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Meta-analysis of 49 549 individuals imputed with the 1000 Genomes Project reveals an exonic damaging variant in ANGPTL4 determining fasting TG levels

BACKGROUND: So far, more than 170 loci have been associated with circulating lipid levels through genome-wide association studies (GWAS). These associations are largely driven by common variants, their function is often not known, and many are likely to be markers for the causal variants. In this st...

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Autores principales: van Leeuwen, Elisabeth M, Sabo, Aniko, Bis, Joshua C, Huffman, Jennifer E, Manichaikul, Ani, Smith, Albert V, Feitosa, Mary F, Demissie, Serkalem, Joshi, Peter K, Duan, Qing, Marten, Jonathan, van Klinken, Jan B, Surakka, Ida, Nolte, Ilja M, Zhang, Weihua, Mbarek, Hamdi, Li-Gao, Ruifang, Trompet, Stella, Verweij, Niek, Evangelou, Evangelos, Lyytikäinen, Leo-Pekka, Tayo, Bamidele O, Deelen, Joris, van der Most, Peter J, van der Laan, Sander W, Arking, Dan E, Morrison, Alanna, Dehghan, Abbas, Franco, Oscar H, Hofman, Albert, Rivadeneira, Fernando, Sijbrands, Eric J, Uitterlinden, Andre G, Mychaleckyj, Josyf C, Campbell, Archie, Hocking, Lynne J, Padmanabhan, Sandosh, Brody, Jennifer A, Rice, Kenneth M, White, Charles C, Harris, Tamara, Isaacs, Aaron, Campbell, Harry, Lange, Leslie A, Rudan, Igor, Kolcic, Ivana, Navarro, Pau, Zemunik, Tatijana, Salomaa, Veikko, Kooner, Angad S, Kooner, Jaspal S, Lehne, Benjamin, Scott, William R, Tan, Sian-Tsung, de Geus, Eco J, Milaneschi, Yuri, Penninx, Brenda W J H, Willemsen, Gonneke, de Mutsert, Renée, Ford, Ian, Gansevoort, Ron T, Segura-Lepe, Marcelo P, Raitakari, Olli T, Viikari, Jorma S, Nikus, Kjell, Forrester, Terrence, McKenzie, Colin A, de Craen, Anton J M, de Ruijter, Hester M, Pasterkamp, Gerard, Snieder, Harold, Oldehinkel, Albertine J, Slagboom, P Eline, Cooper, Richard S, Kähönen, Mika, Lehtimäki, Terho, Elliott, Paul, van der Harst, Pim, Jukema, J Wouter, Mook-Kanamori, Dennis O, Boomsma, Dorret I, Chambers, John C, Swertz, Morris, Ripatti, Samuli, Willems van Dijk, Ko, Vitart, Veronique, Polasek, Ozren, Hayward, Caroline, Wilson, James G, Wilson, James F, Gudnason, Vilmundur, Rich, Stephen S, Psaty, Bruce M, Borecki, Ingrid B, Boerwinkle, Eric, Rotter, Jerome I, Cupples, L Adrienne, van Duijn, Cornelia M
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4941146/
https://www.ncbi.nlm.nih.gov/pubmed/27036123
http://dx.doi.org/10.1136/jmedgenet-2015-103439
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author van Leeuwen, Elisabeth M
Sabo, Aniko
Bis, Joshua C
Huffman, Jennifer E
Manichaikul, Ani
Smith, Albert V
Feitosa, Mary F
Demissie, Serkalem
Joshi, Peter K
Duan, Qing
Marten, Jonathan
van Klinken, Jan B
Surakka, Ida
Nolte, Ilja M
Zhang, Weihua
Mbarek, Hamdi
Li-Gao, Ruifang
Trompet, Stella
Verweij, Niek
Evangelou, Evangelos
Lyytikäinen, Leo-Pekka
Tayo, Bamidele O
Deelen, Joris
van der Most, Peter J
van der Laan, Sander W
Arking, Dan E
Morrison, Alanna
Dehghan, Abbas
Franco, Oscar H
Hofman, Albert
Rivadeneira, Fernando
Sijbrands, Eric J
Uitterlinden, Andre G
Mychaleckyj, Josyf C
Campbell, Archie
Hocking, Lynne J
Padmanabhan, Sandosh
Brody, Jennifer A
Rice, Kenneth M
White, Charles C
Harris, Tamara
Isaacs, Aaron
Campbell, Harry
Lange, Leslie A
Rudan, Igor
Kolcic, Ivana
Navarro, Pau
Zemunik, Tatijana
Salomaa, Veikko
Kooner, Angad S
Kooner, Jaspal S
Lehne, Benjamin
Scott, William R
Tan, Sian-Tsung
de Geus, Eco J
Milaneschi, Yuri
Penninx, Brenda W J H
