Author: "Kuchenbaecker K" - Searchworks@Jio Institute Digital Library Search Results

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81 results on '"Kuchenbaecker K"'

1. The effect of cholesteryl ester transfer protein (CETP) activity on cardiometabolic and non-cardiometabolic diseases in East-Asian and European populations

Author: Dunca, D., primary, Chopade, S., additional, Gordillo-Maranon, M., additional, Hingorani, A., additional, Kuchenbaecker, K., additional, Finan, C., additional, and Schmidt, A., additional
Published: 2023
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2. Psychosis Endophenotypes:A Gene-Set-Specific Polygenic Risk Score Analysis

Author: Wang, BH, Irizar, H, Thygesen, JH, Zartaloudi, E, Austin-Zimmerman, I, Bhat, A, Harju-Seppaenen, J, Pain, O, Bass, N, Gkofa, V, Alizadeh, BZ, van Amelsvoort, T, Arranz, MJ, Bender, S, Cahn, W, Calafato, MS, Crespo-Facorro, B, Di Forti, M, Giegling, I, de Haan, L, Hall, J, Hall, MH, van Haren, N, Iyegbe, C, Kahn, RS, Kravariti, E, Lawrie, SM, Lin, K, Luykx, JJ, Mata, I, McDonald, C, McIntosh, AM, Murray, RM, Picchioni, M, Powell, J, Prata, DP, Rujescu, D, Rutten, BPF, Shaikh, M, Simons, CJP, Toulopoulou, T, Weisbrod, M, van Winkel, R, Kuchenbaecker, K, McQuillin, A, Bramon, E, Wang, BH, Irizar, H, Thygesen, JH, Zartaloudi, E, Austin-Zimmerman, I, Bhat, A, Harju-Seppaenen, J, Pain, O, Bass, N, Gkofa, V, Alizadeh, BZ, van Amelsvoort, T, Arranz, MJ, Bender, S, Cahn, W, Calafato, MS, Crespo-Facorro, B, Di Forti, M, Giegling, I, de Haan, L, Hall, J, Hall, MH, van Haren, N, Iyegbe, C, Kahn, RS, Kravariti, E, Lawrie, SM, Lin, K, Luykx, JJ, Mata, I, McDonald, C, McIntosh, AM, Murray, RM, Picchioni, M, Powell, J, Prata, DP, Rujescu, D, Rutten, BPF, Shaikh, M, Simons, CJP, Toulopoulou, T, Weisbrod, M, van Winkel, R, Kuchenbaecker, K, McQuillin, A, and Bramon, E
Abstract: Background and Hypothesis: Endophenotypes can help to bridge the gap between psychosis and its genetic predispositions, but their underlying mechanisms remain largely unknown. This study aims to identify biological mechanisms that are relevant to the endophenotypes for psychosis, by partitioning polygenic risk scores into specific gene sets and testing their associations with endophenotypes. Study Design: We computed polygenic risk scores for schizophrenia and bipolar disorder restricted to brain-related gene sets retrieved from public databases and previous publications. Three hundred and seventy-eight gene-set-specific polygenic risk scores were generated for 4506 participants. Seven endophenotypes were also measured in the sample. Linear mixed-effects models were fitted to test associations between each endophenotype and each gene-set-specific polygenic risk score. Study Results: After correction for multiple testing, we found that a reduced P300 amplitude was associated with a higher schizophrenia polygenic risk score of the forebrain regionalization gene set (mean difference per SD increase in the polygenic risk score: −1.15 µV; 95% CI: −1.70 to −0.59 µV; P = 6 × 10−5). The schizophrenia polygenic risk score of forebrain regionalization also explained more variance of the P300 amplitude (R2 = 0.032) than other polygenic risk scores, including the genome-wide polygenic risk scores. Conclusions: Our finding on reduced P300 amplitudes suggests that certain genetic variants alter early brain development thereby increasing schizophrenia risk years later. Gene-set-specific polygenic risk scores are a useful tool to elucidate biological mechanisms of psychosis and endophenotypes, offering leads for experimental validation in cellular and animal models.
Published: 2023

3. Polygenic prediction of major depressive disorder and related traits in African ancestries UK Biobank participants

Author: Kanjira, S. C., Adams, M. J., Jiang, Y., Tian, C., Lewis, C. M., Kuchenbaecker, K., and McIntosh, A. M.
Abstract: Genome-Wide Association Studies (GWAS) over-represent European ancestries, neglecting all other ancestry groups and low-income nations. Consequently, polygenic risk scores (PRS) more accurately predict complex traits in Europeans than African Ancestries groups. Very few studies have looked at the transferability of European-derived PRS for behavioural and mental health phenotypes to Africans. We assessed the comparative accuracy of depression PRS trained on European and African Ancestries GWAS studies to predict major depressive disorder (MDD) and related traits in African ancestry participants from the UK Biobank. UK Biobank participants were selected based on Principal component analysis clustering with an African genetic similarity reference population, MDD was assessed with the Composite International Diagnostic Interview (CIDI). PRS were computed using PRSice2 software using either European or African Ancestries GWAS summary statistics. PRS trained on European ancestry samples (246,363 cases) predicted case control status in Africans of the UK Biobank with similar accuracies (R2 = 2%, β = 0.32, empirical p-value = 0.002) to PRS trained on far much smaller samples of African Ancestries participants from 23andMe, Inc. (5045 cases, R² = 1.8%, β = 0.28, empirical p-value = 0.008). This suggests that prediction of MDD status from Africans to Africans had greater efficiency relative to discovery sample size than prediction of MDD from Europeans to Africans. Prediction of MDD status in African UK Biobank participants using GWAS findings of likely causal risk factors from European ancestries was non-significant. GWAS of MDD in European ancestries are inefficient for improving polygenic prediction in African samples; urgent MDD studies in Africa are needed.
Published: 2024
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4. Transferability of genetic loci and polygenic scores for cardiometabolic traits in British Pakistani and Bangladeshi individuals

Author: Huang, QQ, Sallah, N, Dunca, D, Trivedi, B, Hunt, KA, Hodgson, S, Lambert, SA, Arciero, E, Wright, J, Griffiths, C, Trembath, RC, Hemingway, H, Inouye, M, Finer, S, van Heel, DA, Lumbers, RT, Martin, HC, Kuchenbaecker, K, Huang, QQ, Sallah, N, Dunca, D, Trivedi, B, Hunt, KA, Hodgson, S, Lambert, SA, Arciero, E, Wright, J, Griffiths, C, Trembath, RC, Hemingway, H, Inouye, M, Finer, S, van Heel, DA, Lumbers, RT, Martin, HC, and Kuchenbaecker, K
Abstract: Individuals with South Asian ancestry have a higher risk of heart disease than other groups but have been largely excluded from genetic research. Using data from 22,000 British Pakistani and Bangladeshi individuals with linked electronic health records from the Genes & Health cohort, we conducted genome-wide association studies of coronary artery disease and its key risk factors. Using power-adjusted transferability ratios, we found evidence for transferability for the majority of cardiometabolic loci powered to replicate. The performance of polygenic scores was high for lipids and blood pressure, but lower for BMI and coronary artery disease. Adding a polygenic score for coronary artery disease to clinical risk factors showed significant improvement in reclassification. In Mendelian randomisation using transferable loci as instruments, our findings were consistent with results in European-ancestry individuals. Taken together, trait-specific transferability of trait loci between populations is an important consideration with implications for risk prediction and causal inference.
Published: 2022

5. The genetic architecture of depression in samples with East Asian ancestry

Author: Giannakopoulou, O., Lin, K., Meng, X., Su, M., Kuo, P., Peterson, R., Awasthi, S., Moscati, A., Coleman, J., Bass, N., Millwood, I., Chen, Y., Chen, Z., Li, L., Chen, H., Lu, M., Huang, M., Chen, C., Stahl, E., Loos, R., Mullins, N., Ursano, R., Kessler, R., Stein, M., Sen, S., Scott, L., Burmeister, M., Fang, Y., Tyrrell, J., Jiang, Y., Tian, C., McIntosh, A., Ripke, S., Dunn, E., Kendler, K., Walters, R., Lewis, C., Kuchenbaecker, K., Research Team, T, and Major Depressive Disorder Working Group of the PGC, T
Subjects: RC0321, BF, RC
Abstract: Importance: Most previous genome-wide association studies (GWAS) of depression have used data from individuals of European (EUR) descent. This limits our understanding of the underlying biology of depression and raises questions about the transferability of findings between populations.\ud Objectives: to investigate the genetics of depression across East Asian and European cultural contexts and outcome definitions.\ud Design: Genome-wide association studies, followed by meta-analysis. \ud Setting: Nine cohort and case-control studies from China, Taiwan, USA and UK. \ud Participants: 15,771 depression cases and 178,777 controls of East Asian descent (EAS). \ud Exposures: Associations of genetic variants with depression risk were assessed using generalised linear mixed models and logistic regression. The results were combined across studies using fixed effects meta-analyses. These were subsequently also meta-analysed with the largest published GWAS for depression in EUR samples. Additional meta-analyses were carried out separately by outcome definition (clinical vs symptom-based) and region (East Asian countries vs Western countries). \ud Main outcomes and measures: Depression status was defined based on health records and self-report questionnaires.\ud Results: In total we identified five novel associations, including one in the EAS meta-analysis for broad depression: rs4656484 (beta=-0.018, SE=0.003, P=4.43x10-8) at 1q24.1. Another locus at 7p21.2 was associated in a meta-analysis restricted to geographically East Asian studies (P=5.03x10-9). Both associations were specific to EAS samples (P=0.53 and P=0.28 in EUR, respectively). Only 11% of depression loci previously identified in EUR reached nominal significance levels in the EAS samples. The trans-ancestry genetic correlation estimates with depression in EUR ranged from 0.223 to 0.558, depending on the outcome definition. Clinical depression risk was negatively genetically correlated with BMI in EAS (rg=-0.212), contrary to findings from EUR samples.\ud Conclusions and relevance: Our results suggest that cultural differences further add to the heterogeneity of depression and thereby impact on the genetic architecture. This cautions against generalising findings about depression risk factors across populations and highlights the need to increase the ancestral and geographic diversity of samples with consistent phenotyping.
Published: 2021

6. Shared heritability and functional enrichment across six solid cancers

Author: Jiang, X. (Xia), Finucane, H. K. (Hilary K.), Schumacher, F. R. (Fredrick R.), Schmit, S. L. (Stephanie L.), Tyrer, J. P. (Jonathan P.), Han, Y. (Younghun), Michailidou, K. (Kyriaki), Lesseur, C. (Corina), Kuchenbaecker, K. B. (Karoline B.), Dennis, J. (Joe), Conti, D. V. (David V.), Casey, G. (Graham), Gaudet, M. M. (Mia M.), Huyghe, J. R. (Jeroen R.), Albanes, D. (Demetrius), Aldrich, M. C. (Melinda C.), Andrew, A. S. (Angeline S.), Andrulis, I. L. (Irene L.), Anton-Culver, H. (Hoda), Antoniou, A. C. (Antonis C.), Antonenkova, N. N. (Natalia N.), Arnold, S. M. (Susanne M.), Aronson, K. J. (Kristan J.), Arun, B. K. (Banu K.), Bandera, E. V. (Elisa V.), Barkardottir, R. B. (Rosa B.), Barnes, D. R. (Daniel R.), Batra, J. (Jyotsna), Beckmann, M. W. (Matthias W.), Benitez, J. (Javier), Benlloch, S. (Sara), Berchuck, A. (Andrew), Berndt, S. I. (Sonja I.), Bickeboeller, H. (Heike), Bien, S. A. (Stephanie A.), Blomqvist, C. (Carl), Boccia, S. (Stefania), Bogdanova, N. V. (Natalia V.), Bojesen, S. E. (Stig E.), Bolla, M. K. (Manjeet K.), Brauch, H. (Hiltrud), Brenner, H. (Hermann), Brenton, J. D. (James D.), Brook, M. N. (Mark N.), Brunet, J. (Joan), Brunnstrom, H. (Hans), Buchanan, D. D. (Daniel D.), Burwinkel, B. (Barbara), Butzow, R. (Ralf), Cadoni, G. (Gabriella), Caldes, T. (Trinidad), Caligo, M. A. (Maria A.), Campbell, I. (Ian), Campbell, P. T. (Peter T.), Cancel-Tassin, G. (Geraldine), Cannon-Albright, L. (Lisa), Campa, D. (Daniele), Caporaso, N. (Neil), Carvalho, A. L. (Andre L.), Chan, A. T. (Andrew T.), Chang-Claude, J. (Jenny), Chanock, S. J. (Stephen J.), Chen, C. (Chu), Christiani, D. C. (David C.), Claes, K. B. (Kathleen B. M.), Claessens, F. (Frank), Clements, J. (Judith), Collee, J. M. (J. Margriet), Correa, M. C. (Marcia Cruz), Couch, F. J. (Fergus J.), Cox, A. (Angela), Cunningham, J. M. (Julie M.), Cybulski, C. (Cezary), Czene, K. (Kamila), Daly, M. B. (Mary B.), defazio, A. (Anna), Devilee, P. (Peter), Diez, O. (Orland), Gago-Dominguez, M. (Manuela), Donovan, J. L. (Jenny L.), Doerk, T. (Thilo), Duell, E. J. (Eric J.), Dunning, A. M. (Alison M.), Dwek, M. (Miriam), Eccles, D. M. (Diana M.), Edlund, C. K. (Christopher K.), Edwards, D. R. (Digna R. Velez), Ellberg, C. (Carolina), Evans, D. G. (D. Gareth), Fasching, P. A. (Peter A.), Ferris, R. L. (Robert L.), Liloglou, T. (Triantafillos), Figueiredo, J. C. (Jane C.), Fletcher, O. (Olivia), Fortner, R. T. (Renee T.), Fostira, F. (Florentia), Franceschi, S. (Silvia), Friedman, E. (Eitan), Gallinger, S. J. (Steven J.), Ganz, P. A. (Patricia A.), Garber, J. (Judy), Garcia-Saenz, J. A. (Jose A.), Gayther, S. A. (Simon A.), Giles, G. G. (Graham G.), Godwin, A. K. (Andrew K.), Goldberg, M. S. (Mark S.), Goldgar, D. E. (David E.), Goode, E. L. (Ellen L.), Goodman, M. T. (Marc T.), Goodman, G. (Gary), Grankvist, K. (Kjell), Greene, M. H. (Mark H.), Gronberg, H. (Henrik), Gronwald, J. (Jacek), Guenel, P. (Pascal), Hakansson, N. (Niclas), Hall, P. (Per), Hamann, U. (Ute), Hamdy, F. C. (Freddie C.), Hamilton, R. J. (Robert J.), Hampe, J. (Jochen), Haugen, A. (Aage), Heitz, F. (Florian), Herrero, R. (Rolando), Hillemanns, P. (Peter), Hoffmeister, M. (Michael), Hogdall, E. (Estrid), Hong, Y.-C. (Yun-Chul), Hopper, J. L. (John L.), Houlston, R. (Richard), Hulick, P. J. (Peter J.), Hunter, D. J. (David J.), Huntsman, D. G. (David G.), Idos, G. (Gregory), Imyanitov, E. N. (Evgeny N.), Ingles, S. A. (Sue Ann), Isaacs, C. (Claudine), Jakubowska, A. (Anna), James, P. (Paul), Jenkins, M. A. (Mark A.), Johansson, M. (Mattias), Johansson, M. (Mikael), John, E. M. (Esther M.), Joshi, A. D. (Amit D.), Kaneva, R. (Radka), Karlan, B. Y. (Beth Y.), Kelemen, L. E. (Linda E.), Kuhl, T. (Tabea), Khaw, K.-T. (Kay-Tee), Khusnutdinova, E. (Elza), Kibel, A. S. (Adam S.), Kiemeney, L. A. (Lambertus A.), Kim, J. (Jeri), Kjaer, S. K. (Susanne K.), Knight, J. A. (Julia A.), Kogevinas, M. (Manolis), Kote-Jarai, Z. (Zsofia), Koutros, S. (Stella), Kristensen, V. N. (Vessela N.), Kupryjanczyk, J. (Jolanta), Lacko, M. (Martin), Lam, S. (Stephan), Lambrechts, D. (Diether), Landi, M. T. (Maria Teresa), Lazarus, P. (Philip), Le, N. D. (Nhu D.), Lee, E. (Eunjung), Lejbkowicz, F. (Flavio), Lenz, H.-J. (Heinz-Josef), Leslie, G. (Goska), Lessel, D. (Davor), Lester, J. (Jenny), Levine, D. A. (Douglas A.), Li, L. (Li), Li, C. I. (Christopher I.), Lindblom, A. (Annika), Lindor, N. M. (Noralane M.), Liu, G. (Geoffrey), Loupakis, F. (Fotios), Lubinski, J. (Jan), Maehle, L. (Lovise), Maier, C. (Christiane), Mannermaa, A. (Arto), Le Marchand, L. (Loic), Margolin, S. (Sara), May, T. (Taymaa), McGuffog, L. (Lesley), Meindl, A. (Alfons), Middha, P. (Pooja), Miller, A. (Austin), Milne, R. L. (Roger L.), MacInnis, R. J. (Robert J.), Modugno, F. (Francesmary), Montagna, M. (Marco), Moreno, V. (Victor), Moysich, K. B. (Kirsten B.), Mucci, L. (Lorelei), Muir, K. (Kenneth), Mulligan, A. M. (Anna Marie), Nathanson, K. L. (Katherine L.), Neal, D. E. (David E.), Ness, A. R. (Andrew R.), Neuhausen, S. L. (Susan L.), Nevanlinna, H. (Heli), Newcomb, P. A. (Polly A.), Newcomb, L. F. (Lisa F.), Nielsen, F. C. (Finn Cilius), Nikitina-Zake, L. (Liene), Nordestgaard, B. G. (Borge G.), Nussbaum, R. L. (Robert L.), Offit, K. (Kenneth), Olah, E. (Edith), Al Olama, A. A. (Ali Amin), Olopade, O. I. (Olufunmilayo I.), Olshan, A. F. (Andrew F.), Olsson, H. (Hakan), Osorio, A. (Ana), Pandha, H. (Hardev), Park, J. Y. (Jong Y.), Pashayan, N. (Nora), Parsons, M. T. (Michael T.), Pejovic, T. (Tanja), Penney, K. L. (Kathryn L.), Peters, W. H. (Wilbert H. M.), Phelan, C. M. (Catherine M.), Phipps, A. I. (Amanda I.), Plaseska-Karanfilska, D. (Dijana), Pring, M. (Miranda), Prokofyeva, D. (Darya), Radice, P. (Paolo), Stefansson, K. (Kari), Ramus, S. J. (Susan J.), Raskin, L. (Leon), Rennert, G. (Gad), Rennert, H. S. (Hedy S.), van Rensburg, E. J. (Elizabeth J.), Riggan, M. J. (Marjorie J.), Risch, H. A. (Harvey A.), Risch, A. (Angela), Roobol, M. J. (Monique J.), Rosenstein, B. S. (Barry S.), Rossing, M. A. (Mary Anne), De Ruyck, K. (Kim), Saloustros, E. (Emmanouil), Sandler, D. P. (Dale P.), Sawyer, E. J. (Elinor J.), Schabath, M. B. (Matthew B.), Schleutker, J. (Johanna), Schmidt, M. K. (Marjanka K.), Setiawan, V. W. (V. Wendy), Shen, H. (Hongbing), Siegel, E. M. (Erin M.), Sieh, W. (Weiva), Singer, C. F. (Christian F.), Slattery, M. L. (Martha L.), Sorensen, K. D. (Karina Dalsgaard), Southey, M. C. (Melissa C.), Spurdle, A. B. (Amanda B.), Stanford, J. L. (Janet L.), Stevens, V. L. (Victoria L.), Stintzing, S. (Sebastian), Stone, J. (Jennifer), Sundfeldt, K. (Karin), Sutphen, R. (Rebecca), Swerdlow, A. J. (Anthony J.), Tajara, E. H. (Eloiza H.), Tangen, C. M. (Catherine M.), Tardon, A. (Adonina), Taylor, J. A. (Jack A.), Teare, M. D. (M. Dawn), Teixeira, M. R. (Manuel R.), Terry, M. B. (Mary Beth), Terry, K. L. (Kathryn L.), Thibodeau, S. N. (Stephen N.), Thomassen, M. (Mads), Bjorge, L. (Line), Tischkowitz, M. (Marc), Toland, A. E. (Amanda E.), Torres, D. (Diana), Townsend, P. A. (Paul A.), Travis, R. C. (Ruth C.), Tung, N. (Nadine), Tworoger, S. S. (Shelley S.), Ulrich, C. M. (Cornelia M.), Usmani, N. (Nawaid), Vachon, C. M. (Celine M.), Van Nieuwenhuysen, E. (Els), Vega, A. (Ana), Aguado-Barrera, M. E. (Miguel Elias), Wang, Q. (Qin), Webb, P. M. (Penelope M.), Weinberg, C. R. (Clarice R.), Weinstein, S. (Stephanie), Weissler, M. C. (Mark C.), Weitzel, J. N. (Jeffrey N.), West, C. M. (Catharine M. L.), White, E. (Emily), Whittemore, A. S. (Alice S.), Wichmann, H.-E. (H-Erich), Wiklund, F. (Fredrik), Winqvist, R. (Robert), Wolk, A. (Alicja), Woll, P. (Penella), Woods, M. (Michael), Wu, A. H. (Anna H.), Wu, X. (Xifeng), Yannoukakos, D. (Drakoulis), Zheng, W. (Wei), Zienolddiny, S. (Shanbeh), Ziogas, A. (Argyrios), Zorn, K. K. (Kristin K.), Lane, J. M. (Jacqueline M.), Saxena, R. (Richa), Thomas, D. (Duncan), Hung, R. J. (Rayjean J.), Diergaarde, B. (Brenda), Mckay, J. (James), Peters, U. (Ulrike), Hsu, L. (Li), Garcia-Closas, M. (Montserrat), Eeles, R. A. (Rosalind A.), Chenevix-Trench, G. (Georgia), Brennan, P. J. (Paul J.), Haiman, C. A. (Christopher A.), Simard, J. (Jacques), Easton, D. F. (Douglas F.), Gruber, S. B. (Stephen B.), Pharoah, P. D. (Paul D. P.), Price, A. L. (Alkes L.), Pasaniuc, B. (Bogdan), Amos, C. I. (Christopher I.), Kraft, P. (Peter), Lindstrom, S. (Sara), Jiang, X. (Xia), Finucane, H. K. (Hilary K.), Schumacher, F. R. (Fredrick R.), Schmit, S. L. (Stephanie L.), Tyrer, J. P. (Jonathan P.), Han, Y. (Younghun), Michailidou, K. (Kyriaki), Lesseur, C. (Corina), Kuchenbaecker, K. B. (Karoline B.), Dennis, J. (Joe), Conti, D. V. (David V.), Casey, G. (Graham), Gaudet, M. M. (Mia M.), Huyghe, J. R. (Jeroen R.), Albanes, D. (Demetrius), Aldrich, M. C. (Melinda C.), Andrew, A. S. (Angeline S.), Andrulis, I. L. (Irene L.), Anton-Culver, H. (Hoda), Antoniou, A. C. (Antonis C.), Antonenkova, N. N. (Natalia N.), Arnold, S. M. (Susanne M.), Aronson, K. J. (Kristan J.), Arun, B. K. (Banu K.), Bandera, E. V. (Elisa V.), Barkardottir, R. B. (Rosa B.), Barnes, D. R. (Daniel R.), Batra, J. (Jyotsna), Beckmann, M. W. (Matthias W.), Benitez, J. (Javier), Benlloch, S. (Sara), Berchuck, A. (Andrew), Berndt, S. I. (Sonja I.), Bickeboeller, H. (Heike), Bien, S. A. (Stephanie A.), Blomqvist, C. (Carl), Boccia, S. (Stefania), Bogdanova, N. V. (Natalia V.), Bojesen, S. E. (Stig E.), Bolla, M. K. (Manjeet K.), Brauch, H. (Hiltrud), Brenner, H. (Hermann), Brenton, J. D. (James D.), Brook, M. N. (Mark N.), Brunet, J. (Joan), Brunnstrom, H. (Hans), Buchanan, D. D. (Daniel D.), Burwinkel, B. (Barbara), Butzow, R. (Ralf), Cadoni, G. (Gabriella), Caldes, T. (Trinidad), Caligo, M. A. (Maria A.), Campbell, I. (Ian), Campbell, P. T. (Peter T.), Cancel-Tassin, G. (Geraldine), Cannon-Albright, L. (Lisa), Campa, D. (Daniele), Caporaso, N. (Neil), Carvalho, A. L. (Andre L.), Chan, A. T. (Andrew T.), Chang-Claude, J. (Jenny), Chanock, S. J. (Stephen J.), Chen, C. (Chu), Christiani, D. C. (David C.), Claes, K. B. (Kathleen B. M.), Claessens, F. (Frank), Clements, J. (Judith), Collee, J. M. (J. Margriet), Correa, M. C. (Marcia Cruz), Couch, F. J. (Fergus J.), Cox, A. (Angela), Cunningham, J. M. (Julie M.), Cybulski, C. (Cezary), Czene, K. (Kamila), Daly, M. B. (Mary B.), defazio, A. (Anna), Devilee, P. (Peter), Diez, O. (Orland), Gago-Dominguez, M. (Manuela), Donovan, J. L. (Jenny L.), Doerk, T. (Thilo), Duell, E. J. (Eric J.), Dunning, A. M. (Alison M.), Dwek, M. (Miriam), Eccles, D. M. (Diana M.), Edlund, C. K. (Christopher K.), Edwards, D. R. (Digna R. Velez), Ellberg, C. (Carolina), Evans, D. G. (D. Gareth), Fasching, P. A. (Peter A.), Ferris, R. L. (Robert L.), Liloglou, T. (Triantafillos), Figueiredo, J. C. (Jane C.), Fletcher, O. (Olivia), Fortner, R. T. (Renee T.), Fostira, F. (Florentia), Franceschi, S. (Silvia), Friedman, E. (Eitan), Gallinger, S. J. (Steven J.), Ganz, P. A. (Patricia A.), Garber, J. (Judy), Garcia-Saenz, J. A. (Jose A.), Gayther, S. A. (Simon A.), Giles, G. G. (Graham G.), Godwin, A. K. (Andrew K.), Goldberg, M. S. (Mark S.), Goldgar, D. E. (David E.), Goode, E. L. (Ellen L.), Goodman, M. T. (Marc T.), Goodman, G. (Gary), Grankvist, K. (Kjell), Greene, M. H. (Mark H.), Gronberg, H. (Henrik), Gronwald, J. (Jacek), Guenel, P. (Pascal), Hakansson, N. (Niclas), Hall, P. (Per), Hamann, U. (Ute), Hamdy, F. C. (Freddie C.), Hamilton, R. J. (Robert J.), Hampe, J. (Jochen), Haugen, A. (Aage), Heitz, F. (Florian), Herrero, R. (Rolando), Hillemanns, P. (Peter), Hoffmeister, M. (Michael), Hogdall, E. (Estrid), Hong, Y.-C. (Yun-Chul), Hopper, J. L. (John L.), Houlston, R. (Richard), Hulick, P. J. (Peter J.), Hunter, D. J. (David J.), Huntsman, D. G. (David G.), Idos, G. (Gregory), Imyanitov, E. N. (Evgeny N.), Ingles, S. A. (Sue Ann), Isaacs, C. (Claudine), Jakubowska, A. (Anna), James, P. (Paul), Jenkins, M. A. (Mark A.), Johansson, M. (Mattias), Johansson, M. (Mikael), John, E. M. (Esther M.), Joshi, A. D. (Amit D.), Kaneva, R. (Radka), Karlan, B. Y. (Beth Y.), Kelemen, L. E. (Linda E.), Kuhl, T. (Tabea), Khaw, K.-T. (Kay-Tee), Khusnutdinova, E. (Elza), Kibel, A. S. (Adam S.), Kiemeney, L. A. (Lambertus A.), Kim, J. (Jeri), Kjaer, S. K. (Susanne K.), Knight, J. A. (Julia A.), Kogevinas, M. (Manolis), Kote-Jarai, Z. (Zsofia), Koutros, S. (Stella), Kristensen, V. N. (Vessela N.), Kupryjanczyk, J. (Jolanta), Lacko, M. (Martin), Lam, S. (Stephan), Lambrechts, D. (Diether), Landi, M. T. (Maria Teresa), Lazarus, P. (Philip), Le, N. D. (Nhu D.), Lee, E. (Eunjung), Lejbkowicz, F. (Flavio), Lenz, H.-J. (Heinz-Josef), Leslie, G. (Goska), Lessel, D. (Davor), Lester, J. (Jenny), Levine, D. A. (Douglas A.), Li, L. (Li), Li, C. I. (Christopher I.), Lindblom, A. (Annika), Lindor, N. M. (Noralane M.), Liu, G. (Geoffrey), Loupakis, F. (Fotios), Lubinski, J. (Jan), Maehle, L. (Lovise), Maier, C. (Christiane), Mannermaa, A. (Arto), Le Marchand, L. (Loic), Margolin, S. (Sara), May, T. (Taymaa), McGuffog, L. (Lesley), Meindl, A. (Alfons), Middha, P. (Pooja), Miller, A. (Austin), Milne, R. L. (Roger L.), MacInnis, R. J. (Robert J.), Modugno, F. (Francesmary), Montagna, M. (Marco), Moreno, V. (Victor), Moysich, K. B. (Kirsten B.), Mucci, L. (Lorelei), Muir, K. (Kenneth), Mulligan, A. M. (Anna Marie), Nathanson, K. L. (Katherine L.), Neal, D. E. (David E.), Ness, A. R. (Andrew R.), Neuhausen, S. L. (Susan L.), Nevanlinna, H. (Heli), Newcomb, P. A. (Polly A.), Newcomb, L. F. (Lisa F.), Nielsen, F. C. (Finn Cilius), Nikitina-Zake, L. (Liene), Nordestgaard, B. G. (Borge G.), Nussbaum, R. L. (Robert L.), Offit, K. (Kenneth), Olah, E. (Edith), Al Olama, A. A. (Ali Amin), Olopade, O. I. (Olufunmilayo I.), Olshan, A. F. (Andrew F.), Olsson, H. (Hakan), Osorio, A. (Ana), Pandha, H. (Hardev), Park, J. Y. (Jong Y.), Pashayan, N. (Nora), Parsons, M. T. (Michael T.), Pejovic, T. (Tanja), Penney, K. L. (Kathryn L.), Peters, W. H. (Wilbert H. M.), Phelan, C. M. (Catherine M.), Phipps, A. I. (Amanda I.), Plaseska-Karanfilska, D. (Dijana), Pring, M. (Miranda), Prokofyeva, D. (Darya), Radice, P. (Paolo), Stefansson, K. (Kari), Ramus, S. J. (Susan J.), Raskin, L. (Leon), Rennert, G. (Gad), Rennert, H. S. (Hedy S.), van Rensburg, E. J. (Elizabeth J.), Riggan, M. J. (Marjorie J.), Risch, H. A. (Harvey A.), Risch, A. (Angela), Roobol, M. J. (Monique J.), Rosenstein, B. S. (Barry S.), Rossing, M. A. (Mary Anne), De Ruyck, K. (Kim), Saloustros, E. (Emmanouil), Sandler, D. P. (Dale P.), Sawyer, E. J. (Elinor J.), Schabath, M. B. (Matthew B.), Schleutker, J. (Johanna), Schmidt, M. K. (Marjanka K.), Setiawan, V. W. (V. Wendy), Shen, H. (Hongbing), Siegel, E. M. (Erin M.), Sieh, W. (Weiva), Singer, C. F. (Christian F.), Slattery, M. L. (Martha L.), Sorensen, K. D. (Karina Dalsgaard), Southey, M. C. (Melissa C.), Spurdle, A. B. (Amanda B.), Stanford, J. L. (Janet L.), Stevens, V. L. (Victoria L.), Stintzing, S. (Sebastian), Stone, J. (Jennifer), Sundfeldt, K. (Karin), Sutphen, R. (Rebecca), Swerdlow, A. J. (Anthony J.), Tajara, E. H. (Eloiza H.), Tangen, C. M. (Catherine M.), Tardon, A. (Adonina), Taylor, J. A. (Jack A.), Teare, M. D. (M. Dawn), Teixeira, M. R. (Manuel R.), Terry, M. B. (Mary Beth), Terry, K. L. (Kathryn L.), Thibodeau, S. N. (Stephen N.), Thomassen, M. (Mads), Bjorge, L. (Line), Tischkowitz, M. (Marc), Toland, A. E. (Amanda E.), Torres, D. (Diana), Townsend, P. A. (Paul A.), Travis, R. C. (Ruth C.), Tung, N. (Nadine), Tworoger, S. S. (Shelley S.), Ulrich, C. M. (Cornelia M.), Usmani, N. (Nawaid), Vachon, C. M. (Celine M.), Van Nieuwenhuysen, E. (Els), Vega, A. (Ana), Aguado-Barrera, M. E. (Miguel Elias), Wang, Q. (Qin), Webb, P. M. (Penelope M.), Weinberg, C. R. (Clarice R.), Weinstein, S. (Stephanie), Weissler, M. C. (Mark C.), Weitzel, J. N. (Jeffrey N.), West, C. M. (Catharine M. L.), White, E. (Emily), Whittemore, A. S. (Alice S.), Wichmann, H.-E. (H-Erich), Wiklund, F. (Fredrik), Winqvist, R. (Robert), Wolk, A. (Alicja), Woll, P. (Penella), Woods, M. (Michael), Wu, A. H. (Anna H.), Wu, X. (Xifeng), Yannoukakos, D. (Drakoulis), Zheng, W. (Wei), Zienolddiny, S. (Shanbeh), Ziogas, A. (Argyrios), Zorn, K. K. (Kristin K.), Lane, J. M. (Jacqueline M.), Saxena, R. (Richa), Thomas, D. (Duncan), Hung, R. J. (Rayjean J.), Diergaarde, B. (Brenda), Mckay, J. (James), Peters, U. (Ulrike), Hsu, L. (Li), Garcia-Closas, M. (Montserrat), Eeles, R. A. (Rosalind A.), Chenevix-Trench, G. (Georgia), Brennan, P. J. (Paul J.), Haiman, C. A. (Christopher A.), Simard, J. (Jacques), Easton, D. F. (Douglas F.), Gruber, S. B. (Stephen B.), Pharoah, P. D. (Paul D. P.), Price, A. L. (Alkes L.), Pasaniuc, B. (Bogdan), Amos, C. I. (Christopher I.), Kraft, P. (Peter), and Lindstrom, S. (Sara)
Abstract: Quantifying the genetic correlation between cancers can provide important insights into the mechanisms driving cancer etiology. Using genome-wide association study summary statistics across six cancer types based on a total of 296,215 cases and 301,319 controls of European ancestry, here we estimate the pair-wise genetic correlations between breast, colorectal, head/neck, lung, ovary and prostate cancer, and between cancers and 38 other diseases. We observed statistically significant genetic correlations between lung and head/neck cancer (rg = 0.57, p = 4.6 × 10−8), breast and ovarian cancer (rg = 0.24, p = 7 × 10−5), breast and lung cancer (rg = 0.18, p =1.5 × 10−6) and breast and colorectal cancer (rg = 0.15, p = 1.1 × 10−4). We also found that multiple cancers are genetically correlated with non-cancer traits including smoking, psychiatric diseases and metabolic characteristics. Functional enrichment analysis revealed a significant excess contribution of conserved and regulatory regions to cancer heritability. Our comprehensive analysis of cross-cancer heritability suggests that solid tumors arising across tissues share in part a common germline genetic basis.
Published: 2019

