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28 results on '"Bickeboeller H"'

2. A genome-wide association study of the longitudinal course of executive functions

Author

Wendel, B, Papiol, S, Andlauer, TFM, Zimmermann, J, Wiltfang, J, Spitzer, C, Senner, F, Schulte, EC, Schmauss, M, Schaupp, SK, Repple, J, Reininghaus, E, Reimer, J, Reich-Erkelenz, D, Opel, N, Meinert, S, Konrad, C, Kloehn-Saghatolislam, F, Kircher, T, Kalman, JL, Juckel, G, Jansen, A, Jaeger, M, Heilbronner, M, von Hagen, M, Gade, K, Figge, C, Fallgatter, AJ, Dietrich, DE, Dannlowski, U, Comes, AL, Budde, M, Baune, BT, Arolt, V, Anghelescu, I-G, Anderson-Schmidt, H, Adorjan, K, Falkai, P, Schulze, TG, Bickeboeller, H, Heilbronner, U, Wendel, B, Papiol, S, Andlauer, TFM, Zimmermann, J, Wiltfang, J, Spitzer, C, Senner, F, Schulte, EC, Schmauss, M, Schaupp, SK, Repple, J, Reininghaus, E, Reimer, J, Reich-Erkelenz, D, Opel, N, Meinert, S, Konrad, C, Kloehn-Saghatolislam, F, Kircher, T, Kalman, JL, Juckel, G, Jansen, A, Jaeger, M, Heilbronner, M, von Hagen, M, Gade, K, Figge, C, Fallgatter, AJ, Dietrich, DE, Dannlowski, U, Comes, AL, Budde, M, Baune, BT, Arolt, V, Anghelescu, I-G, Anderson-Schmidt, H, Adorjan, K, Falkai, P, Schulze, TG, Bickeboeller, H, and Heilbronner, U

Abstract

Executive functions are metacognitive capabilities that control and coordinate mental processes. In the transdiagnostic PsyCourse Study, comprising patients of the affective-to-psychotic spectrum and controls, we investigated the genetic basis of the time course of two core executive subfunctions: set-shifting (Trail Making Test, part B (TMT-B)) and updating (Verbal Digit Span backwards) in 1338 genotyped individuals. Time course was assessed with four measurement points, each 6 months apart. Compared to the initial assessment, executive performance improved across diagnostic groups. We performed a genome-wide association study to identify single nucleotide polymorphisms (SNPs) associated with performance change over time by testing for SNP-by-time interactions using linear mixed models. We identified nine genome-wide significant SNPs for TMT-B in strong linkage disequilibrium with each other on chromosome 5. These were associated with decreased performance on the continuous TMT-B score across time. Variant rs150547358 had the lowest P value = 7.2 × 10-10 with effect estimate beta = 1.16 (95% c.i.: 1.11, 1.22). Implementing data of the FOR2107 consortium (1795 individuals), we replicated these findings for the SNP rs150547358 (P value = 0.015), analyzing the difference of the two available measurement points two years apart. In the replication study, rs150547358 exhibited a similar effect estimate beta = 0.85 (95% c.i.: 0.74, 0.97). Our study demonstrates that longitudinally measured phenotypes have the potential to unmask novel associations, adding time as a dimension to the effects of genomics.

