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512 results on '"Demenais, F."'

1. Associations of pigmentary and naevus phenotype with melanoma risk in two populations with comparable ancestry but contrasting levels of ambient sun exposure

Author

Cust, AE, Drummond, M, Bishop, DT, Azizi, L, Schmid, H, Jenkins, MA, Hopper, JL, Armstrong, BK, Aitken, JF, Kefford, RF, Giles, GG, Demenais, F, Goldstein, AM, Barrett, JH, Kanetsky, PA, Elder, DE, Mann, GJ, and Newton‐Bishop, JA

Subjects
Biomedical and Clinical Sciences, Oncology and Carcinogenesis, Clinical Research, Cancer, Climate-Related Exposures and Conditions, Adolescent, Adult, Aged, Australia, Case-Control Studies, Environmental Exposure, Extremities, Female, Hair Color, Humans, Male, Melanoma, Middle Aged, Nevus, Pigmented, Phenotype, Risk Assessment, Risk Factors, Sex Factors, Skin Neoplasms, Skin Pigmentation, Sunlight, Tumor Burden, United Kingdom, White People, Young Adult, Clinical Sciences, Dermatology & Venereal Diseases, Clinical sciences
Abstract

BackgroundPeople at high risk of developing melanoma are usually identified by pigmentary and naevus phenotypes.ObjectiveWe examined whether associations of these phenotypes with melanoma risk differed by ambient sun exposure or participant characteristics in two population-based, case-control studies with comparable ancestry but different ambient sun exposure.MethodsData were analysed from 616 cases and 496 controls from the Australian Melanoma Family Study and 2012 cases and 504 controls from the Leeds (UK) case-control study. Questionnaire, interview and dermatological skin examination data were collected using the same measurement protocols. Relative risks were estimated as odds ratios using unconditional logistic regression, adjusted for potential confounders.ResultsHair and skin colour were the strongest pigmentary phenotype risk factors. All associations of pigmentary phenotype with melanoma risk were similar across countries. The median number of clinically assessed naevi was approximately three times higher in Australia than Leeds, but the relative risks for melanoma associated with each additional common or dysplastic naevus were higher for Leeds than Australia, especially for naevi on the upper and lower limbs. Higher naevus counts on the head and neck were associated with a stronger relative risk for melanoma for women than men. The two countries had similar relative risks for melanoma based on self-reported naevus density categories, but personal perceptions of naevus number differed by country. There was no consistent evidence of interactions between phenotypes on risk.ConclusionsClassifying people at high risk of melanoma based on their number of naevi should ideally take into account their country of residence, type of counts (clinical or self-reported), body site on which the naevus counts are measured and sex. The presence of naevi may be a stronger indicator of a genetic predisposition in the UK than in Australia based on less opportunity for sun exposure to influence naevus development.

Published
2019

2. Recommandations pour le diagnostic de prédisposition génétique au mélanome cutané et pour la prise en charge des personnes à risque

Author

Avril, M.-F., Bahadoran, P., Cabaret, O., Caron, O., de la Fouchardière, A., Demenais, F., Desjardins, L., Frébourg, T., Hammel, P., Leccia, M.-T., Lesueur, F., Mahé, E., Martin, L., Maubec, E., Remenieras, A., Richard, S., Robert, C., Soufir, N., Stoppa-Lyonnet, D., Thomas, L., Vabres, P., and Bressac- de Paillerets, B.

Published
2015
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6. A common variant in RAB27A gene is associated with fractional exhaled nitric oxide levels in adults

Author

Bouzigon, E., Nadif, R., Thompson, E. E., Concas, M. P., Kuldanek, S., Du, G., Brossard, M., Lavielle, N., Sarnowski, C., Vaysse, A., Dessen, P., van der Valk, R. J.P., Duijts, L., Henderson, A. J., Jaddoe, V. W.V., de Jongste, J. C., Casula, S., Biino, G., Dizier, M.-H., Pin, I., Matran, R., Lathrop, M., Pirastu, M., Demenais, F., and Ober, C.

Published
2015
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13. Overlapping genetic architecture between Parkinson disease and melanoma

Author

Dube, Umber Ibanez, Laura Budde, John P. Benitez, Bruno A. and Davis, Albert A. Harari, Oscar Iles, Mark M. Law, Matthew H. Brown, Kevin M. Agee, Michelle Alipanahi, Babak and Auton, Adam Bell, Robert K. Bryc, Katarzyna Elson, Sarah L. Fontanillas, Pierre Furlotte, Nicholas A. Hinds, David A. and Huber, Karen E. Kleinman, Aaron Litterman, Nadia K. and McCreight, Jennifer C. McIntyre, Matthew H. Mountain, Joanna L. and Noblin, Elizabeth S. Northover, Carrie A. M. Pitts, Steven J. Sathirapongsasuti, J. Fah Sazonova, Olga V. Shelton, Janie F. Shringarpure, Suyash Tian, Chao Tung, Joyce Y. and Vacic, Vladimir Wilson, Catherine H. Law, M. H. Law, M. H. and Bishop, D. T. Lee, J. E. Brossard, M. Martin, N. G. and Moses, E. K. Song, F. Barrett, J. H. Kumar, R. Easton, D. F. Pharoah, P. D. Swerdlow, A. J. Kypreou, K. P. and Taylor, J. C. Harland, M. Randerson-Moor, J. Akslen, L. A. and Andresen, P. A. Avril, M. F. Azizi, E. Scarra, G. B. and Brown, K. M. Debniak, T. Duffy, D. L. Elder, D. E. Fang, S. Friedman, E. Galan, P. Ghiorzo, P. Gillanders, E. M. and Goldstein, A. M. Gruis, N. A. Hansson, J. Helsing, P. and Hocevar, M. Hoiom, V. Ingvar, C. Kanetsky, P. A. and Chen, W. V. Landi, M. T. Lang, J. Lathrop, G. M. and Lubinski, J. Mackie, R. M. Mann, G. J. Molven, A. and Montgomery, G. W. Novakovic, S. Olsson, H. Puig, S. and Puig-Butille, J. A. Wu, W. Qureshi, A. A. Radford-Smith, G. L. Van der Stoep, N. Van Doorn, R. Whiteman, D. C. and Craig, J. E. Schadendorf, E. Simms, L. A. Burdon, K. P. and Nyholt, D. R. Pooley, K. A. Orr, N. Stratigos, A. J. and Cust, A. E. Ward, S. V. Hayward, N. K. Han, J. Schulze, H. J. Dunning, A. M. Bishop, J. A. Demenais, F. Amos, C. I. MacGregor, S. Iles, M. M. Cruchaga, Carlos 23andMe Research Team Melanoma Meta Analysis Consortium

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 x 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 x 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

14. Genome-wide association meta-analyses combining multiple risk phenotypes provide insights into the genetic architecture of cutaneous melanoma susceptibility

Author

Landi MT, Bishop DT, MacGregor S, Machiela MJ, Stratigos AJ, Ghiorzo P, Brossard M, Calista D, Choi J, Fargnoli MC, Zhang T, Rodolfo M, Trower AJ, Menin C, Martinez J, Hadjisavvas A, Song L, Stefanaki I, Scolyer R, Yang R, Goldstein AM, Potrony M, Kypreou KP, Pastorino L, Queirolo P, Pellegrini C, Cattaneo L, Zawistowski M, Gimenez-Xavier P, Rodriguez A, Elefanti L, Manoukian S, Rivoltini L, Smith BH, Loizidou MA, Del Regno L, Massi D, Mandala M, Khosrotehrani K, Akslen LA, Amos CI, Andresen PA, Avril MF, Azizi E, Soyer HP, Bataille V, Dalmasso B, Bowdler LM, Burdon KP, Chen WV, Codd V, Craig JE, Debniak T, Falchi M, Fang S, Friedman E, Simi S, Galan P, Garcia-Casado Z, Gillanders EM, Gordon S, Green A, Gruis NA, Hansson J, Harland M, Harris J, Helsing P, Henders A, Hocevar M, Höiom V, Hunter D, Ingvar C, Kumar R, Lang J, Lathrop GM, Lee JE, Li X, Lubinski J, Mackie RM, Malt M, Malvehy J, McAloney K, Mohamdi H, Molven A, Moses EK, Neale RE, Novakovic S, Nyholt DR, Olsson H, Orr N, Fritsche LG, Puig-Butille JA, Qureshi AA, Radford-Smith GL, Randerson-Moor J, Requena C, Rowe C, Samani NJ, Sanna M, Schadendorf D, Schulze HJ, Simms LA, Smithers M, Song F, Swerdlow AJ, van der Stoep N, Kukutsch NA, Visconti A, Wallace L, Ward SV, Wheeler L, Sturm RA, Hutchinson A, Jones K, Malasky M, Vogt A, Zhou W, Pooley KA, Elder DE, Han J, Hicks B, Hayward NK, Kanetsky PA, Brummett C, Montgomery GW, Olsen CM, Hayward C, Dunning AM, Martin NG, Evangelou E, Mann GJ, Long G, Pharoah PDP, Easton DF, Barrett JH, Cust AE, Abecasis G, Duffy DL, Whiteman DC, Gogas H, De Nicolo A, Tucker MA, Newton-Bishop JA, GenoMEL Consortium, Q-MEGA and QTWIN Investigators, ATHENS Melanoma Study Group, 23andMe, SDH Study Group, IBD Investigators, Essen-Heidelberg Investigators, AMFS Investigators, MelaNostrum Consortium, Peris K, Chanock SJ, Demenais F, Brown KM, Puig S, Nagore E, Shi J, Iles MM, and Law MH