Willemsen, Gonneke
de Mutsert, Renée
Ford, Ian
Gansevoort, Ron T
Segura-Lepe, Marcelo P
Raitakari, Olli T
Viikari, Jorma S
Nikus, Kjell
Forrester, Terrence
McKenzie, Colin A
de Craen, Anton J M
de Ruijter, Hester M
Pasterkamp, Gerard
Snieder, Harold
Oldehinkel, Albertine J
Slagboom, P Eline
Cooper, Richard S
Kähönen, Mika
Lehtimäki, Terho
Elliott, Paul
van der Harst, Pim
Jukema, J Wouter
Mook-Kanamori, Dennis O
Boomsma, Dorret I
Chambers, John C
Swertz, Morris
Ripatti, Samuli
Willems van Dijk, Ko
Vitart, Veronique
Polasek, Ozren
Hayward, Caroline
Wilson, James G
Wilson, James F
Gudnason, Vilmundur
Rich, Stephen S
Psaty, Bruce M
Borecki, Ingrid B
Boerwinkle, Eric
Rotter, Jerome I
Cupples, L Adrienne
van Duijn, Cornelia M
author_facet van Leeuwen, Elisabeth M
Sabo, Aniko
Bis, Joshua C
Huffman, Jennifer E
Manichaikul, Ani
Smith, Albert V
Feitosa, Mary F
Demissie, Serkalem
Joshi, Peter K
Duan, Qing
Marten, Jonathan
van Klinken, Jan B
Surakka, Ida
Nolte, Ilja M
Zhang, Weihua
Mbarek, Hamdi
Li-Gao, Ruifang
Trompet, Stella
Verweij, Niek
Evangelou, Evangelos
Lyytikäinen, Leo-Pekka
Tayo, Bamidele O
Deelen, Joris
van der Most, Peter J
van der Laan, Sander W
Arking, Dan E
Morrison, Alanna
Dehghan, Abbas
Franco, Oscar H
Hofman, Albert
Rivadeneira, Fernando
Sijbrands, Eric J
Uitterlinden, Andre G
Mychaleckyj, Josyf C
Campbell, Archie
Hocking, Lynne J
Padmanabhan, Sandosh
Brody, Jennifer A
Rice, Kenneth M
White, Charles C
Harris, Tamara
Isaacs, Aaron
Campbell, Harry
Lange, Leslie A
Rudan, Igor
Kolcic, Ivana
Navarro, Pau
Zemunik, Tatijana
Salomaa, Veikko
Kooner, Angad S
Kooner, Jaspal S
Lehne, Benjamin
Scott, William R
Tan, Sian-Tsung
de Geus, Eco J
Milaneschi, Yuri
Penninx, Brenda W J H
Willemsen, Gonneke
de Mutsert, Renée
Ford, Ian
Gansevoort, Ron T
Segura-Lepe, Marcelo P
Raitakari, Olli T
Viikari, Jorma S
Nikus, Kjell
Forrester, Terrence
McKenzie, Colin A
de Craen, Anton J M
de Ruijter, Hester M
Pasterkamp, Gerard
Snieder, Harold
Oldehinkel, Albertine J
Slagboom, P Eline
Cooper, Richard S
Kähönen, Mika
Lehtimäki, Terho
Elliott, Paul
van der Harst, Pim
Jukema, J Wouter
Mook-Kanamori, Dennis O
Boomsma, Dorret I
Chambers, John C
Swertz, Morris
Ripatti, Samuli
Willems van Dijk, Ko
Vitart, Veronique
Polasek, Ozren
Hayward, Caroline
Wilson, James G
Wilson, James F
Gudnason, Vilmundur
Rich, Stephen S
Psaty, Bruce M
Borecki, Ingrid B
Boerwinkle, Eric
Rotter, Jerome I
Cupples, L Adrienne
van Duijn, Cornelia M
author_sort van Leeuwen, Elisabeth M
collection PubMed
description BACKGROUND: So far, more than 170 loci have been associated with circulating lipid levels through genome-wide association studies (GWAS). These associations are largely driven by common variants, their function is often not known, and many are likely to be markers for the causal variants. In this study we aimed to identify more new rare and low-frequency functional variants associated with circulating lipid levels. METHODS: We used the 1000 Genomes Project as a reference panel for the imputations of GWAS data from ∼60 000 individuals in the discovery stage and ∼90 000 samples in the replication stage. RESULTS: Our study resulted in the identification of five new associations with circulating lipid levels at four loci. All four loci are within genes that can be linked biologically to lipid metabolism. One of the variants, rs116843064, is a damaging missense variant within the ANGPTL4 gene. CONCLUSIONS: This study illustrates that GWAS with high-scale imputation may still help us unravel the biological mechanism behind circulating lipid levels.
