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1. Genome-wide analyses characterize shared heritability among cancers and identify novel cancer susceptibility regions

Author

Lindström, Sara, Wang, Lu, Feng, Helian, Majumdar, Arunabha, Huo, Sijia, Macdonald, James, Harrison, Tabitha, Turman, Constance, Chen, Hongjie, Mancuso, Nicholas, Bammler, Theo, Consortium, Breast Cancer Association, Gallinger, Steve, Gruber, Stephen B, Gunter, Marc J, Le Marchand, Loic, Moreno, Victor, Offit, Kenneth, Study, Genetics And Epidemiology Of Colorectal Cancer Consortium Colorectal Transdisciplinary Study Colon Cancer Family Registry, De Vivo, Immaculata, O’Mara, Tracy A, Spurdle, Amanda B, Tomlinson, Ian, Consortium, Endometrial Cancer Association, Fitzgerald, Rebecca, Gharahkhani, Puya, Gockel, Ines, Jankowski, Janusz, Macgregor, Stuart, Schumacher, Johannes, Barnholtz-Sloan, Jill, Bondy, Melissa L, Houlston, Richard S, Jenkins, Robert B, Melin, Beatrice, Wrensch, Margaret, Brennan, Paul, Christiani, David C, Johansson, Mattias, Mckay, James, Aldrich, Melinda C, Amos, Christopher I, Landi, Maria Teresa, Tardon, Adonina, Consortium, International Lung Cancer, Bishop, D Timothy, Demenais, Florence, Goldstein, Alisa M, Iles, Mark M, Kanetsky, Peter A, Law, Matthew H, Consortium, Ovarian Cancer Association, Amundadottir, Laufey T, Stolzenberg-Solomon, Rachael, Wolpin, Brian M, Consortium, Pancreatic Cancer Cohort, Klein, Alison, Petersen, Gloria, Risch, Harvey, Consortium, The PRACTICAL Consortium Pancreatic Cancer Case-Control, Chanock, Stephen J, Purdue, Mark P, Scelo, Ghislaine, Pharoah, Paul, Kar, Siddhartha, Hung, Rayjean J, Pasaniuc, Bogdan, and Kraft, Peter

Subjects
Biomedical and Clinical Sciences, Oncology and Carcinogenesis, Genetics, Digestive Diseases, Women's Health, Prevention, Cancer, Cancer Genomics, Human Genome, Rare Diseases, 2.1 Biological and endogenous factors, Male, Humans, Genome-Wide Association Study, Genetic Predisposition to Disease, Neoplasms, Risk Factors, Transcriptome, Polymorphism, Single Nucleotide, Breast Cancer Association Consortium, Colorectal Transdisciplinary Study (CORECT), Colon Cancer Family Registry Study (CCFR), Genetics And Epidemiology Of Colorectal Cancer Consortium, Endometrial Cancer Association Consortium, International Lung Cancer Consortium, Ovarian Cancer Association Consortium, Pancreatic Cancer Cohort Consortium, Pancreatic Cancer Case-Control Consortium (Panc4), The PRACTICAL Consortium, Oncology & Carcinogenesis, Oncology and carcinogenesis
Abstract

BackgroundThe shared inherited genetic contribution to risk of different cancers is not fully known. In this study, we leverage results from 12 cancer genome-wide association studies (GWAS) to quantify pairwise genome-wide genetic correlations across cancers and identify novel cancer susceptibility loci.MethodsWe collected GWAS summary statistics for 12 solid cancers based on 376 759 participants with cancer and 532 864 participants without cancer of European ancestry. The included cancer types were breast, colorectal, endometrial, esophageal, glioma, head and neck, lung, melanoma, ovarian, pancreatic, prostate, and renal cancers. We conducted cross-cancer GWAS and transcriptome-wide association studies to discover novel cancer susceptibility loci. Finally, we assessed the extent of variant-specific pleiotropy among cancers at known and newly identified cancer susceptibility loci.ResultsWe observed widespread but modest genome-wide genetic correlations across cancers. In cross-cancer GWAS and transcriptome-wide association studies, we identified 15 novel cancer susceptibility loci. Additionally, we identified multiple variants at 77 distinct loci with strong evidence of being associated with at least 2 cancer types by testing for pleiotropy at known cancer susceptibility loci.ConclusionsOverall, these results suggest that some genetic risk variants are shared among cancers, though much of cancer heritability is cancer-specific and thus tissue-specific. The increase in statistical power associated with larger sample sizes in cross-disease analysis allows for the identification of novel susceptibility regions. Future studies incorporating data on multiple cancer types are likely to identify additional regions associated with the risk of multiple cancer types.

Published
2023

2. The genetic basis of endometriosis and comorbidity with other pain and inflammatory conditions

Author

Rahmioglu, Nilufer, Mortlock, Sally, Ghiasi, Marzieh, Møller, Peter L, Stefansdottir, Lilja, Galarneau, Geneviève, Turman, Constance, Danning, Rebecca, Law, Matthew H, Sapkota, Yadav, Christofidou, Paraskevi, Skarp, Sini, Giri, Ayush, Banasik, Karina, Krassowski, Michal, Lepamets, Maarja, Marciniak, Błażej, Nõukas, Margit, Perro, Danielle, Sliz, Eeva, Sobalska-Kwapis, Marta, Thorleifsson, Gudmar, Topbas-Selcuki, Nura F, Vitonis, Allison, Westergaard, David, Arnadottir, Ragnheidur, Burgdorf, Kristoffer S, Campbell, Archie, Cheuk, Cecilia SK, Clementi, Caterina, Cook, James, De Vivo, Immaculata, DiVasta, Amy, Dorien, O, Donoghue, Jacqueline F, Edwards, Todd, Fontanillas, Pierre, Fung, Jenny N, Geirsson, Reynir T, Girling, Jane E, Harkki, Paivi, Harris, Holly R, Healey, Martin, Heikinheimo, Oskari, Holdsworth-Carson, Sarah, Hostettler, Isabel C, Houlden, Henry, Houshdaran, Sahar, Irwin, Juan C, Jarvelin, Marjo-Riitta, Kamatani, Yoichiro, Kennedy, Stephen H, Kepka, Ewa, Kettunen, Johannes, Kubo, Michiaki, Kulig, Bartosz, Kurra, Venla, Laivuori, Hannele, Laufer, Marc R, Lindgren, Cecilia M, MacGregor, Stuart, Mangino, Massimo, Martin, Nicholas G, Matalliotaki, Charoula, Matalliotakis, Michail, Murray, Alison D, Ndungu, Anne, Nezhat, Camran, Olsen, Catherine M, Opoku-Anane, Jessica, Padmanabhan, Sandosh, Paranjpe, Manish, Peters, Maire, Polak, Grzegorz, Porteous, David J, Rabban, Joseph, Rexrode, Kathyrn M, Romanowicz, Hanna, Saare, Merli, Saavalainen, Liisu, Schork, Andrew J, Sen, Sushmita, Shafrir, Amy L, Siewierska-Górska, Anna, Słomka, Marcin, Smith, Blair H, Smolarz, Beata, Szaflik, Tomasz, Szyłło, Krzysztof, Takahashi, Atsushi, Terry, Kathryn L, Tomassetti, Carla, Treloar, Susan A, Vanhie, Arne, Vincent, Katy, Vo, Kim C, Werring, David J, Zeggini, Eleftheria, Zervou, Maria I, and Adachi, Sosuke

Subjects
Biological Sciences, Genetics, Pain Research, Headaches, Women's Health, Chronic Pain, Prevention, Contraception/Reproduction, Brain Disorders, Clinical Research, Infertility, Neurosciences, Migraines, Endometriosis, Human Genome, 2.1 Biological and endogenous factors, Female, Humans, Genetic Predisposition to Disease, Genome-Wide Association Study, Pain, Comorbidity, DBDS Genomic Consortium, FinnGen Study, FinnGen Endometriosis Taskforce, Celmatix Research Team, 23andMe Research Team, Medical and Health Sciences, Developmental Biology, Agricultural biotechnology, Bioinformatics and computational biology
Abstract

Endometriosis is a common condition associated with debilitating pelvic pain and infertility. A genome-wide association study meta-analysis, including 60,674 cases and 701,926 controls of European and East Asian descent, identified 42 genome-wide significant loci comprising 49 distinct association signals. Effect sizes were largest for stage 3/4 disease, driven by ovarian endometriosis. Identified signals explained up to 5.01% of disease variance and regulated expression or methylation of genes in endometrium and blood, many of which were associated with pain perception/maintenance (SRP14/BMF, GDAP1, MLLT10, BSN and NGF). We observed significant genetic correlations between endometriosis and 11 pain conditions, including migraine, back and multisite chronic pain (MCP), as well as inflammatory conditions, including asthma and osteoarthritis. Multitrait genetic analyses identified substantial sharing of variants associated with endometriosis and MCP/migraine. Targeted investigations of genetically regulated mechanisms shared between endometriosis and other pain conditions are needed to aid the development of new treatments and facilitate early symptomatic intervention.