Abstract

Meta-analysis of 36,760 cases and 375,188 controls identifies 54 loci associated with susceptibility to cutaneous melanoma. Further analysis combining nevus count and hair color GWAS results provide insights into the genetic architecture of melanoma. Most genetic susceptibility to cutaneous melanoma remains to be discovered. Meta-analysis genome-wide association study (GWAS) of 36,760 cases of melanoma (67% newly genotyped) and 375,188 controls identified 54 significant (P < 5 x 10(-8)) loci with 68 independent single nucleotide polymorphisms. Analysis of risk estimates across geographical regions and host factors suggests the acral melanoma subtype is uniquely unrelated to pigmentation. Combining this meta-analysis with GWAS of nevus count and hair color, and transcriptome association approaches, uncovered 31 potential secondary loci for a total of 85 cutaneous melanoma susceptibility loci. These findings provide insights into cutaneous melanoma genetic architecture, reinforcing the importance of nevogenesis, pigmentation and telomere maintenance, together with identifying potential new pathways for cutaneous melanoma pathogenesis.

Published
2020

15. Genome-wide association meta-analyses combining multiple risk phenotypes provide insights into the genetic architecture of cutaneous melanoma susceptibility

Author

Landi, M.T. Bishop, D.T. MacGregor, S. Machiela, M.J. Stratigos, A.J. Ghiorzo, P. Brossard, M. Calista, D. Choi, J. Fargnoli, M.C. Zhang, T. Rodolfo, M. Trower, A.J. Menin, C. Martinez, J. Hadjisavvas, A. Song, L. Stefanaki, I. Scolyer, R. Yang, R. Goldstein, A.M. Potrony, M. Kypreou, K.P. Pastorino, L. Queirolo, P. Pellegrini, C. Cattaneo, L. Zawistowski, M. Gimenez-Xavier, P. Rodriguez, A. Elefanti, L. Manoukian, S. Rivoltini, L. Smith, B.H. Loizidou, M.A. Del Regno, L. Massi, D. Mandala, M. Khosrotehrani, K. Akslen, L.A. Amos, C.I. Andresen, P.A. Avril, M.-F. Azizi, E. Soyer, H.P. Bataille, V. Dalmasso, B. Bowdler, L.M. Burdon, K.P. Chen, W.V. Codd, V. Craig, J.E. Dębniak, T. Falchi, M. Fang, S. Friedman, E. Simi, S. Galan, P. Garcia-Casado, Z. Gillanders, E.M. Gordon, S. Green, A. Gruis, N.A. Hansson, J. Harland, M. Harris, J. Helsing, P. Henders, A. Hočevar, M. Höiom, V. Hunter, D. Ingvar, C. Kumar, R. Lang, J. Lathrop, G.M. Lee, J.E. Li, X. Lubiński, J. Mackie, R.M. Malt, M. Malvehy, J. McAloney, K. Mohamdi, H. Molven, A. Moses, E.K. Neale, R.E. Novaković, S. Nyholt, D.R. Olsson, H. Orr, N. Fritsche, L.G. Puig-Butille, J.A. Qureshi, A.A. Radford-Smith, G.L. Randerson-Moor, J. Requena, C. Rowe, C. Samani, N.J. Sanna, M. Schadendorf, D. Schulze, H.-J. Simms, L.A. Smithers, M. Song, F. Swerdlow, A.J. van der Stoep, N. Kukutsch, N.A. Visconti, A. Wallace, L. Ward, S.V. Wheeler, L. Sturm, R.A. Hutchinson, A. Jones, K. Malasky, M. Vogt, A. Zhou, W. Pooley, K.A. Elder, D.E. Han, J. Hicks, B. Hayward, N.K. Kanetsky, P.A. Brummett, C. Montgomery, G.W. Olsen, C.M. Hayward, C. Dunning, A.M. Martin, N.G. Evangelou, E. Mann, G.J. Long, G. Pharoah, P.D.P. Easton, D.F. Barrett, J.H. Cust, A.E. Abecasis, G. Duffy, D.L. Whiteman, D.C. Gogas, H. De Nicolo, A. Tucker, M.A. Newton-Bishop, J.A. Peris, K. Chanock, S.J. Demenais, F. Brown, K.M. Puig, S. Nagore, E. Shi, J. Iles, M.M. Law, M.H. GenoMEL Consortium Q-MEGA QTWIN Investigators ATHENS Melanoma Study Group 23andMe The SDH Study Group IBD Investigators Essen-Heidelberg Investigators AMFS Investigators MelaNostrum Consortium

Abstract

Most genetic susceptibility to cutaneous melanoma remains to be discovered. Meta-analysis genome-wide association study (GWAS) of 36,760 cases of melanoma (67% newly genotyped) and 375,188 controls identified 54 significant (P < 5 × 10−8) loci with 68 independent single nucleotide polymorphisms. Analysis of risk estimates across geographical regions and host factors suggests the acral melanoma subtype is uniquely unrelated to pigmentation. Combining this meta-analysis with GWAS of nevus count and hair color, and transcriptome association approaches, uncovered 31 potential secondary loci for a total of 85 cutaneous melanoma susceptibility loci. These findings provide insights into cutaneous melanoma genetic architecture, reinforcing the importance of nevogenesis, pigmentation and telomere maintenance, together with identifying potential new pathways for cutaneous melanoma pathogenesis. © 2020, This is a U.S. government work and not under copyright protection in the U.S.; foreign copyright protection may apply.

Published
2020

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

Author

Houlston R., Choudhury P.P., Easton D.F., Milne R.L., Simard J., Hall P., Michailidou K., Dennis J., Schmidt M.K., Chang-Claude J., Gharahkhani P., Whiteman D., O'Mara T.A., Spurdle A.B., Thompson D.J., Tomlinson I., De Vivo I., Campbell P.T., Hoffmeister M., Jenkins M., Peters U., Hsu L., Gruber S.B., Casey G., Schmit S.L., Landi M.T., Law M.H., Iles M.M., Demenais F., Kumar R., MacGregor S., Bishop D.T., Ward S.V., Bondy M.L., Wiencke J.K., Melin B., Barnholtz-Sloan J., Kinnersley B., Wrensch M.R., Hung R.J., Caporaso N.E., Berndt S.I., Birmann B.M., Camp N.J., Kraft P., Rothman N., Slager S.L., Berchuck A., Pharoah P.D.P., Sellers T.A., Gayther S.A., Pearce C.L., Goode E.L., Schildkraut J.M., Moysich K.B., Amos C.I., Brennan P., McKay J., Amundadottir L.T., Jacobs E.J., Klein A.P., Petersen G.M., Risch H.A., Stolzenberg-Solomon R.Z., Wolpin B.M., Li D., Eeles R.A., Haiman C.A., Kote-Jarai Z., Schumacher F.R., Al Olama A.A., Purdue M.P., Scelo G., Dalgaard M.D., Greene M.H., Grotmol T., Kanetsky P.A., McGlynn K.A., Nathanson K.L., Turnbull C., Wiklund F., Chanock S.J., Chatterjee N., Garcia-Closas M., Zhang Y.D., Hurson A.N., Zhang H., Houlston R., Choudhury P.P., Easton D.F., Milne R.L., Simard J., Hall P., Michailidou K., Dennis J., Schmidt M.K., Chang-Claude J., Gharahkhani P., Whiteman D., O'Mara T.A., Spurdle A.B., Thompson D.J., Tomlinson I., De Vivo I., Campbell P.T., Hoffmeister M., Jenkins M., Peters U., Hsu L., Gruber S.B., Casey G., Schmit S.L., Landi M.T., Law M.H., Iles M.M., Demenais F., Kumar R., MacGregor S., Bishop D.T., Ward S.V., Bondy M.L., Wiencke J.K., Melin B., Barnholtz-Sloan J., Kinnersley B., Wrensch M.R., Hung R.J., Caporaso N.E., Berndt S.I., Birmann B.M., Camp N.J., Kraft P., Rothman N., Slager S.L., Berchuck A., Pharoah P.D.P., Sellers T.A., Gayther S.A., Pearce C.L., Goode E.L., Schildkraut J.M., Moysich K.B., Amos C.I., Brennan P., McKay J., Amundadottir L.T., Jacobs E.J., Klein A.P., Petersen G.M., Risch H.A., Stolzenberg-Solomon R.Z., Wolpin B.M., Li D., Eeles R.A., Haiman C.A., Kote-Jarai Z., Schumacher F.R., Al Olama A.A., Purdue M.P., Scelo G., Dalgaard M.D., Greene M.H., Grotmol T., Kanetsky P.A., McGlynn K.A., Nathanson K.L., Turnbull C., Wiklund F., Chanock S.J., Chatterjee N., Garcia-Closas M., Zhang Y.D., Hurson A.N., and Zhang H.

