ReviewBMC genetics2013
Candidate gene association studies: a comprehensive guide to useful in silico tools.
Review in BMC genetics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers, 3 of them syntheses that pooled it.
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
49 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Genetic Influences on the Developing Young Brain and Risk for Neuropsychiatric Disorders.Biological psychiatry · 2023Pooled it
- Methodological quality assessment of genetic studies on brain arteriovenous malformation related hemorrhage: A cross-sectional study.Frontiers in genetics · 2023Pooled it
- Association between aBioMed research international · 2020Pooled it
- Role of the TGF-β cytokine and its gene polymorphisms in asthma etiopathogenesis.Frontiers in allergy · 2025Review
- Therapeutic gene target prediction using novel deep hypergraph representation learning.Briefings in bioinformatics · 2024Article
- Synaptotagmin 4 Supports Spontaneous Axon Sprouting after Spinal Cord Injury.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024Article
- Schizophrenia in the genetic era: a review from development history, clinical features and genomic research approaches to insights of susceptibility genes.Metabolic brain disease · 2024Review
- Role of TNFPain research & management · 2024Review
- Adopting Integrated Bioinformatics and Systems Biology Approaches to Pinpoint the COVID-19 Patients' Risk Factors That Uplift the Onset of Posttraumatic Stress Disorder.Bioinformatics and biology insights · 2024Article
- A Pilot Genome-Wide Association Study Identifies Novel Markers of Metabolic Syndrome in Patients with Psoriasis.Annals of dermatology · 2023Article
- A variant rs6214 within IGF-1 confers risk for ulcerative colitis in Chinese Han populations.Functional & integrative genomics · 2022Article
- Genomic Medicine in Periodontal Disease: Old Issue, New Insights.Journal of veterinary dentistry · 2022Article
- Risky Early Family Environment and Genetic Associations with Adult Metabolic Dysregulation.International journal of environmental research and public health · 2022Article
- The Role of Pharmacogenomics in Opioid Prescribing.Current treatment options in oncology · 2022Review
- Effect of Genetic Polymorphism Including NUP153 and SVEP1 on the Pharmacokinetics and Pharmacodynamics of Ticagrelor in Healthy Chinese Subjects.Clinical drug investigation · 2022Article
- Genetics and erectile dysfunction: leveraging early foundations for new discoveries.International journal of impotence research · 2022Review
- Genomics and Epigenomics of Gestational Diabetes Mellitus: Understanding the Molecular Pathways of the Disease Pathogenesis.International journal of molecular sciences · 2022Review
- Computational Analysis of Deleterious SNPs inFrontiers in genetics · 2022Article
- Genetic variation in the ovineArchives animal breeding · 2022Article
- Diets, nutrients, genes and the microbiome: recent advances in personalised nutrition.The British journal of nutrition · 2021Review
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
The candidate gene approach has been a pioneer in the field of genetic epidemiology, identifying risk alleles and their association with clinical traits. With the advent of rapidly changing technology, there has been an explosion of in silico tools available to researchers, giving them fast, efficient resources and reliable strategies important to find casual gene variants for candidate or genome wide association studies (GWAS). In this review, following a description of candidate gene prioritisation, we summarise the approaches to single nucleotide polymorphism (SNP) prioritisation and discuss the tools available to assess functional relevance of the risk variant with consideration to its genomic location. The strategy and the tools discussed are applicable to any study investigating genetic risk factors associated with a particular disease. Some of the tools are also applicable for the functional validation of variants relevant to the era of GWAS and next generation sequencing (NGS).
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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.