Evidence map›Paper›PMID 30623105›Full record

SynthesisCommunications biology2019

A scientometric review of genome-wide association studies.

Melinda C Mills, Charles Rahal

Abstract readSystematic Review
In one paragraph

Synthesis in Communications biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 219 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
219citing papers in PubMed, 8 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

219 citing papers in PubMed, 8 syntheses or guidelines pooled it.

  1. Pooled it
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  8. Pooled it
  9. Health inequalities in precision medicine: A systematic review.European journal of human genetics : EJHG · 2026
    Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Observational epidemiological studies can mitigate genetic confounding with a genetic relatedness matrix.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. Article

159 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.

Melinda C MillsUniversity of Oxford and Nuffield College, New Road, Oxford, OX1 1NF UK.ORCID 0000-0003-1704-0001
Charles RahalUniversity of Oxford and Nuffield College, New Road, Oxford, OX1 1NF UK.ORCID 0000-0002-1764-2697

Funding

Wellcome Trust
6 · The paper itself

Abstract

This scientometric review of genome-wide association studies (GWAS) from 2005 to 2018 (3639 studies; 3508 traits) reveals extraordinary increases in sample sizes, rates of discovery and traits studied. A longitudinal examination shows fluctuating ancestral diversity, still predominantly European Ancestry (88% in 2017) with 72% of discoveries from participants recruited from three countries (US, UK, Iceland). US agencies, primarily NIH, fund 85% and women are less often senior authors. We generate a unique GWAS H-Index and reveal a tight social network of prominent authors and frequently used data sets. We conclude with 10 evidence-based policy recommendations for scientists, research bodies, funders, and editors.

Indexed as

Genetic ResearchMedical Laboratory PersonnelResearch PersonnelAuthorshipCapital FinancingFemaleGenome, HumanGenome-Wide Association StudyHumansJournalism, MedicalMaleUnited KingdomUnited StatesWhole Genome Sequencing

Identifiers

PMID30623105
PMCPMC6323052

What Socratic holds

Textmetadata
LicenceCC BY
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.