Published
2023

3. Assessment of polygenic architecture and risk prediction based on common variants across fourteen cancers.

Author

Zhang, Yan Dora, Hurson, Amber N, Zhang, Haoyu, Choudhury, Parichoy Pal, Easton, Douglas F, Milne, Roger L, Simard, Jacques, Hall, Per, Michailidou, Kyriaki, Dennis, Joe, Schmidt, Marjanka K, Chang-Claude, Jenny, Gharahkhani, Puya, Whiteman, David, Campbell, Peter T, Hoffmeister, Michael, Jenkins, Mark, Peters, Ulrike, Hsu, Li, Gruber, Stephen B, Casey, Graham, Schmit, Stephanie L, O'Mara, Tracy A, Spurdle, Amanda B, Thompson, Deborah J, Tomlinson, Ian, De Vivo, Immaculata, Landi, Maria Teresa, Law, Matthew H, Iles, Mark M, Demenais, Florence, Kumar, Rajiv, MacGregor, Stuart, Bishop, D Timothy, Ward, Sarah V, Bondy, Melissa L, Houlston, Richard, Wiencke, John K, Melin, Beatrice, Barnholtz-Sloan, Jill, Kinnersley, Ben, Wrensch, Margaret R, Amos, Christopher I, Hung, Rayjean J, Brennan, Paul, McKay, James, Caporaso, Neil E, Berndt, Sonja I, Birmann, Brenda M, Camp, Nicola J, Kraft, Peter, Rothman, Nathaniel, Slager, Susan L, Berchuck, Andrew, Pharoah, Paul DP, Sellers, Thomas A, Gayther, Simon A, Pearce, Celeste L, Goode, Ellen L, Schildkraut, Joellen M, Moysich, Kirsten B, Amundadottir, Laufey T, Jacobs, Eric J, Klein, Alison P, Petersen, Gloria M, Risch, Harvey A, Stolzenberg-Solomon, Rachel Z, Wolpin, Brian M, Li, Donghui, Eeles, Rosalind A, Haiman, Christopher A, Kote-Jarai, Zsofia, Schumacher, Fredrick R, Al Olama, Ali Amin, Purdue, Mark P, Scelo, Ghislaine, Dalgaard, Marlene D, Greene, Mark H, Grotmol, Tom, Kanetsky, Peter A, McGlynn, Katherine A, Nathanson, Katherine L, Turnbull, Clare, Wiklund, Fredrik, Breast Cancer Association Consortium (BCAC), Barrett’s and Esophageal Adenocarcinoma Consortium (BEACON), Colon Cancer Family Registry (CCFR), Transdisciplinary Studies of Genetic Variation in Colorectal Cancer (CORECT), Endometrial Cancer Association Consortium (ECAC), Genetics and Epidemiology of Colorectal Cancer Consortium (GECCO), Melanoma Genetics Consortium (GenoMEL), Glioma International Case-Control Study (GICC), International Lung Cancer Consortium (ILCCO), Integrative Analysis of Lung Cancer Etiology and Risk (INTEGRAL) Consortium, International Consortium of Investigators Working on Non-Hodgkin’s Lymphoma Epidemiologic Studies (InterLymph), Ovarian Cancer Association Consortium (OCAC), Oral Cancer GWAS, Pancreatic Cancer Case-Control Consortium (PanC4), Pancreatic Cancer Cohort Consortium (PanScan), and Prostate Cancer Association Group to Investigate Cancer Associated Alterations in the Genome (PRACTICAL)

Subjects
Breast Cancer Association Consortium, Barrett’s and Esophageal Adenocarcinoma Consortium, Colon Cancer Family Registry, Transdisciplinary Studies of Genetic Variation in Colorectal Cancer, Endometrial Cancer Association Consortium, Genetics and Epidemiology of Colorectal Cancer Consortium, Melanoma Genetics Consortium, Glioma International Case-Control Study, International Lung Cancer Consortium, Integrative Analysis of Lung Cancer Etiology and Risk (INTEGRAL) Consortium, International Consortium of Investigators Working on Non-Hodgkin’s Lymphoma Epidemiologic Studies, Ovarian Cancer Association Consortium, Oral Cancer GWAS, Pancreatic Cancer Case-Control Consortium, Pancreatic Cancer Cohort Consortium, Prostate Cancer Association Group to Investigate Cancer Associated Alterations in the Genome, Renal Cancer GWAS, Testicular Cancer Consortium, Animals, Humans, Neoplasms, Genetic Predisposition to Disease, Incidence, Risk Assessment, Risk Factors, Multifactorial Inheritance, Polymorphism, Single Nucleotide, Models, Genetic, Female, Male, Genome-Wide Association Study, Human Genome, Prevention, Cancer, Prostate Cancer, Genetics, Urologic Diseases, 2.1 Biological and endogenous factors
Abstract

Genome-wide association studies (GWAS) have led to the identification of hundreds of susceptibility loci across cancers, but the impact of further studies remains uncertain. Here we analyse summary-level data from GWAS of European ancestry across fourteen cancer sites to estimate the number of common susceptibility variants (polygenicity) and underlying effect-size distribution. All cancers show a high degree of polygenicity, involving at a minimum of thousands of loci. We project that sample sizes required to explain 80% of GWAS heritability vary from 60,000 cases for testicular to over 1,000,000 cases for lung cancer. The maximum relative risk achievable for subjects at the 99th risk percentile of underlying polygenic risk scores (PRS), compared to average risk, ranges from 12 for testicular to 2.5 for ovarian cancer. We show that PRS have potential for risk stratification for cancers of breast, colon and prostate, but less so for others because of modest heritability and lower incidence.

Published
2020

4. Overlapping genetic architecture between Parkinson disease and melanoma

Author

Dube, Umber, Ibanez, Laura, Budde, John P, Benitez, Bruno A, Davis, Albert A, Harari, Oscar, Iles, Mark M, Law, Matthew H, Brown, Kevin M, and Cruchaga, Carlos

Subjects
Biomedical and Clinical Sciences, Neurosciences, Neurodegenerative, Aging, Biotechnology, Prevention, Cancer, Human Genome, Parkinson's Disease, Brain Disorders, Clinical Research, Genetics, 2.1 Biological and endogenous factors, Aetiology, Neurological, Case-Control Studies, Genome-Wide Association Study, Humans, Melanoma, Multifactorial Inheritance, Parkinson Disease, Skin Neoplasms, 23andMe Research Team, Melanoma-Meta-analysis Consortium, Genetic correlation, Parkinson disease, Polygenic, Shared genetic architecture, TWAS, Clinical Sciences, Neurology & Neurosurgery
Abstract

Epidemiologic studies have reported inconsistent results regarding an association between Parkinson disease (PD) and cutaneous melanoma (melanoma). Identifying shared genetic architecture between these diseases can support epidemiologic findings and identify common risk genes and biological pathways. Here, we apply polygenic, linkage disequilibrium-informed methods to the largest available case-control, genome-wide association study summary statistic data for melanoma and PD. We identify positive and significant genetic correlation (correlation: 0.17, 95% CI 0.10-0.24; P = 4.09 × 10-06) between melanoma and PD. We further demonstrate melanoma and PD-inferred gene expression to overlap across tissues (correlation: 0.14, 95% CI 0.06 to 0.22; P = 7.87 × 10-04) and highlight seven genes including PIEZO1, TRAPPC2L, and SOX6 as potential mediators of the genetic correlation between melanoma and PD. These findings demonstrate specific, shared genetic architecture between PD and melanoma that manifests at the level of gene expression.

Published
2020

5. Association Between Telomere Length and Risk of Cancer and Non-Neoplastic Diseases: A Mendelian Randomization Study

Author

Haycock, Philip C, Burgess, Stephen, Nounu, Aayah, Zheng, Jie, Okoli, George N, Bowden, Jack, Wade, Kaitlin Hazel, Timpson, Nicholas J, Evans, David M, Willeit, Peter, Aviv, Abraham, Gaunt, Tom R, Hemani, Gibran, Mangino, Massimo, Ellis, Hayley Patricia, Kurian, Kathreena M, Pooley, Karen A, Eeles, Rosalind A, Lee, Jeffrey E, Fang, Shenying, Chen, Wei V, Law, Matthew H, Bowdler, Lisa M, Iles, Mark M, Yang, Qiong, Worrall, Bradford B, Markus, Hugh Stephen, Hung, Rayjean J, Amos, Chris I, Spurdle, Amanda B, Thompson, Deborah J, O’Mara, Tracy A, Wolpin, Brian, Amundadottir, Laufey, Stolzenberg-Solomon, Rachael, Trichopoulou, Antonia, Onland-Moret, N Charlotte, Lund, Eiliv, Duell, Eric J, Canzian, Federico, Severi, Gianluca, Overvad, Kim, Gunter, Marc J, Tumino, Rosario, Svenson, Ulrika, van Rij, Andre, Baas, Annette F, Bown, Matthew J, Samani, Nilesh J, van t’Hof, Femke NG, Tromp, Gerard, Jones, Gregory T, Kuivaniemi, Helena, Elmore, James R, Johansson, Mattias, Mckay, James, Scelo, Ghislaine, Carreras-Torres, Robert, Gaborieau, Valerie, Brennan, Paul, Bracci, Paige M, Neale, Rachel E, Olson, Sara H, Gallinger, Steven, Li, Donghui, Petersen, Gloria M, Risch, Harvey A, Klein, Alison P, Han, Jiali, Abnet, Christian C, Freedman, Neal D, Taylor, Philip R, Maris, John M, Aben, Katja K, Kiemeney, Lambertus A, Vermeulen, Sita H, Wiencke, John K, Walsh, Kyle M, Wrensch, Margaret, Rice, Terri, Turnbull, Clare, Litchfield, Kevin, Paternoster, Lavinia, Standl, Marie, Abecasis, Gonçalo R, SanGiovanni, John Paul, Li, Yong, Mijatovic, Vladan, Sapkota, Yadav, Low, Siew-Kee, Zondervan, Krina T, Montgomery, Grant W, Nyholt, Dale R, van Heel, David A, Hunt, Karen, Arking, Dan E, Ashar, Foram N, Sotoodehnia, Nona, Woo, Daniel, and Rosand, Jonathan

Subjects
Biomedical and Clinical Sciences, Oncology and Carcinogenesis, Cancer, Human Genome, Genetics, Women's Health, Rare Diseases, 2.1 Biological and endogenous factors, Adult, Aged, Aged, 80 and over, Cardiovascular Diseases, Female, Genetic Predisposition to Disease, Genome-Wide Association Study, Germ-Line Mutation, Humans, Male, Mendelian Randomization Analysis, Middle Aged, Neoplasms, Polymorphism, Single Nucleotide, Risk Assessment, Telomere, Telomere Homeostasis, Telomeres Mendelian Randomization Collaboration, Public Health and Health Services, Oncology and carcinogenesis
Abstract

