69 results on '"Carss K"'
Search Results
2. Exome sequencing of Pakistani consanguineous families identifies 30 novel candidate genes for recessive intellectual disability
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Riazuddin, S, Hussain, M, Razzaq, A, Iqbal, Z, Shahzad, M, Polla, D L, Song, Y, van Beusekom, E, Khan, A A, Tomas-Roca, L, Rashid, M, Zahoor, M Y, Wissink-Lindhout, W M, Basra, M AR, Ansar, M, Agha, Z, van Heeswijk, K, Rasheed, F, Van de Vorst, M, Veltman, J A, Gilissen, C, Akram, J, Kleefstra, T, Assir, M Z, Grozeva, D, Carss, K, Raymond, F L, OʼConnor, T D, Riazuddin, S A, Khan, S N, Ahmed, Z M, de Brouwer, A PM, and van Bokhoven, H
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- 2017
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3. Prenatal exome sequencing for fetuses with structural abnormalities: the next step
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HILLMAN, S. C., WILLAMS, D., CARSS, K. J., MCMULLAN, D. J., HURLES, M. E., and KILBY, M. D.
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- 2015
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4. Rare variant contribution to human disease in 281,104 UK Biobank exomes
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Wang, Q, Dhindsa, RS, Carss, K, Harper, AR, Nag, A, Tachmazidou, I, Vitsios, D, Deevi, SVV, Mackay, A, Muthas, D, Huhn, M, Monkley, S, Olsson, H, Wasilewski, S, Smith, KR, March, R, Platt, A, Haefliger, C, Petrovski, S, Wang, Q, Dhindsa, RS, Carss, K, Harper, AR, Nag, A, Tachmazidou, I, Vitsios, D, Deevi, SVV, Mackay, A, Muthas, D, Huhn, M, Monkley, S, Olsson, H, Wasilewski, S, Smith, KR, March, R, Platt, A, Haefliger, C, and Petrovski, S
- Abstract
Genome-wide association studies have uncovered thousands of common variants associated with human disease, but the contribution of rare variants to common disease remains relatively unexplored. The UK Biobank contains detailed phenotypic data linked to medical records for approximately 500,000 participants, offering an unprecedented opportunity to evaluate the effect of rare variation on a broad collection of traits1,2. Here we study the relationships between rare protein-coding variants and 17,361 binary and 1,419 quantitative phenotypes using exome sequencing data from 269,171 UK Biobank participants of European ancestry. Gene-based collapsing analyses revealed 1,703 statistically significant gene-phenotype associations for binary traits, with a median odds ratio of 12.4. Furthermore, 83% of these associations were undetectable via single-variant association tests, emphasizing the power of gene-based collapsing analysis in the setting of high allelic heterogeneity. Gene-phenotype associations were also significantly enriched for loss-of-function-mediated traits and approved drug targets. Finally, we performed ancestry-specific and pan-ancestry collapsing analyses using exome sequencing data from 11,933 UK Biobank participants of African, East Asian or South Asian ancestry. Our results highlight a significant contribution of rare variants to common disease. Summary statistics are publicly available through an interactive portal ( http://azphewas.com/ ).
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- 2021
5. Further study of chromosome 7p22 to identify the molecular basis of familial hyperaldosteronism type II
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Carss, K J, Stowasser, M, Gordon, R D, and O'Shaughnessy, K M
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- 2011
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6. 2.3 Exome sequencing improves genetic diagnosis of structural fetal abnormalities revealed by ultrasound
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Hillman, SC, Carss, K, McMullan, D, Parthiban, V, Maher, E, Kilby, M, and Hurles, M
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- 2014
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7. Whole Exome Analysis Associates Hemicentin1 with Lung Function, Pointing Towards a Potential Role in IPF
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Hühn, M., primary, Carss, K., additional, Olsson, H., additional, Wang, Q., additional, Muthas, D., additional, Georgi, B., additional, Monkley, S., additional, MacKay, A., additional, Haefliger, C., additional, Ohne, Y., additional, Cohen, S., additional, Platt, A., additional, and Petrovski, S., additional
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- 2020
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8. Germline selection shapes human mitochondrial DNA diversity
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Wei, W, Tuna, S, Keogh, MJ, Smith, KR, Aitman, TJ, Beales, PL, Bennett, DL, Gale, DP, Bitner-Glindzicz, MAK, Black, GC, Brennan, P, Elliott, P, Flinter, FA, Floto, RA, Houlden, H, Irving, M, Koziell, A, Maher, ER, Markus, HS, Morrell, NW, Newman, WG, Roberts, I, Sayer, JA, Smith, KGC, Taylor, JC, Watkins, H, Webster, AR, Wilkie, AOM, Williamson, C, Attwood, A, Brown, M, Brod, NC, Crisp-Hihn, A, Davis, J, Deevi, SVV, Dewhurst, EF, Edwards, K, Erwood, M, Fox, J, Frary, AJ, Hu, F, Jolley, J, Kingston, N, Linger, R, Mapeta, R, Martin, J, Meacham, S, Papadia, S, Rayner-Matthews, PJ, Samarghitean, C, Shamardina, O, Simeoni, I, Staines, S, Staples, E, Stark, H, Stephens, J, Titterton, C, Von Ziegenweidt, J, Watt, C, Whitehorn, D, Wood, Y, Yates, K, Yu, P, James, R, Ashford, S, Penkett, CJ, Stirrups, KE, Bariana, T, Lentaigne, C, Sivapalaratnam, S, Westbury, SK, Allsup, DJ, Bakchoul, T, Biss, T, Boyce, S, Collins, J, Collins, PW, Curry, NS, Downes, K, Dutt, T, Erber, WN, Evans, G, Everington, T, Favier, R, Gomez, K, Greene, D, Gresele, P, Hart, D, Kazmi, R, Kelly, AM, Lambert, M, Madan, B, Mangles, S, Mathias, M, Millar, C, Obaji, S, Peerlinck, K, Roughley, C, Schulman, S, Scully, M, Shapiro, SE, Sibson, K, Sims, MC, Tait, RC, Talks, K, Thys, C, Toh, C-H, Van Geet, C, Westwood, J-P, Mumford, AD, Ouwehand, WH, Freson, K, Laffan, MA, Tan, RYY, Harkness, K, Mehta, S, Muir, KW, Hassan, A, Traylor, M, Drazyk, AM, Parry, D, Ahmed, M, Kazkaz, H, Vandersteen, AM, Ormondroyd, E, Thomson, K, Dent, T, Buchan, RJ, Bueser, T, Carr-White, G, Cook, S, Daniels, MJ, Harper, AR, Ware, JS, Dixon, PH, Chambers, J, Cheng, F, Estiu, MC, Hague, WM, Marschall, H-U, Vazquez-Lopez, M, Arno, G, French, CE, Michaelides, M, Moore, AT, Sanchis-Juan, A, Carss, K, Raymond, FL, Chinnery, PF, Griffiths, P, Horvath, R, Hudson, G, Jurkute, N, Pyle, A, Yu-Wai-Man, P, Whitworth, J, Adlard, J, Armstrong, R, Brewer, C, Casey, R, Cole, TRP, Evans, DG, Greenhalgh, L, Hanson, HL, Hoffman, J, Izatt, L, Kumar, A, Lalloo, F, Ong, KR, Park, S-M, Searle, C, Side, L, Snape, K, Woodward, E, Tischkowitz, M, Grozeva, D, Kurian, MA, Themistocleous, AC, Gosal, D, Marshall, A, Matthews, E, McCarthy, MI, Renton, T, Rice, ASC, Vale, T, Walker, SM, Woods, CG, Thaventhiran, JE, Allen, HL, Savic, S, Alachkar, H, Antrobus, R, Baxendale, HE, Browning, MJ, Buckland, MS, Cooper, N, Edgar, JDM, Egner, W, Gilmour, KC, Goddard, S, Gordins, P, Grigoriadou, S, Hackett, S, Hague, R, Hayman, G, Herwadkar, A, Huissoon, AP, Jolles, S, Kelleher, P, Kumararatne, D, Longhurst, H, Lorenzo, LE, Lyons, PA, Maimaris, J, Noorani, S, Richter, A, Sargur, RB, Sewell, WAC, Thomas, D, Thomas, MJ, Worth, A, Yong, PFK, Kuijpers, TW, Thrasher, AJ, Levine, AP, Sadeghi-Alavijeh, O, Wong, EKS, Cook, HT, Chan, MMY, Hall, M, Harris, C, McAlinden, P, Marchbank, KJ, Marks, S, Maxwell, H, Mozere, M, Wessels, J, Johnson, SA, Bleda, M, Hadinnapola, C, Haimel, M, Swietlik, E, Bogaard, H, Church, C, Coghlan, G, Condliffe, R, Corris, P, Danesino, C, Eyries, M, Gall, H, Ghofrani, H-A, Gibbs, JSR, Girerd, B, Holden, S, Houweling, A, Howard, LS, Humbert, M, Kiely, DG, Kovacs, G, Lawrie, A, Ross, RVM, Moledina, S, Montani, D, Newnham, M, Olschewski, A, Olschewski, H, Peacock, A, Pepke-Zaba, J, Scelsi, L, Seeger, W, Soubrier, F, Suntharalingam, J, Toshner, M, Treacy, C, Trembath, R, Noordegraaf, AV, Waisfisz, Q, Wharton, J, Wilkins, MR, Wort, SJ, Graf, S, Louka, E, Roy, NB, Rao, A, Ancliff, P, Babbs, C, Layton, DM, Mead, AJ, O'Sullivan, J, Okoli, S, Saleem, M, Bierzynska, A, Diz, CB, Colby, E, Ekani, MN, Satchell, S, Fowler, T, Rendon, A, Scott, R, Smedley, D, Thomas, E, Caulfield, M, Abbs, S, Burrows, N, Chitre, M, Gattens, M, Gurnell, M, Kelsall, W, Poole, KES, Ross-Russell, R, Spasic-Boskovic, O, Twiss, P, Wagner, A, Banka, S, Clayton-Smith, J, Douzgou, S, Abulhoul, L, Aurora, P, Bockenhauer, D, Cleary, M, Dattani, M, Ganesan, V, Pilkington, C, Rahman, S, Shah, N, Wedderburn, L, Compton, CJ, Deshpande, C, Fassihi, H, Haque, E, Josifova, D, Mohammed, SN, Robert, L, Rose, SJ, Ruddy, DM, Sarkany, RN, Sayer, G, Shaw, AC, Campbell, C, Gibson, K, Koelling, N, Lester, T, Nemeth, AH, Palles, C, Patel, S, Sen, A, Taylor, J, Tomlinson, IP, Malka, S, Browning, AC, Burn, J, De Soyza, A, Graham, J, Pearce, S, Quinton, R, Schaefer, AM, Wilson, BT, Wright, M, Simpson, M, Syrris, P, Bradley, JR, Turro, E, ARD - Amsterdam Reproduction and Development, AII - Inflammatory diseases, Paediatric Infectious Diseases / Rheumatology / Immunology, Medical Research Council (MRC), Wellcome Trust, Wei, Wei [0000-0002-2945-3543], Tuna, Salih [0000-0003-3606-4367], Smith, Katherine R [0000-0002-0329-5938], Beales, Phil L [0000-0002-9164-9782], Bennett, David L [0000-0002-7996-2696], Gale, Daniel P [0000-0002-9170-1579], Brennan, Paul [0000-0003-1128-6254], Elliott, Perry [0000-0003-3383-3984], Floto, R Andres [0000-0002-2188-5659], Houlden, Henry [0000-0002-2866-7777], Koziell, Ania [0000-0003-4882-0246], Maher, Eamonn R [0000-0002-6226-6918], Markus, Hugh S [0000-0002-9794-5996], Morrell, Nicholas W [0000-0001-5700-9792], Newman, William G [0000-0002-6382-4678], Sayer, John A [0000-0003-1881-3782], Smith, Kenneth GC [0000-0003-3829-4326], Taylor, Jenny C [0000-0003-3602-5704], Watkins, Hugh [0000-0002-5287-9016], Webster, Andrew R [0000-0001-6915-9560], Wilkie, Andrew OM [0000-0002-2972-5481], Penkett, Christopher J [0000-0003-4006-7261], Stirrups, Kathleen E [0000-0002-6823-3252], Rendon, Augusto [0000-0001-8994-0039], Bradley, John R [0000-0002-7774-8805], Turro, Ernest [0000-0002-1820-6563], Chinnery, Patrick F [0000-0002-7065-6617], and Apollo - University of Cambridge Repository
- Subjects
0301 basic medicine ,Non-Mendelian inheritance ,Genome ,Mitochondrial/genetics ,DNA, Mitochondrial/genetics ,0302 clinical medicine ,Ovum/growth & development ,MTDNA ,TRANSCRIPTION ,Genetics ,education.field_of_study ,Multidisciplinary ,NIHR BioResource–Rare Diseases ,ASSOCIATION ,Heteroplasmy ,Mitochondrial ,Multidisciplinary Sciences ,GENOME ,REPLACEMENT ,Science & Technology - Other Topics ,Female ,Maternal Inheritance ,Mitochondrial DNA ,General Science & Technology ,Genetic genealogy ,Population ,Biology ,Human mitochondrial genetics ,SEQUENCE ,DNA, Mitochondrial ,03 medical and health sciences ,Genetic ,100,000 Genomes Project–Rare Diseases Pilot ,Genetic variation ,MD Multidisciplinary ,Humans ,Selection, Genetic ,education ,Selection ,Ovum ,Science & Technology ,MUTATIONS ,Genetic Variation ,DNA ,LEIGH-DISEASE ,030104 developmental biology ,REPLICATION ,Genome, Mitochondrial ,HETEROPLASMY ,030217 neurology & neurosurgery - Abstract
INTRODUCTION Only 2.4% of the 16.5-kb mitochondrial DNA (mtDNA) genome shows homoplasmic variation at >1% frequency in humans. Migration patterns have contributed to geographic differences in the frequency of common genetic variants, but population genetic evidence indicates that selection shapes the evolving mtDNA phylogeny. The mechanism and timing of this process are not clear. Unlike the nuclear genome, mtDNA is maternally transmitted and there are many copies in each cell. Initially, a new genetic variant affects only a proportion of the mtDNA (heteroplasmy). During female germ cell development, a reduction in the amount of mtDNA per cell causes a “genetic bottleneck,” which leads to rapid segregation of mtDNA molecules and different levels of heteroplasmy between siblings. Although heteroplasmy is primarily governed by random genetic drift, there is evidence of selection occurring during this process in animals. Yet it has been difficult to demonstrate this convincingly in humans. RATIONALE To determine whether there is selection for or against heteroplasmic mtDNA variants during transmission, we studied 12,975 whole-genome sequences, including 1526 mother–offspring pairs of which 45.1% had heteroplasmy affecting >1% of mtDNA molecules. Harnessing both the mtDNA and nuclear genome sequences, we then determined whether the nuclear genetic background influenced mtDNA heteroplasmy, validating our findings in another 40,325 individuals. RESULTS Previously unknown mtDNA variants were less likely to be inherited than known variants, in which the level of heteroplasmy tended to increase on transmission. Variants in the ribosomal RNA genes were less likely to be transmitted, whereas variants in the noncoding displacement (D)–loop were more likely to be transmitted. MtDNA variants predicted to affect the protein sequence tended to have lower heteroplasmy levels than synonymous variants. In 12,975 individuals, we identified a correlation between the location of heteroplasmic sites and known D-loop polymorphisms, including the absence of variants in critical sites required for mtDNA transcription and replication. We defined 206 unrelated individuals for which the nuclear and mitochondrial genomes were from different human populations. In these individuals, new population-specific heteroplasmies were more likely to match the nuclear genetic ancestry than the mitochondrial genome on which the mutations occurred. These findings were independently replicated in 654 additional unrelated individuals. CONCLUSION The characteristics of mtDNA in the human population are shaped by selective forces acting on heteroplasmy within the female germ line and are influenced by the nuclear genetic background. The signature of selection can be seen over one generation, ensuring consistency between these two independent genetic systems.
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- 2019
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9. Low-frequency variation in TP53 has large effects on head circumference and intracranial volume
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Haworth, S, Shapland, CY, Hayward, C, Prins, BP, Felix, JF, Medina-Gomez, C, Rivadeneira, F, Wang, C, Ahluwalia, TS, Vrijheid, M, Guxens, M, Sunyer, J, Tachmazidou, I, Walter, K, Iotchkova, V, Jackson, A, Cleal, L, Huffmann, J, Min, JL, Sass, L, Timmers, PRHJ, Al Turki, S, Anderson, CA, Anney, R, Antony, D, Artigas, MS, Ayub, M, Bala, S, Barrett, JC, Barroso, I, Beales, P, Bentham, J, Bhattacharya, S, Birney, E, Blackwood, D, Bobrow, M, Bochukova, E, Bolton, PF, Bounds, R, Boustred, C, Breen, G, Calissano, M, Carss, K, Charlton, R, Chatterjee, K, Chen, L, Ciampi, A, Cirak, S, Clapham, P, Clement, G, Coates, G, Cocca, M, Collier, DA, Cosgrove, C, Cox, T, Craddock, N, Crooks, L, Curran, S, Curtis, D, Daly, A, Danecek, P, Day, INM, Day-Williams, A, Dominiczak, A, Down, T, Du, Y, Dunham, I, Durbin, R, Edkins, S, Ekong, R, Ellis, P, Evans, DM, Farooqi, IS, Fitzpatrick, DR, Flicek, P, Floyd, J, Foley, AR, Franklin, CS, Futema, M, Gallagher, L, Gaunt, TR, Geihs, M, Geschwind, D, Greenwood, CMT, Griffin, H, Grozeva, D, Guo, X, Gurling, H, Hart, D, Hendricks, AE, Holmans, P, Howie, B, Huang, J, Huang, L, Hubbard, T, Humphries, SE, Hurles, ME, Hysi, P, Jackson, DK, Jamshidi, Y, Joyce, C, Karczewski, KJ, Kaye, J, Keane, T, Kemp, JP, Kennedy, K, Kent, A, Keogh, J, Khawaja, F, van Kogelenberg, M, Kolb-Kokocinski, A, Lachance, G, Langford, C, Lawson, D, Lee, I, Lek, M, Li, R, Li, Y, Liang, J, Lin, H, Liu, R, Lonnqvist, J, Lopes, LR, Lopes, M, MacArthur, DG, Mangino, M, Marchini, J, Marenne, G, Maslen, J, Mathieson, I, McCarthy, S, McGuffin, P, McIntosh, AM, McKechanie, AG, McQuillin, A, Memari, Y, Metrustry, S, Migone, N, Mitchison, HM, Moayyeri, A, Morris, A, Morris, J, Muddyman, D, Muntoni, F, Northstone, K, O'Donovan, MC, O'Rahilly, S, Onoufriadis, A, Oualkacha, K, Owen, MJ, Palotie, A, Panoutsopoulou, K, Parker, V, Parr, JR, Paternoster, L, Paunio, T, Payne, F, Payne, SJ, Perry, JRB, Pietilainen, O, Plagnol, V, Pollitt, RC, Porteous, DJ, Povey, S, Quail, MA, Quaye, L, Raymond, FL, Rehnstrom, K, Richards, JB, Ridout, CK, Ring, S, Ritchie, GRS, Roberts, N, Robinson, RL, Savage, DB, Scambler, P, Schiffels, S, Schmidts, M, Schoenmakers, N, Scott, RH, Semple, RK, Serra, E, Sharp, SI, Shaw, A, Shihab, HA, Shin, S-Y, Skuse, D, Small, KS, Smee, C, Smith, BH, Soranzo, N, Southam, L, Spasic-Boskovic, O, Spector, TD, St Clair, D, Stalker, J, Stevens, E, Sun, J, Surdulescu, G, Suvisaari, J, Syrris, P, Taylor, R, Tian, J, Tobin, MD, Valdes, AM, Vandersteen, AM, Vijayarangakannan, P, Visscher, PM, Wain, LV, Walters, JTR, Wang, G, Wang, J, Wang, Y, Ward, K, Wheeler, E, Whyte, T, Williams, HJ, Williamson, KA, Wilson, C, Wilson, SG, Wong, K, Xu, C, Yang, J, Zhang, F, Zhang, P, Zheng, H-F, Smith, GD, Fisher, SE, Wilson, JF, Cole, TJ, Fernandez-Orth, D, Bonnelykke, K, Bisgaard, H, Pennell, CE, Jaddoe, VWV, Dedoussis, G, Timpson, N, Zeggini, E, Vitart, V, St Pourcain, B, UK10K Consortium, Epidemiology, Erasmus MC other, Pediatrics, Internal Medicine, and Child and Adolescent Psychiatry / Psychology
- Abstract
Cranial growth and development is a complex process which affects the closely related traits of head circumference (HC) and intracranial volume (ICV). The underlying genetic influences shaping these traits during the transition from childhood to adulthood are little understood, but might include both age-specific genetic factors and low-frequency genetic variation. Here, we model the developmental genetic architecture of HC, showing this is genetically stable and correlated with genetic determinants of ICV. Investigating up to 46,000 children and adults of European descent, we identify association with final HC and/or final ICV + HC at 9 novel common and low-frequency loci, illustrating that genetic variation from a wide allele frequency spectrum contributes to cranial growth. The largest effects are reported for low-frequency variants within TP53, with 0.5 cm wider heads in increaser-allele carriers versus non-carriers during mid-childhood, suggesting a previously unrecognized role of TP53 transcripts in human cranial development.