Published
2021

4. Shared heritability and functional enrichment across six solid cancers

Author

Jiang, X, Finucane, HK, Schumacher, FR, Schmit, SL, Tyrer, JP, Han, Y, Michailidou, K, Lesseur, C, Kuchenbaecker, KB, Dennis, J, Conti, DV, Casey, G, Gaudet, MM, Huyghe, JR, Albanes, D, Aldrich, MC, Andrew, AS, Andrulis, IL, Anton-Culver, H, Antoniou, AC, Antonenkova, NN, Arnold, SM, Aronson, KJ, Arun, BK, Bandera, EV, Barkardottir, RB, Barnes, DR, Batra, J, Beckmann, MW, Benitez, J, Benlloch, S, Berchuck, A, Berndt, SI, Bickeboeller, H, Bien, SA, Blomqvist, C, Boccia, S, Bogdanova, NV, Bojesen, SE, Bolla, MK, Brauch, H, Brenner, H, Brenton, JD, Brook, MN, Brunet, J, Brunnstrom, H, Buchanan, DD, Burwinkel, B, Butzow, R, Cadoni, G, Caldes, T, Caligo, MA, Campbell, I, Campbell, PT, Cancel-Tassin, G, Cannon-Albright, L, Campa, D, Caporaso, N, Carvalho, AL, Chan, AT, Chang-Claude, J, Chanock, SJ, Chen, C, Christiani, DC, Claes, KBM, Claessens, F, Clements, J, Collee, JM, Correa, MC, Couch, FJ, Cox, A, Cunningham, JM, Cybulski, C, Czene, K, Daly, MB, defazio, A, Devilee, P, Diez, O, Gago-Dominguez, M, Donovan, JL, Doerk, T, Duell, EJ, Dunning, AM, Dwek, M, Eccles, DM, Edlund, CK, Edwards, DRV, Ellberg, C, Evans, DG, Fasching, PA, Ferris, RL, Liloglou, T, Figueiredo, JC, Fletcher, O, Fortner, RT, Fostira, F, Franceschi, S, Friedman, E, Gallinger, SJ, Ganz, PA, Garber, J, Garcia-Saenz, JA, Gayther, SA, Giles, GG, Godwin, AK, Goldberg, MS, Goldgar, DE, Goode, EL, Goodman, MT, Goodman, G, Grankvist, K, Greene, MH, Gronberg, H, Gronwald, J, Guenel, P, Hakansson, N, Hall, P, Hamann, U, Hamdy, FC, Hamilton, RJ, Hampe, J, Haugen, A, Heitz, F, Herrero, R, Hillemanns, P, Hoffmeister, M, Hogdall, E, Hong, Y-C, Hopper, JL, Houlston, R, Hulick, PJ, Hunter, DJ, Huntsman, DG, Idos, G, Imyanitov, EN, Ingles, SA, Isaacs, C, Jakubowska, A, James, P, Jenkins, MA, Johansson, M, John, EM, Joshi, AD, Kaneva, R, Karlan, BY, Kelemen, LE, Kuhl, T, Khaw, K-T, Khusnutdinova, E, Kibel, AS, Kiemeney, LA, Kim, J, Kjaer, SK, Knight, JA, Kogevinas, M, Kote-Jarai, Z, Koutros, S, Kristensen, VN, Kupryjanczyk, J, Lacko, M, Lam, S, Lambrechts, D, Landi, MT, Lazarus, P, Le, ND, Lee, E, Lejbkowicz, F, Lenz, H-J, Leslie, G, Lessel, D, Lester, J, Levine, DA, Li, L, Li, CI, Lindblom, A, Lindor, NM, Liu, G, Loupakis, F, Lubinski, J, Maehle, L, Maier, C, Mannermaa, A, Le Marchand, L, Margolin, S, May, T, McGuffog, L, Meindl, A, Middha, P, Miller, A, Milne, RL, MacInnis, RJ, Modugno, F, Montagna, M, Moreno, V, Moysich, KB, Mucci, L, Muir, K, Mulligan, AM, Nathanson, KL, Neal, DE, Ness, AR, Neuhausen, SL, Nevanlinna, H, Newcomb, PA, Newcomb, LF, Nielsen, FC, Nikitina-Zake, L, Nordestgaard, BG, Nussbaum, RL, Offit, K, Olah, E, Al Olama, AA, Olopade, OI, Olshan, AF, Olsson, H, Osorio, A, Pandha, H, Park, JY, Pashayan, N, Parsons, MT, Pejovic, T, Penney, KL, Peters, WHM, Phelan, CM, Phipps, AI, Plaseska-Karanfilska, D, Pring, M, Prokofyeva, D, Radice, P, Stefansson, K, Ramus, SJ, Raskin, L, Rennert, G, Rennert, HS, van Rensburg, EJ, Riggan, MJ, Risch, HA, Risch, A, Roobol, MJ, Rosenstein, BS, Rossing, MA, De Ruyck, K, Saloustros, E, Sandler, DP, Sawyer, EJ, Schabath, MB, Schleutker, J, Schmidt, MK, Setiawan, VW, Shen, H, Siegel, EM, Sieh, W, Singer, CF, Slattery, ML, Sorensen, KD, Southey, MC, Spurdle, AB, Stanford, JL, Stevens, VL, Stintzing, S, Stone, J, Sundfeldt, K, Sutphen, R, Swerdlow, AJ, Tajara, EH, Tangen, CM, Tardon, A, Taylor, JA, Teare, MD, Teixeira, MR, Terry, MB, Terry, KL, Thibodeau, SN, Thomassen, M, Bjorge, L, Tischkowitz, M, Toland, AE, Torres, D, Townsend, PA, Travis, RC, Tung, N, Tworoger, SS, Ulrich, CM, Usmani, N, Vachon, CM, Van Nieuwenhuysen, E, Vega, A, Aguado-Barrera, ME, Wang, Q, Webb, PM, Weinberg, CR, Weinstein, S, Weissler, MC, Weitzel, JN, West, CML, White, E, Whittemore, AS, Wichmann, H-E, Wiklund, F, Winqvist, R, Wolk, A, Woll, P, Woods, M, Wu, AH, Wu, X, Yannoukakos, D, Zheng, W, Zienolddiny, S, Ziogas, A, Zorn, KK, Lane, JM, Saxena, R, Thomas, D, Hung, RJ, Diergaarde, B, Mckay, J, Peters, U, Hsu, L, Garcia-Closas, M, Eeles, RA, Chenevix-Trench, G, Brennan, PJ, Haiman, CA, Simard, J, Easton, DF, Gruber, SB, Pharoah, PDP, Price, AL, Pasaniuc, B, Amos, CI, Kraft, P, Lindstrom, S, Jiang, X, Finucane, HK, Schumacher, FR, Schmit, SL, Tyrer, JP, Han, Y, Michailidou, K, Lesseur, C, Kuchenbaecker, KB, Dennis, J, Conti, DV, Casey, G, Gaudet, MM, Huyghe, JR, Albanes, D, Aldrich, MC, Andrew, AS, Andrulis, IL, Anton-Culver, H, Antoniou, AC, Antonenkova, NN, Arnold, SM, Aronson, KJ, Arun, BK, Bandera, EV, Barkardottir, RB, Barnes, DR, Batra, J, Beckmann, MW, Benitez, J, Benlloch, S, Berchuck, A, Berndt, SI, Bickeboeller, H, Bien, SA, Blomqvist, C, Boccia, S, Bogdanova, NV, Bojesen, SE, Bolla, MK, Brauch, H, Brenner, H, Brenton, JD, Brook, MN, Brunet, J, Brunnstrom, H, Buchanan, DD, Burwinkel, B, Butzow, R, Cadoni, G, Caldes, T, Caligo, MA, Campbell, I, Campbell, PT, Cancel-Tassin, G, Cannon-Albright, L, Campa, D, Caporaso, N, Carvalho, AL, Chan, AT, Chang-Claude, J, Chanock, SJ, Chen, C, Christiani, DC, Claes, KBM, Claessens, F, Clements, J, Collee, JM, Correa, MC, Couch, FJ, Cox, A, Cunningham, JM, Cybulski, C, Czene, K, Daly, MB, defazio, A, Devilee, P, Diez, O, Gago-Dominguez, M, Donovan, JL, Doerk, T, Duell, EJ, Dunning, AM, Dwek, M, Eccles, DM, Edlund, CK, Edwards, DRV, Ellberg, C, Evans, DG, Fasching, PA, Ferris, RL, Liloglou, T, Figueiredo, JC, Fletcher, O, Fortner, RT, Fostira, F, Franceschi, S, Friedman, E, Gallinger, SJ, Ganz, PA, Garber, J, Garcia-Saenz, JA, Gayther, SA, Giles, GG, Godwin, AK, Goldberg, MS, Goldgar, DE, Goode, EL, Goodman, MT, Goodman, G, Grankvist, K, Greene, MH, Gronberg, H, Gronwald, J, Guenel, P, Hakansson, N, Hall, P, Hamann, U, Hamdy, FC, Hamilton, RJ, Hampe, J, Haugen, A, Heitz, F, Herrero, R, Hillemanns, P, Hoffmeister, M, Hogdall, E, Hong, Y-C, Hopper, JL, Houlston, R, Hulick, PJ, Hunter, DJ, Huntsman, DG, Idos, G, Imyanitov, EN, Ingles, SA, Isaacs, C, Jakubowska, A, James, P, Jenkins, MA, Johansson, M, John, EM, Joshi, AD, Kaneva, R, Karlan, BY, Kelemen, LE, Kuhl, T, Khaw, K-T, Khusnutdinova, E, Kibel, AS, Kiemeney, LA, Kim, J, Kjaer, SK, Knight, JA, Kogevinas, M, Kote-Jarai, Z, Koutros, S, Kristensen, VN, Kupryjanczyk, J, Lacko, M, Lam, S, Lambrechts, D, Landi, MT, Lazarus, P, Le, ND, Lee, E, Lejbkowicz, F, Lenz, H-J, Leslie, G, Lessel, D, Lester, J, Levine, DA, Li, L, Li, CI, Lindblom, A, Lindor, NM, Liu, G, Loupakis, F, Lubinski, J, Maehle, L, Maier, C, Mannermaa, A, Le Marchand, L, Margolin, S, May, T, McGuffog, L, Meindl, A, Middha, P, Miller, A, Milne, RL, MacInnis, RJ, Modugno, F, Montagna, M, Moreno, V, Moysich, KB, Mucci, L, Muir, K, Mulligan, AM, Nathanson, KL, Neal, DE, Ness, AR, Neuhausen, SL, Nevanlinna, H, Newcomb, PA, Newcomb, LF, Nielsen, FC, Nikitina-Zake, L, Nordestgaard, BG, Nussbaum, RL, Offit, K, Olah, E, Al Olama, AA, Olopade, OI, Olshan, AF, Olsson, H, Osorio, A, Pandha, H, Park, JY, Pashayan, N, Parsons, MT, Pejovic, T, Penney, KL, Peters, WHM, Phelan, CM, Phipps, AI, Plaseska-Karanfilska, D, Pring, M, Prokofyeva, D, Radice, P, Stefansson, K, Ramus, SJ, Raskin, L, Rennert, G, Rennert, HS, van Rensburg, EJ, Riggan, MJ, Risch, HA, Risch, A, Roobol, MJ, Rosenstein, BS, Rossing, MA, De Ruyck, K, Saloustros, E, Sandler, DP, Sawyer, EJ, Schabath, MB, Schleutker, J, Schmidt, MK, Setiawan, VW, Shen, H, Siegel, EM, Sieh, W, Singer, CF, Slattery, ML, Sorensen, KD, Southey, MC, Spurdle, AB, Stanford, JL, Stevens, VL, Stintzing, S, Stone, J, Sundfeldt, K, Sutphen, R, Swerdlow, AJ, Tajara, EH, Tangen, CM, Tardon, A, Taylor, JA, Teare, MD, Teixeira, MR, Terry, MB, Terry, KL, Thibodeau, SN, Thomassen, M, Bjorge, L, Tischkowitz, M, Toland, AE, Torres, D, Townsend, PA, Travis, RC, Tung, N, Tworoger, SS, Ulrich, CM, Usmani, N, Vachon, CM, Van Nieuwenhuysen, E, Vega, A, Aguado-Barrera, ME, Wang, Q, Webb, PM, Weinberg, CR, Weinstein, S, Weissler, MC, Weitzel, JN, West, CML, White, E, Whittemore, AS, Wichmann, H-E, Wiklund, F, Winqvist, R, Wolk, A, Woll, P, Woods, M, Wu, AH, Wu, X, Yannoukakos, D, Zheng, W, Zienolddiny, S, Ziogas, A, Zorn, KK, Lane, JM, Saxena, R, Thomas, D, Hung, RJ, Diergaarde, B, Mckay, J, Peters, U, Hsu, L, Garcia-Closas, M, Eeles, RA, Chenevix-Trench, G, Brennan, PJ, Haiman, CA, Simard, J, Easton, DF, Gruber, SB, Pharoah, PDP, Price, AL, Pasaniuc, B, Amos, CI, Kraft, P, and Lindstrom, S

