The DOI matches its Crossref record; 96 of the 96 references it cites were found in a registry or an index.
Genotype to phenotype via network analysis
Open accessAbstract
A prime objective of genomic medicine is the identification of disease-causing mutations and the mechanisms by which such events result in disease. As most disease phenotypes arise not from single genes and proteins but from a complex network of molecular interactions, a priori knowledge about the molecular network serves as a framework for biological inference and data mining. Here we review recent developments at the interface of biological networks and mutation analysis. We examine how mutations may be treated as a perturbation of the molecular interaction network and what insights may be gained from taking this perspective. We review work that aims to transform static networks into rich context-dependent networks and recent attempts to integrate non-coding RNAs into such analysis. Finally, we conclude with an overview of the many challenges and opportunities that lie ahead.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Many biological networks have a hierarchical structure such that their nodes can be organized into a relatively small collection of highly interconnected modules4,28,29”
From Systems biology and gene networks in neurodevelopmental and neurodegenerative disorders (2015) · cites this paper as [29]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
An integrated encyclopedia of DNA elements in the human genome
The ENCODE Project Consortium (2012) · Nature · doi:10.1038/nature11247 · Cited by 18,072
Vogelstein, B., Papadopoulos, N., Velculescu, V. E., Zhou, S., Diaz, L. A., & Kinzler, K. W. (2013) · Science · doi:10.1126/science.1235122 · Cited by 7,863
Long non-coding RNA HOTAIR reprograms chromatin state to promote cancer metastasis
Gupta, R. A., Shah, N., Wang, K., Kim, J., Horlings, H. M., Wong, D. J., Tsai, M.-C., Hung, T., Argani, P., Rinn, J. L., et al. (2010) · Nature · doi:10.1038/nature08975 · Cited by 5,205
Non-coding RNAs in human disease
Esteller, M. (2011) · Nature Reviews Genetics · doi:10.1038/nrg3074 · Cited by 4,825
Systematic Localization of Common Disease-Associated Variation in Regulatory DNA
Maurano, M. T., Humbert, R., Rynes, E., Thurman, R. E., Haugen, E., Wang, H., Reynolds, A. P., Sandstrom, R., Qu, H., Brody, J., et al. (2012) · Science · doi:10.1126/science.1222794 · Cited by 3,716
Goh, K.-I., Cusick, M. E., Valle, D., Childs, B., Vidal, M., & Barabási, A.-L. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0701361104 · Cited by 3,242
Patterns of somatic mutation in human cancer genomes
Greenman, C. D., Stephens, P., Smith, R., Dalgliesh, G. L., Hunter, C., Bignell, G. R., Davies, H. R., Teague, J. W., Butler, A. P., Stevens, C., et al. (2007) · Nature · doi:10.1038/nature05610 · Cited by 3,143
Sporadic autism exomes reveal a highly interconnected protein network of de novo mutations
O’Roak, B. J., Vives, L., Girirajan, S., Karakoc, E., Krumm, N., Coe, B. P., Levy, R., Ko, A., Lee, C., Smith, J. D., et al. (2012) · Nature · doi:10.1038/nature10989 · Cited by 2,165
The Genetic Landscape of a Cell
Costanzo, M., Baryshnikova, A., Bellay, J., Kim, Y., Spear, E. D., Sevier, C. S., Ding, H., Koh, J. L. Y., Toufighi, K., Mostafavi, S., et al. (2010) · Science · doi:10.1126/science.1180823 · Cited by 2,162
lincRNAs act in the circuitry controlling pluripotency and differentiation
Guttman, M., Donaghey, J., Carey, B. W., Garber, M. G., Grenier, J. K., Munson, G., Young, G., Lucas, A. B., Ach, R. A., Bruhn, L., et al. (2011) · Nature · doi:10.1038/nature10398 · Cited by 1,883
Cited by
Sorted by citations
Dissecting Immune Circuits by Linking CRISPR-Pooled Screens with Single-Cell RNA-Seq
Jaitin, D. A., Weiner, A., Yofe, I., Lara-Astiaso, D., Keren-Shaul, H., David, E., Salame, T. M., Tanay, A., van Oudenaarden, A., & Amit, I. (2016) · Cell · doi:10.1016/j.cell.2016.11.039 · Cited by 777
Systems biology and gene networks in neurodevelopmental and neurodegenerative disorders
Parikshak, N. N., Gandal, M. J., & Geschwind, D. H. (2015) · Nature Reviews Genetics · doi:10.1038/nrg3934 · Cited by 430
Systematic Evaluation of Molecular Networks for Discovery of Disease Genes
Huang, J. K., Carlin, D. E., Yu, M. K., Zhang, W., Kreisberg, J. F., Tamayo, P., & Ideker, T. (2018) · Cell Systems · doi:10.1016/j.cels.2018.03.001 · Cited by 289
Self-citationProteomic and interactomic insights into the molecular basis of cell functional diversity
Bludau, I., & Aebersold, R. (2020) · Nature Reviews Molecular Cell Biology · doi:10.1038/s41580-020-0231-2 · Cited by 297
An interactive reference framework for modeling a dynamic immune system
Spitzer, M. H., Gherardini, P. F., Fragiadakis, G. K., Bhattacharya, N., Yuan, R. T., Hotson, A. N., Finck, R., Carmi, Y., Zunder, E. R., Fantl, W. J., et al. (2015) · Science · doi:10.1126/science.1259425 · Cited by 241
Metadata
- Authors
- Carter, H., Hofree, M., & Ideker, T.
- Affiliations
- University of California San Diego (US)
- Corresponding author
- Ideker, Trey
- Venue
- Current Opinion in Genetics & Development
- Publisher
- Elsevier BV
- Published
- 2013-12
- Volume
- 23
- Issue
- 6
- Pages
- 611-621
- ISSN
- 0959-437X (ISSN-L)
- PMC
- PMC3866044
- OpenAlex
- W1993702356
- Cited by
- 132
- References
- 96
- Citations by year
- 2026: 6 · 2025: 2 · 2024: 3 · 2023: 10 · 2022: 6 · 2021: 11 · 2020: 11 · 2019: 13 · 2018: 15 · 2017: 14 · 2016: 16 · 2015: 14 · 2014: 9 · 2013: 1
- FWCI
- 1.25
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Current Opinion in Genetics & Development (publishedVersion, cc-by-nc-sa)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- NIH (P41 GM103504, P50 GM085764)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Bioinformatics and Genomic Networks
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genomics and Rare Diseases
- Health Sciences › Medicine › Health Informatics › Biomedical Text Mining and Ontologies
- Keywords
- genotype-phenotype correlation, pathogenic variants, molecular interaction networks, network perturbation, non-coding RNA, genomic medicine, data mining
- MeSH terms
- Genotype, Humans, Models, Genetic, Mutation, Phenotype, Genetic Predisposition to Disease, Gene Regulatory Networks, Genetic Association Studies
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