7. Publisher Correction: Shared heritability and functional enrichment across six solid cancers (Nature Communications, (2019), 10, 1, (431), 10.1038/s41467-018-08054-4)

Author: Jiang, X., Finucane, H. K., Schumacher, F. R., Schmit, S. L., Tyrer, J. P., Han, Y., Michailidou, K., Lesseur, C., Kuchenbaecker, K. B., Dennis, J., Conti, D. V., Casey, G., Gaudet, M. M., Huyghe, J. R., Albanes, D., Aldrich, M. C., Andrew, A. S., Andrulis, I. L., Anton-Culver, H., Antoniou, A. C., Antonenkova, N. N., Arnold, S. M., Aronson, K. J., Arun, B. K., Bandera, E. V., Barkardottir, R. B., Barnes, D. R., Batra, J., Beckmann, M. W., Benitez, J., Benlloch, S., Berchuck, A., Berndt, S. I., Bickeboller, H., Bien, S. A., Blomqvist, C., Boccia, S., Bogdanova, N. V., Bojesen, S. E., Bolla, M. K., Brauch, H., Brenner, H., Brenton, J. D., Brook, M. N., Brunet, J., Brunnstrom, H., Buchanan, D. D., Burwinkel, B., Butzow, R., Cadoni, G., Caldes, T., Caligo, M. A., Campbell, I., Campbell, P. T., Cancel-Tassin, G., Cannon-Albright, L., Campa, D., Caporaso, N., Carvalho, A. L., Chan, A. T., Chang-Claude, J., Chanock, S. J., Chen, Chen, Christiani, D. C., Claes, K. B. M., Claessens, F., Clements, J., Collee, J. M., Correa, M. C., Couch, F. J., Cox, A., Cunningham, J. M., Cybulski, C., Czene, K., Daly, M. B., deFazio, A., Devilee, P., Diez, O., Gago-Dominguez, M., Donovan, J. L., Dork, T., Duell, E. J., Dunning, A. M., Dwek, M., Eccles, D. M., Edlund, C. K., Edwards, D. R. V., Ellberg, C., Evans, D. G., Fasching, P. A., Ferris, R. L., Liloglou, T., Figueiredo, J. C., Fletcher, O., Fortner, R. T., Fostira, F., Franceschi, S., Friedman, E., Gallinger, S. J., Ganz, P. A., Garber, J., Garcia-Saenz, J. A., Gayther, S. A., Giles, G. G., Godwin, A. K., Goldberg, M. S., Goldgar, D. E., Goode, E. L., Goodman, M. T., Goodman, G., Grankvist, K., Greene, M. H., Gronberg, H., Gronwald, J., Guenel, P., Hakansson, N., Hall, P., Hamann, U., Hamdy, F. C., Hamilton, R. J., Hampe, J., Haugen, A., Heitz, F., Herrero, R., Hillemanns, P., Hoffmeister, M., Hogdall, E., Hong, Y. -C., Hopper, J. L., Houlston, R., Hulick, P. J., Hunter, D. J., Huntsman, D. G., Idos, G., Imyanitov, E. N., Ingles, S. A., Isaacs, C., Jakubowska, A., James, P., Jenkins, M. A., Johansson, M., John, E. M., Joshi, A. D., Kaneva, R., Karlan, B. Y., Kelemen, L. E., Kuhl, T., Khaw, K. -T., Khusnutdinova, E., Kibel, A. S., Kiemeney, L. A., Kim, J., Kjaer, S. K., Knight, J. A., Kogevinas, M., Kote-Jarai, Z., Koutros, S., Kristensen, V. N., Kupryjanczyk, J., Lacko, M., Lam, S., Lambrechts, D., Landi, M. T., Lazarus, P., Le, N. D., Lee, E., Lejbkowicz, F., Lenz, H. -J., Leslie, G., Lessel, D., Lester, J., Levine, D. A., Li, L., Li, C. I., Lindblom, A., Lindor, N. M., Liu, G., Loupakis, F., Lubinski, J., Maehle, L., Maier, C., Mannermaa, A., Marchand, L. L., Margolin, S., May, T., McGuffog, L., Meindl, A., Middha, P., Miller, A., Milne, R. L., MacInnis, R. J., Modugno, F., Montagna, M., Moreno, V., Moysich, K. B., Mucci, L., Muir, K., Mulligan, A. M., Nathanson, K. L., Neal, D. E., Ness, A. R., Neuhausen, S. L., Nevanlinna, H., Newcomb, P. A., Newcomb, L. F., Nielsen, F. C., Nikitina-Zake, L., Nordestgaard, B. G., Nussbaum, R. L., Offit, K., Olah, E., Olama, A. A. A., Olopade, O. I., Olshan, A. F., Olsson, H., Osorio, A., Pandha, H., Park, J. Y., Pashayan, N., Parsons, M. T., Pejovic, T., Penney, K. L., Peters, W. H. M., Phelan, C. M., Phipps, A. I., Plaseska-Karanfilska, D., Pring, M., Prokofyeva, D., Radice, P., Stefansson, K., Ramus, S. J., Raskin, L., Rennert, G., Rennert, H. S., van Rensburg, E. J., Riggan, M. J., Risch, H. A., Risch, A., Roobol, M. J., Rosenstein, B. S., Rossing, M. A., De Ruyck, K., Saloustros, E., Sandler, D. P., Sawyer, E. J., Schabath, M. B., Schleutker, J., Schmidt, M. K., Setiawan, V. W., Shen, H., Siegel, E. M., Sieh, W., Singer, C. F., Slattery, M. L., Sorensen, K. D., Southey, M. C., Spurdle, A. B., Stanford, J. L., Stevens, V. L., Stintzing, S., Stone, J., Sundfeldt, K., Sutphen, R., Swerdlow, A. J., Tajara, E. H., Tangen, C. M., Tardon, A., Taylor, J. A., Teare, M. D., Teixeira, M. R., Terry, M. B., Terry, K. L., Thibodeau, S. N., Thomassen, M., Bjorge, L., Tischkowitz, M., Toland, A. E., Torres, D., Townsend, P. A., Travis, R. C., Tung, N., Tworoger, S. S., Ulrich, C. M., Usmani, N., Vachon, C. M., Van Nieuwenhuysen, E., Vega, A., Aguado-Barrera, M. E., Wang, Q., Webb, P. M., Weinberg, C. R., Weinstein, S., Weissler, M. C., Weitzel, J. N., West, C. M. L., White, E., Whittemore, A. S., Wichmann, H. -E., Wiklund, F., Winqvist, R., Wolk, A., Woll, P., Woods, M., Wu, A. H., Wu, X., Yannoukakos, D., Zheng, W., Zienolddiny, S., Ziogas, A., Zorn, K. K., Lane, J. M., Saxena, R., Thomas, D., Hung, R. J., Diergaarde, B., McKay, J., Peters, U., Hsu, L., Garcia-Closas, M., Eeles, R. A., Chenevix-Trench, G., Brennan, P. J., Haiman, C. A., Simard, J., Easton, D. F., Gruber, S. B., Pharoah, P. D. P., Price, A. L., Pasaniuc, B., Amos, C. I., Kraft, P., Lindstrom, S., Boccia S. (ORCID:0000-0002-1864-749X), Cadoni G. (ORCID:0000-0001-8244-784X), Chen C., Liu G., Wang Q., Jiang, X., Finucane, H. K., Schumacher, F. R., Schmit, S. L., Tyrer, J. P., Han, Y., Michailidou, K., Lesseur, C., Kuchenbaecker, K. B., Dennis, J., Conti, D. V., Casey, G., Gaudet, M. M., Huyghe, J. R., Albanes, D., Aldrich, M. C., Andrew, A. S., Andrulis, I. L., Anton-Culver, H., Antoniou, A. C., Antonenkova, N. N., Arnold, S. M., Aronson, K. J., Arun, B. K., Bandera, E. V., Barkardottir, R. B., Barnes, D. R., Batra, J., Beckmann, M. W., Benitez, J., Benlloch, S., Berchuck, A., Berndt, S. I., Bickeboller, H., Bien, S. A., Blomqvist, C., Boccia, S., Bogdanova, N. V., Bojesen, S. E., Bolla, M. K., Brauch, H., Brenner, H., Brenton, J. D., Brook, M. N., Brunet, J., Brunnstrom, H., Buchanan, D. D., Burwinkel, B., Butzow, R., Cadoni, G., Caldes, T., Caligo, M. A., Campbell, I., Campbell, P. T., Cancel-Tassin, G., Cannon-Albright, L., Campa, D., Caporaso, N., Carvalho, A. L., Chan, A. T., Chang-Claude, J., Chanock, S. J., Chen, Chen, Christiani, D. C., Claes, K. B. M., Claessens, F., Clements, J., Collee, J. M., Correa, M. C., Couch, F. J., Cox, A., Cunningham, J. M., Cybulski, C., Czene, K., Daly, M. B., deFazio, A., Devilee, P., Diez, O., Gago-Dominguez, M., Donovan, J. L., Dork, T., Duell, E. J., Dunning, A. M., Dwek, M., Eccles, D. M., Edlund, C. K., Edwards, D. R. V., Ellberg, C., Evans, D. G., Fasching, P. A., Ferris, R. L., Liloglou, T., Figueiredo, J. C., Fletcher, O., Fortner, R. T., Fostira, F., Franceschi, S., Friedman, E., Gallinger, S. J., Ganz, P. A., Garber, J., Garcia-Saenz, J. A., Gayther, S. A., Giles, G. G., Godwin, A. K., Goldberg, M. S., Goldgar, D. E., Goode, E. L., Goodman, M. T., Goodman, G., Grankvist, K., Greene, M. H., Gronberg, H., Gronwald, J., Guenel, P., Hakansson, N., Hall, P., Hamann, U., Hamdy, F. C., Hamilton, R. J., Hampe, J., Haugen, A., Heitz, F., Herrero, R., Hillemanns, P., Hoffmeister, M., Hogdall, E., Hong, Y. -C., Hopper, J. L., Houlston, R., Hulick, P. J., Hunter, D. J., Huntsman, D. G., Idos, G., Imyanitov, E. N., Ingles, S. A., Isaacs, C., Jakubowska, A., James, P., Jenkins, M. A., Johansson, M., John, E. M., Joshi, A. D., Kaneva, R., Karlan, B. Y., Kelemen, L. E., Kuhl, T., Khaw, K. -T., Khusnutdinova, E., Kibel, A. S., Kiemeney, L. A., Kim, J., Kjaer, S. K., Knight, J. A., Kogevinas, M., Kote-Jarai, Z., Koutros, S., Kristensen, V. N., Kupryjanczyk, J., Lacko, M., Lam, S., Lambrechts, D., Landi, M. T., Lazarus, P., Le, N. D., Lee, E., Lejbkowicz, F., Lenz, H. -J., Leslie, G., Lessel, D., Lester, J., Levine, D. A., Li, L., Li, C. I., Lindblom, A., Lindor, N. M., Liu, G., Loupakis, F., Lubinski, J., Maehle, L., Maier, C., Mannermaa, A., Marchand, L. L., Margolin, S., May, T., McGuffog, L., Meindl, A., Middha, P., Miller, A., Milne, R. L., MacInnis, R. J., Modugno, F., Montagna, M., Moreno, V., Moysich, K. B., Mucci, L., Muir, K., Mulligan, A. M., Nathanson, K. L., Neal, D. E., Ness, A. R., Neuhausen, S. L., Nevanlinna, H., Newcomb, P. A., Newcomb, L. F., Nielsen, F. C., Nikitina-Zake, L., Nordestgaard, B. G., Nussbaum, R. L., Offit, K., Olah, E., Olama, A. A. A., Olopade, O. I., Olshan, A. F., Olsson, H., Osorio, A., Pandha, H., Park, J. Y., Pashayan, N., Parsons, M. T., Pejovic, T., Penney, K. L., Peters, W. H. M., Phelan, C. M., Phipps, A. I., Plaseska-Karanfilska, D., Pring, M., Prokofyeva, D., Radice, P., Stefansson, K., Ramus, S. J., Raskin, L., Rennert, G., Rennert, H. S., van Rensburg, E. J., Riggan, M. J., Risch, H. A., Risch, A., Roobol, M. J., Rosenstein, B. S., Rossing, M. A., De Ruyck, K., Saloustros, E., Sandler, D. P., Sawyer, E. J., Schabath, M. B., Schleutker, J., Schmidt, M. K., Setiawan, V. W., Shen, H., Siegel, E. M., Sieh, W., Singer, C. F., Slattery, M. L., Sorensen, K. D., Southey, M. C., Spurdle, A. B., Stanford, J. L., Stevens, V. L., Stintzing, S., Stone, J., Sundfeldt, K., Sutphen, R., Swerdlow, A. J., Tajara, E. H., Tangen, C. M., Tardon, A., Taylor, J. A., Teare, M. D., Teixeira, M. R., Terry, M. B., Terry, K. L., Thibodeau, S. N., Thomassen, M., Bjorge, L., Tischkowitz, M., Toland, A. E., Torres, D., Townsend, P. A., Travis, R. C., Tung, N., Tworoger, S. S., Ulrich, C. M., Usmani, N., Vachon, C. M., Van Nieuwenhuysen, E., Vega, A., Aguado-Barrera, M. E., Wang, Q., Webb, P. M., Weinberg, C. R., Weinstein, S., Weissler, M. C., Weitzel, J. N., West, C. M. L., White, E., Whittemore, A. S., Wichmann, H. -E., Wiklund, F., Winqvist, R., Wolk, A., Woll, P., Woods, M., Wu, A. H., Wu, X., Yannoukakos, D., Zheng, W., Zienolddiny, S., Ziogas, A., Zorn, K. K., Lane, J. M., Saxena, R., Thomas, D., Hung, R. J., Diergaarde, B., McKay, J., Peters, U., Hsu, L., Garcia-Closas, M., Eeles, R. A., Chenevix-Trench, G., Brennan, P. J., Haiman, C. A., Simard, J., Easton, D. F., Gruber, S. B., Pharoah, P. D. P., Price, A. L., Pasaniuc, B., Amos, C. I., Kraft, P., Lindstrom, S., Boccia S. (ORCID:0000-0002-1864-749X), Cadoni G. (ORCID:0000-0001-8244-784X), Chen C., Liu G., and Wang Q.
Abstract: An amendment to this paper has been published and can be accessed via a link at the top of the paper.
Published: 2019

8. Combination therapy as a potential risk factor for the development of type 2 diabetes in patients with schizophrenia: The GOMAP study

Author: Mamakou, V. Hackinger, S. Zengini, E. Tsompanaki, E. Marouli, E. Serafetinidis, I. Prins, B. Karabela, A. Glezou, E. Southam, L. Rayner, N.W. Kuchenbaecker, K. Lamnissou, K. Kontaxakis, V. Dedoussis, G. Gonidakis, F. Thanopoulou, A. Tentolouris, N. Zeggini, E.
Subjects: nutritional and metabolic diseases
Abstract: Background: Schizophrenia (SCZ) is associated with increased risk of type 2 diabetes (T2D). The potential diabetogenic effect of concomitant application of psychotropic treatment classes in patients with SCZ has not yet been evaluated. The overarching goal of the Genetic Overlap between Metabolic and Psychiatric disease (GOMAP) study is to assess the effect of pharmacological, anthropometric, lifestyle and clinical measurements, helping elucidate the mechanisms underlying the aetiology of T2D. Methods: The GOMAP case-control study (Genetic Overlap between Metabolic and Psychiatric disease) includes hospitalized patients with SCZ, some of whom have T2D. We enrolled 1653 patients with SCZ; 611 with T2D and 1042 patients without T2D. This is the first study of SCZ and T2D comorbidity at this scale in the Greek population. We retrieved detailed information on first- and second-generation antipsychotics (FGA, SGA), antidepressants and mood stabilizers, applied as monotherapy, 2-drug combination, or as 3- or more drug combination. We assessed the effects of psychotropic medication, body mass index, duration of schizophrenia, number of hospitalizations and physical activity on risk of T2D. Using logistic regression, we calculated crude and adjusted odds ratios (OR) to identify associations between demographic factors and the psychiatric medications. Results: Patients with SCZ on a combination of at least three different classes of psychiatric drugs had a higher risk of T2D [OR 1.81 (95% CI 1.22-2.69); p=0.003] compared to FGA alone therapy, after adjustment for age, BMI, sex, duration of SCZ and number of hospitalizations. We did not find evidence for an association of SGA use or the combination of drugs belonging to two different classes of psychiatric medications with increased risk of T2D [1.27 (0.84-1.93), p=0.259 and 0.98 (0.71-1.35), p=0.885, respectively] compared to FGA use. Conclusions: We find an increased risk of T2D in patients with SCZ who take a combination of at least three different psychotropic medication classes compared to patients whose medication consists only of one or two classes of drugs. © 2018 The Author(s).
Published: 2018

