Evidence map›Paper›PMID 31068683›Full record

ReviewNature reviews. Genetics2019

Benefits and limitations of genome-wide association studies.

Vivian Tam, Nikunj Patel, Michelle Turcotte, Yohan Bossé, Guillaume Paré, David Meyre

Registry-linked trialAbstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Genetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05336851 (Emergency PanorOmic Wide Association Study in Respiratory Infectious Disease), which is not on this map. Cited by 1,105 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1,105citing papers in PubMed, 2 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.

NCT05336851 recruitingnot on this mapstarted 2023, after this paper: background citation

Emergency PanorOmic Wide Association Study in Respiratory Infectious Disease (ePWAS-RID)

Typeobservational_patient_registrySponsorThe University of Hong KongRan2023 to 2028Enrolled2,000ConditionsViral Infections, Bacterial Infections, Fungal Infections, Mixed InfectionArmsBiomarker blood draw and saliva collection
3 · Its place in the literature

Who cites it

1,105 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
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  7. UnlockingNAR genomics and bioinformatics · 2026
    Article
  8. Integrative Multi-omics Analysis for Prioritization of Candidate Genes in Polycystic Ovary Syndrome.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2026
    Article
  9. Article
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  11. Polygenic risk meets early trauma: toward a neuropsychodevelopmental model of schizophrenia.Journal of neural transmission (Vienna, Austria : 1996) · 2026
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  14. Review
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1,045 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

6 authors.

Vivian TamDepartment of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada.
Nikunj PatelDepartment of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada.
Michelle TurcotteDepartment of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada.
Yohan BosséInstitut Universitaire de Cardiologie et de Pneumologie de Québec-Université Laval, Québec City, Québec, Canada.ORCID http://orcid.org/0000-0002-3067-3711
Guillaume ParéDepartment of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada.
David MeyreDepartment of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada. meyred@mcmaster.ca.ORCID http://orcid.org/0000-0003-4850-7444

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genome-wide association studies (GWAS) involve testing genetic variants across the genomes of many individuals to identify genotype-phenotype associations. GWAS have revolutionized the field of complex disease genetics over the past decade, providing numerous compelling associations for human complex traits and diseases. Despite clear successes in identifying novel disease susceptibility genes and biological pathways and in translating these findings into clinical care, GWAS have not been without controversy. Prominent criticisms include concerns that GWAS will eventually implicate the entire genome in disease predisposition and that most association signals reflect variants and genes with no direct biological relevance to disease. In this Review, we comprehensively assess the benefits and limitations of GWAS in human populations and discuss the relevance of performing more GWAS.

Indexed as

AnimalsGenetic Association StudiesGenetic Predisposition to DiseaseGenetic VariationGenomeGenome-Wide Association StudyGenotypeHumansPhenotype

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.