Abstract

Quantifying the genetic correlation between cancers can provide important insights into the mechanisms driving cancer etiology. Using genome-wide association study summary statistics across six cancer types based on a total of 296,215 cases and 301,319 controls of European ancestry, here we estimate the pair-wise genetic correlations between breast, colorectal, head/neck, lung, ovary and prostate cancer, and between cancers and 38 other diseases. We observed statistically significant genetic correlations between lung and head/neck cancer (rg = 0.57, p = 4.6 × 10-8), breast and ovarian cancer (rg = 0.24, p = 7 × 10-5), breast and lung cancer (rg = 0.18, p =1.5 × 10-6) and breast and colorectal cancer (rg = 0.15, p = 1.1 × 10-4). We also found that multiple cancers are genetically correlated with non-cancer traits including smoking, psychiatric diseases and metabolic characteristics. Functional enrichment analysis revealed a significant excess contribution of conserved and regulatory regions to cancer heritability. Our comprehensive analysis of cross-cancer heritability suggests that solid tumors arising across tissues share in part a common germline genetic basis.

Published
2019

5. Shared heritability and functional enrichment across six solid cancers

Author

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

Abstract

Quantifying the genetic correlation between cancers can provide important insights into the mechanisms driving cancer etiology. Using genome-wide association study summary statistics across six cancer types based on a total of 296,215 cases and 301,319 controls of European ancestry, here we estimate the pair-wise genetic correlations between breast, colorectal, head/neck, lung, ovary and prostate cancer, and between cancers and 38 other diseases. We observed statistically significant genetic correlations between lung and head/neck cancer (rg = 0.57, p = 4.6 × 10−8), breast and ovarian cancer (rg = 0.24, p = 7 × 10−5), breast and lung cancer (rg = 0.18, p =1.5 × 10−6) and breast and colorectal cancer (rg = 0.15, p = 1.1 × 10−4). We also found that multiple cancers are genetically correlated with non-cancer traits including smoking, psychiatric diseases and metabolic characteristics. Functional enrichment analysis revealed a significant excess contribution of conserved and regulatory regions to cancer heritability. Our comprehensive analysis of cross-cancer heritability suggests that solid tumors arising across tissues share in part a common germline genetic basis.

Published
2019

7. Fine Mapping of Asthma Genes

Author

Wjst, M., Immervoll, T., Loesgen, S., and Bickeboeller, H.

Subjects
Genetic research -- Analysis, Human genetics -- Research, Asthma -- Genetic aspects, Biological sciences
Published
2000

8. Apo(a) gene variation and Lp(a) levels in 15 world populations towards the global picture

Author

Utermann, G., Scholz, M., Delport, R., Ehnholm, C., Geethanjali, F.S., Luthra, K., Kronenberg, F., Lemming, L., Lingenhel, A., Makemaharn, O., Pang, R.W.C., Schmidt, K., Abe, A., Volkova, M., Windegger, M., Ogorelkova, M., Bickeboeller, H., and Kraft, H.G.

Subjects
Human population genetics -- Research, Lipoprotein A -- Genetic aspects, Biological sciences
Published
2000

9. Impact of genomic risk factors on survival after haematopoietic stem cell transplantation for patients with acute leukaemia

Author

Pearce, K. F., Balavarca, Y., Norden, J., Jackson, G., Holler, E., Dressel, R., Greinix, H., Toubert, A., Gluckman, E., Hromadnikova, I., Sedlacek, P., Wolff, D., Holtick, U., Bickeboeller, H., Dickinson, A. M., Pearce, K. F., Balavarca, Y., Norden, J., Jackson, G., Holler, E., Dressel, R., Greinix, H., Toubert, A., Gluckman, E., Hromadnikova, I., Sedlacek, P., Wolff, D., Holtick, U., Bickeboeller, H., and Dickinson, A. M.

