Evidence map›Paper›PMID 24290377›Full record

ArticleAmerican journal of human genetics2013

Whole-exome sequencing of 2,000 Danish individuals and the role of rare coding variants in type 2 diabetes.

Kirk E Lohmueller, Thomas Sparsø, Qibin Li, Ehm Andersson, Thorfinn Korneliussen, Anders Albrechtsen, Karina Banasik, Niels Grarup, Ingileif Hallgrimsdottir, Kristoffer Kiil and 16 more

Erratum issuedAbstract read
In one paragraph

Article in American journal of human genetics, 2013. 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 78 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
78citing papers in PubMed, 1 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

78 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Article
  4. HGG advances · 2023
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  17. A rare missense variant inHereditary cancer in clinical practice · 2020
    Article
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  19. Review
  20. Article

18 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

26 authors.

Kirk E LohmuellerDepartment of Integrative Biology, University of California, Berkeley, Berkeley, CA 94720, USA.
Thomas Sparsø
Qibin Li
Ehm Andersson
Thorfinn Korneliussen
Anders Albrechtsen
Karina Banasik
Niels Grarup
Ingileif Hallgrimsdottir
Kristoffer Kiil
Tuomas O Kilpeläinen
Nikolaj T Krarup
Tune H Pers
Gaston Sanchez
Youna Hu
Michael Degiorgio
Torben Jørgensen
Annelli Sandbæk
Torsten Lauritzen
Søren Brunak
Karsten Kristiansen
Yingrui Li
Torben Hansen
Jun Wang
Rasmus Nielsen
Oluf Pedersen

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

It has been hypothesized that, in aggregate, rare variants in coding regions of genes explain a substantial fraction of the heritability of common diseases. We sequenced the exomes of 1,000 Danish cases with common forms of type 2 diabetes (including body mass index > 27.5 kg/m(2) and hypertension) and 1,000 healthy controls to an average depth of 56×. Our simulations suggest that our study had the statistical power to detect at least one causal gene (a gene containing causal mutations) if the heritability of these common diseases was explained by rare variants in the coding regions of a limited number of genes. We applied a series of gene-based tests to detect such susceptibility genes. However, no gene showed a significant association with disease risk after we corrected for the number of genes analyzed. Thus, we could reject a model for the genetic architecture of type 2 diabetes where rare nonsynonymous variants clustered in a modest number of genes (fewer than 20) are responsible for the majority of disease risk.

Indexed as

ExomeGenetic VariationOpen Reading FramesComputational BiologyDenmarkDiabetes Mellitus, Type 2Genetic Association StudiesGenotypeHigh-Throughput Nucleotide SequencingHumansModels, StatisticalPolymorphism, Single NucleotideWhite People

Identifiers

PMID24290377
PMCPMC3852935

What OpenQuestion holds

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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.