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- 2019
10. Low-frequency variation in TP53 has large effects on head circumference and intracranial volume
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Haworth, S., Shapland, C.Y., Hayward, C. (Caroline), Prins, B.P. (Bram), Felix, J.F. (Janine), Medina-Gomez, M.C. (Carolina), Rivadeneira Ramirez, F. (Fernando), Wang, C., Ahluwalia, TS, Vrijheid, M. (Martine), Guxens Junyent, M. (Mònica), Sunyer, J. (Jordi), Tachmazidou, I, Walter, K., Iotchkova, V, Jackson, A.U. (Anne), Cleal, L., Huffmann, J., Min, J. (Josine), Sass, L., Timmers, P, Al Turki, S., Anderson, CA, Anney, R. (Richard), Antony, D, Soler Artigas, M. (Maria), Ayub, M, Bala, S, Barrett, JC, Barroso, I.E. (Inês), Beales, P., Bentham, J, Bhattacharya, S. (Shoumo), Birney, E. (Ewan), Blackwood, D, Bobrow, M, Bochukova, E, Bolton, PF, Bounds, R, Boustred, C, Breen, G. (Gerome), Calissano, M, Carss, K, Charlton, R, Chatterjee, K. (Krishna), Chen, L. (Leslie), Ciampi, A. (Antonio), Cirak, S, Clapham, P, Clement, G, Coates, G, Cocca, M, Collier, D.A. (David), Cosgrove, C, Cox, T. (Tessa), Craddock, N.J. (Nick), Crooks, L, Curran, S, Curtis, D. (David), Daly, A, Danecek, P, Day, I.N.M. (Ian), Day-Williams, A, Dominiczak, A. (Anna), Down, T, Li, Y. (Yingrui), Dunham, D.M. (David), Durbin, R, Edkins, T. (Ted), Ekong, R. (Rosemary), Ellis, P. (Paul), Evans, D.M. (David), Farooqi, I.S. (Sadaf), Fitzpatrick, D.R. (David), Flicek, P, Floyd, J. (Jamie), Foley, AR, Franklin, C.S. (Christopher), Futema, M, Gallagher, L. (Louise), Gaunt, T.R. (Tom), Geihs, M, Geschwind, D., Greenwood, J.P. (John), Griffin, H, Grozeva, D. (Detelina), Guo, X.S., Guo, X. (Xiuqing), Gurling, H. (Hugh), Hart, D.J. (Deborah), Hendricks, AE, Holmans, P.A. (Peter), Howie, B, Huang, J. (Jian), Huang, L.R., Hubbard, T., Humphries, S.E. (Steve), Hurles, M.E. (Matthew), Hysi, P.G. (Pirro), Jackson, DK, Jamshidi, Y. (Yalda), Joyce, C, Karczewski, KJ, Kaye, J. (Jane), Keane, T, Kemp, J.P., Kennedy, K. (Karen), Kent, A. (Alistair), Keogh, J, Khawaja, F, van Kogelenberg, M., Kolb-Kokocinski, A, Lachance, G, Langford, C. (Cordelia), Lawson, D, Lee, I. van der, Lek, M, Li, R. (Rui), Li, Y.R. (Yun), Liang, J.Q., Lin, H., Liu, R, Lonnqvist, J, Lopes, LR, Lopes, M., MacArthur, DG, Mangino, M. (Massimo), Marchini, J. (Jonathan), Marenne, G., Maslen, J., Mathieson, I. (Iain), McCarthy, S. (Sean), Mcguffin, P. (Peter), Mcintosh, A.M. (Andrew), McKechanie, AG, McQuillin, A. (Andrew), Memari, Y, Metrustry, S. (Sarah), Migone, N, Mitchison, H.M. (Hannah), Moayyeri, A. (Alireza), Morris, A.D. (Andrew), Morris, J, Muddyman, D, Muntoni, F., Northstone, K. (Kate), O'Donovan, M. (Michael), O'Rahilly, S. (Stephen), Onoufriadis, A, Oualkacha, K., Owen, M.J., Palotie, A. (Aarno), Panoutsopoulou, K, Parker, V., Parr, D., Paternoster, L. (Lavinia), Paunio, T, Payne, F. (Felicity), Payne, SJ, Perry, J.B. (John), Pietiläinen, O.P.H. (Olli), Plagnol, V, Pollitt, RC, Porteous, D.J. (David J.), Povey, S. (Sue), Quail, MA, Quaye, L. (Lydia), Raymond, FL, Rehnström, K. (Karola), Richards, J.B. (Brent), Ridout, CK, Ring, S.M. (Susan), Ritchie, GRS, Roberts, N. (Nicola), Robinson, RL, Savage, D.B. (David), Scambler, P., Schiffels, S, Schmidts, M, Schoenmakers, N. (Nadia), Scott, RH, Semple, R.K. (Robert), Serra, E, Sharp, S.I., Shaw, A. (Alison), Shihab, HA, Shin, S.-Y., Skuse, D, Small, K.S. (Kerrin), Smee, C, Smith, B.H. (Blair), Soranzo, N. (Nicole), Southam, L. (Lorraine), Spasic-Boskovic, O, Spector, T.D. (Timothy), St. Clair, D. (David), Stalker, J, Stevens, E, Sun, J.P., Surdulescu, G, Suvisaari, J. (Jaana), Syrris, P, R. Taylor (Rohan), Tian, J., Tobin, M.D. (Martin), Valdes, A.M. (Ana Maria), Vandersteen, AM, Vijayarangakannan, P, Visscher, P.M. (Peter), Wain, L.V. (Louise), Walters, JTR, Wang, G. B., Wang, J. (Jinxia), Wang, Y. (Ying), Ward, K, Wheeler, E. (Eleanor), Whyte, T, Williams, HJ, Williamson, K.A., Wilson, C, Wilson, S.G. (Scott), Wong, K. (Kenny), Xu, CJ, Yang, J. (Jian), Zhang, F. (Feng), Zhang, P.B., Zheng, H.-F. (Hou-Feng), Smith, A.V. (Davey), Fisher, SE, Wilson, J.F. (James F), Cole, T.J. (T.), Fernandez-Orth, D., Bønnelykke, K. (Klaus), Bisgaard, H. (Hans), Pennell, C.E. (Craig), Jaddoe, V.W.V. (Vincent), Dedoussis, G, Timpson, N.J. (Nicholas), Zeggini, E. (Eleftheria), Vitart, V. (Veronique), Pourcain, B.S. (Beate), Haworth, S., Shapland, C.Y., Hayward, C. (Caroline), Prins, B.P. (Bram), Felix, J.F. (Janine), Medina-Gomez, M.C. (Carolina), Rivadeneira Ramirez, F. (Fernando), Wang, C., Ahluwalia, TS, Vrijheid, M. (Martine), Guxens Junyent, M. (Mònica), Sunyer, J. (Jordi), Tachmazidou, I, Walter, K., Iotchkova, V, Jackson, A.U. (Anne), Cleal, L., Huffmann, J., Min, J. (Josine), Sass, L., Timmers, P, Al Turki, S., Anderson, CA, Anney, R. (Richard), Antony, D, Soler Artigas, M. (Maria), Ayub, M, Bala, S, Barrett, JC, Barroso, I.E. (Inês), Beales, P., Bentham, J, Bhattacharya, S. (Shoumo), Birney, E. (Ewan), Blackwood, D, Bobrow, M, Bochukova, E, Bolton, PF, Bounds, R, Boustred, C, Breen, G. (Gerome), Calissano, M, Carss, K, Charlton, R, Chatterjee, K. (Krishna), Chen, L. (Leslie), Ciampi, A. (Antonio), Cirak, S, Clapham, P, Clement, G, Coates, G, Cocca, M, Collier, D.A. (David), Cosgrove, C, Cox, T. (Tessa), Craddock, N.J. (Nick), Crooks, L, Curran, S, Curtis, D. (David), Daly, A, Danecek, P, Day, I.N.M. (Ian), Day-Williams, A, Dominiczak, A. (Anna), Down, T, Li, Y. (Yingrui), Dunham, D.M. (David), Durbin, R, Edkins, T. (Ted), Ekong, R. (Rosemary), Ellis, P. (Paul), Evans, D.M. (David), Farooqi, I.S. (Sadaf), Fitzpatrick, D.R. (David), Flicek, P, Floyd, J. (Jamie), Foley, AR, Franklin, C.S. (Christopher), Futema, M, Gallagher, L. (Louise), Gaunt, T.R. (Tom), Geihs, M, Geschwind, D., Greenwood, J.P. (John), Griffin, H, Grozeva, D. (Detelina), Guo, X.S., Guo, X. (Xiuqing), Gurling, H. (Hugh), Hart, D.J. (Deborah), Hendricks, AE, Holmans, P.A. (Peter), Howie, B, Huang, J. (Jian), Huang, L.R., Hubbard, T., Humphries, S.E. (Steve), Hurles, M.E. (Matthew), Hysi, P.G. (Pirro), Jackson, DK, Jamshidi, Y. (Yalda), Joyce, C, Karczewski, KJ, Kaye, J. (Jane), Keane, T, Kemp, J.P., Kennedy, K. (Karen), Kent, A. (Alistair), Keogh, J, Khawaja, F, van Kogelenberg, M., Kolb-Kokocinski, A, Lachance, G, Langford, C. (Cordelia), Lawson, D, Lee, I. van der, Lek, M, Li, R. (Rui), Li, Y.R. (Yun), Liang, J.Q., Lin, H., Liu, R, Lonnqvist, J, Lopes, LR, Lopes, M., MacArthur, DG, Mangino, M. (Massimo), Marchini, J. (Jonathan), Marenne, G., Maslen, J., Mathieson, I. (Iain), McCarthy, S. (Sean), Mcguffin, P. (Peter), Mcintosh, A.M. (Andrew), McKechanie, AG, McQuillin, A. (Andrew), Memari, Y, Metrustry, S. (Sarah), Migone, N, Mitchison, H.M. (Hannah), Moayyeri, A. (Alireza), Morris, A.D. (Andrew), Morris, J, Muddyman, D, Muntoni, F., Northstone, K. (Kate), O'Donovan, M. (Michael), O'Rahilly, S. (Stephen), Onoufriadis, A, Oualkacha, K., Owen, M.J., Palotie, A. (Aarno), Panoutsopoulou, K, Parker, V., Parr, D., Paternoster, L. (Lavinia), Paunio, T, Payne, F. (Felicity), Payne, SJ, Perry, J.B. (John), Pietiläinen, O.P.H. (Olli), Plagnol, V, Pollitt, RC, Porteous, D.J. (David J.), Povey, S. (Sue), Quail, MA, Quaye, L. (Lydia), Raymond, FL, Rehnström, K. (Karola), Richards, J.B. (Brent), Ridout, CK, Ring, S.M. (Susan), Ritchie, GRS, Roberts, N. (Nicola), Robinson, RL, Savage, D.B. (David), Scambler, P., Schiffels, S, Schmidts, M, Schoenmakers, N. (Nadia), Scott, RH, Semple, R.K. (Robert), Serra, E, Sharp, S.I., Shaw, A. (Alison), Shihab, HA, Shin, S.-Y., Skuse, D, Small, K.S. (Kerrin), Smee, C, Smith, B.H. (Blair), Soranzo, N. (Nicole), Southam, L. (Lorraine), Spasic-Boskovic, O, Spector, T.D. (Timothy), St. Clair, D. (David), Stalker, J, Stevens, E, Sun, J.P., Surdulescu, G, Suvisaari, J. (Jaana), Syrris, P, R. Taylor (Rohan), Tian, J., Tobin, M.D. (Martin), Valdes, A.M. (Ana Maria), Vandersteen, AM, Vijayarangakannan, P, Visscher, P.M. (Peter), Wain, L.V. (Louise), Walters, JTR, Wang, G. B., Wang, J. (Jinxia), Wang, Y. (Ying), Ward, K, Wheeler, E. (Eleanor), Whyte, T, Williams, HJ, Williamson, K.A., Wilson, C, Wilson, S.G. (Scott), Wong, K. (Kenny), Xu, CJ, Yang, J. (Jian), Zhang, F. (Feng), Zhang, P.B., Zheng, H.-F. (Hou-Feng), Smith, A.V. (Davey), Fisher, SE, Wilson, J.F. (James F), Cole, T.J. (T.), Fernandez-Orth, D., Bønnelykke, K. (Klaus), Bisgaard, H. (Hans), Pennell, C.E. (Craig), Jaddoe, V.W.V. (Vincent), Dedoussis, G, Timpson, N.J. (Nicholas), Zeggini, E. (Eleftheria), Vitart, V. (Veronique), and Pourcain, B.S. (Beate)
- Abstract
Cranial growth and development is a complex process which affects the closely related traits of head circumference (HC) and intracranial volume (ICV). The underlying genetic influences shaping these traits during the transition from childhood to adulthood are little understood, but might include both age-specific genetic factors and low-frequency genetic variation. Here, we model the developmental genetic architecture of HC, showing this is genetically stable and correlated with genetic determinants of ICV. Investigating up to 46,000 children and adults of European descent, we identify association with final HC and/or final ICV + HC at 9 novel common and low-frequency loci, illustrating that genetic variation from a wide allele frequency spectrum contributes to cranial growth. The largest effects are reported for lowfrequency variants within TP53, with 0.5 cm wider heads in increaser-allele carriers versus non-carrie
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- 2019
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11. Comprehensive cancer-predisposition gene testing in an adult multiple primary tumor series shows a broad range of deleterious variants and atypical tumor phenotypes
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Whitworth, J, Smith, PS, Martin, J-E, West, H, Luchetti, A, Rodger, F, Clark, G, Carss, K, Stephens, J, Stirrups, K, Penkett, C, Mapeta, R, Ashford, S, Megy, K, Shakeel, H, Ahmed, M, Adlard, J, Barwell, J, Brewer, C, Casey, RT, Armstrong, R, Cole, T, Evans, DG, Fostira, F, Greenhalgh, L, Hanson, H, Henderson, A, Hoffman, J, Izatt, L, Kumar, A, Kwong, A, Lalloo, F, Ong, KR, Paterson, J, Park, S-M, Chen-Shtoyerman, R, Searle, C, Side, L, Skytte, A-B, Snape, K, Woodward, ER, Tischkowitz, MD, Maher, ER, Aitman, T, Alachkar, H, Ali, S, Allen, L, Allsup, D, Ambegaonkar, G, Anderson, J, Antrobus, R, Arno, G, Arumugakani, G, Astle, W, Attwood, A, Austin, S, Bacchelli, C, Bakchoul, T, Bariana, TK, Baxendale, H, Bennett, D, Bethune, C, Bibi, S, Bitner-Glindzicz, M, Bleda, M, Boggard, H, Bolton-Maggs, P, Booth, C, Bradley, JR, Brady, A, Brown, M, Browning, M, Bryson, C, Burns, S, Calleja, P, Canham, N, Carmichael, J, Caulfield, M, Chalmers, E, Chandra, A, Chinnery, P, Chitre, M, Church, C, Clement, E, Clements-Brod, N, Clowes, V, Coghlan, G, Collins, P, Cookson, V, Cooper, N, Corris, P, Creaser-Myers, A, Dacosta, R, Daugherty, L, Davies, S, Davis, J, De Vries, M, Deegan, P, Deevi, SVV, Deshpande, C, Devlin, L, Dewhurst, E, Dixon, P, Doffinger, R, Dormand, N, Drewe, E, Edgar, D, Egner, W, Erber, WN, Erwood, M, Everington, T, Favier, R, Firth, H, Fletcher, D, Flinter, F, Frary, A, Freson, K, Furie, B, Furnell, A, Gale, D, Gardham, A, Gattens, M, Ghali, N, Ghataorhe, PK, Ghurye, R, Gibbs, S, Gilmour, K, Gissen, P, Goddard, S, Gomez, K, Gordins, P, Graf, S, Gräf, S, Greene, D, Greenhalgh, A, Greinacher, A, Grigoriadou, S, Grozeva, D, Hackett, S, Hadinnapola, C, Hague, R, Haimel, M, Halmagyi, C, Hammerton, T, Hart, D, Hayman, G, Heemskerk, JWM, Henderson, R, Hensiek, A, Henskens, Y, Herwadkar, A, Holden, S, Holder, M, Holder, S, Hu, F, Veld, A, Huissoon, A, Humbert, M, Hurst, J, James, R, Jolles, S, Josifova, D, Kazmi, R, Keeling, D, Kelleher, P, Kelly, AM, Kennedy, F, Kiely, D, Kingston, N, Koziell, A, Krishnakumar, D, Kuijpers, TW, Kuijpers, T, Kumararatne, D, Kurian, M, Laffan, MA, Lambert, MP, Allen, HL, Lango-Allen, H, Lawrie, A, Lear, S, Lees, M, Lentaigne, C, Liesner, R, Linger, R, Longhurst, H, Lorenzo, L, Louka, E, Machado, R, Ross, RM, Maclaren, R, Maher, E, Maimaris, J, Mangles, S, Manson, A, Markus, HS, Martin, J, Masati, L, Mathias, M, Matser, V, Maw, A, McDermott, E, McJannet, C, Meacham, S, Meehan, S, Mehta, S, Michaelides, M, Millar, CM, Moledina, S, Moore, A, Morrell, N, Mumford, A, Murng, S, Murphy, E, Nejentsev, S, Noorani, S, Nurden, P, Oksenhendler, E, Othman, S, Ouwehand, WH, Papadia, S, Parker, A, Pasi, J, Patch, C, Payne, J, Peacock, A, Peerlinck, K, Penkett, CJ, Pepke-Zaba, J, Perry, D, Perry, DJ, Pollock, V, Polwarth, G, Ponsford, M, Qasim, W, Quinti, I, Rankin, S, Rankin, J, Raymond, FL, Rayner-Matthews, P, Rehnstrom, K, Reid, E, Rhodes, CJ, Richards, M, Richardson, S, Richter, A, Roberts, I, Rondina, M, Rosser, E, Roughley, C, Roy, N, Rue-Albrecht, K, Samarghitean, C, Sanchis-Juan, A, Sandford, R, Santra, S, Sargur, R, Savic, S, Schotte, G, Schulman, S, Schulze, H, Scott, R, Scully, M, Seneviratne, S, Sewell, C, Shamardina, O, Shipley, D, Simeoni, I, Sivapalaratnam, S, Smith, KGC, Sohal, A, Southgate, L, Staines, S, Staples, E, Stark, H, Stauss, H, Stein, P, Stock, S, Suntharalingam, J, Talks, K, Tan, Y, Thachil, J, Thaventhiran, J, Thomas, E, Thomas, M, Thompson, D, Thrasher, A, Tischkowitz, M, Titterton, C, Toh, C-H, Toshner, M, Treacy, C, Trembath, R, Tuna, S, Turek, W, Turro, E, Van Geet, C, Veltman, M, Vogt, J, Von Ziegenweldt, J, Noordegraaf, AV, Wakeling, E, Wanjiku, I, Warner, TQ, Wassmer, E, Watkins, H, Watt, C, Webster, N, Welch, S, Westbury, S, Wharton, J, Whitehorn, D, Wilkins, M, Willcocks, L, Williamson, C, Woods, G, Wort, J, Yeatman, N, Yong, P, Young, T, and Yu, P
- Abstract
Multiple primary tumors (MPTs) affect a substantial proportion of cancer survivors and can result from various causes, including inherited predisposition. Currently, germline genetic testing of MPT-affected individuals for variants in cancer-predisposition genes (CPGs) is mostly targeted by tumor type. We ascertained pre-assessed MPT individuals (with at least two primary tumors by age 60 years or at least three by 70 years) from genetics centers and performed whole-genome sequencing (WGS) on 460 individuals from 440 families. Despite previous negative genetic assessment and molecular investigations, pathogenic variants in moderate- and high-risk CPGs were detected in 67/440 (15.2%) probands. WGS detected variants that would not be (or were not) detected by targeted resequencing strategies, including low-frequency structural variants (6/440 [1.4%] probands). In most individuals with a germline variant assessed as pathogenic or likely pathogenic (P/LP), at least one of their tumor types was characteristic of variants in the relevant CPG. However, in 29 probands (42.2% of those with a P/LP variant), the tumor phenotype appeared discordant. The frequency of individuals with truncating or splice-site CPG variants and at least one discordant tumor type was significantly higher than in a control population (χ2 = 43.642; p ≤ 0.0001). 2/67 (3%) probands with P/LP variants had evidence of multiple inherited neoplasia allele syndrome (MINAS) with deleterious variants in two CPGs. Together with variant detection rates from a previous series of similarly ascertained MPT-affected individuals, the present results suggest that first-line comprehensive CPG analysis in an MPT cohort referred to clinical genetics services would detect a deleterious variant in about a third of individuals.