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spelling pubmed-49411462016-07-13 Meta-analysis of 49 549 individuals imputed with the 1000 Genomes Project reveals an exonic damaging variant in ANGPTL4 determining fasting TG levels van Leeuwen, Elisabeth M Sabo, Aniko Bis, Joshua C Huffman, Jennifer E Manichaikul, Ani Smith, Albert V Feitosa, Mary F Demissie, Serkalem Joshi, Peter K Duan, Qing Marten, Jonathan van Klinken, Jan B Surakka, Ida Nolte, Ilja M Zhang, Weihua Mbarek, Hamdi Li-Gao, Ruifang Trompet, Stella Verweij, Niek Evangelou, Evangelos Lyytikäinen, Leo-Pekka Tayo, Bamidele O Deelen, Joris van der Most, Peter J van der Laan, Sander W Arking, Dan E Morrison, Alanna Dehghan, Abbas Franco, Oscar H Hofman, Albert Rivadeneira, Fernando Sijbrands, Eric J Uitterlinden, Andre G Mychaleckyj, Josyf C Campbell, Archie Hocking, Lynne J Padmanabhan, Sandosh Brody, Jennifer A Rice, Kenneth M White, Charles C Harris, Tamara Isaacs, Aaron Campbell, Harry Lange, Leslie A Rudan, Igor Kolcic, Ivana Navarro, Pau Zemunik, Tatijana Salomaa, Veikko Kooner, Angad S Kooner, Jaspal S Lehne, Benjamin Scott, William R Tan, Sian-Tsung de Geus, Eco J Milaneschi, Yuri Penninx, Brenda W J H Willemsen, Gonneke de Mutsert, Renée Ford, Ian Gansevoort, Ron T Segura-Lepe, Marcelo P Raitakari, Olli T Viikari, Jorma S Nikus, Kjell Forrester, Terrence McKenzie, Colin A de Craen, Anton J M de Ruijter, Hester M Pasterkamp, Gerard Snieder, Harold Oldehinkel, Albertine J Slagboom, P Eline Cooper, Richard S Kähönen, Mika Lehtimäki, Terho Elliott, Paul van der Harst, Pim Jukema, J Wouter Mook-Kanamori, Dennis O Boomsma, Dorret I Chambers, John C Swertz, Morris Ripatti, Samuli Willems van Dijk, Ko Vitart, Veronique Polasek, Ozren Hayward, Caroline Wilson, James G Wilson, James F Gudnason, Vilmundur Rich, Stephen S Psaty, Bruce M Borecki, Ingrid B Boerwinkle, Eric Rotter, Jerome I Cupples, L Adrienne van Duijn, Cornelia M J Med Genet Genome-Wide Studies BACKGROUND: So far, more than 170 loci have been associated with circulating lipid levels through genome-wide association studies (GWAS). These associations are largely driven by common variants, their function is often not known, and many are likely to be markers for the causal variants. In this study we aimed to identify more new rare and low-frequency functional variants associated with circulating lipid levels. METHODS: We used the 1000 Genomes Project as a reference panel for the imputations of GWAS data from ∼60 000 individuals in the discovery stage and ∼90 000 samples in the replication stage. RESULTS: Our study resulted in the identification of five new associations with circulating lipid levels at four loci. All four loci are within genes that can be linked biologically to lipid metabolism. One of the variants, rs116843064, is a damaging missense variant within the ANGPTL4 gene. CONCLUSIONS: This study illustrates that GWAS with high-scale imputation may still help us unravel the biological mechanism behind circulating lipid levels. BMJ Publishing Group 2016-07 2016-04-01 /pmc/articles/PMC4941146/ /pubmed/27036123 http://dx.doi.org/10.1136/jmedgenet-2015-103439 Text en Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/ This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
spellingShingle Genome-Wide Studies
van Leeuwen, Elisabeth M
Sabo, Aniko
Bis, Joshua C
Huffman, Jennifer E
Manichaikul, Ani
Smith, Albert V
Feitosa, Mary F
