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Karoline Kuchenbaecker

Bio: Karoline Kuchenbaecker is an academic researcher from University College London. The author has contributed to research in topics: Population & Breast cancer. The author has an hindex of 28, co-authored 61 publications receiving 6212 citations. Previous affiliations of Karoline Kuchenbaecker include University of Cambridge & Wellcome Trust Sanger Institute.


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Journal ArticleDOI
20 Jun 2017-JAMA
TL;DR: To estimate age-specific risks of breast, ovarian, and contralateral breast cancer for mutation carriers and to evaluate risk modification by family cancer history and mutation location, a large cohort study recruited in 1997-2011 provides estimates of cancer risk based on BRCA1 and BRCa2 mutation carrier status.
Abstract: Importance: The clinical management of BRCA1 and BRCA2 mutation carriers requires accurate, prospective cancer risk estimates. Objectives: To estimate age-specific risks of breast, ovarian, and contralateral breast cancer for mutation carriers and to evaluate risk modification by family cancer history and mutation location. Design, Setting, and Participants: Prospective cohort study of 6036 BRCA1 and 3820 BRCA2 female carriers (5046 unaffected and 4810 with breast or ovarian cancer or both at baseline) recruited in 1997-2011 through the International BRCA1/2 Carrier Cohort Study, the Breast Cancer Family Registry and the Kathleen Cuningham Foundation Consortium for Research into Familial Breast Cancer, with ascertainment through family clinics (94%) and population-based studies (6%). The majority were from large national studies in the United Kingdom (EMBRACE), the Netherlands (HEBON), and France (GENEPSO). Follow-up ended December 2013; median follow-up was 5 years. Exposures: BRCA1/2 mutations, family cancer history, and mutation location. Main Outcomes and Measures: Annual incidences, standardized incidence ratios, and cumulative risks of breast, ovarian, and contralateral breast cancer. Results: Among 3886 women (median age, 38 years; interquartile range [IQR], 30-46 years) eligible for the breast cancer analysis, 5066 women (median age, 38 years; IQR, 31-47 years) eligible for the ovarian cancer analysis, and 2213 women (median age, 47 years; IQR, 40-55 years) eligible for the contralateral breast cancer analysis, 426 were diagnosed with breast cancer, 109 with ovarian cancer, and 245 with contralateral breast cancer during follow-up. The cumulative breast cancer risk to age 80 years was 72% (95% CI, 65%-79%) for BRCA1 and 69% (95% CI, 61%-77%) for BRCA2 carriers. Breast cancer incidences increased rapidly in early adulthood until ages 30 to 40 years for BRCA1 and until ages 40 to 50 years for BRCA2 carriers, then remained at a similar, constant incidence (20-30 per 1000 person-years) until age 80 years. The cumulative ovarian cancer risk to age 80 years was 44% (95% CI, 36%-53%) for BRCA1 and 17% (95% CI, 11%-25%) for BRCA2 carriers. For contralateral breast cancer, the cumulative risk 20 years after breast cancer diagnosis was 40% (95% CI, 35%-45%) for BRCA1 and 26% (95% CI, 20%-33%) for BRCA2 carriers (hazard ratio [HR] for comparing BRCA2 vs BRCA1, 0.62; 95% CI, 0.47-0.82; P=.001 for difference). Breast cancer risk increased with increasing number of first- and second-degree relatives diagnosed as having breast cancer for both BRCA1 (HR for ≥2 vs 0 affected relatives, 1.99; 95% CI, 1.41-2.82; P<.001 for trend) and BRCA2 carriers (HR, 1.91; 95% CI, 1.08-3.37; P=.02 for trend). Breast cancer risk was higher if mutations were located outside vs within the regions bounded by positions c.2282-c.4071 in BRCA1 (HR, 1.46; 95% CI, 1.11-1.93; P=.007) and c.2831-c.6401 in BRCA2 (HR, 1.93; 95% CI, 1.36-2.74; P<.001). Conclusions and Relevance: These findings provide estimates of cancer risk based on BRCA1 and BRCA2 mutation carrier status using prospective data collection and demonstrate the potential importance of family history and mutation location in risk assessment.

