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.
Originalsprog | Engelsk |
---|---|
Artikelnummer | 8111 |
Tidsskrift | Nature Communications |
Vol/bind | 6 |
Antal sider | 9 |
ISSN | 2041-1723 |
DOI | |
Status | Udgivet - 14 sep. 2015 |
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I: Nature Communications, Bind 6, 8111, 14.09.2015.
Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review
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TY - JOUR
T1 - Improved imputation of low-frequency and rare variants using the UK10K haplotype reference panel
AU - Huang, Jie
AU - Howie, Bryan
AU - Mccarthy, Shane
AU - Memari, Yasin
AU - Walter, Klaudia
AU - Min, Josine L.
AU - Danecek, Petr
AU - Malerba, Giovanni
AU - Trabetti, Elisabetta
AU - Zheng, Hou-feng
AU - Al Turki, Saeed
AU - Amuzu, Antoinette
AU - Anderson, Carl A.
AU - Anney, Richard
AU - Antony, Dinu
AU - Artigas, María Soler
AU - Ayub, Muhammad
AU - Bala, Senduran
AU - Barrett, Jeffrey C.
AU - Barroso, Inês
AU - Beales, Phil
AU - Benn, Marianne
AU - Bentham, Jamie
AU - Bhattacharya, Shoumo
AU - Birney, Ewan
AU - Blackwood, Douglas
AU - Bobrow, Martin
AU - Bochukova, Elena
AU - Bolton, Patrick F.
AU - Bounds, Rebecca
AU - Boustred, Chris
AU - Breen, Gerome
AU - Calissano, Mattia
AU - Carss, Keren
AU - Pablo Casas, Juan
AU - Chambers, John C.
AU - Charlton, Ruth
AU - Chatterjee, Krishna
AU - Chen, Lu
AU - Ciampi, Antonio
AU - Cirak, Sebahattin
AU - Clapham, Peter
AU - Clement, Gail
AU - Coates, Guy
AU - Cocca, Massimiliano
AU - Collier, David A.
AU - Cosgrove, Catherine
AU - Cox, Tony
AU - Craddock, Nick
AU - Crooks, Lucy
AU - Curran, Sarah
AU - Curtis, David
AU - Daly, Allan
AU - Day, Ian N. M.
AU - Day-williams, Aaron
AU - Dedoussis, George
AU - Down, Thomas
AU - Du, Yuanping
AU - Van Duijn, Cornelia M.
AU - Dunham, Ian
AU - Edkins, Sarah
AU - Ekong, Rosemary
AU - Ellis, Peter
AU - Evans, David M.
AU - Farooqi, I. Sadaf
AU - Fitzpatrick, David R.
AU - Flicek, Paul
AU - Floyd, James
AU - Foley, A. Reghan
AU - Franklin, Christopher S.
AU - Futema, Marta
AU - Gallagher, Louise
AU - Gasparini, Paolo
AU - Gaunt, Tom R.
AU - Geihs, Matthias
AU - Geschwind, Daniel
AU - Greenwood, Celia
AU - Griffin, Heather
AU - Grozeva, Detelina
AU - Guo, Xiaosen
AU - Guo, Xueqin
AU - Gurling, Hugh
AU - Hart, Deborah
AU - Hendricks, Audrey E.
AU - Holmans, Peter
AU - Huang, Liren
AU - Hubbard, Tim
AU - Humphries, Steve E.
AU - Hurles, Matthew E.
AU - Hysi, Pirro
AU - Iotchkova, Valentina
AU - Isaacs, Aaron
AU - Jackson, David K.
AU - Jamshidi, Yalda
AU - Johnson, Jon
AU - Joyce, Chris
AU - Karczewski, Konrad J.
AU - Kaye, Jane
AU - Keane, Thomas
AU - Kemp, John P.
AU - Kennedy, Karen
AU - Kent, Alastair
AU - Keogh, Julia
AU - Khawaja, Farrah
AU - Kleber, Marcus E.
AU - Van Kogelenberg, Margriet
AU - Kolb-kokocinski, Anja
AU - Kooner, Jaspal S.
AU - Lachance, Genevieve
AU - Langenberg, Claudia
AU - Langford, Cordelia
AU - Lawson, Daniel
AU - Lee, Irene
AU - Van Leeuwen, Elisabeth M.
AU - Lek, Monkol
AU - Li, Rui
AU - Li, Yingrui
AU - Liang, Jieqin
AU - Lin, Hong
AU - Liu, Ryan
AU - Lönnqvist, Jouko
AU - Lopes, Luis R.
