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1. Whole-exome sequencing in an isolated population from the Dalmatian island of Vis.

Author

Jeroncic A, Memari Y, Ritchie GR, Hendricks AE, Kolb-Kokocinski A, Matchan A, Vitart V, Hayward C, Kolcic I, Glodzik D, Wright AF, Rudan I, Campbell H, Durbin R, Polašek O, Zeggini E, and Boraska Perica V

Subjects
Croatia, Evolution, Molecular, Gene Frequency, Humans, Islands, Mutation, Polymorphism, Single Nucleotide, Reproductive Isolation, Exome, Population genetics
Abstract

We have whole-exome sequenced 176 individuals from the isolated population of the island of Vis in Croatia in order to describe exonic variation architecture. We found 290 577 single nucleotide variants (SNVs), 65% of which are singletons, low frequency or rare variants. A total of 25 430 (9%) SNVs are novel, previously not catalogued in NHLBI GO Exome Sequencing Project, UK10K-Generation Scotland, 1000Genomes Project, ExAC or NCBI Reference Assembly dbSNP. The majority of these variants (76%) are singletons. Comparable to data obtained from UK10K-Generation Scotland that were sequenced and analysed using the same protocols, we detected an enrichment of potentially damaging variants (non-synonymous and loss-of-function) in the low frequency and common variant categories. On average 115 (range 93-140) genotypes with loss-of-function variants, 23 (15-34) of which were homozygous, were identified per person. The landscape of loss-of-function variants across an exome revealed that variants mainly accumulated in genes on the xenobiotic-related pathways, of which majority coded for enzymes. The frequency of loss-of-function variants was additionally increased in Vis runs of homozygosity regions where variants mainly affected signalling pathways. This work confirms the isolate status of Vis population by means of whole-exome sequence and reveals the pattern of loss-of-function mutations, which resembles the trails of adaptive evolution that were found in other species. By cataloguing the exomic variants and describing the allelic structure of the Vis population, this study will serve as a valuable resource for future genetic studies of human diseases, population genetics and evolution in this population.

Published
2016
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2. Genetic characterization of Greek population isolates reveals strong genetic drift at missense and trait-associated variants.

Author

Panoutsopoulou K, Hatzikotoulas K, Xifara DK, Colonna V, Farmaki AE, Ritchie GR, Southam L, Gilly A, Tachmazidou I, Fatumo S, Matchan A, Rayner NW, Ntalla I, Mezzavilla M, Chen Y, Kiagiadaki C, Zengini E, Mamakou V, Athanasiadis A, Giannakopoulou M, Kariakli VE, Nsubuga RN, Karabarinde A, Sandhu M, McVean G, Tyler-Smith C, Tsafantakis E, Karaleftheri M, Xue Y, Dedoussis G, and Zeggini E

Subjects
Adolescent, Blood Cells cytology, Cell Size, Cohort Studies, Gene Frequency genetics, Genome-Wide Association Study, Greece, Haplotypes genetics, Humans, Phenotype, Social Isolation, Genetic Drift, Genetic Variation genetics, Genetics, Population, Genotype, Mutation, Missense genetics, Population genetics
Abstract

Isolated populations are emerging as a powerful study design in the search for low-frequency and rare variant associations with complex phenotypes. Here we genotype 2,296 samples from two isolated Greek populations, the Pomak villages (HELIC-Pomak) in the North of Greece and the Mylopotamos villages (HELIC-MANOLIS) in Crete. We compare their genomic characteristics to the general Greek population and establish them as genetic isolates. In the MANOLIS cohort, we observe an enrichment of missense variants among the variants that have drifted up in frequency by more than fivefold. In the Pomak cohort, we find novel associations at variants on chr11p15.4 showing large allele frequency increases (from 0.2% in the general Greek population to 4.6% in the isolate) with haematological traits, for example, with mean corpuscular volume (rs7116019, P=2.3 × 10(-26)). We replicate this association in a second set of Pomak samples (combined P=2.0 × 10(-36)). We demonstrate significant power gains in detecting medical trait associations.

Published
2014
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3. Improved imputation of low-frequency and rare variants using the UK10K haplotype reference panel

Author

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

Subjects
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.

Published
2015

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