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.
Original language | English |
---|---|
Pages (from-to) | 82-89 |
Number of pages | 8 |
Journal | Nature |
Volume | 526 |
Issue number | 7571 |
DOIs | |
State | Published - 1 Oct 2015 |
Externally published | Yes |
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In: Nature, Vol. 526, No. 7571, 01.10.2015, p. 82-89.
Research output: Contribution to journal › Article › peer-review
TY - JOUR
T1 - The UK10K project identifies rare variants in health and disease
AU - Walter, Klaudia
AU - Min, Josine L.
AU - Huang, Jie
AU - Crooks, Lucy
AU - Memari, Yasin
AU - McCarthy, Shane
AU - Perry, John R.B.
AU - Xu, Changjiang
AU - Futema, Marta
AU - Lawson, Daniel
AU - Iotchkova, Valentina
AU - Schiffels, Stephan
AU - Hendricks, Audrey E.
AU - Danecek, Petr
AU - Li, Rui
AU - Floyd, James
AU - Wain, Louise V.
AU - Barroso, Inês
AU - Humphries, Steve E.
AU - Hurles, Matthew E.
AU - Zeggini, Eleftheria
AU - Barrett, Jeffrey C.
AU - Plagnol, Vincent
AU - Richards, J. Brent
AU - Greenwood, Celia M.T.
AU - Timpson, Nicholas J.
AU - Durbin, Richard
AU - Bala, Senduran
AU - Clapham, Peter
AU - Coates, Guy
AU - Cox, Tony
AU - Daly, Allan
AU - Du, Yuanping
AU - Edkins, Sarah
AU - Ellis, Peter
AU - Flicek, Paul
AU - Guo, Xiaosen
AU - Guo, Xueqin
AU - Huang, Liren
AU - Jackson, David K.
AU - Joyce, Chris
AU - Keane, Thomas
AU - Kolb-Kokocinski, Anja
AU - Langford, Cordelia
AU - Li, Yingrui
AU - Liang, Jieqin
AU - Lin, Hong
AU - Liu, Ryan
AU - Maslen, John
AU - Muddyman, Dawn
AU - Quail, Michael A.
AU - Stalker, Jim
AU - Sun, Jianping
AU - Tian, Jing
AU - Wang, Guangbiao
AU - Wang, Jun
AU - Wang, Yu
AU - Wong, Kim
AU - Zhang, Pingbo
AU - Birney, Ewan
AU - Boustred, Chris
AU - Chen, Lu
AU - Clement, Gail
AU - Cocca, Massimiliano
AU - Smith, George Davey
AU - Day, Ian N.M.
AU - Day-Williams, Aaron
AU - Down, Thomas
AU - Dunham, Ian
AU - Evans, David M.
AU - Gaunt, Tom R.
AU - Geihs, Matthias
AU - Hart, Deborah
AU - Howie, Bryan
AU - Hubbard, Tim
AU - Hysi, Pirro
AU - Jamshidi, Yalda
AU - Karczewski, Konrad J.
AU - Kemp, John P.
AU - Lachance, Genevieve
AU - Lek, Monkol
AU - Lopes, Margarida
AU - MacArthur, Daniel G.
AU - Marchini, Jonathan
AU - Mangino, Massimo
AU - Mathieson, Iain
AU - Metrustry, Sarah
AU - Moayyeri, Alireza
AU - Northstone, Kate
AU - Panoutsopoulou, Kalliope
AU - Paternoster, Lavinia
AU - Quaye, Lydia
AU - Ring, Susan
AU - Ritchie, Graham R.S.
AU - Shihab, Hashem A.
AU - Shin, So Youn
AU - Small, Kerrin S.
AU - Artigas, María Soler
AU - Soranzo, Nicole
AU - Southam, Lorraine
AU - Spector, Timothy D.
AU - St Pourcain, Beate
AU - Surdulescu, Gabriela
AU - Tachmazidou, Ioanna
AU - Tobin, Martin D.
AU - Valdes, Ana M.
AU - Visscher, Peter M.
AU - Ward, Kirsten
AU - Wilson, Scott G.
AU - Yang, Jian
AU - Zhang, Feng
AU - Zheng, Hou Feng
AU - Anney, Richard
AU - Ayub, Muhammad
AU - Blackwood, Douglas
AU - Bolton, Patrick F.
AU - Breen, Gerome
AU - Collier, David A.
AU - Craddock, Nick
AU - Curran, Sarah
AU - Curtis, David
AU - Gallagher, Louise
AU - Geschwind, Daniel
AU - Gurling, Hugh
AU - Holmans, Peter
AU - Lee, Irene
AU - Lönnqvist, Jouko
AU - McGuffin, Peter
AU - McIntosh, Andrew M.
