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1. Association scan of 14,500 nonsynonymous SNPs in four diseases identifies autoimmunity variants

Author

Burton, PR, Clayton, DG, Cardon, LR, Craddock, N, Deloukas, P, Duncanson, A, Kwiatkowski, DP, McCarthy, MI, Ouwehand, WH, Samani, NJ, Todd, JA, Donnelly, P, Barrett, JC, Davison, D, Easton, D, Evans, DM, Leung, HT, Marchini, JL, Morris, AP, Spencer, CC, Tobin, MD, Attwood, AP, Boorman, JP, Cant, B, Everson, U, Hussey, JM, Jolley, JD, Knight, AS, Koch, K, Meech, E, Nutland, S, Prowse, CV, Stevens, HE, Taylor, NC, Walters, GR, Walker, NM, Watkins, NA, Winzer, T, Jones, RW, McArdle, WL, Ring, SM, Strachan, DP, Pembrey, M, Breen, G, St Clair, D, Caesar, S, Gordon-Smith, K, Jones, L, Fraser, C, Green, EK, Grozeva, D, Hamshere, ML, Holmans, PA, Jones, IR, Kirov, G, Moskivina, V, Nikolov, I, O'Donovan, MC, Owen, MJ, Collier, DA, Elkin, A, Farmer, A, Williamson, R, McGuffin, P, Young, AH, Ferrier, IN, Ball, SG, Balmforth, AJ, Barrett, JH, Bishop, TD, Iles, MM, Maqbool, A, Yuldasheva, N, Hall, AS, Braund, PS, Dixon, RJ, Mangino, M, Stevens, S, Thompson, JR, Bredin, F, Tremelling, M, Parkes, M, Drummond, H, Lees, CW, Nimmo, ER, Satsangi, J, Fisher, SA, Forbes, A, Lewis, CM, Onnie, CM, Prescott, NJ, Sanderson, J, Matthew, CG, Barbour, J, Mohiuddin, MK, Todhunter, CE, Mansfield, JC, Ahmad, T, Cummings, FR, Jewell, DP, Webster, J, Brown, MJ, Lathrop, MG, Connell, J, Dominiczak, A, Marcano, CA, Burke, B, Dobson, R, Gungadoo, J, Lee, KL, Munroe, PB, Newhouse, SJ, Onipinla, A, Wallace, C, Xue, M, Caulfield, M, Farrall, M, Barton, A, Bruce, IN, Donovan, H, Eyre, S, Gilbert, PD, Hilder, SL, Hinks, AM, John, SL, Potter, C, Silman, AJ, Symmons, DP, Thomson, W, Worthington, J, Dunger, DB, Widmer, B, Frayling, TM, Freathy, RM, Lango, H, Perry, JR, Shields, BM, Weedon, MN, Hattersley, AT, Hitman, GA, Walker, M, Elliott, KS, Groves, CJ, Lindgren, CM, Rayner, NW, Timpson, NJ, Zeggini, E, Newport, M, Sirugo, G, Lyons, E, Vannberg, F, Hill, AV, Bradbury, LA, Farrar, C, Pointon, JJ, Wordsworth, P, Brown, MA, Franklyn, JA, Heward, JM, Simmonds, MJ, Gough, SC, Seal, S, Stratton, MR, Rahman, N, Ban, M, Goris, A, Sawcer, SJ, Compston, A, Conway, D, Jallow, M, Rockett, KA, Bumpstead, SJ, Chaney, A, Downes, K, Ghori, MJ, Gwilliam, R, Hunt, SE, Inouye, M, Keniry, A, King, E, McGinnis, R, Potter, S, Ravindrarajah, R, Whittaker, P, Widden, C, Withers, D, Cardin, NJ, Ferreira, T, Pereira-Gale, J, Hallgrimsdo'ttir, IB, Howie, BN, Su, Z, Teo, YY, Vukcevic, D, Bentley, D, Mitchell, SL, Newby, PR, Brand, OJ, Carr-Smith, J, Pearce, SH, Reveille, JD, Zhou, X, Sims, AM, Dowling, A, Taylor, J, Doan, T, Davis, JC, Savage, L, Ward, MM, Learch, TL, Weisman, MH, and Brown, M

Subjects
Linkage disequilibrium, Multiple Sclerosis, Genotype, Population, Single-nucleotide polymorphism, Genome-wide association study, Autoimmunity, Breast Neoplasms, Biology, medicine.disease_cause, Aminopeptidases, Polymerase Chain Reaction, Polymorphism, Single Nucleotide, Linkage Disequilibrium, Article, Minor Histocompatibility Antigens, Genetics, medicine, Humans, Spondylitis, Ankylosing, Receptors, Immunologic, education, Genetic association, education.field_of_study, Ankylosing spondylitis, Thyroiditis, Autoimmune, Chromosome Mapping, Receptors, Interleukin, medicine.disease, Endoplasmic reticulum aminopeptidase 2, Genetics, Population, Haplotypes, Case-Control Studies, Immunology, North America
Abstract

We have genotyped 14,436 nonsynonymous SNPs (nsSNPs) and 897 major histocompatibility complex (MHC) tag SNPs from 1,000 independent cases of ankylosing spondylitis (AS), autoimmune thyroid disease (AITD), multiple sclerosis (MS) and breast cancer (BC). Comparing these data against a common control dataset derived from 1,500 randomly selected healthy British individuals, we report initial association and independent replication in a North American sample of two new loci related to ankylosing spondylitis, ARTS1 and IL23R, and confirmation of the previously reported association of AITD with TSHR and FCRL3. These findings, enabled in part by increased statistical power resulting from the expansion of the control reference group to include individuals from the other disease groups, highlight notable new possibilities for autoimmune regulation and suggest that IL23R may be a common susceptibility factor for the major 'seronegative' diseases.

Published
2016

2. Host-microbe interactions have shaped the genetic architecture of inflammatory bowel disease

Author

Jostins, Luke, Ripke, Stephan, Weersma, Rinse K., Duerr, Richard H., Mcgovern, Dermot P., Hui, Ken Y., Lee, James C., Philip Schumm, L., Sharma, Yashoda, Anderson, Carl A., Essers, Jonah, Mitrovic, Mitja, Ning, Kaida, Cleynen, Isabelle, Theatre, Emilie, Spain, Sarah L., Raychaudhuri, Soumya, Goyette, Philippe, Wei, Zhi, Abraham, Clara, Achkar, Jean Paul, Ahmad, Tariq, Amininejad, Leila, Ananthakrishnan, Ashwin N., Andersen, Vibeke, Andrews, Jane M., Baidoo, Leonard, Balschun, Tobias, Bampton, Peter A., Bitton, Alain, Boucher, Gabrielle, Brand, Stephan, Büning, Carsten, Cohain, Ariella, Cichon, Sven, D'Amato, Mauro, De Jong, Dirk, Devaney, Kathy L., Dubinsky, Marla, Edwards, Cathryn, Ellinghaus, David, Ferguson, Lynnette R., Franchimont, Denis, Fransen, Karin, Gearry, Richard, Georges, Michel, Gieger, Christian, Glas, Jürgen, Haritunians, Talin, Hart, Ailsa, Hawkey, Chris, Hedl, Matija, Xinli, Hu, Karlsen, Tom H., Kupcinskas, Limas, Kugathasan, Subra, Latiano, Anna, Laukens, Debby, Lawrance, Ian C., Lees, Charlie W., Louis, Edouard, Mahy, Gillian, Mansfield, John, Morgan, Angharad R., Mowat, Craig, Newman, William, Palmieri, Orazio, Ponsioen, Cyriel Y., Potocnik, Uros, Prescott, Natalie J., Regueiro, Miguel, Rotter, Jerome I., Russell, Richard K., Sanderson, Jeremy D., Sans, Miquel, Satsangi, Jack, Schreiber, Stefan, Simms, Lisa A., Sventoraityte, Jurgita, Targan, Stephan R., Taylor, Kent D., Tremelling, Mark, Verspaget, Hein W., De Vos, Martine, Wijmenga, Cisca, Wilson, David C., Winkelmann, Juliane, Xavier, Ramnik J., Zeissig, Sebastian, Zhang, Bin, Zhang, Clarence K., Zhao, Hongyu, Silverberg, Mark S., Annese, Vito, Hakonarson, Hakon, Brant, Steven R., Radford Smith, Graham, Mathew, Christopher G., Rioux, John D., Schadt, Eric E., Daly, Mark J., Franke, Andre, Parkes, Miles, Vermeire, Severine, Barrett, Jeffrey C., Cho, Judy H., Barclay, M, Peyrin Biroulet, L, Chamaillard, M, Colombel, Jf, Cottone, M, Croft, A, D'Incà, R, Halfvarson J, Hanigan K, Henderson, P, Hugot, Jp, Karban, A, Kennedy, Na, Khan, Ma, Lémann, M, Levine, A, Massey, D, Milla, M, Montgomery, Gw, Ng, Sm, Oikonomou, I, Peeters, H, Proctor, Dd, Rahier, Jf, Roberts, R, Rutgeerts, P, Seibold, F, Stronati, Laura, Taylor, Km, Törkvist, L, Ublick, K, Van Limbergen, J, Van Gossum, A, Vatn, Mh, Zhang, H, Zhang, W, Andrews, Jm, Bampton, Pa, Florin, Th, Gearry, R, Krishnaprasad, K, Lawrance, Ic, Mahy, G, Radford Smith, G, Roberts, Rl, Simms, La, Amininijad, L, Cleynen, I, Dewit, O, Franchimont, D, Georges, M, Laukens, D, Theatre, E, Vermeire, S, Aumais, G, Baidoo, L, Barrie AM 3rd, Beck, K, Bernard, Ej, Binion, Dg, Bitton, A, Brant, Sr, Cho, Jh, Cohen, A, Croitoru, K, Daly, Mj, Datta, Lw, Deslandres, C, Duerr, Rh, Dutridge, D, Ferguson, J, Fultz, J, Goyette, P, Greenberg, Gr, Haritunians, T, Jobin, G, Katz, S, Lahaie, Rg, Mcgovern, Dp, Nelson, L, Ning, K, Paré, P, Regueiro, Md, Rioux, Jd, Ruggiero, E, Schumm, L, Schwartz, M, Scott, R, Sharma, Y, Silverberg, Ms, Spears, D, Steinhart, A, Stempak, Jm, Swoger, Jm, Tsagarelis, C, Zhang, C, Zhao, H, Aerts, J, Ahmad, T, Arbury, H, Attwood, A, Auton, A, Ball, Sg, Balmforth, Aj, Barnes, C, Barrett, Jc, Barroso, I, Barton, A, Bennett, Aj, Bhaskar, S, Blaszczyk, K, Bowes, J, Brand, Oj, Braund, Ps, Bredin, F, Breen, G, Brown, Mj, Bruce, In, Bull, J, Burren, Os, Burton, J, Byrnes, J, Caesar, S, Cardin, N, Clee, Cm, Coffey, Aj, Connell, Jm, Conrad, Df, Cooper, Jd, Dominiczak, Af, Downes, K, Drummond, He, Dudakia, D, Dunham, A, Ebbs, B, Eccles, D, Edkins, S, Edwards, C, Elliot, A, Emery, P, Evans, Dm, Evans, G, Eyre, S, Farmer, A, Ferrier, In, Flynn, E, Forbes, A, Forty, L, Franklyn, Ja, Frayling, Tm, Freathy, Rm, Giannoulatou, E, Gibbs, P, Gilbert, P, Gordon Smith, K, Gray, E, Green, E, Groves, Cj, Grozeva, D, Gwilliam, R, Hall, A, Hammond, N, Hardy, M, Harrison, P, Hassanali, N, Hebaishi, H, Hines, S, Hinks, A, Hitman, Ga, Hocking, L, Holmes, C, Howard, E, Howard, P, Howson, Jm, Hughes, D, Hunt, S, Isaacs, Jd, Jain, M, Jewell, Dp, Johnson, T, Jolley, Jd, Jones, Ir, Jones, La, Kirov, G, Langford, Cf, Lango Allen, H, Lathrop, Gm, Lee, J, Lee, Kl, Lees, C, Lewis, K, Lindgren, Cm, Maisuria Armer, M, Maller, J, Mansfield, J, Marchini, Jl, Martin, P, Massey, Dc, Mcardle, Wl, Mcguffin, P, Mclay, Ke, Mcvean, G, Mentzer, A, Mimmack, Ml, Morgan, Ae, Morris, Ap, Mowat, C, Munroe, Pb, Myers, S, Newman, W, Nimmo, Er, O'Donovan, Mc, Onipinla, A, Ovington, Nr, Owen, Mj, Palin, K, Palotie, A, Parnell, K, Pearson, R, Pernet, D, Perry, Jr, Phillips, A, Plagnol, V, Prescott, Nj, Prokopenko, I, Quail, Ma, Rafelt, S, Rayner, Nw, Reid, Dm, Renwick, A, Ring, Sm, Robertson, N, Robson, S, Russell, E, St Clair, D, Sambrook, Jg, Sanderson, Jd, Sawcer, Sj, Schuilenburg, H, Scott, Ce, Seal, S, Shaw Hawkins, S, Shields, Bm, Simmonds, Mj, Smyth, Dj, Somaskantharajah, E, Spanova, K, Steer, S, Stephens, J, Stevens, He, Stirrups, K, Stone, Ma, Strachan, Dp, Su, Z, Symmons, Dp, Thompson, Jr, Thomson, W, Tobin, Md, Travers, Me, Turnbull, C, Vukcevic, D, Wain, Lv, Walker, M, Walker, Nm, Wallace, C, Warren Perry, M, Watkins, Na, Webster, J, Weedon, Mn, Wilson, Ag, Woodburn, M, Wordsworth, Bp, Yau, C, Young, Ah, Zeggini, E, Brown, Ma, Burton, Pr, Caulfield, Mj, Compston, A, Farrall, M, Gough, Sc, Hall, As, Hattersley, At, Hill, Av, Mathew, Cg, Pembrey, M, Satsangi, J, Stratton, Mr, Worthington, J, Hurles, Me, Duncanson, A, Ouwehand, Wh, Parkes, M, Rahman, N, Todd, Ja, Samani, Nj, Kwiatkowski, Dp, Mccarthy, Mi, Craddock, N, Deloukas, P, Donnelly, P, Blackwell, Jm, Bramon, E, Casas, Jp, Corvin, A, Jankowski, J, Markus, Hs, Palmer, Cn, Plomin, R, Rautanen, A, Trembath, Rc, Viswanathan, Ac, Wood, Nw, Spencer, Cc, Band, G, Bellenguez, C, Freeman, C, Hellenthal, G, Pirinen, M, Strange, A, Blackburn, H, Bumpstead, Sj, Dronov, S, Gillman, M, Jayakumar, A, Mccann, Ot, Liddle, J, Potter, Sc, Ravindrarajah, R, Ricketts, M, Waller, M, Weston, P, Widaa, S, Whittaker, P., AGEM - Amsterdam Gastroenterology Endocrinology Metabolism, Gastroenterology and Hepatology, and Groningen Institute for Gastro Intestinal Genetics and Immunology (3GI)

