ArticleDatabase : the journal of biological databases and curation2020
Phenotype-genotype network construction and characterization: a case study of cardiovascular diseases and associated non-coding RNAs.
Article in Database : the journal of biological databases and curation, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Cardiovascular diseases in the elderly: possibilities for modulating autophagy using non-coding RNAs.Frontiers in cell and developmental biology · 2025Review
- CTRR-ncRNA: A Knowledgebase for Cancer Therapy Resistance and Recurrence Associated Non-coding RNAs.Genomics, proteomics & bioinformatics · 2023Article
- NDDRF: A risk factor knowledgebase for personalized prevention of neurodegenerative diseases.Journal of advanced research · 2022Article
- Long non-coding RNAs and microRNAs as crucial regulators in cardio-oncology.Cell & bioscience · 2022Review
- Cardiovascular informatics: building a bridge to data harmony.Cardiovascular research · 2022Review
- Non-Coding RNA Databases in Cardiovascular Research.Non-coding RNA · 2020Review
- Data-driven translational prostate cancer research: from biomarker discovery to clinical decision.Journal of translational medicine · 2020Review
Corrections and comments
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Authors and funding
8 authors.
Funding
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Abstract
The phenotype-genotype relationship is a key for personalized and precision medicine for complex diseases. To unravel the complexity of the clinical phenotype-genotype network, we used cardiovascular diseases (CVDs) and associated non-coding RNAs (ncRNAs) (i.e. miRNAs, long ncRNAs, etc.) as the case for the study of CVDs at a systems or network level. We first integrated a database of CVDs and ncRNAs (CVDncR, http://sysbio.org.cn/cvdncr/) to construct CVD-ncRNA networks and annotate their clinical associations. To characterize the networks, we then separated the miRNAs into two groups, i.e. universal miRNAs associated with at least two types of CVDs and specific miRNAs related only to one type of CVD. Our analyses indicated two interesting patterns in these CVD-ncRNA networks. First, scale-free features were present within both CVD-miRNA and CVD-lncRNA networks; second, universal miRNAs were more likely to be CVDs biomarkers. These results were confirmed by computational functional analyses. The findings offer theoretical guidance for decoding CVD-ncRNA associations and will facilitate the screening of CVD ncRNA biomarkers. Database URL: http://sysbio.org.cn/cvdncr/.
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Registered trials
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.