1,733 citations

Journal ArticleDOI
Daniel I. Swerdlow1, Michael V. Holmes1, Karoline Kuchenbaecker2, Engmann Jel.1, Tina Shah1, Reecha Sofat1, Yiran Guo, C Chung1, Anne Peasey1, Roman Pfister3, Simon P. Mooijaart4, Helen Ireland1, Maarten Leusink5, Claudia Langenberg3, KaWah Li1, Jutta Palmen1, Phil Howard1, Jackie A. Cooper1, Fotios Drenos1, John Hardy1, Mike A. Nalls6, Yun Li7, Gordon D.O. Lowe8, Marlene C. W. Stewart9, S. J. Bielinski10, Julian Peto11, Nicholas J. Timpson12, John Gallacher13, Malcolm G. Dunlop9, Richard S. Houlston, Ian Tomlinson14, Ioanna Tzoulaki15, Jian'an Luan2, Boer Jma.2, Nita G. Forouhi2, N. C. Onland-Moret5, Y. T. van der Schouw16, Renate B. Schnabel16, Jaroslav A. Hubacek, Růžena Kubínová, Migle Baceviciene17, Abdonas Tamosiunas17, Andrzej Pajak18, Roman Topor-Madry18, Sofia Malyutina19, Damiano Baldassarre, Bengt Sennblad20, Elena Tremoli, U de Faire21, Luigi Ferrucci21, S Bandenelli, Tetsu Tanaka21, James F. Meschia10, AB Singleton6, Gerjan Navis22, I. Mateo Leach22, Bakker Sjl.22, Ron T. Gansevoort, Ian Ford8, Stephen E. Epstein23, Mary-Susan Burnett23, Joe Devaney23, Johan Wouter Jukema4, Westendorp Rgj.5, G Jan de Borst5, Y. van der Graaf5, P A de Jong5, Mailand-van der Zee A-H.5, Olaf H. Klungel5, A. de Boer5, P. A. Doevendans5, Jeffrey W. Stephens24, Charles B. Eaton25, Jennifer G. Robinson26, JoAnn E. Manson27, F G Fowkes28, Timothy M. Frayling28, Jenna Price9, Peter H. Whincup11, Richard W Morris1, Debbie A Lawlor12, George Davey Smith12, Yoav Ben-Shlomo12, Susan Redline27, Leslie A. Lange29, Meena Kumari1, Nicholas J. Wareham2, Verschuren Wmm.30, Emelia J. Benjamin30, John C. Whittaker11, Anders Hamsten20, Frank Dudbridge11, Delaney Jac.31, Andrew Wong31, Diana Kuh31, Rebecca Hardy31, Berta Almoguera Castillo7, John Connolly7, P. van der Harst, Eric J. Brunner1, Michael Marmot1, Christina L. Wassel32, Steve E. Humphries1, P.J. Talmud1, Mika Kivimäki1, Folkert W. Asselbergs5, Mikhail I. Voevoda19, Martin Bobak1, Hynek Pikhart1, James G. Wilson33, Hakon Hakonarson7, Alexander P. Reiner34, Brendan J. Keating7, Naveed Sattar8, Aroon D. Hingorani1, Juan P. Casas11 
TL;DR: IL6R blockade could provide a novel therapeutic approach to prevention of coronary heart disease that warrants testing in suitably powered randomised trials and could help to validate and prioritise novel drug targets or to repurpose existing agents and targets for new therapeutic uses.

891 citations

Journal ArticleDOI
Michael V. Holmes1, Michael V. Holmes2, Caroline Dale3, Luisa Zuccolo  +167 moreInstitutions (62)
10 Jul 2014-BMJ
TL;DR: In this article, the causal role of alcohol consumption in cardiovascular disease was investigated using a Mendelian randomisation meta-analysis of 56 epidemiological studies, including 20 259 coronary heart disease cases and 10 164 stroke events.
Abstract: OBJECTIVE: To use the rs1229984 variant in the alcohol dehydrogenase 1B gene (ADH1B) as an instrument to investigate the causal role of alcohol in cardiovascular disease. DESIGN: Mendelian randomisation meta-analysis of 56 epidemiological studies. PARTICIPANTS: 261 991 individuals of European descent, including 20 259 coronary heart disease cases and 10 164 stroke events. Data were available on ADH1B rs1229984 variant, alcohol phenotypes, and cardiovascular biomarkers. MAIN OUTCOME MEASURES: Odds ratio for coronary heart disease and stroke associated with the ADH1B variant in all individuals and by categories of alcohol consumption. RESULTS: Carriers of the A-allele of ADH1B rs1229984 consumed 17.2% fewer units of alcohol per week (95% confidence interval 15.6% to 18.9%), had a lower prevalence of binge drinking (odds ratio 0.78 (95% CI 0.73 to 0.84)), and had higher abstention (odds ratio 1.27 (1.21 to 1.34)) than non-carriers. Rs1229984 A-allele carriers had lower systolic blood pressure (-0.88 (-1.19 to -0.56) mm Hg), interleukin-6 levels (-5.2% (-7.8 to -2.4%)), waist circumference (-0.3 (-0.6 to -0.1) cm), and body mass index (-0.17 (-0.24 to -0.10) kg/m(2)). Rs1229984 A-allele carriers had lower odds of coronary heart disease (odds ratio 0.90 (0.84 to 0.96)). The protective association of the ADH1B rs1229984 A-allele variant remained the same across all categories of alcohol consumption (P=0.83 for heterogeneity). Although no association of rs1229984 was identified with the combined subtypes of stroke, carriers of the A-allele had lower odds of ischaemic stroke (odds ratio 0.83 (0.72 to 0.95)). CONCLUSIONS: Individuals with a genetic variant associated with non-drinking and lower alcohol consumption had a more favourable cardiovascular profile and a reduced risk of coronary heart disease than those without the genetic variant. This suggests that reduction of alcohol consumption, even for light to moderate drinkers, is beneficial for cardiovascular health.