Subjects
Genome-wide association study, Disease, SUSCEPTIBILITY, Inflammatory bowel disease, NUMBER, 0302 clinical medicine, Crohn Disease, NETWORK, Genetics, 0303 health sciences, Multidisciplinary, Genomics, Ulcerative colitis, 3. Good health, Colitis, Ulcerative, Genetic Predisposition to Disease, Genome, Human, Haplotypes, Humans, Inflammatory Bowel Diseases, Mycobacterium, Mycobacterium Infections, Mycobacterium tuberculosis, Phenotype, Polymorphism, Single Nucleotide, Reproducibility of Results, Genome-Wide Association Study, Host-Pathogen Interactions, IRGM, Medical genetics, 030211 gastroenterology & hepatology, EXPRESSION, medicine.medical_specialty, Immunology, Biology, Molecular gastro-enterology and hepatology Pathogenesis and modulation of inflammation [IGMD 2], TUBERCULOSIS, 03 medical and health sciences, Medical research, medicine, Allele, METAANALYSIS, 030304 developmental biology, HYPER-IGE SYNDROME, MUTATIONS, medicine.disease, RISK LOCI, Genetic architecture, digestive system diseases
Abstract

Crohn's disease and ulcerative colitis, the two common forms of inflammatory bowel disease (IBD), affect over 2.5 million people of European ancestry, with rising prevalence in other populations(1). Genome-wide association studies and subsequent meta-analyses of these two diseases(2,3) as separate phenotypes have implicated previously unsuspected mechanisms, such as autophagy(4), in their pathogenesis and showed that some IBD loci are shared with other inflammatory diseases(5). Here we expand on the knowledge of relevant pathways by undertaking a meta-analysis of Crohn's disease and ulcerative colitis genome-wide association scans, followed by extensive validation of significant findings, with a combined total of more than 75,000 cases and controls. We identify 71 new associations, for a total of 163 IBD loci, that meet genome-wide significance thresholds. Most loci contribute to both phenotypes, and both directional (consistently favouring one allele over the course of human history) and balancing (favouring the retention of both alleles within populations) selection effects are evident. Many IBD loci are also implicated in other immune-mediated disorders, most notably with ankylosing spondylitis and psoriasis. We also observe considerable overlap between susceptibility loci for IBD and mycobacterial infection. Gene co-expression network analysis emphasizes this relationship, with pathways shared between host responses to mycobacteria and those predisposing to IBD.

Published
2012

3. Seven newly identified loci for autoimmune thyroid disease

Author

Cooper, JD, Simmonds, MJ, Walker, NM, Burren, O, Brand, OJ, Guo, H, Wallace, C, Stevens, H, Coleman, G, Franklyn, JA, Todd, JA, Gough, SCL, Cooper, JD, Simmonds, MJ, Walker, NM, Burren, O, Brand, OJ, Guo, H, Wallace, C, Stevens, H, Coleman, G, Franklyn, JA, Todd, JA, and Gough, SCL

Abstract

Autoimmune thyroid disease (AITD), including Graves' disease (GD) and Hashimoto's thyroiditis (HT), is one of the most common of the immune-mediated diseases. To further investigate the genetic determinants of AITD, we conducted an association study using a custom-made single-nucleotide polymorphism (SNP) array, the ImmunoChip. The SNP array contains all known and genotype-able SNPs across 186 distinct susceptibility loci associated with one or more immune-mediated diseases. After stringent quality control, we analysed 103 875 common SNPs (minor allele frequency >0.05) in 2285 GD and 462 HT patients and 9364 controls. We found evidence for seven new AITD risk loci (P < 1.12 × 10(-6); a permutation test derived significance threshold), five at locations previously associated and two at locations awaiting confirmation, with other immune-mediated diseases.