9. Prediction of Breast and Prostate Cancer Risks in Male BRCA1 and BRCA2 Mutation Carriers Using Polygenic Risk Scores

Author: Lecarpentier, J., Kuchenbaecker, K. B., Barrowdale, D., Dennis, J., Mcguffog, L., Leslie, G., Lee, A., Al Olama, A. A., Tyrer, J. P., Frost, D., Ellis, S., Easton, D. F., Antoniou, A. C., Tischkowitz, M., Evans, D. G., Henderson, A., Brewer, C., Eccles, D., Cook, J., Ong, K. -R., Walker, L., Side, L. E., Hodgson, S., Izatt, L., Eeles, R., Orr, N., Porteous, M. E., Davidson, R., Adlard, J., Silvestri, V., Rizzolo, P., Navazio, A. S., Valentini, V., Zelli, V., Ottini, L., Toss, A., Medici, V., Cortesi, L., Zanna, I., Palli, D., Radice, P., Manoukian, S., Peissel, B., Azzollini, J., Peterlongo, P., Viel, A., Cini, G., Damante, G., Tommasi, S., Alducci, E., Tognazzo, S., Montagna, M., Caligo, M. A., Soucy, P., Simard, J., Mulligan, A. M., Andrulis, I. L., Glendon, G., Southey, M., Campbell, I., James, P., Mitchell, G., Spurdle, A. B., Holland, H., Chenevix-Trench, G., John, E. M., Steele, L., Ding, Y. C., Neuhausen, S. L., Weitzel, J. N., Conner, T. A., Buys, S. S., Goldgar, D. E., Godwin, A. K., Sharma, P., Rebbeck, T. R., Vijai, J., Robson, M., Lincoln, A., Musinsky, J., Gaddam, P., Offit, K., Loud, J. T., Greene, M. H., Toland, A. E., Senter, L., Huo, D., Nielsen, S. M., Olopade, O. I., Nathanson, K. L., Domchek, S. M., Lorenchick, C., Jankowitz, R. C., Couch, F. J., Janavicius, R., Hansen, T. V. O., Bojesen, A., Nielsen, H. R., Skytte, A. -B., Sunde, L., Jensen, U. B., Pedersen, I. S., Krogh, L., Kruse, T. A., Thomassen, M., Osorio, A., De La Hoya, M., Garcia-Barberan, V., Caldes, T., Segura, P. P., Balmana, J., Gutierrez-Enriquez, S., Diez, O., Teule, A., Del Valle, J., Feliubadalo, L., Pujana, M. A., Lazaro, C., Izquierdo, A., Darder, E., Brunet, J., Fostira, F., Hamann, U., Sutter, C., Meindl, A., Ditsch, N., Gehrig, A., Dworniczak, B., Engel, C., Wand, D., Niederacher, D., Steinemann, D., Hahnen, E., Hauke, J., Rhiem, K., Wappenschmidt, B., Schmutzler, R. K., Kast, K., Arnold, N., Wang-Gohrke, S., Lasset, C., Damiola, F., Barjhoux, L., Mazoyer, S., Stoppa-Lyonnet, D., Belotti, M., Van Heetvelde, M., Poppe, B., De Leeneer, K., Claes, K. B. M., Kiiski, J. I., Khan, S., Nevanlinna, H., Aittomaki, K., Vvan Asperen, C. J., Vaszko, T., Kasler, M., Olah, E., Arason, A., Agnarsson, B. A., Johannsson, O. Th., Barkardottir, R. B., Teixeira, M. R., Pinto, P., Lee, J. W., Lee, M. H., Lee, J., Kim, S. -W., Kang, E., Park, S. K., Kim, Z., Tan, Y. Y., Berger, A., Singer, C. F., Yoon, S. -Y., Teo, S. -H., Von Wachenfeldt, A., Italian Association for Cancer Research, Ministère de Économie, Innovation et Exportation (Canadá), Canadian Institutes of Health Research, United States of Department of Health & Human Services, Cancer Research UK (Reino Unido), National Cancer Center. National R&D Program for Cancer Control (República de Corea), German Cancer Aid, Fondation ARC pour la recherche sur le cancer, Lietuvos Mokslo Taryba (Lituania), Asociación Española Contra el Cáncer, Fundación Mutua Madrileña, University of Kansas. Cancer Center (Estados Unidos), Ministerio de Economía y Competitividad (España), Finlands Akademi (Finlandia), Instituto de Salud Carlos III, Dutch Research Council (Holanda), Pink Ribbons Project, Biobanking and BioMolecular resources Research Infrastructure (Países Bajos), Transcan grant, Government of Catalonia (España), Unión Europea. Fondo Europeo de Desarrollo Regional (FEDER/ERDF), Ministry of Health and Welfare (Corea del Sur), Ministry of Science, Technology and Innovation (Malasia), Victorian Cancer Agency, and Ministry of Higher Education (Malasia)
Subjects: Adult, Male, Cancer Research, Heterozygote, Multifactorial Inheritance, Genes, BRCA2, Genes, BRCA1, Breast Neoplasms, Polymorphism, Single Nucleotide, Risk Assessment, Breast Neoplasms, Male, Age Factors, Aged, Aged, 80 and over, Case-Control Studies, Genetic Predisposition to Disease, Genetic Testing, Genome-Wide Association Study, Humans, Middle Aged, Prostatic Neoplasms, Mutation, Oncology, 80 and over, Polymorphism, skin and connective tissue diseases, Single Nucleotide, BRCA1, BRCA2, Genes
Abstract: Purpose BRCA1/2 mutations increase the risk of breast and prostate cancer in men. Common genetic variants modify cancer risks for female carriers of BRCA1/2 mutations. We investigated-for the first time to our knowledge-associations of common genetic variants with breast and prostate cancer risks for male carriers of BRCA1/ 2 mutations and implications for cancer risk prediction. Materials and Methods We genotyped 1,802 male carriers of BRCA1/2 mutations from the Consortium of Investigators of Modifiers of BRCA1/2 by using the custom Illumina OncoArray. We investigated the combined effects of established breast and prostate cancer susceptibility variants on cancer risks for male carriers of BRCA1/2 mutations by constructing weighted polygenic risk scores (PRSs) using published effect estimates as weights. Results In male carriers of BRCA1/2 mutations, PRS that was based on 88 female breast cancer susceptibility variants was associated with breast cancer risk (odds ratio per standard deviation of PRS, 1.36; 95% CI, 1.19 to 1.56; P = 8.6 × 10-6). Similarly, PRS that was based on 103 prostate cancer susceptibility variants was associated with prostate cancer risk (odds ratio per SD of PRS, 1.56; 95% CI, 1.35 to 1.81; P = 3.2 × 10-9). Large differences in absolute cancer risks were observed at the extremes of the PRS distribution. For example, prostate cancer risk by age 80 years at the 5th and 95th percentiles of the PRS varies from 7% to 26% for carriers of BRCA1 mutations and from 19% to 61% for carriers of BRCA2 mutations, respectively. Conclusion PRSs may provide informative cancer risk stratification for male carriers of BRCA1/2 mutations that might enable these men and their physicians to make informed decisions on the type and timing of breast and prostate cancer risk management. We thank Sue Healey for her contribution to CIMBA, in particular, for taking on the task of mutation classification with Olga Sinilnikova. BCFR Australia: We acknowledge Maggie Angelakos, Judi Maskiell, Gillian Dite, Helen Tsimiklis. BCFR Ontario: We thank members and participants in the Ontario Familial Breast Cancer Registry for their contributions to the study. BFBOCC-LT (Baltic Familial Breast Ovarian Cancer Consortium Lithuanian section): We acknowledge Vilius Rudaitis and Laimonas Griˇskeviˇcius. CBCS (Copenhagen Breast Cancer Study, Rigshospitalet): We thank Bent Ejlertsen Ejlertsen and Anne-Marie Gerdes for the recruitment and genetic counseling of participants. CNIO (Spanish National Cancer Centre): We thank Alicia Barroso, Rosario Alonso, and Guillermo Pita for their assistance. COH-CCGCRN (City of Hope Clinical Cancer Genomics Community Research Network): Patients were recruited for study from the City of Hope Clinical Cancer Genomics Community Research Network. CONSIT TEAM:We acknowledge Daniela Zaffaroni of the Fondazione IRCCS Istituto Nazionale Tumori (INT), Milan, Italy; Brunella Pilato of the Istituto Nazionale Tumori “Giovanni Paolo II”, Bari, Italy; and the personnel of the Cogentech Cancer Genetic Test Laboratory, Milan, Italy. FCCC (Fox Chase Cancer Center):We thank Jo EllenWeaver and Betsy Bove, MD, for their technical support. GEMO (GeneticModifiers of cancer risk in BRCA1/2 mutation carriers):We pay a tribute to Olga M. Sinilnikova, who with Dominique Stoppa-Lyonnet, initiated and coordinated GEMO until she died on June 30, 2014, and we thank all the GEMO collaborating groups for their contribution to this study. GEMO Collaborating Centers are: Coordinating Centres, Unit´e Mixte de G´en´etique Constitutionnelle des Cancers Fr´equents, Hospices Civils de Lyon–Centre L´eon B´erard, Equipe G´en´etique du cancer du sein, Centre de Rechercheen Canc´erologie de Lyon: Olga Sinilnikova (deceased), Sylvie Mazoyer, Francesca Damiola, Laure Barjhoux, Carole Verny-Pierre, M´elanie L´eone, Nadia Boutry-Kryza, Alain Calender, Sophie Giraud; and Service de G´en´etique Oncologique, Institut Curie, Paris: Dominique Stoppa-Lyonnet, Marion Gauthier-Villars, Bruno Buecher, Claude Houdayer, Etienne Rouleau, Lisa Golmard, Agn`es Collet, Virginie Moncoutier, Muriel Belotti, Antoine de Pauw, Camille Elan, Catherine Nogues, Emmanuelle Fourme, Anne-Marie Birot; Institut Gustave Roussy, Villejuif: Brigitte Bressac-de-Paillerets, Olivier Caron, Marine Guillaud- Bataille; Centre Jean Perrin, Clermont–Ferrand: Yves-Jean Bignon, Nancy Uhrhammer; Centre L´eon B´erard, Lyon: Christine Lasset, Val´erie Bonadona, Sandrine Handallou; Centre François Baclesse, Caen: Agn`es Hardouin, Pascaline Berthet, Dominique Vaur, Laurent Castera; Institut Paoli Calmettes, Marseille: Hagay Sobol, Violaine Bourdon, Tetsuro Noguchi, Audrey Remenieras, François Eisinger; CHUArnaud-de-Villeneuve,Montpellier: Isabelle Coupier, Pascal Pujol; Centre Oscar Lambret, Lille: Jean-Philippe Peyrat, Jo¨elle Fournier, Françoise R´evillion, Philippe Vennin (deceased), Claude Adenis; Centre Paul Strauss, Strasbourg: Dani`ele Muller, Jean-Pierre Fricker; Institut Bergoni´e, Bordeaux: Emmanuelle Barouk-Simonet, Françoise Bonnet, Virginie Bubien, Nicolas Sevenet, Michel Longy; Institut Claudius Regaud, Toulouse: Christine Toulas, Rosine Guimbaud, Laurence Gladieff, Viviane Feillel; CHU Grenoble: Dominique Leroux, H´el`ene Dreyfus, Christine Rebischung, Magalie Peysselon; CHU Dijon: Fanny Coron, Laurence Faivre; CHU St-Etienne: Fabienne Prieur, Marine Lebrun, Caroline Kientz; HˆotelDieu Centre Hospitalier, Chamb´ery: Sandra Fert Ferrer; Centre Antoine Lacassagne, Nice: Marc Fr´enay; CHU Limoges: Laurence V´enat-Bouvet; CHU Nantes: Capucine Delnatte; CHU Bretonneau, Tours: Isabelle Mortemousque; Groupe Hospitalier Piti´e-Salp´etri`ere, Paris: Florence Coulet, Chrystelle Colas, Florent Soubrier, MathildeWarcoin; CHU Vandoeuvre-les- Nancy: Johanna Sokolowska, Myriam Bronner; CHU Besançon: Marie-Agn`es Collonge-Rame, Alexandre Damette; Creighton University, Omaha, NE: Henry T. Lynch, Carrie L. Snyder. G-FAST (Ghent University Hospital): B.P. is a senior clinical investigator of FWO. We acknowledge the technical support of Ilse Coeneen Brecht Crombez. HCSC (Hospital Clinico San Carlos): We acknowledge Alicia Tosar and Paula Diaque for their technical assistance. HEBCS (Helsinki Breast Cancer Study):We thank Taru A. Muranen, Carl Blomqvist, MD, Kirsimari Aaltonen, MD, Irja Erkkil¨a, RN, and Virpi Palola, RN, for their help with the HEBCS data and samples. Hereditary Breast and Ovarian Cancer Research Group Netherlands (HEBON): HEBON consists of the following collaborating centers: Coordinating center: Netherlands Cancer Institute, Amsterdam: M.A. Rookus, F.B.L. Hogervorst, F.E. van Leeuwen, S. Verhoef, M.K. Schmidt, N.S. Russell, J.L. de Lange, R. Wijnands; Erasmus Medical Center: J.M. Coll´ee, A.M.W. van den Ouweland, M.J. Hooning, C. Seynaeve, C.H.M. van Deurzen, I.M. Obdeijn; Leiden University Medical Center: C.J. van Asperen, J.T. Wijnen, R.A.E.M. Tollenaar, P. Devilee, T.C.T.E.F. van Cronenburg; Radboud University NijmegenMedical Center: C.M. Kets, A.R.Mensenkamp; UniversityMedical Center Utrecht: M.G.E.M. Ausems, R.B. van der Luijt, C.C. van der Pol; Amsterdam Medical Center: C.M. Aalfs, T.A.M. van Os; Vrije Universiteit Medical Center: J.J.P. Gille, Q.Waisfisz, H.E.J. Meijers-Heijboer; University Hospital Maastricht: E.B. G´omez-Garcia, M.J. Blok; University Medical Center Groningen: J.C. Oosterwijk, A.H. van der Hout, M.J.Mourits, G.H. de Bock; The Netherlands Foundation for the Detection of Hereditary Tumours, Leiden: H.F. Vasen; The Netherlands Comprehensive Cancer Organization (IKNL): S. Siesling, J. Verloop; The Dutch Pathology Registry (PALGA): L.I.H. Overbeek. HEBON thanks the registration teams of IKNL and PALGA for part of the data collection. HUNBOCS (Molecular Genetic Studies of Breast- and Ovarian Cancer in Hungary):We thank the Hungarian Breast and Ovarian Cancer Study Group members (Janos Papp, Aniko Bozsik, Judit Franko, Maria Balogh, Gabriella Domokos, Judit Ferenczi, Department of Molecular Genetics, National Institute of Oncology, Budapest, Hungary) and the clinicians and patients for their contributions to this study. HVH (University Hospital Vall d’Hebron): We thank the Cellex Foundation for providing research facilities and equipment. ICO (Institut Catal`a d’Oncologia): We thank the ICO Hereditary Cancer Program team led by Gabriel Capella, MD. INHERIT (INterdisciplinary HEalth Research Internal Team BReast CAncer susceptibility):We thank Martine Dumont, MD, Martine Tranchant and St´ephane Dubois for QC, sample management and skillful assistance. J.S. is Chair holder of the Canada Research Chair in Oncogenetics. J.S. and P.S. were part of the QC and Genotyping coordinating group of iCOGS and Oncoarray (BCAC and CIMBA). IPOBCS (Portuguese Oncology Institute-Porto jco.org © 2017 by American Society of Clinical Oncology Polygenic Risk Scores in Male BRCA1 and BRCA2 Mutation Carriers Downloaded from ascopubs.org by CNIO-FUND on September 27, 2019 from 193.147.150.201 Copyright © 2019 American Society of Clinical Oncology. All rights reserved. Breast Cancer Study): We thank Catarina Santos, MD, for her skillful contribution to the study. kConFab (Kathleen Cuningham Consortium for Research into Familial Breast Cancer): We thank Heather Thorne, Eveline Niedermayr, all the kConFab research nurses and staff, the heads and staff of the Family Cancer Clinics, and the Clinical Follow Up Study for their contributions to this resource, and the many families who contribute to kConFab.Memorial Sloan Kettering Cancer Center:We acknowledge Lauren Jacobs, MD. OCGN (Ontario Cancer Genetics Network): We thank members and participants in the Ontario Cancer Genetics Network for their contributions to the study. OSUCCG (The Ohio State University Comprehensive Cancer Center): Kevin Sweet, Caroline Craven, Julia Cooper, Leigha Senter, and Michelle O’Conor were instrumental in accrual of study participants, ascertainment of medical records, and database management. SEABASS (South East Asian Breast Cancer Association Study): We thank Yip Cheng Har, Nur Aishah Mohd Taib, Phuah Sze Yee, Norhashimah Hassan, and all the research nurses, research assistants, and doctors involved in the MyBrCa Study for assistance in patient recruitment, data collection, and sample preparation. In addition, we thank Philip Iau, Sng Jen-Hwei, and Sharifah Nor Akmal for contributing samples from the Singapore Breast Cancer Study and the HUKM-HKL Study, respectively. SWE-BRCA (Swedish Breast Cancer Study): Swedish scientists participating as SWE-BRCA collaborators are: from Lund University and University Hospital: A° ke Borg, H°akan Olsson, Helena Jernstr¨om, Karin Henriksson, Katja Harbst, Maria Soller, Ulf Kristoffersson; from Gothenburg Sahlgrenska University Hospital: Anna O¨ fverholm, Margareta Nordling, Per Karlsson, Zakaria Einbeigi; from Stockholm and Karolinska University Hospital: Anna vonWachenfeldt, Annelie Liljegren, Annika Lindblom, Brita Arver, Gisela Barbany Bustinza, Johanna Rantala; from Ume°a University Hospital: Beatrice Melin, Christina Edwinsdotter Ardnor, Monica Emanuelsson; from Uppsala University: Hans Ehrencrona, Maritta Hellstr¨om Pigg, Richard Rosenquist; from Link¨oping University Hospital: Marie Stenmark-Askmalm, Sigrun Liedgren. University of Chicago: O.I.O. is an ACS Clinical Research Professor. We thank Cecilia Zvocec, Qun Niu, physicians, genetic counsellors, research nurses, and staff of the Cancer Risk Clinic for their contributions to this resource, and the many families who contribute to our program. VFCTG (Victorian Familial Cancer Trials Group):We acknowledge Geoffrey Lindeman, Marion Harris, Martin Delatycki of the Victorian Familial Cancer Trials Group.We thank Sarah Sawyer and Rebecca Driessen for assembling these data and Ella Thompson for performing all DNA amplification. © 2017 by American Society of Clinical Oncology JOURNAL OF CLINICAL ONCOLOGY Sí
Published: 2017

10. Association between alcohol and cardiovascular disease: Mendelian randomisation analysis based on individual participant data

Author: Holmes, M, Dale, C, Zuccolo, L, Silverwood, R, Guo, Y, Ye, Z, Prieto-Merino, D, Dehghan, A, Trompet, S, Wong, A, Cavadino, A, Drogan, D, Padmanabhan, S, Li, S, Yesupriya, A, Leusink, M, Sundstrom, J, Hubacek, J, Pikhart, H, Swerdlow, D, Panayiotou, A, Borinskaya, SA, Finan, C, Shah, S, and Kuchenbaecker, K
Abstract: 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.Mendelian randomisation meta-analysis of 56 epidemiological studies.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.Odds ratio for coronary heart disease and stroke associated with the ADH1B variant in all individuals and by categories of alcohol consumption.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)).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.
Published: 2016
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11. Cell-type-specific enrichment of risk-associated regulatory elements at ovarian cancer susceptibility loci

Author: Coetzee, SG, Shen, HC, Hazelett, DJ, Lawrenson, K, Kuchenbaecker, K, Tyrer, J, Rhie, SK, Levanon, K, Karst, A, Drapkin, R, Ramus, SJ, Couch, FJ, Offit, K, Chenevix-Trench, G, Monteiro, ANA, Antoniou, A, Freedman, M, Coetzee, GA, Pharoah, PDP, Noushmehr, H, Gayther, SA, Anton-Culver, H, Antonenkova, N, Baker, H, Bandera, EV, Bean, Y, Beckmann, MW, Berchuck, A, Bisogna, M, Bjorge, L, Bogdanova, N, Brinton, LA, Brooks-Wilson, A, Bruinsma, F, Butzow, R, Campbell, IG, Carty, K, Chang-Claude, J, Chen, A, Chen, Z, Cook, LS, Cramer, DW, Cunningham, JM, Cybulski, C, Dansonka-Mieszkowska, A, Dennis, J, Dicks, E, Doherty, JA, Dörk, T, Bois, AD, Dürst, M, Eccles, D, Easton, DF, Edwards, RP, Eilber, U, Ekici, AB, Fasching, PA, Fridley, BL, Gao, YT, Gentry-Maharaj, A, Giles, GG, Glasspool, R, Goode, EL, Goodman, MT, Grownwald, J, Harrington, P, Harter, P, Hasmad, HN, Hein, A, Heitz, F, Hildebrandt, MAT, Hillemanns, P, Hogdall, E, Hogdall, C, Hosono, S, Iversen, ES, Jakubowska, A, James, P, Jensen, A, Ji, BT, Karlan, BY, Kjaer, SK, Kelemen, LE, Kellar, M, Kelley, JL, Kiemeney, LA, Krakstad, C, Kupryjanczyk, J, Lambrechts, D, Lambrechts, S, Le, ND, Lele, S, Leminen, A, and Lester, J
Abstract: © The Author 2015. Published by Oxford University Press. All rights reserved. Understanding the regulatory landscape of the human genome is a central question in complex trait genetics. Most singlenucleotide polymorphisms (SNPs) associated with cancer risk lie in non-protein-coding regions, implicating regulatory DNA elements as functional targets of susceptibility variants. Here, we describe genome-wide annotation of regions of open chromatin and histone modification in fallopian tube and ovarian surface epithelial cells (FTSECs, OSECs), the debated cellular origins of high-grade serous ovarian cancers (HGSOCs) and in endometriosis epithelial cells (EECs), the likely precursor of clear cell ovarian carcinomas (CCOCs). The regulatory architecture of these cell types was compared with normal human mammary epithelial cells and LNCaP prostate cancer cells. We observed similar positional patterns of global enhancer signatures across the three different ovarian cancer precursor cell types, and evidence of tissue-specific regulatory signatures compared to nongynecological cell types. We found significant enrichment for risk-associated SNPs intersecting regulatory biofeatures at 17 known HGSOC susceptibility loci in FTSECs (P = 3.8 × 10-30), OSECs (P = 2.4 × 10-23) and HMECs (P = 6.7 × 10-15) but not for EECs (P = 0.45) or LNCaP cells (P = 0.88). Hierarchical clustering of risk SNPs conditioned on the six different cell types indicates FTSECs and OSECs are highly related (96% of samples using multi-scale bootstrapping) suggesting both cell types may be precursors of HGSOC. These data represent the first description of regulatory catalogues of normal precursor cells for different ovarian cancer subtypes, and provide unique insights into the tissue specific regulatory variation with respect to the likely functional targets of germline genetic susceptibility variants for ovarian cancer.
Published: 2015
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12. Assessing Associations between the AURKA-HMMR-TPX2-TUBG1 Functional Module and Breast Cancer Risk in BRCA1/2 Mutation Carriers