AU - Lopes, Margarida
AU - Luan, Jian'an
AU - Macarthur, Daniel G.
AU - Mangino, Massimo
AU - Marenne, Gaëlle
AU - März, Winfried
AU - Maslen, John
AU - Matchan, Angela
AU - Mathieson, Iain
AU - Mcguffin, Peter
AU - Mcintosh, Andrew M.
AU - Mckechanie, Andrew G.
AU - Mcquillin, Andrew
AU - Metrustry, Sarah
AU - Migone, Nicola
AU - Mitchison, Hannah M.
AU - Moayyeri, Alireza
AU - Morris, James
AU - Morris, Richard
AU - Muddyman, Dawn
AU - Muntoni, Francesco
AU - Nordestgaard, Børge
AU - Northstone, Kate
AU - O'donovan, Michael C.
AU - O'rahilly, Stephen
AU - Onoufriadis, Alexandros
AU - Oualkacha, Karim
AU - Owen, Michael J.
AU - Palotie, Aarno
AU - Panoutsopoulou, Kalliope
AU - Parker, Victoria
AU - Parr, Jeremy R.
AU - Paternoster, Lavinia
AU - Paunio, Tiina
AU - Payne, Felicity
AU - Payne, Stewart J.
AU - Perry, John R. B.
AU - Pietilainen, Olli
AU - Plagnol, Vincent
AU - Pollitt, Rebecca C.
AU - Povey, Sue
AU - Quail, Michael A.
AU - Quaye, Lydia
AU - Raymond, Lucy
AU - Rehnström, Karola
AU - Ridout, Cheryl K.
AU - Ring, Susan
AU - Ritchie, Graham R. S.
AU - Roberts, Nicola
AU - Robinson, Rachel L.
AU - Savage, David B.
AU - Scambler, Peter
AU - Schiffels, Stephan
AU - Schmidts, Miriam
AU - Schoenmakers, Nadia
AU - Scott, Richard H.
AU - Scott, Robert A.
AU - Semple, Robert K.
AU - Serra, Eva
AU - Sharp, Sally I.
AU - Shaw, Adam
AU - Shihab, Hashem A.
AU - Shin, So-youn
AU - Skuse, David
AU - Small, Kerrin S.
AU - Smee, Carol
AU - Smith, George Davey
AU - Southam, Lorraine
AU - Spasic-boskovic, Olivera
AU - Spector, Timothy D.
AU - St Clair, David
AU - St Pourcain, Beate
AU - Stalker, Jim
AU - Stevens, Elizabeth
AU - Sun, Jianping
AU - Surdulescu, Gabriela
AU - Suvisaari, Jaana
AU - Syrris, Petros
AU - Tachmazidou, Ioanna
AU - Taylor, Rohan
AU - Tian, Jing
AU - Tobin, Martin D.
AU - Toniolo, Daniela
AU - Traglia, Michela
AU - Tybjærg-Hansen, Anne
AU - Valdes, Ana M.
AU - Vandersteen, Anthony M.
AU - Varbo, Anette
AU - Vijayarangakannan, Parthiban
AU - Visscher, Peter M.
AU - Wain, Louise V.
AU - Walters, James T. R.
AU - Wang, Guangbiao
AU - Wang, Jun
AU - Wang, Yu
AU - Ward, Kirsten
AU - Wheeler, Eleanor
AU - Whincup, Peter
AU - Whyte, Tamieka
AU - Williams, Hywel J.
AU - Williamson, Kathleen A.
AU - Wilson, Crispian
AU - Wilson, Scott G.
AU - Wong, Kim
AU - Xu, Changjiang
AU - Yang, Jian
AU - Zaza, Gianluigi
AU - Zeggini, Eleftheria
AU - Zhang, Feng
AU - Zhang, Pingbo
AU - Zhang, Weihua
AU - Gambaro, Giovanni
AU - Richards, J. Brent
AU - Durbin, Richard
AU - Timpson, Nicholas J.
AU - Marchini, Jonathan
AU - Soranzo, Nicole
PY - 2015/9/14
Y1 - 2015/9/14
N2 - 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.
AB - 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.
U2 - 10.1038/ncomms9111
DO - 10.1038/ncomms9111
M3 - Journal article
C2 - 26368830
SN - 2041-1723
VL - 6
JO - Nature Communications
JF - Nature Communications
M1 - 8111
ER -