12 results on '"Andrews TD"'
Search Results
2. A TNIP1-driven systemic autoimmune disorder with elevated IgG4.
- Author
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Medhavy, A, Athanasopoulos, V, Bassett, K, He, Y, Stanley, M, Enosi Tuipulotu, D, Cappello, J, Brown, GJ, Gonzalez-Figueroa, P, Turnbull, C, Shanmuganandam, S, Tummala, P, Hart, G, Lea-Henry, T, Wang, H, Nambadan, S, Shen, Q, Roco, JA, Burgio, G, Wu, P, Cho, E, Andrews, TD, Field, MA, Wu, X, Ding, H, Guo, Q, Shen, N, Man, SM, Jiang, SH, Cook, MC, Vinuesa, CG, Medhavy, A, Athanasopoulos, V, Bassett, K, He, Y, Stanley, M, Enosi Tuipulotu, D, Cappello, J, Brown, GJ, Gonzalez-Figueroa, P, Turnbull, C, Shanmuganandam, S, Tummala, P, Hart, G, Lea-Henry, T, Wang, H, Nambadan, S, Shen, Q, Roco, JA, Burgio, G, Wu, P, Cho, E, Andrews, TD, Field, MA, Wu, X, Ding, H, Guo, Q, Shen, N, Man, SM, Jiang, SH, Cook, MC, and Vinuesa, CG
- Published
- 2024
3. TLR7 gain-of-function genetic variation causes human lupus
- Author
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Brown, GJ, Canete, PF, Wang, H, Medhavy, A, Bones, J, Roco, JA, He, Y, Qin, Y, Cappello, J, Ellyard, JI, Bassett, K, Shen, Q, Burgio, G, Zhang, Y, Turnbull, C, Meng, X, Wu, P, Cho, E, Miosge, LA, Andrews, TD, Field, MA, Tvorogov, D, Lopez, AF, Babon, JJ, Lopez, CA, Gonzalez-Murillo, A, Garulo, DC, Pascual, V, Levy, T, Mallack, EJ, Calame, DG, Lotze, T, Lupski, JR, Ding, H, Ullah, TR, Walters, GD, Koina, ME, Cook, MC, Shen, N, de Lucas Collantes, C, Corry, B, Gantier, MP, Athanasopoulos, V, Vinuesa, CG, Brown, GJ, Canete, PF, Wang, H, Medhavy, A, Bones, J, Roco, JA, He, Y, Qin, Y, Cappello, J, Ellyard, JI, Bassett, K, Shen, Q, Burgio, G, Zhang, Y, Turnbull, C, Meng, X, Wu, P, Cho, E, Miosge, LA, Andrews, TD, Field, MA, Tvorogov, D, Lopez, AF, Babon, JJ, Lopez, CA, Gonzalez-Murillo, A, Garulo, DC, Pascual, V, Levy, T, Mallack, EJ, Calame, DG, Lotze, T, Lupski, JR, Ding, H, Ullah, TR, Walters, GD, Koina, ME, Cook, MC, Shen, N, de Lucas Collantes, C, Corry, B, Gantier, MP, Athanasopoulos, V, and Vinuesa, CG
- Abstract
Although circumstantial evidence supports enhanced Toll-like receptor 7 (TLR7) signalling as a mechanism of human systemic autoimmune disease1-7, evidence of lupus-causing TLR7 gene variants is lacking. Here we describe human systemic lupus erythematosus caused by a TLR7 gain-of-function variant. TLR7 is a sensor of viral RNA8,9 and binds to guanosine10-12. We identified a de novo, previously undescribed missense TLR7Y264H variant in a child with severe lupus and additional variants in other patients with lupus. The TLR7Y264H variant selectively increased sensing of guanosine and 2',3'-cGMP10-12, and was sufficient to cause lupus when introduced into mice. We show that enhanced TLR7 signalling drives aberrant survival of B cell receptor (BCR)-activated B cells, and in a cell-intrinsic manner, accumulation of CD11c+ age-associated B cells and germinal centre B cells. Follicular and extrafollicular helper T cells were also increased but these phenotypes were cell-extrinsic. Deficiency of MyD88 (an adaptor protein downstream of TLR7) rescued autoimmunity, aberrant B cell survival, and all cellular and serological phenotypes. Despite prominent spontaneous germinal-centre formation in Tlr7Y264H mice, autoimmunity was not ameliorated by germinal-centre deficiency, suggesting an extrafollicular origin of pathogenic B cells. We establish the importance of TLR7 and guanosine-containing self-ligands for human lupus pathogenesis, which paves the way for therapeutic TLR7 or MyD88 inhibition.