Author: Blanco, I., Kuchenbaecker, K., Cuadras, D., Wang, X.S., Barrowdale, D., Garibay, G.R., Librado, P., Sanchez-Gracia, A., Rozas, J., Bonifaci, N., McGuffog, L., Pankratz, V.S., Islam, A., Mateo, F., Berenguer, A., Petit, A., Catala, I., Brunet, J., Feliubadalo, L., Tornero, E., Benitez, J., Osorio, A., Cajal, T.R.Y., Nevanlinna, H., Aittomaki, K., Arun, B.K., Toland, A.E., Karlan, B.Y., Walsh, C., Lester, J., Greene, M.H., Mai, P.L., Nussbaum, R.L., Andrulis, I.L., Domchek, S.M., Nathanson, K.L., Rebbeck, T.R., Barkardottir, R.B., Jakubowska, A., Lubinski, J., Durda, K., Jaworska-Bieniek, K., Claes, K., Maerken, T. van, Diez, O., Hansen, T.V., Jonson, L., Gerdes, A.M., Ejlertsen, B., Hoya, M. de la, Caldees, T., Dunning, A.M., Oliver, C., Fineberg, E., Cook, M., Peock, S., McCann, E., Murray, A., Jacobs, C., Pichert, G., Lalloo, F., Chu, C., Dorkins, H., Paterson, J., Ong, K.R., Teixeira, M.R., Teixeira, Hogervorst, F.B.L., Hout, A.H. van der, Seynaeve, C., Luijt, R.B. van der, Ligtenberg, M.J.L., Devilee, P., Wijnen, J.T., Rookus, M.A., Meijers-Heijboer, H.E.J., Blok, M.J., Ouweland, A.M.W. van den, Aalfs, C.M., Rodriguez, G.C., Phillips, K.A.A., Piedmonte, M., Nerenstone, S.R., Bae-Jump, V.L., O'Malley, D.M., Ratner, E.S., Schmutzler, R.K., Wappenschmidt, B., Rhiem, K., Engel, C., Meindl, A., Ditsch, N., Arnold, N., Plendl, H.J., Niederacher, D., Sutter, C., Wang-Gohrke, S., Steinemann, D., Preisler-Adams, S., Kast, K., Varon-Mateeva, R., Gehrig, A., Bojesen, A., Pedersen, I.S., Sunde, L., Jensen, U.B., Thomassen, M., Kruse, T.A., Foretova, L., Peterlongo, P., Bernard, L., Peissel, B., Scuvera, G., Manoukian, S., Radice, P., Ottini, L., Montagna, M., Agata, S., Maugard, C., Simard, J., Soucy, P., Berger, A., Fink-Retter, A., Singer, C.F., Rappaport, C., Geschwantler-Kaulich, D., Tea, M.K., Pfeiler, G., John, E.M., Miron, A., Neuhausen, S.L., Terry, M.B., Chung, W.K., Daly, M.B., Goldgar, D.E., Janavicius, R., Dorfling, C.M., Rensburg, E.J. van, Fostira, F., Konstantopoulou, I., Garber, J., Godwin, A.K., Olah, E., Narod, S.A., Rennert, G., Paluch, S.S., Laitman, Y., Friedman, E., Liljegren, A., Rantala, J., Stenmark-Askmalm, M., Loman, N., Imyanitov, E.N., Hamann, U., Spurdle, A.B., Healey, S., Weitzel, J.N., Herzog, J., Margileth, D., Gorrini, C., Esteller, M., Gomez, A., Sayols, S., Vidal, E., Heyn, H., Stoppa-Lyonnet, Leone, M., Barjhoux, L., Fassy-Colcombet, M., Pauw, A. de, Lasset, C., Ferrer, S.F., Castera, L., Berthet, P., Cornelis, F., Bignon, Y.J., Damiola, F., Mazoyer, S., Sinilnikova, O.M., Maxwell, C.A., Vijai, J., Robson, M., Kauff, N., Corines, M.J., Villano, D., Cunningham, J., Lee, A., Lindor, N., Lazaro, C., Easton, D.F., Offit, K., Chenevix-Trench, G., Couch, F.J., Antoniou, A.C., Pujana, M.A., BCFR, SWE-BRCA, KConFab Investigators, GEMO, Human genetics, CCA - Oncogenesis, Medical Oncology, Clinical Genetics, Suzuki, Hiromu, MUMC+: DA KG Lab Centraal Lab (9), RS: GROW - Oncology, RS: GROW - R4 - Reproductive and Perinatal Medicine, CCA -Cancer Center Amsterdam, ARD - Amsterdam Reproduction and Development, Human Genetics, Department of Obstetrics and Gynecology, Clinicum, Medicum, Haartman Institute (-2014), and Department of Medical and Clinical Genetics
Subjects: single nucleotide, Oncology, Carcinogenesis, TUBG1, Genes, BRCA2, Genes, BRCA1, Càncer d'ovari, MODIFIERS, Genome-wide association study, Cell Cycle Proteins, Breast cancer, mammary glands, Aetiology, genes, skin and connective tissue diseases, Cancer, Extracellular Matrix Proteins, Hazard ratio, CHIP-SEQ, 3. Good health, ddc, Hyaluronan Receptors, Medicine, Teixeira, Human, medicine.medical_specialty, Evolution, Science, Non-P.H.S, Single-nucleotide polymorphism, Evolution, Molecular, SDG 3 - Good Health and Well-being, Ovarian cancer, Genetics, biochemistry, Humans, human, CELL, Polymorphism, GENOME-WIDE ASSOCIATION, medicine (all), Retrospective Studies, Cancer och onkologi, Prevention, Mutació (Biologia), Biology and Life Sciences, Molecular, SWE-BRCA, BRCA1, medicine.disease, BRCA2, POLYMORPHISM, Genes, Genetic Loci, Cancer and Oncology, Mutation, U.S. Gov't, Bioinformatics, medicine.disease_cause, 3123 Gynaecology and paediatrics, Tubulin, Tumours of the digestive tract Radboud Institute for Molecular Life Sciences [Radboudumc 14], ELEMENTS, 2.1 Biological and endogenous factors, CD44, Non-U.S. Gov't, Aurora Kinase A, Likelihood Functions, Multidisciplinary, Research Support, Non-U.S. Gov't, agricultural and biological sciences (all), genetics and molecular biology (all), BCFR, Nuclear Proteins, Single Nucleotide, Mammary Glands, SURVIVAL, kConFab Investigators, Female, Microtubule-Associated Proteins, Research Article, Antigens, CD44, aurora kinase A, breast neoplasms, carcinogenesis, cell cycle proteins, estrogen receptor alpha, evolution, molecular, extracellular matrix proteins, female, genetic loci, genetic predisposition to disease, humans, likelihood functions, mammary glands, human, microtubule-associated proteins, nuclear proteins, polymorphism, retrospective studies, tubulin, genes, BRCA1, genes, BRCA2, mutation, biochemistry, genetics and molecular biology (all), SUSCEPTIBILITY LOCI, General Science & Technology, 3122 Cancers, Breast Neoplasms, Biology, Research Support, Polymorphism, Single Nucleotide, N.I.H, GENETIC INTERACTION NETWORKS, Càncer de mama, EXPRESSION SIGNATURE, Amino acid sequence, Research Support, N.I.H., Extramural, Internal medicine, Seqüència d'aminoàcids, evolution, Genetic variation, Journal Article, medicine, Genetic Predisposition to Disease, ddc:610, molecular, Antigens, Mammary Glands, Human, ddc:611, Intramural, Estrogen Receptor alpha, Extramural, Mutation (Biology), Research Support, N.I.H., Intramural, 3111 Biomedicine, GEMO, Research Support, U.S. Gov't, Non-P.H.S
Abstract: While interplay between BRCA1 and AURKA-RHAMM-TPX2-TUBG1 regulates mammary epithelial polarization, common genetic variation in HMMR (gene product RHAMM) may be associated with risk of breast cancer in BRCA1 mutation carriers. Following on these observations, we further assessed the link between the AURKA-HMMR-TPX2-TUBG1 functional module and risk of breast cancer in BRCA1 or BRCA2 mutation carriers. Forty-one single nucleotide polymorphisms (SNPs) were genotyped in 15,252 BRCA1 and 8,211 BRCA2 mutation carriers and subsequently analyzed using a retrospective likelihood approach. The association of HMMR rs299290 with breast cancer risk in BRCA1 mutation carriers was confirmed: per-allele hazard ratio (HR) = 1.10, 95% confidence interval (CI) 1.04 - 1.15, p = 1.9 x 10(-4) (false discovery rate (FDR)-adjusted p = 0.043). Variation in CSTF1, located next to AURKA, was also found to be associated with breast cancer risk in BRCA2 mutation carriers: rs2426618 per-allele HR = 1.10, 95% CI 1.03 - 1.16, p = 0.005 (FDR-adjusted p = 0.045). Assessment of pairwise interactions provided suggestions (FDR-adjusted p(interaction) values greater than 0.05) for deviations from the multiplicative model for rs299290 and CSTF1 rs6064391, and rs299290 and TUBG1 rs11649877 in both BRCA1 and BRCA2 mutation carriers. Following these suggestions, the expression of HMMR and AURKA or TUBG1 in sporadic breast tumors was found to potentially interact, influencing patients survival. Together, the results of this study support the hypothesis of a causative link between altered function of AURKA-HMMR-TPX2-TUBG1 and breast carcinogenesis in BRCA1/2 mutation carriers. Funding Agencies|National Cancer Institute [UM1 CA164920]; Lithuania (BFBOCC-LT): Research Council of Lithuania grant [LIG-07/2012]; Hereditary Cancer Association (Paveldimo vezio asociacija); LSC grant [10.0010.08]; ESF [2009/0220/1DP/1.1.1.2.0/09/APIA/VIAA/016]; Liepajas municipal council; Cancer Association of South Africa (CANSA); Morris and Horowitz Familes Endowed Professorship; NEYE Foundation; Spanish Association against Cancer [AECC08, RTICC 06/0020/1060, FISPI08/1120]; Mutua Madrilena Foundation (FMMA); COH-CCGCRN: City of Hope Clinical Cancer Genetics Community Network from the National Cancer Institute and the Office of the Director, National Institutes of Health; Hereditary Cancer Research Registry from the National Cancer Institute and the Office of the Director, National Institutes of Health [RC4CA153828]; Fondazione IRCCS Istituto Nazionale Tumori; Cancer Research-United Kingdom grant [C12292/A11174, C1287/ A10118]; NHMRC Program Grant; DKFZ; European Union (European Social Fund-ESF); Greek national funds through the Operational Program "Education and Lifelong Learning" of the National Strategic Reference Framework (NSRF)-Research Funding Program of the General Secretariat for Research and Technology: ARISTEIA; European Social Fund; Cancer Research United Kingdom Grants [C1287/A10118, C1287/A11990]; National Institute of Health Research (NIHR) grant; NIHR grant; Royal Marsden NHS Foundation Trust; Cancer Research United Kingdom Grant [C5047/A8385]; University of Kansas Cancer Center [P30 CA168524]; Kansas Bioscience Authority Eminent Scholar Program; Chancellors Distinguished Chair in Biomedical Sciences Professorship; AKG [5U01CA113916, R01CA140323]; German Cancer Aid [109076]; Center for Molecular Medicine Cologne (CMMC); Ligue National Contre le Cancer; Association "Le cancer du sein, parlonsen!" Award; Canadian Institutes of Health Research; Fund for Scientific Research Flanders (FWO); National Cancer Institute grant [CA 27469]; GOG Statistical and Data Center [CA 37517]; GOGs Cancer Prevention and Control Committee [CA 101165]; Intramural Research Program, NCI; ISCIII (Spain) [RD12/00369/0006, 12/00539]; European Regional Development FEDER funds; Helsinki University Central Hospital Research Fund; Academy of Finland [132473]; Finnish Cancer Society; Sigrid Juselius Foundation; Dutch Cancer Society grant [NKI1998-1854, NKI2004-3088, NKI2007-3756]; Netherlands Organization of Scientific Research [NWO 91109024]; Pink Ribbon grant [110005]; BBMRI grant [NWO 184.021.007/CP46]; Hungarian Research Grant [KTIA-OTKA CK-80745]; Norwegian EEA Financial Mechanism [HU0115/NA/2008-3/OP-9]; Spanish Ministry of Health ISCIII FIS [PI10/01422, PI12/01528, PI13/00285]; RTICC [RD12/0036/0008]; Ramon Areces (XV) Foundation; Eugenio Rodriguez Pascual Foundation; Roses Contra el Cancer Foundation; Spanish Association Against Cancer (AECC); AGAUR Generalitat de Catalunya [2009-SGR290, 2009-SGR293]; Polish Foundation of Science; Icelandic Association "Walking for Breast Cancer Research"; Nordic Cancer Union; Landspitali University Hospital Research Fund; Canadian Institutes of Health Research for the "CIHR Team in Familial Risks of Breast Cancer" program; Canadian Breast Cancer Research Alliance-grant [019511]; Ministry of Economic Development, Innovation and Export Trade-grant [PSR-SIIRI-701]; Ministero dellIstruzione, dellUniversita e della Ricerca and Ministero della Salute; Liga Portuguesa Contra o Cancro; National Breast Cancer Foundation; National Health and Medical Research Council (NHMRC); Queensland Cancer Fund; Cancer Council of New South Wales; Cancer Council of Victoria; Cancer Foundation of Western Australia; Cancer Councils of Tasmania; National Institutes of Health grant [CA128978]; NCI Specialized Program of Research Excellence (SPORE) in Breast Cancer [CA116201]; United States Department of Defence Ovarian Cancer Idea award [W81XWH-10-1-0341]; Breast Cancer Research Foundation; Jewish General Hospital Weekend; Quebec Ministry of Economic Development, Innovation and Export Trade; Cancer Councils of South Australia; European Regional Development Fund; State Budget of the Czech Republic (RECAMO) [CZ.1.05/2.1.00/03.0101]; MH CZ-DRO (MMCI) [00209805]; Niehaus Family Genetics Research Fund; STARR Cancer Consortium Grant; NAROD [1R01 CA149429-01]; NCI Intramural Research Program, National Institutes of Health [NO2-CP-11019-50, N02-CP-65504]; Westat, Inc, Rockville, Maryland; Clalit Health Services in Israel; Israel Cancer Association; Breast Cancer Research Foundation (BCRF), New York; Russian Federation for Basic Research [11-04-00227, 12-04-00928, 12-04-01490]; Federal Agency for Science and Innovations, Russia [02.740.11.0780]; Canadian Institutes of Health Research for the "CIHR Team in Familial Risks of Breast Cancer" program and grant from the National Cancer Institute [UM1 CA164920]; Breast Cancer Family Registry (BCFR); United States Government or the BCFR; Ohio State University Comprehensive Cancer Center; Isreal cancer association; Israeli Inherited breast cancer consortium; Swedish Cancer Society; Ralph and Marion Falk Medical Research Trust; Entertainment Industry Fund National Womens Cancer Research Alliance; National Institutes of Health (NIH) [R01-CA102776, R01-CA083855]; Rooney Family Foundation; Susan G. Komen Foundation for the cure, Basser Research Center; American Cancer Society Early Detection Professorship [SIOP-06-258-01-COUN]; SAF2010-20493; [PBZ_KBN_122/P05/2004]
Published: 2015
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13. Assessing associations between the AURKAHMMR-TPX2-TUBG1 functional module and breast cancer risk in BRCA1/2 mutation carriers

Author: Blanco, I, Kuchenbaecker, K, Cuadras, D, Wang, X, Barrowdale, D, De Garibay, GR, Librado, P, Sánchez-Gracia, A, Rozas, J, Bonifaci, N, McGuffog, L, Pankratz, VS, Islam, A, Mateo, F, Berenguer, A, Petit, A, Català, I, Brunet, J, Feliubadaló, L, Tornero, E, Benítez, J, Osorio, A, Teresa, R, Teresa, C, Nevanlinna, H, Aittomäki, K, Arun, BK, Toland, AE, Karlan, BY, Walsh, C, Lester, J, Greene, MH, Mai, PL, Nussbaum, RL, Andrulis, IL, Domchek, SM, Nathanson, KL, Rebbeck, TR, Barkardottir, RB, Jakubowska, A, Lubinski, J, Durda, K, Jaworska-Bieniek, K, Claes, K, Van Maerken, T, Díez, O, Hansen, TV, Jønson, L, Gerdes, AM, Ejlertsen, B, De La Hoya, M, Caldés, T, Dunning, AM, Oliver, C, Fineberg, E, Cook, M, Peock, S, McCann, E, Murray, A, Jacobs, C, Pichert, G, Lalloo, F, Chu, C, Dorkins, H, Paterson, J, Ong, KR, Teixeira, MR, Teixeira, T, Hogervorst, FBL, Van Der Hout, AH, Seynaeve, C, Van Der Luijt, RB, Ligtenberg, MJL, Devilee, P, Wijnen, JT, Rookus, MA, Meijers-Heijboer, HEJ, Blok, MJ, Van Den Ouweland, AMW, Aalfs, CM, Rodriguez, GC, Phillips, KAA, Piedmonte, M, Nerenstone, SR, Bae-Jump, VL, O'Malley, DM, Ratner, ES, Schmutzler, RK, Wappenschmidt, B, Rhiem, K, Engel, C, Meindl, A, Ditsch, N, Arnold, N, Plendl, HJ, Niederacher, D, Sutter, C, and Wang-Gohrke, S
Subjects: skin and connective tissue diseases
Abstract: While interplay between BRCA1 and AURKA-RHAMM-TPX2-TUBG1 regulates mammary epithelial polarization, common genetic variation in HMMR (gene product RHAMM) may be associated with risk of breast cancer in BRCA1 mutation carriers. Following on these observations, we further assessed the link between the AURKA-HMMR-TPX2-TUBG1 functional module and risk of breast cancer in BRCA1 or BRCA2 mutation carriers. Forty-one single nucleotide polymorphisms (SNPs) were genotyped in 15,252 BRCA1 and 8,211 BRCA2 mutation carriers and subsequently analyzed using a retrospective likelihood approach. The association of HMMR rs299290 with breast cancer risk in BRCA1 mutation carriers was confirmed: per-allele hazard ratio (HR) = 1.10, 95% confidence interval (CI) 1.04 - 1.15, p = 1.9 × 10-4(false discovery rate (FDR)-adjusted p = 0.043). Variation in CSTF1, located next to AURKA, was also found to be associated with breast cancer risk in BRCA2 mutation carriers: rs2426618 per-allele HR = 1.10, 95% CI 1.03 - 1.16, p = 0.005 (FDR-adjusted p = 0.045). Assessment of pairwise interactions provided suggestions (FDR-adjusted pinteractionvalues > 0.05) for deviations from the multiplicative model for rs299290 and CSTF1 rs6064391, and rs299290 and TUBG1 rs11649877 in both BRCA1 and BRCA2 mutation carriers. Following these suggestions, the expression of HMMR and AURKA or TUBG1 in sporadic breast tumors was found to potentially interact, influencing patients' survival. Together, the results of this study support the hypothesis of a causative link between altered function of AURKA-HMMR-TPX2-TUBG1 and breast carcinogenesis in BRCA1/2 mutation carriers.
Published: 2015
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14. Association between alcohol and cardiovascular disease: Mendelian randomisation analysis based on individual participant data

Author: Holmes, M. V., Dale, C. E., Zuccolo, L., Silverwood, R. J., Guo, Y., Ye, Z., Prieto-Merino, D., Dehghan, A., Trompet, S., Wong, A., Cavadino, A., Drogan, D., Padmanabhan, S., Li, S., Yesupriya, A., Leusink, M., Sundstrom, J., Hubacek, J. A., Pikhart, H., Swerdlow, D. I., Panayiotou, A. G., Borinskaya, S. A., Finan, C., Shah, S., Kuchenbaecker, K. B., Shah, T., Engmann, J., Folkersen, L., Eriksson, P., Ricceri, F., Melander, O., Sacerdote, C., Gamble, D. M., Rayaprolu, S., Ross, O. A., McLachlan, S., Vikhireva, O., Sluijs, I., Scott, R. A., Adamkova, V., Flicker, L., Bockxmeer, F. M. v., Power, C., Marques-Vidal, P., Meade, T., Marmot, M. G., Ferro, J. M., Paulos-Pinheiro, S., Humphries, S. E., Talmud, P. J., Leach, I. M., Verweij, N., Linneberg, A., Skaaby, T., Doevendans, P. A., Cramer, M. J., Harst, P. v. d., Klungel, O. H., Dowling, N. F., Dominiczak, A. F., Kumari, M., Nicolaides, A. N., Weikert, C., Boeing, H., Ebrahim, S., Gaunt, T. R., Price, J. F., Lannfelt, L., Peasey, A., Kubinova, R., Pajak, A., Malyutina, S., Voevoda, M. I., Tamosiunas, A., Maitland-van der Zee, A. H., Norman, P. E., Hankey, G. J., Bergmann, M. M., Hofman, A., Franco, O. H., Cooper, J., Palmen, J., Spiering, W., Jong, P. A. d., Kuh, D., Hardy, R., Uitterlinden, A. G., Ikram, M. A., Ford, I., Hypponen, E., Almeida, O. P., Wareham, N. J., Khaw, K.-T., Hamsten, A., Husemoen, L. L. N., Tjonneland, A., Tolstrup, J. S., Rimm, E., Beulens, J. W. J., Verschuren, W. M. M., Onland-Moret, N. C., Hofker, M. H., Wannamethee, S. G., Whincup, P. H., Morris, R., Vicente, A. M., Watkins, H., Farrall, M., Jukema, J. W., Meschia, J., Cupples, L. A., Sharp, S. J., Fornage, M., Kooperberg, C., LaCroix, A. Z., Dai, J. Y., Lanktree, M. B., Siscovick, D. S., Jorgenson, E., Spring, B., Coresh, J., Li, Y. R., Buxbaum, S. G., Schreiner, P. J., Ellison, R. C., Tsai, M. Y., Patel, S. R., Redline, S., Johnson, A. D., Hoogeveen, R. C., Hakonarson, H., Rotter, J. I., Boerwinkle, E., Bakker, P. I. W. d., Kivimaki, M., Asselbergs, F. W., Sattar, N., Lawlor, D. A., Whittaker, J., Davey Smith, G., Mukamal, K., Psaty, B. M., Wilson, J. G., Lange, L. A., Hamidovic, A., Hingorani, A. D., Nordestgaard, B. G., Bobak, M., Leon, D. A., Langenberg, C., Palmer, T. M., Reiner, A. P., Keating, B. J., Dudbridge, F., Casas, J. P., Repositório da Universidade de Lisboa, and InterAct Consortium
Subjects: Adult, Genetic Markers, Male, Models, Statistical, Alcohol Drinking, Genotype, Alcohol Dehydrogenase, Coronary Disease, Mendelian Randomization Analysis, Middle Aged, Polymorphism, Single Nucleotide, Stroke, Aged, Alcohol Dehydrogenase/genetics, Alcohol Drinking/adverse effects, Alcohol Drinking/genetics, Biomarkers/blood, Coronary Disease/blood, Coronary Disease/etiology, Coronary Disease/genetics, Female, Humans, Stroke/blood, Stroke/etiology, Stroke/genetics, Cardiac and Cardiovascular Systems, Biomarkers
Abstract: Copyright © 2014, BMJ Publishing Group Ltd. This is an Open Access article distributed in accordance with the Creative CommonsAttribution Non Commercial (CC BY-NC 3.0) license, which permits others to distribute,remix, adapt, build upon this work non-commercially, and license their derivative workson different terms, provided the original work is properly cited and the use isnon-commercial. See: http://creativecommons.org/licenses/by-nc/3., 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.
Published: 2014
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15. DNA Glycosylases Involved in Base Excision Repair May Be Associated with Cancer Risk in BRCA1 and BRCA2 Mutation Carriers

Author: Osorio, A, Milne, RL, Kuchenbaecker, K, Vaclová, T, Pita, G, Alonso, R, Peterlongo, P, Blanco, I, de la Hoya, M, Duran, M, Díez, O, Ramón y Cajal, T, Konstantopoulou, I, Martínez-Bouzas, C, Andrés Conejero, R, Soucy, P, McGuffog, L, Barrowdale, D, Lee, A, Arver, B, Rantala, J, Loman, N, Ehrencrona, H, Olopade, OI, Beattie, MS, Domchek, SM, Nathanson, K, Rebbeck, TR, Arun, BK, Karlan, BY, Walsh, C, Lester, J, John, EM, Whittemore, AS, Daly, MB, Southey, M, Hopper, J, Terry, MB, Buys, SS, Janavicius, R, Dorfling, CM, van Rensburg, EJ, Steele, L, Neuhausen, SL, Ding, YC, Hansen, TVO, Jønson, L, Ejlertsen, B, Gerdes, AM, Infante, M, Herráez, B, Moreno, LT, Weitzel, JN, Herzog, J, Weeman, K, Manoukian, S, Peissel, B, Zaffaroni, D, Scuvera, G, Bonanni, B, Mariette, F, Volorio, S, Viel, A, Varesco, L, Papi, L, Ottini, L, Tibiletti, MG, Radice, P, Yannoukakos, D, Garber, J, Ellis, S, Frost, D, Platte, R, Fineberg, E, Evans, G, Lalloo, F, Izatt, L, Eeles, R, Adlard, J, Davidson, R, Cole, T, Eccles, D, Cook, J, Hodgson, S, Brewer, C, Tischkowitz, M, Douglas, F, Porteous, M, Side, L, Walker, L, Morrison, P, Donaldson, A, Kennedy, J, Foo, C, Godwin, AK, Schmutzler, RK, Wappenschmidt, B, Rhiem, K, and Engel, C
Subjects: endocrine system diseases, skin and connective tissue diseases
Abstract: Single Nucleotide Polymorphisms (SNPs) in genes involved in the DNA Base Excision Repair (BER) pathway could be associated with cancer risk in carriers of mutations in the high-penetrance susceptibility genes BRCA1 and BRCA2, given the relation of synthetic lethality that exists between one of the components of the BER pathway, PARP1 (poly ADP ribose polymerase), and both BRCA1 and BRCA2. In the present study, we have performed a comprehensive analysis of 18 genes involved in BER using a tagging SNP approach in a large series of BRCA1 and BRCA2 mutation carriers. 144 SNPs were analyzed in a two stage study involving 23,463 carriers from the CIMBA consortium (the Consortium of Investigators of Modifiers of BRCA1 and BRCA2). Eleven SNPs showed evidence of association with breast and/or ovarian cancer at p
Published: 2014
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16. Cell-type-specific enrichment of risk-associated regulatory elements at ovarian cancer susceptibility loci

Author: Coetzee, S.G., Shen, H.C., Hazelett, D.J., Lawrenson, K., Kuchenbaecker, K., Tyrer, J., Rhie, S.K., Levanon, K., Karst, A., Drapkin, R., Ramus, S.J., Couch, F.J., Offit, K., Chenevix-Trench, G., Monteiro, A.N., Antoniou, A., Freedman, M., Coetzee, G.A., Pharoah, P.D., Noushmehr, H., Gayther, S.A., Kiemeney, B., Massuger, L.F.A.G., et al., Coetzee, S.G., Shen, H.C., Hazelett, D.J., Lawrenson, K., Kuchenbaecker, K., Tyrer, J., Rhie, S.K., Levanon, K., Karst, A., Drapkin, R., Ramus, S.J., Couch, F.J., Offit, K., Chenevix-Trench, G., Monteiro, A.N., Antoniou, A., Freedman, M., Coetzee, G.A., Pharoah, P.D., Noushmehr, H., Gayther, S.A., Kiemeney, B., Massuger, L.F.A.G., and et al.
Abstract: Contains fulltext : 154725.pdf (publisher's version ) (Closed access), Understanding the regulatory landscape of the human genome is a central question in complex trait genetics. Most single-nucleotide polymorphisms (SNPs) associated with cancer risk lie in non-protein-coding regions, implicating regulatory DNA elements as functional targets of susceptibility variants. Here, we describe genome-wide annotation of regions of open chromatin and histone modification in fallopian tube and ovarian surface epithelial cells (FTSECs, OSECs), the debated cellular origins of high-grade serous ovarian cancers (HGSOCs) and in endometriosis epithelial cells (EECs), the likely precursor of clear cell ovarian carcinomas (CCOCs). The regulatory architecture of these cell types was compared with normal human mammary epithelial cells and LNCaP prostate cancer cells. We observed similar positional patterns of global enhancer signatures across the three different ovarian cancer precursor cell types, and evidence of tissue-specific regulatory signatures compared to non-gynecological cell types. We found significant enrichment for risk-associated SNPs intersecting regulatory biofeatures at 17 known HGSOC susceptibility loci in FTSECs (P = 3.8 x 10(-30)), OSECs (P = 2.4 x 10(-23)) and HMECs (P = 6.7 x 10(-15)) but not for EECs (P = 0.45) or LNCaP cells (P = 0.88). Hierarchical clustering of risk SNPs conditioned on the six different cell types indicates FTSECs and OSECs are highly related (96% of samples using multi-scale bootstrapping) suggesting both cell types may be precursors of HGSOC. These data represent the first description of regulatory catalogues of normal precursor cells for different ovarian cancer subtypes, and provide unique insights into the tissue specific regulatory variation with respect to the likely functional targets of germline genetic susceptibility variants for ovarian cancer.
Published: 2015