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- 2018
12. Publisher Correction: Telomerecat: A ploidy-agnostic method for estimating telomere length from whole genome sequencing data
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Farmery, JHR, Smith, ML, Lynch, AG, Huissoon, A, Furnell, A, Mead, A, Levine, AP, Manzur, A, Thrasher, A, Greenhalgh, A, Parker, A, Sanchis-Juan, A, Richter, A, Gardham, A, Lawrie, A, Sohal, A, Creaser-Myers, A, Frary, A, Greinacher, A, Themistocleous, A, Peacock, AJ, Marshall, A, Mumford, A, Rice, A, Webster, A, Brady, A, Koziell, A, Manson, A, Chandra, A, Hensiek, A, In't Veld, AH, Maw, A, Kelly, AM, Moore, A, Noordegraaf, AV, Attwood, A, Herwadkar, A, Ghofrani, A, Houweling, AC, Girerd, B, Furie, B, Treacy, CM, Millar, CM, Sewell, C, Roughley, C, Titterton, C, Williamson, C, Hadinnapola, C, Deshpande, C, Toh, C-H, Bacchelli, C, Patch, C, Van Geet, C, Babbs, C, Bryson, C, Penkett, CJ, Rhodes, CJ, Watt, C, Bethune, C, Booth, C, Lentaigne, C, McJannet, C, Church, C, French, C, Samarghitean, C, Halmagyi, C, Gale, D, Greene, D, Hart, D, Allsup, D, Bennett, D, Edgar, D, Kiely, DG, Gosal, D, Perry, DJ, Keeling, D, Montani, D, Shipley, D, Whitehorn, D, Fletcher, D, Krishnakumar, D, Grozeva, D, Kumararatne, D, Thompson, D, Josifova, D, Maher, E, Wong, EKS, Murphy, E, Dewhurst, E, Louka, E, Rosser, E, Chalmers, E, Colby, E, Drewe, E, McDermott, E, Thomas, E, Staples, E, Clement, E, Matthews, E, Wakeling, E, Oksenhendler, E, Turro, E, Reid, E, Wassmer, E, Raymond, FL, Hu, F, Kennedy, F, Soubrier, F, Flinter, F, Kovacs, G, Polwarth, G, Ambegaonkar, G, Arno, G, Hudson, G, Woods, G, Coghlan, G, Hayman, G, Arumugakani, G, Schotte, G, Cook, HT, Alachkar, H, Allen, HL, Lango-Allen, H, Stark, H, Stauss, H, Schulze, H, Boggard, HJ, Baxendale, H, Dolling, H, Firth, H, Gall, H, Watson, H, Longhurst, H, Markus, HS, Watkins, H, Simeoni, I, Emmerson, I, Roberts, I, Quinti, I, Wanjiku, I, Gibbs, JSR, Thaventhiran, J, Whitworth, J, Hurst, J, Collins, J, Suntharalingam, J, Payne, J, Thachil, J, Martin, JM, Martin, J, Carmichael, J, Maimaris, J, Paterson, J, Pepke-Zaba, J, Heemskerk, JWM, Gebhart, J, Davis, J, Pasi, J, Bradley, JR, Wharton, J, Stephens, J, Rankin, J, Anderson, J, Vogt, J, Von Ziegenweldt, J, Rehnstrom, K, Megy, K, Talks, K, Peerlinck, K, Yates, K, Freson, K, Stirrups, K, Gomez, K, Smith, KGC, Carss, K, Rue-Albrecht, K, Gilmour, K, Masati, L, Scelsi, L, Southgate, L, Ranganathan, L, Ginsberg, L, Devlin, L, Willcocks, L, Ormondroyd, L, Lorenzo, L, Harper, L, Allen, L, Daugherty, L, Chitre, M, Kurian, M, Humbert, M, Tischkowitz, M, Bitner-Glindzicz, M, Erwood, M, Scully, M, Veltman, M, Caulfield, M, Layton, M, McCarthy, M, Ponsford, M, Toshner, M, Bleda, M, Wilkins, M, Mathias, M, Reilly, M, Afzal, M, Brown, M, Rondina, M, Stubbs, M, Haimel, M, Lees, M, Laffan, MA, Browning, M, Gattens, M, Richards, M, Michaelides, M, Lambert, MP, Makris, M, De Vries, M, Mahdi-Rogers, M, Saleem, M, Thomas, M, Holder, M, Eyries, M, Clements-Brod, N, Canham, N, Dormand, N, Van Zuydam, N, Kingston, N, Ghali, N, Cooper, N, Morrell, NW, Yeatman, N, Roy, N, Shamardina, O, Alavijeh, OS, Gresele, P, Nurden, P, Chinnery, P, Deegan, P, Yong, P, Yu-Wai-Man, P, Corris, PA, Calleja, P, Gissen, P, Bolton-Maggs, P, Rayner-Matthews, P, Ghataorhe, PK, Gordins, P, Stein, P, Collins, P, Dixon, P, Kelleher, P, Ancliff, P, Yu, P, Tait, RC, Linger, R, Doffinger, R, Machado, R, Kazmi, R, Sargur, R, Favier, R, Tan, R, Liesner, R, Antrobus, R, Sandford, R, Scott, R, Trembath, R, Horvath, R, Hadden, R, MackenzieRoss, RV, Henderson, R, MacLaren, R, James, R, Ghurye, R, DaCosta, R, Hague, R, Mapeta, R, Armstrong, R, Noorani, S, Murng, S, Santra, S, Tuna, S, Johnson, S, Chong, S, Lear, S, Walker, S, Goddard, S, Mangles, S, Westbury, S, Mehta, S, Hackett, S, Nejentsev, S, Moledina, S, Bibi, S, Meehan, S, Othman, S, Revel-Vilk, S, Holden, S, McGowan, S, Staines, S, Savic, S, Burns, S, Grigoriadou, S, Papadia, S, Ashford, S, Schulman, S, Ali, S, Park, S-M, Davies, S, Stock, S, Deevi, SVV, Graf, S, Ghio, S, Wort, SJ, Jolles, S, Austin, S, Welch, S, Meacham, S, Rankin, S, Seneviratne, S, Holder, S, Sivapalaratnam, S, Richardson, S, Kuijpers, T, Kuijpers, TW, Bariana, TK, Bakchoul, T, Everington, T, Renton, T, Young, T, Aitman, T, Warner, TQ, Vale, T, Hammerton, T, Pollock, V, Matser, V, Cookson, V, Clowes, V, Qasim, W, Wei, W, Erber, WN, Ouwehand, WH, Astle, W, Egner, W, Turek, W, Henskens, Y, Tan, Y, Lynch, Andy G [0000-0002-7876-7338], Apollo - University of Cambridge Repository, Medical Research Council (MRC), and British Heart Foundation
- Subjects
Whole genome sequencing ,0303 health sciences ,Multidisciplinary ,Science & Technology ,lcsh:R ,lcsh:Medicine ,Computational biology ,Biology ,Telomere ,Multidisciplinary Sciences ,03 medical and health sciences ,0302 clinical medicine ,NIHR BioResource - Rare Diseases ,ComputingMethodologies_DOCUMENTANDTEXTPROCESSING ,Science & Technology - Other Topics ,lcsh:Q ,Ploidy ,lcsh:Science ,030217 neurology & neurosurgery ,030304 developmental biology - Abstract
Correction to: Scientific Reports https://doi.org/10.1038/s41598-017-14403-y, published online 22 January 2018 The original version of this Article contained a typographical error in the spelling of the consortium member Patrick Yu-Wai-Man which was incorrectly given as Patrick Yu Wai Man. In addition, a supplementary file containing additional algorithms and analysis was omitted from the original version of this Article. These errors have now been corrected in the HTML and PDF versions of the Article.
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- 2018
13. Variant Interpretation and Genomic Medicine
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Carss, K., primary, Goldstein, D., additional, Aggarwal, V., additional, and Petrovski, S., additional
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- 2019
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14. Detailed Clinical Phenotype and Molecular Genetic Findings in CLN3-Associated Isolated Retinal Degeneration
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Ku, CA, Hull, S, Arno, G, Vincent, A, Carss, K, Kayton, R, Weeks, D, Anderson, GW, Geraets, R, Parker, C, Pearce, DA, Michaelides, M, MacLaren, RE, Robson, AG, Holder, GE, Heon, E, Raymond, L, Moore, AT, Webster, AR, and Pennesi, ME
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Adult ,Male ,Membrane Glycoproteins ,Adolescent ,Retinal Degeneration ,DNA Mutational Analysis ,Visual Acuity ,DNA ,Middle Aged ,Ophthalmology & Optometry ,Pedigree ,Ophthalmoscopy ,Young Adult ,Phenotype ,Optical Coherence ,Opthalmology and Optometry ,Mutation ,Electroretinography ,Humans ,Female ,Tomography ,Tomography, Optical Coherence ,Molecular Chaperones ,Aged - Abstract
Importance:Mutations in genes traditionally associated with syndromic retinal disease are increasingly found to cause nonsyndromic inherited retinal degenerations. Mutations in CLN3 are classically associated with juvenile neuronal ceroid lipofuscinosis, a rare neurodegenerative disease with early retinal degeneration and progressive neurologic deterioration, but have recently also been identified in patients with nonsyndromic inherited retinal degenerations. To our knowledge, detailed clinical characterization of such cases has yet to be reported. Objective:To provide detailed clinical, electrophysiologic, structural, and molecular genetic findings in nonsyndromic inherited retinal degenerations associated with CLN3 mutations. Design, Setting, and Participants:A multi-institutional case series of 10 patients who presented with isolated nonsyndromic retinal disease and mutations in CLN3. Patient ages ranged from 16 to 70 years; duration of follow-up ranged from 3 to 29 years. Main Outcomes and Measures:Longitudinal clinical evaluation, including full ophthalmic examination, multimodal retinal imaging, perimetry, and electrophysiology. Molecular analyses were performed using whole-genome sequencing or whole-exome sequencing. Electron microscopy studies of peripheral lymphocytes and CLN3 transcript analysis with polymerase chain reaction amplification were performed in a subset of patients. Results:There were 7 females and 3 males in this case series, with a mean (range) age at last review of 37.1 (16-70) years. Of the 10 patients, 4 had a progressive late-onset rod-cone dystrophy, with a mean (range) age at onset of 29.7 (20-40) years, and 6 had an earlier onset rod-cone dystrophy, with a mean (range) age at onset of 12.1 (7-17) years. Ophthalmoscopic examination features included macular edema, mild intraretinal pigment migration, and widespread atrophy in advanced disease. Optical coherence tomography imaging demonstrated significant photoreceptor loss except in patients with late-onset disease who had a focal preservation of the ellipsoid zone and outer nuclear layer in the fovea. Electroretinography revealed a rod-cone pattern of dysfunction in 6 patients and were completely undetectable in 2 patients. Six novel CLN3 variants were identified in molecular analyses. Conclusions and Relevance:This report describes detailed clinical, imaging, and genetic features of CLN3-associated nonsyndromic retinal degeneration. The age at onset and natural progression of retinal disease differs greatly between syndromic and nonsyndromic CLN3 disease, which may be associated with genotypic differences.
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- 2017
15. Rare Variant Analysis of Human and Rodent Obesity Genes in Individuals with Severe Childhood Obesity
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Hendricks, AE, Bochukova, EG, Marenne, G, Keogh, JM, Atanassova, N, Bounds, R, Wheeler, E, Mistry, V, Henning, E, Körner, A, Muddyman, D, McCarthy, S, Hinney, A, Hebebrand, J, Scott, RA, Langenberg, C, Wareham, NJ, Surendran, P, Howson, JM, Butterworth, AS, Danesh, J, Nordestgaard, BG, Nielsen, SF, Afzal, S, Papadia, S, Ashford, S, Garg, S, Millhauser, GL, Palomino, RI, Kwasniewska, A, Tachmazidou, I, O'Rahilly, S, Zeggini, E, Barroso, I, Farooqi, IS, Benzeval, M, Burton, J, Buck, N, Jäckle, A, Kumari, M, Laurie, H, Lynn, P, Pudney, S, Rabe, B, Wolke, D, Overvad, K, Tjønneland, A, Clavel-Chapelon, F, Kaaks, R, Boeing, H, Trichopoulou, A, Ferrari, P, Palli, D, Krogha, V, Panico, S, Tuminoa, R, Matullo, G, Boer, J, Van Der Schouw, Y, Weiderpass, E, Quiros, JR, Sánchez, MJ, Navarro, C, Moreno-Iribas, C, Arriola, L, Melander, O, Wennberg, P, Key, TJ, Riboli, E, Turki, SA, Anderson, CA, Anney, R, Antony, D, Soler Artigas, M, Ayub, M, Bala, S, Barrett, JC, Beales, P, Bentham, J, Bhattacharyaa, S, Birney, E, Blackwooda, D, Bobrow, M, Bolton, PF, Boustred, C, Breen, G, Calissanoa, M, Carss, K, Charlton, R, Chatterjee, K, Chen, L, Ciampia, A, Cirak, S, Clapham, P, Clement, G, Coates, G, Coccaa, M, Collier, DA, Cosgrove, C, Coxa, T, and Crooks, Lucy
- Abstract
© 2017 The Author(s). Obesity is a genetically heterogeneous disorder. Using targeted and whole-exome sequencing, we studied 32 human and 87 rodent obesity genes in 2,548 severely obese children and 1,117 controls. We identified 52 variants contributing to obesity in 2% of cases including multiple novel variants in GNAS, which were sometimes found with accelerated growth rather than short stature as described previously. Nominally significant associations were found for rare functional variants in BBS1, BBS9, GNAS, MKKS, CLOCK and ANGPTL6. The p.S284X variant in ANGPTL6 drives the association signal (rs201622589, MAF∼0.1%, odds ratio = 10.13, p-value = 0.042) and results in complete loss of secretion in cells. Further analysis including additional case-control studies and population controls (N = 260,642) did not support association of this variant with obesity (odds ratio = 2.34, p-value = 2.59 × 10-3), highlighting the challenges of testing rare variant associations and the need for very large sample sizes. Further validation in cohorts with severe obesity and engineering the variants in model organisms will be needed to explore whether human variants in ANGPTL6 and other genes that lead to obesity when deleted in mice, do contribute to obesity. Such studies may yield druggable targets for weight loss therapies.
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- 2017
16. Specific Alleles of CLN7/MFSD8, a Protein That Localizes to Photoreceptor Synaptic Terminals, Cause a Spectrum of Nonsyndromic Retinal Dystrophy
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Khan, KN, El-Asrag, ME, Ku, CA, Holder, GE, McKibbin, M, Arno, G, Poulter, JA, Carss, K, Bommireddy, T, Bagheri, S, Bakall, B, Scholl, HP, Raymond, FL, Toomes, C, Inglehearn, CF, Pennesi, ME, Moore, AT, Michaelides, M, Webster, AR, Ali, M, and for NIHR BioResource-Rare Diseases and UK Inherited Retinal Dise
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genetic structures ,sense organs - Abstract
Purpose: Recessive mutations in CLN7/MFSD8 usually cause variant late-infantile onset neuronal ceroid lipofuscinosis (vLINCL), a poorly understood neurodegenerative condition, though mutations may also cause nonsyndromic maculopathy. A series of 12 patients with nonsyndromic retinopathy due to novel CLN7/MFSD8 mutation combinations were investigated in this study. Methods: Affected patients and their family members were recruited in ophthalmic clinics at each center where they were examined by retinal imaging and detailed electrophysiology. Whole exome or genome next generation sequencing was performed on genomic DNA from at least one affected family member. Immunofluorescence confocal microscopy of murine retina cross-sections were used to localize the protein. Results: Compound heterozygous alleles were identified in six cases, one of which was always p.Glu336Gln. Such combinations resulted in isolated macular disease. Six further cases were homozygous for the variant p.Met454Thr, identified as a founder mutation of South Asian origin. Those patients had widespread generalized retinal disease, characterized by electroretinography as a rod-cone dystrophy with severe macular involvement. In addition, the photopic single flash electroretinograms demonstrated a reduced b- to a-wave amplitude ratio, suggesting dysfunction occurring after phototransduction. Immunohistology identified MFSD8 in the outer plexiform layer of the retina, a site rich in photoreceptor synapses. Conclusions: This study highlights a hierarchy of MFSD8 variant severity, predicting three consequences of mutation: (1) nonsyndromic localized maculopathy, (2) nonsyndromic widespread retinopathy, or (3) syndromic neurological disease. The data also shed light on the underlying pathogenesis by implicating the photoreceptor synaptic terminals as the major site of retinal disease.