- Published
- 2022
4. Deletions in VANGL1 are a risk factor for antibody-mediated kidney disease
- Author
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Jiang, SH, Mercan, S, Papa, I, Moldovan, M, Walters, GD, Koina, M, Fadia, M, Stanley, M, Lea-Henry, T, Cook, A, Ellyard, J, McMorran, B, Sundaram, M, Thomson, R, Canete, PF, Hoy, W, Hutton, H, Srivastava, M, McKeon, K, de la Rua Figueroa, I, Cervera, R, Faria, R, D'Alfonso, S, Gatto, M, Athanasopoulos, V, Field, M, Mathews, J, Cho, E, Andrews, TD, Kitching, AR, Cook, MC, Alarcon Riquelme, M, Bahlo, M, Vinuesa, CG, Jiang, SH, Mercan, S, Papa, I, Moldovan, M, Walters, GD, Koina, M, Fadia, M, Stanley, M, Lea-Henry, T, Cook, A, Ellyard, J, McMorran, B, Sundaram, M, Thomson, R, Canete, PF, Hoy, W, Hutton, H, Srivastava, M, McKeon, K, de la Rua Figueroa, I, Cervera, R, Faria, R, D'Alfonso, S, Gatto, M, Athanasopoulos, V, Field, M, Mathews, J, Cho, E, Andrews, TD, Kitching, AR, Cook, MC, Alarcon Riquelme, M, Bahlo, M, and Vinuesa, CG
- Abstract
We identify an intronic deletion in VANGL1 that predisposes to renal injury in high risk populations through a kidney-intrinsic process. Half of all SLE patients develop nephritis, yet the predisposing mechanisms to kidney damage remain poorly understood. There is limited evidence of genetic contribution to specific organ involvement in SLE.1,2 We identify a large deletion in intron 7 of Van Gogh Like 1 (VANGL1), which associates with nephritis in SLE patients. The same deletion occurs at increased frequency in an indigenous population (Tiwi Islanders) with 10-fold higher rates of kidney disease compared with non-indigenous populations. Vangl1 hemizygosity in mice results in spontaneous IgA and IgG deposition within the glomerular mesangium in the absence of autoimmune nephritis. Serum transfer into B cell-deficient Vangl1+/- mice results in mesangial IgG deposition indicating that Ig deposits occur in a kidney-intrinsic fashion in the absence of Vangl1. These results suggest that Vangl1 acts in the kidney to prevent Ig deposits and its deficiency may trigger nephritis in individuals with SLE.
- Published
- 2021
5. Atypical B cells are part of an alternative lineage of B cells that participates in responses to vaccination and infection in humans
- Author
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Sutton, HJ, Aye, R, Idris, AH, Vistein, R, Nduati, E, Kai, O, Mwacharo, J, Li, X, Gao, X, Andrews, TD, Koutsakos, M, Nguyen, THO, Nekrasov, M, Milburn, P, Eltahla, A, Berry, AA, Natasha, KC, Chakravarty, S, Sim, BKL, Wheatley, AK, Kent, SJ, Hoffman, SL, Lyke, KE, Bejon, P, Luciani, F, Kedzierska, K, Seder, RA, Ndungu, FM, Cockburn, IA, Sutton, HJ, Aye, R, Idris, AH, Vistein, R, Nduati, E, Kai, O, Mwacharo, J, Li, X, Gao, X, Andrews, TD, Koutsakos, M, Nguyen, THO, Nekrasov, M, Milburn, P, Eltahla, A, Berry, AA, Natasha, KC, Chakravarty, S, Sim, BKL, Wheatley, AK, Kent, SJ, Hoffman, SL, Lyke, KE, Bejon, P, Luciani, F, Kedzierska, K, Seder, RA, Ndungu, FM, and Cockburn, IA
- Abstract
The diversity of circulating human B cells is unknown. We use single-cell RNA sequencing (RNA-seq) to examine the diversity of both antigen-specific and total B cells in healthy subjects and malaria-exposed individuals. This reveals two B cell lineages: a classical lineage of activated and resting memory B cells and an alternative lineage, which includes previously described atypical B cells. Although atypical B cells have previously been associated with disease states, the alternative lineage is common in healthy controls, as well as malaria-exposed individuals. We further track Plasmodium-specific B cells after malaria vaccination in naive volunteers. We find that alternative lineage cells are primed after the initial immunization and respond to booster doses. However, alternative lineage cells develop an atypical phenotype with repeated boosts. The data highlight that atypical cells are part of a wider alternative lineage of B cells that are a normal component of healthy immune responses.