571 citations

Journal ArticleDOI
Daniel I. Swerdlow1, David Preiss2, Karoline Kuchenbaecker3, Michael V. Holmes1, Jorgen Engmann1, Tina Shah1, Reecha Sofat1, Stefan Stender4, Paul C. D. Johnson2, Robert A. Scott5, Maarten Leusink6, Niek Verweij, Stephen J. Sharp5, Yiran Guo7, Claudia Giambartolomei1, Christina Chung1, Anne Peasey1, Antoinette Amuzu8, KaWah Li7, Jutta Palmen1, Philip N. Howard1, Jackie A. Cooper1, Fotios Drenos1, Yun Li1, Gordon D.O. Lowe2, John Gallacher9, Marlene C. W. Stewart9, Ioanna Tzoulaki10, Sarah G. Buxbaum4, Daphne L. van der A4, Nita G. Forouhi5, N. Charlotte Onland-Moret4, Yvonne T. van der Schouw4, Renate B. Schnabel11, Jaroslav A. Hubacek12, Ruzena Kubinova13, Migle Baceviciene14, Abdonas Tamosiunas13, Andrzej Pajak15, Romanvan Topor-Madry15, Urszula Stepaniak15, Sofia Malyutina15, Damiano Baldassarre16, Bengt Sennblad17, Elena Tremoli16, Ulf de Faire18, Fabrizio Veglia19, Ian Ford2, J. Wouter Jukema20, Rudi G. J. Westendorp20, Gert J. de Borst4, Pim A. de Jong4, Ale Algra, Wilko Spiering, Anke H. Maitland-van der Zee6, Olaf H. Klungel6, Anthonius de Boer6, Pieter A. Doevendans, Charles B. Eaton21, Jennifer G. Robinson22, David Duggan23, John Kjekshus24, John R. Downs25, Antonio M. Gotto, Anthony C Keech, Roberto Marchioli, Gianni Tognoni26, Peter S. Sever, Neil R Poulter, David D. Waters, Terje R. Pedersen, Pierre Amarenco, Haruo Nakamura, John J.V. McMurray2, James Lewsey3, Daniel I. Chasman27, Paul M. Ridker27, Aldo P. Maggioni28, Luigi Tavazzi28, Kausik K. Ray29, Sreenivasa Rao Kondapally Seshasai29, JoAnn E. Manson27, Jackie F. Price9, Peter H. Whincup30, Richard W Morris1, Debbie A Lawlor31, George Davey Smith31, Yoav Ben-Shlomo31, Pamela J. Schreiner32, Myriam Fornage33, David S. Siscovick34, Mary Cushman35, Meena Kumari1, Nicholas J. Wareham5, W M Monique Verschuren4, Susan Redline36, Sanjay R. Patel36, John C. Whittaker32, Anders Hamsten17, Joseph A.C. Delaney37, Caroline Dale38, Tom R. Gaunt30, Andrew Wong1, Diana Kuh1, Rebecca Hardy1, Sekar Kathiresan, Berta Almoguera Castillo7, Pim van der Harst, Eric J. Brunner1, Anne Tybjærg-Hansen4, Michael Marmot1, Ronald M. Krauss39, Michael Y. Tsai26, Josef Coresh40, Ron C. Hoogeveen40, Bruce M. Psaty34, Leslie A. Lange40, Hakon Hakonarson7, Frank Dudbridge8, Steve E. Humphries1, Philippa J. Talmud1, Mika Kivimäki1, Nicholas J. Timpson31, Claudia Langenberg5, Folkert W. Asselbergs, Mikhail Voevoda15, Martin Bobak1, Hynek Pikhart1, James G. Wilson40, Alexander P. Reiner40, Brendan J. Keating7, Aroon D. Hingorani1, Naveed Sattar2 
TL;DR: The increased risk of type 2 diabetes noted with statins is at least partially explained by HMGCR inhibition.

