SynthesisNature genetics2019
Identification of 28 new susceptibility loci for type 2 diabetes in the Japanese population.
Abstract readMeta-Analysis
In one paragraph
Synthesis in Nature genetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 148 papers, 15 of them syntheses that pooled it.
0numbers the graph read from it
0cells of the map it votes in
148citing papers in PubMed, 15 pooled it
28.1field-weighted citation impact, top 1% of its field
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.
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.
Who cites it
148 citing papers in PubMed, 15 syntheses or guidelines pooled it, 259 citations in OpenAlex.
- Exploring the genomic and transcriptomic profiles of glycemic traits and drug repurposing.Journal of biomedical science · 2025Pooled it
- Genome-wide association studies for pelvic organ prolapse in the Japanese population.Communications biology · 2024Pooled it
- Genome-wide association study and trans-ethnic meta-analysis identify novel susceptibility loci for type 2 diabetes mellitus.BMC medical genomics · 2024Pooled it
- East Asian-specific and cross-ancestry genome-wide meta-analyses provide mechanistic insights into peptic ulcer disease.Nature genetics · 2023Pooled it
- Identifying shared genetic loci and common risk genes of rheumatoid arthritis associated with three autoimmune diseases based on large-scale cross-trait genome-wide association studies.Frontiers in immunology · 2023Pooled it
- The contribution of common and rare genetic variants to variation in metabolic traits in 288,137 East Asians.Nature communications · 2022Pooled it
- Mendelian randomization analysis of 37 clinical factors and coronary artery disease in East Asian and European populations.Genome medicine · 2022Pooled it
- Multi-ancestry genetic study of type 2 diabetes highlights the power of diverse populations for discovery and translation.Nature genetics · 2022Pooled it
- Identification of genetic effects underlying type 2 diabetes in South Asian and European populations.Communications biology · 2022Pooled it
- Multi-ethnic GWAS and fine-mapping of glycaemic traits identify novel loci in the PAGE Study.Diabetologia · 2022Pooled it
- Meta-analysis investigating the role of interleukin-6 mediated inflammation in type 2 diabetes.EBioMedicine · 2020Pooled it
- Discovery of 318 new risk loci for type 2 diabetes and related vascular outcomes among 1.4 million participants in a multi-ancestry meta-analysis.Nature genetics · 2020Pooled it
- Genome-wide association meta-analysis identifies GP2 gene risk variants for pancreatic cancer.Nature communications · 2020Pooled it
- Pooled it
- GWAS of habitual coffee consumption reveals a sex difference in the genetic effect of the 12q24 locus in the Japanese population.BMC genetics · 2019Pooled it
- Simplification of complex insulin regimens using canagliflozin or liraglutide in patients with well-controlled type 2 diabetes: A 24-week randomized controlled trial.Journal of diabetes investigation · 2021Trial
- Levels of circulating semaglutide determine reductions in HbA1c and body weight in people with type 2 diabetes.Cell reports. Medicine · 2021Trial
- Trial
- Factors associated with the glucose-lowering efficacy of sitagliptin in Japanese patients with type 2 diabetes mellitus: Pooled analysis of Japanese clinical trials.Journal of diabetes investigation · 2020Trial
- Targeting Habitual Fast Eating as a Modifiable Risk Factor for Type 2 Diabetes: A Propensity Score-Matched Analysis.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2026Article
88 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
32 authors at 14 institutions in 2 countries.
Ken SuzukiDepartment of Diabetes and Metabolic Diseases, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.ORCID http://orcid.org/0000-0003-1065-3593
Masato AkiyamaLaboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan.
Kazuyoshi IshigakiLaboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan.
Masahiro KanaiLaboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan.ORCID http://orcid.org/0000-0001-5165-4408
Jun HosoeDepartment of Diabetes and Metabolic Diseases, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Nobuhiro ShojimaDepartment of Diabetes and Metabolic Diseases, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Atsushi HozawaTohoku Medical Megabank Organization, Tohoku University, Sendai, Japan.
Aya KadotaCenter for Epidemiologic Research in Asia, Shiga University of Medical Science, Otsu, Japan.
