Identifying novel Japanese heart failure variants via endothelial

Momoko Hamano, Seitaro Nomura, Kaoru Ito, Ryuichiro Nakato, Issei Komuro, Yoshihiro Yamanishi

Abstract read

In one paragraph

Article in Bioinformatics advances, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it

0cells of the map it votes in

0citing papers in PubMed

–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Momoko HamanoDepartment of Bioscience and Bioinformatics, Faculty of Computer Science and Systems Engineering, Kyushu Institute of Technology, Fukuoka 820-8502, Japan.ORCID https://orcid.org/0000-0002-8752-7053

Seitaro NomuraDepartment of Frontier Cardiovascular Science, The University of Tokyo Graduate School of Medicine, Tokyo 113-8655, Japan.ORCID https://orcid.org/0000-0002-2957-2016

Kaoru ItoLaboratory for Cardiovascular Genomics and Informatics, RIKEN Center for Integrative Medical Sciences, Kanagawa 230-0045, Japan.ORCID https://orcid.org/0000-0003-1843-773X

Ryuichiro NakatoInstitute for Quantitative Biosciences, The University of Tokyo, Tokyo 113-0032, Japan.ORCID https://orcid.org/0000-0003-3019-5817

Issei KomuroDepartment of Frontier Cardiovascular Science, The University of Tokyo Graduate School of Medicine, Tokyo 113-8655, Japan.ORCID https://orcid.org/0000-0002-0714-7182

Yoshihiro YamanishiDepartment of Bioscience and Bioinformatics, Faculty of Computer Science and Systems Engineering, Kyushu Institute of Technology, Fukuoka 820-8502, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Motivation: The detailed molecular mechanisms and disease risk factors for heart failure, especially in the Japanese population, remain to be identified. In this study, we developed a Results: rs3176334, located in the promoter region of Availability and implementation: These candidate variants are potential risk factors for heart failure in the Japanese population.

Identifiers

PMID42428666

DOI10.1093/bioadv/vbag178

PMCPMC13348845

What Socratic holds

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LicenceCC BY

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Registered trials

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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.