Evidence map›Paper›PMID 22876189›Full record

ArticlePLoS genetics2012

The metabochip, a custom genotyping array for genetic studies of metabolic, cardiovascular, and anthropometric traits.

Benjamin F Voight, Hyun Min Kang, Jun Ding, Cameron D Palmer, Carlo Sidore, Peter S Chines, Noël P Burtt, Christian Fuchsberger, Yanming Li, Jeanette Erdmann and 39 more

Erratum issuedAbstract read
In one paragraph

Article in PLoS genetics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 324 papers, 23 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
324citing papers in PubMed, 23 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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

324 citing papers in PubMed, 23 syntheses or guidelines pooled it.

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

4 · The record

Corrections and comments

  • Erratum issued
5 · Who and what money

Authors and funding

49 authors.

Benjamin F VoightMedical Population Genetics, The Broad Institute of Harvard and Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America.
Hyun Min Kang
Jun Ding
Cameron D Palmer
Carlo Sidore
Peter S Chines
Noël P Burtt
Christian Fuchsberger
Yanming Li
Jeanette Erdmann
Timothy M Frayling
Iris M Heid
Anne U Jackson
Toby Johnson
Tuomas O Kilpeläinen
Cecilia M Lindgren
Andrew P Morris
Inga Prokopenko
Joshua C Randall
Richa Saxena
Nicole Soranzo
Elizabeth K Speliotes
Tanya M Teslovich
Eleanor Wheeler
Jared Maguire
Melissa Parkin
Simon Potter
N William Rayner
Neil Robertson
Kathleen Stirrups
Wendy Winckler
Serena Sanna
Antonella Mulas
Ramaiah Nagaraja
Francesco Cucca
Inês Barroso
Panos Deloukas
Ruth J F Loos
Sekar Kathiresan
Patricia B Munroe
Christopher Newton-Cheh
Arne Pfeufer
Nilesh J Samani
Heribert Schunkert
Joel N Hirschhorn
David Altshuler
Mark I McCarthy
Gonçalo R Abecasis
Michael Boehnke

Funding

Regional Pilot And Feasibility Study Grants ProgramP30DK020572 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Mehboob A Hussain · 2013 to 2026
$24.3M
University of Michigan Training Program in Genomic ScienceT32HG000040 · NHGRI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Sebastian Zoellner · 1995 to 2026
$16.4M
Statistical genetics of aging-related genomic and phenotypic changeZIAAG000693 · NIA · NATIONAL INSTITUTE ON AGING · PI DING, JUN · 2011 to 2025
$12.5M
Identifying Genes for Type 2 Diabetes: FUSIONU01DK062370 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BOEHNKE, MICHAEL L, SCOTT, LAURA J. · 2009 to 2021
$11.6M
Identifying Genes for Type 2 Diabetes:FUSIONR01DK062370 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BOEHNKE, MICHAEL L, SCOTT, LAURA J. · 2003 to 2025
$6.7M
DESIGN AND ANALYSIS OF HUMAN GENE MAPPING STUDIESR01HG000376 · NHGRI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BOEHNKE, MICHAEL L · 1993 to 2016
$5.5M
Robust Software Tools for Variant Identification and Functional AssessmentU01HG006513 · NHGRI · UNIVERSITY OF UTAH · PI ABECASIS, GONCALO, MARTH, GABOR T · 2012 to 2015
$4.2M
Genetics of Lipid Levels: Draft Sequencing of 1000 GenomesRC2HG005581 · NHGRI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ABECASIS, GONCALO · 2009 to 2010
$4.0M
Quality Control Genotype Calling and Study Design for 1000 Genomes ProjectU01HG005214 · NHGRI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ABECASIS, GONCALO · 2009 to 2010
$2.0M
Identifying Genes for Type 2 Diabetes: FUSIONR56DK062370 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BOEHNKE, MICHAEL L · 2008 to 2008
$500k
Design and Analysis of Human Gene Mapping StudiesR56HG000376 · NHGRI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BOEHNKE, MICHAEL L · 2017 to 2017
$400k
DESIGN ISSUES IN GENETIC LINKAGE AND SEGREGATION STUDIESR29HG000376 · NHGRI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BOEHNKE, MICHAEL · 1990 to 1992
–
British Heart FoundationMedical Research Council G0600717Medical Research Council MC_U106188470NHGRI NIH HHS HG000376NHGRI NIH HHS HG005214NHGRI NIH HHS HG005581NHGRI NIH HHS R01 HG000376NHGRI NIH HHS R56 HG000376NHGRI NIH HHS RC2 HG005581NHGRI NIH HHS T32 HG000040NHGRI NIH HHS U01 HG005214NHGRI NIH HHS U01 HG006513NIA NIH HHS N01-AG-1-2109NIDDK NIH HHS DK062370NIDDK NIH HHS P30 DK020572NIDDK NIH HHS R01 DK062370NIDDK NIH HHS R56 DK062370NIDDK NIH HHS U01 DK062370Wellcome Trust 064890Wellcome Trust 081682Wellcome Trust 090532Wellcome Trust 098051
6 · The paper itself

Abstract

Genome-wide association studies have identified hundreds of loci for type 2 diabetes, coronary artery disease and myocardial infarction, as well as for related traits such as body mass index, glucose and insulin levels, lipid levels, and blood pressure. These studies also have pointed to thousands of loci with promising but not yet compelling association evidence. To establish association at additional loci and to characterize the genome-wide significant loci by fine-mapping, we designed the "Metabochip," a custom genotyping array that assays nearly 200,000 SNP markers. Here, we describe the Metabochip and its component SNP sets, evaluate its performance in capturing variation across the allele-frequency spectrum, describe solutions to methodological challenges commonly encountered in its analysis, and evaluate its performance as a platform for genotype imputation. The metabochip achieves dramatic cost efficiencies compared to designing single-trait follow-up reagents, and provides the opportunity to compare results across a range of related traits. The metabochip and similar custom genotyping arrays offer a powerful and cost-effective approach to follow-up large-scale genotyping and sequencing studies and advance our understanding of the genetic basis of complex human diseases and traits.

Indexed as

Polymorphism, Single NucleotideQuantitative Trait LociAllelesAnthropometryCardiovascular DiseasesDiabetes Mellitus, Type 2Gene FrequencyGenome, HumanGenome-Wide Association StudyGenotypeGenotyping TechniquesHumansMetabolomicsOligonucleotide Array Sequence AnalysisPhenotype

Identifiers

PMID22876189
PMCPMC3410907

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Registered trials

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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.