ReviewGenome biology2003
New methods for finding disease-susceptibility genes: impact and potential.
Review in Genome biology, 2003. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
12 citing papers in PubMed.
- The clinical application of affected-embryo-based SNP haplotype analysis for patients with de novo pathogenic mutations in PGT-M cycles.Archives of gynecology and obstetrics · 2024Article
- PheSom: a term frequency-based method for measuring human phenotype similarity on the basis of MeSH vocabulary.Frontiers in genetics · 2023Article
- Reforming disease classification system-are we there yet?Annals of translational medicine · 2018Article
- A comparative study of disease genes and drug targets in the human protein interactome.BMC bioinformatics · 2015Article
- Natural variation in CDC28 underlies morphological phenotypes in an environmental yeast isolate.Genetics · 2011Article
- Gene prioritization in Type 2 Diabetes using domain interactions and network analysis.BMC genomics · 2010Article
- Network-based global inference of human disease genes.Molecular systems biology · 2008Article
- Computational selection and prioritization of candidate genes for fetal alcohol syndrome.BMC genomics · 2007Article
- Analysis of protein sequence and interaction data for candidate disease gene prediction.Nucleic acids research · 2006Article
- Speeding disease gene discovery by sequence based candidate prioritization.BMC bioinformatics · 2005Article
- Integration of text- and data-mining using ontologies successfully selects disease gene candidates.Nucleic acids research · 2005Article
- Bioinformatical assay of human gene morbidity.Nucleic acids research · 2004Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Improved techniques for defining disease-gene location and evaluating the biological candidacy of regional transcripts will hasten disease-gene discovery.
Indexed as
Identifiers
What OpenQuestion holds
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.