17. Assessing Associations between the AURKA-HMMR-TPX2-TUBG1 Functional Module and Breast Cancer Risk in BRCA1/2 Mutation Carriers

Author: Blanco, I, Kuchenbaecker, K, Cuadras, D, Wang, XS, Barrowdale, D, Garibay, GR, Librado, P, Sanchez-Gracia, A, Rozas, J, Bonifaci, N, McGuffog, L, Pankratz, VS, Islam, A, Mateo, F, Berenguer, A, Petit, A, Catala, I, Brunet, J, Feliubadalo, L, Tornero, E, Benitez, J, Osorio, A, Cajal, TRY, Nevanlinna, H, Aittomaki, K, Arun, BK, Toland, AE, Karlan, BY, Walsh, C, Lester, J, Greene, MH, Mai, PL, Nussbaum, RL, Andrulis, IL, Domchek, SM, Nathanson, KL, Rebbeck, TR, Barkardottir, RB, Jakubowska, A, Lubinski, J, Durda, K, Jaworska-Bieniek, K, Claes, K, Van Maerken, T, Diez, O, Hansen, TV, Jonson, L, Gerdes, AM, Ejlertsen, B, de la Hoya, M, Caldees, T, Dunning, AM, Oliver, C, Fineberg, E, Cook, M, Peock, S, McCann, E, Murray, A, Jacobs, C, Pichert, G, Lalloo, F, Chu, C, Dorkins, H, Paterson, J, Ong, KR, Teixeira, MR, Teixeira, Hogervorst, FBL, van der Hout, AH, Seynaeve, Caroline, van der Luijt, RB, Ligtenberg, MJL, Devilee, P, Wijnen, JT, Rookus, MA, Meijers-Heijboer, HEJ, Blok, MJ, van den Ouweland, Ans, Aalfs, CM, Rodriguez, GC, Phillips, KAA, Piedmonte, M, Nerenstone, SR, Bae-Jump, VL, O'Malley, DM, Ratner, ES, Schmutzler, RK, Wappenschmidt, B, Rhiem, K, Engel, C, Meindl, A, Ditsch, N, Arnold, N, Plendl, HJ, Niederacher, D, Sutter, C, Wang-Gohrke, S, Steinemann, D, Preisler-Adams, S, Kast, K, Varon-Mateeva, R, Gehrig, A, Bojesen, A, Pedersen, IS, Sunde, L, Jensen, UB, Thomassen, Marga, Kruse, TA, Foretova, L, Peterlongo, P, Bernard, L, Peissel, B, Scuvera, G, Manoukian, S, Radice, P, Ottini, L, Montagna, M, Agata, S, Maugard, C, Simard, J, Soucy, P, Berger, A, Fink-Retter, A, Singer, CF, Rappaport, C, Geschwantler-Kaulich, D, Tea, MK, Pfeiler, G, John, EM, Miron, A, Neuhausen, SL, Terry, MB, Chung, WK, Daly, MB, Goldgar, DE, Janavicius, R, Dorfling, CM, van Rensburg, EJ, Fostira, F, Konstantopoulou, I, Garber, J, Godwin, AK, Olah, E, Narod, SA, Rennert, G, Paluch, SS, Laitman, Y, Friedman, E, Liljegren, A, Rantala, J, Stenmark-Askmalm, M, Loman, N, Imyanitov, EN, Hamann, U, Spurdle, AB, Healey, S, Weitzel, JN, Herzog, J, Margileth, D, Gorrini, C, Esteller, M, Gomez, A, Sayols, S, Vidal, E, Heyn, H, Stoppa-Lyonnet, Leone, M, Barjhoux, L, Fassy-Colcombet, M, de Pauw, A, Lasset, C, Ferrer, SF, Castera, L, Berthet, P, Cornelis, F, Bignon, YJ, Damiola, F, Mazoyer, S, Sinilnikova, OM, Maxwell, CA, Vijai, J, Robson, M, Kauff, N, Corines, MJ, Villano, D, Cunningham, J, van der Lee, A, Lindor, N, Lazaro, C (Conxi), Easton, DF, Offit, K, Chenevix-Trench, G, Couch, FJ, Antoniou, AC, Pujana, MA, Blanco, I, Kuchenbaecker, K, Cuadras, D, Wang, XS, Barrowdale, D, Garibay, GR, Librado, P, Sanchez-Gracia, A, Rozas, J, Bonifaci, N, McGuffog, L, Pankratz, VS, Islam, A, Mateo, F, Berenguer, A, Petit, A, Catala, I, Brunet, J, Feliubadalo, L, Tornero, E, Benitez, J, Osorio, A, Cajal, TRY, Nevanlinna, H, Aittomaki, K, Arun, BK, Toland, AE, Karlan, BY, Walsh, C, Lester, J, Greene, MH, Mai, PL, Nussbaum, RL, Andrulis, IL, Domchek, SM, Nathanson, KL, Rebbeck, TR, Barkardottir, RB, Jakubowska, A, Lubinski, J, Durda, K, Jaworska-Bieniek, K, Claes, K, Van Maerken, T, Diez, O, Hansen, TV, Jonson, L, Gerdes, AM, Ejlertsen, B, de la Hoya, M, Caldees, T, Dunning, AM, Oliver, C, Fineberg, E, Cook, M, Peock, S, McCann, E, Murray, A, Jacobs, C, Pichert, G, Lalloo, F, Chu, C, Dorkins, H, Paterson, J, Ong, KR, Teixeira, MR, Teixeira, Hogervorst, FBL, van der Hout, AH, Seynaeve, Caroline, van der Luijt, RB, Ligtenberg, MJL, Devilee, P, Wijnen, JT, Rookus, MA, Meijers-Heijboer, HEJ, Blok, MJ, van den Ouweland, Ans, Aalfs, CM, Rodriguez, GC, Phillips, KAA, Piedmonte, M, Nerenstone, SR, Bae-Jump, VL, O'Malley, DM, Ratner, ES, Schmutzler, RK, Wappenschmidt, B, Rhiem, K, Engel, C, Meindl, A, Ditsch, N, Arnold, N, Plendl, HJ, Niederacher, D, Sutter, C, Wang-Gohrke, S, Steinemann, D, Preisler-Adams, S, Kast, K, Varon-Mateeva, R, Gehrig, A, Bojesen, A, Pedersen, IS, Sunde, L, Jensen, UB, Thomassen, Marga, Kruse, TA, Foretova, L, Peterlongo, P, Bernard, L, Peissel, B, Scuvera, G, Manoukian, S, Radice, P, Ottini, L, Montagna, M, Agata, S, Maugard, C, Simard, J, Soucy, P, Berger, A, Fink-Retter, A, Singer, CF, Rappaport, C, Geschwantler-Kaulich, D, Tea, MK, Pfeiler, G, John, EM, Miron, A, Neuhausen, SL, Terry, MB, Chung, WK, Daly, MB, Goldgar, DE, Janavicius, R, Dorfling, CM, van Rensburg, EJ, Fostira, F, Konstantopoulou, I, Garber, J, Godwin, AK, Olah, E, Narod, SA, Rennert, G, Paluch, SS, Laitman, Y, Friedman, E, Liljegren, A, Rantala, J, Stenmark-Askmalm, M, Loman, N, Imyanitov, EN, Hamann, U, Spurdle, AB, Healey, S, Weitzel, JN, Herzog, J, Margileth, D, Gorrini, C, Esteller, M, Gomez, A, Sayols, S, Vidal, E, Heyn, H, Stoppa-Lyonnet, Leone, M, Barjhoux, L, Fassy-Colcombet, M, de Pauw, A, Lasset, C, Ferrer, SF, Castera, L, Berthet, P, Cornelis, F, Bignon, YJ, Damiola, F, Mazoyer, S, Sinilnikova, OM, Maxwell, CA, Vijai, J, Robson, M, Kauff, N, Corines, MJ, Villano, D, Cunningham, J, van der Lee, A, Lindor, N, Lazaro, C (Conxi), Easton, DF, Offit, K, Chenevix-Trench, G, Couch, FJ, Antoniou, AC, and Pujana, MA
Abstract: While interplay between BRCA1 and AURKA-RHAMM-TPX2-TUBG1 regulates mammary epithelial polarization, common genetic variation in HMMR (gene product RHAMM) may be associated with risk of breast cancer in BRCA1 mutation carriers. Following on these observations, we further assessed the link between the AURKA-HMMR-TPX2-TUBG1 functional module and risk of breast cancer in BRCA1 or BRCA2 mutation carriers. Forty-one single nucleotide polymorphisms (SNPs) were genotyped in 15,252 BRCA1 and 8,211 BRCA2 mutation carriers and subsequently analyzed using a retrospective likelihood approach. The association of HMMR rs299290 with breast cancer risk in BRCA1 mutation carriers was confirmed: per-allele hazard ratio (HR) = 1.10, 95% confidence interval (CI) 1.04 - 1.15, p = 1.9 x 10(-4) (false discovery rate (FDR)-adjusted p = 0.043). Variation in CSTF1, located next to AURKA, was also found to be associated with breast cancer risk in BRCA2 mutation carriers: rs2426618 per-allele HR = 1.10, 95% CI 1.03 - 1.16, p = 0.005 (FDR-adjusted p = 0.045). Assessment of pairwise interactions provided suggestions (FDR-adjusted p(interaction) values > 0.05) for deviations from the multiplicative model for rs299290 and CSTF1 rs6064391, and rs299290 and TUBG1 rs11649877 in both BRCA1 and BRCA2 mutation carriers. Following these suggestions, the expression of HMMR and AURKA or TUBG1 in sporadic breast tumors was found to potentially interact, influencing patients' survival. Together, the results of this study support the hypothesis of a causative link between altered function of AURKA-HMMR-TPX2-TUBG1 and breast carcinogenesis in BRCA1/2 mutation carriers.
Published: 2015

18. DNA glycosylases involved in base excision repair may be associated with cancer risk in BRCA1 and BRCA2 mutation carriers

Author: Osorio, A., Milne, R.L., Kuchenbaecker, K., Vaclova, T., Pita, G., Alonso, R., Peterlongo, P., Blanco, I., Hoya, M. de la, Duran, M., Diez, O., Ramon, Y.C.T., Konstantopoulou, I., Martinez-Bouzas, C., Conejero, R. Andres, Soucy, P., McGuffog, L., Barrowdale, D., Lee, A., Swe, B., Arver, B., Rantala, J., Loman, N., Ehrencrona, H., Olopade, O.I., Beattie, M.S., Domchek, S.M., Nathanson, K., Rebbeck, T.R., Arun, B.K., Karlan, B.Y., Walsh, C., Lester, J., John, E.M., Whittemore, A.S., Daly, M.B., Southey, M., Hopper, J., Terry, M.B., Buys, S.S., Janavicius, R., Dorfling, C.M., Rensburg, E.J. van, Steele, L., Neuhausen, S.L., Ding, Y.C., Hansen, T.V., Jonson, L., Ejlertsen, B., Gerdes, A.M., Infante, M., Herraez, B., Moreno, L.T., Weitzel, J.N., Herzog, J., Weeman, K., Manoukian, S., Peissel, B., Zaffaroni, D., Scuvera, G., Bonanni, B., Mariette, F., Volorio, S., Viel, A., Varesco, L., Papi, L., Ottini, L., Tibiletti, M.G., Radice, P., Yannoukakos, D., Garber, J., Ellis, S., Frost, D., Platte, R., Fineberg, E., Evans, G., Lalloo, F., Izatt, L., Eeles, R., Adlard, J., Davidson, R., Cole, T., Eccles, D., Cook, J., Hodgson, S., Brewer, C., Tischkowitz, M., Douglas, F., Porteous, M., Side, L., Walker, L., Morrison, P., Donaldson, A., Kennedy, J., Foo, C., Godwin, A.K., Schmutzler, R.K., Wappenschmidt, B., Rhiem, K., Engel, C., Hoogerbrugge-van der Linden, N., et al., Osorio, A., Milne, R.L., Kuchenbaecker, K., Vaclova, T., Pita, G., Alonso, R., Peterlongo, P., Blanco, I., Hoya, M. de la, Duran, M., Diez, O., Ramon, Y.C.T., Konstantopoulou, I., Martinez-Bouzas, C., Conejero, R. Andres, Soucy, P., McGuffog, L., Barrowdale, D., Lee, A., Swe, B., Arver, B., Rantala, J., Loman, N., Ehrencrona, H., Olopade, O.I., Beattie, M.S., Domchek, S.M., Nathanson, K., Rebbeck, T.R., Arun, B.K., Karlan, B.Y., Walsh, C., Lester, J., John, E.M., Whittemore, A.S., Daly, M.B., Southey, M., Hopper, J., Terry, M.B., Buys, S.S., Janavicius, R., Dorfling, C.M., Rensburg, E.J. van, Steele, L., Neuhausen, S.L., Ding, Y.C., Hansen, T.V., Jonson, L., Ejlertsen, B., Gerdes, A.M., Infante, M., Herraez, B., Moreno, L.T., Weitzel, J.N., Herzog, J., Weeman, K., Manoukian, S., Peissel, B., Zaffaroni, D., Scuvera, G., Bonanni, B., Mariette, F., Volorio, S., Viel, A., Varesco, L., Papi, L., Ottini, L., Tibiletti, M.G., Radice, P., Yannoukakos, D., Garber, J., Ellis, S., Frost, D., Platte, R., Fineberg, E., Evans, G., Lalloo, F., Izatt, L., Eeles, R., Adlard, J., Davidson, R., Cole, T., Eccles, D., Cook, J., Hodgson, S., Brewer, C., Tischkowitz, M., Douglas, F., Porteous, M., Side, L., Walker, L., Morrison, P., Donaldson, A., Kennedy, J., Foo, C., Godwin, A.K., Schmutzler, R.K., Wappenschmidt, B., Rhiem, K., Engel, C., Hoogerbrugge-van der Linden, N., and et al.
Abstract: Contains fulltext : 137733.pdf (publisher's version ) (Open Access), Single Nucleotide Polymorphisms (SNPs) in genes involved in the DNA Base Excision Repair (BER) pathway could be associated with cancer risk in carriers of mutations in the high-penetrance susceptibility genes BRCA1 and BRCA2, given the relation of synthetic lethality that exists between one of the components of the BER pathway, PARP1 (poly ADP ribose polymerase), and both BRCA1 and BRCA2. In the present study, we have performed a comprehensive analysis of 18 genes involved in BER using a tagging SNP approach in a large series of BRCA1 and BRCA2 mutation carriers. 144 SNPs were analyzed in a two stage study involving 23,463 carriers from the CIMBA consortium (the Consortium of Investigators of Modifiers of BRCA1 and BRCA2). Eleven SNPs showed evidence of association with breast and/or ovarian cancer at p<0.05 in the combined analysis. Four of the five genes for which strongest evidence of association was observed were DNA glycosylases. The strongest evidence was for rs1466785 in the NEIL2 (endonuclease VIII-like 2) gene (HR: 1.09, 95% CI (1.03-1.16), p = 2.7 x 10(-3)) for association with breast cancer risk in BRCA2 mutation carriers, and rs2304277 in the OGG1 (8-guanine DNA glycosylase) gene, with ovarian cancer risk in BRCA1 mutation carriers (HR: 1.12 95%CI: 1.03-1.21, p = 4.8 x 10(-3)). DNA glycosylases involved in the first steps of the BER pathway may be associated with cancer risk in BRCA1/2 mutation carriers and should be more comprehensively studied.
Published: 2014

19. Associations of common breast cancer susceptibility alleles with risk of breast cancer subtypes in BRCA1 and BRCA2 mutation carriers

Author: Kuchenbaecker, K, Neuhausen, S, Robson, M, Barrowdale, D, Mcguffog, L, Mulligan, A, Andrulis, I, Spurdle, A, Schmidt, M, Schmutzler, R, Engel, C, Wappenschmidt, B, Nevanlinna, H, Thomassen, M, Southey, M, Radice, P, Ramus, S, Domchek, S, Nathanson, K, Lee, A, Healey, S, Nussbaum, R, Rebbeck, T, Arun, B, James, P, Karlan, B, Lester, J, Cass, I, Breast Cancer Family, R, Terry, M, Daly, M, Goldgar, D, Buys, S, Janavicius, R, Tihomirova, L, Tung, N, Dorfling, C, van Rensburg, E, Steele, L, v. O. Hansen, T, Ejlertsen, B, Gerdes, A, Nielsen, F, Dennis, J, Cunningham, J, Hart, S, Slager, S, Osorio, A, Benitez, J, Duran, M, Weitzel, J, Tafur, I, Hander, M, Peterlongo, P, Manoukian, S, Peissel, B, Roversi, G, Scuvera, G, Bonanni, B, Mariani, P, Volorio, S, Dolcetti, R, Varesco, L, Papi, L, Tibiletti, M, Giannini, G, Fostira, F, Konstantopoulou, I, Garber, J, Hamann, U, Donaldson, A, Brewer, C, Foo, C, Evans, D, Frost, D, Eccles, D, Embrace, S, Douglas, F, Brady, A, Cook, J, Tischkowitz, M, Adlard, J, Barwell, J, Ong, K, Walker, L, Izatt, L, Side, L, Kennedy, M, Rogers, M, Porteous, M, Morrison, P, Platte, R, Eeles, R, Davidson, R, Hodgson, S, Ellis, S, Godwin, A, Rhiem, K, Meindl, A, Ditsch, N, Arnold, N, Plendl, H, Niederacher, D, Sutter, C, Steinemann, D, Bogdanova Markov, N, Kast, K, Varon Mateeva, R, Wang Gohrke, S, Gehrig, A, Markiefka, B, Buecher, B, Lefol, C, Stoppa Lyonnet, D, Rouleau, E, Prieur, F, Damiola, F, GEMO Study, C, Barjhoux, L, Faivre, L, Longy, M, Sevenet, N, Sinilnikova, O, Mazoyer, S, Bonadona, V, Caux Moncoutier, V, Isaacs, C, Van Maerken, T, Claes, K, Piedmonte, M, Andrews, L, Hays, J, Rodriguez, G, Caldes, T, de la Hoya, M, Khan, S, Hogervorst, F, Aalfs, C, de Lange, J, Meijers Heijboer, H, van der Hout, A, Wijnen, J, van Roozendaal, K, Mensenkamp, A, van den Ouweland, A, van Deurzen, C, van der Luijt, R, Hebon, Olah, E, Diez, O, Lazaro, C, Blanco, I, Teulé, A, Menendez, M, Jakubowska, A, Lubinski, J, Cybulski, C, Gronwald, J, Jaworska Bieniek, K, Durda, K, Arason, A, Maugard, C, Soucy, P, Montagna, M, Agata, S, Teixeira, M, Kconfab, I, Olswold, C, Lindor, N, Pankratz, V, Hallberg, E, Wang, X, Szabo, C, Vijai, J, Jacobs, L, Corines, M, Lincoln, A, Berger, A, Fink Retter, A, Singer, C, Rappaport, C, Kaulich, D, Pfeiler, G, Tea, M, Phelan, C, Mai, P, Greene, M, Rennert, G, Imyanitov, E, Glendon, G, Toland, A, Bojesen, A, Pedersen, I, Jensen, U, Caligo, M, Friedman, E, Berger, R, Laitman, Y, Rantala, J, Arver, B, Loman, N, Borg, A, Ehrencrona, H, Olopade, O, Simard, J, Easton, D, Chenevix Trench, G, Offit, K, Couch, F, Antoniou, A, Cimba, Kuchenbaecker, KB, Neuhausen, SL, McGuffog, L, Mulligan, AM, Andrulis, IL, Spurdle, AB, Schmidt, MK, Schmutzler, RK, Ramus, SJ, Domchek, SM, Nathanson, KL, Nussbaum, RL, Rebbeck, TR, Arun, BK, Karlan, BY, Breast Cancer Family Registry, Terry, MB, Daly, MB, Goldgar, DE, Buys, SS, Dorfling, CM, van Rensburg, EJ, Gerdes, AM, Nielsen, FC, Weitzel, JN, ROVERSI, GAIA, Tibiletti, MG, Evans, DG, EMBRACE Study, Ong, KR, Side, LE, Kennedy, MJ, Rogers, MT, Porteous, ME, Morrison, PJ, Godwin, AK, GEMO Study Collaborators, Sinilnikova, OM, Rodriguez, GC, Hogervorst, FB, Aalfs, CM, de Lange, JL, Meijers Heijboer, HE, van der Hout, AH, Wijnen, JT, van Roozendaal, KE, Mensenkamp, AR, van den Ouweland, AM, van Deurzen, CH, van der Luijt, RB, HEBON, Teixeira, MR, KConFab, Investigators, Pankratz, VS, Szabo, CI, Singer, CF, Kaulich, DG, Tea, MK, Phelan, CM, Mai, PL, Greene, MH, Imyanitov, EN, Toland, AE, Pedersen, IS, Jensen, UB, Caligo, MA, Olopade, OI, Easton, DF, Couch, FJ, Antoniou, AC, CIMBA, Kuchenbaecker, K, Neuhausen, S, Robson, M, Barrowdale, D, Mcguffog, L, Mulligan, A, Andrulis, I, Spurdle, A, Schmidt, M, Schmutzler, R, Engel, C, Wappenschmidt, B, Nevanlinna, H, Thomassen, M, Southey, M, Radice, P, Ramus, S, Domchek, S, Nathanson, K, Lee, A, Healey, S, Nussbaum, R, Rebbeck, T, Arun, B, James, P, Karlan, B, Lester, J, Cass, I, Breast Cancer Family, R, Terry, M, Daly, M, Goldgar, D, Buys, S, Janavicius, R, Tihomirova, L, Tung, N, Dorfling, C, van Rensburg, E, Steele, L, v. O. Hansen, T, Ejlertsen, B, Gerdes, A, Nielsen, F, Dennis, J, Cunningham, J, Hart, S, Slager, S, Osorio, A, Benitez, J, Duran, M, Weitzel, J, Tafur, I, Hander, M, Peterlongo, P, Manoukian, S, Peissel, B, Roversi, G, Scuvera, G, Bonanni, B, Mariani, P, Volorio, S, Dolcetti, R, Varesco, L, Papi, L, Tibiletti, M, Giannini, G, Fostira, F, Konstantopoulou, I, Garber, J, Hamann, U, Donaldson, A, Brewer, C, Foo, C, Evans, D, Frost, D, Eccles, D, Embrace, S, Douglas, F, Brady, A, Cook, J, Tischkowitz, M, Adlard, J, Barwell, J, Ong, K, Walker, L, Izatt, L, Side, L, Kennedy, M, Rogers, M, Porteous, M, Morrison, P, Platte, R, Eeles, R, Davidson, R, Hodgson, S, Ellis, S, Godwin, A, Rhiem, K, Meindl, A, Ditsch, N, Arnold, N, Plendl, H, Niederacher, D, Sutter, C, Steinemann, D, Bogdanova Markov, N, Kast, K, Varon Mateeva, R, Wang Gohrke, S, Gehrig, A, Markiefka, B, Buecher, B, Lefol, C, Stoppa Lyonnet, D, Rouleau, E, Prieur, F, Damiola, F, GEMO Study, C, Barjhoux, L, Faivre, L, Longy, M, Sevenet, N, Sinilnikova, O, Mazoyer, S, Bonadona, V, Caux Moncoutier, V, Isaacs, C, Van Maerken, T, Claes, K, Piedmonte, M, Andrews, L, Hays, J, Rodriguez, G, Caldes, T, de la Hoya, M, Khan, S, Hogervorst, F, Aalfs, C, de Lange, J, Meijers Heijboer, H, van der Hout, A, Wijnen, J, van Roozendaal, K, Mensenkamp, A, van den Ouweland, A, van Deurzen, C, van der Luijt, R, Hebon, Olah, E, Diez, O, Lazaro, C, Blanco, I, Teulé, A, Menendez, M, Jakubowska, A, Lubinski, J, Cybulski, C, Gronwald, J, Jaworska Bieniek, K, Durda, K, Arason, A, Maugard, C, Soucy, P, Montagna, M, Agata, S, Teixeira, M, Kconfab, I, Olswold, C, Lindor, N, Pankratz, V, Hallberg, E, Wang, X, Szabo, C, Vijai, J, Jacobs, L, Corines, M, Lincoln, A, Berger, A, Fink Retter, A, Singer, C, Rappaport, C, Kaulich, D, Pfeiler, G, Tea, M, Phelan, C, Mai, P, Greene, M, Rennert, G, Imyanitov, E, Glendon, G, Toland, A, Bojesen, A, Pedersen, I, Jensen, U, Caligo, M, Friedman, E, Berger, R, Laitman, Y, Rantala, J, Arver, B, Loman, N, Borg, A, Ehrencrona, H, Olopade, O, Simard, J, Easton, D, Chenevix Trench, G, Offit, K, Couch, F, Antoniou, A, Cimba, Kuchenbaecker, KB, Neuhausen, SL, McGuffog, L, Mulligan, AM, Andrulis, IL, Spurdle, AB, Schmidt, MK, Schmutzler, RK, Ramus, SJ, Domchek, SM, Nathanson, KL, Nussbaum, RL, Rebbeck, TR, Arun, BK, Karlan, BY, Breast Cancer Family Registry, Terry, MB, Daly, MB, Goldgar, DE, Buys, SS, Dorfling, CM, van Rensburg, EJ, Gerdes, AM, Nielsen, FC, Weitzel, JN, ROVERSI, GAIA, Tibiletti, MG, Evans, DG, EMBRACE Study, Ong, KR, Side, LE, Kennedy, MJ, Rogers, MT, Porteous, ME, Morrison, PJ, Godwin, AK, GEMO Study Collaborators, Sinilnikova, OM, Rodriguez, GC, Hogervorst, FB, Aalfs, CM, de Lange, JL, Meijers Heijboer, HE, van der Hout, AH, Wijnen, JT, van Roozendaal, KE, Mensenkamp, AR, van den Ouweland, AM, van Deurzen, CH, van der Luijt, RB, HEBON, Teixeira, MR, KConFab, Investigators, Pankratz, VS, Szabo, CI, Singer, CF, Kaulich, DG, Tea, MK, Phelan, CM, Mai, PL, Greene, MH, Imyanitov, EN, Toland, AE, Pedersen, IS, Jensen, UB, Caligo, MA, Olopade, OI, Easton, DF, Couch, FJ, Antoniou, AC, and CIMBA
Abstract: Introduction: More than 70 common alleles are known to be involved in breast cancer (BC) susceptibility, and several exhibit significant heterogeneity in their associations with different BC subtypes. Although there are differences in the association patterns between BRCA1 and BRCA2 mutation carriers and the general population for several loci, no study has comprehensively evaluated the associations of all known BC susceptibility alleles with risk of BC subtypes in BRCA1 and BRCA2 carriers. Methods: We used data from 15,252 BRCA1 and 8,211 BRCA2 carriers to analyze the associations between approximately 200,000 genetic variants on the iCOGS array and risk of BC subtypes defined by estrogen receptor (ER), progesterone receptor (PR), human epidermal growth factor receptor 2 (HER2) and triple-negative- (TN) status; morphologic subtypes; histological grade; and nodal involvement. Results: The estimated BC hazard ratios (HRs) for the 74 known BC alleles in BRCA1 carriers exhibited moderate correlations with the corresponding odds ratios from the general population. However, their associations with ER-positive BC in BRCA1 carriers were more consistent with the ER-positive associations in the general population (intraclass correlation (ICC)=0.61, 95% confidence interval (CI): 0.45 to 0.74), and the same was true when considering ER-negative associations in both groups (ICC=0.59, 95% CI: 0.42 to 0.72). Similarly, there was strong correlation between the ER-positive associations for BRCA1 and BRCA2 carriers (ICC=0.67, 95% CI: 0.52 to 0.78), whereas ER-positive associations in any one of the groups were generally inconsistent with ER-negative associations in any of the others. After stratifying by ER status in mutation carriers, additional significant associations were observed. Several previously unreported variants exhibited associations at P <10-6 in the analyses by PR status, HER2 status, TN phenotype, morphologic subtypes, histological grade and nodal involvement. Con
Published: 2014

20. P93 OPTIMISING THE SELECTION OF GENETIC MARKERS FOR MENDELIAN RANDOMISATION EXPERIMENTS

Author: Swerdlow, D., primary, Sofat, R., additional, Shah, T., additional, Kuchenbaecker, K., additional, Mindell, J., additional, Kumari, M., additional, Kivimaki, M., additional, Casas, J.P., additional, Brunner, E., additional, and Hingorani, A., additional
Published: 2010
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21. BOADICEA breast cancer risk prediction model: updates to cancer incidences, tumour pathology and web interface.