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.Copyright © 2020, This is a U.S. government work and not under copyright protection in the U.S.; foreign copyright protection may apply.

Published
2020

17. 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, M. M., Law, Matthew H., Brown, Kevin M., Agee, Michelle, Alipanahi, Babak, Auton, Adam, Bell, Robert K., Bryc, Katarzyna, Elson, Sarah L., Fontanillas, Pierre, Furlotte, Nicholas A., Hinds, David A., Huber, Karen E., Kleinman, Aaron, Litterman, Nadia K., McCreight, Jennifer C., McIntyre, Matthew H., Mountain, Joanna L., Noblin, Elizabeth S., Northover, Carrie A.M., Pitts, Steven J., Sathirapongsasuti, J. Fah, Sazonova, Olga V., Shelton, Janie F., Shringarpure, Suyash, Tian, Chao, Tung, Joyce Y., Vacic, Vladimir, Wilson, Catherine H., Bishop, D. T., Lee, J. E., Brossard, M., Martin, N. G., Moses, E. K., Song, F., Barrett, J. H., Kumar, R., Easton, D. F., Pharoah, P. D., Swerdlow, A. J., Kypreou, K. P., Taylor, J. C., Harland, M., Randerson-Moor, J., Akslen, L. A., Andresen, P. A., Avril, M. F., Azizi, E., Scarrà, G. B., Brown, K. M., Debniak, T., Duffy, D. L., Elder, D. E., Fang, S., Friedman, E., Galan, P., Ghiorzo, P., Gillanders, E. M., Goldstein, A. M., Gruis, N. A., Hansson, J., Helsing, P., Hočevar, M., Höiom, V., Ingvar, C., Kanetsky, P. A., Chen, W. V., Landi, M. T., Lang, J., Lathrop, G. M., Lubiński, J., Mackie, R. M., Mann, G. J., Molven, A., Montgomery, G. W., Novaković, S., Olsson, H., Puig, S., Puig-Butille, J. A., Wu, W., Qureshi, A. A., Radford-Smith, G. L., van der Stoep, N., van Doorn, R., Whiteman, D. C., Craig, J. E., Schadendorf, E., Simms, L. A., Burdon, K. P., Nyholt, D. R., Pooley, K. A., Orr, N., Stratigos, A. J., Cust, A. E., Ward, S. V., Hayward, N. K., Han, J., Schulze, H. J., Dunning, A. M., Bishop, J. A., Demenais, F., Amos, C. I., MacGregor, S., Cruchaga, Carlos, other, and, Dube, Umber, Ibanez, Laura, Budde, John P., Benitez, Bruno A., Davis, Albert A., Harari, Oscar, Iles, M. M., Law, Matthew H., Brown, Kevin M., Agee, Michelle, Alipanahi, Babak, Auton, Adam, Bell, Robert K., Bryc, Katarzyna, Elson, Sarah L., Fontanillas, Pierre, Furlotte, Nicholas A., Hinds, David A., Huber, Karen E., Kleinman, Aaron, Litterman, Nadia K., McCreight, Jennifer C., McIntyre, Matthew H., Mountain, Joanna L., Noblin, Elizabeth S., Northover, Carrie A.M., Pitts, Steven J., Sathirapongsasuti, J. Fah, Sazonova, Olga V., Shelton, Janie F., Shringarpure, Suyash, Tian, Chao, Tung, Joyce Y., Vacic, Vladimir, Wilson, Catherine H., Bishop, D. T., Lee, J. E., Brossard, M., Martin, N. G., Moses, E. K., Song, F., Barrett, J. H., Kumar, R., Easton, D. F., Pharoah, P. D., Swerdlow, A. J., Kypreou, K. P., Taylor, J. C., Harland, M., Randerson-Moor, J., Akslen, L. A., Andresen, P. A., Avril, M. F., Azizi, E., Scarrà, G. B., Brown, K. M., Debniak, T., Duffy, D. L., Elder, D. E., Fang, S., Friedman, E., Galan, P., Ghiorzo, P., Gillanders, E. M., Goldstein, A. M., Gruis, N. A., Hansson, J., Helsing, P., Hočevar, M., Höiom, V., Ingvar, C., Kanetsky, P. A., Chen, W. V., Landi, M. T., Lang, J., Lathrop, G. M., Lubiński, J., Mackie, R. M., Mann, G. J., Molven, A., Montgomery, G. W., Novaković, S., Olsson, H., Puig, S., Puig-Butille, J. A., Wu, W., Qureshi, A. A., Radford-Smith, G. L., van der Stoep, N., van Doorn, R., Whiteman, D. C., Craig, J. E., Schadendorf, E., Simms, L. A., Burdon, K. P., Nyholt, D. R., Pooley, K. A., Orr, N., Stratigos, A. J., Cust, A. E., Ward, S. V., Hayward, N. K., Han, J., Schulze, H. J., Dunning, A. M., Bishop, J. A., Demenais, F., Amos, C. I., MacGregor, S., Cruchaga, Carlos, and other, and

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

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

Author

Zhang, YD, Hurson, AN, Zhang, H, Choudhury, PP, Easton, DF, Milne, RL, Simard, J, Hall, P, Michailidou, K, Dennis, J, Schmidt, MK, Chang-Claude, J, Gharahkhani, P, Whiteman, D, Campbell, PT, Hoffmeister, M, Jenkins, M, Peters, U, Hsu, L, Gruber, SB, Casey, G, Schmit, SL, O'Mara, TA, Spurdle, AB, Thompson, DJ, Tomlinson, I, De Vivo, I, Landi, MT, Law, MH, Iles, MM, Demenais, F, Kumar, R, MacGregor, S, Bishop, DT, Ward, SV, Bondy, ML, Houlston, R, Wiencke, JK, Melin, B, Barnholtz-Sloan, J, Kinnersley, B, Wrensch, MR, Amos, CI, Hung, RJ, Brennan, P, McKay, J, Caporaso, NE, Berndt, SI, Birmann, BM, Camp, NJ, Kraft, P, Rothman, N, Slager, SL, Berchuck, A, Pharoah, PDP, Sellers, TA, Gayther, SA, Pearce, CL, Goode, EL, Schildkraut, JM, Moysich, KB, Amundadottir, LT, Jacobs, EJ, Klein, AP, Petersen, GM, Risch, HA, Stolzenberg-Solomon, RZ, Wolpin, BM, Li, D, Eeles, RA, Haiman, CA, Kote-Jarai, Z, Schumacher, FR, Al Olama, AA, Purdue, MP, Scelo, G, Dalgaard, MD, Greene, MH, Grotmol, T, Kanetsky, PA, McGlynn, KA, Nathanson, KL, Turnbull, C, Wiklund, F, Chanock, SJ, Chatterjee, N, Garcia-Closas, M, Zhang, YD, Hurson, AN, Zhang, H, Choudhury, PP, Easton, DF, Milne, RL, Simard, J, Hall, P, Michailidou, K, Dennis, J, Schmidt, MK, Chang-Claude, J, Gharahkhani, P, Whiteman, D, Campbell, PT, Hoffmeister, M, Jenkins, M, Peters, U, Hsu, L, Gruber, SB, Casey, G, Schmit, SL, O'Mara, TA, Spurdle, AB, Thompson, DJ, Tomlinson, I, De Vivo, I, Landi, MT, Law, MH, Iles, MM, Demenais, F, Kumar, R, MacGregor, S, Bishop, DT, Ward, SV, Bondy, ML, Houlston, R, Wiencke, JK, Melin, B, Barnholtz-Sloan, J, Kinnersley, B, Wrensch, MR, Amos, CI, Hung, RJ, Brennan, P, McKay, J, Caporaso, NE, Berndt, SI, Birmann, BM, Camp, NJ, Kraft, P, Rothman, N, Slager, SL, Berchuck, A, Pharoah, PDP, Sellers, TA, Gayther, SA, Pearce, CL, Goode, EL, Schildkraut, JM, Moysich, KB, Amundadottir, LT, Jacobs, EJ, Klein, AP, Petersen, GM, Risch, HA, Stolzenberg-Solomon, RZ, Wolpin, BM, Li, D, Eeles, RA, Haiman, CA, Kote-Jarai, Z, Schumacher, FR, Al Olama, AA, Purdue, MP, Scelo, G, Dalgaard, MD, Greene, MH, Grotmol, T, Kanetsky, PA, McGlynn, KA, Nathanson, KL, Turnbull, C, Wiklund, F, Chanock, SJ, Chatterjee, N, and Garcia-Closas, M

