Evidence map›Paper›PMID 36778051›Full record

ArticleCell genomics2022

Multi-ancestry meta-analysis of asthma identifies novel associations and highlights the value of increased power and diversity.

Kristin Tsuo, Wei Zhou, Ying Wang, Masahiro Kanai, Shinichi Namba, Rahul Gupta, Lerato Majara, Lethukuthula L Nkambule, Takayuki Morisaki, Yukinori Okada and 4 more

Open access · goldAbstract read
In one paragraph

Article in Cell genomics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 91 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
91citing papers in PubMed, 6 pooled it
11.3field-weighted citation impact, top 1% of its field
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

91 citing papers in PubMed, 6 syntheses or guidelines pooled it, 104 citations in OpenAlex.

  1. Skin barrier-related genes in childhood atopic dermatitis, asthma, and allergy: A systematic review and meta-analysis.Pediatric allergy and immunology : official publication of the European Society of Pediatric Allergy and Immunology · 2026
    Pooled it
  2. Genetic characterization of preschool wheeze phenotypes.The Journal of allergy and clinical immunology · 2025
    Pooled it
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  7. Article
  8. Review
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  13. Article
  14. Mechanisms and therapeutic strategies of asthma: from bench to bedside.Signal transduction and targeted therapy · 2026
    Review
  15. Article
  16. Article
  17. Genetic susceptibility to respiratory health effects from outdoor air pollution: a structured narrative review.European respiratory review : an official journal of the European Respiratory Society · 2026
    Review
  18. Cumulative genetic risk for asthma contributes to disease severity in children with asthma.The journal of allergy and clinical immunology. Global · 2026
    Article
  19. Article
  20. Article

31 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

14 authors at 5 institutions in 4 countries.

Kristin TsuoAnalytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA.
Wei ZhouAnalytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA.
Ying WangAnalytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA.
Masahiro KanaiAnalytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA.
Shinichi NambaDepartment of Statistical Genetics, Osaka University Graduate School of Medicine, Suita, Japan.
Rahul GuptaAnalytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA.
Lerato MajaraDepartment of Psychiatry and Mental Health, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa.
Lethukuthula L NkambuleAnalytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA.
Takayuki MorisakiDivision of Molecular Pathology, The Institute of Medical Science, The University of Tokyo, Minatu-ku, Tokyo, Japan.
Yukinori OkadaDepartment of Statistical Genetics, Osaka University Graduate School of Medicine, Suita, Japan.
Benjamin M NealeAnalytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA.
Global Biobank Meta-analysis Initiative
Mark J DalyAnalytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA.
Alicia R MartinAnalytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA.
Broad Institute · USRIKEN Center for Integrative Medical Sciences · JPThe University of Osaka · JPThe University of Tokyo · JPUniversity of Cape Town · ZA

Funding

Medical Scientist Training ProgramT32GM007753 · NIGMS · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI WALENSKY, LOREN DAVID · 1985 to 2021
$50.0M
Training in the Molecular Biology of Neurodegeneration and Alzheimer's DiseaseT32AG000222 · NIA · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI Bruce A YANKNER · 1992 to 2026
$18.5M
Generalizing polygenic risk prediction methods across populations for insights into psychiatric diseaseR00MH117229 · NIMH · MASSACHUSETTS GENERAL HOSPITAL · PI MARTIN, ALICIA · 2020 to 2022
$724k
An integrative approach to disease gene discovery combining genetic variation, gene expression, and epigenetics.K99HG012222 · NHGRI · MASSACHUSETTS GENERAL HOSPITAL · PI ZHOU, WEI · 2022 to 2023
$319k
NHGRI NIH HHS K99 HG012222NIA NIH HHS T32 AG000222NIGMS NIH HHS T32 GM007753NIMH NIH HHS R00 MH117229
6 · The paper itself

Abstract

Asthma is a complex disease that varies widely in prevalence across populations. The extent to which genetic variation contributes to these disparities is unclear, as the genetics underlying asthma have been investigated primarily in populations of European descent. As part of the Global Biobank Meta-analysis Initiative, we conducted a large-scale genome-wide association study of asthma (153,763 cases and 1,647,022 controls) via meta-analysis across 22 biobanks spanning multiple ancestries. We discovered 179 asthma-associated loci, 49 of which were not previously reported. Despite the wide range in asthma prevalence among biobanks, we found largely consistent genetic effects across biobanks and ancestries. The meta-analysis also improved polygenic risk prediction in non-European populations compared with previous studies. Additionally, we found considerable genetic overlap between age-of-onset subtypes and between asthma and comorbid diseases. Our work underscores the multi-factorial nature of asthma development and offers insight into its shared genetic architecture.

Indexed as

asthmacross-traitGWASheterogeneitymeta-analysismulti-ancestrypolygenic risk predictionsubtypes

Identifiers

PMID36778051
PMCPMC9903683
OpenAlexW4308514414

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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 OpenQuestion graph.