is strongly associated with protection against pain in knee OA, offering some insight as to why, in the presence of the same structural damage, some individuals develop chronic pain and others are protected. Studies in Pcsk6 null mutant mice further implicate PACE4 in pain.
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Affiliation(s)
- Anne-Marie Malfait
- Department of Biochemistry/ Internal Medicine, Rush University Medical Center, Chicago, Illinois 60612, USA.
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Ghoussaini M, Fletcher O, Michailidou K, Turnbull C, Schmidt MK, Dicks E, Dennis J, Wang Q, Humphreys MK, Luccarini C, Baynes C, Conroy D, Maranian M, Ahmed S, Driver K, Johnson N, Orr N, dos Santos Silva I, Waisfisz Q, Meijers-Heijboer H, Uitterlinden AG, Rivadeneira F, Hall P, Czene K, Irwanto A, Liu J, Nevanlinna H, Aittomäki K, Blomqvist C, Meindl A, Schmutzler RK, Müller-Myhsok B, Lichtner P, Chang-Claude J, Hein R, Nickels S, Flesch-Janys D, Tsimiklis H, Makalic E, Schmidt D, Bui M, Hopper JL, Apicella C, Park DJ, Southey M, Hunter DJ, Chanock SJ, Broeks A, Verhoef S, Hogervorst FBL, Fasching PA, Lux MP, Beckmann MW, Ekici AB, Sawyer E, Tomlinson I, Kerin M, Marme F, Schneeweiss A, Sohn C, Burwinkel B, Guénel P, Truong T, Cordina-Duverger E, Menegaux F, Bojesen SE, Nordestgaard BG, Nielsen SF, Flyger H, Milne RL, Alonso MR, González-Neira A, Benítez J, Anton-Culver H, Ziogas A, Bernstein L, Dur CC, Brenner H, Müller H, Arndt V, Stegmaier C, Justenhoven C, Brauch H, Brüning T, Wang-Gohrke S, Eilber U, Dörk T, Schürmann P, Bremer M, Hillemanns P, Bogdanova NV, Antonenkova NN, Rogov YI, Karstens JH, Bermisheva M, Prokofieva D, Khusnutdinova E, Lindblom A, Margolin S, Mannermaa A, Kataja V, Kosma VM, Hartikainen JM, Lambrechts D, Yesilyurt BT, Floris G, Leunen K, Manoukian S, Bonanni B, Fortuzzi S, Peterlongo P, Couch FJ, Wang X, Stevens K, Lee A, Giles GG, Baglietto L, Severi G, McLean C, Alnaes GG, Kristensen V, Børrensen-Dale AL, John EM, Miron A, Winqvist R, Pylkäs K, Jukkola-Vuorinen A, Kauppila S, Andrulis IL, Glendon G, Mulligan AM, Devilee P, van Asperen CJ, Tollenaar RAEM, Seynaeve C, Figueroa JD, Garcia-Closas M, Brinton L, Lissowska J, Hooning MJ, Hollestelle A, Oldenburg RA, van den Ouweland AMW, Cox A, Reed MWR, Shah M, Jakubowska A, Lubinski J, Jaworska K, Durda K, Jones M, Schoemaker M, Ashworth A, Swerdlow A, Beesley J, Chen X, Muir KR, Lophatananon A, Rattanamongkongul S, Chaiwerawattana A, Kang D, Yoo KY, Noh DY, Shen CY, Yu JC, Wu PE, Hsiung CN, Perkins A, Swann R, Velentzis L, Eccles DM, Tapper WJ, Gerty SM, Graham NJ, Ponder BAJ, Chenevix-Trench G, Pharoah PDP, Lathrop M, Dunning AM, Rahman N, Peto J, Easton DF. Genome-wide association analysis identifies three new breast cancer susceptibility loci. Nat Genet 2012; 44:312-8. [PMID: 22267197 PMCID: PMC3653403 DOI: 10.1038/ng.1049] [Citation(s) in RCA: 229] [Impact Index Per Article: 19.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2011] [Accepted: 12/01/2011] [Indexed: 12/14/2022]
Abstract
Breast cancer is the most common cancer among women. To date, 22 common breast cancer susceptibility loci have been identified accounting for ∼8% of the heritability of the disease. We attempted to replicate 72 promising associations from two independent genome-wide association studies (GWAS) in ∼70,000 cases and ∼68,000 controls from 41 case-control studies and 9 breast cancer GWAS. We identified three new breast cancer risk loci at 12p11 (rs10771399; P = 2.7 × 10(-35)), 12q24 (rs1292011; P = 4.3 × 10(-19)) and 21q21 (rs2823093; P = 1.1 × 10(-12)). rs10771399 was associated with similar relative risks for both estrogen receptor (ER)-negative and ER-positive breast cancer, whereas the other two loci were associated only with ER-positive disease. Two of the loci lie in regions that contain strong plausible candidate genes: PTHLH (12p11) has a crucial role in mammary gland development and the establishment of bone metastasis in breast cancer, and NRIP1 (21q21) encodes an ER cofactor and has a role in the regulation of breast cancer cell growth.