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

21. Genome-wide association study of body mass index in 23 000 individuals with and without asthma

Author

Melén, E., Granell, R., Kogevinas, M., Strachan, D., Gonzalez, J. R., Wjst, M., Jarvis, D., Ege, M., Braun-Fahrländer, C., Genuneit, J., Horak, E., Bouzigon, E., Demenais, F., Kauffmann, F., Siroux, V., Michel, S., von Berg, A., Heinzmann, A., Kabesch, M., Probst-Hensch, N. M., Curjuric, I., Imboden, M., Rochat, T., Henderson, J., Sterne, J. A. C., McArdle, W. L., Hui, J., James, A. L., Musk, A. William, Palmer, L. J., Becker, A., Kozyrskyj, A. L., Chan-Young, M., Park, J. E., Leung, A., Daley, D., Freidin, M. B., Deev, I. A., Ogorodova, L. M., Puzyrev, V. P., Celedón, J. C., Brehm, J. M., Cloutier, M. M., Canino, G., Acosta-Pérez, E., Soto-Quiros, M., Avila, L., Bergström, A., Magnusson, J., Söderhäll, C., Kull, I., Scholtens, S., Boezen, H. Marike, Koppelman, G. H., Wijga, A. H., Marenholz, I., Esparza-Gordillo, J., Lau, S., Lee, Y. A., Standl, M., Tiesler, C. M. T., Flexeder, C., Heinrich, J., Myers, R. A., Ober, C., Nicolae, D. L., Farrall, M., Kumar, A., Moffatt, M. F., Cookson, W. O. C. M., and Lasky-Su, J.

Published
2013
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22. Association of MC1R Variants and Host Phenotypes With Melanoma Risk in CDKN2A Mutation Carriers: A GenoMEL Study

Author

Demenais, F., Mohamdi, H., Chaudru, V., Goldstein, A. M., Newton Bishop, J. A., Bishop, D. T., Kanetsky, P. A., Hayward, N. K., Gillanders, E., Elder, D. E., Avril, M. F., Azizi, E., van Belle, P., Bergman, W., Bianchi-Scarrà, G., Bressac-de Paillerets, B., Calista, D., Carrera, C., Hansson, J., Harland, M., Hogg, D., Höiom, V., Holland, E. A., Ingvar, C., Landi, M. T., Lang, J. M., Mackie, R. M., Mann, G. J., Ming, M. E., Njauw, C. J., Olsson, H., Palmer, J., Pastorino, L., Puig, S., Randerson-Moor, J., Stark, M., Tsao, H., Tucker, M. A., van der Velden, P., Yang, X. R., and Gruis, N.

Published
2010
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24. Overlapping genetic architecture between Parkinson disease and melanoma

Author

Dube, U., Ibanez, L., Budde, J. P., Benitez, B. A., Davis, A. A., Harari, O., Iles, M. M., Law, M. H., Brown, K. M., Agee, M., Alipanahi, B., Auton, A., Bell, R. K., Bryc, K., Elson, S. L., Fontanillas, P., Furlotte, N. A., Hinds, D. A., Huber, K. E., Kleinman, A., Litterman, N. K., Mccreight, J. C., Mcintyre, M. H., Mountain, J. L., Noblin, E. S., Northover, C. A. M., Pitts, S. J., Sathirapongsasuti, J. F., Sazonova, O. V., Shelton, J. F., Shringarpure, S., Tian, C., Tung, J. Y., Vacic, V., Wilson, C. H., Bishop, D. T., Lee, J. E., Brossard, M., Martin, N. G., Moses, E. K., Song, F., Barrett, J. H., Kumar, R., Easton, D. F., Pharoah, P. D., Swerdlow, A. J., Kypreou, K. P., Taylor, J. C., Harland, M., Randerson-Moor, J., Akslen, L. A., Andresen, P. A., Avril, M. F., Azizi, E., Scarra, G. B., Debniak, T., Duffy, D. L., Elder, D. E., Fang, S., Friedman, E., Galan, P., Ghiorzo, P., Gillanders, E. M., Goldstein, A. M., Gruis, N. A., Hansson, J., Helsing, P., Hocevar, M., Hoiom, V., Ingvar, C., Kanetsky, P. A., Chen, W. V., Landi, M. T., Lang, J., Lathrop, G. M., Lubinski, J., Mackie, R. M., Mann, G. J., Molven, A., Montgomery, G. W., Novakovic, S., Olsson, H., Puig, S., Puig-Butille, J. A., Wu, W., Qureshi, A. A., Radford-Smith, G. L., van der Stoep, N., van Doorn, R., Whiteman, D. C., Craig, J. E., Schadendorf, E., Simms, L. A., Burdon, K. P., Nyholt, D. R., Pooley, K. A., Orr, N., Stratigos, A. J., Cust, A. E., Ward, S. V., Hayward, N. K., Han, J., Schulze, H. J., Dunning, A. M., Bishop, J. A., Demenais, F., Amos, C. I., Macgregor, S., and Cruchaga, C.

Subjects
0301 basic medicine, Oncology, medicine.medical_specialty, Genetic correlation, Multifactorial Inheritance, Skin Neoplasms, Medizin, TWAS, Disease, Melanoma, Parkinson disease, Polygenic, Shared genetic architecture, Pathology and Forensic Medicine, Correlation, 03 medical and health sciences, Cellular and Molecular Neuroscience, 0302 clinical medicine, Internal medicine, Gene expression, Medicine, Humans, Gene, business.industry, Parkinson Disease, medicine.disease, Genetic architecture, 030104 developmental biology, Case-Control Studies, Cutaneous melanoma, Neurology (clinical), business, 030217 neurology & neurosurgery, Genome-Wide Association Study
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 x 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 x 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
2019

25. Massively parallel reporter assays combined with cell-type specific eQTL informed multiple melanoma loci and identified a pleiotropic function of HIV-1 restriction gene, MX2, in melanoma promotion

Author

Choi, J, Zhang, T, Vu, A, Ablain, J, Makowski, MM, Colli, LM, Xu, M, Rothschild, H, Gräwe, C, Kovacs, MA, Brossard, M, Taylor, J, Pasaniuc, B, Chari, R, Chanock, SJ, Hoggart, CJ, Demenais, F, Barrett, JH, Law, MH, Iles, MM, Yu, K, Vermeulen, M, Zon, LI, and Brown, KM

Abstract

Genome-wide association studies (GWAS) have identified ∼20 melanoma susceptibility loci. To identify susceptibility genes and variants simultaneously from multiple GWAS loci, we integrated massively-parallel reporter assays (MPRA) with cell type-specific epigenomic data as well as melanocyte-specific expression quantitative trait loci (eQTL) profiling. Starting from 16 melanoma loci, we selected 832 variants overlapping active regions of chromatin in cells of melanocytic lineage and identified 39 candidate functional variants displaying allelic transcriptional activity by MPRA. For four of these loci, we further identified four colocalizing melanocyte cis-eQTL genes (CTSS, CASP8, MX2, and MAFF) matching the allelic activity of MPRA functional variants. Among these, we further characterized the locus encompassing the HIV-1 restriction gene, MX2, on chromosome band Chr21q22.3 and validated a functional variant, rs398206, among multiple high LD variants. rs398206 mediates allelic transcriptional activity via binding of the transcription factor, YY1. This allelic transcriptional regulation is consistent with a significant cis-eQTL of MX2 in primary human melanocytes, where the melanoma risk-associated A allele of rs398206 is correlated with higher MX2 levels. Melanocyte-specific transgenic expression of human MX2 in a zebrafish model demonstrated accelerated melanoma formation in a BRAFV600E background. Thus, using an efficient scalable approach to streamline GWAS follow-up functional studies, we identified multiple candidate melanoma susceptibility genes and variants, and uncovered a pleiotropic function of MX2 in melanoma susceptibility.

