ArticleBMC bioinformatics2021
ATAV: a comprehensive platform for population-scale genomic analyses.
Article in BMC bioinformatics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.
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Who cites it
30 citing papers in PubMed, 41 citations in OpenAlex.
- Increased risk of kidney failure in patients with genetic kidney disorders.The Journal of clinical investigation · 2024Trial
- Precision Diagnosis in APOL1 Kidney Disease With the p.N264K M1 Protective Variant.JAMA network open · 2026Article
- Interstitial cystitis: a phenotype and rare variant exome sequencing study.EBioMedicine · 2026Article
- Genetic contributors to osteoporosis in pregnancy and lactation associated osteoporosis (PLO).Bone · 2026Article
- Identification of pathological CD133+ endothelial cells in venous malformations.Frontiers in cardiovascular medicine · 2026Article
- Exome analysis links kidney malformations to developmental disorders and reveals causal genes.Nature communications · 2025Article
- Natural History and Clinicopathological Associations of TRPC6-Associated Podocytopathy.Journal of the American Society of Nephrology : JASN · 2025Article
- Developing a genetic testing panel for evaluation of morbidities in kidney transplant recipients.Kidney international · 2024Article
- Rare variant analyses validate known ALS genes in a multi-ethnic population and identifies ANTXR2 as a candidate in PLS.BMC genomics · 2024Article
- FLT3L governs the development of partially overlapping hematopoietic lineages in humans and mice.Cell · 2024Article
- Assisting the analysis of insertions and deletions using regional allele frequencies.Functional & integrative genomics · 2024Article
- Investigating the Relationship Between Rare Genetic Variants and Fibrosis in Pediatric Nonalcoholic Fatty Liver Disease.medRxiv : the preprint server for health sciences · 2024Article
- The expanded spectrum of human disease associated with GREB1L likely includes complex congenital heart disease.Prenatal diagnosis · 2024Article
- The immunopathological landscape of human pre-TCRα deficiency: From rare to common variants.Science (New York, N.Y.) · 2024Article
- Recombinant IFN-γ1b Treatment in a Patient with Inherited IFN-γ Deficiency.Journal of clinical immunology · 2024Article
- Rare variant analyses validate known ALS genes in a multi-ethnic population and identifiesResearch square · 2023Article
- The diagnostic yield of exome sequencing in liver diseases from a curated gene panel.Scientific reports · 2023Article
- Mouse and human studies support DSTYK loss of function as a low-penetrance and variable expressivity risk factor for congenital urinary tract anomalies.Genetics in medicine : official journal of the American College of Medical Genetics · 2023Article
- Variants ofBiomedical reports · 2023Article
- Investigation into the genetics of fetal congenital lymphatic anomalies.Prenatal diagnosis · 2023Article
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundA common approach for sequencing studies is to do joint-calling and store variants of all samples in a single file. If new samples are continually added or controls are re-used for several studies, the cost and time required to perform joint-calling for each analysis can become prohibitive.
resultsWe present ATAV, an analysis platform for large-scale whole-exome and whole-genome sequencing projects. ATAV stores variant and per site coverage data for all samples in a centralized database, which is efficiently queried by ATAV to support diagnostic analyses for trios and singletons, as well as rare-variant collapsing analyses for finding disease associations in complex diseases. Runtime logs ensure full reproducibility and the modularized ATAV framework makes it extensible to continuous development. Besides helping with the identification of disease-causing variants for a range of diseases, ATAV has also enabled the discovery of disease-genes by rare-variant collapsing on datasets containing more than 20,000 samples. Analyses to date have been performed on data of more than 110,000 individuals demonstrating the scalability of the framework. To allow users to easily access variant-level data directly from the database, we provide a web-based interface, the ATAV data browser ( http://atavdb.org/ ). Through this browser, summary-level data for more than 40,000 samples can be queried by the general public representing a mix of cases and controls of diverse ancestries. Users have access to phenotype categories of variant carriers, as well as predicted ancestry, gender, and quality metrics. In contrast to many other platforms, the data browser is able to show data of newly-added samples in real-time and therefore evolves rapidly as more and more samples are sequenced.
conclusionsThrough ATAV, users have public access to one of the largest variant databases for patients sequenced at a tertiary care center and can look up any genes or variants of interest. Additionally, since the entire code is freely available on GitHub, ATAV can easily be deployed by other groups that wish to build their own platform, database, and user interface.
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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.