Abstract

The EBMT risk score is an established tool successfully used in the prognosis of survival post-HSCT and is applicable for a range of haematological disorders. One of its main advantages is that score generation involves summation of clinical parameters that are available pretransplant. However, the EBMT risk score is recognized as not being optimal. Previous analyses, involving patients with various diagnoses, have shown that non-HLA gene polymorphisms influence outcome after allogeneic HSCT. This study is novel as it focuses only on patients having acute leukaemia (N = 458) and attempts to demonstrate how non-HLA gene polymorphisms can be added to the EBMT risk score in a Cox regression model to improve prognostic ability for overall survival. The results of the study found that three genetic factors improved EBMT risk score. The presence of MAL (rs8177374) allele T in the patient, absence of glucocorticoid receptor haplotype (consisting of rs6198, rs33389 and rs33388) ACT in the patient and absence of heat- shock protein 70-hom (+2437) (rs2227956) allele C in the patient were associated with decreased survival time. When compared to the EBMT risk score, the scores combining EBMT risk score with the genetic factors had an improved correlation with clinical outcome and better separation of risk groups. A bootstrapping technique, involving repeated testing of a model using multiple validation sets, also revealed that the newly proposed model had improved predictive value when compared to the EBMT risk score alone. Results support the view that non-HLA poly-morphisms could be useful for pretransplant clinical assessment and provide evidence that polymorphisms in the recipient genotype may influence incoming donor cells, suppressing the initiation of the graft versus leukaemia effect and reducing survival.

Published
2016

10. Association between Adult Height and Risk of Colorectal, Lung, and Prostate Cancer: Results from Meta-analyses of Prospective Studies and Mendelian Randomization Analyses

Author

Franco, EL, Khankari, NK, Shu, X-O, Wen, W, Kraft, P, Lindstrom, S, Peters, U, Schildkraut, J, Schumacher, F, Bofetta, P, Risch, A, Bickeboeller, H, Amos, CI, Easton, D, Eeles, RA, Gruber, SB, Haiman, CA, Hunter, DJ, Chanock, SJ, Pierce, BL, Zheng, W, Franco, EL, Khankari, NK, Shu, X-O, Wen, W, Kraft, P, Lindstrom, S, Peters, U, Schildkraut, J, Schumacher, F, Bofetta, P, Risch, A, Bickeboeller, H, Amos, CI, Easton, D, Eeles, RA, Gruber, SB, Haiman, CA, Hunter, DJ, Chanock, SJ, Pierce, BL, and Zheng, W

Abstract

BACKGROUND: Observational studies examining associations between adult height and risk of colorectal, prostate, and lung cancers have generated mixed results. We conducted meta-analyses using data from prospective cohort studies and further carried out Mendelian randomization analyses, using height-associated genetic variants identified in a genome-wide association study (GWAS), to evaluate the association of adult height with these cancers. METHODS AND FINDINGS: A systematic review of prospective studies was conducted using the PubMed, Embase, and Web of Science databases. Using meta-analyses, results obtained from 62 studies were summarized for the association of a 10-cm increase in height with cancer risk. Mendelian randomization analyses were conducted using summary statistics obtained for 423 genetic variants identified from a recent GWAS of adult height and from a cancer genetics consortium study of multiple cancers that included 47,800 cases and 81,353 controls. For a 10-cm increase in height, the summary relative risks derived from the meta-analyses of prospective studies were 1.12 (95% CI 1.10, 1.15), 1.07 (95% CI 1.05, 1.10), and 1.06 (95% CI 1.02, 1.11) for colorectal, prostate, and lung cancers, respectively. Mendelian randomization analyses showed increased risks of colorectal (odds ratio [OR] = 1.58, 95% CI 1.14, 2.18) and lung cancer (OR = 1.10, 95% CI 1.00, 1.22) associated with each 10-cm increase in genetically predicted height. No association was observed for prostate cancer (OR = 1.03, 95% CI 0.92, 1.15). Our meta-analysis was limited to published studies. The sample size for the Mendelian randomization analysis of colorectal cancer was relatively small, thus affecting the precision of the point estimate. CONCLUSIONS: Our study provides evidence for a potential causal association of adult height with the risk of colorectal and lung cancers and suggests that certain genetic factors and biological pathways affecting adult height may also affect the

Published
2016

11. Genome-wide meta-analysis reveals common splice site acceptor variant in CHRNA4 associated with nicotine dependence

Author

University of Helsinki, Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Clinicum, Hancock, D. B., Reginsson, G. W., Gaddis, N. C., Chen, X., Saccone, N. L., Lutz, S. M., Qaiser, Beenish, Sherva, R., Steinberg, S., Zink, F., Stacey, S. N., Glasheen, C., Chen, J., Gu, F., Frederiksen, B. N., Loukola, A., Gudbjartsson, D. F., Brueske, I., Landi, M. T., Bickeboeller, H., Madden, P., Farrer, L., Kaprio, J., Kranzler, H. R., Gelernter, J., Baker, T. B., Kraft, P., Amos, C. I., Caporaso, N. E., Hokanson, J. E., Bierut, L. J., Thorgeirsson, T. E., Johnson, E. O., Stefansson, K., University of Helsinki, Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Clinicum, Hancock, D. B., Reginsson, G. W., Gaddis, N. C., Chen, X., Saccone, N. L., Lutz, S. M., Qaiser, Beenish, Sherva, R., Steinberg, S., Zink, F., Stacey, S. N., Glasheen, C., Chen, J., Gu, F., Frederiksen, B. N., Loukola, A., Gudbjartsson, D. F., Brueske, I., Landi, M. T., Bickeboeller, H., Madden, P., Farrer, L., Kaprio, J., Kranzler, H. R., Gelernter, J., Baker, T. B., Kraft, P., Amos, C. I., Caporaso, N. E., Hokanson, J. E., Bierut, L. J., Thorgeirsson, T. E., Johnson, E. O., and Stefansson, K.