Published
2019

26. Novel pleiotropic risk loci for melanoma and nevus density implicate multiple biological pathways (vol 9, 4774, 2018)

Author

Duffy, D.L., Zhu, G., Li, X., Sanna, M., Iles, M.M., Jacobs, L.C., Evans, D.M., Yazar, S., Beesley, J., Law, M.H., Kraft, P., Visconti, A., Taylor, J.C., Liu, F., Wright, M.J., Henders, A.K., Bowdler, L., Glass, D., Ikram, M.A., Uitterlinden, A.G., Madden, P.A., Heath, A.C., Nelson, E.C., Green, A.C., Chanock, S., Barrett, J.H., Brown, M.A., Hayward, N.K., MacGregor, S., Sturm, R.A., Hewitt, A.W., Kayser, M., Hunter, D.J., Bishop, J.A.N., Spector, T.D., Montgomery, G.W., Mackey, D.A., Smith, G.D., Nijsten, T.E., Bishop, D.T., Bataille, V., Falchi, M., Han, J., Martin, N.G., Lee, J.E., Brossard, M., Moses, E.K., Song, F., Kumar, R., Easton, D.F., Pharoah, P.D.P., Swerdlow, A.J., Kypreou, K.P., Harland, M., Randerson-Moor, J., Akslen, L.A., Andresen, P.A., Avril, M.F., Azizi, E., Scarra, G.B., Brown, K.M., Debniak, T., Elder, D.E., Fang, S.Y., Friedman, E., Galan, P., Ghiorzo, P., Gillanders, E.M., Goldstein, A.M., Gruis, N.A., Hansson, J., Helsing, P., Hocevar, M., Hoiom, V., Ingvar, C., Kanetsky, P.A., Chen, W.V., Landi, M.T., Lang, J., Lathrop, G.M., Lubinski, J., Mackie, R.M., Mann, G.J., Molven, A., Novakovic, S., Olsson, H., Puig, S., Puig-Butille, J.A., Radford-Smith, G.L., Stoep, N. van der, Doorn, R. van, Whiteman, D.C., Craig, J.E., Schadendorf, D., Simms, L.A., Burdon, K.P., Nyholt, D.R., Pooley, K.A., Orr, N., Stratigos, A.J., Cust, A.E., Ward, S.V., Schulze, H.J., Dunning, A.M., Demenais, F., Amos, C.I., and Melanoma GWAS Consortium

Published
2019

27. MC1R variants in childhood and adolescent melanoma: a retrospective pooled analysis of a multicentre cohort

Author

Pellegrini, C. Botta, F. Massi, D. Martorelli, C. Facchetti, F. Gandini, S. Maisonneuve, P. Avril, M.-F. Demenais, F. Bressac-de Paillerets, B. Hoiom, V. Cust, A.E. Anton-Culver, H. Gruber, S.B. Gallagher, R.P. Marrett, L. Zanetti, R. Dwyer, T. Thomas, N.E. Begg, C.B. Berwick, M. Puig, S. Potrony, M. Nagore, E. Ghiorzo, P. Menin, C. Manganoni, A.M. Rodolfo, M. Brugnara, S. Passoni, E. Sekulovic, L.K. Baldini, F. Guida, G. Stratigos, A. Ozdemir, F. Ayala, F. Fernandez-de-Misa, R. Quaglino, P. Ribas, G. Romanini, A. Migliano, E. Stanganelli, I. Kanetsky, P.A. Pizzichetta, M.A. García-Borrón, J.C. Nan, H. Landi, M.T. Little, J. Newton-Bishop, J. Sera, F. Fargnoli, M.C. Raimondi, S. Alaibac, M. Ferrari, A. Valeri, B. Sicher, M. Mangiola, D. Nazzaro, G. Tosti, G. Mazzarol, G. Giudice, G. Ribero, S. Astrua, C. Mazzoni, L. Orlow, I. Mujumdar, U. Hummer, A. Busam, K. Roy, P. Canchola, R. Clas, B. Cotignola, J. Monroe, Y. Armstrong, B. Kricker, A. Litchfield, M. Tucker, P. Stephens, N. Switzer, T. Theis, B. From, L. Chowdhury, N. Vanasse, L. Purdue, M. Northrup, D. Rosso, S. Sacerdote, C. Leighton, N. Gildea, M. Bonner, J. Jeter, J. Klotz, J. Wilcox, H. Weiss, H. Millikan, R. Mattingly, D. Player, J. Tse, C.-K. Rebbeck, T. Walker, A. Panossian, S. Setlow, R. Mohrenweiser, H. Autier, P. Han, J. Caini, S. Hofman, A. Kayser, M. Liu, F. Nijsten, T. Uitterlinden, A.G. Kumar, R. Bishop, T. Elliott, F. Lazovich, D. Polsky, D. Hansson, J. Pastorino, L. Gruis, N.A. Bouwes Bavinck, J.N. Aguilera, P. Badenas, C. Carrera, C. Gimenez-Xavier, P. Malvehy, J. Puig-Butille, J.A. Tell-Marti, G. Blizzard, L. Cochrane, J. Branicki, W. Debniak, T. Morling, N. Johansen, P. Mayne, S. Bale, A. Cartmel, B. Ferrucci, L. Pfeiffer, R. Palmieri, G. Kypreou, K. Bowcock, A. Cornelius, L. Council, M.L. Motokawa, T. Anno, S. Helsing, P. Andresen, P.A. Guida, S. Wong, T.H. IMI Study Group GEM Study Group M-SKIP Study Group

Abstract

Background: Germline variants in the melanocortin 1 receptor gene (MC1R) might increase the risk of childhood and adolescent melanoma, but a clear conclusion is challenging because of the low number of studies and cases. We assessed the association of MC1R variants with childhood and adolescent melanoma in a large study comparing the prevalence of MC1R variants in child or adolescent patients with melanoma to that in adult patients with melanoma and in healthy adult controls. Methods: In this retrospective pooled analysis, we used the M-SKIP Project, the Italian Melanoma Intergroup, and other European groups (with participants from Australia, Canada, France, Greece, Italy, the Netherlands, Serbia, Spain, Sweden, Turkey, and the USA) to assemble an international multicentre cohort. We gathered phenotypic and genetic data from children or adolescents diagnosed with sporadic single-primary cutaneous melanoma at age 20 years or younger, adult patients with sporadic single-primary cutaneous melanoma diagnosed at age 35 years or older, and healthy adult individuals as controls. We calculated odds ratios (ORs) for childhood and adolescent melanoma associated with MC1R variants by multivariable logistic regression. Subgroup analysis was done for children aged 18 or younger and 14 years or younger. Findings: We analysed data from 233 young patients, 932 adult patients, and 932 healthy adult controls. Children and adolescents had higher odds of carrying MC1R r variants than did adult patients (OR 1·54, 95% CI 1·02–2·33), including when analysis was restricted to patients aged 18 years or younger (1·80, 1·06–3·07). All investigated variants, except Arg160Trp, tended, to varying degrees, to have higher frequencies in young patients than in adult patients, with significantly higher frequencies found for Val60Leu (OR 1·60, 95% CI 1·05–2·44; p=0·04) and Asp294His (2·15, 1·05–4·40; p=0·04). Compared with those of healthy controls, young patients with melanoma had significantly higher frequencies of any MC1R variants. Interpretation: Our pooled analysis of MC1R genetic data of young patients with melanoma showed that MC1R r variants were more prevalent in childhood and adolescent melanoma than in adult melanoma, especially in patients aged 18 years or younger. Our findings support the role of MC1R in childhood and adolescent melanoma susceptibility, with a potential clinical relevance for developing early melanoma detection and preventive strategies. Funding: SPD-Pilot/Project-Award-2015; AIRC-MFAG-11831. © 2019 Elsevier Ltd

Published
2019

28. Assessing the incremental contribution of common genomic variants to melanoma risk prediction in two population-based studies

Author

Cust, AE, Drummond, M, Kanetsky, PA, Australian Melanoma Family Study Investigators, Leeds case-control study Investigators, Goldstein, AM, Barrett, JH, MacGregor, S, Law, MH, Iles, MM, Bui, M, Hopper, JL, Brossard, M, Demenais, F, Taylor, JC, Hoggart, C, Brown, KM, Landi, MT, Newton-Bishop, JA, Mann, GJ, and Bishop, DT

Abstract

It is unclear to what degree genomic and traditional (phenotypic and environmental) risk factors overlap in their prediction of melanoma risk. We evaluated the incremental contribution of common genomic variants (in pigmentation, nevus and other pathways) and their overlap with traditional risk factors, using data from two population-based case-control studies from Australia (n=1,035) and the UK (n=1,460) that used the same questionnaires. Polygenic risk scores were derived from 21 gene regions associated with melanoma and odds ratios from published meta-analyses. Logistic regression models were adjusted for age, sex, centre and ancestry. Adding the polygenic risk score to a model with traditional risk factors increased the area under receiver operating characteristic curve (AUC) by 2.3% (p=0.003) for Australia and by 2.8% (p=0.002) for Leeds. Gene variants in the pigmentation pathway, particularly MC1R, were responsible for most of the incremental improvement. In a cross-tabulation of polygenic by traditional tertile risk scores, 59% (Australia) and 49% (Leeds) of participants were categorized in the same (concordant) tertile. Of participants with low traditional risk, 9% (Australia) and 21% (Leeds) had high polygenic risk. Testing of genomic variants can identify people who are susceptible to melanoma despite not having a traditional phenotypic risk profile.