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- 2017
17. Rare Variant Analysis of Human and Rodent Obesity Genes in Individuals with Severe Childhood Obesity
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Hendricks, A.E. Bochukova, E.G. Marenne, G. Keogh, J.M. Atanassova, N. Bounds, R. Wheeler, E. Mistry, V. Henning, E. Körner, A. Muddyman, D. McCarthy, S. Hinney, A. Hebebrand, J. Scott, R.A. Langenberg, C. Wareham, N.J. Surendran, P. Howson, J.M. Butterworth, A.S. Danesh, J. Nordestgaard, Bø.G. Nielsen, S.F. Afzal, S. Papadia, S. Ashford, S. Garg, S. Millhauser, G.L. Palomino, R.I. Kwasniewska, A. Tachmazidou, I. O'Rahilly, S. Zeggini, E. Barroso, I. Farooqi, I.S. Benzeval, M. Burton, J. Buck, N. Jäckle, A. Kumari, M. Laurie, H. Lynn, P. Pudney, S. Rabe, B. Wolke, D. Overvad, K. Tjønneland, A. Clavel-Chapelon, F. Kaaks, R. Boeing, H. Trichopoulou, A. Ferrari, P. Palli, D. Krogha, V. Panico, S. Tuminoa, R. Matullo, G. Boer, J. Van Der Schouw, Y. Weiderpass, E. Quiros, J.R. Sánchez, M.-J. Navarro, C. Moreno-Iribas, C. Arriola, L. Melander, O. Wennberg, P. Key, T.J. Riboli, E. Turki, S.A. Anderson, C.A. Anney, R. Antony, D. Soler Artigas, M. Ayub, M. Bala, S. Barrett, J.C. Beales, P. Bentham, J. Bhattacharyaa, S. Birney, E. Blackwooda, D. Bobrow, M. Bolton, P.F. Boustred, C. Breen, G. Calissanoa, M. Carss, K. Charlton, R. Chatterjee, K. Chen, L. Ciampia, A. Cirak, S. Clapham, P. Clement, G. Coates, G. Coccaa, M. Collier, D.A. Cosgrove, C. Coxa, T. Craddock, N. Crooks, L. Curran, S. Curtis, D. Daly, A. Danecek, P. Day, I.N.M. Day-Williams, A. Dominiczak, A. Down, T. Du, Y. Dunham, I. Durbin, R. Edkins, S. Ekong, R. Ellis, P. Evansa, D.M. Fitzpatrick, D.R. Flicek, P. Floyd, J. Foley, A.R. Franklin, C.S. Futema, M. Gallagher, L. Gaunt, T.R. Geihs, M. Geschwind, D. Greenwood, C.M.T. Griffin, H. Grozeva, D. Guo, X. Guo, X. Gurling, H. Hart, D. Holmans, P. Howie, B. Huang, J. Huang, L. Hubbard, T. Humphries, S.E. Hurles, M.E. Hysi, P. Iotchkova, V. Jackson, D.K. Jamshidi, Y. Joyce, C. Karczewski, K.J. Kaye, J. Keane, T. Kemp, J.P. Kennedy, K. Kent, A. Khawaja, F. Van Kogelenberg, M. Kolb-Kokocinski, A. Lachance, G. Langford, C. Lawson, D. Lee, I. Lek, M. Li, R. Li, Y. Liang, J. Lin, H. Liu, R. Lönnqvist, J. Lopes, L.R. Lopes, M. MacArthur, D.G. Mangino, M. Marchini, J. Maslen, J. Mathieson, I. McGuffin, P. McIntosh, A.M. McKechanie, A.G. McQuillin, A. Memari, Y. Metrustry, S. Migone, N. Min, J.L. Mitchison, H.M. Moayyeri, A. Morris, A. Morris, J. Muntoni, F. Northstone, K. O'Donovan, M.C. Onoufriadis, A. Oualkacha, K. Owen, M.J. Palotie, A. Panoutsopoulou, K. Parker, V. Parr, J.R. Paternoster, L. Paunio, T. Payne, F. Payne, S.J. Perry, J.R.B. Pietilainen, O. Plagnol, V. Pollitt, R.C. Porteous, D.J. Povey, S. Quail, M.A. Quaye, L. Raymond, F.L. Rehnström, K. Richards, J.B. Ridout, C.K. Ring, S. Ritchie, G.R.S. Roberts, N. Robinson, R.L. Savage, D.B. Scambler, P. Schiffels, S. Schmidts, M. Schoenmakers, N. Scott, R.H. Semple, R.K. Serra, E. Sharp, S.I. Shaw, A. Shihab, H.A. Shin, S.-Y. Skuse, D. Small, K.S. Smee, C. Smith, B.H. Davey Smith, G. Soranzo, N. Southam, L. Spasic-Boskovic, O. Spector, T.D. St Clair, D. St Pourcain, B. Stalker, J. Stevens, E. Sun, J. Surdulescu, G. Suvisaari, J. Syrris, P. Taylor, R. Tian, J. Timpson, N.J. Tobin, M.D. Valdes, A.M. Vandersteen, A.M. Vijayarangakannan, P. Visscher, P.M. Wain, L.V. Walter, K. Walters, J.T.R. Wang, G. Wang, J. Wang, Y. Ward, K. Whyte, T. Williams, H.J. Williamson, K.A. Wilson, C. Wilson, S.G. Wong, K. Xu, C. Yang, J. Zhang, F. Zhang, P. Zheng, H.-F.
- Abstract
Obesity is a genetically heterogeneous disorder. Using targeted and whole-exome sequencing, we studied 32 human and 87 rodent obesity genes in 2,548 severely obese children and 1,117 controls. We identified 52 variants contributing to obesity in 2% of cases including multiple novel variants in GNAS, which were sometimes found with accelerated growth rather than short stature as described previously. Nominally significant associations were found for rare functional variants in BBS1, BBS9, GNAS, MKKS, CLOCK and ANGPTL6. The p.S284X variant in ANGPTL6 drives the association signal (rs201622589, MAF∼0.1%, odds ratio = 10.13, p-value = 0.042) and results in complete loss of secretion in cells. Further analysis including additional case-control studies and population controls (N = 260,642) did not support association of this variant with obesity (odds ratio = 2.34, p-value = 2.59 × 10-3), highlighting the challenges of testing rare variant associations and the need for very large sample sizes. Further validation in cohorts with severe obesity and engineering the variants in model organisms will be needed to explore whether human variants in ANGPTL6 and other genes that lead to obesity when deleted in mice, do contribute to obesity. Such studies may yield druggable targets for weight loss therapies. © 2017 The Author(s).
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- 2017
18. Improved imputation of low-frequency and rare variants using the UK10K haplotype reference panel
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Huang, J, Howie, B, Mccarthy, S, Memari, Y, Walter, K, Min, Jl, Danecek, P, Malerba, Giovanni, Trabetti, Elisabetta, Zheng, Hf, Gambaro, G, Richards, Jb, Durbin, R, Timpson, Nj, Marchini, J, Soranzo, N, Al Turki, S, Amuzu, A, Anderson, Ca, Anney, R, Antony, D, Artigas, Ms, Ayub, M, Bala, S, Barrett, Jc, Barroso, I, Beales, P, Benn, M, Bentham, J, Bhattacharya, S, Birney, E, Blackwood, D, Bobrow, M, Bochukova, E, Bolton, Pf, Bounds, R, Boustred, C, Breen, G, Calissano, M, Carss, K, Casas, Jp, Chambers, Jc, Charlton, R, Chatterjee, K, Chen, L, Ciampi, A, Cirak, S, Clapham, P, Clement, G, Coates, G, Cocca, M, Collier, Da, Cosgrove, C, Cox, T, Craddock, N, Crooks, L, Curran, S, Curtis, D, Daly, A, Day, In, Day Williams, A, Dedoussis, G, Down, T, Du, Y, van Duijn, Cm, Dunham, I, Edkins, S, Ekong, R, Ellis, P, Evans, Dm, Farooqi, Is, Fitzpatrick, Dr, Flicek, P, Floyd, J, Foley, Ar, Franklin, Cs, Futema, M, Gallagher, L, Gasparini, P, Gaunt, Tr, Geihs, M, Geschwind, D, Greenwood, C, Griffin, H, Grozeva, D, Guo, X, Gurling, H, Hart, D, Hendricks, Ae, Holmans, P, Huang, L, Hubbard, T, Humphries, Se, Hurles, Me, Hysi, P, Iotchkova, V, Isaacs, A, Jackson, Dk, Jamshidi, Y, Johnson, J, Joyce, C, Karczewski, Kj, Kaye, J, Keane, T, Kemp, Jp, Kennedy, K, Kent, A, Keogh, J, Khawaja, F, Kleber, Me, van Kogelenberg, M, Kolb Kokocinski, A, Kooner, Js, Lachance, G, Langenberg, C, Langford, C, Lawson, D, Lee, I, van Leeuwen, Em, Lek, M, Li, R, Li, Y, Liang, J, Lin, H, Liu, R, Lönnqvist, J, Lopes, Lr, Lopes, M, Luan, J, Macarthur, Dg, Mangino, M, Marenne, G, März, W, Maslen, J, Matchan, A, Mathieson, I, Mcguffin, P, Mcintosh, Am, Mckechanie, Ag, Mcquillin, A, Metrustry, S, Migone, N, Mitchison, Hm, Moayyeri, A, Morris, J, Morris, R, Muddyman, D, Muntoni, F, Nordestgaard, Bg, Northstone, K, O'Donovan, Mc, O'Rahilly, S, Onoufriadis, A, Oualkacha, K, Owen, Mj, Palotie, A, Panoutsopoulou, K, Parker, V, Parr, Jr, Paternoster, L, Paunio, T, Payne, F, Payne, Sj, Perry, Jr, Pietilainen, O, Plagnol, V, Pollitt, Rc, Povey, S, Quail, Ma, Quaye, L, Raymond, L, Rehnström, K, Ridout, Ck, Ring, S, Ritchie, Gr, Roberts, N, Robinson, Rl, Savage, Db, Scambler, P, Schiffels, S, Schmidts, M, Schoenmakers, N, Scott, Rh, Scott, Ra, Semple, Rk, Serra, E, Sharp, Si, Shaw, A, Shihab, Ha, Shin, Sy, Skuse, D, Small, Ks, Smee, C, Smith, Gd, Southam, L, Spasic Boskovic, O, Spector, Td, St Clair, D, St Pourcain, B, Stalker, J, Stevens, E, Sun, J, Surdulescu, G, Suvisaari, J, Syrris, P, Tachmazidou, I, Taylor, R, Tian, J, Tobin, Md, Toniolo, D, Traglia, M, Tybjaerg Hansen, A, Valdes, Am, Vandersteen, Am, Varbo, A, Vijayarangakannan, P, Visscher, Pm, Wain, Lv, Walters, Jt, Wang, G, Wang, J, Wang, Y, Ward, K, Wheeler, E, Whincup, P, Whyte, T, Williams, Hj, Williamson, Ka, Wilson, C, Wilson, Sg, Wong, K, Xu, C, Yang, J, Zaza, Gianluigi, Zeggini, E, Zhang, F, Zhang, P, Zhang, W., Clinicum, Department of Psychiatry, Jie, Huang, Bryan, Howie, Shane, Mccarthy, Yasin, Memari, Klaudia, Walter, Josine L., Min, Petr, Danecek, Giovanni, Malerba, Elisabetta, Trabetti, Hou Feng, Zheng, Saeed Al, Turki, Antoinette, Amuzu, Carl A., Anderson, Richard, Anney, Dinu, Antony, María Soler, Artiga, Muhammad, Ayub, Senduran, Bala, Jeffrey C., Barrett, Inês, Barroso, Phil, Beale, Marianne, Benn, Jamie, Bentham, Shoumo, Bhattacharya, Ewan, Birney, Douglas, Blackwood, Martin, Bobrow, Elena, Bochukova, Patrick F., Bolton, Rebecca, Bound, Chris, Boustred, Gerome, Breen, Mattia, Calissano, Keren, Car, Juan Pablo, Casa, John C., Chamber, Ruth, Charlton, Krishna, Chatterjee, Lu, Chen, Antonio, Ciampi, Sebahattin, Cirak, Peter, Clapham, Gail, Clement, Guy, Coate, Cocca, Massimiliano, David A., Collier, Catherine, Cosgrove, Tony, Cox, Nick, Craddock, Lucy, Crook, Sarah, Curran, David, Curti, Allan, Daly, Ian N. M., Day, Aaron Day, William, George, Dedoussi, Thomas, Down, Yuanping, Du, Cornelia M., van Duijn, Ian, Dunham, Sarah, Edkin, Rosemary, Ekong, Peter, Elli, David M., Evan, I., Sadaf Farooqi, David R., Fitzpatrick, Paul, Flicek, James, Floyd, A., Reghan Foley, Christopher S., Franklin, Marta, Futema, Louise, Gallagher, Gasparini, Paolo, Tom R., Gaunt, Matthias, Geih, Daniel, Geschwind, Celia, Greenwood, Heather, Griffin, Detelina, Grozeva, Xiaosen, Guo, Xueqin, Guo, Hugh, Gurling, Deborah, Hart, Audrey E., Hendrick, Peter, Holman, Liren, Huang, Tim, Hubbard, Steve E., Humphrie, Matthew E., Hurle, Pirro, Hysi, Valentina, Iotchkova, Aaron, Isaac, David K., Jackson, Yalda, Jamshidi, Jon, Johnson, Chris, Joyce, Konrad J., Karczewski, Jane, Kaye, Thomas, Keane, John P., Kemp, Karen, Kennedy, Alastair, Kent, Julia, Keogh, Farrah, Khawaja, Marcus E., Kleber, Margriet van, Kogelenberg, Anja Kolb, Kokocinski, Jaspal S., Kooner, Genevieve, Lachance, Claudia, Langenberg, Cordelia, Langford, Daniel, Lawson, Irene, Lee, Elisabeth M., van Leeuwen, Monkol, Lek, Rui, Li, Yingrui, Li, Jieqin, Liang, Hong, Lin, Ryan, Liu, Jouko, Lönnqvist, Luis R., Lope, Margarida, Lope, Jian'An, Luan, Daniel G., Macarthur, Massimo, Mangino, Gaëlle, Marenne, Winfried, März, John, Maslen, Angela, Matchan, Iain, Mathieson, Peter, Mcguffin, Andrew M., Mcintosh, Andrew G., Mckechanie, Andrew, Mcquillin, Sarah, Metrustry, Nicola, Migone, Hannah M., Mitchison, Alireza, Moayyeri, James, Morri, Richard, Morri, Dawn, Muddyman, Francesco, Muntoni, Børge G., Nordestgaard, Kate, Northstone, Michael C., O'Donovan, Stephen, O'Rahilly, Alexandros, Onoufriadi, Karim, Oualkacha, Michael J., Owen, Aarno, Palotie, Kalliope, Panoutsopoulou, Victoria, Parker, Jeremy R., Parr, Lavinia, Paternoster, Tiina, Paunio, Felicity, Payne, Stewart J., Payne, John R. B., Perry, Olli, Pietilainen, Vincent, Plagnol, Rebecca C., Pollitt, Sue, Povey, Michael A., Quail, Lydia, Quaye, Lucy, Raymond, Karola, Rehnström, Cheryl K., Ridout, Susan, Ring, Graham R. S., Ritchie, Nicola, Robert, Rachel L., Robinson, David B., Savage, Peter, Scambler, Stephan, Schiffel, Miriam, Schmidt, Nadia, Schoenmaker, Richard H., Scott, Robert A., Scott, Robert K., Semple, Eva, Serra, Sally I., Sharp, Adam, Shaw, Hashem A., Shihab, So Youn, Shin, David, Skuse, Kerrin S., Small, Carol, Smee, George Davey, Smith, Lorraine, Southam, Olivera Spasic, Boskovic, Timothy D., Spector, David St, Clair, Beate St, Pourcain, Jim, Stalker, Elizabeth, Steven, Jianping, Sun, Gabriela, Surdulescu, Jaana, Suvisaari, Petros, Syrri, Ioanna, Tachmazidou, Rohan, Taylor, Jing, Tian, Martin D., Tobin, Daniela, Toniolo, Michela, Traglia, Anne Tybjaerg, Hansen, Ana M., Valde, Anthony M., Vandersteen, Anette, Varbo, Parthiban, Vijayarangakannan, Peter M., Visscher, Louise V., Wain, James T. R., Walter, Guangbiao, Wang, Jun, Wang, Yu, Wang, Kirsten, Ward, Eleanor, Wheeler, Peter, Whincup, Tamieka, Whyte, Hywel J., William, Kathleen A., Williamson, Crispian, Wilson, Scott G., Wilson, Kim, Wong, Changjiang, Xu, Jian, Yang, Gianluigi, Zaza, Eleftheria, Zeggini, Feng, Zhang, Pingbo, Zhang, Weihua, Zhang, Giovanni, Gambaro, J., Brent Richard, Richard, Durbin, Nicholas J., Timpson, Jonathan, Marchini, and Nicole, Soranzo
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Computer science ,General Physics and Astronomy ,Genome-wide association study ,0302 clinical medicine ,Gene Frequency ,Haplotype ,Genetics,Biological sciences ,Settore MED/14 - NEFROLOGIA ,Aged, 80 and over ,Genetics ,0303 health sciences ,education.field_of_study ,Multidisciplinary ,TWINSUK ,Middle Aged ,single-nucleotide polymorphism ,Whole-genome sequencing, WGS imputation panel, single-nucleotide polymorphism ,Biological sciences ,Italy ,MAP ,Adult ,Adolescent ,Genotype ,WGS imputation panel ,Population ,Single-nucleotide polymorphism ,FORMAT ,Computational biology ,GENOTYPE IMPUTATION ,Polymorphism, Single Nucleotide ,Article ,White People ,General Biochemistry, Genetics and Molecular Biology ,Young Adult ,03 medical and health sciences ,Humans ,GENOME-WIDE ASSOCIATION ,1000 Genomes Project ,education ,Allele frequency ,Alleles ,Aged ,030304 developmental biology ,Whole-genome sequencing ,Models, Statistical ,Models, Genetic ,Genome, Human ,Genetic Variation ,General Chemistry ,United Kingdom ,Minor allele frequency ,Renal disorders Radboud Institute for Molecular Life Sciences [Radboudumc 11] ,Haplotypes ,3111 Biomedicine ,030217 neurology & neurosurgery ,Imputation (genetics) - Abstract
Imputing genotypes from reference panels created by whole-genome sequencing (WGS) provides a cost-effective strategy for augmenting the single-nucleotide polymorphism (SNP) content of genome-wide arrays. The UK10K Cohorts project has generated a data set of 3,781 whole genomes sequenced at low depth (average 7x), aiming to exhaustively characterize genetic variation down to 0.1% minor allele frequency in the British population. Here we demonstrate the value of this resource for improving imputation accuracy at rare and low-frequency variants in both a UK and an Italian population. We show that large increases in imputation accuracy can be achieved by re-phasing WGS reference panels after initial genotype calling. We also present a method for combining WGS panels to improve variant coverage and downstream imputation accuracy, which we illustrate by integrating 7,562 WGS haplotypes from the UK10K project with 2,184 haplotypes from the 1000 Genomes Project. Finally, we introduce a novel approximation that maintains speed without sacrificing imputation accuracy for rare variants., Imputation uses genotype information from SNP arrays to infer the genotypes of missing markers. Here, the authors show that an imputation reference panel derived from whole-genome sequencing of 3,781 samples from the UK10K project improves the imputation accuracy and coverage of low frequency variants compared to existing methods.
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- 2015
19. Mutations in AGBL5, Encoding alpha-Tubulin Deglutamylase, Are Associated With Autosomal Recessive Retinitis Pigmentosa
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Astuti, G.D., Arno, G., Hull, S., Pierrache, L., Venselaar, H., Carss, K., Raymond, F.L., Collin, R.W.J., Faradz, S.M., Born, L.I. van den, Webster, A.R., Cremers, F.P., Astuti, G.D., Arno, G., Hull, S., Pierrache, L., Venselaar, H., Carss, K., Raymond, F.L., Collin, R.W.J., Faradz, S.M., Born, L.I. van den, Webster, A.R., and Cremers, F.P.
- Abstract
Contains fulltext : 167966.pdf (publisher's version ) (Open Access), Purpose: AGBL5, encoding ATP/GTP binding protein-like 5, was previously proposed as an autosomal recessive retinitis pigmentosa (arRP) candidate gene based on the identification of missense variants in two families. In this study, we performed next-generation sequencing to reveal additional RP cases with AGBL5 variants, including protein-truncating variants. Methods: Whole-genome sequencing (WGS) or whole-exome sequencing (WES) was performed in three probands. Subsequent Sanger sequencing and segregation analysis were performed in the selected candidate genes. The medical history of individuals carrying AGBL5 variants was reviewed and additional ophthalmic examinations were performed, including fundus photography, fundus autofluorescence imaging, and optical coherence tomography. Results: AGBL5 variants were identified in three unrelated arRP families, comprising homozygous variants in family 1 (c.1775G>A:p.(Trp592*)) and family 2 (complex allele: c.[323C>G; 2659T>C]; p.[(Pro108Arg; *887Argext*1)]), and compound heterozygous variants (c.752T>G:p.(Val251Gly) and c.1504dupG:p.(Ala502Glyfs*15)) in family 3. All affected individuals displayed typical RP phenotypes. Conclusions: Our study convincingly shows that variants in AGBL5 are associated with arRP. The identification of AGBL5 and TTLL5, a previously described RP-associated gene encoding the tubulin tyrosine ligase-like family, member 5 protein, highlights the importance of poly- and deglutamylation in retinal homeostasis. Further studies are required to investigate the underlying disease mechanism associated with AGBL5 variants.
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- 2016
20. Reevaluation of the Retinal Dystrophy Due to Recessive Alleles of RGR With the Discovery of a Cis-Acting Mutation in CDHR1
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Arno, G., Hull, S., Carss, K., Dev-Borman, A., Chakarova, C., Bujakowska, K., Born, I. van den, Robson, A.G., Holder, G.E., Michaelides, M., Cremers, F.P., Pierce, E., Raymond, F.L., Moore, A.T., Webster, A.R., Arno, G., Hull, S., Carss, K., Dev-Borman, A., Chakarova, C., Bujakowska, K., Born, I. van den, Robson, A.G., Holder, G.E., Michaelides, M., Cremers, F.P., Pierce, E., Raymond, F.L., Moore, A.T., and Webster, A.R.