Published
2012

4. Genome-wide association study of CNVs in 16,000 cases of eight common diseases and 3,000 shared controls

Author

Craddock, N, Hurles, ME, Cardin, N, Pearson, RD, Plagnol, V, Robson, S, Vukcevic, D, Barnes, C, Conrad, DF, Giannoulatou, E, Holmes, C, Marchini, JL, Stirrups, K, Tobin, MD, Wain, LV, Yau, C, Aerts, J, Ahmad, T, Andrews, TD, Arbury, H, Attwood, A, Auton, A, Ball, SG, Balmforth, AJ, Barrett, JC, Barroso, I, Barton, A, Bennett, AJ, Bhaskar, S, Blaszczyk, K, Bowes, J, Brand, OJ, Braund, PS, Bredin, F, Breen, G, Brown, MJ, Bruce, IN, Bull, J, Burren, OS, Burton, J, Byrnes, J, Caesar, S, Clee, CM, Coffey, AJ, Connell, JMC, Cooper, JD, Dominiczak, AF, Downes, K, Drummond, HE, Dudakia, D, Dunham, A, Ebbs, B, Eccles, D, Edkins, S, Edwards, C, Elliot, A, Emery, P, Evans, DM, Evans, G, Eyre, S, Farmer, A, Ferrier, IN, Feuk, L, Fitzgerald, T, Flynn, E, Forbes, A, Forty, L, Franklyn, JA, Freathy, RM, Gibbs, P, Gilbert, P, Gokumen, O, Gordon-Smith, K, Gray, E, Green, E, Groves, CJ, Grozeva, D, Gwilliam, R, Hall, A, Hammond, N, Hardy, M, Harrison, P, Hassanali, N, Hebaishi, H, Hines, S, Hinks, A, Hitman, GA, Hocking, L, Howard, E, Howard, P, Howson, JMM, Hughes, D, Hunt, S, Isaacs, JD, Jain, M, Jewell, DP, Johnson, T, Jolley, JD, Jones, IR, Jones, LA, Kirov, G, Langford, CF, Lango-Allen, H, Lathrop, GM, Lee, J, Lee, KL, Lees, C, Lewis, K, Lindgren, CM, Maisuria-Armer, M, Maller, J, Mansfield, J, Martin, P, Massey, DCO, McArdle, WL, McGuffin, P, McLay, KE, Mentzer, A, Mimmack, ML, Morgan, AE, Morris, AP, Mowat, C, Myers, S, Newman, W, Nimmo, ER, O'Donovan, MC, Onipinla, A, Onyiah, I, Ovington, NR, Owen, MJ, Palin, K, Parnell, K, Pernet, D, Perry, JRB, Phillips, A, Pinto, D, Prescott, NJ, Prokopenko, I, Quail, MA, Rafelt, S, Rayner, NW, Redon, R, Reid, DM, Renwick, A, Ring, SM, Robertson, N, Russell, E, St Clair, D, Sambrook, JG, Sanderson, JD, Schuilenburg, H, Scott, CE, Scott, R, Seal, S, Shaw-Hawkins, S, Shields, BM, Simmonds, MJ, Smyth, DJ, Somaskantharajah, E, Spanova, K, Steer, S, Stephens, J, Stevens, HE, Stone, MA, Su, Z, Symmons, DPM, Thompson, JR, Thomson, W, Travers, ME, Turnbull, C, Valsesia, A, Walker, M, Walker, NM, Wallace, C, Warren-Perry, M, Watkins, NA, Webster, J, Weedon, MN, Wilson, AG, Woodburn, M, Wordsworth, BP, Young, AH, Zeggini, E, Carter, NP, Frayling, TM, Lee, C, McVean, G, Munroe, PB, Palotie, A, Sawcer, SJ, Scherer, SW, Strachan, DP, Tyler-Smith, C, Brown, MA, Burton, PR, Caulfield, MJ, Compston, A, Farrall, M, Gough, SCL, Hall, AS, Hattersley, AT, Hill, AVS, Mathew, CG, Pembrey, M, Satsangi, J, Stratton, MR, Worthington, J, Deloukas, P, Duncanson, A, Kwiatkowski, DP, McCarthy, MI, Ouwehand, WH, Parkes, M, Rahman, N, Todd, JA, Samani, NJ, Donnelly, P, Craddock, N, Hurles, ME, Cardin, N, Pearson, RD, Plagnol, V, Robson, S, Vukcevic, D, Barnes, C, Conrad, DF, Giannoulatou, E, Holmes, C, Marchini, JL, Stirrups, K, Tobin, MD, Wain, LV, Yau, C, Aerts, J, Ahmad, T, Andrews, TD, Arbury, H, Attwood, A, Auton, A, Ball, SG, Balmforth, AJ, Barrett, JC, Barroso, I, Barton, A, Bennett, AJ, Bhaskar, S, Blaszczyk, K, Bowes, J, Brand, OJ, Braund, PS, Bredin, F, Breen, G, Brown, MJ, Bruce, IN, Bull, J, Burren, OS, Burton, J, Byrnes, J, Caesar, S, Clee, CM, Coffey, AJ, Connell, JMC, Cooper, JD, Dominiczak, AF, Downes, K, Drummond, HE, Dudakia, D, Dunham, A, Ebbs, B, Eccles, D, Edkins, S, Edwards, C, Elliot, A, Emery, P, Evans, DM, Evans, G, Eyre, S, Farmer, A, Ferrier, IN, Feuk, L, Fitzgerald, T, Flynn, E, Forbes, A, Forty, L, Franklyn, JA, Freathy, RM, Gibbs, P, Gilbert, P, Gokumen, O, Gordon-Smith, K, Gray, E, Green, E, Groves, CJ, Grozeva, D, Gwilliam, R, Hall, A, Hammond, N, Hardy, M, Harrison, P, Hassanali, N, Hebaishi, H, Hines, S, Hinks, A, Hitman, GA, Hocking, L, Howard, E, Howard, P, Howson, JMM, Hughes, D, Hunt, S, Isaacs, JD, Jain, M, Jewell, DP, Johnson, T, Jolley, JD, Jones, IR, Jones, LA, Kirov, G, Langford, CF, Lango-Allen, H, Lathrop, GM, Lee, J, Lee, KL, Lees, C, Lewis, K, Lindgren, CM, Maisuria-Armer, M, Maller, J, Mansfield, J, Martin, P, Massey, DCO, McArdle, WL, McGuffin, P, McLay, KE, Mentzer, A, Mimmack, ML, Morgan, AE, Morris, AP, Mowat, C, Myers, S, Newman, W, Nimmo, ER, O'Donovan, MC, Onipinla, A, Onyiah, I, Ovington, NR, Owen, MJ, Palin, K, Parnell, K, Pernet, D, Perry, JRB, Phillips, A, Pinto, D, Prescott, NJ, Prokopenko, I, Quail, MA, Rafelt, S, Rayner, NW, Redon, R, Reid, DM, Renwick, A, Ring, SM, Robertson, N, Russell, E, St Clair, D, Sambrook, JG, Sanderson, JD, Schuilenburg, H, Scott, CE, Scott, R, Seal, S, Shaw-Hawkins, S, Shields, BM, Simmonds, MJ, Smyth, DJ, Somaskantharajah, E, Spanova, K, Steer, S, Stephens, J, Stevens, HE, Stone, MA, Su, Z, Symmons, DPM, Thompson, JR, Thomson, W, Travers, ME, Turnbull, C, Valsesia, A, Walker, M, Walker, NM, Wallace, C, Warren-Perry, M, Watkins, NA, Webster, J, Weedon, MN, Wilson, AG, Woodburn, M, Wordsworth, BP, Young, AH, Zeggini, E, Carter, NP, Frayling, TM, Lee, C, McVean, G, Munroe, PB, Palotie, A, Sawcer, SJ, Scherer, SW, Strachan, DP, Tyler-Smith, C, Brown, MA, Burton, PR, Caulfield, MJ, Compston, A, Farrall, M, Gough, SCL, Hall, AS, Hattersley, AT, Hill, AVS, Mathew, CG, Pembrey, M, Satsangi, J, Stratton, MR, Worthington, J, Deloukas, P, Duncanson, A, Kwiatkowski, DP, McCarthy, MI, Ouwehand, WH, Parkes, M, Rahman, N, Todd, JA, Samani, NJ, and Donnelly, P

Abstract

Copy number variants (CNVs) account for a major proportion of human genetic polymorphism and have been predicted to have an important role in genetic susceptibility to common disease. To address this we undertook a large, direct genome-wide study of association between CNVs and eight common human diseases. Using a purpose-designed array we typed approximately 19,000 individuals into distinct copy-number classes at 3,432 polymorphic CNVs, including an estimated approximately 50% of all common CNVs larger than 500 base pairs. We identified several biological artefacts that lead to false-positive associations, including systematic CNV differences between DNAs derived from blood and cell lines. Association testing and follow-up replication analyses confirmed three loci where CNVs were associated with disease-IRGM for Crohn's disease, HLA for Crohn's disease, rheumatoid arthritis and type 1 diabetes, and TSPAN8 for type 2 diabetes-although in each case the locus had previously been identified in single nucleotide polymorphism (SNP)-based studies, reflecting our observation that most common CNVs that are well-typed on our array are well tagged by SNPs and so have been indirectly explored through SNP studies. We conclude that common CNVs that can be typed on existing platforms are unlikely to contribute greatly to the genetic basis of common human diseases.

Published
2010

5. Comparative performances of machine learning methods for classifying Crohn Disease patients using genome-wide genotyping data