Published
2018

30. Méthodes mathématiques pour l'étude des gènes contrôlant des caractères quantitatifs

Author

Goffinet, B, Beckmann, J, Boichard, D, Causse, M, Charcosset, A, Chevalet, C, Christophe, C, Colleau, JJ, Demenais, F, Durel, CE, Elsen, JM, Foulley, JL, Gallais, A, Götz, KU, Hospital, F, Kremer, A, Lorieux, M, Lefort-Buson, M, Le Roy, P, Loisel, P, Mangin, B, Maurice, A, Perrier, X, Pons, O, Rebaï, A, Rodolphe, F, San Cristobal, M, and Khang, J Vu Tien

Published
1994
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33. Comprehensive analysis of CDKN2A (p16 (super INK4A)/p14 (super ARF)) and CDKN2B genes in 53 melanoma index cases considered to be at heightened risk of melanoma

Author

Laud, K., Marian, C., Avril, M.F., Barrois, M., Chompret, A., Goldstein, A.M., Tucker, M.A., Clark, P.A., Peters, G., Chaudru, V., Demenais, F., Spatz, A., Smith, M.W., Lenoir, G.M., and Bressac-de Paillerets, B.

Subjects
Melanoma -- Development and progression, Melanoma -- Genetic aspects, Tumor suppressor genes -- Analysis, Linkage (Genetics) -- Analysis, Genetic susceptibility -- Research, Health
Published
2006

34. Soleil et santé

Author

Tubiana, Maurice, Rouësse, Jacques, Averbeck, D., Basset-Seguin, N., Bernerd, F., Cesarini, J.P., Corbé, Ch., Demenais, F., Dubertret, L., Grob, J.J., Masse, R., Monier, R., Morlière, P., Moustacchi, E., Sancho-Garnier, H., Sage, E., Santus, R., and Sarasin, A.

Published
2004
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35. Novel pleiotropic risk loci for melanoma and nevus density implicate multiple biological pathways (vol 9, 4774, 2018)

Author

Duffy, DL, Zhu, G, Li, X, Sanna, M, Iles, MM, Jacobs, LC, Evans, DM, Yazar, S, Beesley, J, Law, MH, Kraft, P, Visconti, A, Taylor, JC, Liu, F, Wright, MJ, Henders, AK, Bowdler, L, Glass, D, Ikram, MA, Uitterlinden, AG, Madden, PA, Heath, AC, Nelson, EC, Green, AC, Chanock, S, Barrett, JH, Brown, MA, Hayward, NK, MacGregor, S, Sturm, RA, Hewitt, AW, Kayser, M, Hunter, DJ, Bishop, JAN, Spector, TD, Montgomery, GW, Mackey, DA, Smith, GD, Nijsten, TE, Bishop, DT, Bataille, V, Falchi, M, Han, J, Martin, NG, 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, M-F, Azizi, E, Scarra, GB, Brown, KM, Debniak, T, Elder, DE, Fang, S, Friedman, E, Galan, P, Ghiorzo, P, Gillanders, EM, Goldstein, AM, Gruis, NA, Hansson, J, Helsing, P, Hocevar, M, Hoiom, V, Ingvar, C, Kanetsky, PA, Chen, WV, Landi, MT, Lang, J, Lathrop, GM, Lubinski, J, Mackie, RM, Mann, GJ, Molven, A, Novakovic, 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, H-J, Dunning, AM, Demenais, F, Amos, CI, Duffy, DL, Zhu, G, Li, X, Sanna, M, Iles, MM, Jacobs, LC, Evans, DM, Yazar, S, Beesley, J, Law, MH, Kraft, P, Visconti, A, Taylor, JC, Liu, F, Wright, MJ, Henders, AK, Bowdler, L, Glass, D, Ikram, MA, Uitterlinden, AG, Madden, PA, Heath, AC, Nelson, EC, Green, AC, Chanock, S, Barrett, JH, Brown, MA, Hayward, NK, MacGregor, S, Sturm, RA, Hewitt, AW, Kayser, M, Hunter, DJ, Bishop, JAN, Spector, TD, Montgomery, GW, Mackey, DA, Smith, GD, Nijsten, TE, Bishop, DT, Bataille, V, Falchi, M, Han, J, Martin, NG, 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, M-F, Azizi, E, Scarra, GB, Brown, KM, Debniak, T, Elder, DE, Fang, S, Friedman, E, Galan, P, Ghiorzo, P, Gillanders, EM, Goldstein, AM, Gruis, NA, Hansson, J, Helsing, P, Hocevar, M, Hoiom, V, Ingvar, C, Kanetsky, PA, Chen, WV, Landi, MT, Lang, J, Lathrop, GM, Lubinski, J, Mackie, RM, Mann, GJ, Molven, A, Novakovic, 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, H-J, Dunning, AM, Demenais, F, and Amos, CI

Abstract

The original version of this Article contained errors in the spelling of the authors Fan Liu and M. Arfan Ikram, which were incorrectly given as Fan Lui and Arfan M. Ikram. In addition, the original version of this Article also contained errors in the author affiliations which are detailed in the associated Publisher Correction.

Published
2019

37. Genetic analysis of diabetes and insulitis in an interspecific cross of the nonobese diabetic mouse with Mus spretus

Author

Gouyon, B. de, Melanitou, E., Richard, M.F., Requarth, M., Hahn, I.H., Guenet, J.L., Demenais, F., Julier, C., Lathrop, G.M., Boitard, C., and Avner, P.

Subjects
Type 1 diabetes -- Genetic aspects, Chromosome mapping -- Methods, Linkage (Genetics) -- Analysis, Genetic markers -- Usage, Science and technology
Abstract

A mapping strategy was developed to identify genes associated withinsulin-dependent diabetes mellitus in mice. The procedure involved interspecific crosses between nonobese diabetic mice and Mus spretus followed by linkage analysis of the first and second backcross generations of cyclophosphamide-treated mice. Linkage analyses made use of 109 mapped mini- and microsatellite markers covering the entire mouse genome. The results showedthat cyclophosphamide-induced diabetes and insulitis is associated with genes within the major histocompatibility region and chromosome 3, 6 and 15.

Published
1993

40. Méthodes mathématiques pour l'étude des gènes contrôlant des caractères quantitatifs

Author

Perrier X, Maurice A, Mangin B, Loisel P, Le Roy P, Lefort-Buson M, Lorieux M, Kremer A, Hospital F, Götz KU, Gallais A, Foulley JL, Elsen JM, Durel CE, Demenais F, Colleau JJ, Christophe C, Chevalet C, Charcosset A, Causse M, Boichard D, Beckmann J, Goffinet B, Pons O, Rebaï A, Rodolphe F, San Cristobal M, and Khang J

Subjects
Animal culture, SF1-1100, Genetics, QH426-470
Published
1994
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41. 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

42. 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

43. Genome-wide association study in 176,678 Europeans reveals genetic loci for tanning response to sun exposure

Author

Visconti, A, Duffy, DL, Liu, Fan, Zhu, G, Wu, WT, Chen, Y, Hysi, PG, Zeng, CQ, Sanna, M, Iles, MM, Kanetsky, PA, Demenais, F, Hamer, Merel, Uitterlinden, André, Ikram, Arfan, Nijsten, Tamar, Martin, NG, Kayser, Manfred, Spector, TD, Han, JL, Bataille, V, Falchi, M, Genetic Identification, Dermatology, Epidemiology, and Internal Medicine