- Abstract
Contains fulltext : 168098.pdf (Publisher’s version ) (Open Access), Purpose: Mutation of RGR, encoding retinal G-protein coupled receptor was originally reported in association with retinal dystrophy in 1999. A single convincing recessive variant segregated perfectly in one family of five affected and two unaffected siblings. At least one further individual, homozygous for the same variant has since been reported. The aim of this report was to reevaluate the findings in consideration of data from a whole genome sequencing (WGS) study of a large cohort of retinal dystrophy families. Methods: Whole genome sequencing was performed on 599 unrelated probands with inherited retinal disease. Detailed phenotyping was performed, including clinical evaluation, electroretinography, fundus photography, fundus autofluorescence imaging (FAF) and spectral-domain optical coherence tomography (OCT). Results: Overall we confirmed that affected individuals from six unrelated families were homozygous for both the reported RGR p.Ser66Arg variant and a nearby frameshifting deletion in CDHR1 (p.Ile841Serfs119*). All had generalized rod and cone dysfunction with severe macular involvement. An additional proband was heterozygous for the same CDHR1/RGR haplotype but also carried a second null CDHR1 mutation on a different haplotype. A comparison of the clinical presentation of the probands reported here with other CDHR1-related retinopathy patients shows the phenotypes to be similar in presentation, severity, and rod/cone involvement. Conclusions: These data suggest that the recessive retinal disorder previously reported to be due to homozygous mutation in RGR is, at least in part, due to variants in CDHR1 and that the true consequences of RGR knock-out on human retinal structure and function are yet to be determined.
- Published
- 2016
21. Improved imputation of low-frequency and rare variants using the UK10K haplotype reference panel
- Author
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Huang, J. (Jie), Howie, B. (Bryan), McCarthy, S. (Shane), Memari, Y. (Yasin), Walter, K. (Klaudia), Min, J.L. (Josine L.), Danecek, P. (Petr), Malerba, G. (Giovanni), Trabetti, E. (Elisabetta), Zheng, H.-F. (Hou-Feng), Gambaro, G. (Giovanni), Richards, J.B. (Brent), Durbin, R. (Richard), Timpson, N.J. (Nicholas), Marchini, J. (Jonathan), Soranzo, N. (Nicole), Al Turki, S.H. (Saeed), Amuzu, A. (Antoinette), Anderson, C. (Carl), Anney, R. (Richard), Antony, D. (Dinu), Artigas, M.S., Ayub, M. (Muhammad), Bala, S. (Senduran), Barrett, J.C. (Jeffrey), Barroso, I.E. (Inês), Beales, P.L. (Philip), Benn, M. (Marianne), Bentham, J. (Jamie), Bhattacharya, S. (Shoumo), Birney, E. (Ewan), Blackwood, D.H.R. (Douglas), Bobrow, M. (Martin), Bochukova, E. (Elena), Bolton, P.F. (Patrick F.), Bounds, R. (Rebecca), Boustred, C. (Chris), Breen, G. (Gerome), Calissano, M. (Mattia), Carss, K. (Keren), Casas, J.P. (Juan Pablo), Chambers, J.C. (John C.), Charlton, R. (Ruth), Chatterjee, K. (Krishna), Chen, L. (Lu), Ciampi, A. (Antonio), Cirak, S. (Sebahattin), Clapham, P. (Peter), Clement, G. (Gail), Coates, G. (Guy), Cocca, M. (Massimiliano), Collier, D.A. (David), Cosgrove, C. (Catherine), Cox, T. (Tony), Craddock, N.J. (Nick), Crooks, L. (Lucy), Curran, S. (Sarah), Curtis, D. (David), Daly, A. (Allan), Day, I.N.M. (Ian N.M.), Day-Williams, A.G. (Aaron), Dedoussis, G.V. (George), Down, T. (Thomas), Du, Y. (Yuanping), Duijn, C.M. (Cornelia) van, Dunham, I. (Ian), Edkins, T. (Ted), Ekong, R. (Rosemary), Ellis, P. (Peter), Evans, D.M. (David), Farooqi, I.S. (I. Sadaf), Fitzpatrick, D.R. (David R.), Flicek, P. (Paul), Floyd, J. (James), Foley, A.R. (A. Reghan), Franklin, C.S. (Christopher S.), Futema, M. (Marta), Gallagher, L. (Louise), Gasparini, P. (Paolo), Gaunt, T.R. (Tom), Geihs, M. (Matthias), Geschwind, D. (Daniel), Greenwood, C.M.T. (Celia), Griffin, H. (Heather), Grozeva, D. (Detelina), Guo, X. (Xiaosen), Guo, X. (Xueqin), Gurling, H. (Hugh), Hart, D. (Deborah), Hendricks, A.E. (Audrey E.), Holmans, P.A. (Peter A.), Huang, L. (Liren), Hubbard, T. (Tim), Humphries, S.E. (Steve E.), Hurles, M.E. (Matthew), Hysi, P.G. (Pirro), Iotchkova, V. (Valentina), Isaacs, A. (Aaron), Jackson, D.K. (David K.), Jamshidi, Y. (Yalda), Johnson, J. (Jon), Joyce, C. (Chris), Karczewski, K.J. (Konrad), Kaye, J. (Jane), Keane, T. (Thomas), Kemp, J.P. (John), Kennedy, K. (Karen), Kent, A. (Alastair), Keogh, J. (Julia), Khawaja, F. (Farrah), Kleber, M.E. (Marcus), Van Kogelenberg, M. (Margriet), Kolb-Kokocinski, A. (Anja), Kooner, J.S. (Jaspal S.), Lachance, G. (Genevieve), Langenberg, C. (Claudia), Langford, C. (Cordelia), Lawson, D. (Daniel), Lee, I. (Irene), Leeuwen, E.M. (Elisa) van, Lek, M. (Monkol), Li, R. (Rui), Li, Y. (Yingrui), Liang, J. (Jieqin), Lin, H. (Hong), Liu, R. (Ryan), Lönnqvist, J. (Jouko), Lopes, L.R. (Luis R.), Lopes, M.C. (Margarida), Luan, J., MacArthur, D.G. (Daniel G.), Mangino, M. (Massimo), Marenne, G. (Gaëlle), März, W. (Winfried), Maslen, J. (John), Matchan, A. (Angela), Mathieson, I. (Iain), McGuffin, P. (Peter), McIntosh, A.M. (Andrew), McKechanie, A.G. (Andrew G.), McQuillin, A. (Andrew), Metrustry, S. (Sarah), Migone, N. (Nicola), Mitchison, H.M. (Hannah M.), Moayyeri, A. (Alireza), Morris, J. (James), Morris, R.W. (Richard), Muddyman, D. (Dawn), Muntoni, F., Nordestgaard, B.G. (Børge G.), Northstone, K. (Kate), O'donovan, M.C. (Michael), O'Rahilly, S. (Stephen), Onoufriadis, A. (Alexandros), Oualkacha, K. (Karim), Owen, M.J. (Michael J.), Palotie, A. (Aarno), Panoutsopoulou, K. (Kalliope), Parker, V. (Victoria), Parr, J.R. (Jeremy R.), Paternoster, L. (Lavinia), Paunio, T. (Tiina), Payne, F. (Felicity), Payne, S.J. (Stewart J.), Perry, J.R.B. (John), Pietiläinen, O.P.H. (Olli), Plagnol, V. (Vincent), Pollitt, R.C. (Rebecca C.), Povey, S. (Sue), Quail, M.A. (Michael A.), Quaye, L. (Lydia), Raymond, L. (Lucy), Rehnström, K. (Karola), Ridout, C.K. (Cheryl K.), Ring, S.M. (Susan), Ritchie, G.R.S. (Graham R.S.), Roberts, N. (Nicola), Robinson, R.L. (Rachel L.), Savage, D.B. (David), Scambler, P.J. (Peter), Schiffels, S. (Stephan), Schmidts, M. (Miriam), Schoenmakers, N. (Nadia), Scott, R.H. (Richard H.), Scott, R.A. (Robert), Semple, R.K. (Robert K.), Serra, E. (Eva), Sharp, S.I. (Sally I.), Shaw, A.C. (Adam C.), Shihab, H.A. (Hashem A.), Shin, S.-Y. (So-Youn), Skuse, D. (David), Small, K.S. (Kerrin), Smee, C. (Carol), Smith, A.V. (Davey), Southam, L. (Lorraine), Spasic-Boskovic, O. (Olivera), Spector, T.D. (Timothy), St. Clair, D. (David), St Pourcain, B. (Beate), Stalker, J. (Jim), Stevens, E. (Elizabeth), Sun, J. (Jianping), Surdulescu, G. (Gabriela), Suvisaari, J. (Jaana), Syrris, P. (Petros), Tachmazidou, I. (Ioanna), Taylor, R. (Rohan), Tian, J. (Jing), Tobin, M.D. (Martin), Toniolo, D. (Daniela), Traglia, M. (Michela), Tybjaerg-Hansen, A. (Anne), Valdes, A.M., Vandersteen, A.M. (Anthony M.), Varbo, A. (Anette), Vijayarangakannan, P. (Parthiban), Visscher, P.M. (Peter), Wain, L.V. (Louise), Walters, J.T. (James), Wang, G. (Guangbiao), Wang, J. (Jun), Wang, Y. (Yu), Ward, K. (Kirsten), Wheeler, E. (Eleanor), Whincup, P.H. (Peter), Whyte, T. (Tamieka), Williams, H.J. (Hywel J.), Williamson, K.A. (Kathleen), Wilson, C. (Crispian), Wilson, S.G. (Scott), Wong, K. (Kim), Xu, C. (Changjiang), Yang, J. (Jian), Zaza, G. (Gianluigi), Zeggini, E. (Eleftheria), Zhang, F. (Feng), Zhang, P. (Pingbo), Zhang, W. (Weihua), Huang, J. (Jie), Howie, B. (Bryan), McCarthy, S. (Shane), Memari, Y. (Yasin), Walter, K. (Klaudia), Min, J.L. (Josine L.), Danecek, P. (Petr), Malerba, G. (Giovanni), Trabetti, E. (Elisabetta), Zheng, H.-F. (Hou-Feng), Gambaro, G. (Giovanni), Richards, J.B. (Brent), Durbin, R. (Richard), Timpson, N.J. (Nicholas), Marchini, J. (Jonathan), Soranzo, N. (Nicole), Al Turki, S.H. (Saeed), Amuzu, A. (Antoinette), Anderson, C. (Carl), Anney, R. (Richard), Antony, D. (Dinu), Artigas, M.S., Ayub, M. (Muhammad), Bala, S. (Senduran), Barrett, J.C. (Jeffrey), Barroso, I.E. (Inês), Beales, P.L. (Philip), Benn, M. (Marianne), Bentham, J. (Jamie), Bhattacharya, S. (Shoumo), Birney, E. (Ewan), Blackwood, D.H.R. (Douglas), Bobrow, M. (Martin), Bochukova, E. (Elena), Bolton, P.F. (Patrick F.), Bounds, R. (Rebecca), Boustred, C. (Chris), Breen, G. (Gerome), Calissano, M. (Mattia), Carss, K. (Keren), Casas, J.P. (Juan Pablo), Chambers, J.C. (John C.), Charlton, R. (Ruth), Chatterjee, K. (Krishna), Chen, L. (Lu), Ciampi, A. (Antonio), Cirak, S. (Sebahattin), Clapham, P. (Peter), Clement, G. (Gail), Coates, G. (Guy), Cocca, M. (Massimiliano), Collier, D.A. (David), Cosgrove, C. (Catherine), Cox, T. (Tony), Craddock, N.J. (Nick), Crooks, L. (Lucy), Curran, S. (Sarah), Curtis, D. (David), Daly, A. (Allan), Day, I.N.M. (Ian N.M.), Day-Williams, A.G. (Aaron), Dedoussis, G.V. (George), Down, T. (Thomas), Du, Y. (Yuanping), Duijn, C.M. (Cornelia) van, Dunham, I. (Ian), Edkins, T. (Ted), Ekong, R. (Rosemary), Ellis, P. (Peter), Evans, D.M. (David), Farooqi, I.S. (I. Sadaf), Fitzpatrick, D.R. (David R.), Flicek, P. (Paul), Floyd, J. (James), Foley, A.R. (A. Reghan), Franklin, C.S. (Christopher S.), Futema, M. (Marta), Gallagher, L. (Louise), Gasparini, P. (Paolo), Gaunt, T.R. (Tom), Geihs, M. (Matthias), Geschwind, D. (Daniel), Greenwood, C.M.T. (Celia), Griffin, H. (Heather), Grozeva, D. (Detelina), Guo, X. (Xiaosen), Guo, X. (Xueqin), Gurling, H. (Hugh), Hart, D. (Deborah), Hendricks, A.E. (Audrey E.), Holmans, P.A. (Peter A.), Huang, L. (Liren), Hubbard, T. (Tim), Humphries, S.E. (Steve E.), Hurles, M.E. (Matthew), Hysi, P.G. (Pirro), Iotchkova, V. (Valentina), Isaacs, A. (Aaron), Jackson, D.K. (David K.), Jamshidi, Y. (Yalda), Johnson, J. (Jon), Joyce, C. (Chris), Karczewski, K.J. (Konrad), Kaye, J. (Jane), Keane, T. (Thomas), Kemp, J.P. (John), Kennedy, K. (Karen), Kent, A. (Alastair), Keogh, J. (Julia), Khawaja, F. (Farrah), Kleber, M.E. (Marcus), Van Kogelenberg, M. (Margriet), Kolb-Kokocinski, A. (Anja), Kooner, J.S. (Jaspal S.), Lachance, G. (Genevieve), Langenberg, C. (Claudia), Langford, C. (Cordelia), Lawson, D. (Daniel), Lee, I. (Irene), Leeuwen, E.M. (Elisa) van, Lek, M. (Monkol), Li, R. (Rui), Li, Y. (Yingrui), Liang, J. (Jieqin), Lin, H. (Hong), Liu, R. (Ryan), Lönnqvist, J. (Jouko), Lopes, L.R. (Luis R.), Lopes, M.C. (Margarida), Luan, J., MacArthur, D.G. (Daniel G.), Mangino, M. (Massimo), Marenne, G. (Gaëlle), März, W. (Winfried), Maslen, J. (John), Matchan, A. (Angela), Mathieson, I. (Iain), McGuffin, P. (Peter), McIntosh, A.M. (Andrew), McKechanie, A.G. (Andrew G.), McQuillin, A. (Andrew), Metrustry, S. (Sarah), Migone, N. (Nicola), Mitchison, H.M. (Hannah M.), Moayyeri, A. (Alireza), Morris, J. (James), Morris, R.W. (Richard), Muddyman, D. (Dawn), Muntoni, F., Nordestgaard, B.G. (Børge G.), Northstone, K. (Kate), O'donovan, M.C. (Michael), O'Rahilly, S. (Stephen), Onoufriadis, A. (Alexandros), Oualkacha, K. (Karim), Owen, M.J. (Michael J.), Palotie, A. (Aarno), Panoutsopoulou, K. (Kalliope), Parker, V. (Victoria), Parr, J.R. (Jeremy R.), Paternoster, L. (Lavinia), Paunio, T. (Tiina), Payne, F. (Felicity), Payne, S.J. (Stewart J.), Perry, J.R.B. (John), Pietiläinen, O.P.H. (Olli), Plagnol, V. (Vincent), Pollitt, R.C. (Rebecca C.), Povey, S. (Sue), Quail, M.A. (Michael A.), Quaye, L. (Lydia), Raymond, L. (Lucy), Rehnström, K. (Karola), Ridout, C.K. (Cheryl K.), Ring, S.M. (Susan), Ritchie, G.R.S. (Graham R.S.), Roberts, N. (Nicola), Robinson, R.L. (Rachel L.), Savage, D.B. (David), Scambler, P.J. (Peter), Schiffels, S. (Stephan), Schmidts, M. (Miriam), Schoenmakers, N. (Nadia), Scott, R.H. (Richard H.), Scott, R.A. (Robert), Semple, R.K. (Robert K.), Serra, E. (Eva), Sharp, S.I. (Sally I.), Shaw, A.C. (Adam C.), Shihab, H.A. (Hashem A.), Shin, S.-Y. (So-Youn), Skuse, D. (David), Small, K.S. (Kerrin), Smee, C. (Carol), Smith, A.V. (Davey), Southam, L. (Lorraine), Spasic-Boskovic, O. (Olivera), Spector, T.D. (Timothy), St. Clair, D. (David), St Pourcain, B. (Beate), Stalker, J. (Jim), Stevens, E. (Elizabeth), Sun, J. (Jianping), Surdulescu, G. (Gabriela), Suvisaari, J. (Jaana), Syrris, P. (Petros), Tachmazidou, I. (Ioanna), Taylor, R. (Rohan), Tian, J. (Jing), Tobin, M.D. (Martin), Toniolo, D. (Daniela), Traglia, M. (Michela), Tybjaerg-Hansen, A. (Anne), Valdes, A.M., Vandersteen, A.M. (Anthony M.), Varbo, A. (Anette), Vijayarangakannan, P. (Parthiban), Visscher, P.M. (Peter), Wain, L.V. (Louise), Walters, J.T. (James), Wang, G. (Guangbiao), Wang, J. (Jun), Wang, Y. (Yu), Ward, K. (Kirsten), Wheeler, E. (Eleanor), Whincup, P.H. (Peter), Whyte, T. (Tamieka), Williams, H.J. (Hywel J.), Williamson, K.A. (Kathleen), Wilson, C. (Crispian), Wilson, S.G. (Scott), Wong, K. (Kim), Xu, C. (Changjiang), Yang, J. (Jian), Zaza, G. (Gianluigi), Zeggini, E. (Eleftheria), Zhang, F. (Feng), Zhang, P. (Pingbo), and Zhang, W. (Weihua)
- Abstract
Imputing genotypes from reference panels created by whole-genome sequencing (WGS) provides a cost-effective strategy for augmenting the single-nucleotide polymorphism (SNP) content of genome-wide arrays. The UK10K Cohorts project has generated a data set of 3,781 whole genomes sequenced at low depth (average 7x), aiming to exhaustively characterize genetic variation down to 0.1% minor allele frequency in the British population. Here we demonstrate the value of this
- Published
- 2015
- Full Text
- View/download PDF
22. The UK10K project identifies rare variants in health and disease
- Author
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Walter, K, Min, JL, Huang, J, Crooks, L, Memari, Y, McCarthy, S, Perry, JRB, Xu, C, Futema, M, Lawson, D, Iotchkova, V, Schiffels, S, Hendricks, AE, Danecek, P, Li, R, Floyd, J, Wain, LV, Barroso, I, Humphries, SE, Hurles, ME, Zeggini, E, Barrett, JC, Plagnol, V, Richards, JB, Greenwood, CMT, Timpson, NJ, Durbin, R, Soranzo, N, Bala, S, Clapham, P, Coates, G, Cox, T, Daly, A, Du, Y, Edkins, S, Ellis, P, Flicek, P, Guo, X, Huang, L, Jackson, DK, Joyce, C, Keane, T, Kolb-Kokocinski, A, Langford, C, Li, Y, Liang, J, Lin, H, Liu, R, Maslen, J, Muddyman, D, Quail, MA, Stalker, J, Sun, J, Tian, J, Wang, G, Wang, J, Wang, Y, Wong, K, Zhang, P, Birney, E, Boustred, C, Chen, L, Clement, G, Cocca, M, Smith, GD, Day, INM, Day-Williams, A, Down, T, Dunham, I, Evans, DM, Gaunt, TR, Geihs, M, Hart, D, Howie, B, Hubbard, T, Hysi, P, Jamshidi, Y, Karczewski, KJ, Kemp, JP, Lachance, G, Lek, M, Lopes, M, MacArthur, DG, Marchini, J, Mangino, M, Mathieson, I, Metrustry, S, Moayyeri, A, Northstone, K, Panoutsopoulou, K, Paternoster, L, Quaye, L, Ring, S, Ritchie, GRS, Shihab, HA, Shin, S-Y, Small, KS, Artigas, MS, Southam, L, Spector, TD, St Pourcain, B, Surdulescu, G, Tachmazidou, I, Tobin, MD, Valdes, AM, Visscher, PM, Ward, K, Wilson, SG, Yang, J, Zhang, F, Zheng, H-F, Anney, R, Ayub, M, Blackwood, D, Bolton, PF, Breen, G, Collier, DA, Craddock, N, Curran, S, Curtis, D, Gallagher, L, Geschwind, D, Gurling, H, Holmans, P, Lee, I, Lonnqvist, J, McGuffin, P, McIntosh, AM, McKechanie, AG, McQuillin, A, Morris, J, O'Donovan, MC, Owen, MJ, Palotie, A, Parr, JR, Paunio, T, Pietilainen, O, Rehnstrom, K, Sharp, SI, Skuse, D, St Clair, D, Suvisaari, J, Walters, JTR, Williams, HJ, Bochukova, E, Bounds, R, Dominiczak, A, Farooqi, IS, Keogh, J, Marenne, GL, Morris, A, O'Rahilly, S, Porteous, DJ, Smith, BH, Wheeler, E, Al Turki, S, Anderson, CA, Antony, D, Beales, P, Bentham, J, Bhattacharya, S, Calissano, M, Carss, K, Chatterjee, K, Cirak, S, Cosgrove, C, Fitzpatrick, DR, Foley, AR, Franklin, CS, Grozeva, D, Mitchison, HM, Muntoni, F, Onoufriadis, A, Parker, V, Payne, F, Raymond, FL, Roberts, N, Savage, DB, Scambler, P, Schmidts, M, Schoenmakers, N, Semple, RK, Serra, E, Spasic-Boskovic, O, Stevens, E, van Kogelenberg, M, Vijayarangakannan, P, Williamson, KA, Wilson, C, Whyte, T, Ciampi, A, Oualkacha, K, Bobrow, M, Griffin, H, Kaye, J, Kennedy, K, Kent, A, Smee, C, Charlton, R, Ekong, R, Khawaja, F, Lopes, LR, Migone, N, Payne, SJ, Pollitt, RC, Povey, S, Ridout, CK, Robinson, RL, Scott, RH, Shaw, A, Syrris, P, Taylor, R, Vandersteen, AM, Amuzu, A, Casas, JP, Chambers, JC, Dedoussis, G, Gambaro, G, Gasparini, P, Isaacs, A, Johnson, J, Kleber, ME, Kooner, JS, Langenberg, C, Luan, J, Malerba, G, Maerz, W, Matchan, A, Morris, R, Nordestgaard, BG, Benn, M, Scott, RA, Toniolo, D, Traglia, M, Tybjaerg-Hansen, A, van Duijn, CM, van Leeuwen, EM, Varbo, A, Whincup, P, Zaza, G, Zhang, W, Walter, K, Min, JL, Huang, J, Crooks, L, Memari, Y, McCarthy, S, Perry, JRB, Xu, C, Futema, M, Lawson, D, Iotchkova, V, Schiffels, S, Hendricks, AE, Danecek, P, Li, R, Floyd, J, Wain, LV, Barroso, I, Humphries, SE, Hurles, ME, Zeggini, E, Barrett, JC, Plagnol, V, Richards, JB, Greenwood, CMT, Timpson, NJ, Durbin, R, Soranzo, N, Bala, S, Clapham, P, Coates, G, Cox, T, Daly, A, Du, Y, Edkins, S, Ellis, P, Flicek, P, Guo, X, Huang, L, Jackson, DK, Joyce, C, Keane, T, Kolb-Kokocinski, A, Langford, C, Li, Y, Liang, J, Lin, H, Liu, R, Maslen, J, Muddyman, D, Quail, MA, Stalker, J, Sun, J, Tian, J, Wang, G, Wang, J, Wang, Y, Wong, K, Zhang, P, Birney, E, Boustred, C, Chen, L, Clement, G, Cocca, M, Smith, GD, Day, INM, Day-Williams, A, Down, T, Dunham, I, Evans, DM, Gaunt, TR, Geihs, M, Hart, D, Howie, B, Hubbard, T, Hysi, P, Jamshidi, Y, Karczewski, KJ, Kemp, JP, Lachance, G, Lek, M, Lopes, M, MacArthur, DG, Marchini, J, Mangino, M, Mathieson, I, Metrustry, S, Moayyeri, A, Northstone, K, Panoutsopoulou, K, Paternoster, L, Quaye, L, Ring, S, Ritchie, GRS, Shihab, HA, Shin, S-Y, Small, KS, Artigas, MS, Southam, L, Spector, TD, St Pourcain, B, Surdulescu, G, Tachmazidou, I, Tobin, MD, Valdes, AM, Visscher, PM, Ward, K, Wilson, SG, Yang, J, Zhang, F, Zheng, H-F, Anney, R, Ayub, M, Blackwood, D, Bolton, PF, Breen, G, Collier, DA, Craddock, N, Curran, S, Curtis, D, Gallagher, L, Geschwind, D, Gurling, H, Holmans, P, Lee, I, Lonnqvist, J, McGuffin, P, McIntosh, AM, McKechanie, AG, McQuillin, A, Morris, J, O'Donovan, MC, Owen, MJ, Palotie, A, Parr, JR, Paunio, T, Pietilainen, O, Rehnstrom, K, Sharp, SI, Skuse, D, St Clair, D, Suvisaari, J, Walters, JTR, Williams, HJ, Bochukova, E, Bounds, R, Dominiczak, A, Farooqi, IS, Keogh, J, Marenne, GL, Morris, A, O'Rahilly, S, Porteous, DJ, Smith, BH, Wheeler, E, Al Turki, S, Anderson, CA, Antony, D, Beales, P, Bentham, J, Bhattacharya, S, Calissano, M, Carss, K, Chatterjee, K, Cirak, S, Cosgrove, C, Fitzpatrick, DR, Foley, AR, Franklin, CS, Grozeva, D, Mitchison, HM, Muntoni, F, Onoufriadis, A, Parker, V, Payne, F, Raymond, FL, Roberts, N, Savage, DB, Scambler, P, Schmidts, M, Schoenmakers, N, Semple, RK, Serra, E, Spasic-Boskovic, O, Stevens, E, van Kogelenberg, M, Vijayarangakannan, P, Williamson, KA, Wilson, C, Whyte, T, Ciampi, A, Oualkacha, K, Bobrow, M, Griffin, H, Kaye, J, Kennedy, K, Kent, A, Smee, C, Charlton, R, Ekong, R, Khawaja, F, Lopes, LR, Migone, N, Payne, SJ, Pollitt, RC, Povey, S, Ridout, CK, Robinson, RL, Scott, RH, Shaw, A, Syrris, P, Taylor, R, Vandersteen, AM, Amuzu, A, Casas, JP, Chambers, JC, Dedoussis, G, Gambaro, G, Gasparini, P, Isaacs, A, Johnson, J, Kleber, ME, Kooner, JS, Langenberg, C, Luan, J, Malerba, G, Maerz, W, Matchan, A, Morris, R, Nordestgaard, BG, Benn, M, Scott, RA, Toniolo, D, Traglia, M, Tybjaerg-Hansen, A, van Duijn, CM, van Leeuwen, EM, Varbo, A, Whincup, P, Zaza, G, and Zhang, W