ImportanceThe causal direction and magnitude of the association between telomere length and incidence of cancer and non-neoplastic diseases is uncertain owing to the susceptibility of observational studies to confounding and reverse causation.ObjectiveTo conduct a Mendelian randomization study, using germline genetic variants as instrumental variables, to appraise the causal relevance of telomere length for risk of cancer and non-neoplastic diseases.Data sourcesGenomewide association studies (GWAS) published up to January 15, 2015.Study selectionGWAS of noncommunicable diseases that assayed germline genetic variation and did not select cohort or control participants on the basis of preexisting diseases. Of 163 GWAS of noncommunicable diseases identified, summary data from 103 were available.Data extraction and synthesisSummary association statistics for single nucleotide polymorphisms (SNPs) that are strongly associated with telomere length in the general population.Main outcomes and measuresOdds ratios (ORs) and 95% confidence intervals (CIs) for disease per standard deviation (SD) higher telomere length due to germline genetic variation.ResultsSummary data were available for 35 cancers and 48 non-neoplastic diseases, corresponding to 420 081 cases (median cases, 2526 per disease) and 1 093 105 controls (median, 6789 per disease). Increased telomere length due to germline genetic variation was generally associated with increased risk for site-specific cancers. The strongest associations (ORs [95% CIs] per 1-SD change in genetically increased telomere length) were observed for glioma, 5.27 (3.15-8.81); serous low-malignant-potential ovarian cancer, 4.35 (2.39-7.94); lung adenocarcinoma, 3.19 (2.40-4.22); neuroblastoma, 2.98 (1.92-4.62); bladder cancer, 2.19 (1.32-3.66); melanoma, 1.87 (1.55-2.26); testicular cancer, 1.76 (1.02-3.04); kidney cancer, 1.55 (1.08-2.23); and endometrial cancer, 1.31 (1.07-1.61). Associations were stronger for rarer cancers and at tissue sites with lower rates of stem cell division. There was generally little evidence of association between genetically increased telomere length and risk of psychiatric, autoimmune, inflammatory, diabetic, and other non-neoplastic diseases, except for coronary heart disease (OR, 0.78 [95% CI, 0.67-0.90]), abdominal aortic aneurysm (OR, 0.63 [95% CI, 0.49-0.81]), celiac disease (OR, 0.42 [95% CI, 0.28-0.61]) and interstitial lung disease (OR, 0.09 [95% CI, 0.05-0.15]).Conclusions and relevanceIt is likely that longer telomeres increase risk for several cancers but reduce risk for some non-neoplastic diseases, including cardiovascular diseases.

Published
2017

6. Association Between Telomere Length and Risk of Cancer and Non-Neoplastic Diseases: A Mendelian Randomization Study.

Author

Telomeres Mendelian Randomization Collaboration, Haycock, Philip C, Burgess, Stephen, Nounu, Aayah, Zheng, Jie, Okoli, George N, Bowden, Jack, Wade, Kaitlin Hazel, Timpson, Nicholas J, Evans, David M, Willeit, Peter, Aviv, Abraham, Gaunt, Tom R, Hemani, Gibran, Mangino, Massimo, Ellis, Hayley Patricia, Kurian, Kathreena M, Pooley, Karen A, Eeles, Rosalind A, Lee, Jeffrey E, Fang, Shenying, Chen, Wei V, Law, Matthew H, Bowdler, Lisa M, Iles, Mark M, Yang, Qiong, Worrall, Bradford B, Markus, Hugh Stephen, Hung, Rayjean J, Amos, Chris I, Spurdle, Amanda B, Thompson, Deborah J, O'Mara, Tracy A, Wolpin, Brian, Amundadottir, Laufey, Stolzenberg-Solomon, Rachael, Trichopoulou, Antonia, Onland-Moret, N Charlotte, Lund, Eiliv, Duell, Eric J, Canzian, Federico, Severi, Gianluca, Overvad, Kim, Gunter, Marc J, Tumino, Rosario, Svenson, Ulrika, van Rij, Andre, Baas, Annette F, Bown, Matthew J, Samani, Nilesh J, van t'Hof, Femke NG, Tromp, Gerard, Jones, Gregory T, Kuivaniemi, Helena, Elmore, James R, Johansson, Mattias, Mckay, James, Scelo, Ghislaine, Carreras-Torres, Robert, Gaborieau, Valerie, Brennan, Paul, Bracci, Paige M, Neale, Rachel E, Olson, Sara H, Gallinger, Steven, Li, Donghui, Petersen, Gloria M, Risch, Harvey A, Klein, Alison P, Han, Jiali, Abnet, Christian C, Freedman, Neal D, Taylor, Philip R, Maris, John M, Aben, Katja K, Kiemeney, Lambertus A, Vermeulen, Sita H, Wiencke, John K, Walsh, Kyle M, Wrensch, Margaret, Rice, Terri, Turnbull, Clare, Litchfield, Kevin, Paternoster, Lavinia, Standl, Marie, Abecasis, Gonçalo R, SanGiovanni, John Paul, Li, Yong, Mijatovic, Vladan, Sapkota, Yadav, Low, Siew-Kee, Zondervan, Krina T, Montgomery, Grant W, Nyholt, Dale R, van Heel, David A, Hunt, Karen, Arking, Dan E, Ashar, Foram N, Sotoodehnia, Nona, and Woo, Daniel

Subjects
Telomeres Mendelian Randomization Collaboration, Telomere, Humans, Neoplasms, Cardiovascular Diseases, Genetic Predisposition to Disease, Risk Assessment, Germ-Line Mutation, Polymorphism, Single Nucleotide, Adult, Aged, Aged, 80 and over, Middle Aged, Female, Male, Genome-Wide Association Study, Mendelian Randomization Analysis, Telomere Homeostasis, Polymorphism, Single Nucleotide, and over, Prevention, Clinical Research, Cancer, Genetics, Rare Diseases, 2.1 Biological and endogenous factors, Oncology and Carcinogenesis, Public Health and Health Services
Abstract

ImportanceThe causal direction and magnitude of the association between telomere length and incidence of cancer and non-neoplastic diseases is uncertain owing to the susceptibility of observational studies to confounding and reverse causation.ObjectiveTo conduct a Mendelian randomization study, using germline genetic variants as instrumental variables, to appraise the causal relevance of telomere length for risk of cancer and non-neoplastic diseases.Data sourcesGenomewide association studies (GWAS) published up to January 15, 2015.Study selectionGWAS of noncommunicable diseases that assayed germline genetic variation and did not select cohort or control participants on the basis of preexisting diseases. Of 163 GWAS of noncommunicable diseases identified, summary data from 103 were available.Data extraction and synthesisSummary association statistics for single nucleotide polymorphisms (SNPs) that are strongly associated with telomere length in the general population.Main outcomes and measuresOdds ratios (ORs) and 95% confidence intervals (CIs) for disease per standard deviation (SD) higher telomere length due to germline genetic variation.ResultsSummary data were available for 35 cancers and 48 non-neoplastic diseases, corresponding to 420 081 cases (median cases, 2526 per disease) and 1 093 105 controls (median, 6789 per disease). Increased telomere length due to germline genetic variation was generally associated with increased risk for site-specific cancers. The strongest associations (ORs [95% CIs] per 1-SD change in genetically increased telomere length) were observed for glioma, 5.27 (3.15-8.81); serous low-malignant-potential ovarian cancer, 4.35 (2.39-7.94); lung adenocarcinoma, 3.19 (2.40-4.22); neuroblastoma, 2.98 (1.92-4.62); bladder cancer, 2.19 (1.32-3.66); melanoma, 1.87 (1.55-2.26); testicular cancer, 1.76 (1.02-3.04); kidney cancer, 1.55 (1.08-2.23); and endometrial cancer, 1.31 (1.07-1.61). Associations were stronger for rarer cancers and at tissue sites with lower rates of stem cell division. There was generally little evidence of association between genetically increased telomere length and risk of psychiatric, autoimmune, inflammatory, diabetic, and other non-neoplastic diseases, except for coronary heart disease (OR, 0.78 [95% CI, 0.67-0.90]), abdominal aortic aneurysm (OR, 0.63 [95% CI, 0.49-0.81]), celiac disease (OR, 0.42 [95% CI, 0.28-0.61]) and interstitial lung disease (OR, 0.09 [95% CI, 0.05-0.15]).Conclusions and relevanceIt is likely that longer telomeres increase risk for several cancers but reduce risk for some non-neoplastic diseases, including cardiovascular diseases.

Published
2017

7. ABCB1 (MDR1) polymorphisms and ovarian cancer progression and survival: A comprehensive analysis from the Ovarian Cancer Association Consortium and The Cancer Genome Atlas

Author

Johnatty, Sharon E, Beesley, Jonathan, Gao, Bo, Chen, Xiaoqing, Lu, Yi, Law, Matthew H, Henderson, Michelle J, Russell, Amanda J, Hedditch, Ellen L, Emmanuel, Catherine, Fereday, Sian, Webb, Penelope M, Group, Australian Ovarian Cancer Study, Goode, Ellen L, Vierkant, Robert A, Fridley, Brooke L, Cunningham, Julie M, Fasching, Peter A, Beckmann, Matthias W, Ekici, Arif B, Hogdall, Estrid, Kjaer, Susanne K, Jensen, Allan, Hogdall, Claus, Brown, Robert, Paul, Jim, Lambrechts, Sandrina, Despierre, Evelyn, Vergote, Ignace, Lester, Jenny, Karlan, Beth Y, Heitz, Florian, du Bois, Andreas, Harter, Philipp, Schwaab, Ira, Bean, Yukie, Pejovic, Tanja, Levine, Douglas A, Goodman, Marc T, Camey, Michael E, Thompson, Pamela J, Lurie, Galina, Shildkraut, Joellen, Berchuck, Andrew, Terry, Kathryn L, Cramer, Daniel W, Norris, Murray D, Haber, Michelle, MacGregor, Stuart, deFazio, Anna, and Chenevix-Trench, Georgia

