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21. Germline selection shapes human mitochondrial DNA diversity

Author

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.

Published
2019
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22. Whole genome sequencing reveals that genetic conditions are frequent in intensively ill children

Author

French, CE, Delon, I, Dolling, H, Sanchis-Juan, A, Shamardina, O, Mégy, K, Abbs, S, Austin, T, Bowdin, S, Branco, RG, Firth, H, Tuna, S, Aitman, TJ, Ashford, S, Astle, WJ, Bennet, DL, Bleda, M, Carss, KJ, Chinnery, PF, Deevi, SVV, Fletcher, D, Gale, DP, Gräf, SF, Hu, F, James, R, Kasanicki, MA, Kingston, N, Koziell, AB, Allen, HL, Maher, ER, Markus, HS, Meacham, S, Morrell, NW, Penkett, CJ, Roberts, I, Smith, KGC, Stark, H, Stirrups, KE, Turro, E, Watkins, H, Williamson, C, Young, T, Bradley, JR, Ouwehand, WH, Raymond, FL, Agrawal, S, Armstrong, R, Beardsall, K, Belteki, G, Bohatschek, M, Broster, S, Campbell, R, Chaudhary, R, Costa, C, D’Amore, A, Fitzsimmons, A, Hague, J, Harley, J, Hoodbhoy, S, Kayani, R, Kelsall, W, Mehta, SG, O’Donnell, R, O’Hare, S, Ogilvy-Stuart, A, Papakostas, S, Park, SM, Parker, A, Pathan, N, Prapa, M, Sammut, A, Sandford, R, Schon, K, Singh, Y, Spike, K, Tavares, ALT, Wari-Pepple, D, Wong, HS, Woods, CG, Rowitch, DH, Raymond, F Lucy [0000-0003-2652-3355], and Apollo - University of Cambridge Repository

Subjects
Male, NICU, medicine.medical_specialty, Palliative care, Adolescent, PICU, Original, Critical Illness, Critically ill children, Genomics, Critical Care and Intensive Care Medicine, Intensive Care Units, Pediatric, State Medicine, Cohort Studies, 03 medical and health sciences, Young Adult, 0302 clinical medicine, Anesthesiology, Intensive care, Intensive Care Units, Neonatal, Genetics, Medicine, Humans, Prospective Studies, Medical diagnosis, Intensive care medicine, Prospective cohort study, Child, Whole genome sequencing, Whole Genome Sequencing, business.industry, Genetic Diseases, Inborn, Infant, Newborn, Infant, 030208 emergency & critical care medicine, 030228 respiratory system, England, FOS: Biological sciences, Child, Preschool, Female, business, Genetic Background, Cohort study
Abstract

Purpose With growing evidence that rare single gene disorders present in the neonatal period, there is a need for rapid, systematic, and comprehensive genomic diagnoses in ICUs to assist acute and long-term clinical decisions. This study aimed to identify genetic conditions in neonatal (NICU) and paediatric (PICU) intensive care populations. Methods We performed trio whole genome sequence (WGS) analysis on a prospective cohort of families recruited in NICU and PICU at a single site in the UK. We developed a research pipeline in collaboration with the National Health Service to deliver validated pertinent pathogenic findings within 2–3 weeks of recruitment. Results A total of 195 families had whole genome analysis performed (567 samples) and 21% received a molecular diagnosis for the underlying genetic condition in the child. The phenotypic description of the child was a poor predictor of the gene identified in 90% of cases, arguing for gene agnostic testing in NICU/PICU. The diagnosis affected clinical management in more than 65% of cases (83% in neonates) including modification of treatments and care pathways and/or informing palliative care decisions. A 2–3 week turnaround was sufficient to impact most clinical decision-making. Conclusions The use of WGS in intensively ill children is acceptable and trio analysis facilitates diagnoses. A gene agnostic approach was effective in identifying an underlying genetic condition, with phenotypes and symptomatology being primarily used for data interpretation rather than gene selection. WGS analysis has the potential to be a first-line diagnostic tool for a subset of intensively ill children. Electronic supplementary material The online version of this article (10.1007/s00134-019-05552-x) contains supplementary material, which is available to authorized users.

Published
2019

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