ArticleMethods in molecular biology (Clifton, N.J.)2026
Clinical Variant Databases and Machine Learning Prediction Supporting Genomic Medicine.
Article in Methods in molecular biology (Clifton, N.J.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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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
1 citing paper in PubMed.
- Special Issue "Ion Conductance and Ion Regulation in Human Health and Disease".International journal of molecular sciences · 2025Article
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Genomic medicine, which provides diagnosis and treatment decisions based on genomic variations, has been implemented in clinical practice and become more accessible. The clinical interpretation of genomic variations detected through genome analysis is crucial in genomic medicine. Clinical interpretation often utilizes genomic databases and effects predictions by machine learning. However, it has been noted that the genomic data accumulated thus far exhibit biases toward certain ethnic groups, leading to efforts to enhance genomic data diversity across various regions. While diverse and highly accurate machine learning methods have been developed for coding region variants, prediction methods for noncoding region variants still need to be improved in accuracy and applicable region. This chapter outlines the basic flow of genomic medicine and how detected variants are interpreted, introducing disease variant databases to advance genomic medicine and machine learning methods for predicting the effect of noncoding region variants.
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Registered trials
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