Author

Romagnoni, A., Jegou, S., Van Steen, K., Wainrib, G., Hugot, J. -P., Peyrin-Biroulet, L., Chamaillard, M., Colombel, J. -F., Cottone, M., D'Amato, M., D'Inca, R., Halfvarson, J., Henderson, P., Karban, A., Kennedy, N. A., Khan, M. A., Lemann, M., Levine, A., Massey, D., Milla, M., S. M. E., Ng, Oikonomou, I., Peeters, H., Proctor, D. D., Rahier, J. -F., Rutgeerts, P., Seibold, F., Stronati, L., Taylor, K. M., Torkvist, L., Ublick, K., Van Limbergen, J., Van Gossum, A., Vatn, M. H., Zhang, H., Zhang, W., Andrews, J. M., Bampton, P. A., Barclay, M., Florin, T. H., Gearry, R., Krishnaprasad, K., Lawrance, I. C., Mahy, G., Montgomery, G. W., Radford-Smith, G., Roberts, R. L., Simms, L. A., Hanigan, K., Croft, A., Amininijad, L., Cleynen, I., Dewit, O., Franchimont, D., Georges, M., Laukens, D., Theatre, E., Vermeire, S., Aumais, G., Baidoo, L., Barrie, A. M., Beck, K., Bernard, E. -J., Binion, D. G., Bitton, A., Brant, S. R., Cho, J. H., Cohen, A., Croitoru, K., Daly, M. J., Datta, L. W., Deslandres, C., Duerr, R. H., Dutridge, D., Ferguson, J., Fultz, J., Goyette, P., Greenberg, G. R., Haritunians, T., Jobin, G., Katz, S., Lahaie, R. G., Mcgovern, D. P., Nelson, L., S. M., Ng, Ning, K., Pare, P., Regueiro, M. D., Rioux, J. D., Ruggiero, E., Schumm, L. P., Schwartz, M., Scott, R., Sharma, Y., Silverberg, M. S., Spears, D., Steinhart, A. H., Stempak, J. M., Swoger, J. M., Tsagarelis, C., Zhang, C., Zhao, H., Aerts, J., Ahmad, T., Arbury, H., Attwood, A., Auton, A., Ball, S. G., Balmforth, A. J., Barnes, C., Barrett, J. C., Barroso, I., Barton, A., Bennett, A. J., Bhaskar, S., Blaszczyk, K., Bowes, J., Brand, O. J., Braund, P. S., Bredin, F., Breen, G., Brown, M. J., Bruce, I. N., Bull, J., Burren, O. S., Burton, J., Byrnes, J., Caesar, S., Cardin, N., Clee, C. M., Coffey, A. J., MC Connell, J., Conrad, D. F., Cooper, J. D., Dominiczak, A. F., Downes, K., Drummond, H. E., Dudakia, D., Dunham, A., Ebbs, B., Eccles, D., Edkins, S., Edwards, C., Elliot, A., Emery, P., Evans, D. M., Evans, G., Eyre, S., Farmer, A., Ferrier, I. N., Flynn, E., Forbes, A., Forty, L., Franklyn, J. A., Frayling, T. M., Freathy, R. M., Giannoulatou, E., Gibbs, P., Gilbert, P., Gordon-Smith, K., Gray, E., Green, E., Groves, C. J., Grozeva, D., Gwilliam, R., Hall, A., Hammond, N., Hardy, M., Harrison, P., Hassanali, N., Hebaishi, H., Hines, S., Hinks, A., Hitman, G. A., Hocking, L., Holmes, C., Howard, E., Howard, P., Howson, J. M. M., Hughes, D., Hunt, S., Isaacs, J. D., Jain, M., Jewell, D. P., Johnson, T., Jolley, J. D., Jones, I. R., Jones, L. A., Kirov, G., Langford, C. F., Lango-Allen, H., Lathrop, G. M., Lee, J., Lee, K. L., Lees, C., Lewis, K., Lindgren, C. M., Maisuria-Armer, M., Maller, J., Mansfield, J., Marchini, J. L., Martin, P., Massey, D. C., Mcardle, W. L., Mcguffin, P., Mclay, K. E., Mcvean, G., Mentzer, A., Mimmack, M. L., Morgan, A. E., Morris, A. P., Mowat, C., Munroe, P. B., Myers, S., Newman, W., Nimmo, E. R., O'Donovan, M. C., Onipinla, A., Ovington, N. R., Owen, M. J., Palin, K., Palotie, A., Parnell, K., Pearson, R., Pernet, D., Perry, J. R., Phillips, A., Plagnol, V., Prescott, N. J., Prokopenko, I., Quail, M. A., Rafelt, S., Rayner, N. W., Reid, D. M., Renwick, A., Ring, S. M., Robertson, N., Robson, S., Russell, E., Clair, D. S., Sambrook, J. G., Sanderson, J. D., Sawcer, S. J., Schuilenburg, H., Scott, C. E., Seal, S., Shaw-Hawkins, S., Shields, B. M., Simmonds, M. J., Smyth, D. J., Somaskantharajah, E., Spanova, K., Steer, S., Stephens, J., Stevens, H. E., Stirrups, K., Stone, M. A., Strachan, D. P., Su, Z., Symmons, D. P. M., Thompson, J. R., Thomson, W., Tobin, M. D., Travers, M. E., Turnbull, C., Vukcevic, D., Wain, L. V., Walker, M., Walker, N. M., Wallace, C., Warren-Perry, M., Watkins, N. A., Webster, J., Weedon, M. N., Wilson, A. G., Woodburn, M., Wordsworth, B. P., Yau, C., Young, A. H., Zeggini, E., Brown, M. A., Burton, P. R., Caulfield, M. J., Compston, A., Farrall, M., Gough, S. C. L., Hall, A. S., Hattersley, A. T., Hill, A. V. S., Mathew, C. G., Pembrey, M., Satsangi, J., Stratton, M. R., Worthington, J., Hurles, M. E., Duncanson, A., Ouwehand, W. H., Parkes, M., Rahman, N., Todd, J. A., Samani, N. J., Kwiatkowski, D. P., Mccarthy, M. I., Craddock, N., Deloukas, P., Donnelly, P., Blackwell, J. M., Bramon, E., Casas, J. P., Corvin, A., Jankowski, J., Markus, H. S., Palmer, C. N., Plomin, R., Rautanen, A., Trembath, R. C., Viswanathan, A. C., Wood, N. W., Spencer, C. C. A., Band, G., Bellenguez, C., Freeman, C., Hellenthal, G., Pirinen, M., Strange, A., Blackburn, H., Bumpstead, S. J., Dronov, S., Gillman, M., Jayakumar, A., Mccann, O. T., Liddle, J., Potter, S. C., Ravindrarajah, R., Ricketts, M., Waller, M., Weston, P., Widaa, S., Whittaker, P., Romagnoni, A., Jegou, S., Van Steen, K., Wainrib, G., Hugot, J. -P., Peyrin-Biroulet, L., Chamaillard, M., Colombel, J. -F., Cottone, M., D'Amato, M., D'Inca, R., Halfvarson, J., Henderson, P., Karban, A., Kennedy, N. A., Khan, M. A., Lemann, M., Levine, A., Massey, D., Milla, M., Ng, S. M. E., Oikonomou, I., Peeters, H., Proctor, D. D., Rahier, J. -F., Rutgeerts, P., Seibold, F., Stronati, L., Taylor, K. M., Torkvist, L., Ublick, K., Van Limbergen, J., Van Gossum, A., Vatn, M. H., Zhang, H., Zhang, W., Andrews, J. M., Bampton, P. A., Barclay, M., Florin, T. H., Gearry, R., Krishnaprasad, K., Lawrance, I. C., Mahy, G., Montgomery, G. W., Radford-Smith, G., Roberts, R. L., Simms, L. A., Hanigan, K., Croft, A., Amininijad, L., Cleynen, I., Dewit, O., Franchimont, D., Georges, M., Laukens, D., Theatre, E., Vermeire, S., Aumais, G., Baidoo, L., Barrie, A. M., Beck, K., Bernard, E. -J., Binion, D. G., Bitton, A., Brant, S. R., Cho, J. H., Cohen, A., Croitoru, K., Daly, M. J., Datta, L. W., Deslandres, C., Duerr, R. H., Dutridge, D., Ferguson, J., Fultz, J., Goyette, P., Greenberg, G. R., Haritunians, T., Jobin, G., Katz, S., Lahaie, R. G., Mcgovern, D. P., Nelson, L., Ng, S. M., Ning, K., Pare, P., Regueiro, M. D., Rioux, J. D., Ruggiero, E., Schumm, L. P., Schwartz, M., Scott, R., Sharma, Y., Silverberg, M. S., Spears, D., Steinhart, A. H., Stempak, J. M., Swoger, J. M., Tsagarelis, C., Zhang, C., Zhao, H., Aerts, J., Ahmad, T., Arbury, H., Attwood, A., Auton, A., Ball, S. G., Balmforth, A. J., Barnes, C., Barrett, J. C., Barroso, I., Barton, A., Bennett, A. J., Bhaskar, S., Blaszczyk, K., Bowes, J., Brand, O. J., Braund, P. S., Bredin, F., Breen, G., Brown, M. J., Bruce, I. N., Bull, J., Burren, O. S., Burton, J., Byrnes, J., Caesar, S., Cardin, N., Clee, C. M., Coffey, A. J., MC Connell, J., Conrad, D. F., Cooper, J. D., Dominiczak, A. F., Downes, K., Drummond, H. E., Dudakia, D., Dunham, A., Ebbs, B., Eccles, D., Edkins, S., Edwards, C., Elliot, A., Emery, P., Evans, D. M., Evans, G., Eyre, S., Farmer, A., Ferrier, I. N., Flynn, E., Forbes, A., Forty, L., Franklyn, J. A., Frayling, T. M., Freathy, R. M., Giannoulatou, E., Gibbs, P., Gilbert, P., Gordon-Smith, K., Gray, E., Green, E., Groves, C. J., Grozeva, D., Gwilliam, R., Hall, A., Hammond, N., Hardy, M., Harrison, P., Hassanali, N., Hebaishi, H., Hines, S., Hinks, A., Hitman, G. A., Hocking, L., Holmes, C., Howard, E., Howard, P., Howson, J. M. M., Hughes, D., Hunt, S., Isaacs, J. D., Jain, M., Jewell, D. P., Johnson, T., Jolley, J. D., Jones, I. R., Jones, L. A., Kirov, G., Langford, C. F., Lango-Allen, H., Lathrop, G. M., Lee, J., Lee, K. L., Lees, C., Lewis, K., Lindgren, C. M., Maisuria-Armer, M., Maller, J., Mansfield, J., Marchini, J. L., Martin, P., Massey, D. C., Mcardle, W. L., Mcguffin, P., Mclay, K. E., Mcvean, G., Mentzer, A., Mimmack, M. L., Morgan, A. E., Morris, A. P., Mowat, C., Munroe, P. B., Myers, S., Newman, W., Nimmo, E. R., O'Donovan, M. C., Onipinla, A., Ovington, N. R., Owen, M. J., Palin, K., Palotie, A., Parnell, K., Pearson, R., Pernet, D., Perry, J. R., Phillips, A., Plagnol, V., Prescott, N. J., Prokopenko, I., Quail, M. A., Rafelt, S., Rayner, N. W., Reid, D. M., Renwick, A., Ring, S. M., Robertson, N., Robson, S., Russell, E., Clair, D. S., Sambrook, J. G., Sanderson, J. D., Sawcer, S. J., Schuilenburg, H., Scott, C. E., Seal, S., Shaw-Hawkins, S., Shields, B. M., Simmonds, M. J., Smyth, D. J., Somaskantharajah, E., Spanova, K., Steer, S., Stephens, J., Stevens, H. E., Stirrups, K., Stone, M. A., Strachan, D. P., Su, Z., Symmons, D. P. M., Thompson, J. R., Thomson, W., Tobin, M. D., Travers, M. E., Turnbull, C., Vukcevic, D., Wain, L. V., Walker, M., Walker, N. M., Wallace, C., Warren-Perry, M., Watkins, N. A., Webster, J., Weedon, M. N., Wilson, A. G., Woodburn, M., Wordsworth, B. P., Yau, C., Young, A. H., Zeggini, E., Brown, M. A., Burton, P. R., Caulfield, M. J., Compston, A., Farrall, M., Gough, S. C. L., Hall, A. S., Hattersley, A. T., Hill, A. V. S., Mathew, C. G., Pembrey, M., Satsangi, J., Stratton, M. R., Worthington, J., Hurles, M. E., Duncanson, A., Ouwehand, W. H., Parkes, M., Rahman, N., Todd, J. A., Samani, N. J., Kwiatkowski, D. P., Mccarthy, M. I., Craddock, N., Deloukas, P., Donnelly, P., Blackwell, J. M., Bramon, E., Casas, J. P., Corvin, A., Jankowski, J., Markus, H. S., Palmer, C. N., Plomin, R., Rautanen, A., Trembath, R. C., Viswanathan, A. C., Wood, N. W., Spencer, C. C. A., Band, G., Bellenguez, C., Freeman, C., Hellenthal, G., Pirinen, M., Strange, A., Blackburn, H., Bumpstead, S. J., Dronov, S., Gillman, M., Jayakumar, A., Mccann, O. T., Liddle, J., Potter, S. C., Ravindrarajah, R., Ricketts, M., Waller, M., Weston, P., Widaa, S., Whittaker, P., Daly, Mark J. [0000-0002-0949-8752], Apollo - University of Cambridge Repository, Hugot, Jean-Pierre [0000-0002-8446-6056], UCL - SSS/IREC/GAEN - Pôle d'Hépato-gastro-entérologie, UCL - (MGD) Service de gastro-entérologie, Romagnoni, A, Jegou, S, VAN STEEN, Kristel, Wainrib, G, Hugot, JP, Peyrin-Biroulet, L, Chamaillard, M, Colombel, JF, Cottone, M, D'Amato, M, D'Inca, R, Halfvarson, J, Henderson, P, Karban, A, Kennedy, NA, Khan, MA, Lemann, M, Levine, A, Massey, D, Milla, M, Ng, SME, Oikonomou, I, Peeters, H, Proctor, DD, Rahier, JF, Rutgeerts, P, Seibold, F, Stronati, L, Taylor, KM, Torkvist, L, Ublick, K, Van Limbergen, J, Van Gossum, A, Vatn, MH, Zhang, H, Zhang, W, Andrews, JM, Bampton, PA, Barclay, M, Florin, TH, Gearry, R, Krishnaprasad, K, Lawrance, IC, Mahy, G, Montgomery, GW, Radford-Smith, G, Roberts, RL, Simms, LA, Hanigan, K, Croft, A, Amininijad, L, Cleynen, I, Dewit, O, Franchimont, D, Georges, M, Laukens, D, Theatre, E, Vermeire, S, Aumais, G, Baidoo, L, Barrie, AM, Beck, K, Bernard, EJ, Binion, DG, Bitton, A, Brant, SR, Cho, JH, Cohen, A, Croitoru, K, Daly, MJ, Datta, LW, Deslandres, C, Duerr, RH, Dutridge, D, Ferguson, J, Fultz, J, Goyette, P, Greenberg, GR, Haritunians, T, Jobin, G, Katz, S, Lahaie, RG, McGovern, DP, Nelson, L, Ng, SM, Ning, K, Pare, P, Regueiro, MD, Rioux, JD, Ruggiero, E, Schumm, LP, Schwartz, M, Scott, R, Sharma, Y, Silverberg, MS, Spears, D, Steinhart, AH, Stempak, JM, Swoger, JM, Tsagarelis, C, Zhang, C, Zhao, HY, AERTS, Jan, Ahmad, T, Arbury, H, Attwood, A, Auton, A, Ball, SG, Balmforth, AJ, Barnes, C, Barrett, JC, Barroso, I, Barton, A, Bennett, AJ, Bhaskar, S, Blaszczyk, K, Bowes, J, Brand, OJ, Braund, PS, Bredin, F, Breen, G, Brown, MJ, Bruce, IN, Bull, J, Burren, OS, Burton, J, Byrnes, J, Caesar, S, Cardin, N, Clee, CM, Coffey, AJ, Mc Connell, J, Conrad, DF, Cooper, JD, Dominiczak, AF, Downes, K, Drummond, HE, Dudakia, D, Dunham, A, Ebbs, B, Eccles, D, Edkins, S, Edwards, C, Elliot, A, Emery, P, Evans, DM, Evans, G, Eyre, S, Farmer, A, Ferrier, IN, Flynn, E, Forbes, A, Forty, L, Franklyn, JA, Frayling, TM, Freathy, RM, Giannoulatou, E, Gibbs, P, Gilbert, P, Gordon-Smith, K, Gray, E, Green, E, Groves, CJ, Grozeva, D, Gwilliam, R, Hall, A, Hammond, N, Hardy, M, Harrison, P, Hassanali, N, Hebaishi, H, Hines, S, Hinks, A, Hitman, GA, Hocking, L, Holmes, C, Howard, E, Howard, P, Howson, JMM, Hughes, D, Hunt, S, Isaacs, JD, Jain, M, Jewell, DP, Johnson, T, Jolley, JD, Jones, IR, Jones, LA, Kirov, G, Langford, CF, Lango-Allen, H, Lathrop, GM, Lee, J, Lee, KL, Lees, C, Lewis, K, Lindgren, CM, Maisuria-Armer, M, Maller, J, Mansfield, J, Marchini, JL, Martin, P, Massey, DCO, McArdle, WL, McGuffin, P, McLay, KE, McVean, G, Mentzer, A, Mimmack, ML, Morgan, AE, Morris, AP, Mowat, C, Munroe, PB, Myers, S, Newman, W, Nimmo, ER, O'Donovan, MC, Onipinla, A, Ovington, NR, Owen, MJ, Palin, K, Palotie, A, Parnell, K, Pearson, R, Pernet, D, Perry, JRB, Phillips, A, Plagnol, V, Prescott, NJ, Prokopenko, I, Quail, MA, Rafelt, S, Rayner, NW, Reid, DM, Renwick, A, Ring, SM, Robertson, N, Robson, S, Russell, E, St Clair, D, Sambrook, JG, Sanderson, JD, Sawcer, SJ, Schuilenburg, H, Scott, CE, Seal, S, Shaw-Hawkins, S, Shields, BM, Simmonds, MJ, Smyth, DJ, Somaskantharajah, E, Spanova, K, Steer, S, Stephens, J, Stevens, HE, Stirrups, K, Stone, MA, Strachan, DP, Su, Z, Symmons, DPM, Thompson, JR, Thomson, W, Tobin, MD, Travers, ME, Turnbull, C, Vukcevic, D, Wain, LV, Walker, M, Walker, NM, Wallace, C, Warren-Perry, M, Watkins, NA, Webster, J, Weedon, MN, Wilson, AG, Woodburn, M, Wordsworth, BP, Yau, C, Young, AH, Zeggini, E, Brown, MA, Burton, PR, Caulfield, MJ, Compston, A, Farrall, M, Gough, SCL, Hall, AS, Hattersley, AT, Hill, AVS, Mathew, CG, Pembrey, M, Satsangi, J, Stratton, MR, Worthington, J, Hurles, ME, Duncanson, A, Ouwehand, WH, Parkes, M, Rahman, N, Todd, JA, Samani, NJ, Kwiatkowski, DP, McCarthy, MI, Craddock, N, Deloukas, P, Donnelly, P, Blackwell, JM, Bramon, E, Casas, JP, Corvin, A, Jankowski, J, Markus, HS, Palmer, CNA, Plomin, R, Rautanen, A, Trembath, RC, Viswanathan, AC, Wood, NW, Spencer, CCA, Band, G, Bellenguez, C, Freeman, C, Hellenthal, G, Pirinen, M, Strange, A, Blackburn, H, Bumpstead, SJ, Dronov, S, Gillman, M, Jayakumar, A, McCann, OT, Liddle, J, Potter, SC, Ravindrarajah, R, Ricketts, M, Waller, M, Weston, P, Widaa, S, Whittaker, P, and Kwiatkowski, D