- Published
- 2021
6. Functional rare and low frequency variants in BLK and BANK1 contribute to human lupus
- Author
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Jiang, SH, Athanasopoulos, V, Ellyard, J, Chuah, A, Cappello, J, Cook, A, Prabhu, SB, Cardenas, J, Gu, J, Stanley, M, Roco, JA, Papa, I, Yabas, M, Walters, GD, Burgio, G, McKeon, K, Byers, JM, Burrin, C, Enders, A, Miosge, LA, Canete, PF, Jelusic, M, Tasic, V, Lungu, AC, Alexander, S, Kitching, AR, Fulcher, DA, Shen, N, Arsov, T, Gatenby, PA, Babon, JJ, Mallon, DF, Collantes, CDL, Stone, EA, Wu, P, Field, MA, Andrews, TD, Cho, E, Pascual, V, Cook, MC, Vinuesa, CG, Jiang, SH, Athanasopoulos, V, Ellyard, J, Chuah, A, Cappello, J, Cook, A, Prabhu, SB, Cardenas, J, Gu, J, Stanley, M, Roco, JA, Papa, I, Yabas, M, Walters, GD, Burgio, G, McKeon, K, Byers, JM, Burrin, C, Enders, A, Miosge, LA, Canete, PF, Jelusic, M, Tasic, V, Lungu, AC, Alexander, S, Kitching, AR, Fulcher, DA, Shen, N, Arsov, T, Gatenby, PA, Babon, JJ, Mallon, DF, Collantes, CDL, Stone, EA, Wu, P, Field, MA, Andrews, TD, Cho, E, Pascual, V, Cook, MC, and Vinuesa, CG
- Abstract
Systemic lupus erythematosus (SLE) is the prototypic systemic autoimmune disease. It is thought that many common variant gene loci of weak effect act additively to predispose to common autoimmune diseases, while the contribution of rare variants remains unclear. Here we describe that rare coding variants in lupus-risk genes are present in most SLE patients and healthy controls. We demonstrate the functional consequences of rare and low frequency missense variants in the interacting proteins BLK and BANK1, which are present alone, or in combination, in a substantial proportion of lupus patients. The rare variants found in patients, but not those found exclusively in controls, impair suppression of IRF5 and type-I IFN in human B cell lines and increase pathogenic lymphocytes in lupus-prone mice. Thus, rare gene variants are common in SLE and likely contribute to genetic risk.
- Published
- 2019
7. Heterogeneity of Human Neutrophil CD177 Expression Results from CD177P1 Pseudogene Conversion
- Author
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Sirugo, Giorgio, Wu, Z, Liang, R, Ohnesorg, T, Cho, V, Lam, W, Abhayaratna, WP, Gatenby, PA, Perera, C, Zhang, Y, Whittle, B, Sinclair, A, Goodnow, CC ; https://orcid.org/0000-0001-5296-6155, Field, M, Andrews, TD, Cook, MC, Sirugo, Giorgio, Wu, Z, Liang, R, Ohnesorg, T, Cho, V, Lam, W, Abhayaratna, WP, Gatenby, PA, Perera, C, Zhang, Y, Whittle, B, Sinclair, A, Goodnow, CC ; https://orcid.org/0000-0001-5296-6155, Field, M, Andrews, TD, and Cook, MC
- Abstract
Most humans harbor both CD177neg and CD177pos neutrophils but 1–10% of people are CD177null, placing them at risk for formation of anti-neutrophil antibodies that can cause transfusion-related acute lung injury and neonatal alloimmune neutropenia. By deep sequencing the CD177 locus, we catalogued CD177 single nucleotide variants and identified a novel stop codon in CD177null individuals arising from a single base substitution in exon 7. This is not a mutation in CD177 itself, rather the CD177null phenotype arises when exon 7 of CD177 is supplied entirely by the CD177 pseudogene (CD177P1), which appears to have resulted from allelic gene conversion. In CD177 expressing individuals the CD177 locus contains both CD177P1 and CD177 sequences. The proportion of CD177hi neutrophils in the blood is a heritable trait. Abundance of CD177hi neutrophils correlates with homozygosity for CD177 reference allele, while heterozygosity for ectopic CD177P1 gene conversion correlates with increased CD177neg neutrophils, in which both CD177P1 partially incorporated allele and paired intact CD177 allele are transcribed. Human neutrophil heterogeneity for CD177 expression arises by ectopic allelic conversion. Resolution of the genetic basis of CD177null phenotype identifies a method for screening for individuals at risk of CD177 isoimmunisation.
