Evidence map›Paper›PMID 23263489›Full record

ArticleNature genetics2013

Exome array analysis identifies new loci and low-frequency variants influencing insulin processing and secretion.

Jeroen R Huyghe, Anne U Jackson, Marie P Fogarty, Martin L Buchkovich, Alena Stančáková, Heather M Stringham, Xueling Sim, Lingyao Yang, Christian Fuchsberger, Henna Cederberg and 19 more

Open access · greenAbstract read
In one paragraph

Article in Nature genetics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 183 papers, 9 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
183citing papers in PubMed, 9 pooled it
21.3field-weighted citation impact, top 1% of its field
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

183 citing papers in PubMed, 9 syntheses or guidelines pooled it, 293 citations in OpenAlex.

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  19. Insulin-related traits and prostate cancer: A Mendelian randomization study.Computational and structural biotechnology journal · 2024
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123 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

29 authors at 10 institutions in 2 countries.

Jeroen R HuygheCenter for Statistical Genetics, Department of Biostatistics, University of Michigan, Ann Arbor, Michigan, USA.
Anne U Jackson
Marie P Fogarty
Martin L Buchkovich
Alena Stančáková
Heather M Stringham
Xueling Sim
Lingyao Yang
Christian Fuchsberger
Henna Cederberg
Peter S Chines
Tanya M Teslovich
Jane M Romm
Hua Ling
Ivy McMullen
Roxann Ingersoll
Elizabeth W Pugh
Kimberly F Doheny
Benjamin M Neale
Mark J Daly
Johanna Kuusisto
Laura J Scott
Hyun Min Kang
Francis S Collins
Gonçalo R Abecasis
Richard M Watanabe
Michael Boehnke
Markku Laakso
Karen L Mohlke
Johns Hopkins University · USUniversity of Michigan–Ann Arbor · USStatistical Research (United States) · USUniversity of Eastern Finland · FIUniversity of North Carolina at Chapel Hill · USNational Human Genome Research Institute · USBroad Institute · USKeck Hospital of USC · USKuopio University Hospital · FIMassachusetts General Hospital · US

Funding

Genetic analysis of type II diabetes in Finnish populationZIAHG000024 · NHGRI · NATIONAL HUMAN GENOME RESEARCH INSTITUTE · PI ERDOS, MICHAEL · 2009 to 2025
$38.2M
Pilot & Feasibility ProgramP30DK043351 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI RAYMOND T CHUNG · 1991 to 2026
$35.3M
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
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
Targeted Genetic Analysis of T2D and Quantitative TraitsR01DK072193 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI KAREN L. MOHLKE · 2005 to 2026
$11.3M
Genetic epidemiology of rare and regulatory variants for metabolic traitsR01DK093757 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI KAREN L. MOHLKE · 2011 to 2026
$8.2M
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
GENETIC ANALYSIS OF TYPE II DIABETES IN FINNISH POPULATIONZ01HG000024 · NHGRI · NATIONAL HUMAN GENOME RESEARCH INSTITUTE · PI COLLINS, FRANCIS S. · 1995 to 2008
$6.2M
Identifying Genes for Type 2 Diabetes: FUSIONR56DK062370 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BOEHNKE, MICHAEL L · 2008 to 2008
$500k
Intramural NIH HHS Z01 HG000024NHGRI NIH HHS 1Z01 HG000024NHGRI NIH HHS T32 HG000040NIDDK NIH HHS DK062370NIDDK NIH HHS DK072193NIDDK NIH HHS DK093757NIDDK NIH HHS P30 DK020572NIDDK NIH HHS P30 DK043351NIDDK NIH HHS R01 DK062370NIDDK NIH HHS R01 DK072193NIDDK NIH HHS R01 DK093757NIDDK NIH HHS R56 DK062370NIDDK NIH HHS U01 DK062370
6 · The paper itself

Abstract

Insulin secretion has a crucial role in glucose homeostasis, and failure to secrete sufficient insulin is a hallmark of type 2 diabetes. Genome-wide association studies (GWAS) have identified loci contributing to insulin processing and secretion; however, a substantial fraction of the genetic contribution remains undefined. To examine low-frequency (minor allele frequency (MAF) 0.5-5%) and rare (MAF < 0.5%) nonsynonymous variants, we analyzed exome array data in 8,229 nondiabetic Finnish males using the Illumina HumanExome Beadchip. We identified low-frequency coding variants associated with fasting proinsulin concentrations at the SGSM2 and MADD GWAS loci and three new genes with low-frequency variants associated with fasting proinsulin or insulinogenic index: TBC1D30, KANK1 and PAM. We also show that the interpretation of single-variant and gene-based tests needs to consider the effects of noncoding SNPs both nearby and megabases away. This study demonstrates that exome array genotyping is a valuable approach to identify low-frequency variants that contribute to complex traits.

Indexed as

Genetic VariationAdaptor Proteins, Signal TransducingAmidine-LyasesCytoskeletal ProteinsDeath Domain Receptor Signaling Adaptor ProteinsExomeFastingFinlandGene FrequencyGenetics, PopulationGenotypeGuanine Nucleotide Exchange FactorsHumansInsulinInsulin SecretionIntracellular Signaling Peptides and ProteinsAdaptor Proteins, Signal TransducingAmidine-LyasesCytoskeletal ProteinsDeath Domain Receptor Signaling Adaptor ProteinsGuanine Nucleotide Exchange FactorsInsulinIntracellular Signaling Peptides and ProteinsKANK1 protein, humanMADD protein, humanMixed Function OxygenasesPAM protein, humanProinsulinSGSM2 protein, humanTumor Suppressor Proteins

Identifiers

PMID23263489
PMCPMC3727235
OpenAlexW2061604798

What OpenQuestion holds

Textmetadata
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Read underepoch 390

Registered trials

None linked

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.