Subjects
Genetics, Ovarian Cancer, Rare Diseases, Human Genome, Cancer, Aetiology, 2.1 Biological and endogenous factors, ATP Binding Cassette Transporter, Subfamily B, ATP Binding Cassette Transporter, Subfamily B, Member 1, Antineoplastic Combined Chemotherapy Protocols, Carboplatin, Carcinoma, Ovarian Epithelial, Disease Progression, Disease-Free Survival, Drug Resistance, Multiple, Drug Resistance, Neoplasm, Female, Humans, Kaplan-Meier Estimate, Neoplasms, Glandular and Epithelial, Ovarian Neoplasms, Paclitaxel, Pharmacogenetics, Polymorphism, Single Nucleotide, Proportional Hazards Models, Ovarian cancer, Polymorphisms, Outcome, Chemotherapy, ABCB1, Australian Ovarian Cancer Study Group, Oncology and Carcinogenesis, Paediatrics and Reproductive Medicine, Oncology & Carcinogenesis
Abstract

ObjectiveABCB1 encodes the multi-drug efflux pump P-glycoprotein (P-gp) and has been implicated in multi-drug resistance. We comprehensively evaluated this gene and flanking regions for an association with clinical outcome in epithelial ovarian cancer (EOC).MethodsThe best candidates from fine-mapping analysis of 21 ABCB1 SNPs tagging C1236T (rs1128503), G2677T/A (rs2032582), and C3435T (rs1045642) were analysed in 4616 European invasive EOC patients from thirteen Ovarian Cancer Association Consortium (OCAC) studies and The Cancer Genome Atlas (TCGA). Additionally we analysed 1,562 imputed SNPs around ABCB1 in patients receiving cytoreductive surgery and either 'standard' first-line paclitaxel-carboplatin chemotherapy (n=1158) or any first-line chemotherapy regimen (n=2867). We also evaluated ABCB1 expression in primary tumours from 143 EOC patients.ResultFine-mapping revealed that rs1128503, rs2032582, and rs1045642 were the best candidates in optimally debulked patients. However, we observed no significant association between any SNP and either progression-free survival or overall survival in analysis of data from 14 studies. There was a marginal association between rs1128503 and overall survival in patients with nil residual disease (HR 0.88, 95% CI 0.77-1.01; p=0.07). In contrast, ABCB1 expression in the primary tumour may confer worse prognosis in patients with sub-optimally debulked tumours.ConclusionOur study represents the largest analysis of ABCB1 SNPs and EOC progression and survival to date, but has not identified additional signals, or validated reported associations with progression-free survival for rs1128503, rs2032582, and rs1045642. However, we cannot rule out the possibility of a subtle effect of rs1128503, or other SNPs linked to it, on overall survival.

Published
2013

8. Investigation of Shared Genetic Risk Factors Between Parkinson's Disease and Cancers

Author

Sugier, Pierre-Emmanuel, Lucotte, Elise A., Domenighetti, Cloé, Law, Matthew H., Iles, Mark M., Brown, Kevin, Amos, Christopher, McKay, James D., Hung, Rayjean J., Karimi, Mojgan, Bacq-Daian, Delphine, Boland-Augé, Anne, Olaso, Robert, Deleuze, Jean-François, Lesueur, Fabienne, Ostroumova, Evgenia, Kesminiene, Ausrele, de Vathaire, Florent, Guénel, Pascal, consortium, The Epithyr, Sreelatha, Ashwin Ashok Kumar, Schulte, Claudia, Grover, Sandeep, May, Patrick, Bobbili, Dheeraj Reddy, Radivojkov-Blagojevic, Milena, Lichtner, Peter, Singleton, Andrew B., Hernandez, Dena G., Edsall, Connor, Mellick, George D., Zimprich, Alexander, Pirker, Walter, Rogaeva, Ekaterina, Lang, Anthony E., Koks, Sulev, Taba, Pille, Lesage, Suzanne, Brice, Alexis, Corvol, Jean-Christophe, Chartier-Harlin, Marie-Christine, Mutez, Eugénie, Brockmann, Kathrin, Deutschländer, Angela B., Hadjigeorgiou, Georges M., Dardiotis, Efthimios, Stefanis, Leonidas, Simitsi, Athina Maria, Valente, Enza Maria, Petrucci, Simona, Straniero, Letizia, Zecchinelli, Anna, Pezzoli, Gianni, Brighina, Laura, Ferrarese, Carlo, Annesi, Grazia, Quattrone, Andrea, Gagliardi, Monica, Matsuo, Hirotaka, Nakayama, Akiyoshi, Hattori, Nobutaka, Nishioka, Kenya, Chung, Sun Ju, Kim, Yun Joong, Kolber, Pierre, van de Warrenburg, Bart P. C., Bloem, Bastiaan R., Aasly, Jan, Toft, Mathias, Pihlstrøm, Lasse, Guedes, Leonor Correia, Ferreira, Joaquim J., Bardien, Soraya, Carr, Jonathan, Tolosa, Eduardo, Ezquerra, Mario, Pastor, Pau, Diez-Fairen, Monica, Wirdefeldt, Karin, Pedersen, Nancy, Ran, Caroline, Belin, Andrea C., Puschmann, Andreas, Rödström, Emil Ygland, Clarke, Carl E., Morrison, Karen E., Tan, Manuela, Krainc, Dimitri, Burbulla, Lena F., Farrer, Matt J., Krüger, Rejko, Gasser, Thomas, Sharma, Manu, Landoulsi, Zied, consortium, Courage-PD, Truong, Thérèse, Elbaz, Ales, JPND Courage-PD [sponsor], Luxembourg Centre for Systems Biomedicine (LCSB): Bioinformatics Core (R. Schneider Group) [research center], and Luxembourg Centre for Systems Biomedicine (LCSB): Clinical & Experimental Neuroscience (Krüger Group) [research center]

Subjects
Male, Lung Neoplasms, Parkinson's disease, Neurology [D14] [Human health sciences], RESEARCH ARTICLES, RESEARCH ARTICLE, SDG 3 - Good Health and Well-being, genetics [Parkinson Disease], Risk Factors, pleiotropy, Humans, cancer, ddc:610, genetics [Genetic Predisposition to Disease], Ovarian Neoplasms, Neurologie [D14] [Sciences de la santé humaine], Prostatic Neoplasms, Disorders of movement Donders Center for Medical Neuroscience [Radboudumc 3], genetic correlation, parkinson's disease, polygenic risk score, epidemiology [Melanoma], Neurology, genetics [Melanoma], genetics [Polymorphism, Single Nucleotide], Female, epidemiology [Parkinson Disease], Genetics & genetic processes [F10] [Life sciences], Neurology (clinical), Génétique & processus génétiques [F10] [Sciences du vivant], Genome-Wide Association Study
Abstract

BackgroundEpidemiological studies that examined the association between Parkinson's disease (PD) and cancers led to inconsistent results, but they face a number of methodological difficulties.ObjectiveWe used results from genome-wide association studies (GWASs) to study the genetic correlation between PD and different cancers to identify common genetic risk factors.MethodsWe used individual data for participants of European ancestry from the Courage-PD (Comprehensive Unbiased Risk Factor Assessment for Genetics and Environment in Parkinson's Disease; PD, N = 16,519) and EPITHYR (differentiated thyroid cancer, N = 3527) consortia and summary statistics of GWASs from iPDGC (International Parkinson Disease Genomics Consortium; PD, N = 482,730), Melanoma Meta-Analysis Consortium (MMAC), Breast Cancer Association Consortium (breast cancer), the Prostate Cancer Association Group to Investigate Cancer Associated Alterations in the Genome (prostate cancer), International Lung Cancer Consortium (lung cancer), and Ovarian Cancer Association Consortium (ovarian cancer) (N comprised between 36,017 and 228,951 for cancer GWASs). We estimated the genetic correlation between PD and cancers using linkage disequilibrium score regression. We studied the association between PD and polymorphisms associated with cancers, and vice versa, using cross-phenotypes polygenic risk score (PRS) analyses.ResultsWe confirmed a previously reported positive genetic correlation of PD with melanoma (Gcorr = 0.16 [0.04; 0.28]) and reported an additional significant positive correlation of PD with prostate cancer (Gcorr = 0.11 [0.03; 0.19]). There was a significant inverse association between the PRS for ovarian cancer and PD (odds ratio [OR] = 0.89 [0.84; 0.94]). Conversely, the PRS of PD was positively associated with breast cancer (OR = 1.08 [1.06; 1.10]) and inversely associated with ovarian cancer (OR = 0.95 [0.91; 0.99]). The association between PD and ovarian cancer was mostly driven by rs183211 located in an intron of the NSF gene (17q21.31).ConclusionsWe show evidence in favor of a contribution of pleiotropic genes to the association between PD and specific cancers. © 2023 The Authors. Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society. This article has been contributed to by U.S. Government employees and their work is in the public domain in the USA.