545 citations

Journal ArticleDOI
Stig E. Bojesen1, Stig E. Bojesen2, Karen A. Pooley3, Sharon E. Johnatty4  +452 moreInstitutions (129)
TL;DR: Using the Illumina custom genotyping array iCOGs, SNPs at the TERT locus in breast, ovarian and BRCA1 mutation carrier cancer cases and controls and leukocyte telomere measurements are analyzed to find associations cluster into three independent peaks.
Abstract: TERT-locus SNPs and leukocyte telomere measures are reportedly associated with risks of multiple cancers. Using the Illumina custom genotyping array iCOG, we analyzed similar to 480 SNPs at the TERT locus in breast (n = 103,991), ovarian (n = 39,774) and BRCA1 mutation carrier (n = 11,705) cancer cases and controls. Leukocyte telomere measurements were also available for 53,724 participants. Most associations cluster into three independent peaks. The minor allele at the peak 1 SNP rs2736108 associates with longer telomeres (P = 5.8 x 10(-7)), lower risks for estrogen receptor (ER)-negative (P = 1.0 x 10(-8)) and BRCA1 mutation carrier (P = 1.1 x 10(-5)) breast cancers and altered promoter assay signal. The minor allele at the peak 2 SNP rs7705526 associates with longer telomeres (P = 2.3 x 10(-14)), higher risk of low-malignant-potential ovarian cancer (P = 1.3 x 10(-15)) and greater promoter activity. The minor alleles at the peak 3 SNPs rs10069690 and rs2242652 increase ER-negative (P = 1.2 x 10(-12)) and BRCA1 mutation carrier (P = 1.6 x 10-14) breast and invasive ovarian (P = 1.3 x 10(-11)) cancer risks but not via altered telomere length. The cancer risk alleles of rs2242652 and rs10069690, respectively, increase silencing and generate a truncated TERT splice variant.

522 citations


Cited by
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Journal Article
Fumio Tajima1
30 Oct 1989-Genomics
TL;DR: It is suggested that the natural selection against large insertion/deletion is so weak that a large amount of variation is maintained in a population.

11,521 citations

Journal ArticleDOI
TL;DR: The Global Burden of Disease, Injuries, and Risk Factor study 2013 (GBD 2013) as discussed by the authors provides a timely opportunity to update the comparative risk assessment with new data for exposure, relative risks, and evidence on the appropriate counterfactual risk distribution.

5,668 citations

Journal ArticleDOI
TL;DR: Antiinflammatory therapy targeting the interleukin‐1β innate immunity pathway with canakinumab at a dose of 150 mg every 3 months led to a significantly lower rate of recurrent cardiovascular events than placebo, independent of lipid‐level lowering.
Abstract: BackgroundExperimental and clinical data suggest that reducing inflammation without affecting lipid levels may reduce the risk of cardiovascular disease. Yet, the inflammatory hypothesis of atherothrombosis has remained unproved. MethodsWe conducted a randomized, double-blind trial of canakinumab, a therapeutic monoclonal antibody targeting interleukin-1β, involving 10,061 patients with previous myocardial infarction and a high-sensitivity C-reactive protein level of 2 mg or more per liter. The trial compared three doses of canakinumab (50 mg, 150 mg, and 300 mg, administered subcutaneously every 3 months) with placebo. The primary efficacy end point was nonfatal myocardial infarction, nonfatal stroke, or cardiovascular death. ResultsAt 48 months, the median reduction from baseline in the high-sensitivity C-reactive protein level was 26 percentage points greater in the group that received the 50-mg dose of canakinumab, 37 percentage points greater in the 150-mg group, and 41 percentage points greater in t...

5,660 citations

01 Feb 2015
TL;DR: In this article, the authors describe the integrative analysis of 111 reference human epigenomes generated as part of the NIH Roadmap Epigenomics Consortium, profiled for histone modification patterns, DNA accessibility, DNA methylation and RNA expression.
Abstract: The reference human genome sequence set the stage for studies of genetic variation and its association with human disease, but epigenomic studies lack a similar reference. To address this need, the NIH Roadmap Epigenomics Consortium generated the largest collection so far of human epigenomes for primary cells and tissues. Here we describe the integrative analysis of 111 reference human epigenomes generated as part of the programme, profiled for histone modification patterns, DNA accessibility, DNA methylation and RNA expression. We establish global maps of regulatory elements, define regulatory modules of coordinated activity, and their likely activators and repressors. We show that disease- and trait-associated genetic variants are enriched in tissue-specific epigenomic marks, revealing biologically relevant cell types for diverse human traits, and providing a resource for interpreting the molecular basis of human disease. Our results demonstrate the central role of epigenomic information for understanding gene regulation, cellular differentiation and human disease.

4,409 citations