Author: Lee, A J, Cunningham, A P, Kuchenbaecker, K B, Mavaddat, N, Easton, D F, and Antoniou, A C
Subjects: BREAST cancer risk factors, PREDICTION models, OVARIAN cancer, PROBABILITY theory, DISEASE susceptibility, HEALTH risk assessment
Abstract: Background:The Breast and Ovarian Analysis of Disease Incidence and Carrier Estimation Algorithm (BOADICEA) is a risk prediction model that is used to compute probabilities of carrying mutations in the high-risk breast and ovarian cancer susceptibility genes BRCA1 and BRCA2, and to estimate the future risks of developing breast or ovarian cancer. In this paper, we describe updates to the BOADICEA model that extend its capabilities, make it easier to use in a clinical setting and yield more accurate predictions.Methods:We describe: (1) updates to the statistical model to include cancer incidences from multiple populations; (2) updates to the distributions of tumour pathology characteristics using new data on BRCA1 and BRCA2 mutation carriers and women with breast cancer from the general population; (3) improvements to the computational efficiency of the algorithm so that risk calculations now run substantially faster; and (4) updates to the model's web interface to accommodate these new features and to make it easier to use in a clinical setting.Results:We present results derived using the updated model, and demonstrate that the changes have a significant impact on risk predictions.Conclusion:All updates have been implemented in a new version of the BOADICEA web interface that is now available for general use: http://ccge.medschl.cam.ac.uk/boadicea/. [ABSTRACT FROM AUTHOR]
Published: 2014
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22. The OncoArray Consortium: A Network for Understanding the Genetic Architecture of Common Cancers

Author: Amos, CI, Dennis, J, Wang, Z, Byun, J, Schumacher, FR, Gayther, SA, Casey, G, Hunter, DJ, Sellers, TA, Gruber, SB, Dunning, AM, Michailidou, K, Fachal, L, Doheny, K, Spurdle, AB, Li, Y, Xiao, X, Romm, J, Pugh, E, Coetzee, GA, Hazelett, DJ, Bojesen, SE, Caga-Anan, C, Haiman, CA, Kamal, A, Luccarini, C, Tessier, D, Vincent, D, Bacot, F, Van Den Berg, DJ, Nelson, S, Demetriades, S, Goldgar, DE, Couch, FJ, Forman, JL, Giles, GG, Conti, DV, Bickeböller, H, Risch, A, Waldenberger, M, Brüske-Hohlfeld, I, Hicks, BD, Ling, H, McGuffog, L, Lee, A, Kuchenbaecker, K, Soucy, P, Manz, J, Cunningham, JM, Butterbach, K, Kote-Jarai, Z, Kraft, P, FitzGerald, L, Lindström, S, Adams, M, McKay, JD, Phelan, CM, Benlloch, S, Kelemen, LE, Brennan, P, Riggan, M, O'Mara, TA, Shen, H, Shi, Y, Thompson, DJ, Goodman, MT, Nielsen, SF, Berchuck, A, Laboissiere, S, Schmit, SL, Shelford, T, Edlund, CK, Taylor, JA, Field, JK, Park, SK, Offit, K, Thomassen, M, Schmutzler, R, Ottini, L, Hung, RJ, Marchini, J, Amin Al Olama, A, Peters, U, Eeles, RA, Seldin, MF, Gillanders, E, Seminara, D, Antoniou, AC, Pharoah, PDP, Chenevix-Trench, G, Chanock, SJ, Simard, J, and Easton, DF
Subjects: Male, Genotype, Genetic Variation, Prognosis, Polymorphism, Single Nucleotide, Risk Assessment, 3. Good health, Neoplasms, Prevalence, Humans, Female, Genetic Predisposition to Disease, Selection, Genetic, Genome-Wide Association Study
Abstract: BACKGROUND: Common cancers develop through a multistep process often including inherited susceptibility. Collaboration among multiple institutions, and funding from multiple sources, has allowed the development of an inexpensive genotyping microarray, the OncoArray. The array includes a genome-wide backbone, comprising 230,000 SNPs tagging most common genetic variants, together with dense mapping of known susceptibility regions, rare variants from sequencing experiments, pharmacogenetic markers, and cancer-related traits. METHODS: The OncoArray can be genotyped using a novel technology developed by Illumina to facilitate efficient genotyping. The consortium developed standard approaches for selecting SNPs for study, for quality control of markers, and for ancestry analysis. The array was genotyped at selected sites and with prespecified replicate samples to permit evaluation of genotyping accuracy among centers and by ethnic background. RESULTS: The OncoArray consortium genotyped 447,705 samples. A total of 494,763 SNPs passed quality control steps with a sample success rate of 97% of the samples. Participating sites performed ancestry analysis using a common set of markers and a scoring algorithm based on principal components analysis. CONCLUSIONS: Results from these analyses will enable researchers to identify new susceptibility loci, perform fine-mapping of new or known loci associated with either single or multiple cancers, assess the degree of overlap in cancer causation and pleiotropic effects of loci that have been identified for disease-specific risk, and jointly model genetic, environmental, and lifestyle-related exposures. IMPACT: Ongoing analyses will shed light on etiology and risk assessment for many types of cancer. Cancer Epidemiol Biomarkers Prev; 26(1); 126-35. ©2016 AACR.

23. Genome-wide association study in BRCA1 mutation carriers identifies novel loci associated with breast and ovarian cancer risk

Author: Couch, F. J., Wang, X., McGuffog, L., Lee, A., Olswold, C., Kuchenbaecker, K. B., Soucy, P., Weber, Bernhard H. F., and et al, .
Subjects: endocrine system diseases, 610 Medizin, skin and connective tissue diseases, 3. Good health
Abstract: BRCA1-associated breast and ovarian cancer risks can be modified by common genetic variants. To identify further cancer risk-modifying loci, we performed a multi-stage GWAS of 11,705 BRCA1 carriers (of whom 5,920 were diagnosed with breast and 1,839 were diagnosed with ovarian cancer), with a further replication in an additional sample of 2,646 BRCA1 carriers. We identified a novel breast cancer risk modifier locus at 1q32 for BRCA1 carriers (rs2290854, P = 2.7×10−8, HR = 1.14, 95% CI: 1.09–1.20). In addition, we identified two novel ovarian cancer risk modifier loci: 17q21.31 (rs17631303, P = 1.4×10−8, HR = 1.27, 95% CI: 1.17–1.38) and 4q32.3 (rs4691139, P = 3.4×10−8, HR = 1.20, 95% CI: 1.17–1.38). The 4q32.3 locus was not associated with ovarian cancer risk in the general population or BRCA2 carriers, suggesting a BRCA1-specific association. The 17q21.31 locus was also associated with ovarian cancer risk in 8,211 BRCA2 carriers (P = 2×10−4). These loci may lead to an improved understanding of the etiology of breast and ovarian tumors in BRCA1 carriers. Based on the joint distribution of the known BRCA1 breast cancer risk-modifying loci, we estimated that the breast cancer lifetime risks for the 5% of BRCA1 carriers at lowest risk are 28%–50% compared to 81%–100% for the 5% at highest risk. Similarly, based on the known ovarian cancer risk-modifying loci, the 5% of BRCA1 carriers at lowest risk have an estimated lifetime risk of developing ovarian cancer of 28% or lower, whereas the 5% at highest risk will have a risk of 63% or higher. Such differences in risk may have important implications for risk prediction and clinical management for BRCA1 carriers.

24. Associations of common breast cancer susceptibility alleles with risk of breast cancer subtypes in BRCA1 and BRCA2 mutation carriers

Author: Kuchenbaecker, Karoline B, Neuhausen, Susan L, Robson, Mark, Barrowdale, Daniel, McGuffog, Lesley, Mulligan, Anna Marie, Andrulis, Irene L, Spurdle, Amanda B, Schmidt, Marjanka K, Schmutzler, Rita K, Engel, Christoph, Wappenschmidt, Barbara, Nevanlinna, Heli, Thomassen, Mads, Southey, Melissa, Radice, Paolo, Ramus, Susan J, Domchek, Susan M, Nathanson, Katherine L, Lee, Andrew, Healey, Sue, Nussbaum, Robert L, Rebbeck, Timothy R, Arun, Banu K, James, Paul, Karlan, Beth Y, Lester, Jenny, Cass, Ilana, Breast Cancer Family Registry, the, Terry, Mary Beth, Daly, Mary B, Goldgar, David E, Buys, Saundra S, Janavicius, Ramunas, Tihomirova, Laima, Tung, Nadine, Dorfling, Cecilia M, van Rensburg, Elizabeth J, Steele, Linda, v O Hansen, Thomas, Ejlertsen, Bent, Gerdes, Anne-Marie, Nielsen, Finn C, Dennis, Joe, Cunningham, Julie, Hart, Steven, Slager, Susan, Osorio, Ana, Benitez, Javier, Duran, Mercedes, Weitzel, Jeffrey N, Tafur, Isaac, Hander, Mary, Peterlongo, Paolo, Manoukian, Siranoush, Peissel, Bernard, Roversi, Gaia, Scuvera, Giulietta, Bonanni, Bernardo, Mariani, Paolo, Volorio, Sara, Dolcetti, Riccardo, Varesco, Liliana, Papi, Laura, Tibiletti, Maria Grazia, Giannini, Giuseppe, Fostira, Florentia, Konstantopoulou, Irene, Garber, Judy, Hamann, Ute, Donaldson, Alan, Brewer, Carole, Foo, Claire, Evans, D Gareth, Frost, Debra, Eccles, Diana, EMBRACE Study, the, Douglas, Fiona, Brady, Angela, Cook, Jackie, Tischkowitz, Marc, Adlard, Julian, Barwell, Julian, Ong, Kai-ren, Walker, Lisa, Izatt, Louise, Side, Lucy E, Kennedy, M John, Rogers, Mark T, Porteous, Mary E, Morrison, Patrick J, Platte, Radka, Eeles, Ros, Davidson, Rosemarie, Hodgson, Shirley, Ellis, Steve, Godwin, Andrew K, Rhiem, Kerstin, Meindl, Alfons, Ditsch, Nina, Arnold, Norbert, Plendl, Hansjoerg, Niederacher, Dieter, Sutter, Christian, Steinemann, Doris, Bogdanova-Markov, Nadja, Kast, Karin, Varon-Mateeva, Raymonda, Wang-Gohrke, Shan, Gehrig, Andrea, Markiefka, Birgid, Buecher, Bruno, Lefol, Cédrick, Stoppa-Lyonnet, Dominique, Rouleau, Etienne, Prieur, Fabienne, Damiola, Francesca, GEMO Study Collaborators, the, Barjhoux, Laure, Faivre, Laurence, Longy, Michel, Sevenet, Nicolas, Sinilnikova, Olga M, Mazoyer, Sylvie, Bonadona, Valérie, Caux-Moncoutier, Virginie, Isaacs, Claudine, Van Maerken, Tom, Claes, Kathleen, Piedmonte, Marion, Andrews, Lesley, Hays, John, Rodriguez, Gustavo C, Caldes, Trinidad, de la Hoya, Miguel, Khan, Sofia, Hogervorst, Frans BL, Aalfs, Cora M, de Lange, JL, Meijers-Heijboer, Hanne EJ, van der Hout, Annemarie H, Wijnen, Juul T, van Roozendaal, KEP, Mensenkamp, Arjen R, van den Ouweland, Ans MW, van Deurzen, Carolien HM, van der Luijt, Rob B, HEBON, ., Olah, Edith, Diez, Orland, Lazaro, Conxi, Blanco, Ignacio, Teulé, Alex, Menendez, Mireia, Jakubowska, Anna, Lubinski, Jan, Cybulski, Cezary, Gronwald, Jacek, Jaworska-Bieniek, Katarzyna, Durda, Katarzyna, Arason, Adalgeir, Maugard, Christine, Soucy, Penny, Montagna, Marco, Agata, Simona, Teixeira, Manuel R, KConFab Investigators, the, Olswold, Curtis, Lindor, Noralane, Pankratz, Vernon S, Hallberg, Emily, Wang, Xianshu, Szabo, Csilla I, Vijai, Joseph, Jacobs, Lauren, Corines, Marina, Lincoln, Anne, Berger, Andreas, Fink-Retter, Anneliese, Singer, Christian F, Rappaport, Christine, Gschwantler Kaulich, Daphne, Pfeiler, Georg, Tea, Muy-Kheng, Phelan, Catherine M, Mai, Phuong L, Greene, Mark H, Rennert, Gad, Imyanitov, Evgeny N, Glendon, Gord, Toland, Amanda Ewart, Bojesen, Anders, Pedersen, Inge Sokilde, Jensen, Uffe Birk, Caligo, Maria A, Friedman, Eitan, Berger, Raanan, Laitman, Yael, Rantala, Johanna, Arver, Brita, Loman, Niklas, Borg, Ake, Ehrencrona, Hans, Olopade, Olufunmilayo I, Simard, Jacques, Easton, Douglas F, Chenevix-Trench, Georgia, Offit, Kenneth, Couch, Fergus J, Antoniou, Antonis C, CIMBA, on behalf of, Kuchenbaecker, K, Neuhausen, S, Robson, M, Barrowdale, D, Mcguffog, L, Mulligan, A, Andrulis, I, Spurdle, A, Schmidt, M, Schmutzler, R, Engel, C, Wappenschmidt, B, Nevanlinna, H, Thomassen, M, Southey, M, Radice, P, Ramus, S, Domchek, S, Nathanson, K, Lee, A, Healey, S, Nussbaum, R, Rebbeck, T, Arun, B, James, P, Karlan, B, Lester, J, Cass, I, Breast Cancer Family, R, Terry, M, Daly, M, Goldgar, D, Buys, S, Janavicius, R, Tihomirova, L, Tung, N, Dorfling, C, van Rensburg, E, Steele, L, v. O. Hansen, T, Ejlertsen, B, Gerdes, A, Nielsen, F, Dennis, J, Cunningham, J, Hart, S, Slager, S, Osorio, A, Benitez, J, Duran, M, Weitzel, J, Tafur, I, Hander, M, Peterlongo, P, Manoukian, S, Peissel, B, Roversi, G, Scuvera, G, Bonanni, B, Mariani, P, Volorio, S, Dolcetti, R, Varesco, L, Papi, L, Tibiletti, M, Giannini, G, Fostira, F, Konstantopoulou, I, Garber, J, Hamann, U, Donaldson, A, Brewer, C, Foo, C, Evans, D, Frost, D, Eccles, D, Embrace, S, Douglas, F, Brady, A, Cook, J, Tischkowitz, M, Adlard, J, Barwell, J, Ong, K, Walker, L, Izatt, L, Side, L, Kennedy, M, Rogers, M, Porteous, M, Morrison, P, Platte, R, Eeles, R, Davidson, R, Hodgson, S, Ellis, S, Godwin, A, Rhiem, K, Meindl, A, Ditsch, N, Arnold, N, Plendl, H, Niederacher, D, Sutter, C, Steinemann, D, Bogdanova Markov, N, Kast, K, Varon Mateeva, R, Wang Gohrke, S, Gehrig, A, Markiefka, B, Buecher, B, Lefol, C, Stoppa Lyonnet, D, Rouleau, E, Prieur, F, Damiola, F, GEMO Study, C, Barjhoux, L, Faivre, L, Longy, M, Sevenet, N, Sinilnikova, O, Mazoyer, S, Bonadona, V, Caux Moncoutier, V, Isaacs, C, Van Maerken, T, Claes, K, Piedmonte, M, Andrews, L, Hays, J, Rodriguez, G, Caldes, T, de la Hoya, M, Khan, S, Hogervorst, F, Aalfs, C, de Lange, J, Meijers Heijboer, H, van der Hout, A, Wijnen, J, van Roozendaal, K, Mensenkamp, A, van den Ouweland, A, van Deurzen, C, van der Luijt, R, Hebon, Olah, E, Diez, O, Lazaro, C, Blanco, I, Teulé, A, Menendez, M, Jakubowska, A, Lubinski, J, Cybulski, C, Gronwald, J, Jaworska Bieniek, K, Durda, K, Arason, A, Maugard, C, Soucy, P, Montagna, M, Agata, S, Teixeira, M, Kconfab, I, Olswold, C, Lindor, N, Pankratz, V, Hallberg, E, Wang, X, Szabo, C, Vijai, J, Jacobs, L, Corines, M, Lincoln, A, Berger, A, Fink Retter, A, Singer, C, Rappaport, C, Kaulich, D, Pfeiler, G, Tea, M, Phelan, C, Mai, P, Greene, M, Rennert, G, Imyanitov, E, Glendon, G, Toland, A, Bojesen, A, Pedersen, I, Jensen, U, Caligo, M, Friedman, E, Berger, R, Laitman, Y, Rantala, J, Arver, B, Loman, N, Borg, A, Ehrencrona, H, Olopade, O, Simard, J, Easton, D, Chenevix Trench, G, Offit, K, Couch, F, Antoniou, A, Cimba, Lee, Andrew [0000-0003-0677-0252], Dennis, Joe [0000-0003-4591-1214], Tischkowitz, Marc [0000-0002-7880-0628], Easton, Douglas [0000-0003-2444-3247], Antoniou, Antonis [0000-0001-9223-3116], and Apollo - University of Cambridge Repository
Subjects: Cancer Research, Receptor, ErbB-2, Genes, BRCA2, BRCA, LOCI, Genes, BRCA1, MODIFIERS, VARIANTS, ErbB-2, 610 Medical sciences Medicine, Ductal, Receptors, Medicine and Health Sciences, INVESTIGATORS, Breast, skin and connective tissue diseases, Progesterone, Medicine(all), Carcinoma, Ductal, Breast, Middle Aged, Adult, Aged, Alleles, Breast Neoplasms, Carcinoma, Carcinoma, Lobular, Female, Genetic Predisposition to Disease, Heterozygote, Humans, Neoplasm Grading, Neoplasm Staging, Receptors, Estrogen, Receptors, Progesterone, Oncology, TUMOR SUBTYPES, Receptor, Research Article, MEDULLARY CARCINOMA, OVARIAN-CANCER, Lobular, GENOME-WIDE ASSOCIATION, CONSORTIUM, BRCA1, Estrogen, BRCA2, ESTROGEN-RECEPTOR, Genes
Abstract: Introduction More than 70 common alleles are known to be involved in breast cancer (BC) susceptibility, and several exhibit significant heterogeneity in their associations with different BC subtypes. Although there are differences in the association patterns between BRCA1 and BRCA2 mutation carriers and the general population for several loci, no study has comprehensively evaluated the associations of all known BC susceptibility alleles with risk of BC subtypes in BRCA1 and BRCA2 carriers. Methods We used data from 15,252 BRCA1 and 8,211 BRCA2 carriers to analyze the associations between approximately 200,000 genetic variants on the iCOGS array and risk of BC subtypes defined by estrogen receptor (ER), progesterone receptor (PR), human epidermal growth factor receptor 2 (HER2) and triple-negative- (TN) status; morphologic subtypes; histological grade; and nodal involvement. Results The estimated BC hazard ratios (HRs) for the 74 known BC alleles in BRCA1 carriers exhibited moderate correlations with the corresponding odds ratios from the general population. However, their associations with ER-positive BC in BRCA1 carriers were more consistent with the ER-positive associations in the general population (intraclass correlation (ICC) = 0.61, 95% confidence interval (CI): 0.45 to 0.74), and the same was true when considering ER-negative associations in both groups (ICC = 0.59, 95% CI: 0.42 to 0.72). Similarly, there was strong correlation between the ER-positive associations for BRCA1 and BRCA2 carriers (ICC = 0.67, 95% CI: 0.52 to 0.78), whereas ER-positive associations in any one of the groups were generally inconsistent with ER-negative associations in any of the others. After stratifying by ER status in mutation carriers, additional significant associations were observed. Several previously unreported variants exhibited associations at P
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25. Prevalence and correlates of common mental disorders among participants of the Uganda Genome Resource: Opportunities for psychiatric genetics research.

Author: Kalungi A, Kinyanda E, Akena DH, Gelaye B, Ssembajjwe W, Mpango RS, Ongaria T, Mugisha J, Makanga R, Kakande A, Kimono B, Amanyire P, Kirumira F, Lewis CM, McIntosh AM, Kuchenbaecker K, Nyirenda M, Kaleebu P, and Fatumo S
Abstract: Genetics research has potential to alleviate the burden of mental disorders in low- and middle-income-countries through identification of new mechanistic pathways which can lead to efficacious drugs or new drug targets. However, there is currently limited genetics data from Africa. The Uganda Genome Resource provides opportunity for psychiatric genetics research among underrepresented people from Africa. We aimed at determining the prevalence and correlates of major depressive disorder (MDD), suicidality, post-traumatic stress disorder (PTSD), alcohol abuse, generalised anxiety disorder (GAD) and probable attention-deficit hyperactivity disorder (ADHD) among participants of the Uganda Genome Resource. Standardised tools assessed for each mental disorder. Prevalence of each disorder was calculated with 95% confidence intervals. Multivariate logistic regression models evaluated the association between each mental disorder and associated demographic and clinical factors. Among 985 participants, prevalence of the disorders were: current MDD 19.3%, life-time MDD 23.3%, suicidality 10.6%, PTSD 3.1%, alcohol abuse 5.7%, GAD 12.9% and probable ADHD 9.2%. This is the first study to determine the prevalence of probable ADHD among adult Ugandans from a general population. We found significant association between sex and alcohol abuse (adjusted odds ratio [AOR] = 0.26 [0.14,0.45], p < 0.001) and GAD (AOR = 1.78 [1.09,2.49], p = 0.019) respectively. We also found significant association between body mass index and suicidality (AOR = 0.85 [0.73,0.99], p = 0.041), alcohol abuse (AOR = 0.86 [0.78,0.94], p = 0.003) and GAD (AOR = 0.93 [0.87,0.98], p = 0.008) respectively. We also found a significant association between high blood pressure and life-time MDD (AOR = 2.87 [1.08,7.66], p = 0.035) and probable ADHD (AOR = 1.99 [1.00,3.97], p = 0.050) respectively. We also found a statistically significant association between tobacco smoking and alcohol abuse (AOR = 3.2 [1.56,6.67], p = 0.002). We also found ever been married to be a risk factor for probable ADHD (AOR = 2.12 [0.88,5.14], p = 0.049). The Uganda Genome Resource presents opportunity for psychiatric genetics research among underrepresented people from Africa., (© 2024. The Author(s).)
Published: 2024
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26. Comparing the effects of CETP in East Asian and European ancestries: a Mendelian randomization study.

