ReviewInternational journal of biological sciences2007
Candidate gene identification approach: progress and challenges.
Review in International journal of biological sciences, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 131 papers, 6 of them syntheses that pooled it.
What it found
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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
131 citing papers in PubMed, 6 syntheses or guidelines pooled it.
- Genetic association studies in critically ill patients: a systematic review.EBioMedicine · 2025Pooled it
- Pooled it
- Pooled it
- Systematic Review of Polygenic Gene-Environment Interaction in Tobacco, Alcohol, and Cannabis Use.Behavior genetics · 2019Pooled it
- Genome-wide meta-analysis of maize heterosis reveals the potential role of additive gene expression at pericentromeric loci.BMC plant biology · 2014Pooled it
- Effects of psychological stress on innate immunity and metabolism in humans: a systematic analysis.PloS one · 2012Pooled it
- Review
- [Association analysis between genetic nurturing effects ofBeijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences · 2026Article
- ACmix-Swin Deep Learning of 4-Day-OldGenes · 2025Article
- The Neurodegenerative Disease Knowledge Portal: Propelling Discovery Through the Sharing of Neurodegenerative Disease Genomic Resources.Neurology. Genetics · 2025Review
- Adaptation in the Alleyways: Candidate Genes Under Potential Selection in Urban Coyotes.Genome biology and evolution · 2025Article
- SNP associations in the L-citrulline metabolic pathway and vascular aging in the Japanese population.PloS one · 2025Article
- Identification of key genes associated with anthracnose resistance in Camellia sinensis.PloS one · 2025Article
- The Neurodegenerative Disease Knowledge Portal: Propelling Discovery Through the Sharing of Neurodegenerative Disease Genomic Resources.medRxiv : the preprint server for health sciences · 2024Article
- Prioritizing cervical cancer candidate genes using chaos game and fractal-based time series approach.Theory in biosciences = Theorie in den Biowissenschaften · 2024Article
- Testing Reported Associations of Gene Variants with Non-Syndromic Orofacial Clefts in the Polish Population.Biomedicines · 2024Article
- Decoding the gene-disease associations in type 2 diabetes: A curated dataset for text mining-based classification.Data in brief · 2024Article
- Waking Up the Sleep Field: An Overview on the Implications of Genetics and Bioinformatics of Sleep.Molecular biotechnology · 2024Review
- Article
- Machine learning assists prediction of genes responsible for plant specialized metabolite biosynthesis by integrating multi-omics data.BMC genomics · 2024Article
71 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Although it has been widely applied in identification of genes responsible for biomedically, economically, or even evolutionarily important complex and quantitative traits, traditional candidate gene approach is largely limited by its reliance on the priori knowledge about the physiological, biochemical or functional aspects of possible candidates. Such limitation results in a fatal information bottleneck, which has apparently become an obstacle for further applications of traditional candidate gene approach on many occasions. While the identification of candidate genes involved in genetic traits of specific interest remains a challenge, significant progress in this subject has been achieved in the last few years. Several strategies have been developed, or being developed, to break the barrier of information bottleneck. Recently, being a new developing method of candidate gene approach, digital candidate gene approach (DigiCGA) has emerged and been primarily applied to identify potential candidate genes in some studies. This review summarizes the progress, application software, online tools, and challenges related to this approach.
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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.