- Abstract
The contribution of rare and low-frequency variants to human traits is largely unexplored. Here we describe insights from sequencing whole genomes (low read depth, 7×) or exomes (high read depth, 80×) of nearly 10,000 individuals from population-based and disease collections. In extensively phenotyped cohorts we characterize over 24 million novel sequence variants, generate a highly accurate imputation reference panel and identify novel alleles associated with levels of triglycerides (APOB), adiponectin (ADIPOQ) and low-density lipoprotein cholesterol (LDLR and RGAG1) from single-marker and rare variant aggregation tests. We describe population structure and functional annotation of rare and low-frequency variants, use the data to estimate the benefits of sequencing for association studies, and summarize lessons from disease-specific collections. Finally, we make available an extensive resource, including individual-level genetic and phenotypic data and web-based tools to facilitate the exploration of association results.
- Published
- 2015
23. Prenatal exome sequencing for fetuses with structural abnormalities: the next step
- Author
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Hillman, S.C., primary, Willams, D., additional, Carss, K. J., additional, McMullan, D.J., additional, Hurles, M. E., additional, and Kilby, M.D., additional
- Published
- 2014
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24. Exome sequencing improves genetic diagnosis of structural fetal abnormalities revealed by ultrasound
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Carss, K. J., primary, Hillman, S. C., additional, Parthiban, V., additional, McMullan, D. J., additional, Maher, E. R., additional, Kilby, M. D., additional, and Hurles, M. E., additional
- Published
- 2014
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25. G.P.1 Validation of novel secondary dystroglycanopathy genes using biochemical, cellular and zebrafish studies
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Stevens, E., primary, Carss, K., additional, Cirak, S., additional, Torelli, S., additional, Foley, A.R., additional, Sewry, C., additional, Topaloglu, H., additional, Haliloglu, G., additional, Stemple, D., additional, Hurles, M., additional, Lin, Y.Y., additional, and Muntoni, F., additional
- Published
- 2012
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26. Further study of chromosome 7p22 to identify the molecular basis of familial hyperaldosteronism type II
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Carss, K J, primary, Stowasser, M, additional, Gordon, R D, additional, and O'Shaughnessy, K M, additional
- Published
- 2010
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27. Novel homozygous splicing mutations in ARL2BP cause autosomal recessive retinitis pigmentosa
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Fiorentino, A., Yu, J., Arno, G., Nikolas Pontikos, Halford, S., Broadgate, S., Michaelides, M., Carss, K. J., Raymond, F. L., Cheetham, M. E., Webster, A. R., Downes, S. M., Hardcastle, A. J., Plagnol, V., Black, G., Hall, G., Gillespie, R., Ramsden, S., Manson, F., Sergouniotis, P., Inglehearn, C., Toomes, C., Ali, M., Mckibbin, M., Poulter, J., Lord, E., Smith, C., Khan, K., and Nemeth, A.
28. Genomic variation in the vomeronasal receptor gene repertoires of inbred mice
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Wynn Elizabeth H, Sánchez-Andrade Gabriela, Carss Keren J, and Logan Darren W
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Vomeronasal ,Receptor ,Olfaction ,Pheromone ,Behaviour ,Genome sequencing ,Single nucleotide polymorphism ,Mouse ,Biotechnology ,TP248.13-248.65 ,Genetics ,QH426-470 - Abstract
Abstract Background Vomeronasal receptors (VRs), expressed in sensory neurons of the vomeronasal organ, are thought to bind pheromones and mediate innate behaviours. The mouse reference genome has over 360 functional VRs arranged in highly homologous clusters, but the vast majority are of unknown function. Differences in these receptors within and between closely related species of mice are likely to underpin a range of behavioural responses. To investigate these differences, we interrogated the VR gene repertoire from 17 inbred strains of mice using massively parallel sequencing. Results Approximately half of the 6222 VR genes that we investigated could be successfully resolved, and those that were unambiguously mapped resulted in an extremely accurate dataset. Collectively VRs have over twice the coding sequence variation of the genome average; but we identify striking non-random distribution of these variants within and between genes, clusters, clades and functional classes of VRs. We show that functional VR gene repertoires differ considerably between different Mus subspecies and species, suggesting these receptors may play a role in mediating behavioural adaptations. Finally, we provide evidence that widely-used, highly inbred laboratory-derived strains have a greatly reduced, but not entirely redundant capacity for differential pheromone-mediated behaviours. Conclusions Together our results suggest that the unusually variable VR repertoires of mice have a significant role in encoding differences in olfactory-mediated responses and behaviours. Our dataset has expanded over nine fold the known number of mouse VR alleles, and will enable mechanistic analyses into the genetics of innate behavioural differences in mice.
- Published
- 2012
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29. Genetic architecture of telomere length in 462,666 UK Biobank whole-genome sequences.
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Burren OS, Dhindsa RS, Deevi SVV, Wen S, Nag A, Mitchell J, Hu F, Loesch DP, Smith KR, Razdan N, Olsson H, Platt A, Vitsios D, Wu Q, Codd V, Nelson CP, Samani NJ, March RE, Wasilewski S, Carss K, Fabre M, Wang Q, Pangalos MN, and Petrovski S
- Subjects
- Humans, United Kingdom, Telomere Homeostasis genetics, Male, Female, Clonal Hematopoiesis genetics, Genome-Wide Association Study methods, Aged, DNA Helicases genetics, Middle Aged, UK Biobank, Telomere genetics, Whole Genome Sequencing methods, Biological Specimen Banks, Polymorphism, Single Nucleotide
- Abstract
Telomeres protect chromosome ends from damage and their length is linked with human disease and aging. We developed a joint telomere length metric, combining quantitative PCR and whole-genome sequencing measurements from 462,666 UK Biobank participants. This metric increased SNP heritability, suggesting that it better captures genetic regulation of telomere length. Exome-wide rare-variant and gene-level collapsing association studies identified 64 variants and 30 genes significantly associated with telomere length, including allelic series in ACD and RTEL1. Notably, 16% of these genes are known drivers of clonal hematopoiesis-an age-related somatic mosaicism associated with myeloid cancers and several nonmalignant diseases. Somatic variant analyses revealed gene-specific associations with telomere length, including lengthened telomeres in individuals with large SRSF2-mutant clones, compared with shortened telomeres in individuals with clonal expansions driven by other genes. Collectively, our findings demonstrate the impact of rare variants on telomere length, with larger effects observed among genes also associated with clonal hematopoiesis., (© 2024. The Author(s).)
- Published
- 2024
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30. Characterising the contribution of rare protein-coding germline variants to prostate cancer risk and severity in 37,184 cases.
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Mitchell J, Camacho N, Shea P, Stopsack KH, Joseph V, Burren O, Dhindsa R, Nag A, Berchuck JE, O'Neill A, Abbasi A, Zoghbi AW, Alegre-Díaz J, Kuri-Morales P, Berumen J, Tapia-Conyer R, Emberson J, Torres JM, Collins R, Wang Q, Goldstein D, Matakidou A, Haefliger C, Anderson-Dring L, March R, Jobanputra V, Dougherty B, Carss K, Petrovski S, Kantoff PW, Offit K, Mucci LA, Pomerantz M, and Fabre MA
- Abstract
The etiology of prostate cancer, the second most common cancer in men globally, has a strong heritable component. While rare coding germline variants in several genes have been identified as risk factors from candidate gene and linkage studies, the exome-wide spectrum of causal rare variants remains to be fully explored. To more comprehensively address their contribution, we analysed data from 37,184 prostate cancer cases and 331,329 male controls from five cohorts with germline exome/genome sequencing and one cohort with imputed array data from a population enriched in low-frequency deleterious variants. Our gene-level collapsing analysis revealed that rare damaging variants in SAMHD1 as well as genes in the DNA damage response pathway ( BRCA2 , ATM and CHEK2 ) are associated with the risk of overall prostate cancer. We also found that rare damaging variants in AOX1 and BRCA2 were associated with increased severity of prostate cancer in a case-only analysis of aggressive versus non-aggressive prostate cancer. At the single-variant level, we found rare non-synonymous variants in three genes ( HOXB13 , CHEK2 , BIK ) significantly associated with increased risk of overall prostate cancer and in four genes ( ANO7 , SPDL1 , AR , TERT ) with decreased risk. Altogether, this study provides deeper insights into the genetic architecture and biological basis of prostate cancer risk and severity., Competing Interests: Competing Interests J.M., N.C., O.B., R.D., A.N., A.O., A.A., Q.W., L.A.-D., R.M., B.D., K.C., S.P., M.A.F. are current employees and/or stockholders of AstraZeneca. A.W.Z receives grant funding and consulting fees from AstraZeneca. L.A.M. is on the advisory board and holds equity interest in Convergent Therapeutics. A.M. is a former employee of AstraZeneca and current employee of GSK and a stockholder of AstraZeneca and GSK. C.H. was an employee and stockholder of AZ at the time of study. P.W.K. is a co-founder and employee of Convergent Therapeutics.
- Published
- 2024
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31. The effects of pathogenic and likely pathogenic variants for inherited hemostasis disorders in 140 214 UK Biobank participants.
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Stefanucci L, Collins J, Sims MC, Barrio-Hernandez I, Sun L, Burren OS, Perfetto L, Bender I, Callahan TJ, Fleming K, Guerrero JA, Hermjakob H, Martin MJ, Stephenson J, Paneerselvam K, Petrovski S, Porras P, Robinson PN, Wang Q, Watkins X, Frontini M, Laskowski RA, Beltrao P, Di Angelantonio E, Gomez K, Laffan M, Ouwehand WH, Mumford AD, Freson K, Carss K, Downes K, Gleadall N, Megy K, Bruford E, and Vuckovic D
- Subjects
- Humans, Biological Specimen Banks, Hemostasis, Hemorrhage genetics, Rare Diseases, Genome-Wide Association Study, Thrombosis
- Abstract
Rare genetic diseases affect millions, and identifying causal DNA variants is essential for patient care. Therefore, it is imperative to estimate the effect of each independent variant and improve their pathogenicity classification. Our study of 140 214 unrelated UK Biobank (UKB) participants found that each of them carries a median of 7 variants previously reported as pathogenic or likely pathogenic. We focused on 967 diagnostic-grade gene (DGG) variants for rare bleeding, thrombotic, and platelet disorders (BTPDs) observed in 12 367 UKB participants. By association analysis, for a subset of these variants, we estimated effect sizes for platelet count and volume, and odds ratios for bleeding and thrombosis. Variants causal of some autosomal recessive platelet disorders revealed phenotypic consequences in carriers. Loss-of-function variants in MPL, which cause chronic amegakaryocytic thrombocytopenia if biallelic, were unexpectedly associated with increased platelet counts in carriers. We also demonstrated that common variants identified by genome-wide association studies (GWAS) for platelet count or thrombosis risk may influence the penetrance of rare variants in BTPD DGGs on their associated hemostasis disorders. Network-propagation analysis applied to an interactome of 18 410 nodes and 571 917 edges showed that GWAS variants with large effect sizes are enriched in DGGs and their first-order interactors. Finally, we illustrate the modifying effect of polygenic scores for platelet count and thrombosis risk on disease severity in participants carrying rare variants in TUBB1 or PROC and PROS1, respectively. Our findings demonstrate the power of association analyses using large population datasets in improving pathogenicity classifications of rare variants., (© 2023 by The American Society of Hematology. Licensed under Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0), permitting only noncommercial, nonderivative use with attribution. All other rights reserved.)
- Published
- 2023
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32. Rare variant associations with plasma protein levels in the UK Biobank.
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Dhindsa RS, Burren OS, Sun BB, Prins BP, Matelska D, Wheeler E, Mitchell J, Oerton E, Hristova VA, Smith KR, Carss K, Wasilewski S, Harper AR, Paul DS, Fabre MA, Runz H, Viollet C, Challis B, Platt A, Vitsios D, Ashley EA, Whelan CD, Pangalos MN, Wang Q, and Petrovski S
- Subjects
- Humans, Alleles, Biomarkers blood, Databases, Factual, Exome genetics, Hematopoiesis, Mutation, Plasma chemistry, United Kingdom, Biological Specimen Banks, Blood Proteins analysis, Blood Proteins genetics, Genetic Association Studies, Genomics, Proteomics
- Abstract
Integrating human genomics and proteomics can help elucidate disease mechanisms, identify clinical biomarkers and discover drug targets
1-4 . Because previous proteogenomic studies have focused on common variation via genome-wide association studies, the contribution of rare variants to the plasma proteome remains largely unknown. Here we identify associations between rare protein-coding variants and 2,923 plasma protein abundances measured in 49,736 UK Biobank individuals. Our variant-level exome-wide association study identified 5,433 rare genotype-protein associations, of which 81% were undetected in a previous genome-wide association study of the same cohort5 . We then looked at aggregate signals using gene-level collapsing analysis, which revealed 1,962 gene-protein associations. Of the 691 gene-level signals from protein-truncating variants, 99.4% were associated with decreased protein levels. STAB1 and STAB2, encoding scavenger receptors involved in plasma protein clearance, emerged as pleiotropic loci, with 77 and 41 protein associations, respectively. We demonstrate the utility of our publicly accessible resource through several applications. These include detailing an allelic series in NLRC4, identifying potential biomarkers for a fatty liver disease-associated variant in HSD17B13 and bolstering phenome-wide association studies by integrating protein quantitative trait loci with protein-truncating variants in collapsing analyses. Finally, we uncover distinct proteomic consequences of clonal haematopoiesis (CH), including an association between TET2-CH and increased FLT3 levels. Our results highlight a considerable role for rare variation in plasma protein abundance and the value of proteogenomics in therapeutic discovery., (© 2023. The Author(s).)- Published
- 2023
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33. Effects of protein-coding variants on blood metabolite measurements and clinical biomarkers in the UK Biobank.