Published
2023
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9. The association between genetically elevated polyunsaturated fatty acids and risk of cancer

Author

Haycock, Philip C, Borges, Maria Carolina, Burrows, Kimberley, Lemaitre, Rozenn N, Burgess, Stephen, Khankari, Nikhil K, Tsilidis, Konstantinos K, Gaunt, Tom R, Hemani, Gibran, Zheng, Jie, Truong, Therese, Birmann, Brenda M, OMara, Tracy, Spurdle, Amanda B, Iles, Mark M, Law, Matthew H, Slager, Susan L, Saberi Hosnijeh, Fatemeh, Mariosa, Daniela, Cotterchio, Michelle, Cerhan, James R, Peters, Ulrike, Enroth, Stefan, Gharahkhani, Puya, Le Marchand, Loic, Williams, Ann C, Block, Robert C, ACCC, CCFR-CORECT-GECCO, EPITHYR, InterLymph, MMAC, ECAC, ILCCO, PRACTICAL Consortium, PanScan, PanC4, Amos, Christopher I, Hung, Rayjean J, Zheng, Wei, Gunter, Marc J, Smith, George Davey, Relton, Caroline, Martin, Richard M, Fatty Acids in Cancer Mendelian Randomization Collaboration, Burgess, Stephen [0000-0001-5365-8760], and Apollo - University of Cambridge Repository

Subjects
Fatty Acid Desaturases, Esophageal Neoplasms, Delta-5 desaturase, Inflammatory Bowel Diseases, Polymorphism, Single Nucleotide, Omega 6, Cancer risk, Omega 3, Fatty Acids, Omega-3, Mendelian randomization, Fatty Acids, Unsaturated, Delta-6 desaturase, Humans, Polyunsaturated fatty acids, Esophageal Squamous Cell Carcinoma, Colorectal Neoplasms
Abstract

BACKGROUND: The causal relevance of polyunsaturated fatty acids (PUFAs) for risk of site-specific cancers remains uncertain. METHODS: Using a Mendelian randomization (MR) framework, we assessed the causal relevance of PUFAs for risk of cancer in European and East Asian ancestry individuals. We defined the primary exposure as PUFA desaturase activity, proxied by rs174546 at the FADS locus. Secondary exposures were defined as omega 3 and omega 6 PUFAs that could be proxied by genetic polymorphisms outside the FADS region. Our study used summary genetic data on 10 PUFAs and 67 cancers, corresponding to 562,871 cases and 1,619,465 controls, collected by the Fatty Acids in Cancer Mendelian Randomization Collaboration. We estimated odds ratios (ORs) for cancer per standard deviation increase in genetically proxied PUFA exposures. FINDINGS: Genetically elevated PUFA desaturase activity was associated (P

Published
2023

10. Novel pleiotropic risk loci for melanoma and nevus density implicate multiple biological pathways

Author

Duffy, David L, Zhu, Gu, Xin, Li, Sanna, Marianna, Iles, Mark M, Jacobs, Leonie C, Evans, David M, Yazar, Seyhan, Beesley, Jonathan, Law, Matthew H, Kraft, Peter, Visconti, Alessia, Taylor, John C, Lui, Fan, Wright, Margaret J, Henders, Anjali K, Bowdler, Lisa, Glass, Dan, Ikram, Arfan M, Uitterlinden, André G, Madden, Pamela A, Heath, Andrew C, Nelson, Elliot C, Green, Adele C, Chanock, Stephen, Barrett, Jennifer H, Brown, Matthew A, Hayward, Nicholas K, Macgregor, Stuart, Sturm, Richard A, Hewitt, Alex W, Kayser, Manfred, Hunter, David J, Newton Bishop, Julia A, Spector, Timothy D, Montgomery, Grant W, Mackey, David A, Smith, George Davey, Nijsten, Tamar E, Bishop, D Timothy, Bataille, Veronique, Falchi, Mario, Han, Jiali, Martin, Nicholas, G, Lee, Je, Brossard, M, Moses, Ek, Song, F, Kumar, R, Easton, Df, Pharoah, Pdp, Swerdlow, Aj, Kypreou, Kp, Harland, M, Randerson-Moor, J, Akslen, La, Andresen, Pa, Avril, Mf, Azizi, E, Scarrà, Gb, Brown, Km, Dębniak, T, Elder, De, Fang, S, Friedman, E, Galan, P, Ghiorzo, P, Gillanders, Em, Goldstein, Am, Gruis, Na, Hansson, J, Helsing, P, Hočevar, M, Höiom, V, Ingvar, C, Kanetsky, Pa, Chen, Wv, Landi, Mt, Lang, J, Lathrop, Gm, Lubiński, J, Mackie, Rm, Mann, Gj, Molven, A, Novaković, S, Olsson, H, Puig, S, Puig-Butille, Ja, Radford-Smith, Gl, van der Stoep, N, van Doorn, R, Whiteman, Dc, Craig, Je, Schadendorf, D, Simms, La, Burdon, Kp, Nyholt, Dr, Pooley, Ka, Orr, N, Stratigos, Aj, Cust, Ae, Ward, Sv, Schulze, Hj, Dunning, Am, Demenais, F, Amos, Ci., Apollo - University of Cambridge Repository, Dermatology, Genetic Identification, Epidemiology, Internal Medicine, and Consortium, Melanoma Gwas

Subjects
0301 basic medicine, Skin Neoplasms, Medizin, General Physics and Astronomy, Genome-wide association study, Receptors, G-Protein-Coupled, 0302 clinical medicine, Guanine Nucleotide Exchange Factors, lcsh:Science, skin and connective tissue diseases, Melanoma, Telomerase, Genetics, 0303 health sciences, Nevus, Pigmented, Stem Cell Factor, Multidisciplinary, Microfilament Proteins, Nuclear Proteins, RNA-Binding Proteins, Genetic Pleiotropy, Microphthalmia-associated transcription factor, 3. Good health, 030220 oncology & carcinogenesis, Cytochrome P-450 CYP1B1, Interferon Regulatory Factors, Medical genetics, PPARGC1B, Dock8, medicine.medical_specialty, Science, Telomere-Binding Proteins, Single-nucleotide polymorphism, Nerve Tissue Proteins, Biology, Polymorphism, Single Nucleotide, General Biochemistry, Genetics and Molecular Biology, Histone Deacetylases, White People, Group VI Phospholipases A2, 03 medical and health sciences, Genetic predisposition, Pigmented Nevus, medicine, Nevus, Humans, Genetic Predisposition to Disease, neoplasms, 030304 developmental biology, General Chemistry, medicine.disease, Repressor Proteins, MicroRNAs, 030104 developmental biology, Cutaneous melanoma, RNA, lcsh:Q, Carrier Proteins, IRF4, Genome-Wide Association Study
Abstract

The total number of acquired melanocytic nevi on the skin is strongly correlated with melanoma risk. Here we report a meta-analysis of 11 nevus GWAS from Australia, Netherlands, United Kingdom, and United States, comprising a total of 52,506 phenotyped individuals. We confirm known loci including MTAP, PLA2G6, and IRF4, and detect novel SNPs at a genome-wide level of significance in KITLG, DOCK8, and a broad region of 9q32. In a bivariate analysis combining the nevus results with those from a recent melanoma GWAS meta-analysis (12,874 cases, 23,203 controls), SNPs near GPRC5A, CYP1B1, PPARGC1B, HDAC4, FAM208B and SYNE2 reached global significance, and other loci, including MIR146A and OBFC1, reached a suggestive level of significance. Overall, we conclude that most nevus genes affect melanoma risk (KITLG an exception), while many melanoma risk loci do not alter nevus count. For example, variants in TERC and OBFC1 affect both traits, but other telomere length maintenance genes seem to affect melanoma risk only. Our findings implicate multiple pathways in nevogenesis via genes we can show to be expressed under control of the MITF melanocytic cell lineage regulator.

Published
2018
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11. Cell-type–specific eQTL of primary melanocytes facilitates identification of melanoma susceptibility genes

Author

Zhang, Tongwu, Choi, Jiyeon, Kovacs, Michael A., Shi, Jianxin, Mai, Xu, Goldstein, Alisa M., Trower, Adam J., Bishop, D. Timothy, Iles, Mark M., Duffy, David L., Macgregor, Stuart, Amundadottir, Laufey T., Law, Matthew H., Loftus, Stacie K., Pavan, William J., Brown, Kevin M., Lee, Je, Brossard, M, Martin, Ng, Moses, Ek, Song, F, Barrett, Jh, Kumar, R, Easton, Df, Pharoah, Pdp, Swerdlow, Aj, Kypreou, Kp, Taylor, Jc, Harland, M, Randerson-Moor, J, Akslen, La, Andresen, Pa, Avril, Mf, Azizi, E, Bianchi Scarrà, G, Dȩbniak, T, Duffy, Dl, Elder, De, Fang, S, Friedman, E, Galan, P, Ghiorzo, P, Gillanders, Em, Goldstein, Am, Gruis, Na, Hansson, J, Helsing, P, Hočevar, M, Höiom, V, Ingvar, C, Kanetsky, Pa, Chen, Wv, Landi, Mt, Lang, J, Lathrop, Gm, Lubiński, J, Mackie, Rm, Mann, Gj, Molven, A, Montgomery, Gw, Novaković, S, Olsson, H, Puig, S, Puig-Butille, Ja, Wu, W, Qureshi, Aa, Radford-Smith, Gl, van der Stoep, N, van Doorn, R, Whiteman, Dc, Craig, Je, Schadendorf, D, Simms, La, Burdon, Kp, Nyholt, Dr, Pooley, Ka, Orr, N, Stratigos, Aj, Cust, Ae, Ward, Sv, Hayward, Nk, Han, J, Schulze, Hj, Dunning, Am, Bishop, Jan, Demenais, F, Amos, Ci, Macgregor, S, Iles, Mm, Barnabas, Bb, Bouffard, Gg, Brooks, Sy, Coleman, H, Dekhtyar, L, Guan, X, Ho, Sl, Legaspi, R, Maduro, Ql, Masiello, Ca, Mcdowell, Jc, Montemayor, C, Mullikin, Jc, Park, M, Riebow, Nl, Schandler, K, Schmidt, B, Sison, C, Smith, R, Stantripop, S, Thomas, Jw, Thomas, Pj, Vemulapalli, M, and Young, Ac.