Subjects
Adult, Male, Neoplasms, Radiation-Induced, Skin Neoplasms, SUSCEPTIBILITY LOCI, Science, Sunburn, Polymorphism, Single Nucleotide, White People, Article, Sex Factors, Risk Factors, MD Multidisciplinary, HAIR, Humans, COLOR, Genetic Predisposition to Disease, Prospective Studies, lcsh:Science, Hair Color, skin and connective tissue diseases, Melanoma, METAANALYSIS, Aged, Suntan, Science & Technology, SKIN-CANCER, IDENTIFICATION, integumentary system, Chromosome Mapping, Middle Aged, Radiation Exposure, United Kingdom, Neoplasm Proteins, Multidisciplinary Sciences, Phenotype, Receptors, Aryl Hydrocarbon, Genetic Loci, Science & Technology - Other Topics, PIGMENTATION, lcsh:Q, Female, SQUAMOUS-CELL CARCINOMA, Carrier Proteins, human activities, TRAITS, Genome-Wide Association Study
Abstract

The skin’s tendency to sunburn rather than tan is a major risk factor for skin cancer. Here we report a large genome-wide association study of ease of skin tanning in 176,678 subjects of European ancestry. We identify significant association with tanning ability at 20 loci. We confirm previously identified associations at six of these loci, and report 14 novel loci, of which ten have never been associated with pigmentation-related phenotypes. Our results also suggest that variants at the AHR/AGR3 locus, previously associated with cutaneous malignant melanoma the underlying mechanism of which is poorly understood, might act on disease risk through modulation of tanning ability., The skin’s tanning response to sun exposure shows great interindividual variability. Here, Visconti et al. perform a genome-wide association study for ease of skin tanning and identify 20 genetic loci, ten of which had not previously been associated with pigmentation-related traits.

Published
2018

44. Genome-wide association study in 176,678 Europeans reveals genetic loci for tanning response to sun exposure

Author

Visconti, A. (Alessia), Duffy, D.L. (David), Liu, F. (Fan), Zhu, G. (Gu), Wu, W. (Wenting), Yan, C. (Chen), Hysi, P.G. (Pirro), Zeng, C. (Changqing), Sanna, M. (Marianna), Iles, M.M. (Mark M.), Kanetsky, P.P. (Peter P.), Demenais, F. (Florence), Hamer, M.A. (Merel), Uitterlinden, A.G. (André), Ikram, M.A. (Arfan), Nijsten, T.E.C. (Tamar), Martin, N.G. (Nicholas), Kayser, M.H. (Manfred), Spector, T.D. (Timothy), Han, J. (Jiali), Bataille, V. (Veronique), Falchi, M. (Mario), Visconti, A. (Alessia), Duffy, D.L. (David), Liu, F. (Fan), Zhu, G. (Gu), Wu, W. (Wenting), Yan, C. (Chen), Hysi, P.G. (Pirro), Zeng, C. (Changqing), Sanna, M. (Marianna), Iles, M.M. (Mark M.), Kanetsky, P.P. (Peter P.), Demenais, F. (Florence), Hamer, M.A. (Merel), Uitterlinden, A.G. (André), Ikram, M.A. (Arfan), Nijsten, T.E.C. (Tamar), Martin, N.G. (Nicholas), Kayser, M.H. (Manfred), Spector, T.D. (Timothy), Han, J. (Jiali), Bataille, V. (Veronique), and Falchi, M. (Mario)

Abstract

The skin's tendency to sunburn rather than tan is a major risk factor for skin cancer. Here we report a large genome-wide association study of ease of skin tanning in 176,678 subjects of European ancestry. We identify significant associat

Published
2018
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45. Germline variation at CDKN2A and associations with nevus phenotypes among members of melanoma families

Author

Taylor, N.J., Mitra, N., Goldstein, A.M., Tucker, M.A., Avil, M.F., Azizi, E., Bergman, W., Bishop, D.T., Bressac-de Paillerets, B., Bruno, W., Calista, D., Cannon-Albright, L.A., Cuellar, F., Cust, A.E., Demenais, F., Elder, D.E., Gerdes, A.M., Ghiorzo, P., Grazziotin, T.C., Hansson, J., Harland, M., Hayward, N.K., Hocevar, M., Hoiom, V., Ingvar, C., Landi, M.T., Landman, G., Larre-Borges, A., Leachman, S.A., Mann, G.J., Nagore, E., Olsson, H., Palmer, J.M., Peric, B., Pjanova, D., Pritchard, A., Puig, S., Stoep, N. van der, Wadt, K.A.W., Whitaker, L., Yang, X.R., Bishop, J.A.N., Gruis, N.A., Kanetsky, P.A., and GenoMEL Study Grp

Subjects
0301 basic medicine, Male, medicine.medical_specialty, Skin Neoplasms, Genotype, DNA Mutational Analysis, Dermatology, Biology, Biochemistry, Article, 03 medical and health sciences, 0302 clinical medicine, Germline mutation, CDKN2A, medicine, Odds Ratio, Nevus, Cyclin-Dependent Kinase Inhibitor p18, Humans, Registries, skin and connective tissue diseases, Molecular Biology, neoplasms, Melanoma, Cyclin-Dependent Kinase Inhibitor p16, Germ-Line Mutation, Genetics, Family Health, Nevus, Pigmented, Cell Biology, Odds ratio, medicine.disease, Atypical nevus, Confidence interval, 030104 developmental biology, Phenotype, 030220 oncology & carcinogenesis, Medical genetics, Female
Abstract

Germline mutations in CDKN2A are frequently identified among melanoma kindreds and are associated with increased atypical nevus counts. However, a clear relationship between pathogenic CDKN2A mutation carriage and other nevus phenotypes including counts of common acquired nevi has not yet been established. Using data from GenoMEL, we investigated the relationships between CDKN2A mutation carriage and 2-mm, 5-mm, and atypical nevus counts among blood-related members of melanoma families. Compared with individuals without a pathogenic mutation, those who carried one had an overall higher prevalence of atypical (odds ratio = 1.64; 95% confidence interval = 1.18–2.28) nevi but not 2-mm nevi (odds ratio = 1.06; 95% confidence interval = 0.92–1.21) or 5-mm nevi (odds ratio = 1.26; 95% confidence interval = 0.94–1.70). Stratification by case status showed more pronounced positive associations among non-case family members, who were nearly three times (odds ratio = 2.91; 95% confidence interval = 1.75–4.82) as likely to exhibit nevus counts at or above the median in all three nevus categories simultaneously when harboring a pathogenic mutation (vs. not harboring one). Our results support the hypothesis that unidentified nevogenic genes are co-inherited with CDKN2A and may influence carcinogenesis.

Published
2017

46. Network-assisted analysis of GWAS data identifies a functionally-relevant gene module for childhood-onset asthma

Author

Liu, Y., Brossard, M., Sarnowski, C., Vaysse, A., Moffatt, M., Margaritte-Jeannin, P., Llinares-López, F., Dizier, M. H., Lathrop, M., Cookson, W., Bouzigon, E., Demenais, F., Wellcome Trust, and National Institute for Health Research

Subjects
Amyloid beta-Protein Precursor, Science, Humans, Medicine, Gene Regulatory Networks, Protein Interaction Maps, Age of Onset, Child, Article, Asthma, Genome-Wide Association Study
Abstract

The number of genetic factors associated with asthma remains limited. To identify new genes with an undetected individual effect but collectively influencing asthma risk, we conducted a network-assisted analysis that integrates outcomes of genome-wide association studies (GWAS) and protein-protein interaction networks. We used two GWAS datasets, each consisting of the results of a meta-analysis of nine childhood-onset asthma GWASs (5,924 and 6,043 subjects, respectively). We developed a novel method to compute gene-level P-values (fastCGP), and proposed a parallel dense-module search and cross-selection strategy to identify an asthma-associated gene module. We identified a module of 91 genes with a significant joint effect on childhood-onset asthma (P

Published
2017
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47. Functional characterization of a multi-cancer risk locus on chr5p15.33 reveals regulation of TERT by ZNF148