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Nag A, Dhindsa RS, Middleton L, Jiang X, Vitsios D, Wigmore E, Allman EL, Reznichenko A, Carss K, Smith KR, Wang Q, Challis B, Paul DS, Harper AR, and Petrovski S
- Subjects
- Humans, Biological Specimen Banks, Biomarkers, Lipids, United Kingdom, Polymorphism, Single Nucleotide, Genome-Wide Association Study, Genetic Predisposition to Disease
- Abstract
Genome-wide association studies (GWASs) have established the contribution of common and low-frequency variants to metabolic blood measurements in the UK Biobank (UKB). To complement existing GWAS findings, we assessed the contribution of rare protein-coding variants in relation to 355 metabolic blood measurements-including 325 predominantly lipid-related nuclear magnetic resonance (NMR)-derived blood metabolite measurements (Nightingale Health Plc) and 30 clinical blood biomarkers-using 412,393 exome sequences from four genetically diverse ancestries in the UKB. Gene-level collapsing analyses were conducted to evaluate a diverse range of rare-variant architectures for the metabolic blood measurements. Altogether, we identified significant associations (p < 1 × 10
-8 ) for 205 distinct genes that involved 1,968 significant relationships for the Nightingale blood metabolite measurements and 331 for the clinical blood biomarkers. These include associations for rare non-synonymous variants in PLIN1 and CREB3L3 with lipid metabolite measurements and SYT7 with creatinine, among others, which may not only provide insights into novel biology but also deepen our understanding of established disease mechanisms. Of the study-wide significant clinical biomarker associations, 40% were not previously detected on analyzing coding variants in a GWAS in the same cohort, reinforcing the importance of studying rare variation to fully understand the genetic architecture of metabolic blood measurements., Competing Interests: Declaration of interests A.N., R.S.D., L.M., X.J., D.V., E.W., E.L.A., A.R., K.C., K.R.S., Q.W., B.C., D.S.P., A.R.H., and S.P. are current employees and/or stockholders of AstraZeneca., (Copyright © 2023 The Author(s). Published by Elsevier Inc. All rights reserved.)- Published
- 2023
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34. Pharmacogenomic study of heart failure and candesartan response from the CHARM programme.
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Dubé MP, Chazara O, Lemaçon A, Asselin G, Provost S, Barhdadi A, Lemieux Perreault LP, Mongrain I, Wang Q, Carss K, Paul DS, Cunningham JW, Rouleau J, Solomon SD, McMurray JJV, Yusuf S, Granger CB, Haefliger C, de Denus S, and Tardif JC
- Subjects
- Humans, Genome-Wide Association Study, Pharmacogenomic Testing, Stroke Volume, Ventricular Function, Left, Randomized Controlled Trials as Topic, Heart Failure drug therapy, Heart Failure genetics, Ventricular Dysfunction, Left drug therapy
- Abstract
Aims: The Candesartan in Heart failure Assessment of Reduction in Mortality and morbidity (CHARM) programme consisted of three parallel, randomized, double-blind clinical trials comparing candesartan with placebo in patients with heart failure (HF) categorized according to left ventricular ejection fraction and tolerability to an angiotensin-converting enzyme inhibitor. We conducted a pharmacogenomic study of the CHARM trials with the objective of identifying genetic predictors of HF progression and of the efficacy and safety of treatment with candesartan., Methods: We performed genome-wide association studies in 2727 patients of European ancestry from CHARM-Overall and stratified by CHARM study according to preserved and reduced ejection fraction and according to assignment to the interventional treatment with candesartan. We tested genetic association with the composite endpoint of cardiovascular death or hospitalization for heart failure for drug efficacy in candesartan-treated patients and for HF progression using patients from both candesartan and placebo arms. The safety endpoints for response to candesartan were hyperkalaemia, renal dysfunction, hypotension, and change in systolic blood pressure between baseline and 6 weeks of treatment. To support our observations, we conducted a genome-wide gene-level collapsing analysis from whole-exome sequencing data with the composite cardiovascular endpoint., Results: We found that the A allele (14% allele frequency) of the genetic variant rs66886237 at 8p21.3 near the gene GFRA2 was associated with the composite cardiovascular endpoint in 1029 HF patients with preserved ejection fraction from the CHARM-Preserved study (hazard ratio: 1.91, 95% confidence interval: 1.55-2.35; P = 1.7 × 10
-9 ). The association was independent of candesartan treatment, and the genetic variant was not associated with the cardiovascular endpoint in patients with reduced ejection fraction. None of the genome-wide association studies for candesartan safety or efficacy conducted in patients treated with candesartan passed the significance threshold. We found no significant association from the gene-level collapsing analysis., Conclusions: We have identified a candidate genetic variant potentially predictive of the progression of heart failure in patients with preserved ejection fraction. The findings require further replication, and we cannot exclude the possibility that the results may be chance findings., (© 2022 The Authors. ESC Heart Failure published by John Wiley & Sons Ltd on behalf of European Society of Cardiology.)- Published
- 2022
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35. MED27, SLC6A7, and MPPE1 Variants in a Complex Neurodevelopmental Disorder with Severe Dystonia.
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Reid KM, Spaull R, Salian S, Barwick K, Meyer E, Zhen J, Hirata H, Sheipouri D, Benkerroum H, Gorman KM, Papandreou A, Simpson MA, Hirano Y, Farabella I, Topf M, Grozeva D, Carss K, Smith M, Pall H, Lunt P, De Gressi S, Kamsteeg EJ, Haack TB, Carr L, Guerreiro R, Bras J, Maher ER, Scott RH, Vandenberg RJ, Raymond FL, Chong WK, Sudhakar S, Mankad K, Reith ME, Campeau PM, Harvey RJ, and Kurian MA
- Subjects
- Animals, Proline, RNA, Zebrafish genetics, Dystonia diagnosis, Dystonia genetics, Dystonic Disorders genetics, Movement Disorders genetics, Neurodevelopmental Disorders genetics
- Abstract
Background: Despite advances in next generation sequencing technologies, the identification of variants of uncertain significance (VUS) can often hinder definitive diagnosis in patients with complex neurodevelopmental disorders., Objective: The objective of this study was to identify and characterize the underlying cause of disease in a family with two children with severe developmental delay associated with generalized dystonia and episodic status dystonicus, chorea, epilepsy, and cataracts., Methods: Candidate genes identified by autozygosity mapping and whole-exome sequencing were characterized using cellular and vertebrate model systems., Results: Homozygous variants were found in three candidate genes: MED27, SLC6A7, and MPPE1. Although the patients had features of MED27-related disorder, the SLC6A7 and MPPE1 variants were functionally investigated. SLC6A7 variant in vitro overexpression caused decreased proline transport as a result of reduced cell-surface expression, and zebrafish knockdown of slc6a7 exhibited developmental delay and fragile motor neuron morphology that could not be rescued by L-proline transporter-G396S RNA. Lastly, patient fibroblasts displayed reduced cell-surface expression of glycophosphatidylinositol-anchored proteins linked to MPPE1 dysfunction., Conclusions: We report a family harboring a homozygous MED27 variant with additional loss-of-function SLC6A7 and MPPE1 gene variants, which potentially contribute to a blended phenotype caused by multilocus pathogenic variants. © 2022 The Authors. Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society., (© 2022 The Authors. Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.)
- Published
- 2022
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36. Uncovering variable neoplasms between ATM protein-truncating and common missense variants using 394 694 UK Biobank exomes.
- Author
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Jiang X, O'Neill A, Smith KR, Lai Z, Carss K, Wang Q, and Petrovski S
- Subjects
- Biological Specimen Banks, Cell Cycle Proteins genetics, DNA-Binding Proteins genetics, Exome, Female, Genetic Predisposition to Disease, Humans, United Kingdom, Ataxia Telangiectasia Mutated Proteins genetics, Breast Neoplasms genetics, Mutation, Missense, Neoplasms genetics
- Abstract
As an essential regulator of DNA damage, ataxia-telangiectasia mutated (ATM) gene has been widely studied in oncology. However, the independent effects of ATM missense variants and protein-truncating variants (PTVs) on neoplasms have not been heavily studied. Whole-exome sequencing data and the clinical health records of 394,694 UK Biobank European participants were used in this analysis. We mined genetic associations from gene-level and variant-level phenome-wide association studies, and conducted a variant-level conditional association study to test whether the effects of ATM missense variants on neoplasms were independent of ATM PTV carrier status. The gene-level PTV collapsing analysis was consistent with established ATM PTV literature showing that the aggregated impact of 286 ATM PTVs significantly (p < 2 × 10
-9 ) associated with 31 malignant neoplasm phenotypes. Of 773 distinct protein-coding variants in ATM, three individual missense variants significantly (p < 2 × 10-9 ) associated with nine phenotypes. Remarkably, although the nine phenotypes were tumor-related, none overlapped the established ATM PTV-linked malignancies. A subsequent conditional analysis identified that the missense signals were acting independently of the known clinically relevant ATM PTVs., (© 2022 Wiley Periodicals LLC.)- Published
- 2022
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37. Rare variant contribution to human disease in 281,104 UK Biobank exomes.
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Wang Q, Dhindsa RS, Carss K, Harper AR, Nag A, Tachmazidou I, Vitsios D, Deevi SVV, Mackay A, Muthas D, Hühn M, Monkley S, Olsson H, Wasilewski S, Smith KR, March R, Platt A, Haefliger C, and Petrovski S
- Subjects
- Adult, Aged, Female, Genome-Wide Association Study, Humans, Male, Middle Aged, Phenotype, Proteins chemistry, Proteins genetics, United Kingdom, Exome Sequencing, Biological Specimen Banks, Databases, Genetic, Disease genetics, Exome genetics, Genetic Variation genetics
- Abstract
Genome-wide association studies have uncovered thousands of common variants associated with human disease, but the contribution of rare variants to common disease remains relatively unexplored. The UK Biobank contains detailed phenotypic data linked to medical records for approximately 500,000 participants, offering an unprecedented opportunity to evaluate the effect of rare variation on a broad collection of traits
1,2 . Here we study the relationships between rare protein-coding variants and 17,361 binary and 1,419 quantitative phenotypes using exome sequencing data from 269,171 UK Biobank participants of European ancestry. Gene-based collapsing analyses revealed 1,703 statistically significant gene-phenotype associations for binary traits, with a median odds ratio of 12.4. Furthermore, 83% of these associations were undetectable via single-variant association tests, emphasizing the power of gene-based collapsing analysis in the setting of high allelic heterogeneity. Gene-phenotype associations were also significantly enriched for loss-of-function-mediated traits and approved drug targets. Finally, we performed ancestry-specific and pan-ancestry collapsing analyses using exome sequencing data from 11,933 UK Biobank participants of African, East Asian or South Asian ancestry. Our results highlight a significant contribution of rare variants to common disease. Summary statistics are publicly available through an interactive portal ( http://azphewas.com/ )., (© 2021. The Author(s), under exclusive licence to Springer Nature Limited.)- Published
- 2021
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38. Whole-genome sequencing of patients with rare diseases in a national health system.
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Turro E, Astle WJ, Megy K, Gräf S, Greene D, Shamardina O, Allen HL, Sanchis-Juan A, Frontini M, Thys C, Stephens J, Mapeta R, Burren OS, Downes K, Haimel M, Tuna S, Deevi SVV, Aitman TJ, Bennett DL, Calleja P, Carss K, Caulfield MJ, Chinnery PF, Dixon PH, Gale DP, James R, Koziell A, Laffan MA, Levine AP, Maher ER, Markus HS, Morales J, Morrell NW, Mumford AD, Ormondroyd E, Rankin S, Rendon A, Richardson S, Roberts I, Roy NBA, Saleem MA, Smith KGC, Stark H, Tan RYY, Themistocleous AC, Thrasher AJ, Watkins H, Webster AR, Wilkins MR, Williamson C, Whitworth J, Humphray S, Bentley DR, Kingston N, Walker N, Bradley JR, Ashford S, Penkett CJ, Freson K, Stirrups KE, Raymond FL, and Ouwehand WH
- Subjects
- Actin-Related Protein 2-3 Complex genetics, Adaptor Proteins, Signal Transducing genetics, Alleles, Databases, Factual, Erythrocytes metabolism, GATA1 Transcription Factor genetics, Humans, Phenotype, Quantitative Trait Loci, Receptors, Thrombopoietin genetics, State Medicine, United Kingdom, Internationality, National Health Programs, Rare Diseases diagnosis, Rare Diseases genetics, Whole Genome Sequencing
- Abstract
Most patients with rare diseases do not receive a molecular diagnosis and the aetiological variants and causative genes for more than half such disorders remain to be discovered
1 . Here we used whole-genome sequencing (WGS) in a national health system to streamline diagnosis and to discover unknown aetiological variants in the coding and non-coding regions of the genome. We generated WGS data for 13,037 participants, of whom 9,802 had a rare disease, and provided a genetic diagnosis to 1,138 of the 7,065 extensively phenotyped participants. We identified 95 Mendelian associations between genes and rare diseases, of which 11 have been discovered since 2015 and at least 79 are confirmed to be aetiological. By generating WGS data of UK Biobank participants2 , we found that rare alleles can explain the presence of some individuals in the tails of a quantitative trait for red blood cells. Finally, we identified four novel non-coding variants that cause disease through the disruption of transcription of ARPC1B, GATA1, LRBA and MPL. Our study demonstrates a synergy by using WGS for diagnosis and aetiological discovery in routine healthcare.- Published
- 2020
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39. Large-Scale Whole-Genome Sequencing Reveals the Genetic Architecture of Primary Membranoproliferative GN and C3 Glomerulopathy.
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Levine AP, Chan MMY, Sadeghi-Alavijeh O, Wong EKS, Cook HT, Ashford S, Carss K, Christian MT, Hall M, Harris CL, McAlinden P, Marchbank KJ, Marks SD, Maxwell H, Megy K, Penkett CJ, Mozere M, Stirrups KE, Tuna S, Wessels J, Whitehorn D, Johnson SA, and Gale DP
- Subjects
- Complement C3 Nephritic Factor analysis, Female, Glomerulonephritis, Membranoproliferative etiology, HLA-DQ Antigens genetics, HLA-DR Antigens genetics, Humans, Male, Serogroup, Complement C3 immunology, Glomerulonephritis, Membranoproliferative genetics, Whole Genome Sequencing
- Abstract
Background: Primary membranoproliferative GN, including complement 3 (C3) glomerulopathy, is a rare, untreatable kidney disease characterized by glomerular complement deposition. Complement gene mutations can cause familial C3 glomerulopathy, and studies have reported rare variants in complement genes in nonfamilial primary membranoproliferative GN., Methods: We analyzed whole-genome sequence data from 165 primary membranoproliferative GN cases and 10,250 individuals without the condition (controls) as part of the National Institutes of Health Research BioResource-Rare Diseases Study. We examined copy number, rare, and common variants., Results: Our analysis included 146 primary membranoproliferative GN cases and 6442 controls who were unrelated and of European ancestry. We observed no significant enrichment of rare variants in candidate genes (genes encoding components of the complement alternative pathway and other genes associated with the related disease atypical hemolytic uremic syndrome; 6.8% in cases versus 5.9% in controls) or exome-wide. However, a significant common variant locus was identified at 6p21.32 (rs35406322) ( P =3.29×10
-8 ; odds ratio [OR], 1.93; 95% confidence interval [95% CI], 1.53 to 2.44), overlapping the HLA locus. Imputation of HLA types mapped this signal to a haplotype incorporating DQA1*05:01, DQB1*02:01, and DRB1*03:01 ( P =1.21×10-8 ; OR, 2.19; 95% CI, 1.66 to 2.89). This finding was replicated by analysis of HLA serotypes in 338 individuals with membranoproliferative GN and 15,614 individuals with nonimmune renal failure., Conclusions: We found that HLA type, but not rare complement gene variation, is associated with primary membranoproliferative GN. These findings challenge the paradigm of complement gene mutations typically causing primary membranoproliferative GN and implicate an underlying autoimmune mechanism in most cases., (Copyright © 2020 by the American Society of Nephrology.)- Published
- 2020
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40. ABCA4-associated disease as a model for missing heritability in autosomal recessive disorders: novel noncoding splice, cis-regulatory, structural, and recurrent hypomorphic variants.
- Author
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Bauwens M, Garanto A, Sangermano R, Naessens S, Weisschuh N, De Zaeytijd J, Khan M, Sadler F, Balikova I, Van Cauwenbergh C, Rosseel T, Bauwens J, De Leeneer K, De Jaegere S, Van Laethem T, De Vries M, Carss K, Arno G, Fakin A, Webster AR, de Ravel de l'Argentière TJL, Sznajer Y, Vuylsteke M, Kohl S, Wissinger B, Cherry T, Collin RWJ, Cremers FPM, Leroy BP, and De Baere E
- Subjects
- Adult, Alleles, Cohort Studies, Exons genetics, Female, Gene Frequency, HEK293 Cells, Humans, Introns genetics, Male, Middle Aged, Mutation genetics, Oligonucleotides, Antisense pharmacology, Pedigree, Phenotype, Retinal Dystrophies pathology, ATP-Binding Cassette Transporters genetics, Genes, Recessive genetics, Oligonucleotides, Antisense genetics, Retinal Dystrophies genetics
- Abstract
Purpose: ABCA4-associated disease, a recessive retinal dystrophy, is hallmarked by a large proportion of patients with only one pathogenic ABCA4 variant, suggestive for missing heritability., Methods: By locus-specific analysis of ABCA4, combined with extensive functional studies, we aimed to unravel the missing alleles in a cohort of 67 patients (p), with one (p = 64) or no (p = 3) identified coding pathogenic variants of ABCA4., Results: We identified eight pathogenic (deep-)intronic ABCA4 splice variants, of which five are novel and six structural variants, four of which are novel, including two duplications. Together, these variants account for the missing alleles in 40.3% of patients. Furthermore, two novel variants with a putative cis-regulatory effect were identified. The common hypomorphic variant c.5603A>T p.(Asn1868Ile) was found as a candidate second allele in 43.3% of patients. Overall, we have elucidated the missing heritability in 83.6% of our cohort. In addition, we successfully rescued three deep-intronic variants using antisense oligonucleotide (AON)-mediated treatment in HEK 293-T cells and in patient-derived fibroblast cells., Conclusion: Noncoding pathogenic variants, novel structural variants, and a common hypomorphic allele of the ABCA4 gene explain the majority of unsolved cases with ABCA4-associated disease, rendering this retinopathy a model for missing heritability in autosomal recessive disorders.
- Published
- 2019
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41. Comprehensive Cancer-Predisposition Gene Testing in an Adult Multiple Primary Tumor Series Shows a Broad Range of Deleterious Variants and Atypical Tumor Phenotypes.
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Whitworth J, Smith PS, Martin JE, West H, Luchetti A, Rodger F, Clark G, Carss K, Stephens J, Stirrups K, Penkett C, Mapeta R, Ashford S, Megy K, Shakeel H, Ahmed M, Adlard J, Barwell J, Brewer C, Casey RT, Armstrong R, Cole T, Evans DG, Fostira F, Greenhalgh L, Hanson H, Henderson A, Hoffman J, Izatt L, Kumar A, Kwong A, Lalloo F, Ong KR, Paterson J, Park SM, Chen-Shtoyerman R, Searle C, Side L, Skytte AB, Snape K, Woodward ER, Tischkowitz MD, and Maher ER
- Subjects
- Adult, Aged, Biomarkers, Tumor genetics, Female, Genetic Testing methods, Germ-Line Mutation genetics, Humans, Male, Middle Aged, Phenotype, Genetic Predisposition to Disease genetics, Genetic Variation genetics, Neoplasms, Multiple Primary genetics
- Abstract
Multiple primary tumors (MPTs) affect a substantial proportion of cancer survivors and can result from various causes, including inherited predisposition. Currently, germline genetic testing of MPT-affected individuals for variants in cancer-predisposition genes (CPGs) is mostly targeted by tumor type. We ascertained pre-assessed MPT individuals (with at least two primary tumors by age 60 years or at least three by 70 years) from genetics centers and performed whole-genome sequencing (WGS) on 460 individuals from 440 families. Despite previous negative genetic assessment and molecular investigations, pathogenic variants in moderate- and high-risk CPGs were detected in 67/440 (15.2%) probands. WGS detected variants that would not be (or were not) detected by targeted resequencing strategies, including low-frequency structural variants (6/440 [1.4%] probands). In most individuals with a germline variant assessed as pathogenic or likely pathogenic (P/LP), at least one of their tumor types was characteristic of variants in the relevant CPG. However, in 29 probands (42.2% of those with a P/LP variant), the tumor phenotype appeared discordant. The frequency of individuals with truncating or splice-site CPG variants and at least one discordant tumor type was significantly higher than in a control population (χ
2 = 43.642; p ≤ 0.0001). 2/67 (3%) probands with P/LP variants had evidence of multiple inherited neoplasia allele syndrome (MINAS) with deleterious variants in two CPGs. Together with variant detection rates from a previous series of similarly ascertained MPT-affected individuals, the present results suggest that first-line comprehensive CPG analysis in an MPT cohort referred to clinical genetics services would detect a deleterious variant in about a third of individuals., (Copyright © 2018 The Authors. Published by Elsevier Inc. All rights reserved.)- Published
- 2018
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42. Vitamin A deficiency due to bi-allelic mutation of RBP4: There's more to it than meets the eye.
