ArticleDatabase : the journal of biological databases and curation2013
T-HOD: a literature-based candidate gene database for hypertension, obesity and diabetes.
Article in Database : the journal of biological databases and curation, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.
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Who cites it
27 citing papers in PubMed.
- Genetic Associations ofDiagnostics (Basel, Switzerland) · 2024Article
- Prioritization of genes associated with type 2 diabetes mellitus for functional studies.Nature reviews. Endocrinology · 2023Review
- PlagueKD: a knowledge graph-based plague knowledge database.Database : the journal of biological databases and curation · 2022Article
- A network pharmacology-based approach to explore the active ingredients and molecular mechanism of Lei-gong-gen formula granule on a spontaneously hypertensive rat model.Chinese medicine · 2021Article
- Identifying potential functional lncRNAs in metabolic syndrome by constructing a lncRNA-miRNA-mRNA network.Journal of human genetics · 2020Article
- Association of polymorphism genesBiomedical reports · 2020Article
- CHDGKB: a knowledgebase for systematic understanding of genetic variations associated with non-syndromic congenital heart disease.Database : the journal of biological databases and curation · 2020Article
- ncRNA2MetS: a manually curated database for non-coding RNAs associated with metabolic syndrome.PeerJ · 2019Article
- A Systems Pharmacology-Based Study of the Molecular Mechanisms of San Cao Decoction for Treating Hypertension.Evidence-based complementary and alternative medicine : eCAM · 2019Article
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- ILDgenDB: integrated genetic knowledge resource for interstitial lung diseases (ILDs).Database : the journal of biological databases and curation · 2018Article
- Chromosomal microarray analysis in the genetic evaluation of 279 patients with syndromic obesity.Molecular cytogenetics · 2018Article
- Construction of competitive endogenous RNA network reveals regulatory role of long non-coding RNAs in type 2 diabetes mellitus.Journal of cellular and molecular medicine · 2017Article
- Convergence between biological, behavioural and genetic determinants of obesity.Nature reviews. Genetics · 2017Article
- Potential Susceptibility Loci Identified for Renal Cell Carcinoma by Targeting Obesity-Related Genes.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2017Article
- T2DiACoD: A Gene Atlas of Type 2 Diabetes Mellitus Associated Complex Disorders.Scientific reports · 2017Article
- Serum microRNA profiling and bioinformatics analysis of patients with type 2 diabetes mellitus in a Chinese population.Molecular medicine reports · 2017Article
- An analysis of disease-gene relationship from Medline abstracts by DigSee.Scientific reports · 2017Article
- MicroRNA profiling in clear cell renal cell carcinoma tissues potentially links tumorigenesis and recurrence with obesity.British journal of cancer · 2017Article
- In-Cardiome: integrated knowledgebase for coronary artery disease enabling translational research.Database : the journal of biological databases and curation · 2017Article
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5 authors.
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Abstract
Researchers are finding it more and more difficult to follow the changing status of disease candidate genes due to the exponential increase in gene mapping studies. The Text-mined Hypertension, Obesity and Diabetes candidate gene database (T-HOD) is developed to help trace existing research on three kinds of cardiovascular diseases: hypertension, obesity and diabetes, with the last disease categorized into Type 1 and Type 2, by regularly and semiautomatically extracting HOD-related genes from newly published literature. Currently, there are 837, 835 and 821 candidate genes recorded in T-HOD for hypertension, obesity and diabetes, respectively. T-HOD employed the state-of-art text-mining technologies, including a gene/disease identification system and a disease-gene relation extraction system, which can be used to affirm the association of genes with three diseases and provide more evidence for further studies. The primary inputs of T-HOD are the three kinds of diseases, and the output is a list of disease-related genes that can be ranked based on their number of appearance, protein-protein interactions and single-nucleotide polymorphisms. Unlike manually constructed disease gene databases, the content of T-HOD is regularly updated by our text-mining system and verified by domain experts. The interface of T-HOD facilitates easy browsing for users and allows T-HOD curators to verify data efficiently. We believe that T-HOD can help life scientists in search for more disease candidate genes in a less time- and effort-consuming manner. Database URL: http://bws.iis.sinica.edu.tw/THOD.
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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.