Evidence map›Paper›PMID 33020668›Full record

SynthesisNature genetics2020

Population-specific and trans-ancestry genome-wide analyses identify distinct and shared genetic risk loci for coronary artery disease.

Satoshi Koyama, Kaoru Ito, Chikashi Terao, Masato Akiyama, Momoko Horikoshi, Yukihide Momozawa, Hiroshi Matsunaga, Hirotaka Ieki, Kouichi Ozaki, Yoshihiro Onouchi and 31 more

Abstract readMeta-Analysis
PubMed Publisher
In one paragraph

Synthesis in Nature genetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 210 papers, 20 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
210citing papers in PubMed, 20 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

210 citing papers in PubMed, 20 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Pooled it
  7. Pooled it
  8. Pooled it
  9. Pooled it
  10. Pooled it
  11. Pooled it
  12. Pooled it
  13. Pooled it
  14. Pooled it
  15. Pooled it
  16. Pooled it
  17. Pooled it
  18. Pooled it
  19. Pooled it
  20. Pooled it

150 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

41 authors.

Satoshi KoyamaLaboratory for Cardiovascular Genomics and Informatics, RIKEN Center for Integrative Medical Sciences, Kanagawa, Japan.ORCID http://orcid.org/0000-0002-9286-0360
Kaoru ItoLaboratory for Cardiovascular Genomics and Informatics, RIKEN Center for Integrative Medical Sciences, Kanagawa, Japan. kaoru.ito@riken.jp.ORCID http://orcid.org/0000-0003-1843-773X
Chikashi TeraoLaboratory for Statistical and Translational Genetics, RIKEN Center for Integrative Medical Sciences, Kanagawa, Japan.ORCID http://orcid.org/0000-0002-6452-4095
Masato AkiyamaLaboratory for Statistical and Translational Genetics, RIKEN Center for Integrative Medical Sciences, Kanagawa, Japan.
Momoko HorikoshiLaboratory for Genomics of Diabetes and Metabolism, RIKEN Center for Integrative Medical Sciences, Kanagawa, Japan.
Yukihide MomozawaLaboratory for Genotyping Development, RIKEN Center for Integrative Medical Sciences, Kanagawa, Japan.
Hiroshi MatsunagaLaboratory for Cardiovascular Genomics and Informatics, RIKEN Center for Integrative Medical Sciences, Kanagawa, Japan.
Hirotaka IekiLaboratory for Cardiovascular Genomics and Informatics, RIKEN Center for Integrative Medical Sciences, Kanagawa, Japan.
Kouichi OzakiLaboratory for Cardiovascular Genomics and Informatics, RIKEN Center for Integrative Medical Sciences, Kanagawa, Japan.
Yoshihiro OnouchiLaboratory for Cardiovascular Genomics and Informatics, RIKEN Center for Integrative Medical Sciences, Kanagawa, Japan.ORCID http://orcid.org/0000-0003-1267-5913
Atsushi TakahashiLaboratory for Statistical and Translational Genetics, RIKEN Center for Integrative Medical Sciences, Kanagawa, Japan.
Seitaro NomuraDepartment of Cardiovascular Medicine, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Hiroyuki MoritaDepartment of Cardiovascular Medicine, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Hiroshi AkazawaDepartment of Cardiovascular Medicine, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Changhoon KimBioinformatics Institute, Macrogen Inc., Seoul, Republic of Korea.ORCID http://orcid.org/0000-0003-1087-0424
Jeong-Sun SeoBioinformatics Institute, Macrogen Inc., Seoul, Republic of Korea.
Koichiro HigasaDepartment of Genome Analysis, Institute of Biomedical Science, Kansai Medical University, Hirakata, Japan.
Motoki IwasakiDivision of Epidemiology, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan.
Taiki YamajiDivision of Epidemiology, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan.
Norie SawadaDivision of Epidemiology, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan.ORCID http://orcid.org/0000-0002-9936-1476
Shoichiro TsuganeCenter for Public Health Sciences, National Cancer Center, Tokyo, Japan.ORCID http://orcid.org/0000-0003-4105-2774
Teruhide KoyamaDepartment of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine, Kyoto, Japan.
Hiroaki IkezakiDepartment of Comprehensive General Internal Medicine, Kyushu University Graduate School of Medical Sciences, Faculty of Medical Sciences, Fukuoka, Japan.ORCID http://orcid.org/0000-0002-6677-6341
Naoyuki TakashimaDepartment of Public Health, Faculty of Medicine, Kindai University, Osaka, Japan.
Keitaro TanakaDepartment of Preventive Medicine, Faculty of Medicine, Saga University, Saga, Japan.ORCID http://orcid.org/0000-0002-5725-4736
Kokichi ArisawaDepartment of Preventive Medicine, Tokushima University Graduate School of Biomedical Sciences, Tokushima, Japan.
Kiyonori KurikiLaboratory of Public Health, School of Food and Nutritional Sciences, University of Shizuoka, Shizuoka, Japan.
Mariko NaitoDepartment of Oral Epidemiology, Hiroshima University Graduate School of Biomedical and Health Sciences, Hiroshima, Japan.
Kenji WakaiDepartment of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Shinichiro SunaDepartment of Cardiovascular Medicine, Osaka University Graduate School of Medicine, Suita, Japan.
Yasuhiko SakataDepartment of Cardiovascular Medicine, Tohoku University Graduate School of Medicine, Sendai, Japan.
Hiroshi SatoSchool of Human Welfare Studies Health Care Center and Clinic, Kwansei Gakuin University, Nishinomiya, Japan.
Masatsugu HoriOsaka Prefectural Hospital Organization, Osaka International Cancer Institute, Osaka, Japan.
Yasushi SakataDepartment of Cardiovascular Medicine, Osaka University Graduate School of Medicine, Suita, Japan.
Koichi MatsudaLaboratory of Clinical Genome Sequencing, Department of Computational Biology and Medical Science, Graduate School of Frontier Sciences, The University of Tokyo, Tokyo, Japan.ORCID http://orcid.org/0000-0001-7292-2686
Yoshinori MurakamiDivision of Molecular Pathology, Institute of Medical Science, The University of Tokyo, Tokyo, Japan.ORCID http://orcid.org/0000-0002-2826-4396
Hiroyuki AburataniGenome Science Division, Research Center for Advanced Science and Technology, The University of Tokyo, Tokyo, Japan.ORCID http://orcid.org/0000-0003-0438-1544
Michiaki KuboRIKEN Center for Integrative Medical Sciences, Kanagawa, Japan.ORCID http://orcid.org/0000-0002-0095-2322
Fumihiko MatsudaHuman Disease Genomics, Center for Genomic Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan.
Yoichiro KamataniLaboratory for Statistical and Translational Genetics, RIKEN Center for Integrative Medical Sciences, Kanagawa, Japan. kamatani.yoichiro@edu.k.u-tokyo.ac.jp.ORCID http://orcid.org/0000-0001-8748-5597
Issei KomuroDepartment of Cardiovascular Medicine, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan. komuro-tky@umin.ac.jp.ORCID http://orcid.org/0000-0002-0714-7182