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Khan KN, Carss K, Raymond FL, Islam F, Nihr BioResource-Rare Diseases Consortium, Moore AT, Michaelides M, and Arno G
- Subjects
- Adult, Alleles, Coloboma blood, Consanguinity, Female, Humans, Microphthalmos blood, Retinitis Pigmentosa blood, Tomography, Optical Coherence, Vitamin A blood, Vitamin A Deficiency blood, Whole Genome Sequencing, Coloboma genetics, Iris abnormalities, Microphthalmos genetics, Mutation, Retinitis Pigmentosa genetics, Retinol-Binding Proteins, Plasma genetics, Vitamin A Deficiency genetics
- Abstract
Vitamin A deficiency is the leading cause of preventable blindness in children worldwide and results in a well-recognized ocular phenotype. Herein we describe a patient presenting to the eye clinic with a retinal dystrophy and ocular colobomata. This combination of clinical signs and consanguineous pedigree structure suggested a genetic basis for the disease, a hypothesis that was tested using whole genome sequencing. Bi-allelic mutations in RBP4 were identified (c.248+1G>A), consistent with a diagnosis of inherited vitamin A deficiency. We describe a constellation of signs that appear to be characteristic for this disease, increasing clinical awareness of this rare condition.
- Published
- 2017
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43. Detailed Clinical Phenotype and Molecular Genetic Findings in CLN3-Associated Isolated Retinal Degeneration.
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Ku CA, Hull S, Arno G, Vincent A, Carss K, Kayton R, Weeks D, Anderson GW, Geraets R, Parker C, Pearce DA, Michaelides M, MacLaren RE, Robson AG, Holder GE, Heon E, Raymond FL, Moore AT, Webster AR, and Pennesi ME
- Subjects
- Adolescent, Adult, Aged, DNA Mutational Analysis, Electroretinography, Female, Humans, Male, Membrane Glycoproteins metabolism, Middle Aged, Molecular Chaperones metabolism, Ophthalmoscopy, Pedigree, Phenotype, Retinal Degeneration diagnosis, Retinal Degeneration metabolism, Tomography, Optical Coherence, Young Adult, DNA genetics, Membrane Glycoproteins genetics, Molecular Chaperones genetics, Mutation, Retinal Degeneration genetics, Visual Acuity
- Abstract
Importance: Mutations in genes traditionally associated with syndromic retinal disease are increasingly found to cause nonsyndromic inherited retinal degenerations. Mutations in CLN3 are classically associated with juvenile neuronal ceroid lipofuscinosis, a rare neurodegenerative disease with early retinal degeneration and progressive neurologic deterioration, but have recently also been identified in patients with nonsyndromic inherited retinal degenerations. To our knowledge, detailed clinical characterization of such cases has yet to be reported., Objective: To provide detailed clinical, electrophysiologic, structural, and molecular genetic findings in nonsyndromic inherited retinal degenerations associated with CLN3 mutations., Design, Setting, and Participants: A multi-institutional case series of 10 patients who presented with isolated nonsyndromic retinal disease and mutations in CLN3. Patient ages ranged from 16 to 70 years; duration of follow-up ranged from 3 to 29 years., Main Outcomes and Measures: Longitudinal clinical evaluation, including full ophthalmic examination, multimodal retinal imaging, perimetry, and electrophysiology. Molecular analyses were performed using whole-genome sequencing or whole-exome sequencing. Electron microscopy studies of peripheral lymphocytes and CLN3 transcript analysis with polymerase chain reaction amplification were performed in a subset of patients., Results: There were 7 females and 3 males in this case series, with a mean (range) age at last review of 37.1 (16-70) years. Of the 10 patients, 4 had a progressive late-onset rod-cone dystrophy, with a mean (range) age at onset of 29.7 (20-40) years, and 6 had an earlier onset rod-cone dystrophy, with a mean (range) age at onset of 12.1 (7-17) years. Ophthalmoscopic examination features included macular edema, mild intraretinal pigment migration, and widespread atrophy in advanced disease. Optical coherence tomography imaging demonstrated significant photoreceptor loss except in patients with late-onset disease who had a focal preservation of the ellipsoid zone and outer nuclear layer in the fovea. Electroretinography revealed a rod-cone pattern of dysfunction in 6 patients and were completely undetectable in 2 patients. Six novel CLN3 variants were identified in molecular analyses., Conclusions and Relevance: This report describes detailed clinical, imaging, and genetic features of CLN3-associated nonsyndromic retinal degeneration. The age at onset and natural progression of retinal disease differs greatly between syndromic and nonsyndromic CLN3 disease, which may be associated with genotypic differences.
- Published
- 2017
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44. Specific Alleles of CLN7/MFSD8, a Protein That Localizes to Photoreceptor Synaptic Terminals, Cause a Spectrum of Nonsyndromic Retinal Dystrophy.
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Khan KN, El-Asrag ME, Ku CA, Holder GE, McKibbin M, Arno G, Poulter JA, Carss K, Bommireddy T, Bagheri S, Bakall B, Scholl HP, Raymond FL, Toomes C, Inglehearn CF, Pennesi ME, Moore AT, Michaelides M, Webster AR, and Ali M
- Subjects
- Adult, DNA Mutational Analysis, Exome, Female, High-Throughput Nucleotide Sequencing, Homozygote, Humans, Male, Membrane Transport Proteins metabolism, Microscopy, Confocal, Middle Aged, Pedigree, Photoreceptor Cells, Vertebrate pathology, Presynaptic Terminals pathology, Retinal Dystrophies metabolism, Retinal Dystrophies pathology, DNA genetics, Membrane Transport Proteins genetics, Mutation, Photoreceptor Cells, Vertebrate metabolism, Presynaptic Terminals metabolism, Retinal Dystrophies genetics
- Abstract
Purpose: Recessive mutations in CLN7/MFSD8 usually cause variant late-infantile onset neuronal ceroid lipofuscinosis (vLINCL), a poorly understood neurodegenerative condition, though mutations may also cause nonsyndromic maculopathy. A series of 12 patients with nonsyndromic retinopathy due to novel CLN7/MFSD8 mutation combinations were investigated in this study., Methods: Affected patients and their family members were recruited in ophthalmic clinics at each center where they were examined by retinal imaging and detailed electrophysiology. Whole exome or genome next generation sequencing was performed on genomic DNA from at least one affected family member. Immunofluorescence confocal microscopy of murine retina cross-sections were used to localize the protein., Results: Compound heterozygous alleles were identified in six cases, one of which was always p.Glu336Gln. Such combinations resulted in isolated macular disease. Six further cases were homozygous for the variant p.Met454Thr, identified as a founder mutation of South Asian origin. Those patients had widespread generalized retinal disease, characterized by electroretinography as a rod-cone dystrophy with severe macular involvement. In addition, the photopic single flash electroretinograms demonstrated a reduced b- to a-wave amplitude ratio, suggesting dysfunction occurring after phototransduction. Immunohistology identified MFSD8 in the outer plexiform layer of the retina, a site rich in photoreceptor synapses., Conclusions: This study highlights a hierarchy of MFSD8 variant severity, predicting three consequences of mutation: (1) nonsyndromic localized maculopathy, (2) nonsyndromic widespread retinopathy, or (3) syndromic neurological disease. The data also shed light on the underlying pathogenesis by implicating the photoreceptor synaptic terminals as the major site of retinal disease.
- Published
- 2017
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45. Clinical Characterization of CNGB1-Related Autosomal Recessive Retinitis Pigmentosa.
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Hull S, Attanasio M, Arno G, Carss K, Robson AG, Thompson DA, Plagnol V, Michaelides M, Holder GE, Henderson RH, Raymond FL, Moore AT, and Webster AR
- Abstract
Importance: There are limited published data on the phenotype of retinitis pigmentosa (RP) related to CNGB1 variants. These data are needed both for prognostic counseling of patients and for understanding potential treatment windows., Objective: To describe the detailed clinical and molecular genetic findings in a series of patients with RP with likely pathogenic variants in CNGB1., Design, Setting, and Participants: In this case series, 10 patients from 9 families underwent full ophthalmologic examination. Molecular investigations included whole-exome analysis in 6 patients. The study was conducted from April 17, 2013, to March 3, 2016, with final follow-up completed on March 2, 2016, and data were analyzed from October 27, 2014, to March 29, 2016., Main Outcomes and Measures: Results of ophthalmologic examination and molecular genetic analysis of CNGB1., Results: In this case series, 7 women and 3 men from 9 families with a mean (SD) age of 47.4 (13.2) years identified as having CNGB1 variants were included in this study; there was a mean (SD) follow-up length of 3.7 (2.8) years. The first clinical presentation was with nyctalopia in childhood with visual field loss documented later at a mean (SD) age of 33.2 (8.0) years. All patients had preserved best-corrected visual acuity into adulthood, with a mean of 0.1 logMAR (Snellen equivalent, 20/25) in each eye (logMAR range, 0.0 to 0.3 [Snellen 20/20 to 20/40] in the right eye and -0.1 to 0.3 [Snellen 20/16 to 20/40] in the left eye). Fundus examination revealed midperipheral retinal pigment epithelial atrophy and intraretinal pigment migration. Optical coherence tomography of the macula demonstrated complete preservation of the inner segment ellipsoid band in 1 patient, with variable lateral extent in the other patients corresponding to the diameter of a paracentral ring of increased fundus autofluorescence. Electrophysiologic testing in 6 patients confirmed a rod-cone dystrophy phenotype. Molecular investigations identified a previously reported missense variant (p.[N986I]) and 7 variants not previously reported in disease including 4 nonsense (p.[(Q88*], p.[Q222*], p.[Q318*], and p.[R729*]), 2 frameshift (p.[A1048fs*13], p.[L849Afs*3]), and a splice site variant (c.761 + 2T>A)., Conclusions and Relevance: The data from this study suggest that visual acuity and foveal structure in patients with RP are preserved into adult life such that a lengthy window of opportunity should exist for intervention with novel therapies.
- Published
- 2017
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46. Mutations in AGBL5, Encoding α-Tubulin Deglutamylase, Are Associated With Autosomal Recessive Retinitis Pigmentosa.
- Author
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Astuti GD, Arno G, Hull S, Pierrache L, Venselaar H, Carss K, Raymond FL, Collin RW, Faradz SM, van den Born LI, Webster AR, and Cremers FP
- Subjects
- Adolescent, Adult, Alleles, Carboxypeptidases metabolism, Child, Child, Preschool, DNA Mutational Analysis, Exome, Female, Genes, Recessive, Homozygote, Humans, Male, Middle Aged, Pedigree, Phenotype, Retinitis Pigmentosa diagnosis, Retinitis Pigmentosa metabolism, Young Adult, Carboxypeptidases genetics, DNA genetics, Mutation, Retinitis Pigmentosa genetics, Tubulin metabolism
- Abstract
Purpose: AGBL5, encoding ATP/GTP binding protein-like 5, was previously proposed as an autosomal recessive retinitis pigmentosa (arRP) candidate gene based on the identification of missense variants in two families. In this study, we performed next-generation sequencing to reveal additional RP cases with AGBL5 variants, including protein-truncating variants., Methods: Whole-genome sequencing (WGS) or whole-exome sequencing (WES) was performed in three probands. Subsequent Sanger sequencing and segregation analysis were performed in the selected candidate genes. The medical history of individuals carrying AGBL5 variants was reviewed and additional ophthalmic examinations were performed, including fundus photography, fundus autofluorescence imaging, and optical coherence tomography., Results: AGBL5 variants were identified in three unrelated arRP families, comprising homozygous variants in family 1 (c.1775G>A:p.(Trp592*)) and family 2 (complex allele: c.[323C>G; 2659T>C]; p.[(Pro108Arg; *887Argext*1)]), and compound heterozygous variants (c.752T>G:p.(Val251Gly) and c.1504dupG:p.(Ala502Glyfs*15)) in family 3. All affected individuals displayed typical RP phenotypes., Conclusions: Our study convincingly shows that variants in AGBL5 are associated with arRP. The identification of AGBL5 and TTLL5, a previously described RP-associated gene encoding the tubulin tyrosine ligase-like family, member 5 protein, highlights the importance of poly- and deglutamylation in retinal homeostasis. Further studies are required to investigate the underlying disease mechanism associated with AGBL5 variants.
- Published
- 2016
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47. Reevaluation of the Retinal Dystrophy Due to Recessive Alleles of RGR With the Discovery of a Cis-Acting Mutation in CDHR1.
- Author
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Arno G, Hull S, Carss K, Dev-Borman A, Chakarova C, Bujakowska K, van den Born LI, Robson AG, Holder GE, Michaelides M, Cremers FP, Pierce E, Raymond FL, Moore AT, and Webster AR
- Subjects
- Alleles, Cadherin Related Proteins, Cadherins metabolism, DNA Mutational Analysis, Electroretinography, Female, Fluorescein Angiography, Fundus Oculi, Genes, Recessive, Homozygote, Humans, Male, Nerve Tissue Proteins metabolism, Pedigree, Phenotype, Retina pathology, Retinal Dystrophies diagnosis, Retinal Dystrophies metabolism, Tomography, Optical Coherence, Cadherins genetics, DNA genetics, Mutation, Nerve Tissue Proteins genetics, Retina metabolism, Retinal Dystrophies genetics
- Abstract
Purpose: Mutation of RGR, encoding retinal G-protein coupled receptor was originally reported in association with retinal dystrophy in 1999. A single convincing recessive variant segregated perfectly in one family of five affected and two unaffected siblings. At least one further individual, homozygous for the same variant has since been reported. The aim of this report was to reevaluate the findings in consideration of data from a whole genome sequencing (WGS) study of a large cohort of retinal dystrophy families., Methods: Whole genome sequencing was performed on 599 unrelated probands with inherited retinal disease. Detailed phenotyping was performed, including clinical evaluation, electroretinography, fundus photography, fundus autofluorescence imaging (FAF) and spectral-domain optical coherence tomography (OCT)., Results: Overall we confirmed that affected individuals from six unrelated families were homozygous for both the reported RGR p.Ser66Arg variant and a nearby frameshifting deletion in CDHR1 (p.Ile841Serfs119*). All had generalized rod and cone dysfunction with severe macular involvement. An additional proband was heterozygous for the same CDHR1/RGR haplotype but also carried a second null CDHR1 mutation on a different haplotype. A comparison of the clinical presentation of the probands reported here with other CDHR1-related retinopathy patients shows the phenotypes to be similar in presentation, severity, and rod/cone involvement., Conclusions: These data suggest that the recessive retinal disorder previously reported to be due to homozygous mutation in RGR is, at least in part, due to variants in CDHR1 and that the true consequences of RGR knock-out on human retinal structure and function are yet to be determined.
- Published
- 2016
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48. Nonsyndromic Retinal Dystrophy due to Bi-Allelic Mutations in the Ciliary Transport Gene IFT140.
- Author
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Hull S, Owen N, Islam F, Tracey-White D, Plagnol V, Holder GE, Michaelides M, Carss K, Raymond FL, Rozet JM, Ramsden SC, Black GC, Perrault I, Sarkar A, Moosajee M, Webster AR, Arno G, and Moore AT
- Subjects
- Adolescent, Adult, Aged, Alleles, Carrier Proteins metabolism, Ciliary Body pathology, DNA Mutational Analysis, Exome, Female, Fluorescein Angiography, Fundus Oculi, Genotype, Humans, Male, Middle Aged, Pedigree, Phenotype, Retinal Dystrophies diagnosis, Retinal Dystrophies metabolism, Retinal Dystrophies pathology, Young Adult, Carrier Proteins genetics, Ciliary Body metabolism, DNA genetics, Mutation, Retinal Dystrophies genetics
- Abstract
Purpose: Mutations in the ciliary transporter gene IFT140, usually associated with a severe syndromic ciliopathy, may also cause isolated retinal dystrophy. A series of patients with nonsyndromic retinitis pigmentosa (RP) due to IFT140 was investigated in this study., Methods: Five probands and available affected family members underwent detailed phenotyping including retinal imaging and electrophysiology. Whole exome sequencing was performed on two probands, a targeted sequencing panel of 176 retinal genes on a further two, and whole genome sequencing on the fifth. Missense mutations of IFT140 were further investigated in vitro using transient plasmid transfection of hTERT-RPE1 cells., Results: Eight affected patients from five families had preserved visual acuity until at least the second decade; all had normal development without skeletal manifestations or renal failure at age 13 to 67 years (mean, 42 years; median, 44.5 years). Bi-allelic mutations in IFT140 were identified in all families including two novel mutations: c.2815T > C (p.Ser939Pro) and c.1422_23insAA (p.Arg475Asnfs*14). Expression studies demonstrated a significantly reduced number of cells showing localization of mutant IFT140 with the basal body for two nonsyndromic mutations and two syndromic mutations compared with the wild type and a polymorphism., Conclusions: This study highlights the phenotype of nonsyndromic RP due to mutations in IFT140 with milder retinal dystrophy than that associated with the syndromic disease.
- Published
- 2016
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49. Mutations in CACNA2D4 Cause Distinctive Retinal Dysfunction in Humans.
- Author
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Ba-Abbad R, Arno G, Carss K, Stirrups K, Penkett CJ, Moore AT, Michaelides M, Raymond FL, Webster AR, and Holder GE
- Subjects
- Adult, Color Vision Defects genetics, DNA Mutational Analysis, Electroretinography, Female, Genome-Wide Association Study, Genotyping Techniques, Humans, Optical Imaging, Pedigree, Retinal Cone Photoreceptor Cells pathology, Retinal Dystrophies diagnosis, Retinal Dystrophies physiopathology, Tomography, Optical Coherence, Young Adult, Calcium Channels, L-Type genetics, Codon, Nonsense, Retinal Dystrophies genetics
- Published
- 2016
- Full Text
- View/download PDF
50. Targeted Next-Generation Sequencing Analysis of 1,000 Individuals with Intellectual Disability.
- Author
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Grozeva D, Carss K, Spasic-Boskovic O, Tejada MI, Gecz J, Shaw M, Corbett M, Haan E, Thompson E, Friend K, Hussain Z, Hackett A, Field M, Renieri A, Stevenson R, Schwartz C, Floyd JA, Bentham J, Cosgrove C, Keavney B, Bhattacharya S, Hurles M, and Raymond FL
- Subjects
- Alleles, Cohort Studies, Computational Biology methods, Female, Humans, Inheritance Patterns, Male, Mutation, Polymorphism, Single Nucleotide, Genetic Association Studies, High-Throughput Nucleotide Sequencing, Intellectual Disability genetics
- Abstract
To identify genetic causes of intellectual disability (ID), we screened a cohort of 986 individuals with moderate to severe ID for variants in 565 known or candidate ID-associated genes using targeted next-generation sequencing. Likely pathogenic rare variants were found in ∼11% of the cases (113 variants in 107/986 individuals: ∼8% of the individuals had a likely pathogenic loss-of-function [LoF] variant, whereas ∼3% had a known pathogenic missense variant). Variants in SETD5, ATRX, CUL4B, MECP2, and ARID1B were the most common causes of ID. This study assessed the value of sequencing a cohort of probands to provide a molecular diagnosis of ID, without the availability of DNA from both parents for de novo sequence analysis. This modeling is clinically relevant as 28% of all UK families with dependent children are single parent households. In conclusion, to diagnose patients with ID in the absence of parental DNA, we recommend investigation of all LoF variants in known genes that cause ID and assessment of a limited list of proven pathogenic missense variants in these genes. This will provide 11% additional diagnostic yield beyond the 10%-15% yield from array CGH alone., (© 2015 The Authors. **Human Mutation published by Wiley Periodicals, Inc.)
- Published
- 2015
- Full Text
- View/download PDF
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