Abstract

We conducted a 1000 Genomes-imputed genome-wide association study (GWAS) meta-analysis for nicotine dependence, defined by the Fagerstrom Test for Nicotine Dependence in 17 074 ever smokers from five European-ancestry samples. We followed up novel variants in 7469 ever smokers from five independent European-ancestry samples. We identified genome-wide significant association in the alpha-4 nicotinic receptor subunit (CHRNA4) gene on chromosome 20q13: lowest P = 8.0 x 10(-9) across all the samples for rs2273500-C (frequency = 0.15; odds ratio = 1.12 and 95% confidence interval = 1.08-1.17 for severe vs mild dependence). rs2273500-C, a splice site acceptor variant resulting in an alternate CHRNA4 transcript predicted to be targeted for nonsense-mediated decay, was associated with decreased CHRNA4 expression in physiologically normal human brains (lowest P = 7.3 x 10(-4)). Importantly, rs2273500-C was associated with increased lung cancer risk (N = 28 998, odds ratio = 1.06 and 95% confidence interval = 1.00-1.12), likely through its effect on smoking, as rs2273500-C was no longer associated with lung cancer after adjustment for smoking. Using criteria for smoking behavior that encompass more than the single 'cigarettes per day' item, we identified a common CHRNA4 variant with important regulatory properties that contributes to nicotine dependence and smoking-related consequences.

Published
2015

12. Predicting survival using clinical risk scores and non-HLA immunogenetics

Author

Balavarca, Y., Pearce, K., Norden, J., Collin, M., Jackson, G., Holler, E., Dressel, R., Kolb, H-J, Greinix, H., Socie, G., Toubert, A., Rocha, V., Gluckman, E., Hromadnikova, I., Sedlacek, P., Wolff, D., Holtick, U., Dickinson, A., Bickeboeller, H., Balavarca, Y., Pearce, K., Norden, J., Collin, M., Jackson, G., Holler, E., Dressel, R., Kolb, H-J, Greinix, H., Socie, G., Toubert, A., Rocha, V., Gluckman, E., Hromadnikova, I., Sedlacek, P., Wolff, D., Holtick, U., Dickinson, A., and Bickeboeller, H.

Abstract

Previous studies of non-histocompatibility leukocyte antigen (HLA) gene single-nucleotide polymorphisms (SNPs) on subgroups of patients undergoing allogeneic haematopoietic stem cell transplantation (HSCT) revealed an association with transplant outcome. This study further evaluated the association of non-HLA polymorphisms with overall survival in a cohort of 762 HSCT patients using data on 26 polymorphisms in 16 non-HLA genes. When viewed in addition to an already established clinical risk score (EBMT-score), three polymorphisms: rs8177374 in the gene for MyD88-adapter-like (MAL; P = 0.026), rs9340799 in the oestrogen receptor gene (ESR; P = 0.003) and rs1800795 in interleukin-6 (IL-6; P = 0.007) were found to be associated with reduced overall survival, whereas the haplo-genotype (ACC/ACC) in IL-10 was protective (P = 0.02). The addition of these non-HLA polymorphisms in a Cox regression model alongside the EBMT-score improved discrimination between risk groups and increased the level of prediction compared with the EBMT-score alone (gain in prediction capability for EBMT-genetic-score 10.8%). Results also demonstrated how changes in clinical practice through time have altered the effects of non-HLA analysis. The study illustrates the significance of non-HLA genotyping prior to HSCT and the importance of further investigation into non-HLA gene polymorphisms in risk prediction.

Published
2015

13. Genetic determinants of telomere length and risk of common cancers: a Mendelian randomization study

Author

Zhang, C, Doherty, JA, Burgess, S, Hung, RJ, Lindstroem, S, Kraft, P, Gong, J, Amos, CI, Sellers, TA, Monteiro, ANA, Chenevix-Trench, G, Bickeboeller, H, Risch, A, Brennan, P, Mckay, JD, Houlston, RS, Landi, MT, Timofeeva, MN, Wang, Y, Heinrich, J, Kote-Jarai, Z, Eeles, RA, Muir, K, Wiklund, F, Gronberg, H, Berndt, SI, Chanock, SJ, Schumacher, F, Haiman, CA, Henderson, BE, Al Olama, AA, Andrulis, IL, Hopper, JL, Chang-Claude, J, John, EM, Malone, KE, Gammon, MD, Ursin, G, Whittemore, AS, Hunter, DJ, Gruber, SB, Knight, JA, Hou, L, Le Marchand, L, Newcomb, PA, Hudson, TJ, Chan, AT, Li, L, Woods, MO, Ahsan, H, Pierce, BL, Zhang, C, Doherty, JA, Burgess, S, Hung, RJ, Lindstroem, S, Kraft, P, Gong, J, Amos, CI, Sellers, TA, Monteiro, ANA, Chenevix-Trench, G, Bickeboeller, H, Risch, A, Brennan, P, Mckay, JD, Houlston, RS, Landi, MT, Timofeeva, MN, Wang, Y, Heinrich, J, Kote-Jarai, Z, Eeles, RA, Muir, K, Wiklund, F, Gronberg, H, Berndt, SI, Chanock, SJ, Schumacher, F, Haiman, CA, Henderson, BE, Al Olama, AA, Andrulis, IL, Hopper, JL, Chang-Claude, J, John, EM, Malone, KE, Gammon, MD, Ursin, G, Whittemore, AS, Hunter, DJ, Gruber, SB, Knight, JA, Hou, L, Le Marchand, L, Newcomb, PA, Hudson, TJ, Chan, AT, Li, L, Woods, MO, Ahsan, H, and Pierce, BL

Abstract

Epidemiological studies have reported inconsistent associations between telomere length (TL) and risk for various cancers. These inconsistencies are likely attributable, in part, to biases that arise due to post-diagnostic and post-treatment TL measurement. To avoid such biases, we used a Mendelian randomization approach and estimated associations between nine TL-associated SNPs and risk for five common cancer types (breast, lung, colorectal, ovarian and prostate cancer, including subtypes) using data on 51 725 cases and 62 035 controls. We then used an inverse-variance weighted average of the SNP-specific associations to estimate the association between a genetic score representing long TL and cancer risk. The long TL genetic score was significantly associated with increased risk of lung adenocarcinoma (P = 6.3 × 10(-15)), even after exclusion of a SNP residing in a known lung cancer susceptibility region (TERT-CLPTM1L) P = 6.6 × 10(-6)). Under Mendelian randomization assumptions, the association estimate [odds ratio (OR) = 2.78] is interpreted as the OR for lung adenocarcinoma corresponding to a 1000 bp increase in TL. The weighted TL SNP score was not associated with other cancer types or subtypes. Our finding that genetic determinants of long TL increase lung adenocarcinoma risk avoids issues with reverse causality and residual confounding that arise in observational studies of TL and disease risk. Under Mendelian randomization assumptions, our finding suggests that longer TL increases lung adenocarcinoma risk. However, caution regarding this causal interpretation is warranted in light of the potential issue of pleiotropy, and a more general interpretation is that SNPs influencing telomere biology are also implicated in lung adenocarcinoma risk.