- Published
- 2016
8. Heterogeneity of Human Neutrophil CD177 Expression Results from CD177P1 Pseudogene Conversion
- Author
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Sirugo, G, Wu, Z, Liang, R, Ohnesorg, T, Cho, V, Lam, W, Abhayaratna, WP, Gatenby, PA, Perera, C, Zhang, Y, Whittle, B, Sinclair, A, Goodnow, CC, Field, M, Andrews, TD, Cook, MC, Sirugo, G, Wu, Z, Liang, R, Ohnesorg, T, Cho, V, Lam, W, Abhayaratna, WP, Gatenby, PA, Perera, C, Zhang, Y, Whittle, B, Sinclair, A, Goodnow, CC, Field, M, Andrews, TD, and Cook, MC
- Abstract
Most humans harbor both CD177neg and CD177pos neutrophils but 1-10% of people are CD177null, placing them at risk for formation of anti-neutrophil antibodies that can cause transfusion-related acute lung injury and neonatal alloimmune neutropenia. By deep sequencing the CD177 locus, we catalogued CD177 single nucleotide variants and identified a novel stop codon in CD177null individuals arising from a single base substitution in exon 7. This is not a mutation in CD177 itself, rather the CD177null phenotype arises when exon 7 of CD177 is supplied entirely by the CD177 pseudogene (CD177P1), which appears to have resulted from allelic gene conversion. In CD177 expressing individuals the CD177 locus contains both CD177P1 and CD177 sequences. The proportion of CD177hi neutrophils in the blood is a heritable trait. Abundance of CD177hi neutrophils correlates with homozygosity for CD177 reference allele, while heterozygosity for ectopic CD177P1 gene conversion correlates with increased CD177neg neutrophils, in which both CD177P1 partially incorporated allele and paired intact CD177 allele are transcribed. Human neutrophil heterogeneity for CD177 expression arises by ectopic allelic conversion. Resolution of the genetic basis of CD177null phenotype identifies a method for screening for individuals at risk of CD177 isoimmunisation.
- Published
- 2016
9. Reducing the search space for causal genetic variants with VASP
- Author
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Field, MA, Cho, V, Cook, MC, Enders, A, Vinuesa, CG, Whittle, B, Andrews, TD, Goodnow, CC ; https://orcid.org/0000-0001-5296-6155, Field, MA, Cho, V, Cook, MC, Enders, A, Vinuesa, CG, Whittle, B, Andrews, TD, and Goodnow, CC ; https://orcid.org/0000-0001-5296-6155
- Abstract
Motivation: Increasingly, cost-effective high-throughput DNA sequencing technologies are being utilized to sequence human pedigrees to elucidate the genetic cause of a wide variety of human diseases. While numerous tools exist for variant prioritization within a single genome, the ability to concurrently analyze variants within pedigrees remains a challenge, especially should there be no prior indication of the underlying genetic cause of the disease. Here, we present a tool, variant analysis of sequenced pedigrees (VASP), a flexible data integration environment capable of producing a summary of pedigree variation, providing relevant information such as compound heterozygosity, genome phasing and disease inheritance patterns. Designed to aggregate data across a sequenced pedigree, VASP allows both powerful filtering and custom prioritization of both single nucleotide variants (SNVs) and small indels. Hence, clinical and research users with prior knowledge of a disease are able to dramatically reduce the variant search space based on a wide variety of custom prioritization criteria.