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Affiliation(s)
- Maya Ghoussaini
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, UK
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Abhishek A, Doherty S, Maciewicz RA, Muir KR, Zhang W, Doherty M. Self-reported knee malalignment in early adult life as an independent risk for knee chondrocalcinosis. Arthritis Care Res (Hoboken) 2011; 63:1550-7. [DOI: 10.1002/acr.20593] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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Valdes AM, Styrkarsdottir U, Doherty M, Morris DL, Mangino M, Tamm A, Doherty SA, Kisand K, Kerna I, Tamm A, Wheeler M, Maciewicz RA, Zhang W, Muir KR, Dennison EM, Hart DJ, Metrustry S, Jonsdottir I, Jonsson GF, Jonsson H, Ingvarsson T, Cooper C, Vyse TJ, Spector TD, Stefansson K, Arden NK. Large scale replication study of the association between HLA class II/BTNL2 variants and osteoarthritis of the knee in European-descent populations. PLoS One 2011; 6:e23371. [PMID: 21853121 PMCID: PMC3154440 DOI: 10.1371/journal.pone.0023371] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2011] [Accepted: 07/14/2011] [Indexed: 02/07/2023] Open
Abstract
Osteoarthritis (OA) is the most common form of arthritis and a major cause of disability. This study evaluates the association in Caucasian populations of two single nucleotide polymorphisms (SNPs) mapping to the Human Leukocyte Antigen (HLA) region and deriving from a genome wide association scan (GWAS) of knee OA in Japanese populations. The frequencies for rs10947262 were compared in 36,408 controls and 5,749 knee OA cases from European-descent populations. rs7775228 was tested in 32,823 controls and 1,837 knee OA cases of European descent. The risk (major) allele at rs10947262 in Caucasian samples was not significantly associated with an odds ratio (OR) = 1.07 (95%CI 0.94 -1.21; p = 0.28). For rs7775228 the meta-analysis resulted in OR = 0.94 (95%CI 0.81-1.09; p = 0.42) for the allele associated with risk in the Japanese GWAS. In Japanese individuals these two SNPs are in strong linkage disequilibrium (LD) (r(2) = 0.86) with the HLA class II haplotype DRB1*1502 DQA1*0103 DQB1*0601 (frequency 8%). In Caucasian and Chinese samples, using imputed data, these SNPs appear not to be in LD with that haplotype (r(2)<0.07). The rs10947262 and rs7775228 variants are not associated with risk of knee OA in European descent populations and they do not appear tag the same HLA class II haplotype as they do in Japanese individuals.
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Affiliation(s)
- Ana M Valdes
- Department of Twin Research and Genetic Epidemiology, King's College London, London, United Kingdom.
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Ingham SL, Zhang W, Doherty SA, McWilliams DF, Muir KR, Doherty M. Incident knee pain in the Nottingham community: a 12-year retrospective cohort study. Osteoarthritis Cartilage 2011; 19:847-52. [PMID: 21477657 DOI: 10.1016/j.joca.2011.03.012] [Citation(s) in RCA: 25] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/04/2010] [Revised: 03/23/2011] [Accepted: 03/28/2011] [Indexed: 02/02/2023]
Abstract
OBJECTIVES To determine the community incidence of knee pain and associated risk factors over a 12-year period in people over the age of 40 years. METHOD A cohort study of knee pain was undertaken in 2156 people from four general practices in North Nottinghamshire, UK. Knee pain was defined as 'pain around the knee for most days of at least a month'. Cumulative incidence over 12 years and person-year incidence rate of knee pain were estimated. Survival analysis was undertaken for time to the onset of knee pain. Hazard ratio (HR) and 95% confidence interval (CI) were estimated for relative risk between exposure and non-exposure. Cox regression model was used to adjust for confounding factors. RESULTS The 12-year cumulative incidence of knee pain was 34.4% (32% for men and 35% for women), corresponding to an average incidence rate of 32 (31 for men and 34 for women)/1000 person-years. Incident knee pain was associated with female gender (HR 1.27, 95% CI 1.08, 1.49), obesity (1.80; 95% CI 1.37, 2.38), varus (1.68, 95% CI 1.15, 2.47) and valgus (1.83, 95% CI 1.05, 3.20) mal-alignment, and knee injury (2.37, 95% CI 2.98, 2.85). CONCLUSIONS For people over age 40, one in three will develop knee pain within 12 years. On average, the risk of knee pain was 32/1000 person-years. This risk is associated with a variety of constitutional and environmental biomechanical insults to the knee. Some of these could be modified to possibly reduce the incidence of the condition.