Published
2015

16. Genome-wide meta-analysis reveals common splice site acceptor variant in CHRNA4 associated with nicotine dependence

Author

Hancock, D B, Reginsson, G W, Gaddis, N C, Chen, X, Saccone, N L, Lutz, S M, Qaiser, B, Sherva, R, Steinberg, S, Zink, F, Stacey, S N, Glasheen, C, Chen, J, Gu, F, Frederiksen, B N, Loukola, A, Gudbjartsson, D F, Brüske, I, Landi, M T, Bickeböller, H, Madden, P, Farrer, L, Kaprio, J, Kranzler, H R, Gelernter, J, Baker, T B, Kraft, P, Amos, C I, Caporaso, N E, Hokanson, J E, Bierut, L J, Thorgeirsson, T E, Johnson, E O, and Stefansson, K

Abstract

We conducted a 1000 Genomes–imputed genome-wide association study (GWAS) meta-analysis for nicotine dependence, defined by the Fagerström Test for Nicotine Dependence in 17 074 ever smokers from five European-ancestry samples. We followed up novel variants in 7469 ever smokers from five independent European-ancestry samples. We identified genome-wide significant association in the alpha-4 nicotinic receptor subunit (CHRNA4) gene on chromosome 20q13: lowest P=8.0 × 10−9 across all the samples for rs2273500-C (frequency=0.15; odds ratio=1.12 and 95% confidence interval=1.08–1.17 for severe vs mild dependence). rs2273500-C, a splice site acceptor variant resulting in an alternate CHRNA4 transcript predicted to be targeted for nonsense-mediated decay, was associated with decreased CHRNA4 expression in physiologically normal human brains (lowest P=7.3 × 10−4). Importantly, rs2273500-C was associated with increased lung cancer risk (N=28 998, odds ratio=1.06 and 95% confidence interval=1.00–1.12), likely through its effect on smoking, as rs2273500-C was no longer associated with lung cancer after adjustment for smoking. Using criteria for smoking behavior that encompass more than the single ‘cigarettes per day' item, we identified a common CHRNA4 variant with important regulatory properties that contributes to nicotine dependence and smoking-related consequences.

Published
2015
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21. Early onset lung cancer, cigarette smoking and the SNP309 of the murine double minute-2 (MDM2) gene

Author

Hoeffken Gerd, Haeußinger Karl, Kreymborg Karsten, Groeschel Andreas, Drings Peter, Morr Harald, Degen Maria, Cebulla Mathias, Woelke Gabi, Sybrecht Gerhard, Meese Eckart, Dienemann Hendrik, Klopp Norman, Timofeeva Maria, Illig Thomas, Rosenberger Albert, Sauter Wiebke, Mittelstrass Kirstin, Schmidt Christine, Jilge Bettina, Schmidt Wilhelm, Ko You-Dschun, Taeuscher Dagmar, Chang-Claude Jenny, Wichmann Heinz-Erich, Bickeboeller Heike, and Risch Angela

Subjects
Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282
Abstract

Abstract The polymorphism SNP309 (rs2279744) in the promoter region of the MDM2 gene has been shown to alter protein expression and may play a role in the susceptibility to lung cancer. The MDM2 protein is a key inhibitor of p53 and several mechanisms of MDM2/p53 interactions are presently known: modulating DNA-repair, cell-cycle control, cell growth and apoptosis. We used 635 Caucasian patients diagnosed with lung cancer before 51 years of age and 1300 healthy gender and age frequency matched population Caucasian controls to investigate the association between the MDM2 SNP309 and the risk of developing early onset lung cancer. Conditional logistic models were applied to assess the genotype-phenotype association, adjusted for smoking. Compared to the GG genotype, the adjusted ORs for the TG and TT genotype were 0.9 (95% CI: 0.7–1.5) and 1.0 (95% CI: 0.7–1.5), respectively. Also no association was found for histological subtypes of lung cancer. The strength of this study is that within young cases the genetic component to develop lung cancer may be greater. Our results indicate that the MDM2 SNP309 is not significantly associated with lung carcinogenesis but point towards gender-specific differences.

Published
2008
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22. Deciphering associations between three RNA splicing-related genetic variants and lung cancer risk.

Author

Yang W, Liu H, Zhang R, Freedman JA, Han Y, Hung RJ, Brhane Y, McLaughlin J, Brennan P, Bickeboeller H, Rosenberger A, Houlston RS, Caporaso NE, Landi MT, Brueske I, Risch A, Christiani DC, Amos CI, Chen X, Patierno SR, and Wei Q

Abstract

Limited efforts have been made in assessing the effect of genome-wide profiling of RNA splicing-related variation on lung cancer risk. In the present study, we first identified RNA splicing-related genetic variants linked to lung cancer in a genome-wide profiling analysis and then conducted a two-stage (discovery and replication) association study in populations of European ancestry. Discovery and validation were conducted sequentially with a total of 29,266 cases and 56,450 controls from both the Transdisciplinary Research in Cancer of the Lung and the International Lung Cancer Consortium as well as the OncoArray database. For those variants identified as significant in the two datasets, we further performed stratified analyses by smoking status and histological type and investigated their effects on gene expression and potential regulatory mechanisms. We identified three genetic variants significantly associated with lung cancer risk: rs329118 in JADE2 (P = 8.80E-09), rs2285521 in GGA2 (P = 4.43E-08), and rs198459 in MYRF (P = 1.60E-06). The combined effects of all three SNPs were more evident in lung squamous cell carcinomas (P = 1.81E-08, P = 6.21E-08, and P = 7.93E-04, respectively) than in lung adenocarcinomas and in ever smokers (P = 9.80E-05, P = 2.70E-04, and P = 2.90E-05, respectively) than in never smokers. Gene expression quantitative trait analysis suggested a role for the SNPs in regulating transcriptional expression of the corresponding target genes. In conclusion, we report that three RNA splicing-related genetic variants contribute to lung cancer susceptibility in European populations. However, additional validation is needed, and specific splicing mechanisms of the target genes underlying the observed associations also warrants further exploration., (© 2022. The Author(s).)

Published
2022
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23. Elevated Platelet Count Appears to Be Causally Associated with Increased Risk of Lung Cancer: A Mendelian Randomization Analysis.