Subjects
0301 basic medicine, Hemeproteins, Linkage disequilibrium, Quantitative Trait Loci, Single-nucleotide polymorphism, Genome-wide association study, Biology, Quantitative trait locus, Melanocyte, Polymorphism, Single Nucleotide, Linkage Disequilibrium, 03 medical and health sciences, Heme-Binding Proteins, 0302 clinical medicine, Genetics, medicine, Basic Helix-Loop-Helix Transcription Factors, Humans, Genetic Predisposition to Disease, Melanoma, Genetics (clinical), Cells, Cultured, Genetic association, Research, medicine.disease, Repressor Proteins, 030104 developmental biology, medicine.anatomical_structure, 030220 oncology & carcinogenesis, Expression quantitative trait loci, Interferon Regulatory Factors, Melanocytes, Carrier Proteins
Abstract

Most expression quantitative trait locus (eQTL) studies to date have been performed in heterogeneous tissues as opposed to specific cell types. To better understand the cell-type–specific regulatory landscape of human melanocytes, which give rise to melanoma but account for cis-eQTL SNPs prior to linkage disequilibrium (LD) pruning and 4997 eGenes (FDR < 0.05). Melanocyte eQTLs differed considerably from those identified in the 44 GTEx tissue types, including skin. Over a third of melanocyte eGenes, including key genes in melanin synthesis pathways, were unique to melanocytes compared to those of GTEx skin tissues or TCGA melanomas. The melanocyte data set also identified trans-eQTLs, including those connecting a pigmentation-associated functional SNP with four genes, likely through cis-regulation of IRF4. Melanocyte eQTLs are enriched in cis-regulatory signatures found in melanocytes as well as in melanoma-associated variants identified through genome-wide association studies. Melanocyte eQTLs also colocalized with melanoma GWAS variants in five known loci. Finally, a transcriptome-wide association study using melanocyte eQTLs uncovered four novel susceptibility loci, where imputed expression levels of five genes (ZFP90, HEBP1, MSC, CBWD1, and RP11-383H13.1) were associated with melanoma at genome-wide significant P-values. Our data highlight the utility of lineage-specific eQTL resources for annotating GWAS findings, and present a robust database for genomic research of melanoma risk and melanocyte biology.

Published
2018

12. Novel pleiotropic risk loci for melanoma and nevus density implicate multiple biological pathways

Author

Duffy, David L, Zhu, Gu, Li, Xin, Sanna, Marianna, Iles, Mark M, Jacobs, Leonie C, Evans, David M, Yazar, Seyhan, Beesley, Jonathan, Law, Matthew H, Kraft, Peter, Visconti, Alessia, Taylor, John C, Lui, Fan, Wright, Margaret J, Henders, Anjali K, Bowdler, Lisa, Glass, Dan, Ikram, Arfan M, Uitterlinden, André G, Madden, Pamela A, Heath, Andrew C, Nelson, Elliot C, Green, Adele C, Chanock, Stephen, Barrett, Jennifer H, Brown, Matthew A, Hayward, Nicholas K, MacGregor, Stuart, Sturm, Richard A, Hewitt, Alex W, Melanoma GWAS Consortium, Kayser, Manfred, Hunter, David J, Newton Bishop, Julia A, Spector, Timothy D, Montgomery, Grant W, Mackey, David A, Smith, George Davey, Nijsten, Tamar E, Bishop, D Timothy, Bataille, Veronique, Falchi, Mario, Han, Jiali, and Martin, Nicholas G

Subjects
Skin Neoplasms, Telomere-Binding Proteins, Nerve Tissue Proteins, Polymorphism, Single Nucleotide, Histone Deacetylases, White People, Receptors, G-Protein-Coupled, Group VI Phospholipases A2, Guanine Nucleotide Exchange Factors, Humans, Genetic Predisposition to Disease, skin and connective tissue diseases, Melanoma, Telomerase, Nevus, Pigmented, Stem Cell Factor, Microfilament Proteins, Nuclear Proteins, RNA-Binding Proteins, Genetic Pleiotropy, 3. Good health, Repressor Proteins, MicroRNAs, Cytochrome P-450 CYP1B1, Interferon Regulatory Factors, RNA, Carrier Proteins, Genome-Wide Association Study
Abstract

The total number of acquired melanocytic nevi on the skin is strongly correlated with melanoma risk. Here we report a meta-analysis of 11 nevus GWAS from Australia, Netherlands, UK, and USA comprising 52,506 individuals. We confirm known loci including MTAP, PLA2G6, and IRF4, and detect novel SNPs in KITLG and a region of 9q32. In a bivariate analysis combining the nevus results with a recent melanoma GWAS meta-analysis (12,874 cases, 23,203 controls), SNPs near GPRC5A, CYP1B1, PPARGC1B, HDAC4, FAM208B, DOCK8, and SYNE2 reached global significance, and other loci, including MIR146A and OBFC1, reached a suggestive level. Overall, we conclude that most nevus genes affect melanoma risk (KITLG an exception), while many melanoma risk loci do not alter nevus count. For example, variants in TERC and OBFC1 affect both traits, but other telomere length maintenance genes seem to affect melanoma risk only. Our findings implicate multiple pathways in nevogenesis.

13. Gastroesophageal reflux GWAS identifies risk loci that also associate with subsequent severe esophageal diseases

Author

An, Jiyuan, Gharahkhani, Puya, Law, Matthew H, Ong, Jue-Sheng, Han, Xikun, Olsen, Catherine M, Neale, Rachel E, Lai, John, Vaughan, Tom L, Gockel, Ines, Thieme, René, Böhmer, Anne C, Jankowski, Janusz, Fitzgerald, Rebecca C, Schumacher, Johannes, Palles, Claire, BEACON, 23andMe Research Team, Whiteman, David C, and MacGregor, Stuart

Subjects
Male, Genetic Loci, Gastroesophageal Reflux, Humans, Female, Genetic Predisposition to Disease, Esophageal Diseases, Polymorphism, Single Nucleotide, humanities, digestive system diseases, 3. Good health, Genome-Wide Association Study
Abstract

Gastroesophageal reflux disease (GERD) is caused by gastric acid entering the esophagus. GERD has high prevalence and is the major risk factor for Barrett's esophagus (BE) and esophageal adenocarcinoma (EA). We conduct a large GERD GWAS meta-analysis (80,265 cases, 305,011 controls), identifying 25 independent genome-wide significant loci for GERD. Several of the implicated genes are existing or putative drug targets. Loci discovery is greatest with a broad GERD definition (including cases defined by self-report or medication data). Further, 91% of the GERD risk-increasing alleles also increase BE and/or EA risk, greatly expanding gene discovery for these traits. Our results map genes for GERD and related traits and uncover potential new drug targets for these conditions.

14. Assessment of polygenic architecture and risk prediction based on common variants across fourteen cancers

Author

Montserrat Garcia-Closas, Ellen L. Goode, Mark M. Iles, Brian M. Wolpin, Stephen J. Chanock, Susan L. Slager, Li Hsu, Clare Turnbull, Ccfr, Michael Hoffmeister, Peter T. Campbell, Maria Teresa Landi, Paul D.P. Pharoah, Amber N. Hurson, Melissa L. Bondy, Roger L. Milne, Peter A. Kanetsky, Simon A. Gayther, Christopher A. Haiman, Nicola J. Camp, Mark A. Jenkins, Margaret Wrensch, Bcac, Ulrike Peters, Jill S. Barnholtz-Sloan, Richard S. Houlston, PanScan, Haoyu Zhang, Christopher I. Amos, Ben Kinnersley, GenoMEL, Florence Demenais, Rosalind A. Eeles, Katherine A. McGlynn, Practical, John K. Wiencke, Gicc, Katherine L. Nathanson, Stolzenberg-Solomon R, Brenda M. Birmann, Rayjean J. Hung, Donghui Li, David C. Whiteman, Ghislaine Scelo, Sonja I. Berndt, Alison P. Klein, Sarah V. Ward, Per Hall, D. Timothy Bishop, Tracy A. O'Mara, Kirsten B. Moysich, Corect, Laufey T. Amundadottir, Marjanka K. Schmidt, Ian Tomlinson, Ocac, Yan Zhang, Gloria M. Petersen, Ali Amin Al Olama, Puya Gharahkhani, Deborah J. Thompson, Paul Brennan, Douglas F. Easton, Celeste Leigh Pearce, InterLymph, Jacques Simard, Mark H. Greene, Zsofia Kote-Jarai, Nilanjan Chatterjee, Ecac, Marlene Danner Dalgaard, Mark P. Purdue, Beatrice Melin, Graham Casey, Rajesh Kumar, Jenny Chang-Claude, Thomas A. Sellers, Stephen B. Gruber, Beacon, James D. McKay, Tecac, Stephanie L. Schmit, Tom Grotmol, Kyriaki Michailidou, Immaculata De Vivo, Joellen M. Schildkraut, Eric J. Jacobs, Fredrik Wiklund, Amanda B. Spurdle, Nathaniel Rothman, Parichoy Pal Choudhury, Peter Kraft, Panc, Renal Cancer Gwas, Neil E. Caporaso, Joe Dennis, Matthew Law, Fredrick R. Schumacher, Harvey A. Risch, Stuart MacGregor, Andrew Berchuck, Ilcco, Oral Cancer Gwas, Zhang, Yan Dora [0000-0002-5302-3690], Hurson, Amber N. [0000-0001-7831-6660], Easton, Douglas F. [0000-0003-2444-3247], Milne, Roger L. [0000-0001-5764-7268], Simard, Jacques [0000-0001-6906-3390], Michailidou, Kyriaki [0000-0001-7065-1237], Dennis, Joe [0000-0003-4591-1214], Schmidt, Marjanka K. [0000-0002-2228-429X], Gharahkhani, Puya [0000-0002-4203-5952], Whiteman, David [0000-0003-2563-9559], Jenkins, Mark [0000-0002-8964-6160], Peters, Ulrike [0000-0001-5666-9318], Schmit, Stephanie L. [0000-0001-5931-1194], O’Mara, Tracy A. [0000-0002-5436-3232], Spurdle, Amanda B. [0000-0003-1337-7897], Thompson, Deborah J. [0000-0003-1465-5799], Tomlinson, Ian [0000-0003-3037-1470], Landi, Maria Teresa [0000-0003-4507-329X], Law, Matthew H. [0000-0002-4303-8821], Iles, Mark M. [0000-0002-2603-6509], Demenais, Florence [0000-0001-8361-0936], Kumar, Rajiv [0000-0002-6093-0395], MacGregor, Stuart [0000-0001-6731-8142], Bishop, D. Timothy [0000-0002-8752-8785], Houlston, Richard [0000-0002-5268-0242], Barnholtz-Sloan, Jill [0000-0001-6190-9304], Kinnersley, Ben [0000-0003-1783-6296], Amos, Christopher I. [0000-0002-8540-7023], Hung, Rayjean J. [0000-0002-4486-7496], Brennan, Paul [0000-0002-0518-8714], Birmann, Brenda M. [0000-0002-7550-5498], Camp, Nicola J. [0000-0002-4788-1998], Kraft, Peter [0000-0002-4472-8103], Pharoah, Paul D. P. [0000-0001-8494-732X], Gayther, Simon A. [0000-0001-7937-5443], Amundadottir, Laufey T. [0000-0003-1859-8971], Jacobs, Eric J. [0000-0002-8458-7659], Klein, Alison P. [0000-0003-2737-8399], Eeles, Rosalind A. [0000-0002-3698-6241], Schumacher, Fredrick R. [0000-0002-3073-7463], Greene, Mark H. [0000-0003-1852-9239], Kanetsky, Peter A. [0000-0002-5567-9618], Nathanson, Katherine L. [0000-0002-6740-0901], Wiklund, Fredrik [0000-0002-4623-0544], Chanock, Stephen J. [0000-0002-2324-3393], Garcia-Closas, Montserrat [0000-0003-1033-2650], Apollo - University of Cambridge Repository, Hurson, Amber N [0000-0001-7831-6660], Easton, Douglas F [0000-0003-2444-3247], Milne, Roger L [0000-0001-5764-7268], Schmidt, Marjanka K [0000-0002-2228-429X], Schmit, Stephanie L [0000-0001-5931-1194], O'Mara, Tracy A [0000-0002-5436-3232], Spurdle, Amanda B [0000-0003-1337-7897], Thompson, Deborah J [0000-0003-1465-5799], Law, Matthew H [0000-0002-4303-8821], Iles, Mark M [0000-0002-2603-6509], Bishop, D Timothy [0000-0002-8752-8785], Amos, Christopher I [0000-0002-8540-7023], Hung, Rayjean J [0000-0002-4486-7496], Birmann, Brenda M [0000-0002-7550-5498], Camp, Nicola J [0000-0002-4788-1998], Pharoah, Paul DP [0000-0001-8494-732X], Gayther, Simon A [0000-0001-7937-5443], Amundadottir, Laufey T [0000-0003-1859-8971], Jacobs, Eric J [0000-0002-8458-7659], Klein, Alison P [0000-0003-2737-8399], Eeles, Rosalind A [0000-0002-3698-6241], Schumacher, Fredrick R [0000-0002-3073-7463], Greene, Mark H [0000-0003-1852-9239], Kanetsky, Peter A [0000-0002-5567-9618], Nathanson, Katherine L [0000-0002-6740-0901], and Chanock, Stephen J [0000-0002-2324-3393]

