Evidence map›Paper›PMID 30901536›Full record

ReviewCell2019

The Genetic Basis of Metabolic Disease.

Inês Barroso, Mark I McCarthy

Abstract readReview
In one paragraph

Review in Cell, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 68 papers.

0numbers the graph read from it
0cells of the map it votes in
68citing papers in PubMed
–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

68 citing papers in PubMed.

  1. Review
  2. Intranasal essential oils in therapy: advances in clinical applications and delivery mechanisms.Journal of traditional Chinese medicine = Chung i tsa chih ying wen pan · 2026
    Review
  3. Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. LysineFrontiers in molecular neuroscience · 2025
    Review
  18. Article
  19. Review
  20. Article

8 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

2 authors.

Inês BarrosoWellcome Sanger Institute, Hinxton, Cambridge CB10 1SA, UK. Electronic address: ines.barroso@mrc-epid.cam.ac.uk.
Mark I McCarthyWellcome Centre for Human Genetics, University of Oxford, Roosevelt Drive, Oxford OX3 7BN, UK; Oxford Centre for Diabetes, Endocrinology, and Metabolism, University of Oxford, Churchill Hospital, Old Road, Headington, Oxford OX3 7LJ, UK; Oxford NIHR Biomedical Research Centre, Churchill Hospital, Old Road, Headington, Oxford OX3 7LJ, UK.

Funding

Integrating genome-scale data to reveal causal mechanisms in type 2 diabetesU01DK105535 · NIDDK · UNIVERSITY OF OXFORD · PI GLOYN, ANNA LOUISE · 2015 to 2019
$1.7M
Medical Research Council MR/J010642/1Medical Research Council MR/L020149/1NIDDK NIH HHS U01 DK105535Wellcome Trust 090367Wellcome Trust 090532Wellcome Trust 098381Wellcome Trust 106130Wellcome Trust 203141Wellcome Trust WT206194
6 · The paper itself

Abstract

Recent developments in genetics and genomics are providing a detailed and systematic characterization of the genetic underpinnings of common metabolic diseases and traits, highlighting the inherent complexity within systems for homeostatic control and the many ways in which that control can fail. The genetic architecture underlying these common metabolic phenotypes is complex, with each trait influenced by hundreds of loci spanning a range of allele frequencies and effect sizes. Here, we review the growing appreciation of this complexity and how this has fostered the implementation of genome-scale approaches that deliver robust mechanistic inference and unveil new strategies for translational exploitation.

Indexed as

AllelesChromosome MappingGene FrequencyGenetic Predisposition to DiseaseGenetic VariationGenome-Wide Association StudyHumansMetabolic DiseasesPhenotypeQuantitative Trait Loci

Identifiers

PMID30901536
PMCPMC6432945

What Socratic holds

Textmetadata
LicenceTDM
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 Socratic graph.