Author

Zhu Y, Wei Y, Zhang R, Dong X, Shen S, Zhao Y, Bai J, Albanes D, Caporaso NE, Landi MT, Zhu B, Chanock SJ, Gu F, Lam S, Tsao MS, Shepherd FA, Tardon A, Fernández-Somoano A, Fernandez-Tardon G, Chen C, Barnett MJ, Doherty J, Bojesen SE, Johansson M, Brennan P, McKay JD, Carreras-Torres R, Muley T, Risch A, Wichmann HE, Bickeboeller H, Rosenberger A, Rennert G, Saliba W, Arnold SM, Field JK, Davies MPA, Marcus MW, Wu X, Ye Y, Le Marchand L, Wilkens LR, Melander O, Manjer J, Brunnström H, Hung RJ, Liu G, Brhane Y, Kachuri L, Andrew AS, Duell EJ, Kiemeney LA, van der Heijden EH, Haugen A, Zienolddiny S, Skaug V, Grankvist K, Johansson M, Woll PJ, Cox A, Taylor F, Teare DM, Lazarus P, Schabath MB, Aldrich MC, Houlston RS, McLaughlin J, Stevens VL, Shen H, Hu Z, Dai J, Amos CI, Han Y, Zhu D, Goodman GE, Chen F, and Christiani DC

Subjects
Adenocarcinoma of Lung genetics, Adenocarcinoma of Lung pathology, Biomarkers, Tumor blood, Biomarkers, Tumor genetics, Carcinoma, Non-Small-Cell Lung genetics, Carcinoma, Non-Small-Cell Lung pathology, Carcinoma, Squamous Cell genetics, Carcinoma, Squamous Cell pathology, Case-Control Studies, Genetic Predisposition to Disease, Humans, Lung Neoplasms genetics, Lung Neoplasms pathology, Mendelian Randomization Analysis, Platelet Count, Polymorphism, Single Nucleotide, Prognosis, Risk Factors, Small Cell Lung Carcinoma genetics, Small Cell Lung Carcinoma pathology, Adenocarcinoma of Lung blood, Blood Platelets pathology, Carcinoma, Non-Small-Cell Lung blood, Carcinoma, Squamous Cell blood, Lung Neoplasms blood, Small Cell Lung Carcinoma blood
Abstract

Background: Platelets are a critical element in coagulation and inflammation, and activated platelets are linked to cancer risk through diverse mechanisms. However, a causal relationship between platelets and risk of lung cancer remains unclear., Methods: We performed single and combined multiple instrumental variable Mendelian randomization analysis by an inverse-weighted method, in addition to a series of sensitivity analyses. Summary data for associations between SNPs and platelet count are from a recent publication that included 48,666 Caucasian Europeans, and the International Lung Cancer Consortium and Transdisciplinary Research in Cancer of the Lung data consisting of 29,266 cases and 56,450 controls to analyze associations between candidate SNPs and lung cancer risk., Results: Multiple instrumental variable analysis incorporating six SNPs showed a 62% increased risk of overall non-small cell lung cancer [NSCLC; OR, 1.62; 95% confidence interval (CI), 1.15-2.27; P = 0.005] and a 200% increased risk for small-cell lung cancer (OR, 3.00; 95% CI, 1.27-7.06; P = 0.01). Results showed only a trending association with NSCLC histologic subtypes, which may be due to insufficient sample size and/or weak effect size. A series of sensitivity analysis retained these findings., Conclusions: Our findings suggest a causal relationship between elevated platelet count and increased risk of lung cancer and provide evidence of possible antiplatelet interventions for lung cancer prevention., Impact: These findings provide a better understanding of lung cancer etiology and potential evidence for antiplatelet interventions for lung cancer prevention., (©2019 American Association for Cancer Research.)

Published
2019
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24. Pathway-analysis of published genome-wide association studies of lung cancer: A potential role for the CYP4F3 locus.

Author

Yin J, Liu H, Liu Z, Owzar K, Han Y, Su L, Wei Y, Hung RJ, Brhane Y, McLaughlin J, Brennan P, Bickeboeller H, Rosenberger A, Houlston RS, Caporaso N, Landi MT, Heinrich J, Risch A, Christiani DC, Amos CI, and Wei Q

Subjects
Cytochrome P450 Family 4 metabolism, Fatty Acids genetics, Fatty Acids metabolism, Genetic Loci, Genetic Predisposition to Disease, Genome-Wide Association Study, Genotype, Humans, Lung Neoplasms metabolism, Signal Transduction, Cytochrome P450 Family 4 genetics, Lung Neoplasms genetics, Polymorphism, Single Nucleotide
Abstract

The fatty acids (FAs) metabolism is suggested to play a pivotal role in the development of lung cancer, and we explored that by conducting a pathway-based analysis. We performed a meta-analysis of published datasets of six genome wide association studies (GWASs) from the Transdisciplinary Research in Cancer of the Lung (TRICL) consortium, which included 12 160 cases with lung cancer and 16 838 cancer-free controls. A total of 30 722 single-nucleotide polymorphisms (SNPs) from 317 genes relevant to FA metabolic pathways were identified. An additional dataset from the Harvard Lung Cancer Study with 984 cases and 970 healthy controls was also added to the final meta-analysis. In the initial meta-analysis, 26 of 28 SNPs that passed false discovery rate multiple tests were mapped to the CYP4F3 gene. Among the 26 top ranked hits was a proxy SNP, CYP4F3 rs4646904 (P = 8.65 × 10 -6 , FDR = 0.018), which is suggested to change splicing pattern/efficiency and to be associated with gene expression levels. However, after adding data of rs4646904 from the Harvard GWAS, the significance in the combined analysis was reduced to P = 3.52 × 10 -3 [odds ratio (OR) = 1.07, 95% confidence interval (95%CI) = 1.03-1.12]. Interestingly, the small Harvard dataset also pointed to the same direction of the association in subgroups of smokers (OR = 1.07) and contributed to a combined OR of 1.13 (95% CI = 1.06-1.20, P = 6.70 × 10 -5 ). The results suggest that a potentially functional SNP in CYP4F3 (rs4646904) may contribute to the etiology of lung cancer, especially in smokers. Additional mechanistic studies are warranted to unravel the potential biological significance of the finding., (© 2017 Wiley Periodicals, Inc.)

Published
2017
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25. Genetic variants of PTPN2 are associated with lung cancer risk: a re-analysis of eight GWASs in the TRICL-ILCCO consortium.