Subjects
Male, 0301 basic medicine, Oncology, Multifactorial Inheritance, 45/43, General Physics and Astronomy, Diseases, Genome-wide association study, 0302 clinical medicine, Risk Factors, Neoplasms, 631/208/68, lcsh:Science, Cancer genetics, Multidisciplinary, 692/699, Incidence, article, 030220 oncology & carcinogenesis, Medical genetics, Female, Medical Genetics, medicine.medical_specialty, Science, Biology, Polymorphism, Single Nucleotide, Risk Assessment, General Biochemistry, Genetics and Molecular Biology, 03 medical and health sciences, Breast cancer, SDG 3 - Good Health and Well-being, Internal medicine, medicine, Genetic predisposition, Animals, Humans, Genetic Predisposition to Disease, Lung cancer, Genetic association, Medicinsk genetik, Cancer och onkologi, Models, Genetic, 45, Cancer, General Chemistry, Heritability, medicine.disease, 030104 developmental biology, Sample size determination, Relative risk, Cancer and Oncology, lcsh:Q, Ovarian cancer, Genome-Wide Association Study
Abstract

Genome-wide association studies (GWAS) have led to the identification of hundreds of susceptibility loci across cancers, but the impact of further studies remains uncertain. Here we analyse summary-level data from GWAS of European ancestry across fourteen cancer sites to estimate the number of common susceptibility variants (polygenicity) and underlying effect-size distribution. All cancers show a high degree of polygenicity, involving at a minimum of thousands of loci. We project that sample sizes required to explain 80% of GWAS heritability vary from 60,000 cases for testicular to over 1,000,000 cases for lung cancer. The maximum relative risk achievable for subjects at the 99th risk percentile of underlying polygenic risk scores (PRS), compared to average risk, ranges from 12 for testicular to 2.5 for ovarian cancer. We show that PRS have potential for risk stratification for cancers of breast, colon and prostate, but less so for others because of modest heritability and lower incidence., In cancer many gene variants may contribute to disease etiology, but the impact of a given gene variant may have varied effect size. Here, the authors analyse summary statistics of genome-wide association studies from fourteen cancers, and show the utility of polygenic risk scores may vary depending on cancer type.

Published
2020
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15. Functional annotation and investigation of the 10q24.33 melanoma risk locus identifies a common variant that influences transcriptional regulation of OBFC1

Author

Massimiliano Scalvenzi, Alessandro Testori, Michiel Vermeulen, Annalaura Montella, Nicola Zambrano, Marijke P. Baltissen, Vito Alessandro Lasorsa, Marianna Avitabile, Kevin M. Brown, Sueva Cantalupo, Flora Cimmino, Antonella Cardinale, Mai Xu, Mark M. Iles, Achille Iolascon, Paola Ghiorzo, Fabrizio Ayala, Ferdinando Bonfiglio, Mariangela Succoio, Matthew Law, Daniela Formicola, Matteo Esposito, Mario Capasso, Cardinale, Antonella, Cantalupo, Sueva, Lasorsa, Vito Alessandro, Montella, Annalaura, Cimmino, Flora, Succoio, Mariangela, Vermeulen, Michiel, Baltissen, Marijke P, Esposito, Matteo, Avitabile, Marianna, Formicola, Daniela, Testori, Alessandro, Bonfiglio, Ferdinando, Ghiorzo, Paola, Scalvenzi, Massimiliano, Ayla, Fabrizio, Zambrano, Nicola, Iles, Mark M, Xu, Mai, Law, Matthew H, Brown, Kevin M, Iolascon, Achille, and Capasso, Mario

Subjects
Genetics, Skin Neoplasms, Single-nucleotide polymorphism, Locus (genetics), General Medicine, Biology, Polymorphism, Single Nucleotide, Minor allele frequency, Humans, Genetic Predisposition to Disease, General Article, Allele, Enhancer, Gene, Transcription factor, Molecular Biology, Melanoma, Genetics (clinical), Epigenomics
Abstract

The 10q24.33 locus is known to be associated with susceptibility to cutaneous malignant melanoma (CMM), but the mechanisms underlying this association have been not extensively investigated. We carried out an integrative genomic analysis of 10q24.33 using epigenomic annotations and in vitro reporter gene assays to identify regulatory variants. We found two putative functional single nucleotide polymorphisms (SNPs) in an enhancer and in the promoter of OBFC1, respectively, in neural crest and CMM cells, one, rs2995264, altering enhancer activity. The minor allele G of rs2995264 correlated with lower OBFC1 expression in 470 CMM tumors and was confirmed to increase the CMM risk in a cohort of 484 CMM cases and 1801 controls of Italian origin. Hi-C and chromosome conformation capture (3C) experiments showed the interaction between the enhancer-SNP region and the promoter of OBFC1 and an isogenic model characterized by CRISPR-Cas9 deletion of the enhancer-SNP region confirmed the potential regulatory effect of rs2995264 on OBFC1 transcription. Moreover, the presence of G-rs2995264 risk allele reduced the binding affinity of the transcription factor MEOX2. Biologic investigations showed significant cell viability upon depletion of OBFC1, specifically in CMM cells that were homozygous for the protective allele. Clinically, high levels of OBFC1 expression associated with histologically favorable CMM tumors. Finally, preliminary results suggested the potential effect of decreased OBFC1 expression on telomerase activity in tumorigenic conditions. Our results support the hypothesis that reduced expression of OBFC1 gene through functional heritable DNA variation can contribute to malignant transformation of normal melanocytes.

Published
2022

16. Gastroesophageal reflux GWAS identifies risk loci that also associate with subsequent severe esophageal diseases

Author

Jue-Sheng Ong, René Thieme, Janusz Jankowski, Jiyuan An, Anne C. Böhmer, Stuart MacGregor, David C. Whiteman, Johannes Schumacher, Claire Palles, Rachel E. Neale, Matthew Law, Puya Gharahkhani, Ines Gockel, John Lai, Catherine M. Olsen, Xikun Han, Beacon, Rebecca C. Fitzgerald, Tom L. Vaughan, Gharahkhani, Puya [0000-0002-4203-5952], Law, Matthew H [0000-0002-4303-8821], Ong, Jue-Sheng [0000-0002-6062-710X], Han, Xikun [0000-0002-3823-7308], Olsen, Catherine M [0000-0003-4483-1888], Böhmer, Anne C [0000-0002-5716-786X], Fitzgerald, Rebecca C [0000-0002-3434-3568], MacGregor, Stuart [0000-0001-6731-8142], and Apollo - University of Cambridge Repository

Subjects
Male, 0301 basic medicine, medicine.medical_specialty, Science, General Physics and Astronomy, Genome-wide association study, Disease, Esophageal Diseases, Genome-wide association studies, Polymorphism, Single Nucleotide, Gastroenterology, Article, General Biochemistry, Genetics and Molecular Biology, 03 medical and health sciences, 0302 clinical medicine, Gastro-oesophageal reflux disease, Internal medicine, Humans, Medicine, Genetic Predisposition to Disease, Allele, Esophagus, Risk factor, lcsh:Science, Cancer genetics, Multidisciplinary, business.industry, Esophageal disease, Oesophageal cancer, General Chemistry, medicine.disease, humanities, digestive system diseases, 3. Good health, 030104 developmental biology, medicine.anatomical_structure, Genetic Loci, 030220 oncology & carcinogenesis, Gastroesophageal Reflux, GERD, Adenocarcinoma, lcsh:Q, Female, business, Genome-Wide Association Study
Abstract

Gastroesophageal reflux disease (GERD) is caused by gastric acid entering the esophagus. GERD has high prevalence and is the major risk factor for Barrett’s esophagus (BE) and esophageal adenocarcinoma (EA). We conduct a large GERD GWAS meta-analysis (80,265 cases, 305,011 controls), identifying 25 independent genome-wide significant loci for GERD. Several of the implicated genes are existing or putative drug targets. Loci discovery is greatest with a broad GERD definition (including cases defined by self-report or medication data). Further, 91% of the GERD risk-increasing alleles also increase BE and/or EA risk, greatly expanding gene discovery for these traits. Our results map genes for GERD and related traits and uncover potential new drug targets for these conditions., Gastroesophageal reflux disease (GERD) is a major risk factor for Barret’s esophagus (BE) and esophageal adenocarcinoma (EA). Here, An et al. report 25 genetic loci for GERD, many of which associate with BE and EA or with other traits such as BMI.