- Published
- 2015
10. B cell survival, surface BCR and BAFFR expression, CD74 metabolism, and CD8- dendritic cells require the intramembrane endopeptidase SPPL2A
- Author
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Bergmann, H, Yabas, M, Short, A, Miosge, L, Barthel, N, Teh, CE, Roots, CM, Bull, KR, Jeelall, Y, Horikawa, K, Whittle, B, Balakishnan, B, Sjollema, G, Bertram, EM, Mackay, F, Rimmer, AJ, Cornall, RJ, Field, MA, Andrews, TD, Goodnow, CC, Enders, A, Bergmann, H, Yabas, M, Short, A, Miosge, L, Barthel, N, Teh, CE, Roots, CM, Bull, KR, Jeelall, Y, Horikawa, K, Whittle, B, Balakishnan, B, Sjollema, G, Bertram, EM, Mackay, F, Rimmer, AJ, Cornall, RJ, Field, MA, Andrews, TD, Goodnow, CC, and Enders, A
- Abstract
Druggable proteins required for B lymphocyte survival and immune responses are an emerging source of new treatments for autoimmunity and lymphoid malignancy. In this study, we show that mice with an inactivating mutation in the intramembrane protease signal peptide peptidase-like 2A (SPPL2A) unexpectedly exhibit profound humoral immunodeficiency and lack mature B cell subsets, mirroring deficiency of the cytokine B cell-activating factor (BAFF). Accumulation of Sppl2a-deficient B cells was rescued by overexpression of the BAFF-induced survival protein B cell lymphoma 2 (BCL2) but not BAFF and was distinguished by low surface BAFF receptor and IgM and IgD B cell receptors. CD8-negative dendritic cells were also greatly decreased. SPPL2A deficiency blocked the proteolytic processing of CD74 MHC II invariant chain in both cell types, causing dramatic build-up of the p8 product of Cathepsin S and interfering with earlier steps in CD74 endosomal retention and processing. The findings illuminate an important role for the final step in the CD74-MHC II pathway and a new target for protease inhibitor treatment of B cell diseases.
- Published
- 2013
11. Genome-wide association study of CNVs in 16,000 cases of eight common diseases and 3,000 shared controls
- Author
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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
12. Breaking the waves: improved detection of copy number variation from microarray-based comparative genomic hybridization.
- Author
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Marioni, JC, Thorne, NP, Valsesia, A, Fitzgerald, T, Redon, R, Fiegler, H, Andrews, TD, Stranger, BE, Lynch, AG, Dermitzakis, ET, Carter, NP, Tavaré, S, Hurles, ME, Marioni, JC, Thorne, NP, Valsesia, A, Fitzgerald, T, Redon, R, Fiegler, H, Andrews, TD, Stranger, BE, Lynch, AG, Dermitzakis, ET, Carter, NP, Tavaré, S, and Hurles, ME
- Abstract
BACKGROUND: Large-scale high throughput studies using microarray technology have established that copy number variation (CNV) throughout the genome is more frequent than previously thought. Such variation is known to play an important role in the presence and development of phenotypes such as HIV-1 infection and Alzheimer's disease. However, methods for analyzing the complex data produced and identifying regions of CNV are still being refined. RESULTS: We describe the presence of a genome-wide technical artifact, spatial autocorrelation or 'wave', which occurs in a large dataset used to determine the location of CNV across the genome. By removing this artifact we are able to obtain both a more biologically meaningful clustering of the data and an increase in the number of CNVs identified by current calling methods without a major increase in the number of false positives detected. Moreover, removing this artifact is critical for the development of a novel model-based CNV calling algorithm - CNVmix - that uses cross-sample information to identify regions of the genome where CNVs occur. For regions of CNV that are identified by both CNVmix and current methods, we demonstrate that CNVmix is better able to categorize samples into groups that represent copy number gains or losses. CONCLUSION: Removing artifactual 'waves' (which appear to be a general feature of array comparative genomic hybridization (aCGH) datasets) and using cross-sample information when identifying CNVs enables more biological information to be extracted from aCGH experiments designed to investigate copy number variation in normal individuals.
- Published
- 2007
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