Subjects
Male, 692/4020/1503/257/1402, Genotype, Genotyping Techniques, LOCI, 45/43, lcsh:Medicine, Polymorphism, Single Nucleotide, Crohn's disease, genetics, genome wide association, Article, Deep Learning, Crohn Disease, INDEL Mutation, Genetics research, Humans, genetics, Genetic Predisposition to Disease, 129, lcsh:Science, Alleles, Science & Technology, genome wide association, RISK PREDICTION, 45, Models, Genetic, lcsh:R, Decision Trees, 692/308/2056, ASSOCIATION, Multidisciplinary Sciences, Crohn's disease, Logistic Models, Nonlinear Dynamics, ROC Curve, Area Under Curve, Science & Technology - Other Topics, lcsh:Q, Female, Neural Networks, Computer, INFLAMMATORY-BOWEL-DISEASE, Genome-Wide Association Study
Abstract

Crohn Disease (CD) is a complex genetic disorder for which more than 140 genes have been identified using genome wide association studies (GWAS). However, the genetic architecture of the trait remains largely unknown. The recent development of machine learning (ML) approaches incited us to apply them to classify healthy and diseased people according to their genomic information. The Immunochip dataset containing 18,227 CD patients and 34,050 healthy controls enrolled and genotyped by the international Inflammatory Bowel Disease genetic consortium (IIBDGC) has been re-analyzed using a set of ML methods: penalized logistic regression (LR), gradient boosted trees (GBT) and artificial neural networks (NN). The main score used to compare the methods was the Area Under the ROC Curve (AUC) statistics. The impact of quality control (QC), imputing and coding methods on LR results showed that QC methods and imputation of missing genotypes may artificially increase the scores. At the opposite, neither the patient/control ratio nor marker preselection or coding strategies significantly affected the results. LR methods, including Lasso, Ridge and ElasticNet provided similar results with a maximum AUC of 0.80. GBT methods like XGBoost, LightGBM and CatBoost, together with dense NN with one or more hidden layers, provided similar AUC values, suggesting limited epistatic effects in the genetic architecture of the trait. ML methods detected near all the genetic variants previously identified by GWAS among the best predictors plus additional predictors with lower effects. The robustness and complementarity of the different methods are also studied. Compared to LR, non-linear models such as GBT or NN may provide robust complementary approaches to identify and classify genetic markers. Tis work was supported by Fondation pour la Recherche Médical (ref DEI20151234405) and Investissements d’Avenir programme ANR-11-IDEX-0005-02, Sorbonne Paris Cite, Laboratoire d’excellence INFLAMEX. Te authors thank the students that participated to the wisdom of the crowd exercise.

Published
2019

6. S53 Effect of epigenetic inhibitors on lung fibroblast phenotype change in idiopathic pulmonary fibrosis

Author

Alan J. Knox, Linhua Pang, Alice Pasini, Gisli Jenkins, Oliver Brand, Pasini, A, Brand, OJ, Jenkins, G, Knox, AJ, and Pang, L

Subjects
0301 basic medicine, Pulmonary and Respiratory Medicine, biology, EZH2, Bisulfite sequencing, Idipoathic polmonary fibrosis, epigenetic inhibitors, cyclooxygenase-2, Transforming growth factor-β, Demethylating agent, 03 medical and health sciences, chemistry.chemical_compound, 030104 developmental biology, Histone, chemistry, Histone methyltransferase, Gene expression, biology.protein, Cancer research, Epigenetics, Myofibroblast
Abstract

Introduction and objectives: Idiopathic Pulmonary Fibrosis (IFP) is a fatal interstitial lung disease with unknown aetiology. Lung myofibroblasts (activated fibrobalsts) are the major effector cells in the pathogenesis of IPF. Transforming growth factor-β (TGF-β1) is a potent activator of fibroblasts. Lack of effective treatment options necessitates novel therapeutic approaches. Epigenetic drugs, by inhibiting chromatin modifying enzymes involved in gene expression control, represent promising agents capable of modulating the cellular phenotype. We previously demonstrated that the cyclooxygenase-2 (COX-2) gene is epigenetically silenced in lung fibroblasts from IPF patients (F-IPF)1 and epigenetic inhibitors and restore COX-2 expression. However, whether epigenetic inhibitors can alter fibroblast phenotype remains unknown. This study aimed to investigate the effect of four different epigenetic enzyme inhibitors on fibroblast phenotype change in IPF. Methods: F-IPF and fibroblasts from non-fibrotic lung (F-NL) treated with TGF-β1 were cultured to test the effects of the epigenetic inhibitors BIX01294 (BIX, G9a histone methyltransferase inhibitor), 3-deazaneplanocin A (DZNep, EZH2 histone methyltransferase inhibitor), SAHA (histone deacetylases inhibitor) and Decitabine (DAC, DNA demethylating agent), in comparison with the COX-2 products prostaglandin E2 (PGE2). The expression of COX-2 and myofibroblast markers collagen 1 (COL1) and α-smooth muscle actin (α-SMA) was assessed. The COX-2 DNA promoter methylation level was analysed by bisulfite sequencing. Results: TGF-β1 induced a myofibroblast phenotype in F-NL characterised by COL1 and α-SMA upregulation and COX-2 downregulation, similar to F-IPF. PGE2 and SAHA were able to maintain/restore COX-2 expression in TGF-β1-induced myofibroblasts and F-IPF. DAC demonstrated similar effect in TGF-β1 treated F-NL only. SAHA also reduced COL1 and α-SMA expression. But DZNep and BIX showed no effect. No differences in the COX-2 promoter methylation was detected between F-NL and F-IPF. Conclusions: Among the epigenetic inhibitors tested, SAHA shows a promising antifibrotic effect by inhibiting fibroblast activation and the underlying molecular mechanisms are currently under investigation.

Published
2016

7. S52 Suberanilohydroxamic acid (SAHA) inhibits collagen deposition in a transforming growth factor β1-driven precision cut lung slice (PCLS) model of pulmonary fibrosis

Author

Antony Habgood, Alan J. Knox, Gisli Jenkins, Oliver Brand, Alice Pasini, Linhua Pang, Brand, OJ, Pasini, A, Habgood, A, Knox, AJ, Jenkins, G, and Pang, L

Subjects
0301 basic medicine, Pulmonary and Respiratory Medicine, business.industry, EZH2, medicine.disease, Molecular biology, Demethylating agent, 03 medical and health sciences, Idiopathic pulmonary fibrosis, chemistry.chemical_compound, 030104 developmental biology, 0302 clinical medicine, 030228 respiratory system, chemistry, Fibrosis, SAHA, idiopathic pulmonary fibrosis, precision cut lung slice, Transforming growth factor-β1, Histone methyltransferase, Pulmonary fibrosis, medicine, Cancer research, Epigenetics, business, Transforming growth factor
Abstract

Introduction and Objectives: Idiopathic Pulmonary Fibrosis (IPF) is a chronic, progressive interstitial lung disease that is refractory to current treatment options. Transforming growth factor (TGF)-β1 is a key pro-fibrotic cytokine that plays a crucial role in IPF pathogenesis. Our group previously demonstrated distinct epigenetic modifications involved in repression of the antifibrotic gene cyclooxygenase-2 (COX-2) in fibroblasts from IPF (F-IPF) lungs compared with fibroblasts from non-fibrotic lungs (F-NL). Epigenetic drugs capable of inhibiting DNA and histone modifications may, therefore, represent a putative novel therapy. The aim of this study was to investigate the ability of 4 epigenetic inhibitors to regulate TGF-β-driven fibrosis in ex vivo mouse lung. Methods: A precision-cut lung slice (PCLS) model of fibrosis was established using the previously described [1] CC10-tTS-rtTA-TGFβ1 transgenic (tgTGF-β1) mouse. The model was first assessed by investigating PCLS overexpression of TGF-β1 in response to stimulation of the transgene by doxycycline treatment. Gene expression of COX-2 and fibrotic markers including collagen were assessed after 4 days of treatment. The anti-fibrotic potential of 4 epigenetic inhibitors; BIX01294 (BIX, inhibitor of G9a histone methyltransferase), 3-deazaneplanocin A (DZNep, inhibitor of EZH2 histone methyltransferase), SAHA (inhibitor of histone deacetylases, HDACs) and Decitabine (DAC, DNA demethylating agent) was investigated. Viability of PCLS was assessed by MTT and Prestoblue® viability assay. Results: Treatment of PCLS from tgTGF-β1 mice with doxycycline induced a concentration-dependent increase in global TGF-β1, pro-fibrotic markers including collagen and pro-inflammatory COX-2, which was comparable to recombinant TGF-β1 treatment. Treatment with three of the epigenetic inhibitors BIX01294, DZNep and DAC did not reduce the pro-fibrotic response following doxycycline treatment. However SAHA demonstrated a significant suppressive effect on COX-2 and collagen expression, while not directly affecting TGF-β1 transgene expression. Conclusions: The data suggests that SAHA has the potential to reduce fibrosis in a TGF-β1 driven model of pulmonary fibrosis. Further work is currently underway to assess the anti-fibrotic potential of this drug in tgTGF-β1 animals.

