Evidence map›Paper›PMID 38658550›Full record

SynthesisNature communications2024

Large-scale cross-ancestry genome-wide meta-analysis of serum urate.

Chamlee Cho, Beomsu Kim, Dan Say Kim, Mi Yeong Hwang, Injeong Shim, Minku Song, Yeong Chan Lee, Sang-Hyuk Jung, Sung Kweon Cho, Woong-Yang Park and 7 more

Abstract readMeta-Analysis
In one paragraph

Synthesis in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 1 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

29 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Blood biomarkers and breed genetics of aging in pet dogs.bioRxiv : the preprint server for biology · 2026
    Article
  7. Review
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Metabolic diseases in the East Asian populations.Nature reviews. Gastroenterology & hepatology · 2025
    Review
  15. Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
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

17 authors.

Chamlee Cho *Department of Digital Health, Samsung Advanced Institute for Health Sciences and Technology (SAIHST), Sungkyunkwan University, Samsung Medical Center, Seoul, Republic of Korea.ORCID http://orcid.org/0009-0002-3155-1932
Beomsu Kim *Department of Digital Health, Samsung Advanced Institute for Health Sciences and Technology (SAIHST), Sungkyunkwan University, Samsung Medical Center, Seoul, Republic of Korea.ORCID http://orcid.org/0000-0001-7410-4273
Dan Say Kim *Department of Digital Health, Samsung Advanced Institute for Health Sciences and Technology (SAIHST), Sungkyunkwan University, Samsung Medical Center, Seoul, Republic of Korea.
Mi Yeong HwangDivision of Genome Science, Department of Precision Medicine, National Institute of Health, Cheongju-si, Chungcheongbuk-do, Republic of Korea.ORCID http://orcid.org/0000-0002-8208-7925
Injeong ShimDepartment of Digital Health, Samsung Advanced Institute for Health Sciences and Technology (SAIHST), Sungkyunkwan University, Samsung Medical Center, Seoul, Republic of Korea.ORCID http://orcid.org/0000-0002-1001-0945
Minku SongDepartment of Digital Health, Samsung Advanced Institute for Health Sciences and Technology (SAIHST), Sungkyunkwan University, Samsung Medical Center, Seoul, Republic of Korea.
Yeong Chan LeeResearch Institute for Future Medicine, Samsung Medical Center, Seoul, Republic of Korea.ORCID http://orcid.org/0000-0002-2093-3161
Sang-Hyuk JungDepartment of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.ORCID http://orcid.org/0000-0003-4116-3327
Sung Kweon ChoDepartment of Pharmacology, Ajou University School of Medicine (AUSOM), Suwon, Republic of Korea.ORCID http://orcid.org/0000-0002-5929-7932
Woong-Yang ParkSamsung Genome Institute, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
Woojae MyungDepartment of Neuropsychiatry, Seoul National University Bundang Hospital, Seongnam, Republic of Korea.ORCID http://orcid.org/0000-0001-9985-2032
Bong-Jo KimDivision of Genome Science, Department of Precision Medicine, National Institute of Health, Cheongju-si, Chungcheongbuk-do, Republic of Korea.
Ron DoThe Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA.ORCID http://orcid.org/0000-0002-3144-3627
Hyon K ChoiDivision of Rheumatology, Allergy and Immunology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Tony R MerrimanBiochemistry Department, University of Otago, Dunedin, New Zealand.ORCID http://orcid.org/0000-0003-0844-8726
Young Jin KimDivision of Genome Science, Department of Precision Medicine, National Institute of Health, Cheongju-si, Chungcheongbuk-do, Republic of Korea. inthistime@korea.kr.ORCID http://orcid.org/0000-0002-4132-4437
Hong-Hee WonDepartment of Digital Health, Samsung Advanced Institute for Health Sciences and Technology (SAIHST), Sungkyunkwan University, Samsung Medical Center, Seoul, Republic of Korea. wonhh@skku.edu.ORCID http://orcid.org/0000-0001-5719-0552

Funding

National Research Foundation of Korea (NRF) 2022R1A2C2009998
6 · The paper itself

Abstract

Hyperuricemia is an essential causal risk factor for gout and is associated with cardiometabolic diseases. Given the limited contribution of East Asian ancestry to genome-wide association studies of serum urate, the genetic architecture of serum urate requires exploration. A large-scale cross-ancestry genome-wide association meta-analysis of 1,029,323 individuals and ancestry-specific meta-analysis identifies a total of 351 loci, including 17 previously unreported loci. The genetic architecture of serum urate control is similar between European and East Asian populations. A transcriptome-wide association study, enrichment analysis, and colocalization analysis in relevant tissues identify candidate serum urate-associated genes, including CTBP1, SKIV2L, and WWP2. A phenome-wide association study using polygenic risk scores identifies serum urate-correlated diseases including heart failure and hypertension. Mendelian randomization and mediation analyses show that serum urate-associated genes might have a causal relationship with serum urate-correlated diseases via mediation effects. This study elucidates our understanding of the genetic architecture of serum urate control.

Indexed as

Genome-Wide Association StudyHyperuricemiaUric AcidDNA-Binding ProteinsGenetic Predisposition to DiseaseGoutHeart FailureHumansHypertensionMendelian Randomization AnalysisMultifactorial InheritancePolymorphism, Single NucleotideTranscriptomeDNA-Binding ProteinsUric Acid

Identifiers

PMID38658550
PMCPMC11043400

What OpenQuestion 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 OpenQuestion graph.