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To elucidate the genetics of coronary artery disease (CAD) in the Japanese population, we conducted a large-scale genome-wide association study of 168,228 individuals of Japanese ancestry (25,892 cases and 142,336 controls) with genotype imputation using a newly developed reference panel of Japanese haplotypes including 1,781 CAD cases and 2,636 controls. We detected eight new susceptibility loci and Japanese-specific rare variants contributing to disease severity and increased cardiovascular mortality. We then conducted a trans-ancestry meta-analysis and discovered 35 additional new loci. Using the meta-analysis results, we derived a polygenic risk score (PRS) for CAD, which outperformed those derived from either Japanese or European genome-wide association studies. The PRS prioritized risk factors among various clinical parameters and segregated individuals with increased risk of long-term cardiovascular mortality. Our data improve the clinical characterization of CAD genetics and suggest the utility of trans-ancestry meta-analysis for PRS derivation in non-European populations.

Indexed as

Genetic Predisposition to DiseaseGenome-Wide Association StudyAdultAgedAllelesCholestanetriol 26-MonooxygenaseChromosome MappingCoronary Artery DiseaseGenetic PleiotropyGenotypeHumansJapanMiddle AgedPedigreeRisk FactorsCholestanetriol 26-MonooxygenaseCYP27A1 protein, human

Identifiers

What OpenQuestion holds

Textmetadata
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.