Evidence map›Paper›PMID 23160641›Full record

ArticleDiabetologia2013

Exome sequencing-driven discovery of coding polymorphisms associated with common metabolic phenotypes.

A Albrechtsen, N Grarup, Y Li, T Sparsø, G Tian, H Cao, T Jiang, S Y Kim, T Korneliussen, Q Li and 98 more

Abstract read
In one paragraph

Article in Diabetologia, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 82 papers, 9 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
82citing papers in PubMed, 9 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

82 citing papers in PubMed, 9 syntheses or guidelines pooled it.

  1. Pooled it
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  6. Pleiotropic genes for metabolic syndrome and inflammation.Molecular genetics and metabolism · 2014
    Pooled it
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  10. Article
  11. A clinical and genotype-phenotype analysis of MACF1 variants.American journal of human genetics · 2025
    Article
  12. Article
  13. ZebrafishFrontiers in cell and developmental biology · 2024
    Article
  14. Article
  15. Article
  16. Review
  17. Review
  18. Biomedicines · 2022
    Article
  19. Article
  20. Diabetes: discovery of insulin, genetic, epigenetic and viral infection mediated regulation.The Nucleus : an international journal of cytology and allied topics · 2022
    Review

22 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

108 authors.

A AlbrechtsenCentre of Bioinformatics, Faculty of Science, University of Copenhagen, Copenhagen, Denmark.
N Grarup
Y Li
T Sparsø
G Tian
H Cao
T Jiang
S Y Kim
T Korneliussen
Q Li
C Nie
R Wu
L Skotte
A P Morris
C Ladenvall
S Cauchi
A Stančáková
G Andersen
A Astrup
K Banasik
A J Bennett
L Bolund
G Charpentier
Y Chen
J M Dekker
A S F Doney
M Dorkhan
T Forsen
T M Frayling
C J Groves
Y Gui
G Hallmans
A T Hattersley
K He
G A Hitman
J Holmkvist
S Huang
H Jiang
X Jin
J M Justesen
K Kristiansen
J Kuusisto
M Lajer
O Lantieri
W Li
H Liang
Q Liao
X Liu
T Ma
X Ma
M P Manijak
M Marre
J Mokrosiński
A D Morris
B Mu
A A Nielsen
G Nijpels
P Nilsson
C N A Palmer
N W Rayner
F Renström
R Ribel-Madsen
N Robertson
O Rolandsson
P Rossing
T W Schwartz
D.E.S.I.R. Study Group
P E Slagboom
M Sterner
DIAGRAM Consortium
M Tang
L Tarnow
T Tuomi
E van't Riet
N van Leeuwen
T V Varga
M A Vestmar
M Walker
B Wang
Y Wang
H Wu
F Xi
L Yengo
C Yu
X Zhang
J Zhang
Q Zhang
W Zhang
H Zheng
Y Zhou
D Altshuler
L M 't Hart
P W Franks
B Balkau
P Froguel
M I McCarthy
M Laakso
L Groop
C Christensen
I Brandslund
T Lauritzen
D R Witte
A Linneberg
T Jørgensen
T Hansen
J Wang
R Nielsen
O Pedersen

Funding

Medical Research Council G0000649Medical Research Council G0000934Medical Research Council G1002084Wellcome Trust 06854/Z/02/ZWellcome Trust 076113/C/04/ZWellcome Trust 083270Wellcome Trust 090532Wellcome Trust GR072960
6 · The paper itself

Abstract

aims/hypothesisHuman complex metabolic traits are in part regulated by genetic determinants. Here we applied exome sequencing to identify novel associations of coding polymorphisms at minor allele frequencies (MAFs) >1% with common metabolic phenotypes.

methodsThe study comprised three stages. We performed medium-depth (8×) whole exome sequencing in 1,000 cases with type 2 diabetes, BMI >27.5 kg/m(2) and hypertension and in 1,000 controls (stage 1). We selected 16,192 polymorphisms nominally associated (p < 0.05) with case-control status, from four selected annotation categories or from loci reported to associate with metabolic traits. These variants were genotyped in 15,989 Danes to search for association with 12 metabolic phenotypes (stage 2). In stage 3, polymorphisms showing potential associations were genotyped in a further 63,896 Europeans.

resultsExome sequencing identified 70,182 polymorphisms with MAF >1%. In stage 2 we identified 51 potential associations with one or more of eight metabolic phenotypes covered by 45 unique polymorphisms. In meta-analyses of stage 2 and stage 3 results, we demonstrated robust associations for coding polymorphisms in CD300LG (fasting HDL-cholesterol: MAF 3.5%, p = 8.5 × 10(-14)), COBLL1 (type 2 diabetes: MAF 12.5%, OR 0.88, p = 1.2 × 10(-11)) and MACF1 (type 2 diabetes: MAF 23.4%, OR 1.10, p = 8.2 × 10(-10)). CONCLUSIONS/

interpretationWe applied exome sequencing as a basis for finding genetic determinants of metabolic traits and show the existence of low-frequency and common coding polymorphisms with impact on common metabolic traits. Based on our study, coding polymorphisms with MAF above 1% do not seem to have particularly high effect sizes on the measured metabolic traits.

Indexed as

Diabetes Mellitus, Type 2ExomeGene FrequencyGenotypeHigh-Throughput Nucleotide SequencingHumansHypertensionPolymorphism, GeneticPolymorphism, Single Nucleotide

Identifiers

PMID23160641
PMCPMC3536959

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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.