ArticleNature2026
A cross-population compendium of gene-environment interactions.
Abstract read
In one paragraph
Article in Nature, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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
10 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Global research trends in the epidemiology of allergic disorders: a bibliometric and evidence-mapping review.Frontiers in medicine · 2026Pooled it
- Genetic basis of Asian diabetes.Journal of diabetes investigation · 2026Review
- Identification of novel candidate neural genes for diet-induced obesity in outbred heterogeneous stock rats.Research square · 2026Article
- Optimizing phenotype scale improves genetic analyses in large-scale biobanks.bioRxiv : the preprint server for biology · 2026Article
- CalPred yields calibrated intervals for polygenic risk prediction.medRxiv : the preprint server for health sciences · 2026Article
- Phenome-derived polygenic scores and social determinants jointly shape context-dependent disease risk.medRxiv : the preprint server for health sciences · 2026Article
- A biobank-scale method for learning modulators of gene-environment interaction underlying human complex traits from multiple environmental exposures.bioRxiv : the preprint server for biology · 2026Article
- Elucidating genetic backgrounds of myasthenia gravis in Japanese by genome-wide association studies and multi-omics analyses of thymoma.Nature communications · 2026Article
- Toward personalized medicine in AD/ADRD through genetic-exposome dementia risk assessments.NPJ dementia · 2026Review
- Methods for modeling gene-environment interplay using polygenic risk scores.Statistical applications in genetics and molecular biology · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
39 authors.
Shinichi NambaDepartment of Genome Informatics, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan. snamba@m.u-tokyo.ac.jp.ORCID 0000-0002-7486-3146
Kyuto SoneharaDepartment of Genome Informatics, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.ORCID 0000-0002-4536-1761
Yuriko N KoyanagiDivision of Cancer Epidemiology and Prevention, Aichi Cancer Center, Nagoya, Japan.ORCID 0000-0002-5675-3429
Takezo KikuchiFaculty of Medicine, The University of Tokyo, Tokyo, Japan.ORCID 0009-0000-0466-5876
Takafumi OjimaDepartment of Genome Informatics, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.ORCID 0000-0003-1197-0574
Ryuya EdahiroDepartment of Statistical Genetics, Graduate School of Medicine, The University of Osaka, Suita, Japan.ORCID 0000-0001-5009-6408
Go SatoDepartment of Genome Informatics, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.ORCID 0009-0000-1251-8403
Taiki YamajiDivision of Epidemiology, National Cancer Center Institute for Cancer Control, Tokyo, Japan.
Yoshihiko TomofujiDepartment of Genome Informatics, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Hiroyuki UedaDepartment of Statistical Genetics, Graduate School of Medicine, The University of Osaka, Suita, Japan.
Kenichi YamamotoDepartment of Statistical Genetics, Graduate School of Medicine, The University of Osaka, Suita, Japan.ORCID 0000-0001-9594-7050
Yosuke OgawaDepartment of Genome Informatics, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.ORCID 0000-0002-5049-5764
Ken SuzukiDepartment of Statistical Genetics, Graduate School of Medicine, The University of Osaka, Suita, Japan.ORCID 0000-0003-1065-3593
Akinori KanaiLife Science Data Research Center, Graduate School of Frontier Sciences, The University of Tokyo, Kashiwa, Japan.ORCID 0000-0003-1555-6768
Shinichi HigashiueTokushukai Group, Tokyo, Japan.
Shuzo KobayashiTokushukai Group, Tokyo, Japan.
Hiroki YamaguchiDepartment of Hematology, Nippon Medical School, Tokyo, Japan.ORCID 0000-0002-0571-7495
Yasunobu NagataDepartment of Hematology, Nippon Medical School, Tokyo, Japan.
Yasushi OkazakiDiagnostics and Therapeutics of Intractable Diseases, Intractable Disease Research Center, Graduate School of Medicine, Juntendo University, Tokyo, Japan.ORCID 0000-0003-3241-5502
Naoyuki MatsumotoDiagnostics and Therapeutics of Intractable Diseases, Intractable Disease Research Center, Graduate School of Medicine, Juntendo University, Tokyo, Japan.
Kenta MotomuraIizuka Hospital, Fukuoka, Japan.
Hidenobu KogaIizuka Hospital, Fukuoka, Japan.
Asahi HishidaDepartment of Public Health, Aichi Medical University School of Medicine, Nagakute, Japan.
Hiroaki IkezakiDepartment of General Internal Medicine, Kyushu University Hospital, Fukuoka, Japan.
Megumi HaraDepartment of Preventive Medicine, Faculty of Medicine, Saga University, Saga, Japan.ORCID 0000-0002-8708-3237
Mako NagayoshiDepartment of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Isao OzeDivision of Cancer Information and Control, Aichi Cancer Center, Nagoya, Japan.ORCID 0000-0002-0762-1147
Shiori NakanoDivision of Epidemiology, National Cancer Center Institute for Cancer Control, Tokyo, Japan.
BioBank Japan Project
Yoshiya OdaDepartment of Lipidomics, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Yutaka SuzukiLife Science Data Research Center, Graduate School of Frontier Sciences, The University of Tokyo, Kashiwa, Japan.ORCID 0000-0003-4852-1879
Motoki IwasakiDivision of Epidemiology, National Cancer Center Institute for Cancer Control, Tokyo, Japan.
Norie SawadaDivision of Cohort Research, National Cancer Center Institute for Cancer Control, Tokyo, Japan.ORCID 0000-0002-9936-1476
Keitaro MatsuoDivision of Cancer Epidemiology and Prevention, Aichi Cancer Center, Nagoya, Japan.ORCID 0000-0003-1761-6314
Takayuki MorisakiDivision of Molecular Pathology, Institute of Medical Science, The University of Tokyo, Tokyo, Japan.
Toshimasa YamauchiDepartment of Diabetes and Metabolic Diseases, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.ORCID 0000-0003-4827-6404
Takashi KadowakiToranomon Hospital, Tokyo, Japan.ORCID 0000-0002-5428-3582
Koichi MatsudaLaboratory of Clinical Genome Sequencing, Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Tokyo, Japan.ORCID 0000-0001-7292-2686
Yukinori OkadaDepartment of Genome Informatics, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan. yuki-okada@m.u-tokyo.ac.jp.ORCID 0000-0002-0311-8472
Funding
No grant is acknowledged in the PubMed record.
Abstract
Environmental differences in genetic effect sizes, namely, gene-environment interactions, may uncover the genetic encoding of phenotypic plasticity
Indexed as
Gene-Environment InteractionGenome-Wide Association StudyAdultAgedAge FactorsAgingDietEuropeFemaleGenetics, PopulationGenomicsHumansJapanLife StyleLipid MetabolismMale
Identifiers
What Socratic holds
Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390
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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 Socratic graph.