Author: Dunca D, Chopade S, Gordillo-Marañón M, Hingorani AD, Kuchenbaecker K, Finan C, and Schmidt AF
Subjects: Female, Humans, Male, Middle Aged, Anticholesteremic Agents therapeutic use, Blood Pressure genetics, Blood Pressure drug effects, Cardiovascular Diseases genetics, Cholesterol, HDL blood, Coronary Disease genetics, Coronary Disease blood, East Asian People genetics, Polymorphism, Single Nucleotide, White People genetics, Cholesterol Ester Transfer Proteins genetics, Cholesterol, LDL blood, Mendelian Randomization Analysis
Abstract: CETP inhibitors are a class of lipid-lowering drugs in development for treatment of coronary heart disease (CHD). Genetic studies in East Asian ancestry have interpreted the lack of CETP signal with low-density lipoprotein cholesterol (LDL-C) and lack of drug target Mendelian randomization (MR) effect on CHD as evidence that CETP inhibitors might not be effective in East Asian participants. Capitalizing on recent increases in sample size of East Asian genetic studies, we conducted a drug target MR analysis, scaled to a standard deviation increase in high-density lipoprotein cholesterol. Despite finding evidence for possible neutral effects of lower CETP levels on LDL-C, systolic blood pressure and pulse pressure in East Asians (interaction p-values < 1.6 × 10 -3 ), effects on cardiovascular outcomes were similarly protective in both ancestry groups. In conclusion, on-target inhibition of CETP is anticipated to decrease cardiovascular disease in individuals of both European and East Asian ancestries., (© 2024. The Author(s).)
Published: 2024
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27. Is auditory processing measured by the N100 an endophenotype for psychosis? A family study and a meta-analysis.

Author: Wang B, Otten LJ, Schulze K, Afrah H, Varney L, Cotic M, Saadullah Khani N, Linden JF, Kuchenbaecker K, McQuillin A, Hall MH, and Bramon E
Subjects: Humans, Adult, Female, Male, Middle Aged, Auditory Perception physiology, Family, Young Adult, Electroencephalography, Adolescent, Psychotic Disorders physiopathology, Evoked Potentials, Auditory physiology, Endophenotypes
Abstract: Background: The N100, an early auditory event-related potential, has been found to be altered in patients with psychosis. However, it is unclear if the N100 is a psychosis endophenotype that is also altered in the relatives of patients., Methods: We conducted a family study using the auditory oddball paradigm to compare the N100 amplitude and latency across 243 patients with psychosis, 86 unaffected relatives, and 194 controls. We then conducted a systematic review and a random-effects meta-analysis pooling our results and 14 previously published family studies. We compared data from a total of 999 patients, 1192 relatives, and 1253 controls in order to investigate the evidence and degree of N100 differences., Results: In our family study, patients showed reduced N100 amplitudes and prolonged N100 latencies compared to controls, but no significant differences were found between unaffected relatives and controls. The meta-analysis revealed a significant reduction of the N100 amplitude and delay of the N100 latency in both patients with psychosis (standardized mean difference [s.m.d.] = -0.48 for N100 amplitude and s.m.d. = 0.43 for N100 latency) and their relatives (s.m.d. = - 0.19 for N100 amplitude and s.m.d. = 0.33 for N100 latency). However, only the N100 latency changes in relatives remained significant when excluding studies with affected relatives., Conclusions: N100 changes, especially prolonged N100 latencies, are present in both patients with psychosis and their relatives, making the N100 a promising endophenotype for psychosis. Such changes in the N100 may reflect changes in early auditory processing underlying the etiology of psychosis.
Published: 2024
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28. Investigating the association between schizophrenia and distance visual acuity: Mendelian randomisation study - CORRIGENDUM.

Author: Shoham N, Dunca D, Cooper C, Hayes JF, McQuillin A, Bass N, Lewis G, and Kuchenbaecker K
Published: 2024
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29. Multi-ancestry genome-wide association study of major depression aids locus discovery, fine mapping, gene prioritization and causal inference.

Author: Meng X, Navoly G, Giannakopoulou O, Levey DF, Koller D, Pathak GA, Koen N, Lin K, Adams MJ, Rentería ME, Feng Y, Gaziano JM, Stein DJ, Zar HJ, Campbell ML, van Heel DA, Trivedi B, Finer S, McQuillin A, Bass N, Chundru VK, Martin HC, Huang QQ, Valkovskaya M, Chu CY, Kanjira S, Kuo PH, Chen HC, Tsai SJ, Liu YL, Kendler KS, Peterson RE, Cai N, Fang Y, Sen S, Scott LJ, Burmeister M, Loos RJF, Preuss MH, Actkins KV, Davis LK, Uddin M, Wani AH, Wildman DE, Aiello AE, Ursano RJ, Kessler RC, Kanai M, Okada Y, Sakaue S, Rabinowitz JA, Maher BS, Uhl G, Eaton W, Cruz-Fuentes CS, Martinez-Levy GA, Campos AI, Millwood IY, Chen Z, Li L, Wassertheil-Smoller S, Jiang Y, Tian C, Martin NG, Mitchell BL, Byrne EM, Awasthi S, Coleman JRI, Ripke S, Sofer T, Walters RG, McIntosh AM, Polimanti R, Dunn EC, Stein MB, Gelernter J, Lewis CM, and Kuchenbaecker K
Subjects: Humans, Genetic Predisposition to Disease, Depression, Chromosome Mapping, Polymorphism, Single Nucleotide genetics, Genome-Wide Association Study, Depressive Disorder, Major genetics
Abstract: Most genome-wide association studies (GWAS) of major depression (MD) have been conducted in samples of European ancestry. Here we report a multi-ancestry GWAS of MD, adding data from 21 cohorts with 88,316 MD cases and 902,757 controls to previously reported data. This analysis used a range of measures to define MD and included samples of African (36% of effective sample size), East Asian (26%) and South Asian (6%) ancestry and Hispanic/Latin American participants (32%). The multi-ancestry GWAS identified 53 significantly associated novel loci. For loci from GWAS in European ancestry samples, fewer than expected were transferable to other ancestry groups. Fine mapping benefited from additional sample diversity. A transcriptome-wide association study identified 205 significantly associated novel genes. These findings suggest that, for MD, increasing ancestral and global diversity in genetic studies may be particularly important to ensure discovery of core genes and inform about transferability of findings., (© 2024. The Author(s).)
Published: 2024
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30. Polygenic prediction of major depressive disorder and related traits in African ancestries UK Biobank participants.

Author: Kanjira SC, Adams MJ, Yunxuan J, Chao T, Lewis CM, Kuchenbaecker K, and McIntosh AM
Abstract: Introduction: Genome-Wide Association Studies (GWAS) over-represent European ancestries compared to the global population, neglecting all other ancestry groups and low-income nations. Consequently, polygenic risk scores (PRS) more accurately predict complex traits in Europeans than African Ancestries groups. Very few studies have looked at the transferability of European-derived PRS for behavioural and mental health phenotypes to non-Europeans. We assessed the comparative accuracy of PRS for Major Depressive Disorder (MDD) trained on European and African Ancestries GWAS studies to predict MDD and related traits in African Ancestries participants from the UK Biobank., Methods: UK Biobank participants were selected based on Principal component analysis (PCA) clustering with an African genetic similarity reference population and MDD was assessed with the Composite International Diagnostic Interview (CIDI). Polygenic Risk Scores (PRS) were computed using PRSice2 using either European or African Ancestries GWAS summary statistics., Results: PRS trained on European ancestry samples (246,363 cases) predicted case control status in Africans of the UK Biobank with similar accuracies (190 cases, R 2 =2%) to PRS trained on far much smaller samples of African Ancestries participants from 23andMe, Inc. (5045 cases, R 2 =1.8%). This suggests that prediction of MDD status from Africans to Africans had greater efficiency per unit increase in the discovery sample size than prediction of MDD from Europeans to Africans. Prediction of MDD status in African UK Biobank participants using GWAS findings of causal risk factors from European ancestries was non-significant., Conclusion: GWAS studies of MDD in European ancestries are an inefficient means of improving polygenic prediction accuracy in African samples., Competing Interests: CONFLICT OF INTEREST Yunxuan Jiang, Chao Tian are employed by and hold stock or stock options in 23andMe, Inc. All other authors declare no conflict of interests. Cathryn Lewis sits on the scientific advisory board for Myriad Neuroscience, has received speaker fees from SYNLAB, and consultancy fees from UCB.
Published: 2023
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31. Psychosis Endophenotypes: A Gene-Set-Specific Polygenic Risk Score Analysis.

Author: Wang B, Irizar H, Thygesen JH, Zartaloudi E, Austin-Zimmerman I, Bhat A, Harju-Seppänen J, Pain O, Bass N, Gkofa V, Alizadeh BZ, van Amelsvoort T, Arranz MJ, Bender S, Cahn W, Stella Calafato M, Crespo-Facorro B, Di Forti M, Giegling I, de Haan L, Hall J, Hall MH, van Haren N, Iyegbe C, Kahn RS, Kravariti E, Lawrie SM, Lin K, Luykx JJ, Mata I, McDonald C, McIntosh AM, Murray RM, Picchioni M, Powell J, Prata DP, Rujescu D, Rutten BPF, Shaikh M, Simons CJP, Toulopoulou T, Weisbrod M, van Winkel R, Kuchenbaecker K, McQuillin A, and Bramon E
Subjects: Humans, Endophenotypes, Multifactorial Inheritance genetics, Risk Factors, Genetic Predisposition to Disease, Psychotic Disorders genetics, Psychotic Disorders complications, Schizophrenia genetics, Schizophrenia complications, Bipolar Disorder genetics, Bipolar Disorder complications
Abstract: Background and Hypothesis: Endophenotypes can help to bridge the gap between psychosis and its genetic predispositions, but their underlying mechanisms remain largely unknown. This study aims to identify biological mechanisms that are relevant to the endophenotypes for psychosis, by partitioning polygenic risk scores into specific gene sets and testing their associations with endophenotypes., Study Design: We computed polygenic risk scores for schizophrenia and bipolar disorder restricted to brain-related gene sets retrieved from public databases and previous publications. Three hundred and seventy-eight gene-set-specific polygenic risk scores were generated for 4506 participants. Seven endophenotypes were also measured in the sample. Linear mixed-effects models were fitted to test associations between each endophenotype and each gene-set-specific polygenic risk score., Study Results: After correction for multiple testing, we found that a reduced P300 amplitude was associated with a higher schizophrenia polygenic risk score of the forebrain regionalization gene set (mean difference per SD increase in the polygenic risk score: -1.15 µV; 95% CI: -1.70 to -0.59 µV; P = 6 × 10-5). The schizophrenia polygenic risk score of forebrain regionalization also explained more variance of the P300 amplitude (R2 = 0.032) than other polygenic risk scores, including the genome-wide polygenic risk scores., Conclusions: Our finding on reduced P300 amplitudes suggests that certain genetic variants alter early brain development thereby increasing schizophrenia risk years later. Gene-set-specific polygenic risk scores are a useful tool to elucidate biological mechanisms of psychosis and endophenotypes, offering leads for experimental validation in cellular and animal models., (© The Author(s) 2023. Published by Oxford University Press on behalf of the Maryland Psychiatric Research Center.)
Published: 2023
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32. Genome-wide association studies and cross-population meta-analyses investigating short and long sleep duration.

Author: Austin-Zimmerman I, Levey DF, Giannakopoulou O, Deak JD, Galimberti M, Adhikari K, Zhou H, Denaxas S, Irizar H, Kuchenbaecker K, McQuillin A, Concato J, Buysse DJ, Gaziano JM, Gottlieb DJ, Polimanti R, Stein MB, Bramon E, and Gelernter J
Subjects: Adult, Humans, Polymorphism, Single Nucleotide, Sleep genetics, Phenotype, Mendelian Randomization Analysis, Sleep Duration, Genome-Wide Association Study
Abstract: Sleep duration has been linked to a wide range of negative health outcomes and to reduced life expectancy. We present genome-wide association studies of short ( ≤ 5 h) and long ( ≥ 10 h) sleep duration in adults of European (N = 445,966), African (N = 27,785), East Asian (N = 3141), and admixed-American (N = 16,250) ancestry from UK Biobank and the Million Veteran Programme. In a cross-population meta-analysis, we identify 84 independent loci for short sleep and 1 for long sleep. We estimate SNP-based heritability for both sleep traits in each ancestry based on population derived linkage disequilibrium (LD) scores using cov-LDSC. We identify positive genetic correlation between short and long sleep traits (r g = 0.16 ± 0.04; p = 0.0002), as well as similar patterns of genetic correlation with other psychiatric and cardiometabolic phenotypes. Mendelian randomisation reveals a directional causal relationship between short sleep and depression, and a bidirectional causal relationship between long sleep and depression., (© 2023. Springer Nature Limited.)
Published: 2023
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33. Widespread genomic influences on phenotype in Dravet syndrome, a 'monogenic' condition.

Author: Martins Custodio H, Clayton LM, Bellampalli R, Pagni S, Silvennoinen K, Caswell R, Brunklaus A, Guerrini R, Koeleman BPC, Lemke JR, Møller RS, Scheffer IE, Weckhuysen S, Zara F, Zuberi S, Kuchenbaecker K, Balestrini S, Mills JD, and Sisodiya SM
Subjects: Humans, NAV1.1 Voltage-Gated Sodium Channel genetics, Phenotype, Genomics, Epilepsies, Myoclonic genetics, Epilepsy genetics
Abstract: Dravet syndrome is an archetypal rare severe epilepsy, considered 'monogenic', typically caused by loss-of-function SCN1A variants. Despite a recognizable core phenotype, its marked phenotypic heterogeneity is incompletely explained by differences in the causal SCN1A variant or clinical factors. In 34 adults with SCN1A-related Dravet syndrome, we show additional genomic variation beyond SCN1A contributes to phenotype and its diversity, with an excess of rare variants in epilepsy-related genes as a set and examples of blended phenotypes, including one individual with an ultra-rare DEPDC5 variant and focal cortical dysplasia. The polygenic risk score for intelligence was lower, and for longevity, higher, in Dravet syndrome than in epilepsy controls. The causal, major-effect, SCN1A variant may need to act against a broadly compromised genomic background to generate the full Dravet syndrome phenotype, whilst genomic resilience may help to ameliorate the risk of premature mortality in adult Dravet syndrome survivors., (© The Author(s) 2023. Published by Oxford University Press on behalf of the Guarantors of Brain.)
Published: 2023
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34. Study protocol of DIVERGE, the first genetic epidemiological study of major depressive disorder in Pakistan.

Author: Valkovskaya M, Hassan A, Zartaloudi E, Hussain F, Umar M, Khizar B, Khattak I, Gill SA, Khan SA, Dogar IA, Mustafa AB, Ansari MA, Qalb I Hyder S, Ali M, Ilyas N, Channar P, Mughal N, Channa S, Mufti K, Mufti AA, Hussain MI, Shafiq S, Tariq M, Khan MK, Chaudhry ST, Choudhary AR, Ali MN, Ali G, Hussain A, Rehman M, Ahmad N, Farooq S, Naeem F, Nasr T, Lewis G, Knowles JA, Ayub M, and Kuchenbaecker K
Subjects: Humans, Female, Case-Control Studies, Pakistan epidemiology, Mental Health, Risk Factors, Depressive Disorder, Major epidemiology, Depressive Disorder, Major genetics
Abstract: Introduction: Globally, 80% of the burdenof major depressive disorder (MDD) pertains to low- and middle-income countries. Research into genetic and environmental risk factors has the potential to uncover disease mechanisms that may contribute to better diagnosis and treatment of mental illness, yet has so far been largely limited to participants with European ancestry from high-income countries. The DIVERGE study was established to help overcome this gap and investigate genetic and environmental risk factors for MDD in Pakistan., Methods: DIVERGE aims to enrol 9000 cases and 4000 controls in hospitals across the country. Here, we provide the rationale for DIVERGE, describe the study protocol and characterise the sample using data from the first 500 cases. Exploratory data analysis is performed to describe demographics, socioeconomic status, environmental risk factors, family history of mental illness and psychopathology., Results and Discussion: Many participants had severe depression with 74% of patients who experienced multiple depressive episodes. It was a common practice to seek help for mental health struggles from faith healers and religious leaders. Socioeconomic variables reflected the local context with a large proportion of women not having access to any education and the majority of participants reporting no savings., Conclusion: DIVERGE is a carefully designed case-control study of MDD in Pakistan that captures diverse risk factors. As the largest genetic study in Pakistan, DIVERGE helps address the severe underrepresentation of people from South Asian countries in genetic as well as psychiatric research., (Copyright © 2022 The Author(s). Published by Wolters Kluwer Health, Inc.)
Published: 2023
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35. Investigating the association between schizophrenia and distance visual acuity: Mendelian randomisation study.

Author: Shoham N, Dunca D, Cooper C, Hayes JF, McQuillin A, Bass N, Lewis G, and Kuchenbaecker K
Abstract: Background: Increased rates of visual impairment are observed in people with schizophrenia., Aims: We assessed whether genetically predicted poor distance acuity is causally associated with schizophrenia, and whether genetically predicted schizophrenia is causally associated with poorer visual acuity., Method: We used bidirectional, two-sample Mendelian randomisation to assess the effect of poor distance acuity on schizophrenia risk, poorer visual acuity on schizophrenia risk and schizophrenia on visual acuity, in European and East Asian ancestry samples ranging from approximately 14 000 to 500 000 participants. Genetic instrumental variables were obtained from the largest available summary statistics: for schizophrenia, from the Psychiatric Genomics Consortium; for visual acuity, from the UK Biobank; and for poor distance acuity, from a meta-analysis of case-control samples. We used the inverse variance-weighted method and sensitivity analyses to test validity of results., Results: We found little evidence that poor distance acuity was causally associated with schizophrenia (odds ratio 1.00, 95% CI 0.91-1.10). Genetically predicted schizophrenia was associated with poorer visual acuity (mean difference in logMAR score: 0.024, 95% CI 0.014-0.033) in European ancestry samples, with a similar but less precise effect that in smaller East Asian ancestry samples (mean difference: 0.186, 95% CI -0.008 to 0.379)., Conclusions: Genetic evidence supports schizophrenia being a causal risk factor for poorer visual acuity, but not the converse. This highlights the importance of visual care for people with psychosis and refutes previous hypotheses that visual impairment is a potential target for prevention of schizophrenia.
Published: 2023
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36. Mendelian randomisation study of body composition and depression in people of East Asian ancestry highlights potential setting-specific causality.

Author: O'Loughlin J, Casanova F, Fairhurst-Hunter Z, Hughes A, Bowden J, Watkins ER, Freathy RM, Millwood IY, Lin K, Chen Z, Li L, Lv J, Walters RG, Howe LD, Kuchenbaecker K, and Tyrrell J
Subjects: Female, Humans, Male, Body Mass Index, Mendelian Randomization Analysis, Obesity genetics, Polymorphism, Single Nucleotide genetics, China, Body Composition genetics, Depression epidemiology, Depression genetics, East Asian People, Genome-Wide Association Study
Abstract: Background: Extensive evidence links higher body mass index (BMI) to higher odds of depression in people of European ancestry. However, our understanding of the relationship across different settings and ancestries is limited. Here, we test the relationship between body composition and depression in people of East Asian ancestry., Methods: Multiple Mendelian randomisation (MR) methods were used to test the relationship between (a) BMI and (b) waist-hip ratio (WHR) with depression. Firstly, we performed two-sample MR using genetic summary statistics from a recent genome-wide association study (GWAS) of depression (with 15,771 cases and 178,777 controls) in people of East Asian ancestry. We selected 838 single nucleotide polymorphisms (SNPs) correlated with BMI and 263 SNPs correlated with WHR as genetic instrumental variables to estimate the causal effect of BMI and WHR on depression using the inverse-variance weighted (IVW) method. We repeated these analyses stratifying by home location status: China versus UK or USA. Secondly, we performed one-sample MR in the China Kadoorie Biobank (CKB) in 100,377 participants. This allowed us to test the relationship separately in (a) males and females and (b) urban and rural dwellers. We also examined (c) the linearity of the BMI-depression relationship., Results: Both MR analyses provided evidence that higher BMI was associated with lower odds of depression. For example, a genetically-instrumented 1-SD higher BMI in the CKB was associated with lower odds of depressive symptoms [OR: 0.77, 95% CI: 0.63, 0.95]. There was evidence of differences according to place of residence. Using the IVW method, higher BMI was associated with lower odds of depression in people of East Asian ancestry living in China but there was no evidence for an association in people of East Asian ancestry living in the USA or UK. Furthermore, higher genetic BMI was associated with differential effects in urban and rural dwellers within China., Conclusions: This study provides the first MR evidence for an inverse relationship between BMI and depression in people of East Asian ancestry. This contrasts with previous findings in European populations and therefore the public health response to obesity and depression is likely to need to differ based on sociocultural factors for example, ancestry and place of residence. This highlights the importance of setting-specific causality when using genetic causal inference approaches and data from diverse populations to test hypotheses. This is especially important when the relationship tested is not purely biological and may involve sociocultural factors., (© 2023. The Author(s).)
Published: 2023
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37. Genetic risk scores and dementia risk across different ethnic groups in UK Biobank.

Author: Mukadam N, Giannakopoulou O, Bass N, Kuchenbaecker K, and McQuillin A
Subjects: Humans, Risk Factors, United Kingdom epidemiology, Biological Specimen Banks, Dementia epidemiology, Dementia genetics
Abstract: Background: Genetic Risk Scores (GRS) for predicting dementia risk have mostly been used in people of European ancestry with limited testing in other ancestry groups., Methods: We conducted a logistic regression with all-cause dementia as the outcome and z-standardised GRS as the exposure across diverse ethnic groups., Findings: There was variation in frequency of APOE alleles across ethnic groups. Per standard deviation (SD) increase in z-GRS including APOE, the odds ratio (OR) for dementia was 1.73 (95%CI 1.69-1.77). Z-GRS excluding APOE also increased dementia risk (OR 1.21 per SD increase, 95% CI 1.18-1.24) and there was no evidence that ethnicity modified this association. Prediction of secondary outcomes was less robust in those not of European ancestry when APOE was excluded from the GRS., Interpretation: z-GRS derived from studies in people of European ancestry can be used to quantify genetic risk in people from more diverse ancestry groups. Urgent work is needed to include people from diverse ancestries in future genetic risk studies to make this field more inclusive., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2022 Mukadam et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)
Published: 2022
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38. Missing heritability found for height.

Author: Kuchenbaecker K
Subjects: Humans, Body Height genetics, Genome-Wide Association Study
Published: 2022
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39. Transferability of genetic loci and polygenic scores for cardiometabolic traits in British Pakistani and Bangladeshi individuals.

Author: Huang QQ, Sallah N, Dunca D, Trivedi B, Hunt KA, Hodgson S, Lambert SA, Arciero E, Wright J, Griffiths C, Trembath RC, Hemingway H, Inouye M, Finer S, van Heel DA, Lumbers RT, Martin HC, and Kuchenbaecker K
Subjects: Asian People genetics, Genetic Loci, Humans, Pakistan, Polymorphism, Single Nucleotide, Coronary Artery Disease epidemiology, Coronary Artery Disease genetics, Genome-Wide Association Study
Abstract: Individuals with South Asian ancestry have a higher risk of heart disease than other groups but have been largely excluded from genetic research. Using data from 22,000 British Pakistani and Bangladeshi individuals with linked electronic health records from the Genes & Health cohort, we conducted genome-wide association studies of coronary artery disease and its key risk factors. Using power-adjusted transferability ratios, we found evidence for transferability for the majority of cardiometabolic loci powered to replicate. The performance of polygenic scores was high for lipids and blood pressure, but lower for BMI and coronary artery disease. Adding a polygenic score for coronary artery disease to clinical risk factors showed significant improvement in reclassification. In Mendelian randomisation using transferable loci as instruments, our findings were consistent with results in European-ancestry individuals. Taken together, trait-specific transferability of trait loci between populations is an important consideration with implications for risk prediction and causal inference., (© 2022. Crown.)
Published: 2022
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40. Polygenic risk scores indicate extreme ages at onset of breast cancer in female BRCA1/2 pathogenic variant carriers.

Author: Borde J, Laitman Y, Blümcke B, Niederacher D, Weber-Lassalle K, Sutter C, Rump A, Arnold N, Wang-Gohrke S, Horváth J, Gehrig A, Schmidt G, Dutrannoy V, Ramser J, Hentschel J, Meindl A, Schroeder C, Wappenschmidt B, Engel C, Kuchenbaecker K, Schmutzler RK, Friedman E, Hahnen E, and Ernst C
Subjects: Age of Onset, BRCA1 Protein genetics, BRCA2 Protein genetics, Female, Genes, BRCA2, Genetic Predisposition to Disease, Humans, Mutation, Risk Factors, Breast Neoplasms pathology, Ovarian Neoplasms genetics
Abstract: Background: Clinical management of women carrying a germline pathogenic variant (PV) in the BRCA1/2 genes demands for accurate age-dependent estimators of breast cancer (BC) risks, which were found to be affected by a variety of intrinsic and extrinsic factors. Here we assess the contribution of polygenic risk scores (PRSs) to the occurrence of extreme phenotypes with respect to age at onset, namely, primary BC diagnosis before the age of 35 years (early diagnosis, ED) and cancer-free survival until the age of 60 years (late/no diagnosis, LD) in female BRCA1/2 PV carriers., Methods: Overall, estrogen receptor (ER)-positive, and ER-negative BC PRSs as developed by Kuchenbaecker et al. for BC risk discrimination in female BRCA1/2 PV carriers were employed for PRS computation in a curated sample of 295 women of European descent carrying PVs in the BRCA1 (n=183) or the BRCA2 gene (n=112), and did either fulfill the ED criteria (n=162, mean age at diagnosis: 28.3 years, range: 20 to 34 years) or the LD criteria (n=133). Binomial logistic regression was applied to assess the association of standardized PRSs with either ED or LD under adjustment for patient recruitment criteria for germline testing and localization of BRCA1/2 PVs in the corresponding BC or ovarian cancer (OC) cluster regions., Results: For BRCA1 PV carriers, the standardized overall BC PRS displayed the strongest association with ED (odds ratio (OR) = 1.62; 95% confidence interval (CI): 1.16-2.31, p<0.01). Additionally, statistically significant associations of selection for the patient recruitment criteria for germline testing and localization of pathogenic PVs outside the BRCA1 OC cluster region with ED were observed. For BRCA2 PV carriers, the standardized PRS for ER-negative BC displayed the strongest association (OR = 2.27, 95% CI: 1.45-3.78, p<0.001)., Conclusions: PRSs contribute to the development of extreme phenotypes of female BRCA1/2 PV carriers with respect to age at primary BC diagnosis. Construction of optimized PRS SNP sets for BC risk stratification in BRCA1/2 PV carriers should be the task of future studies with larger, well-defined study samples. Furthermore, our results provide further evidence, that localization of PVs in BC/OC cluster regions might be considered in BC risk calculations for unaffected BRCA1/2 PV carriers., (© 2022. The Author(s).)
Published: 2022
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41. Integrating polygenic risk scores in the prediction of type 2 diabetes risk and subtypes in British Pakistanis and Bangladeshis: A population-based cohort study.