Demissie, Serkalem
Joshi, Peter K
Duan, Qing
Marten, Jonathan
van Klinken, Jan B
Surakka, Ida
Nolte, Ilja M
Zhang, Weihua
Mbarek, Hamdi
Li-Gao, Ruifang
Trompet, Stella
Verweij, Niek
Evangelou, Evangelos
Lyytikäinen, Leo-Pekka
Tayo, Bamidele O
Deelen, Joris
van der Most, Peter J
van der Laan, Sander W
Arking, Dan E
Morrison, Alanna
Dehghan, Abbas
Franco, Oscar H
Hofman, Albert
Rivadeneira, Fernando
Sijbrands, Eric J
Uitterlinden, Andre G
Mychaleckyj, Josyf C
Campbell, Archie
Hocking, Lynne J
Padmanabhan, Sandosh
Brody, Jennifer A
Rice, Kenneth M
White, Charles C
Harris, Tamara
Isaacs, Aaron
Campbell, Harry
Lange, Leslie A
Rudan, Igor
Kolcic, Ivana
Navarro, Pau
Zemunik, Tatijana
Salomaa, Veikko
Kooner, Angad S
Kooner, Jaspal S
Lehne, Benjamin
Scott, William R
Tan, Sian-Tsung
de Geus, Eco J
Milaneschi, Yuri
Penninx, Brenda W J H
Willemsen, Gonneke
de Mutsert, Renée
Ford, Ian
Gansevoort, Ron T
Segura-Lepe, Marcelo P
Raitakari, Olli T
Viikari, Jorma S
Nikus, Kjell
Forrester, Terrence
McKenzie, Colin A
de Craen, Anton J M
de Ruijter, Hester M
Pasterkamp, Gerard
Snieder, Harold
Oldehinkel, Albertine J
Slagboom, P Eline
Cooper, Richard S
Kähönen, Mika
Lehtimäki, Terho
Elliott, Paul
van der Harst, Pim
Jukema, J Wouter
Mook-Kanamori, Dennis O
Boomsma, Dorret I
Chambers, John C
Swertz, Morris
Ripatti, Samuli
Willems van Dijk, Ko
Vitart, Veronique
Polasek, Ozren
Hayward, Caroline
Wilson, James G
Wilson, James F
Gudnason, Vilmundur
Rich, Stephen S
Psaty, Bruce M
Borecki, Ingrid B
Boerwinkle, Eric
Rotter, Jerome I
Cupples, L Adrienne
van Duijn, Cornelia M
Meta-analysis of 49 549 individuals imputed with the 1000 Genomes Project reveals an exonic damaging variant in ANGPTL4 determining fasting TG levels
title Meta-analysis of 49 549 individuals imputed with the 1000 Genomes Project reveals an exonic damaging variant in ANGPTL4 determining fasting TG levels
title_full Meta-analysis of 49 549 individuals imputed with the 1000 Genomes Project reveals an exonic damaging variant in ANGPTL4 determining fasting TG levels
title_fullStr Meta-analysis of 49 549 individuals imputed with the 1000 Genomes Project reveals an exonic damaging variant in ANGPTL4 determining fasting TG levels
title_full_unstemmed Meta-analysis of 49 549 individuals imputed with the 1000 Genomes Project reveals an exonic damaging variant in ANGPTL4 determining fasting TG levels
title_short Meta-analysis of 49 549 individuals imputed with the 1000 Genomes Project reveals an exonic damaging variant in ANGPTL4 determining fasting TG levels
title_sort meta-analysis of 49 549 individuals imputed with the 1000 genomes project reveals an exonic damaging variant in angptl4 determining fasting tg levels
topic Genome-Wide Studies
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4941146/
https://www.ncbi.nlm.nih.gov/pubmed/27036123
http://dx.doi.org/10.1136/jmedgenet-2015-103439
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AT oldehinkelalbertinej metaanalysisof49549individualsimputedwiththe1000genomesprojectrevealsanexonicdamagingvariantinangptl4determiningfastingtglevels
AT slagboompeline metaanalysisof49549individualsimputedwiththe1000genomesprojectrevealsanexonicdamagingvariantinangptl4determiningfastingtglevels
AT cooperrichards metaanalysisof49549individualsimputedwiththe1000genomesprojectrevealsanexonicdamagingvariantinangptl4determiningfastingtglevels