Author

Feng Y, Wang Y, Liu H, Liu Z, Mills C, Han Y, Hung RJ, Brhane Y, McLaughlin J, Brennan P, Bickeboeller H, Rosenberger A, Houlston RS, Caporaso NE, Teresa Landi M, Brueske I, Risch A, Ye Y, Wu X, Christiani DC, Amos CI, and Wei Q

Subjects
Genome-Wide Association Study, Humans, Lung Neoplasms genetics, Polymorphism, Single Nucleotide, Protein Tyrosine Phosphatase, Non-Receptor Type 2 genetics
Abstract

The T-cell protein tyrosine phosphatase (TCPTP) pathway consists of signaling events mediated by TCPTP. Mutations and genetic variants of some genes in the TCPTP pathway are associated with lung cancer risk and survival. In the present study, we first investigated associations of 5,162 single nucleotide polymorphisms (SNPs) in 43 genes of this TCPTP pathway with lung cancer risk by using summary data of six published genome-wide association studies (GWAS) of 12,160 cases and 16,838 controls. We identified 11 independent SNPs in eight genes after correction for multiple comparisons by a false discovery rate <0.20. Then, we performed in silico functional analyses for these 11 SNPs by eQTL analysis, two of which, PTPN2 SNPs rs2847297 and rs2847282, were chosen as tagSNPs. We further included two additional GWAS datasets of Harvard University (984 cases and 970 controls) and deCODE (1,319 cases and 26,380 controls), and the overall effects of these two SNPs among all eight GWAS studies remained significant (OR = 0.95, 95% CI = 0.92-0.98, and P = 0.004 for rs2847297; OR = 0.95, 95% CI = 0.92-0.99, and P = 0.009 for rs2847282). In conclusion, the PTPN2 rs2847297 and rs2847282 may be potential susceptible loci for lung cancer risk.

Published
2017
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26. A Novel Genetic Variant in Long Non-coding RNA Gene NEXN-AS1 is Associated with Risk of Lung Cancer.

Author

Yuan H, Liu H, Liu Z, Owzar K, Han Y, Su L, Wei Y, Hung RJ, McLaughlin J, Brhane Y, Brennan P, Bickeboeller H, Rosenberger A, Houlston RS, Caporaso N, Landi MT, Heinrich J, Risch A, Christiani DC, Gümüş ZH, Klein RJ, Amos CI, and Wei Q

Subjects
Female, Genome-Wide Association Study, Humans, Male, Risk Factors, Lung Neoplasms genetics, Nucleic Acid Conformation, Polymorphism, Single Nucleotide, RNA, Long Noncoding genetics
Abstract

Lung cancer etiology is multifactorial, and growing evidence has indicated that long non-coding RNAs (lncRNAs) are important players in lung carcinogenesis. We performed a large-scale meta-analysis of 690,564 SNPs in 15,531 autosomal lncRNAs by using datasets from six previously published genome-wide association studies (GWASs) from the Transdisciplinary Research in Cancer of the Lung (TRICL) consortium in populations of European ancestry. Previously unreported significant SNPs (P value < 1 × 10 -7 ) were further validated in two additional independent lung cancer GWAS datasets from Harvard University and deCODE. In the final meta-analysis of all eight GWAS datasets with 17,153 cases and 239,337 controls, a novel risk SNP rs114020893 in the lncRNA NEXN-AS1 region at 1p31.1 remained statistically significant (odds ratio = 1.17; 95% confidence interval = 1.11-1.24; P = 8.31 × 10 -9 ). In further in silico analysis, rs114020893 was predicted to change the secondary structure of the lncRNA. Our finding indicates that SNP rs114020893 of NEXN-AS1 at 1p31.1 may contribute to lung cancer susceptibility.

Published
2016
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27. Coverage and efficiency in current SNP chips.

Author

Ha NT, Freytag S, and Bickeboeller H

Subjects
Cost-Benefit Analysis, Humans, Oligonucleotide Array Sequence Analysis economics, Racial Groups genetics, Sensitivity and Specificity, Oligonucleotide Array Sequence Analysis standards, Polymorphism, Single Nucleotide
Abstract

To answer the question as to which commercial high-density SNP chip covers most of the human genome given a fixed budget, we compared the performance of 12 chips of different sizes released by Affymetrix and Illumina for the European, Asian, and African populations. These include Affymetrix' relatively new population-optimized arrays, whose SNP sets are each tailored toward a specific ethnicity. Our evaluation of the chips included the use of two measures, efficiency and cost-benefit ratio, which we developed as supplements to genetic coverage. Unlike coverage, these measures factor in the price of a chip or its substitute size (number of SNPs on chip), allowing comparisons to be drawn between differently priced chips. In this fashion, we identified the Affymetrix population-optimized arrays as offering the most cost-effective coverage for the Asian and African population. For the European population, we established the Illumina Human Omni 2.5-8 as the preferred choice. Interestingly, the Affymetrix chip tailored toward an Eastern Asian subpopulation performed well for all three populations investigated. However, our coverage estimates calculated for all chips proved much lower than those advertised by the producers. All our analyses were based on the 1000 Genome Project as reference population.

Published
2014
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28. Early onset lung cancer, cigarette smoking and the SNP309 of the murine double minute-2 (MDM2) gene.

Author

Mittelstrass K, Sauter W, Rosenberger A, Illig T, Timofeeva M, Klopp N, Dienemann H, Meese E, Sybrecht G, Woelke G, Cebulla M, Degen M, Morr H, Drings P, Groeschel A, Kreymborg KG, Haeussinger K, Hoeffken G, Schmidt C, Jilge B, Schmidt W, Ko YD, Taeuscher D, Chang-Claude J, Wichmann HE, Bickeboeller H, and Risch A

Subjects
Adult, Case-Control Studies, Causality, Comorbidity, Female, Humans, Logistic Models, Lung Neoplasms epidemiology, Male, Middle Aged, Oligonucleotide Array Sequence Analysis, Risk Factors, Smoking epidemiology, Genetic Predisposition to Disease, Lung Neoplasms genetics, Polymorphism, Genetic, Proto-Oncogene Proteins c-mdm2 genetics, Smoking genetics
Abstract

The polymorphism SNP309 (rs2279744) in the promoter region of the MDM2 gene has been shown to alter protein expression and may play a role in the susceptibility to lung cancer. The MDM2 protein is a key inhibitor of p53 and several mechanisms of MDM2/p53 interactions are presently known: modulating DNA-repair, cell-cycle control, cell growth and apoptosis.We used 635 Caucasian patients diagnosed with lung cancer before 51 years of age and 1300 healthy gender and age frequency matched population Caucasian controls to investigate the association between the MDM2 SNP309 and the risk of developing early onset lung cancer. Conditional logistic models were applied to assess the genotype-phenotype association, adjusted for smoking. Compared to the GG genotype, the adjusted ORs for the TG and TT genotype were 0.9 (95% CI: 0.7-1.5) and 1.0 (95% CI: 0.7-1.5), respectively. Also no association was found for histological subtypes of lung cancer. The strength of this study is that within young cases the genetic component to develop lung cancer may be greater. Our results indicate that the MDM2 SNP309 is not significantly associated with lung carcinogenesis but point towards gender-specific differences.

Published
2008
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