Author: Hodgson S, Huang QQ, Sallah N, Griffiths CJ, Newman WG, Trembath RC, Wright J, Lumbers RT, Kuchenbaecker K, van Heel DA, Mathur R, Martin HC, and Finer S
Subjects: Asian People, Cohort Studies, Female, Humans, Insulin, Pakistan epidemiology, Risk Factors, Diabetes Mellitus, Type 2 diagnosis, Diabetes Mellitus, Type 2 epidemiology, Diabetes Mellitus, Type 2 genetics
Abstract: Background: Type 2 diabetes (T2D) is highly prevalent in British South Asians, yet they are underrepresented in research. Genes & Health (G&H) is a large, population study of British Pakistanis and Bangladeshis (BPB) comprising genomic and routine health data. We assessed the extent to which genetic risk for T2D is shared between BPB and European populations (EUR). We then investigated whether the integration of a polygenic risk score (PRS) for T2D with an existing risk tool (QDiabetes) could improve prediction of incident disease and the characterisation of disease subtypes., Methods and Findings: In this observational cohort study, we assessed whether common genetic loci associated with T2D in EUR individuals were replicated in 22,490 BPB individuals in G&H. We replicated fewer loci in G&H (n = 76/338, 22%) than would be expected given power if all EUR-ascertained loci were transferable (n = 101, 30%; p = 0.001). Of the 27 transferable loci that were powered to interrogate this, only 9 showed evidence of shared causal variants. We constructed a T2D PRS and combined it with a clinical risk instrument (QDiabetes) in a novel, integrated risk tool (IRT) to assess risk of incident diabetes. To assess model performance, we compared categorical net reclassification index (NRI) versus QDiabetes alone. In 13,648 patients free from T2D followed up for 10 years, NRI was 3.2% for IRT versus QDiabetes (95% confidence interval (CI): 2.0% to 4.4%). IRT performed best in reclassification of individuals aged less than 40 years deemed low risk by QDiabetes alone (NRI 5.6%, 95% CI 3.6% to 7.6%), who tended to be free from comorbidities and slim. After adjustment for QDiabetes score, PRS was independently associated with progression to T2D after gestational diabetes (hazard ratio (HR) per SD of PRS 1.23, 95% CI 1.05 to 1.42, p = 0.028). Using cluster analysis of clinical features at diabetes diagnosis, we replicated previously reported disease subgroups, including Mild Age-Related, Mild Obesity-related, and Insulin-Resistant Diabetes, and showed that PRS distribution differs between subgroups (p = 0.002). Integrating PRS in this cluster analysis revealed a Probable Severe Insulin Deficient Diabetes (pSIDD) subgroup, despite the absence of clinical measures of insulin secretion or resistance. We also observed differences in rates of progression to micro- and macrovascular complications between subgroups after adjustment for confounders. Study limitations include the absence of an external replication cohort and the potential biases arising from missing or incorrect routine health data., Conclusions: Our analysis of the transferability of T2D loci between EUR and BPB indicates the need for larger, multiancestry studies to better characterise the genetic contribution to disease and its varied aetiology. We show that a T2D PRS optimised for this high-risk BPB population has potential clinical application in BPB, improving the identification of T2D risk (especially in the young) on top of an established clinical risk algorithm and aiding identification of subgroups at diagnosis, which may help future efforts to stratify care and treatment of the disease., Competing Interests: I have read the journal’s policy and the authors of this manuscript have the following competing interests: NS is now employed by GlaxoSmithKline.
Published: 2022
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42. A roadmap to increase diversity in genomic studies.

Author: Fatumo S, Chikowore T, Choudhury A, Ayub M, Martin AR, and Kuchenbaecker K
Subjects: Humans, Whole Genome Sequencing, Genome, Human genetics, Genomics methods
Abstract: Two decades ago, the sequence of the first human genome was published. Since then, advances in genome technologies have resulted in whole-genome sequencing and microarray-based genotyping of millions of human genomes. However, genetic and genomic studies are predominantly based on populations of European ancestry. As a result, the potential benefits of genomic research-including better understanding of disease etiology, early detection and diagnosis, rational drug design and improved clinical care-may elude the many underrepresented populations. Here, we describe factors that have contributed to the imbalance in representation of different populations and, leveraging our experiences in setting up genomic studies in diverse global populations, we propose a roadmap to enhancing inclusion and ensuring equal health benefits of genomics advances. Our Perspective highlights the importance of sincere, concerted global efforts toward genomic equity to ensure the benefits of genomic medicine are accessible to all., (© 2022. Springer Nature America, Inc.)
Published: 2022
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43. Mendelian randomization analyses implicate biogenesis of translation machinery in human aging.

Author: Javidnia S, Cranwell S, Mueller SH, Selman C, Tullet JMA, Kuchenbaecker K, and Alic N
Subjects: Animals, DNA-Directed RNA Polymerases, Humans, Mendelian Randomization Analysis, Ribosomal Proteins genetics, Ribosomes genetics, Ribosomes metabolism, Aging genetics, Protein Biosynthesis, RNA Polymerase I metabolism
Abstract: Reduced provision of protein translation machinery promotes healthy aging in a number of animal models. In humans, however, inborn impairments in translation machinery are a known cause of several developmental disorders, collectively termed ribosomopathies. Here, we use casual inference approaches in genetic epidemiology to investigate whether adult, tissue-specific biogenesis of translation machinery drives human aging. We assess naturally occurring variation in the expression of genes encoding subunits specific to the two RNA polymerases (Pols) that transcribe ribosomal and transfer RNAs, namely Pol I and III, and the variation in expression of ribosomal protein (RP) genes, using Mendelian randomization. We find each causally associated with human longevity (β = -0.15 ± 0.047, P = 9.6 × 10 -4 , q = 0.015; β = -0.13 ± 0.040, P = 1.4 × 10 -3 , q = 0.023; β = -0.048 ± 0.016, P = 3.5 × 10 -3 , q = 0.056, respectively), and this does not appear to be mediated by altered susceptibility to a single disease. We find that reduced expression of Pol III, RPs, or Pol I promotes longevity from different organs, namely visceral adipose, liver, and skeletal muscle, echoing the tissue specificity of ribosomopathies. Our study shows the utility of leveraging genetic variation in expression to elucidate how essential cellular processes impact human aging. The findings extend the evolutionary conservation of protein synthesis as a critical process that drives animal aging to include humans., (© 2022 Javidnia et al.; Published by Cold Spring Harbor Laboratory Press.)
Published: 2022
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44. Insights into the genetic architecture of haematological traits from deep phenotyping and whole-genome sequencing for two Mediterranean isolated populations.

Author: Kuchenbaecker K, Gilly A, Suveges D, Southam L, Giannakopoulou O, Kilian B, Tsafantakis E, Karaleftheri M, Farmaki AE, Gurdasani D, Kundu K, Sandhu MS, Danesh J, Butterworth A, Barroso I, Dedoussis G, and Zeggini E
Subjects: Cohort Studies, DNA Mutational Analysis, Erythrocyte Count, Gene Frequency, Genetic Variation, Genome-Wide Association Study, Greece, Humans, Leukocyte Count, Mutation, Platelet Function Tests, Whole Genome Sequencing, Erythrocyte Indices genetics, Genetics, Population, beta-Globins genetics
Abstract: Haematological traits are linked to cardiovascular, metabolic, infectious and immune disorders, as well as cancer. Here, we examine the role of genetic variation in shaping haematological traits in two isolated Mediterranean populations. Using whole-genome sequencing data at 22× depth for 1457 individuals from Crete (MANOLIS) and 1617 from the Pomak villages in Greece, we carry out a genome-wide association scan for haematological traits using linear mixed models. We discover novel associations (p < 5 × 10 -9 ) of five rare non-coding variants with alleles conferring effects of 1.44-2.63 units of standard deviation on red and white blood cell count, platelet and red cell distribution width. Moreover, 10.0% of individuals in the Pomak population and 6.8% in MANOLIS carry a pathogenic mutation in the Haemoglobin Subunit Beta (HBB) gene. The mutational spectrum is highly diverse (10 different mutations). The most frequent mutation in MANOLIS is the common Mediterranean variant IVS-I-110 (G>A) (rs35004220). In the Pomak population, c.364C>A ("HbO-Arab", rs33946267) is most frequent (4.4% allele frequency). We demonstrate effects on haematological and other traits, including bilirubin, cholesterol, and, in MANOLIS, height and gestation age. We find less severe effects on red blood cell traits for HbS, HbO, and IVS-I-6 (T>C) compared to other b+ mutations. Overall, we uncover allelic diversity of HBB in Greek isolated populations and find an important role for additional rare variants outside of HBB., (© 2022. The Author(s).)
Published: 2022
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45. Editorial: Genetics of Complex Traits and Diseases From Under-Represented Populations.

Author: Fatumo S, Chikowore T, and Kuchenbaecker K
Abstract: Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Published: 2022
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46. Type 2 diabetes risks and determinants in second-generation migrants and mixed ethnicity people of South Asian and African Caribbean descent in the UK.

Author: Farmaki AE, Garfield V, Eastwood SV, Farmer RE, Mathur R, Giannakopoulou O, Patalay P, Kuchenbaecker K, Sattar N, Hughes A, Bhaskaran K, Smeeth L, and Chaturvedi N
Subjects: Adult, Aged, Asian People, Caribbean Region, Cross-Sectional Studies, Ethnicity, Humans, Middle Aged, Risk Factors, United Kingdom epidemiology, White People, Diabetes Mellitus, Type 2 epidemiology, Diabetes Mellitus, Type 2 genetics, Transients and Migrants
Abstract: Aims/hypothesis: Excess risks of type 2 diabetes in UK South Asians (SA) and African Caribbeans (AC) compared with Europeans remain unexplained. We studied risks and determinants of type 2 diabetes in first- and second-generation (born in the UK) migrants, and in those of mixed ethnicity., Methods: Data from the UK Biobank, a population-based cohort of ~500,000 participants aged 40-69 at recruitment, were used. Type 2 diabetes was assigned using self-report and HbA 1c . Ethnicity was both self-reported and genetically assigned using admixture level scores. European, mixed European/South Asian (MixESA), mixed European/African Caribbean (MixEAC), SA and AC groups were analysed, matched for age and sex to enable comparison. In the frames of this cross-sectional study, we compared type 2 diabetes in second- vs first-generation migrants, and mixed ethnicity vs non-mixed groups. Risks and explanations were analysed using logistic regression and mediation analysis, respectively., Results: Type 2 diabetes prevalence was markedly elevated in SA (599/3317 = 18%) and AC (534/4180 = 13%) compared with Europeans (140/3324 = 4%). Prevalence was lower in second- vs first-generation SA (124/1115 = 11% vs 155/1115 = 14%) and AC (163/2200 = 7% vs 227/2200 = 10%). Favourable adiposity (i.e. lower waist/hip ratio or BMI) contributed to lower risk in second-generation migrants. Type 2 diabetes in mixed populations (MixESA: 52/831 = 6%, MixEAC: 70/1045 = 7%) was lower than in comparator ethnic groups (SA: 18%, AC: 13%) and higher than in Europeans (4%). Greater socioeconomic deprivation accounted for 17% and 42% of the excess type 2 diabetes risk in MixESA and MixEAC compared with Europeans, respectively. Replacing self-reported with genetically assigned ethnicity corroborated the mixed ethnicity analysis., Conclusions/interpretation: Type 2 diabetes risks in second-generation SA and AC migrants are a fifth lower than in first-generation migrants. Mixed ethnicity risks were markedly lower than SA and AC groups, though remaining higher than in Europeans. Distribution of environmental risk factors, largely obesity and socioeconomic status, appears to play a key role in accounting for ethnic differences in type 2 diabetes risk., (© 2021. The Author(s).)
Published: 2022
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47. The genomics of heart failure: design and rationale of the HERMES consortium.

Author: Lumbers RT, Shah S, Lin H, Czuba T, Henry A, Swerdlow DI, Mälarstig A, Andersson C, Verweij N, Holmes MV, Ärnlöv J, Svensson P, Hemingway H, Sallah N, Almgren P, Aragam KG, Asselin G, Backman JD, Biggs ML, Bloom HL, Boersma E, Brandimarto J, Brown MR, Brunner-La Rocca HP, Carey DJ, Chaffin MD, Chasman DI, Chazara O, Chen X, Chen X, Chung JH, Chutkow W, Cleland JGF, Cook JP, de Denus S, Dehghan A, Delgado GE, Denaxas S, Doney AS, Dörr M, Dudley SC, Engström G, Esko T, Fatemifar G, Felix SB, Finan C, Ford I, Fougerousse F, Fouodjio R, Ghanbari M, Ghasemi S, Giedraitis V, Giulianini F, Gottdiener JS, Gross S, Guðbjartsson DF, Gui H, Gutmann R, Haggerty CM, van der Harst P, Hedman ÅK, Helgadottir A, Hillege H, Hyde CL, Jacob J, Jukema JW, Kamanu F, Kardys I, Kavousi M, Khaw KT, Kleber ME, Køber L, Koekemoer A, Kraus B, Kuchenbaecker K, Langenberg C, Lind L, Lindgren CM, London B, Lotta LA, Lovering RC, Luan J, Magnusson P, Mahajan A, Mann D, Margulies KB, Marston NA, März W, McMurray JJV, Melander O, Melloni G, Mordi IR, Morley MP, Morris AD, Morris AP, Morrison AC, Nagle MW, Nelson CP, Newton-Cheh C, Niessner A, Niiranen T, Nowak C, O'Donoghue ML, Owens AT, Palmer CNA, Paré G, Perola M, Perreault LL, Portilla-Fernandez E, Psaty BM, Rice KM, Ridker PM, Romaine SPR, Roselli C, Rotter JI, Ruff CT, Sabatine MS, Salo P, Salomaa V, van Setten J, Shalaby AA, Smelser DT, Smith NL, Stefansson K, Stender S, Stott DJ, Sveinbjörnsson G, Tammesoo ML, Tardif JC, Taylor KD, Teder-Laving M, Teumer A, Thorgeirsson G, Thorsteinsdottir U, Torp-Pedersen C, Trompet S, Tuckwell D, Tyl B, Uitterlinden AG, Vaura F, Veluchamy A, Visscher PM, Völker U, Voors AA, Wang X, Wareham NJ, Weeke PE, Weiss R, White HD, Wiggins KL, Xing H, Yang J, Yang Y, Yerges-Armstrong LM, Yu B, Zannad F, Zhao F, Wilk JB, Holm H, Sattar N, Lubitz SA, Lanfear DE, Shah S, Dunn ME, Wells QS, Asselbergs FW, Hingorani AD, Dubé MP, Samani NJ, Lang CC, Cappola TP, Ellinor PT, Vasan RS, and Smith JG
Subjects: Aged, Aged, 80 and over, Female, Genomics, Humans, Male, Middle Aged, Prognosis, Genome-Wide Association Study, Heart Failure genetics
Abstract: Aims: The HERMES (HEart failure Molecular Epidemiology for Therapeutic targetS) consortium aims to identify the genomic and molecular basis of heart failure., Methods and Results: The consortium currently includes 51 studies from 11 countries, including 68 157 heart failure cases and 949 888 controls, with data on heart failure events and prognosis. All studies collected biological samples and performed genome-wide genotyping of common genetic variants. The enrolment of subjects into participating studies ranged from 1948 to the present day, and the median follow-up following heart failure diagnosis ranged from 2 to 116 months. Forty-nine of 51 individual studies enrolled participants of both sexes; in these studies, participants with heart failure were predominantly male (34-90%). The mean age at diagnosis or ascertainment across all studies ranged from 54 to 84 years. Based on the aggregate sample, we estimated 80% power to genetic variant associations with risk of heart failure with an odds ratio of ≥1.10 for common variants (allele frequency ≥ 0.05) and ≥1.20 for low-frequency variants (allele frequency 0.01-0.05) at P < 5 × 10 -8 under an additive genetic model., Conclusions: HERMES is a global collaboration aiming to (i) identify the genetic determinants of heart failure; (ii) generate insights into the causal pathways leading to heart failure and enable genetic approaches to target prioritization; and (iii) develop genomic tools for disease stratification and risk prediction., (© 2021 The Authors. ESC Heart Failure published by John Wiley & Sons Ltd on behalf of European Society of Cardiology.)
Published: 2021
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48. The Influence of CYP2D6 and CYP2C19 Genetic Variation on Diabetes Mellitus Risk in People Taking Antidepressants and Antipsychotics.

Author: Austin-Zimmerman I, Wronska M, Wang B, Irizar H, Thygesen JH, Bhat A, Denaxas S, Fatemifar G, Finan C, Harju-Seppänen J, Giannakopoulou O, Kuchenbaecker K, Zartaloudi E, McQuillin A, and Bramon E
Subjects: Adult, Aged, Biological Specimen Banks, Diabetes Mellitus etiology, Diabetes Mellitus genetics, Female, Humans, Male, Middle Aged, Pharmacogenomic Variants, Precision Medicine, Risk Assessment, United Kingdom, Antidepressive Agents adverse effects, Antipsychotic Agents adverse effects, Cytochrome P-450 CYP2C19 genetics, Cytochrome P-450 CYP2D6 genetics, Diabetes Mellitus metabolism, Glycated Hemoglobin metabolism
Abstract: CYP2D6 and CYP2C19 enzymes are essential in the metabolism of antidepressants and antipsychotics. Genetic variation in these genes may increase risk of adverse drug reactions. Antidepressants and antipsychotics have previously been associated with risk of diabetes. We examined whether individual genetic differences in CYP2D6 and CYP2C19 contribute to these effects. We identified 31,579 individuals taking antidepressants and 2699 taking antipsychotics within UK Biobank. Participants were classified as poor, intermediate, or normal metabolizers of CYP2D6, and as poor, intermediate, normal, rapid, or ultra-rapid metabolizers of CYP2C19. Risk of diabetes mellitus represented by HbA1c level was examined in relation to the metabolic phenotypes. CYP2D6 poor metabolizers taking paroxetine had higher Hb1Ac than normal metabolizers (mean difference: 2.29 mmol/mol; p < 0.001). Among participants with diabetes who were taking venlafaxine, CYP2D6 poor metabolizers had higher HbA1c levels compared to normal metabolizers (mean differences: 10.15 mmol/mol; p < 0.001. Among participants with diabetes who were taking fluoxetine, CYP2D6 intermediate metabolizers and decreased HbA1c, compared to normal metabolizers (mean difference -7.74 mmol/mol; p = 0.017). We did not observe any relationship between CYP2D6 or CYP2C19 metabolic status and HbA1c levels in participants taking antipsychotic medication. Our results indicate that the impact of genetic variation in CYP2D6 differs depending on diabetes status. Although our findings support existing clinical guidelines, further research is essential to inform pharmacogenetic testing for people taking antidepressants and antipsychotics.
Published: 2021
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49. The Genetic Architecture of Depression in Individuals of East Asian Ancestry: A Genome-Wide Association Study.

Author: Giannakopoulou O, Lin K, Meng X, Su MH, Kuo PH, Peterson RE, Awasthi S, Moscati A, Coleman JRI, Bass N, Millwood IY, Chen Y, Chen Z, Chen HC, Lu ML, Huang MC, Chen CH, Stahl EA, Loos RJF, Mullins N, Ursano RJ, Kessler RC, Stein MB, Sen S, Scott LJ, Burmeister M, Fang Y, Tyrrell J, Jiang Y, Tian C, McIntosh AM, Ripke S, Dunn EC, Kendler KS, Walters RG, Lewis CM, and Kuchenbaecker K
Subjects: Adult, Female, Humans, Male, Middle Aged, Asia, Eastern ethnology, White People genetics, Case-Control Studies, Asian People ethnology, Asian People genetics, Depression ethnology, Depression genetics, Depressive Disorder ethnology, Depressive Disorder genetics, Genome-Wide Association Study
Abstract: Importance: Most previous genome-wide association studies (GWAS) of depression have used data from individuals of European descent. This limits the understanding of the underlying biology of depression and raises questions about the transferability of findings between populations., Objective: To investigate the genetics of depression among individuals of East Asian and European descent living in different geographic locations, and with different outcome definitions for depression., Design, Setting, and Participants: Genome-wide association analyses followed by meta-analysis, which included data from 9 cohort and case-control data sets comprising individuals with depression and control individuals of East Asian descent. This study was conducted between January 2019 and May 2021., Exposures: Associations of genetic variants with depression risk were assessed using generalized linear mixed models and logistic regression. The results were combined across studies using fixed-effects meta-analyses. These were subsequently also meta-analyzed with the largest published GWAS for depression among individuals of European descent. Additional meta-analyses were carried out separately by outcome definition (clinical depression vs symptom-based depression) and region (East Asian countries vs Western countries) for East Asian ancestry cohorts., Main Outcomes and Measures: Depression status was defined based on health records and self-report questionnaires., Results: There were a total of 194 548 study participants (approximate mean age, 51.3 years; 62.8% women). Participants included 15 771 individuals with depression and 178 777 control individuals of East Asian descent. Five novel associations were identified, including 1 in the meta-analysis for broad depression among those of East Asian descent: rs4656484 (β = -0.018, SE = 0.003, P = 4.43x10-8) at 1q24.1. Another locus at 7p21.2 was associated in a meta-analysis restricted to geographically East Asian studies (β = 0.028, SE = 0.005, P = 6.48x10-9 for rs10240457). The lead variants of these 2 novel loci were not associated with depression risk in European ancestry cohorts (β = -0.003, SE = 0.005, P = .53 for rs4656484 and β = -0.005, SE = 0.004, P = .28 for rs10240457). Only 11% of depression loci previously identified in individuals of European descent reached nominal significance levels in the individuals of East Asian descent. The transancestry genetic correlation between cohorts of East Asian and European descent for clinical depression was r = 0.413 (SE = 0.159). Clinical depression risk was negatively genetically correlated with body mass index in individuals of East Asian descent (r = -0.212, SE = 0.084), contrary to findings for individuals of European descent., Conclusions and Relevance: These results support caution against generalizing findings about depression risk factors across populations and highlight the need to increase the ancestral and geographic diversity of samples with consistent phenotyping.
Published: 2021
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50. Genetic copy number variants, cognition and psychosis: a meta-analysis and a family study.

Author: Thygesen JH, Presman A, Harju-Seppänen J, Irizar H, Jones R, Kuchenbaecker K, Lin K, Alizadeh BZ, Austin-Zimmerman I, Bartels-Velthuis A, Bhat A, Bruggeman R, Cahn W, Calafato S, Crespo-Facorro B, de Haan L, de Zwarte SMC, Di Forti M, Díez-Revuelta Á, Hall J, Hall MH, Iyegbe C, Jablensky A, Kahn R, Kalaydjieva L, Kravariti E, Lawrie S, Luykx JJ, Mata I, McDonald C, McIntosh AM, McQuillin A, Muir R, Ophoff R, Picchioni M, Prata DP, Ranlund S, Rujescu D, Rutten BPF, Schulze K, Shaikh M, Schirmbeck F, Simons CJP, Toulopoulou T, van Amelsvoort T, van Haren N, van Os J, van Winkel R, Vassos E, Walshe M, Weisbrod M, Zartaloudi E, Bell V, Powell J, Lewis CM, Murray RM, and Bramon E
Subjects: Cognition, DNA Copy Number Variations genetics, Genetic Predisposition to Disease genetics, Genome-Wide Association Study, Humans, Psychotic Disorders genetics, Schizophrenia genetics
Abstract: The burden of large and rare copy number genetic variants (CNVs) as well as certain specific CNVs increase the risk of developing schizophrenia. Several cognitive measures are purported schizophrenia endophenotypes and may represent an intermediate point between genetics and the illness. This paper investigates the influence of CNVs on cognition. We conducted a systematic review and meta-analysis of the literature exploring the effect of CNV burden on general intelligence. We included ten primary studies with a total of 18,847 participants and found no evidence of association. In a new psychosis family study, we investigated the effects of CNVs on specific cognitive abilities. We examined the burden of large and rare CNVs (>200 kb, <1% MAF) as well as known schizophrenia-associated CNVs in patients with psychotic disorders, their unaffected relatives and controls (N = 3428) from the Psychosis Endophenotypes International Consortium (PEIC). The carriers of specific schizophrenia-associated CNVs showed poorer performance than non-carriers in immediate (P = 0.0036) and delayed (P = 0.0115) verbal recall. We found suggestive evidence that carriers of schizophrenia-associated CNVs had poorer block design performance (P = 0.0307). We do not find any association between CNV burden and cognition. Our findings show that the known high-risk CNVs are not only associated with schizophrenia and other neurodevelopmental disorders, but are also a contributing factor to impairment in cognitive domains such as memory and perceptual reasoning, and act as intermediate biomarkers of disease risk., (© 2020. The Author(s).)
Published: 2021
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