Published
2016

8. Imbalanced prostanoid release mediates cigarette smoke-induced human pulmonary artery cell proliferation.

Author

Alqarni AA, Brand OJ, Pasini A, Alahmari M, Alghamdi A, and Pang L

Subjects
Cell Proliferation, Endothelial Cells, Humans, Prostaglandins metabolism, Prostaglandins E metabolism, Prostaglandins E pharmacology, Pulmonary Artery metabolism, RNA, Messenger metabolism, Nicotiana, Vascular Remodeling, Cigarette Smoking, Hypertension, Pulmonary etiology, Hypertension, Pulmonary metabolism, Pulmonary Disease, Chronic Obstructive metabolism
Abstract

Background: Pulmonary hypertension is a common and serious complication of chronic obstructive pulmonary disease (COPD). Studies suggest that cigarette smoke can initiate pulmonary vascular remodelling by stimulating cell proliferation; however, the underlying cause, particularly the role of vasoactive prostanoids, is unclear. We hypothesize that cigarette smoke extract (CSE) can induce imbalanced vasoactive prostanoid release by differentially modulating the expression of respective synthase genes in human pulmonary artery smooth muscle cells (PASMCs) and endothelial cells (PAECs), thereby contributing to cell proliferation., Methods: Aqueous CSE was prepared from 3R4F research-grade cigarettes. Human PASMCs and PAECs were treated with or without CSE. Quantitative real-time RT-PCR and Western blotting were used to analyse the mRNA and protein expression of vasoactive prostanoid syhthases. Prostanoid concentration in the medium was measured using ELISA kits. Cell proliferation was assessed using the cell proliferation reagent WST-1., Results: We demonstrated that CSE induced the expression of cyclooxygenase-2 (COX-2), the rate-limiting enzyme in prostanoid synthesis, in both cell types. In PASMCs, CSE reduced the downstream prostaglandin (PG) I synthase (PGIS) mRNA and protein expression and PGI 2 production, whereas in PAECs, CSE downregulated PGIS mRNA expression, but PGIS protein was undetectable and CSE had no effect on PGI 2 production. CSE increased thromboxane (TX) A synthase (TXAS) mRNA expression and TXA 2 production, despite undetectable TXAS protein in both cell types. CSE also reduced microsomal PGE synthase-1 (mPGES-1) protein expression and PGE 2 production in PASMCs, but increased PGE 2 production despite unchanged mPGES-1 protein expression in PAECs. Furthermore, CSE stimulated proliferation of both cell types, which was significantly inhibited by the selective COX-2 inhibitor celecoxib, the PGI 2 analogue beraprost and the TXA 2 receptor antagonist daltroban., Conclusions: These findings provide the first evidence that cigarette smoke can induce imbalanced prostanoid mediator release characterized by the reduced PGI 2 /TXA 2 ratio and contribute to pulmonary vascular remodelling and suggest that TXA 2 may represent a novel therapeutic target for pulmonary hypertension in COPD., (© 2022. The Author(s).)

Published
2022
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9. Neurturin regulates the lung-resident macrophage inflammatory response to viral infection.

Author

Connolly E, Morgan DJ, Franklin M, Simpson A, Shah R, Brand OJ, Jagger CP, Casulli J, Mohamed K, Grabiec AM, and Hussell T

Subjects
Glial Cell Line-Derived Neurotrophic Factor metabolism, Glial Cell Line-Derived Neurotrophic Factor Receptors metabolism, Humans, Lung metabolism, Lung pathology, Macrophages immunology, Macrophages metabolism, Macrophages, Alveolar immunology, Neurons metabolism, Neurturin metabolism, Proto-Oncogene Proteins c-ret metabolism, RNA, Messenger metabolism, Virus Diseases immunology, Virus Diseases metabolism, Lung immunology, Macrophages, Alveolar metabolism, Neurturin pharmacology
Abstract

Lung-resident macrophages are crucial to the maintenance of health and in the defence against lower respiratory tract infections. Macrophages adapt to local environmental cues that drive their appropriate function; however, this is often dysregulated in many inflammatory lung pathologies. In mucosal tissues, neuro-immune interactions enable quick and efficient inflammatory responses to pathogenic threats. Although a number of factors that influence the antimicrobial response of lung macrophages are known, the role of neuronal factors is less well understood. Here, we show an intricate circuit involving the neurotrophic factor, neurturin (NRTN) on human lung macrophages that dampens pro-inflammatory cytokine release and modulates the type of matrix metalloproteinases produced in response to viral stimuli. This circuit involves type 1 interferon-induced up-regulation of RET that when combined with the glial cell line-derived neurotrophic factor (GDNF) receptor α2 (GFRα2) allows binding to epithelial-derived NRTN. Our research highlights a non-neuronal immunomodulatory role for NRTN and a novel process leading to a specific antimicrobial immune response by human lung-resident macrophages., (© 2020 Connolly et al.)

Published
2020
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10. Sensing of apoptotic cells through Axl causes lung basal cell proliferation in inflammatory diseases.

Author

Fujino N, Brand OJ, Morgan DJ, Fujimori T, Grabiec AM, Jagger CP, Maciewicz RA, Yamada M, Itakura K, Sugiura H, Ichinose M, and Hussell T

Subjects
Aged, Animals, Cell Cycle, Cell Proliferation, DNA biosynthesis, Epithelium pathology, Female, Homeostasis, Humans, Male, Mice, Inbred C57BL, Orthomyxoviridae physiology, Orthomyxoviridae Infections immunology, Orthomyxoviridae Infections virology, Proto-Oncogene Proteins deficiency, Pulmonary Disease, Chronic Obstructive enzymology, Pulmonary Disease, Chronic Obstructive pathology, Re-Epithelialization, Receptor Protein-Tyrosine Kinases deficiency, Trachea pathology, Trans-Activators metabolism, Axl Receptor Tyrosine Kinase, Apoptosis, Inflammation enzymology, Inflammation pathology, Lung pathology, Proto-Oncogene Proteins metabolism, Receptor Protein-Tyrosine Kinases metabolism
Abstract

Epithelial cell proliferation, division, and differentiation are critical for barrier repair following inflammation, but the initial trigger for this process is unknown. Here we define that sensing of apoptotic cells by the TAM receptor tyrosine kinase Axl is a critical indicator for tracheal basal cell expansion, cell cycle reentry, and symmetrical cell division. Furthermore, once the pool of tracheal basal cells has expanded, silencing of Axl is required for their differentiation. Genetic depletion of Axl triggers asymmetrical cell division, leading to epithelial differentiation and ciliated cell regeneration. This discovery has implications for conditions associated with epithelial barrier dysfunction, basal cell hyperplasia, and continued turnover of dying cells in patients with chronic inflammatory pulmonary diseases., (© 2019 Fujino et al.)

Published
2019
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11. Innate Immune Cell Suppression and the Link With Secondary Lung Bacterial Pneumonia.

Author

Morgan DJ, Casulli J, Chew C, Connolly E, Lui S, Brand OJ, Rahman R, Jagger C, and Hussell T

Subjects
Aged, Child, Coinfection microbiology, Coinfection virology, Cross Infection immunology, Cross Infection microbiology, Cross Infection virology, Humans, Lung microbiology, Lung virology, Coinfection immunology, Immunity, Innate immunology, Lung immunology, Pneumonia, Bacterial immunology, Virus Diseases immunology
Abstract

Secondary infections arise as a consequence of previous or concurrent conditions and occur in the community or in the hospital setting. The events allowing secondary infections to gain a foothold have been studied for many years and include poor nutrition, anxiety, mental health issues, underlying chronic diseases, resolution of acute inflammation, primary immune deficiencies, and immune suppression by infection or medication. Children, the elderly and the ill are particularly susceptible. This review is concerned with secondary bacterial infections of the lung that occur following viral infection. Using influenza virus infection as an example, with comparisons to rhinovirus and respiratory syncytial virus infection, we will update and review defective bacterial innate immunity and also highlight areas for potential new investigation. It is currently estimated that one in 16 National Health Service (NHS) hospital patients develop an infection, the most common being pneumonia, lower respiratory tract infections, urinary tract infections and infection of surgical sites. The continued drive to understand the mechanisms of why secondary infections arise is therefore of key importance.

Published
2018
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12. Suberanilohydroxamic acid prevents TGF-β1-induced COX-2 repression in human lung fibroblasts post-transcriptionally by TIA-1 downregulation.

Author

Pasini A, Brand OJ, Jenkins G, Knox AJ, and Pang L

Subjects
Adenosine administration & dosage, Adenosine analogs & derivatives, Azacitidine administration & dosage, Azacitidine analogs & derivatives, Cell Line, Cyclooxygenase 1 genetics, DNA Methylation genetics, Decitabine, Enhancer of Zeste Homolog 2 Protein genetics, Fibroblasts metabolism, Gene Expression Regulation genetics, Humans, Hydroxamic Acids administration & dosage, Lung drug effects, Lung metabolism, Promoter Regions, Genetic, Vorinostat, Cyclooxygenase 2 genetics, Histone Deacetylase Inhibitors administration & dosage, T-Cell Intracellular Antigen-1 genetics, Transforming Growth Factor beta1 genetics
Abstract

Cyclooxygenase-2 (COX-2), with its main antifibrotic metabolite PGE 2 , is regarded as an antifibrotic gene. Repressed COX-2 expression and deficient PGE 2 have been shown to contribute to the activation of lung fibroblasts and excessive deposition of collagen in pulmonary fibrosis. We have previously demonstrated that COX-2 expression in lung fibroblasts from patients with idiopathic pulmonary fibrosis (IPF) is epigenetically silenced and can be restored by epigenetic inhibitors. This study aimed to investigate whether COX-2 downregulation induced by the profibrotic cytokine transforming growth factor-β1 (TGF-β1) in normal lung fibroblasts could be prevented by epigenetic inhibitors. We found that COX-2 protein expression and PGE 2 production were markedly reduced by TGF-β1 and this was prevented by the pan-histone deacetylase inhibitor suberanilohydroxamic acid (SAHA) and to a lesser extent by the DNA demethylating agent Decitabine (DAC), but not by the G9a histone methyltransferase (HMT) inhibitor BIX01294 or the EZH2 HMT inhibitor 3-deazaneplanocin A (DZNep). However, chromatin immunoprecipitation assay revealed that the effect of SAHA was unlikely mediated by histone modifications. Instead 3'-untranslated region (3'-UTR) luciferase reporter assay indicated the involvement of post-transcriptional mechanisms. This was supported by the downregulation by SAHA of the 3'-UTR mRNA binding protein TIA-1 (T-cell intracellular antigen-1), a negative regulator of COX-2 translation. Furthermore, TIA-1 knockdown by siRNA mimicked the effect of SAHA on COX-2 expression. These findings suggest SAHA can prevent TGF-β1-induced COX-2 repression in lung fibroblasts post-transcriptionally through a novel TIA-1-dependent mechanism and provide new insights into the mechanisms underlying its potential antifibrotic activity., (Copyright © 2018 The Authors. Published by Elsevier B.V. All rights reserved.)