AU - McKechanie, Andrew G.
AU - McQuillin, Andrew
AU - Morris, James
AU - O'Donovan, Michael C.
AU - Owen, Michael J.
AU - Palotie, Aarno
AU - Parr, Jeremy R.
AU - Paunio, Tiina
AU - Pietilainen, Olli
AU - Rehnström, Karola
AU - Sharp, Sally I.
AU - Skuse, David
AU - St Clair, David
AU - Suvisaari, Jaana
AU - Walters, James T.R.
AU - Williams, Hywel J.
AU - Bochukova, Elena
AU - Bounds, Rebecca
AU - Dominiczak, Anna
AU - Farooqi, I. Sadaf
AU - Keogh, Julia
AU - Marenne, Gaëlle
AU - Morris, Andrew
AU - O'Rahilly, Stephen
AU - Porteous, David J.
AU - Smith, Blair H.
AU - Wheeler, Eleanor
AU - Al Turki, Saeed
AU - Anderson, Carl A.
AU - Antony, Dinu
AU - Beales, Phil
AU - Bentham, Jamie
AU - Bhattacharya, Shoumo
AU - Calissano, Mattia
AU - Carss, Keren
AU - Chatterjee, Krishna
AU - Cirak, Sebahattin
AU - Cosgrove, Catherine
AU - Fitzpatrick, David R.
AU - Foley, A. Reghan
AU - Franklin, Christopher S.
AU - Grozeva, Detelina
AU - Mitchison, Hannah M.
AU - Muntoni, Francesco
AU - Onoufriadis, Alexandros
AU - Parker, Victoria
AU - Payne, Felicity
AU - Raymond, F. Lucy
AU - Roberts, Nicola
AU - Savage, David B.
AU - Scambler, Peter
AU - Schmidts, Miriam
AU - Schoenmakers, Nadia
AU - Semple, Robert K.
AU - Serra, Eva
AU - Spasic-Boskovic, Olivera
AU - Stevens, Elizabeth
AU - Van Kogelenberg, Margriet
AU - Vijayarangakannan, Parthiban
AU - Williamson, Kathleen A.
AU - Wilson, Crispian
AU - Whyte, Tamieka
AU - Ciampi, Antonio
AU - Oualkacha, Karim
AU - Bobrow, Martin
AU - Griffin, Heather
AU - Kaye, Jane
AU - Kennedy, Karen
AU - Kent, Alastair
AU - Smee, Carol
AU - Charlton, Ruth
AU - Ekong, Rosemary
AU - Khawaja, Farrah
AU - Lopes, Luis R.
AU - Migone, Nicola
AU - Payne, Stewart J.
AU - Pollitt, Rebecca C.
AU - Povey, Sue
AU - Ridout, Cheryl K.
AU - Robinson, Rachel L.
AU - Scott, Richard H.
AU - Shaw, Adam
AU - Syrris, Petros
AU - Taylor, Rohan
AU - Vandersteen, Anthony M.
AU - Amuzu, Antoinette
AU - Casas, Juan Pablo
AU - Chambers, John C.
AU - Dedoussis, George
AU - Gambaro, Giovanni
AU - Gasparini, Paolo
AU - Isaacs, Aaron
AU - Johnson, Jon
AU - Kleber, Marcus E.
AU - Kooner, Jaspal S.
AU - Langenberg, Claudia
AU - Luan, Jian'an
AU - Malerba, Giovanni
AU - März, Winfried
AU - Matchan, Angela
AU - Morris, Richard
AU - Nordestgaard, Børge G.
AU - Benn, Marianne
AU - Scott, Robert A.
AU - Toniolo, Daniela
AU - Traglia, Michela
AU - Tybjaerg-Hansen, Anne
AU - Van Duijn, Cornelia M.
AU - Van Leeuwen, Elisabeth M.
AU - Varbo, Anette
AU - Whincup, Peter
AU - Zaza, Gianluigi
AU - Zhang, Weihua
N1 - Publisher Copyright: © 2015 Macmillan Publishers Limited. All rights reserved.
PY - 2015/10/1
Y1 - 2015/10/1
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84943182742&partnerID=8YFLogxK
U2 - 10.1038/nature14962
DO - 10.1038/nature14962
M3 - Article
C2 - 26367797
AN - SCOPUS:84943182742
SN - 0028-0836
VL - 526
SP - 82
EP - 89
JO - Nature
JF - Nature
IS - 7571
ER -