Evidence map›Paper›PMID 24896149›Full record

ArticleEuropean journal of human genetics : EJHG2014

Improved imputation quality of low-frequency and rare variants in European samples using the 'Genome of The Netherlands'.

Patrick Deelen, Androniki Menelaou, Elisabeth M van Leeuwen, Alexandros Kanterakis, Freerk van Dijk, Carolina Medina-Gomez, Laurent C Francioli, Jouke Jan Hottenga, Lennart C Karssen, Karol Estrada and 14 more

Abstract read
In one paragraph

Article in European journal of human genetics : EJHG, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 67 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
67citing papers in PubMed, 5 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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3 · Its place in the literature

Who cites it

67 citing papers in PubMed, 5 syntheses or guidelines pooled it.

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7 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

24 authors.

Patrick Deelen1] University of Groningen, University Medical Center Groningen, Department of Genetics, Groningen, The Netherlands [2] University of Groningen, University Medical Center Groningen, Genomics Coordination Center, Groningen, The Netherlands.ORCID 0000000256543966
Androniki MenelaouDepartment of Medical Genetics, University Medical Center Utrecht, Utrecht, The Netherlands.
Elisabeth M van LeeuwenDepartment of Epidemiology, Genetic Epidemiology Unit, Erasmus Medical Center, Rotterdam, The Netherlands.
Alexandros Kanterakis1] University of Groningen, University Medical Center Groningen, Department of Genetics, Groningen, The Netherlands [2] University of Groningen, University Medical Center Groningen, Genomics Coordination Center, Groningen, The Netherlands.
Freerk van Dijk1] University of Groningen, University Medical Center Groningen, Department of Genetics, Groningen, The Netherlands [2] University of Groningen, University Medical Center Groningen, Genomics Coordination Center, Groningen, The Netherlands.
Carolina Medina-Gomez1] Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands [2] Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands [3] Netherlands Genomics Initiative (NGI)-sponsored Netherlands Consortium for Healthy Aging (NCHA), Rotterdam, The Netherlands.
Laurent C FrancioliDepartment of Medical Genetics, University Medical Center Utrecht, Utrecht, The Netherlands.
Jouke Jan HottengaDepartment of Biological Psychology, VU University Amsterdam, Amsterdam, The Netherlands.
Lennart C KarssenDepartment of Epidemiology, Genetic Epidemiology Unit, Erasmus Medical Center, Rotterdam, The Netherlands.
Karol Estrada1] Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands [2] Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands [3] Department of Medicine, Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA [4] Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Eskil Kreiner-Møller1] Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands [2] Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands [3] COPSAC; Copenhagen Prospective Studies on Asthma in Childhood; Faculty of Health Sciences, University of Copenhagen, Copenhagen, Denmark.ORCID 0000000312042438
Fernando Rivadeneira1] Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands [2] Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands [3] Netherlands Genomics Initiative (NGI)-sponsored Netherlands Consortium for Healthy Aging (NCHA), Rotterdam, The Netherlands.
Jessica van SettenDepartment of Medical Genetics, University Medical Center Utrecht, Utrecht, The Netherlands.
Javier Gutierrez-AchuryUniversity of Groningen, University Medical Center Groningen, Department of Genetics, Groningen, The Netherlands.
Harm-Jan WestraUniversity of Groningen, University Medical Center Groningen, Department of Genetics, Groningen, The Netherlands.ORCID 000000017038567X
Lude FrankeUniversity of Groningen, University Medical Center Groningen, Department of Genetics, Groningen, The Netherlands.
David van Enckevort1] University of Groningen, University Medical Center Groningen, Genomics Coordination Center, Groningen, The Netherlands [2] NBIC BioAssist, Netherlands Bioinformatics Center, Nijmegen, The Netherlands.
Martijn Dijkstra1] University of Groningen, University Medical Center Groningen, Department of Genetics, Groningen, The Netherlands [2] University of Groningen, University Medical Center Groningen, Genomics Coordination Center, Groningen, The Netherlands.
Heorhiy Byelas1] University of Groningen, University Medical Center Groningen, Department of Genetics, Groningen, The Netherlands [2] University of Groningen, University Medical Center Groningen, Genomics Coordination Center, Groningen, The Netherlands.
Cornelia M van DuijnDepartment of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands.
Genome of Netherlands Consortium
Paul I W de Bakker1] Department of Medical Genetics, University Medical Center Utrecht, Utrecht, The Netherlands [2] Department of Epidemiology, University Medical Center Utrecht, Utrecht, The Netherlands [3] Division of Genetics, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA [4] Broad Institute of Harvard and MIT, Cambridge, MA, USA.
Cisca WijmengaUniversity of Groningen, University Medical Center Groningen, Department of Genetics, Groningen, The Netherlands.
Morris A Swertz1] University of Groningen, University Medical Center Groningen, Department of Genetics, Groningen, The Netherlands [2] University of Groningen, University Medical Center Groningen, Genomics Coordination Center, Groningen, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although genome-wide association studies (GWAS) have identified many common variants associated with complex traits, low-frequency and rare variants have not been interrogated in a comprehensive manner. Imputation from dense reference panels, such as the 1000 Genomes Project (1000G), enables testing of ungenotyped variants for association. Here we present the results of imputation using a large, new population-specific panel: the Genome of The Netherlands (GoNL). We benchmarked the performance of the 1000G and GoNL reference sets by comparing imputation genotypes with 'true' genotypes typed on ImmunoChip in three European populations (Dutch, British, and Italian). GoNL showed significant improvement in the imputation quality for rare variants (MAF 0.05-0.5%) compared with 1000G. In Dutch samples, the mean observed Pearson correlation, r(2), increased from 0.61 to 0.71. We also saw improved imputation accuracy for other European populations (in the British samples, r(2) improved from 0.58 to 0.65, and in the Italians from 0.43 to 0.47). A combined reference set comprising 1000G and GoNL improved the imputation of rare variants even further. The Italian samples benefitted the most from this combined reference (the mean r(2) increased from 0.47 to 0.50). We conclude that the creation of a large population-specific reference is advantageous for imputing rare variants and that a combined reference panel across multiple populations yields the best imputation results.

Indexed as

Gene FrequencyGenome, HumanGenome-Wide Association StudyPolymorphism, Single NucleotideCase-Control StudiesCluster AnalysisDenmarkGenotypeGenotyping TechniquesHumansItalyNetherlandsPhenotypePrincipal Component AnalysisUnited KingdomWhite People

Identifiers

PMID24896149
PMCPMC4200431

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.