ArticleNature2014
Guidelines for investigating causality of sequence variants in human disease.
Article in Nature, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03829176 (Investigating the Feasibility and Implementation of Whole Genome Sequencing in Patients With Suspected Genetic Disorder), which is not on this map. Cited by 710 papers, 5 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.
Investigating the Feasibility and Implementation of Whole Genome Sequencing in Patients With Suspected Genetic Disorder
Who cites it
710 citing papers in PubMed, 5 syntheses or guidelines pooled it.
- Whole-Exome Sequencing for the Identification of Genetic Factors Implicated in Severe Bacterial Infections: A Systematic Review.The Journal of infectious diseases · 2026Pooled it
- Genetic Influences on the Developing Young Brain and Risk for Neuropsychiatric Disorders.Biological psychiatry · 2023Pooled it
- Guideline
- Clinical Pharmacogenetics Implementation Consortium Guideline for the Use of Aminoglycosides Based on MT-RNR1 Genotype.Clinical pharmacology and therapeutics · 2022Guideline
- How to deal with uncertainty in prenatal genomics: A systematic review of guidelines and policies.Clinical genetics · 2021Pooled it
- Revolutionizing neonatal health: India's journey from assays to advanced genetics.Journal of applied genetics · 2026Review
- Article
- Integrating single-cell sQTL mapping with deep-learning splicing prediction identifies causal variants under influenza infection.Genome biology · 2026Article
- criTRia: A Classification System and Evidence Criteria for Tandem Repeat Locus-Disease Relationships.medRxiv : the preprint server for health sciences · 2026Article
- Exploring cell-type associations of rare disease phenotypes using non-diseased cell atlases.Briefings in bioinformatics · 2026Article
- Nephrin-IgG co-localization expression in pediatric steroid-resistant nephrotic syndrome: a case series from Indonesia.CEN case reports · 2026Article
- Historical Perspectives, Classification and Diagnostic Approaches of Inborn Errors of Metabolism: A Systematic Review and Meta-Analysis.Metabolites · 2026Review
- A Comprehensive Analysis of the Agreement and Performance of Variant Annotation Programs in Equine Genomes.Genes · 2026Article
- Identification of the ACTB p.Ser348Leu de novo variant in individuals with syndromic neonatal diabetes.EBioMedicine · 2026Article
- Benchmarking genetic birth prevalence estimates against newborn screening data.American journal of human genetics · 2026Article
- Tutorial for variant interrogation in tumor samples.PLoS computational biology · 2026Article
- An accurate cellular assay to determine pathogenicity of coding and noncoding variants in Lynch syndrome genes.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Causal splicing variants revealed by deep-learning integration of single-cell sQTL mapping under influenza infection.Research square · 2026Article
- Exploring cooperation among social pathogens: a computational perspective.FEMS microbiology reviews · 2026Review
- A Scoping Review on Genetic Mutations and Single-Nucleotide Polymorphisms Associated with Pectus Excavatum.Journal of multidisciplinary healthcare · 2026Review
650 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
27 authors.
Funding
Abstract
The discovery of rare genetic variants is accelerating, and clear guidelines for distinguishing disease-causing sequence variants from the many potentially functional variants present in any human genome are urgently needed. Without rigorous standards we risk an acceleration of false-positive reports of causality, which would impede the translation of genomic research findings into the clinical diagnostic setting and hinder biological understanding of disease. Here we discuss the key challenges of assessing sequence variants in human disease, integrating both gene-level and variant-level support for causality. We propose guidelines for summarizing confidence in variant pathogenicity and highlight several areas that require further resource development.
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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.