Published
2018
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13. Interplay between EZH2 and G9a Regulates CXCL10 Gene Repression in Idiopathic Pulmonary Fibrosis.

Author

Coward WR, Brand OJ, Pasini A, Jenkins G, Knox AJ, and Pang L

Subjects
Case-Control Studies, Cells, Cultured, Chemokine CXCL10 genetics, DNA Methylation, Down-Regulation, Enhancer of Zeste Homolog 2 Protein genetics, Epigenetic Repression, Fibroblasts drug effects, Fibroblasts pathology, Histocompatibility Antigens genetics, Histone-Lysine N-Methyltransferase genetics, Humans, Idiopathic Pulmonary Fibrosis genetics, Idiopathic Pulmonary Fibrosis pathology, Lung drug effects, Lung pathology, Promoter Regions, Genetic, Signal Transduction, Transforming Growth Factor beta1 pharmacology, Chemokine CXCL10 metabolism, Enhancer of Zeste Homolog 2 Protein metabolism, Fibroblasts enzymology, Histocompatibility Antigens metabolism, Histone-Lysine N-Methyltransferase metabolism, Idiopathic Pulmonary Fibrosis enzymology, Lung enzymology
Abstract

Selective repression of the antifibrotic gene CXCL10 contributes to tissue remodeling in idiopathic pulmonary fibrosis (IPF). We have previously reported that histone deacetylation and histone H3 lysine 9 (H3K9) methylation are involved in CXCL10 repression. In this study, we explored the role of H3K27 methylation and the interplay between the two histone lysine methyltransferases enhancer of zest homolog 2 (EZH2) and G9a in CXCL10 repression in IPF. By applying chromatin immunoprecipitation, Re-ChIP, and proximity ligation assays, we demonstrated that, like G9a-mediated H3K9 methylation, EZH2-mediated histone H3 lysine 27 trimethylation (H3K27me3) was significantly enriched at the CXCL10 promoter in fibroblasts from IPF lungs (F-IPF) compared with fibroblasts from nonfibrotic lungs, and we also found that EZH2 and G9a physically interacted with each other. EZH2 knockdown reduced not only EZH2 and H3K27me3 but also G9a and H3K9me3, and G9a knockdown reduced not only G9 and H3K9me3 but also EZH2 and H3K27me3. Depletion and inhibition of EZH2 and G9a also reversed histone deacetylation and restored CXCL10 expression in F-IPF. Furthermore, treatment of fibroblasts from nonfibrotic lungs with the profibrotic cytokine transforming growth factor-β1 increased EZH2, G9a, H3K27me3, H3K9me3, and histone deacetylation at the CXCL10 promoter, similar to that observed in F-IPF, which was correlated with CXCL10 repression and was prevented by EZH2 and G9a knockdown. These findings suggest that a novel and functionally interdependent interplay between EZH2 and G9a regulates histone methylation-mediated epigenetic repression of the antifibrotic CXCL10 gene in IPF. This interdependent interplay may prove to be a target for epigenetic intervention to restore the expression of CXCL10 and other antifibrotic genes in IPF.

Published
2018
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14. Transforming Growth Factor-β and Interleukin-1β Signaling Pathways Converge on the Chemokine CCL20 Promoter.

Author

Brand OJ, Somanath S, Moermans C, Yanagisawa H, Hashimoto M, Cambier S, Markovics J, Bondesson AJ, Hill A, Jablons D, Wolters P, Lou J, Marks JD, Baron JL, and Nishimura SL

Subjects
Animals, Base Sequence, Cells, Cultured, Fibroblasts immunology, Fibroblasts metabolism, Gene Expression Regulation, Humans, Lung cytology, Mice, Mice, Inbred C57BL, NF-kappa B immunology, Chemokine CCL20 genetics, Interleukin-1beta immunology, Response Elements, Signal Transduction, Transforming Growth Factor beta immunology
Abstract

CCL20 is the only chemokine ligand for the chemokine receptor CCR6, which is expressed by the critical antigen presenting cells, dendritic cells. Increased expression of CCL20 is likely involved in the increased recruitment of dendritic cells observed in fibroinflammatory diseases such as chronic obstructive pulmonary disease (COPD). CCL20 expression is increased by the proinflammatory cytokine IL-1β. We have determined that IL-1β-dependent CCL20 expression is also dependent on the multifunctional cytokine TGF-β. TGF-β is expressed in a latent form that must be activated to function, and activation is achieved through binding to the integrin αvβ8 (itgb8). Here we confirm correlative increases in αvβ8 and IL-1β with CCL20 protein in lung parenchymal lysates of a large cohort of COPD patients. How IL-1β- and αvβ8-mediated TGF-β activation conspire to increase fibroblast CCL20 expression remains unknown, because these pathways have not been shown to directly interact. We evaluate the 5'-flanking region of CCL20 to determine that IL-1β-driven CCL20 expression is dependent on αvβ8-mediated activation of TGF-β. We identify a TGF-β-responsive element (i.e. SMAD) located on an upstream enhancer of the human CCL20 promoter required for efficient IL-1β-dependent CCL20 expression. By chromatin immunoprecipitation, this upstream enhancer complexes with the p50 subunit of NF-κB on a NF-κB-binding element close to the transcriptional start site of CCL20. These interactions are confirmed by electromobility shift assays in nuclear extracts from human lung fibroblasts. These data define a mechanism by which αvβ8-dependent activation of TGF-β regulates IL-1β-dependent CCL20 expression in COPD., (© 2015 by The American Society for Biochemistry and Molecular Biology, Inc.)

Published
2015
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15. Skewed X chromosome inactivation and female preponderance in autoimmune thyroid disease: an association study and meta-analysis.

Author

Simmonds MJ, Kavvoura FK, Brand OJ, Newby PR, Jackson LE, Hargreaves CE, Franklyn JA, and Gough SC

Subjects
Adult, Case-Control Studies, Female, Genetic Association Studies, Genetic Predisposition to Disease, Humans, Male, Middle Aged, Pedigree, Sex Factors, Thyroiditis, Autoimmune epidemiology, United Kingdom epidemiology, White People statistics & numerical data, Young Adult, Thyroiditis, Autoimmune genetics, X Chromosome Inactivation genetics
Abstract

Context: A number of small data sets have suggested a potential role for skewed X chromosome activation (XCI), away from the expected 50:50 parent of origin ratio, as an explanation for the strong female preponderance seen in the common autoimmune thyroid diseases (AITD), Graves' disease (GD), and Hashimoto's thyroiditis (HT)., Objective: The objective of the study was to confirm a role for XCI skewing as a potential explanation for the strong female preponderance seen in AITD., Design: The design of the study was to screen XCI in the largest GD, HT, and control case-control cohort and family cohort to date and undertake a meta-analysis of previous AITD XCI reports., Setting: The study was conducted at a research laboratory., Patients: Three hundred and nine GD, 490 HT, and 325 female UK Caucasians controls, 273 UK Caucasian GD families, and a meta-analysis of 454 GD, 673 HT, and 643 female Caucasian controls were included in the study., Main Outcome Measures: Case-control and family-based association studies and meta-analysis were measured., Results: Skewed XCI was observed with GD [odds ratio (OR) 2.17 [95% confidence interval (CI) 1.43-3.30], P=2.1×10(-4)] and a trend toward skewing with HT (P=.08) compared with the control cohort. A meta-analysis of our UK data and that of four previous non-UK Caucasian studies confirmed significant skewing of XCI with GD [OR 2.54 (95% CI 1.58-4.10), P=1.0×10(-4), I2=30.2%] and HT [OR 2.40 (95% CI 1.10-5.26), P=.03, I2=74.3%]., Conclusions: Convincing evidence exists to support a role for skewed XCI in female subjects with AITD, which may, in part, explain the strong female preponderance observed in this disease.

Published
2014
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16. Donor ABCB1 variant associates with increased risk for kidney allograft failure.

Author

Moore J, McKnight AJ, Döhler B, Simmonds MJ, Courtney AE, Brand OJ, Briggs D, Ball S, Cockwell P, Patterson CC, Maxwell AP, Gough SC, Opelz G, and Borrows R

Subjects
ATP Binding Cassette Transporter, Subfamily B, Adult, Calcineurin Inhibitors, Cohort Studies, Cyclophilins genetics, Cytochrome P-450 CYP3A genetics, Female, Genetic Association Studies, Graft Survival genetics, Humans, Kaplan-Meier Estimate, Kidney Transplantation mortality, Kidney Transplantation physiology, Linkage Disequilibrium, Male, Middle Aged, Pregnane X Receptor, Receptors, Steroid genetics, Risk Factors, Tissue Donors, United Kingdom epidemiology, ATP Binding Cassette Transporter, Subfamily B, Member 1 genetics, Kidney Transplantation adverse effects, Polymorphism, Single Nucleotide
Abstract

The impact of variation within genes responsible for the disposition and metabolism of calcineurin inhibitors (CNIs) on clinical outcomes in kidney transplantation is not well understood. Furthermore, the potential influence of donor, rather than recipient, genotypes on clinical endpoints is unknown. Here, we investigated the associations between donor and recipient gene variants with outcome among 4471 white, CNI-treated kidney transplant recipients. We tested for 52 single-nucleotide polymorphisms (SNPs) across five genes: CYP3A4, CYP3A5, ABCB1 (MDR1; encoding P-glycoprotein), NR1I2 (encoding the pregnane X receptor), and PPIA (encoding cyclophilin). In a discovery cohort of 811 patients from Birmingham, United Kingdom, kidney donor CC genotype at C3435T (rs1045642) within ABCB1, a variant known to alter protein expression, was associated with an increased risk for long-term graft failure compared with non-CC genotype (hazard ratio [HR], 1.69; 95% confidence interval [CI], 1.20-2.40; P=0.003). No other donor or recipient SNPs were associated with graft survival or mortality. We validated this association in 675 donors from Belfast, United Kingdom (HR, 1.68; 95% CI, 1.21-2.32; P=0.002), and in 2985 donors from the Collaborative Transplant Study (HR, 1.84; 95% CI, 1.08-3.13; P=0.006). In conclusion, these data suggest that an ABCB1 variant known to alter protein expression represents an attractive candidate for future study and risk stratification in kidney transplantation.

Published
2012
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17. Immunogenetic mechanisms leading to thyroid autoimmunity: recent advances in identifying susceptibility genes and regions.

Author

Brand OJ and Gough SC

Abstract

The autoimmune thyroid diseases (AITD) include Graves' disease (GD) and Hashimoto's thyroiditis (HT), which are characterised by a breakdown in immune tolerance to thyroid antigens. Unravelling the genetic architecture of AITD is vital to better understanding of AITD pathogenesis, required to advance therapeutic options in both disease management and prevention. The early whole-genome linkage and candidate gene association studies provided the first evidence that the HLA region and CTLA-4 represented AITD risk loci. Recent improvements in; high throughput genotyping technologies, collection of larger disease cohorts and cataloguing of genome-scale variation have facilitated genome-wide association studies and more thorough screening of candidate gene regions. This has allowed identification of many novel AITD risk genes and more detailed association mapping. The growing number of confirmed AITD susceptibility loci, implicates a number of putative disease mechanisms most of which are tightly linked with aspects of immune system function. The unprecedented advances in genetic study will allow future studies to identify further novel disease risk genes and to identify aetiological variants within specific gene regions, which will undoubtedly lead to a better understanding of AITD patho-physiology.