Published
2019

17. A comprehensive re-assessment of the association between vitamin D and cancer susceptibility using Mendelian randomization

Author

Upekha E Liyanage, Amanda B. Spurdle, K. E. Huber, Anna H. Wu, J. Fah Sathirapongsasuti, Douglas A. Corley, C. Tian, Anne Böhmer, David A. Hinds, A. Auton, Xikun Han, Matt Buas, M. Agee, Rebecca C. Fitzgerald, Puya Gharahkhani, Yvonne Romero, S. L. Elson, Ines Gockel, Johannes Schumacher, Leslie Bernstein, Nigel C. Bird, Thomas L. Vaughan, E. S. Noblin, P. Fontanillas, Laura J. Hardie, Brian J. Reid, V. Vacic, M. H. McIntyre, Jiyuan An, Andrew Berchuck, Claire Palles, Weimin Ye, K. Bryc, S. J. Pitts, Jue-Sheng Ong, Geoffrey Liu, R. K. Bell, Rachel E. Neale, Marilie D. Gammon, J. L. Mountain, C. A. M. Northover, Catherine M. Olsen, C. H. Wilson, Janusz Jankowski, Matthew Law, A. Kleinman, Suzanne C. Dixon-Suen, J. Y. Tung, Aaron P. Thrift, Wong-Ho Chow, Paul Pharoah, Jean-Cluade Dusingize, Suyash Shringarpure, Mark M. Iles, Wei Zheng, N. A. Furlotte, Penelope M. Webb, B. Alipanahi, O. V. Sazonova, Stuart MacGregor, David Whiteman, J. F. Shelton, Harvey A. Risch, N. K. Litterman, Tracy A. O'Mara, Nicholas J. Shaheen, Ong, Jue-Sheng [0000-0002-6062-710X], Dixon-Suen, Suzanne C [0000-0003-3714-8386], Han, Xikun [0000-0002-3823-7308], Gockel, Ines [0000-0001-7423-713X], Böhmer, Anne [0000-0002-5716-786X], O'Mara, Tracy [0000-0002-5436-3232], Spurdle, Amanda [0000-0003-1337-7897], Law, Matthew H [0000-0002-4303-8821], Iles, Mark M [0000-0002-2603-6509], Pharoah, Paul [0000-0001-8494-732X], Zheng, Wei [0000-0003-1226-070X], Thrift, Aaron P [0000-0002-0084-5308], Olsen, Catherine [0000-0003-4483-1888], Gharahkhani, Puya [0000-0002-4203-5952], Webb, Penelope M [0000-0003-0733-5930], MacGregor, Stuart [0000-0001-6731-8142], and Apollo - University of Cambridge Repository

Subjects
0301 basic medicine, Oncology, medicine.medical_specialty, Science, General Physics and Astronomy, Sunburn, Single-nucleotide polymorphism, General Biochemistry, Genetics and Molecular Biology, Article, Cancer prevention, 03 medical and health sciences, 0302 clinical medicine, Cancer epidemiology, Risk Factors, Internal medicine, Neoplasms, Mendelian randomization, Vitamin D and neurology, medicine, Humans, Genetic Predisposition to Disease, 030212 general & internal medicine, Risk factor, Vitamin D, Child, Cancer genetics, Multidisciplinary, business.industry, Pigmentation, Case-control study, Cancer, Mendelian Randomization Analysis, General Chemistry, medicine.disease, Confidence interval, 030104 developmental biology, Case-Control Studies, Multivariate Analysis, business
Abstract

Previous Mendelian randomization (MR) studies on 25-hydroxyvitamin D (25(OH)D) and cancer have typically adopted a handful of variants and found no relationship between 25(OH)D and cancer; however, issues of horizontal pleiotropy cannot be reliably addressed. Using a larger set of variants associated with 25(OH)D (74 SNPs, up from 6 previously), we perform a unified MR analysis to re-evaluate the relationship between 25(OH)D and ten cancers. Our findings are broadly consistent with previous MR studies indicating no relationship, apart from ovarian cancers (OR 0.89; 95% C.I: 0.82 to 0.96 per 1 SD change in 25(OH)D concentration) and basal cell carcinoma (OR 1.16; 95% C.I.: 1.04 to 1.28). However, after adjustment for pigmentation related variables in a multivariable MR framework, the BCC findings were attenuated. Here we report that lower 25(OH)D is unlikely to be a causal risk factor for most cancers, with our study providing more precise confidence intervals than previously possible., Studies of the genetic association between vitamin D and cancer risk have typically been underpowered. Here the authors analyse this using Mendelian Randomisation with more than 70 vitamin D variants obtained from the UK Biobank and large-scale data from various consortia, confirming null associations between vitamin D and most cancers.

Published
2020

18. Neural crest-derived tumor neuroblastoma and melanoma share 1p13.2 as susceptibility locus that shows a long-range interaction with the SLC16A1 gene

Author

Mark M. Iles, Massimiliano Scalvenzi, Annalaura Montella, Zalman Vaksman, Mario Capasso, Daniela Formicola, Stefania Staibano, Alessandro Testori, Vito Alessandro Lasorsa, Hakon Hakonarson, Matteo Esposito, Sueva Cantalupo, Jan Koster, Paola Ghiorzo, Fabrizio Ayala, Sharon J. Diskin, Marcella Devoto, Antonella Cardinale, Marianna Avitabile, Flora Cimmino, Maria Fiammetta Romano, Maria Valeria Corrias, Mariangela Succoio, Nicola Zambrano, Virginia Andreotti, Matthew Law, Kevin M. Brown, Achille Iolascon, Avitabile, Marianna, Succoio, Mariangela, Testori, Alessandro, Cardinale, Antonella, Vaksman, Zalman, Lasorsa, Vito Alessandro, Cantalupo, Sueva, Esposito, Matteo, Cimmino, Flora, Montella, Annalaura, Formicola, Daniela, Koster, Jan, Andreotti, Virginia, Ghiorzo, Paola, Romano, Maria Fiammetta, Staibano, Stefania, Scalvenzi, Massimiliano, Ayala, Fabrizio, Hakonarson, Hakon, Corrias, Maria Valeria, Devoto, Marcella, Law, Matthew H, Iles, Mark M, Brown, Kevin, Diskin, Sharon, Zambrano, Nicola, Iolascon, Achille, Capasso, Mario, Oncogenomics, and CCA - Cancer biology and immunology

Subjects
0301 basic medicine, Male, Monocarboxylic Acid Transporters, Cancer Research, Neuroblastoma, malignant cutaneous melanoma, neural crest cells, GWAS, Skin Neoplasms, Adrenal Gland Neoplasms, Genome-wide association study, Locus (genetics), Biology, medicine.disease_cause, Polymorphism, Single Nucleotide, 03 medical and health sciences, 0302 clinical medicine, Cell Movement, medicine, Humans, Genetic Predisposition to Disease, Allele, Melanoma, Cancer Biomarkers and Molecular Epidemiology, Symporters, Neural crest, Cell Differentiation, General Medicine, Cell cycle, medicine.disease, 030104 developmental biology, Chromosomes, Human, Pair 1, Neural Crest, 030220 oncology & carcinogenesis, Cancer research, Female, Carcinogenesis, Genome-Wide Association Study
Abstract

Neuroblastoma (NB) and malignant cutaneous melanoma (CMM) are neural crest cells (NCC)-derived tumors and may have a shared genetic basis, but this has not been investigated systematically by genome-wide association studies (GWAS). We took a three-staged approach to conduct cross-disease meta-analysis of GWAS for NB and CMM (2101 NB cases and 4202 controls; 12 874 CMM cases and 23 203 controls) to identify shared loci. Findings were replicated in 1403 NB cases and 1403 controls of European ancestry and in 636 NB, 508 CMM cases and 2066 controls of Italian origin. We found a cross-association at locus 1p13.2 (rs2153977, odds ratio = 0.91, P = 5.36 × 10−8). We also detected a suggestive (P < 10−7) NB-CMM cross-association at 2q37.1 with opposite effect on cancer risk. Pathway analysis of 110 NB-CMM risk loci with P < 10−4 demonstrated enrichment of biological processes such as cell migration, cell cycle, metabolism and immune response, which are essential of human NCC development, underlying both tumors. In vitro and in silico analyses indicated that the rs2153977-T protective allele, located in an NB and CMM enhancer, decreased expression of SLC16A1 via long-range loop formation and altered a T-box protein binding site. Upon depletion of SLC16A1, we observed a decrease of cellular proliferation and invasion in both NB and CMM cell lines, suggesting its role as oncogene. This is the largest study to date examining pleiotropy across two NC cell-derived tumors identifying 1p13.2 as common susceptibility locus for NB and CMM risk. We demonstrate that combining genome-wide association studies results across cancers with same origins can identify new loci common to neuroblastoma and melanoma arising from tissues which originate from neural crest cells. Our results also show 1p13.2 confer risk to neuroblastoma and melanoma by regulating SLC16A1.

Published
2020

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