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Affiliation(s)
- S L Ingham
- Academic Rheumatology, University of Nottingham, Clinical Sciences Building, City Hospital, Nottingham NG7 1PB, UK
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Amirian ES, Scheurer ME, Liu Y, D'Amelio AM, Houlston RS, Etzel CJ, Shete S, Swerdlow AJ, Schoemaker MJ, McKinney PA, Fleming SJ, Muir KR, Lophatananon A, Bondy ML. A novel approach to exploring potential interactions among single-nucleotide polymorphisms of inflammation genes in gliomagenesis: an exploratory case-only study. Cancer Epidemiol Biomarkers Prev 2011; 20:1683-1689. [PMID: 21724854 DOI: 10.1158/1055-9965.epi-11-0203] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023] Open
Abstract
BACKGROUND Despite extensive research on the topic, glioma etiology remains largely unknown. Exploration of potential interactions between single-nucleotide polymorphisms (SNP) of immune genes is a promising new area of glioma research. The case-only study design is a powerful and efficient design for exploring possible multiplicative interactions between factors that are independent of one another. The purpose of our study was to use this exploratory design to identify potential pair wise SNP-SNP interactions from genes involved in several different immune-related pathways for investigation in future studies. METHODS The study population consisted of two case groups: 1,224 histologic confirmed, non-Hispanic white glioma cases from the United States and a validation population of 634 glioma cases from the United Kingdom. Polytomous logistic regression, in which one SNP was coded as the outcome and the other SNP was included as the exposure, was utilized to calculate the ORs of the likelihood of cases simultaneously having the variant alleles of two different SNPs. Potential interactions were examined only between SNPs located in different genes or chromosomes. RESULTS Using this data mining strategy, we found 396 significant SNP-SNP interactions among polymorphisms of immune-related genes that were present in both the U.S. and U.K. study populations. CONCLUSION This exploratory study was conducted for the purpose of hypothesis generation, and thus has provided several new hypotheses that can be tested using traditional case-control study designs to obtain estimates of risk. IMPACT This is the first study, to our knowledge, to take this novel approach to identifying SNP-SNP interactions relevant to glioma etiology.
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Affiliation(s)
- E Susan Amirian
- Dan L. Duncan Cancer Center, Baylor College of Medicine, Houston, TX, USA
| | - Michael E Scheurer
- Dan L. Duncan Cancer Center, Baylor College of Medicine, Houston, TX, USA.,Department of Pediatrics, Baylor College of Medicine, Houston, TX, USA
| | - Yanhong Liu
- Department of Epidemiology, The University of Texas M. D. Anderson Cancer Center, Houston, TX, USA
| | - Anthony M D'Amelio
- Department of Epidemiology, The University of Texas M. D. Anderson Cancer Center, Houston, TX, USA
| | - Richard S Houlston
- Section of Cancer Genetics, Institute of Cancer Research, Sutton, Surrey, UK
| | - Carol J Etzel
- Department of Epidemiology, The University of Texas M. D. Anderson Cancer Center, Houston, TX, USA
| | - Sanjay Shete
- Department of Epidemiology, The University of Texas M. D. Anderson Cancer Center, Houston, TX, USA
| | - Anthony J Swerdlow
- Section of Epidemiology, Institute of Cancer Research, Sutton, Surrey, UK
| | | | | | - Sarah J Fleming
- Centre for Epidemiology and Biostatistics, University of Leeds, Leeds, UK
| | - Kenneth R Muir
- Health Sciences Research Institute, Warwick Medical School, University of Warwick, Coventry, UK
| | - Artitaya Lophatananon
- Health Sciences Research Institute, Warwick Medical School, University of Warwick, Coventry, UK
| | - Melissa L Bondy
- Department of Epidemiology, The University of Texas M. D. Anderson Cancer Center, Houston, TX, USA
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