Published
2011
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18. Thyroid stimulating hormone receptor (TSHR) intron 1 variants are major risk factors for Graves' disease in three European Caucasian cohorts.

Author

Płoski R, Brand OJ, Jurecka-Lubieniecka B, Franaszczyk M, Kula D, Krajewski P, Karamat MA, Simmonds MJ, Franklyn JA, Gough SC, Jarząb B, and Bednarczuk T

Subjects
Case-Control Studies, Cohort Studies, Female, Gene Frequency, Genotype, Graves Disease ethnology, Haplotypes, Humans, Introns genetics, Linkage Disequilibrium, Logistic Models, Male, Poland, Risk Factors, United Kingdom, White People genetics, Genetic Predisposition to Disease genetics, Graves Disease genetics, Polymorphism, Single Nucleotide, Receptors, Thyrotropin genetics
Abstract

Background: The thyroid stimulating hormone receptor (TSHR) gene is an established susceptibility locus for Graves' disease (GD), with recent studies refining association to two single nucleotide polymorphisms (SNPs), rs179247 and rs12101255, within TSHR intron 1., Methodology and Principal Findings: We aimed to validate association of rs179247 and rs12101255 in Polish and UK Caucasian GD case-control subjects, determine the mode of inheritance and to see if association correlates with specific GD clinical manifestations. We investigated three case-control populations; 558 GD patients and 520 controls from Warsaw, Poland, 196 GD patients and 198 controls from Gliwice, Poland and 2504 GD patients from the UK National collection and 2784 controls from the 1958 British Birth cohort. Both rs179247 (P = 1.2×10(-2)-6.2×10(-15), OR = 1.38-1.45) and rs12101255 (P = 1.0×10(-4)-3.68×10(-21), OR = 1.47-1.87) exhibited strong association with GD in all three cohorts. Logistic regression suggested association of rs179247 is secondary to rs12101255 in all cohorts. Inheritance modeling suggested a co-dominant mode of inheritance in all cohorts. Genotype-phenotype correlations provided no clear evidence of association with any specific clinical characteristics., Conclusions: We have validated association of TSHR intron 1 SNPs with GD in three independent European cohorts and have demonstrated that the aetiological variant within the TSHR is likely to be in strong linkage disequilibrium with rs12101255. Fine mapping is now required to determine the exact location of the aetiological DNA variants within the TSHR.

Published
2010
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19. Follow-up of potential novel Graves' disease susceptibility loci, identified in the UK WTCCC genome-wide nonsynonymous SNP study.

Author

Newby PR, Pickles OJ, Mazumdar S, Brand OJ, Carr-Smith JD, Pearce SH, Franklyn JA, Evans DM, Simmonds MJ, and Gough SC

Subjects
Humans, United Kingdom, Genome-Wide Association Study, Graves Disease genetics, Polymorphism, Single Nucleotide
Abstract

A recent association scan using a genome-wide set of nonsynonymous coding single-nucleotide polymorphisms (nsSNPs) conducted in four diseases including Graves' disease (GD), identified nine novel possible regions of association with GD. We used a case-control approach in an attempt to replicate association of these nine regions in an independent collection of 1578 British GD patients and 1946 matched Caucasian controls. Although none of these loci showed evidence of association with GD in the independent data set, when combined with the original Wellcome Trust Case-Control Consortium study group, minor differences in allele frequencies (P>or=10(-3)) remained in the combined collection of 5924 subjects for four of the nsSNPs, present within HDLBP, TEKT1, JSRP1 and UTX. An additional 29 Tag SNPs were screened within these four gene regions to determine if further associations could be detected. Similarly, minor differences only (P=0.042-0.002) were detected in two HDLBP and two TEKT1 Tag SNPs in the combined UK GD collection. In conclusion, it is unlikely that the SNPs selected in this replication study have a significant effect on the risk of GD in the United Kingdom. Our study confirms the need for large data sets and stringent analysis criteria when searching for susceptibility loci in common diseases.

Published
2010
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20. Genome-wide association study of CNVs in 16,000 cases of eight common diseases and 3,000 shared controls.

Author

Craddock N, Hurles ME, Cardin N, Pearson RD, Plagnol V, Robson S, Vukcevic D, Barnes C, Conrad DF, Giannoulatou E, Holmes C, Marchini JL, Stirrups K, Tobin MD, Wain LV, Yau C, Aerts J, Ahmad T, Andrews TD, Arbury H, Attwood A, Auton A, Ball SG, Balmforth AJ, Barrett JC, Barroso I, Barton A, Bennett AJ, Bhaskar S, Blaszczyk K, Bowes J, Brand OJ, Braund PS, Bredin F, Breen G, Brown MJ, Bruce IN, Bull J, Burren OS, Burton J, Byrnes J, Caesar S, Clee CM, Coffey AJ, Connell JM, Cooper JD, Dominiczak AF, Downes K, Drummond HE, Dudakia D, Dunham A, Ebbs B, Eccles D, Edkins S, Edwards C, Elliot A, Emery P, Evans DM, Evans G, Eyre S, Farmer A, Ferrier IN, Feuk L, Fitzgerald T, Flynn E, Forbes A, Forty L, Franklyn JA, Freathy RM, Gibbs P, Gilbert P, Gokumen O, Gordon-Smith K, Gray E, Green E, Groves CJ, Grozeva D, Gwilliam R, Hall A, Hammond N, Hardy M, Harrison P, Hassanali N, Hebaishi H, Hines S, Hinks A, Hitman GA, Hocking L, Howard E, Howard P, Howson JM, Hughes D, Hunt S, Isaacs JD, Jain M, Jewell DP, Johnson T, Jolley JD, Jones IR, Jones LA, Kirov G, Langford CF, Lango-Allen H, Lathrop GM, Lee J, Lee KL, Lees C, Lewis K, Lindgren CM, Maisuria-Armer M, Maller J, Mansfield J, Martin P, Massey DC, McArdle WL, McGuffin P, McLay KE, Mentzer A, Mimmack ML, Morgan AE, Morris AP, Mowat C, Myers S, Newman W, Nimmo ER, O'Donovan MC, Onipinla A, Onyiah I, Ovington NR, Owen MJ, Palin K, Parnell K, Pernet D, Perry JR, Phillips A, Pinto D, Prescott NJ, Prokopenko I, Quail MA, Rafelt S, Rayner NW, Redon R, Reid DM, Renwick, Ring SM, Robertson N, Russell E, St Clair D, Sambrook JG, Sanderson JD, Schuilenburg H, Scott CE, Scott R, Seal S, Shaw-Hawkins S, Shields BM, Simmonds MJ, Smyth DJ, Somaskantharajah E, Spanova K, Steer S, Stephens J, Stevens HE, Stone MA, Su Z, Symmons DP, Thompson JR, Thomson W, Travers ME, Turnbull C, Valsesia A, Walker M, Walker NM, Wallace C, Warren-Perry M, Watkins NA, Webster J, Weedon MN, Wilson AG, Woodburn M, Wordsworth BP, Young AH, Zeggini E, Carter NP, Frayling TM, Lee C, McVean G, Munroe PB, Palotie A, Sawcer SJ, Scherer SW, Strachan DP, Tyler-Smith C, Brown MA, Burton PR, Caulfield MJ, Compston A, Farrall M, Gough SC, Hall AS, Hattersley AT, Hill AV, Mathew CG, Pembrey M, Satsangi J, Stratton MR, Worthington J, Deloukas P, Duncanson A, Kwiatkowski DP, McCarthy MI, Ouwehand W, Parkes M, Rahman N, Todd JA, Samani NJ, and Donnelly P

Subjects
Arthritis, Rheumatoid genetics, Case-Control Studies, Crohn Disease genetics, Diabetes Mellitus genetics, Gene Frequency genetics, Humans, Nucleic Acid Hybridization, Oligonucleotide Array Sequence Analysis, Pilot Projects, Polymorphism, Single Nucleotide genetics, Quality Control, DNA Copy Number Variations genetics, Disease, Genetic Predisposition to Disease genetics, Genome-Wide Association Study
Abstract

Copy number variants (CNVs) account for a major proportion of human genetic polymorphism and have been predicted to have an important role in genetic susceptibility to common disease. To address this we undertook a large, direct genome-wide study of association between CNVs and eight common human diseases. Using a purpose-designed array we typed approximately 19,000 individuals into distinct copy-number classes at 3,432 polymorphic CNVs, including an estimated approximately 50% of all common CNVs larger than 500 base pairs. We identified several biological artefacts that lead to false-positive associations, including systematic CNV differences between DNAs derived from blood and cell lines. Association testing and follow-up replication analyses confirmed three loci where CNVs were associated with disease-IRGM for Crohn's disease, HLA for Crohn's disease, rheumatoid arthritis and type 1 diabetes, and TSPAN8 for type 2 diabetes-although in each case the locus had previously been identified in single nucleotide polymorphism (SNP)-based studies, reflecting our observation that most common CNVs that are well-typed on our array are well tagged by SNPs and so have been indirectly explored through SNP studies. We conclude that common CNVs that can be typed on existing platforms are unlikely to contribute greatly to the genetic basis of common human diseases.

Published
2010
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21. Association of PTPN22 haplotypes with Graves' disease.

Author

Heward JM, Brand OJ, Barrett JC, Carr-Smith JD, Franklyn JA, and Gough SC

Subjects
Arthritis, Rheumatoid genetics, Case-Control Studies, Cimicifuga, Family Health, Gene Frequency, Genetic Predisposition to Disease, Haplotypes, Humans, Polymorphism, Single Nucleotide, Protein Tyrosine Phosphatase, Non-Receptor Type 22, Graves Disease genetics, Protein Tyrosine Phosphatases genetics
Abstract

Context: A recent study reported associations of a series of single nucleotide polymorphisms (SNPs) within PTPN22, including rs2476601, with rheumatoid arthritis., Objective: Having previously reported significant association of the T allele of rs2476601 in a Graves' disease (GD) cohort, we sought to determine whether novel rheumatoid arthritis-associated SNPs were also contributing to susceptibility to GD., Design: Case control and family-based studies of five PTPN22 tag SNPs were performed., Setting: An United Kingdom academic department of medicine was the setting for the study., Patients or Other Participants: A total of 768 GD patients, 768 control subjects, and 313 families with autoimmune thyroid disease participated., Main Outcome Measure: Tests for association with disease were the main outcome measure., Results: No association with disease of any of the individual SNPs and no correlation between genotype and clinical phenotype were seen. However, haplotype analysis of the SNP markers with addition of rs2476601 did reveal a strong association of a haplotype containing the T allele, in both the case control (chi2 = 29.13; P = 6.77 x 10(-8)) and family data sets (chi2 = 5.24; P = 0.02). Furthermore, a novel protective effect of a haplotype containing all six SNPs was observed (chi2 = 17.02; P = 3.7 x 10(-5))., Conclusions: These data suggest that the association of SNPs within the PTPN22 region differs between autoimmune diseases, occurring individually and/or as part of a haplotype, indicating that the mechanisms by which PTPN22 confers susceptibility to GD may, in part, be disease specific.

Published
2007
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