Kiyonori KurikiLaboratory of Public Health, School of Food and Nutritional Sciences, University of Shizuoka, Shizuoka, Japan.
Mariko NaitoDepartment of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Kozo TannoDivision of Clinical Research and Epidemiology, Iwate Tohoku Medical Megabank Organization, Disaster Reconstruction Center, Iwate Medical University, Iwate, Japan.
Yasushi IshigakiDivision of Innovation & Education, Iwate Tohoku Medical Megabank Organization, Disaster Reconstruction Center, Iwate Medical University, Iwate, Japan.
Makoto HirataInstitute of Medical Science, The University of Tokyo, Tokyo, Japan.ORCID http://orcid.org/0000-0002-9994-9958
Koichi MatsudaGraduate School of Frontier Sciences, The University of Tokyo, Tokyo, Japan.ORCID http://orcid.org/0000-0001-7292-2686
Nakao IwataDepartment of Psychiatry, Fujita Health University School of Medicine, Aichi, Japan.ORCID http://orcid.org/0000-0003-3189-6076
Masashi IkedaDepartment of Psychiatry, Fujita Health University School of Medicine, Aichi, Japan.
Norie SawadaDivision 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.
Motoki IwasakiDivision of Epidemiology, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan.
Shiro IkegawaLaboratory for Bone and Joint Diseases, RIKEN Center for Integrative Medical Sciences, Tokyo, Japan.
Shiro MaedaLaboratory for Endocrinology, Metabolism and Kidney Diseases, RIKEN Centre for Integrative Medical Sciences, Yokohama, Japan.
Yoshinori MurakamiDivision of Molecular Pathology, Institute of Medical Science, The University of Tokyo, Tokyo, Japan.
Kenji WakaiDepartment of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Shoichiro TsuganeCenter for Public Health Sciences, National Cancer Center, Tokyo, Japan.ORCID http://orcid.org/0000-0003-4105-2774
Makoto SasakiIwate Tohoku Medical Megabank Organization, Disaster Reconstruction Center, Iwate Medical University, Iwate, Japan.ORCID http://orcid.org/0000-0002-3108-4361
Masayuki YamamotoTohoku Medical Megabank Organization, Tohoku University, Sendai, Japan.
Yukinori OkadaLaboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan.ORCID http://orcid.org/0000-0002-0311-8472
Michiaki KuboRIKEN Center for Integrative Medical Sciences, Yokohama, Japan.
Yoichiro Kamatani *Laboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan. yoichiro.kamatani@riken.jp.ORCID http://orcid.org/0000-0001-8748-5597
Momoko Horikoshi *Laboratory for Endocrinology, Metabolism and Kidney Diseases, RIKEN Centre for Integrative Medical Sciences, Yokohama, Japan. momoko.horikoshi@riken.jp.
Toshimasa YamauchiDepartment of Diabetes and Metabolic Diseases, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan. tyamau-tky@umin.net.ORCID http://orcid.org/0000-0003-4827-6404
Takashi KadowakiDepartment of Diabetes and Metabolic Diseases, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan. kadowaki-3im@h.u-tokyo.ac.jp.ORCID http://orcid.org/0000-0002-5428-3582
The University of Tokyo · JPRIKEN Center for Integrative Medical Sciences · JPIwate Medical University · JPNational Center for Global Health and Medicine · JPFujita Health University · JPTohoku University · JPHarvard University · USHiroshima University · JPKyoto University · JPKyushu University · JPNagoya University · JPShiga University of Medical Science · JPUniversity of Shizuoka · JPUniversity of the Ryukyus · JP
Funding
No grant is acknowledged in the PubMed record.
Abstract
To understand the genetics of type 2 diabetes in people of Japanese ancestry, we conducted A meta-analysis of four genome-wide association studies (GWAS; 36,614 cases and 155,150 controls of Japanese ancestry). We identified 88 type 2 diabetes-associated loci (P < 5.0 × 10
Indexed as
AdultAsian PeopleCase-Control StudiesDiabetes Mellitus, Type 2FemaleGene FrequencyGenetic LociGenetic Predisposition to DiseaseGenome-Wide Association StudyGenotypeHumansLinkage DisequilibriumMalePolymorphism, Single NucleotideWhite People
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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.