Author

Fang, J, Jia, J, Makowski, M, Xu, M, Wang, Z, Zhang, T, Hoskins, Jw, Choi, J, Han, Y, Zhang, M, Thomas, J, Kovacs, M, Collins, I, Dzyadyk, M, Thompson, A, O'Neill, M, Das, S, Lan, Q, Koster, R, Solomon, Rs, Kraft, P, Wolpin, Bm, Jansen, Pwtc, Olson, S, Mcglynn, Ka, Kanetsky, Pa, Chatterjee, N, Barrett, Jh, Dunning, Am, Taylor, Jc, Newton Bishop, Ja, Bishop, Dt, Andresson, T, Petersen, Gm, Amos, Ci, Iles, Mm, Nathanson, Kl, Landi, Mt, Vermeulen, M, Brown, Km, Amundadottir, Lt, Canzian, F, Kooperberg, C, Arslan, Aa, Bracci, Pm, Buring, J, Duell, Ej, Gallinger, S, Jacobs, Ej, Kamineni, A, Van Den Eeden, S, Klein, Ap, Kolonel, Ln, Li, D, Olson, Sh, Risch, Ha, Sesso, Hd, Visvanathan, K, Zheng, W, Albanes, D, Austin, Ma, Boutron Ruault, Mc, Bueno de Mesquita, Hb, Cotterchio, M, Gaziano, Jm, Giovannucci, El, Goggins, M, Gross, M, Hassan, M, Helzlsouer, Kj, Holly, Ea, Hunter, Dj, Jenab, M, Kaaks, R, Key, Tj, Khaw, Kt, Krogh, V, Kurtz, Rc, Lacroix, A, Le Marchand, L, Mannisto, S, Patel, Av, Peeters, Phm, Riboli, E, Shu, Xo, Sund, M, Thornquist, M, Tjønneland, A, Tobias, Gs, Trichopoulos, D, Wactawski Wende, J, Yu, H, Yu, K, Zeleniuch Jacquotte, A, Hoover, R, Hartge, P, Fuchs, C, Chanock, Sj, Stevens, V, Caporaso, Ne, Brennan, P, Mckay, J, Wu, X, Hung, Rj, Mclaughlin, Jr, Bickeboller, H, Risch, A, Wichmann, E, Houlston, R, Mann, G, Hopper, J, Aitken, J, Armstrong, B, Giles, G, Holland, E, Kefford, R, Cust, A, Jenkins, M, Schmid, H, Puig, S, Aguilera, P, Badenas, C, Barreiro, A, Carrera, C, Gabriel, D, Xavier, Pg, Iglesias Garcia, P, Malvehy, J, Mila, M, Pigem, R, Potrony, M, Batille, Ja, Marti, Gt, Hayward, N, Martin, N, Montgomery, G, Duffy, D, Whiteman, D, Gregor, Sm, Calista, D, Landi, G, Minghetti, P, Arcangeli, F, Bertazzi, Pa, Ghiorzo, Paola, Bianchi, Giovanna, Pastorino, Lorenza, Bruno, William, Andreotti, Virginia, Queirolo, P, Spagnolo, Francesco, Mackie, R, Lang, J, Gruis, N, van Nieuwpoort, Fa, Out, C, Bergman, W, Kukutsch, N, Bavinck, Jnb, Bakker, B, van der Stoep, N, Ter Huurne, J, van der Rhee, H, Bekkenk, M, Snels, D, van Praag, M, Brochez, L, Gerritsen, R, Crijns, M, Vasen, H, Janssen, B, Ingvar, C, Olsson, H, Jonsson, G, Borg, A, Harbst, K, Nielsen, K, Zander, As, Molvern, A, Helsing, P, Andresen, Pa, Rootwelt, H, Akslen, La, Bressac de Paillerets, B, Demenais, F, Avril, Mf, Chaudru, V, Jeannin, P, Lesueur, F, Maubec, E, Mohamdi, H, Bossard, M, Vaysse, A, Boitier, F, Caron, O, Caux, F, Dalle, S, Dereure, O, Leroux, D, Martin, L, Mateus, C, Robert, C, Stoppa Lyonnet, D, Thomas, L, Wierzbicka, E, Elder, D, Ming, M, Mitra, N, Debniak, T, Lubinski, J, Hocevar, M, Novakovic, S, Peric, B, Skerl, P, Hansson, J, Hoiom, V, Freidman, E, Azizi, E, Baron Epel, O, Scope, A, Pavlotsky, F, Cohen Manheim, I, Laitman, Y, Harland, M, Randerson Moor, J, Laye, J, Davies, J, Nsengimana, J, O'Shea, S, Chan, M, Gascoyne, J, Tucker, Ma, Goldstein, Am, and Yang, X. r.

Subjects
0301 basic medicine, Male, Lung Neoplasms, Skin Neoplasms, General Physics and Astronomy, Genome-wide association study, VARIANTS, Histones, Skin cancer, RNA, Small Interfering, Melanoma, Telomerase, GeneralLiterature_REFERENCE(e.g.,dictionaries,encyclopedias,glossaries), Pancreas cancer, Regulation of gene expression, Genetics, Zinc finger, Gene knockdown, Multidisciplinary, Proteomics and Chromatin Biology, TRICL Consortium, Chromosome Mapping, GenoMEL Consortium, PANCREATIC-CANCER, Multidisciplinary Sciences, DNA-Binding Proteins, Gene Expression Regulation, Neoplastic, Science & Technology - Other Topics, Chromosomes, Human, Pair 5, Female, Lung cancer, Signal Transduction, SUSCEPTIBILITY LOCI, Science, Locus (genetics), Single-nucleotide polymorphism, PROMOTES GROWTH, Biology, Polymorphism, Single Nucleotide, Article, General Biochemistry, Genetics and Molecular Biology, 03 medical and health sciences, LUNG-CANCER, Testicular Neoplasms, Cell Line, Tumor, MD Multidisciplinary, Humans, Genetic Predisposition to Disease, QUANTITATIVE PROTEOMICS, GENOME-WIDE ASSOCIATION, Gene, PanScan Consortium, Càncer de pell, Càncer de pàncrees, Alleles, Science & Technology, Kirurgi, HUMAN-CELLS, Telomere Homeostasis, Correction, General Chemistry, Molecular biology, TERT-CLPTM1L LOCUS, Telomere, Pancreatic Neoplasms, 030104 developmental biology, Genetic Loci, TELOMERE LENGTH, Càncer de pulmó, Surgery, Genètica, Genome-Wide Association Study, Transcription Factors
Abstract

Genome wide association studies (GWAS) have mapped multiple independent cancer susceptibility loci to chr5p15.33. Here, we show that fine-mapping of pancreatic and testicular cancer GWAS within one of these loci (Region 2 in CLPTM1L) focuses the signal to nine highly correlated SNPs. Of these, rs36115365-C associated with increased pancreatic and testicular but decreased lung cancer and melanoma risk, and exhibited preferred protein-binding and enhanced regulatory activity. Transcriptional gene silencing of this regulatory element repressed TERT expression in an allele-specific manner. Proteomic analysis identifies allele-preferred binding of Zinc finger protein 148 (ZNF148) to rs36115365-C, further supported by binding of purified recombinant ZNF148. Knockdown of ZNF148 results in reduced TERT expression, telomerase activity and telomere length. Our results indicate that the association with chr5p15.33-Region 2 may be explained by rs36115365, a variant influencing TERT expression via ZNF148 in a manner consistent with elevated TERT in carriers of the C allele., Genetic variants at multiple loci of chr5p15.33 have been associated with susceptibility to numerous cancers. Here the authors show that the association of one of these loci may be explained by a variant, rs36115365, influencing telomerase reverse transcriptase (TERT) expression via ZNF148.

Published
2017

48. TheCOL5A3andMMP9genes interact in eczema susceptibility

Author

Margaritte-Jeannin, P., primary, Babron, M.-C., additional, Laprise, C., additional, Lavielle, N., additional, Sarnowski, C., additional, Brossard, M., additional, Moffatt, M., additional, Gagné-Ouellet, V., additional, Etcheto, A., additional, Lathrop, M., additional, Just, J., additional, Cookson, W. O., additional, Bouzigon, E., additional, Demenais, F., additional, and Dizier, M.-H., additional

Published
2017
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50. Functional variation in allelic methylomes underscores a strong genetic contribution and reveals novel epigenetic alterations in the human epigenome

Author

Cheung, W.A., Shao, X., Morin, A., Siroux, V., Kwan, T., Ge, B., Aissi, D., Chen, L, Vasquez, L., Allum, F., Guenard, F., Bouzigon, E., Simon, M.M., Boulier, E., Redensek, A., Watt, S., Datta, A., Clarke, L., Flicek, P., Mead, D., Paul, D.S., Beck, S., Bourque, G., Lathrop, M., Tchernof, A., Vohl, M.C., Demenais, F., Pin, I., Downes, K., Stunnenberg, H., Soranzo, N., Pastinen, T., Grundberg, E., Cheung, W.A., Shao, X., Morin, A., Siroux, V., Kwan, T., Ge, B., Aissi, D., Chen, L, Vasquez, L., Allum, F., Guenard, F., Bouzigon, E., Simon, M.M., Boulier, E., Redensek, A., Watt, S., Datta, A., Clarke, L., Flicek, P., Mead, D., Paul, D.S., Beck, S., Bourque, G., Lathrop, M., Tchernof, A., Vohl, M.C., Demenais, F., Pin, I., Downes, K., Stunnenberg, H., Soranzo, N., Pastinen, T., and Grundberg, E.

Abstract

Contains fulltext : 168851.pdf (publisher's version ) (Open Access)

Published
2017

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