The GeneCards suite: from gene data mining to disease genome sequence analyses
Abstract
GeneCards, the human gene compendium, enables researchers to effectively navigate and inter‐relate the wide universe of human genes, diseases, variants, proteins, cells, and biological pathways. Our recently launched Version 4 has a revamped infrastructure facilitating faster data updates, better‐targeted data queries, and friendlier user experience. It also provides a stronger foundation for the GeneCards suite of companion databases and analysis tools. Improved data unification includes gene‐disease links via MalaCards and merged biological pathways via PathCards, as well as drug information and proteome expression. VarElect, another suite member, is a phenotype prioritizer for next‐generation sequencing, leveraging the GeneCards and MalaCards knowledgebase. It automatically infers direct and indirect scored associations between hundreds or even thousands of variant‐containing genes and disease phenotype terms. VarElect's capabilities, either independently or within TGex, our comprehensive variant analysis pipeline, help prepare for the challenge of clinical projects that involve thousands of exome/genome NGS analyses. © 2016 by John Wiley & Sons, Inc.
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LTBP4 has been found to be associated with brain volume and Duchenne muscular dystrophy.
“LTBP4, the proposed functional gene for the CLU pQTL locus on chromosome 19 (over 4 Mb from APOE), has been found to be associated with brain volume 35 and Duchenne muscular dystrophy. 36”
From A genetic and proteomic comparison of key AD biomarkers across tissues (2024) · cites this paper as [36]
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References 23 · Cited by 5,550
- Authors
- Stelzer, G., Rosen, N., Plaschkes, I., Zimmerman, S., Twik, M., Fishilevich, S., Stein, T. I., Nudel, R., Lieder, I., Mazor, Y., Kaplan, S., Dahary, D., Warshawsky, D., Guan‐Golan, Y., Kohn, A., Rappaport, N., Safran, M., & Lancet, D.
- Affiliations
- Weizmann Institute of Science (IL)
- LifeMap Sciences Ltd Tel Aviv Israel
- LifeMap Sciences Inc Marshfield Massachusetts
- Corresponding author
- Lancet, Doron
- ORCID
- Venue
- Current Protocols in Bioinformatics
- Publisher
- Wiley
- Published
- 2016-06
- Volume
- 54
- Issue
- 1
- Pages
- 1.30.1-1.30.33
- ISSN
- 1934-3396 (ISSN-L)
- 1934-340X
- OpenAlex
- W2474747771
- Cited by
- 5,550
- References
- 23
- Citations by year
- 2026: 965 · 2025: 1179 · 2024: 966 · 2023: 691 · 2022: 654 · 2021: 511 · 2020: 328 · 2019: 145 · 2018: 57 · 2017: 39 · 2016: 9 · 2012: 1
- FWCI
- 66.91
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Current Protocols in Bioinformatics (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Weizmann Institute of Science
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genomics and Rare Diseases
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Bioinformatics and Genomic Networks
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Biomedical Text Mining and Ontologies
- Keywords
- GeneCards, gene-disease association, biological pathways, drug information, next-generation sequencing, data unification
- MeSH terms
- Humans, Phenotype, Software, Sequence Analysis, Proteome, Genomics, Databases, Genetic, Data Mining, High-Throughput Nucleotide Sequencing
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