AT kahonenmika metaanalysisof49549individualsimputedwiththe1000genomesprojectrevealsanexonicdamagingvariantinangptl4determiningfastingtglevels
AT lehtimakiterho metaanalysisof49549individualsimputedwiththe1000genomesprojectrevealsanexonicdamagingvariantinangptl4determiningfastingtglevels
AT elliottpaul metaanalysisof49549individualsimputedwiththe1000genomesprojectrevealsanexonicdamagingvariantinangptl4determiningfastingtglevels
AT vanderharstpim metaanalysisof49549individualsimputedwiththe1000genomesprojectrevealsanexonicdamagingvariantinangptl4determiningfastingtglevels
AT jukemajwouter metaanalysisof49549individualsimputedwiththe1000genomesprojectrevealsanexonicdamagingvariantinangptl4determiningfastingtglevels
AT mookkanamoridenniso metaanalysisof49549individualsimputedwiththe1000genomesprojectrevealsanexonicdamagingvariantinangptl4determiningfastingtglevels
AT boomsmadorreti metaanalysisof49549individualsimputedwiththe1000genomesprojectrevealsanexonicdamagingvariantinangptl4determiningfastingtglevels
AT chambersjohnc metaanalysisof49549individualsimputedwiththe1000genomesprojectrevealsanexonicdamagingvariantinangptl4determiningfastingtglevels
AT swertzmorris metaanalysisof49549individualsimputedwiththe1000genomesprojectrevealsanexonicdamagingvariantinangptl4determiningfastingtglevels
AT ripattisamuli metaanalysisof49549individualsimputedwiththe1000genomesprojectrevealsanexonicdamagingvariantinangptl4determiningfastingtglevels
AT willemsvandijkko metaanalysisof49549individualsimputedwiththe1000genomesprojectrevealsanexonicdamagingvariantinangptl4determiningfastingtglevels
AT vitartveronique metaanalysisof49549individualsimputedwiththe1000genomesprojectrevealsanexonicdamagingvariantinangptl4determiningfastingtglevels
AT polasekozren metaanalysisof49549individualsimputedwiththe1000genomesprojectrevealsanexonicdamagingvariantinangptl4determiningfastingtglevels
AT haywardcaroline metaanalysisof49549individualsimputedwiththe1000genomesprojectrevealsanexonicdamagingvariantinangptl4determiningfastingtglevels
AT wilsonjamesg metaanalysisof49549individualsimputedwiththe1000genomesprojectrevealsanexonicdamagingvariantinangptl4determiningfastingtglevels
AT wilsonjamesf metaanalysisof49549individualsimputedwiththe1000genomesprojectrevealsanexonicdamagingvariantinangptl4determiningfastingtglevels
AT gudnasonvilmundur metaanalysisof49549individualsimputedwiththe1000genomesprojectrevealsanexonicdamagingvariantinangptl4determiningfastingtglevels
AT richstephens metaanalysisof49549individualsimputedwiththe1000genomesprojectrevealsanexonicdamagingvariantinangptl4determiningfastingtglevels
AT psatybrucem metaanalysisof49549individualsimputedwiththe1000genomesprojectrevealsanexonicdamagingvariantinangptl4determiningfastingtglevels
AT boreckiingridb metaanalysisof49549individualsimputedwiththe1000genomesprojectrevealsanexonicdamagingvariantinangptl4determiningfastingtglevels
AT boerwinkleeric metaanalysisof49549individualsimputedwiththe1000genomesprojectrevealsanexonicdamagingvariantinangptl4determiningfastingtglevels
AT rotterjeromei metaanalysisof49549individualsimputedwiththe1000genomesprojectrevealsanexonicdamagingvariantinangptl4determiningfastingtglevels
AT cupplesladrienne metaanalysisof49549individualsimputedwiththe1000genomesprojectrevealsanexonicdamagingvariantinangptl4determiningfastingtglevels
AT vanduijncorneliam metaanalysisof49549individualsimputedwiththe1000genomesprojectrevealsanexonicdamagingvariantinangptl4determiningfastingtglevels