Literature DB >> 33757430

ATAV: a comprehensive platform for population-scale genomic analyses.

Zhong Ren1, Gundula Povysil2, Joseph A Hostyk2, Hongzhu Cui2, Nitin Bhardwaj2, David B Goldstein2.   

Abstract

BACKGROUND: A 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.
RESULTS: We 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.
CONCLUSIONS: Through 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.

Entities:  

Keywords:  Association testing; Diagnostic; Gene discovery; Genome analysis; Web platform

Year:  2021        PMID: 33757430     DOI: 10.1186/s12859-021-04071-1

Source DB:  PubMed          Journal:  BMC Bioinformatics        ISSN: 1471-2105            Impact factor:   3.169


  31 in total

1.  Distribution and clinical impact of functional variants in 50,726 whole-exome sequences from the DiscovEHR study.

Authors:  Frederick E Dewey; Michael F Murray; John D Overton; Lukas Habegger; Joseph B Leader; Samantha N Fetterolf; Colm O'Dushlaine; Cristopher V Van Hout; Jeffrey Staples; Claudia Gonzaga-Jauregui; Raghu Metpally; Sarah A Pendergrass; Monica A Giovanni; H Lester Kirchner; Suganthi Balasubramanian; Noura S Abul-Husn; Dustin N Hartzel; Daniel R Lavage; Korey A Kost; Jonathan S Packer; Alexander E Lopez; John Penn; Semanti Mukherjee; Nehal Gosalia; Manoj Kanagaraj; Alexander H Li; Lyndon J Mitnaul; Lance J Adams; Thomas N Person; Kavita Praveen; Anthony Marcketta; Matthew S Lebo; Christina A Austin-Tse; Heather M Mason-Suares; Shannon Bruse; Scott Mellis; Robert Phillips; Neil Stahl; Andrew Murphy; Aris Economides; Kimberly A Skelding; Christopher D Still; James R Elmore; Ingrid B Borecki; George D Yancopoulos; F Daniel Davis; William A Faucett; Omri Gottesman; Marylyn D Ritchie; Alan R Shuldiner; Jeffrey G Reid; David H Ledbetter; Aris Baras; David J Carey
Journal:  Science       Date:  2016-12-23       Impact factor: 47.728

2.  REVEL: An Ensemble Method for Predicting the Pathogenicity of Rare Missense Variants.

Authors:  Nilah M Ioannidis; Joseph H Rothstein; Vikas Pejaver; Sumit Middha; Shannon K McDonnell; Saurabh Baheti; Anthony Musolf; Qing Li; Emily Holzinger; Danielle Karyadi; Lisa A Cannon-Albright; Craig C Teerlink; Janet L Stanford; William B Isaacs; Jianfeng Xu; Kathleen A Cooney; Ethan M Lange; Johanna Schleutker; John D Carpten; Isaac J Powell; Olivier Cussenot; Geraldine Cancel-Tassin; Graham G Giles; Robert J MacInnis; Christiane Maier; Chih-Lin Hsieh; Fredrik Wiklund; William J Catalona; William D Foulkes; Diptasri Mandal; Rosalind A Eeles; Zsofia Kote-Jarai; Carlos D Bustamante; Daniel J Schaid; Trevor Hastie; Elaine A Ostrander; Joan E Bailey-Wilson; Predrag Radivojac; Stephen N Thibodeau; Alice S Whittemore; Weiva Sieh
Journal:  Am J Hum Genet       Date:  2016-09-22       Impact factor: 11.025

3.  Improved Pathogenic Variant Localization via a Hierarchical Model of Sub-regional Intolerance.

Authors:  Tristan J Hayeck; Nicholas Stong; Charles J Wolock; Brett Copeland; Sitharthan Kamalakaran; David B Goldstein; Andrew S Allen
Journal:  Am J Hum Genet       Date:  2019-01-24       Impact factor: 11.025

4.  The intolerance to functional genetic variation of protein domains predicts the localization of pathogenic mutations within genes.

Authors:  Ayal B Gussow; Slavé Petrovski; Quanli Wang; Andrew S Allen; David B Goldstein
Journal:  Genome Biol       Date:  2016-01-18       Impact factor: 13.583

5.  Annotating pathogenic non-coding variants in genic regions.

Authors:  Sahar Gelfman; Quanli Wang; K Melodi McSweeney; Zhong Ren; Francesca La Carpia; Matt Halvorsen; Kelly Schoch; Fanni Ratzon; Erin L Heinzen; Michael J Boland; Slavé Petrovski; David B Goldstein
Journal:  Nat Commun       Date:  2017-08-09       Impact factor: 14.919

6.  Analysis of protein-coding genetic variation in 60,706 humans.

Authors:  Monkol Lek; Konrad J Karczewski; Eric V Minikel; Kaitlin E Samocha; Eric Banks; Timothy Fennell; Anne H O'Donnell-Luria; James S Ware; Andrew J Hill; Beryl B Cummings; Taru Tukiainen; Daniel P Birnbaum; Jack A Kosmicki; Laramie E Duncan; Karol Estrada; Fengmei Zhao; James Zou; Emma Pierce-Hoffman; Joanne Berghout; David N Cooper; Nicole Deflaux; Mark DePristo; Ron Do; Jason Flannick; Menachem Fromer; Laura Gauthier; Jackie Goldstein; Namrata Gupta; Daniel Howrigan; Adam Kiezun; Mitja I Kurki; Ami Levy Moonshine; Pradeep Natarajan; Lorena Orozco; Gina M Peloso; Ryan Poplin; Manuel A Rivas; Valentin Ruano-Rubio; Samuel A Rose; Douglas M Ruderfer; Khalid Shakir; Peter D Stenson; Christine Stevens; Brett P Thomas; Grace Tiao; Maria T Tusie-Luna; Ben Weisburd; Hong-Hee Won; Dongmei Yu; David M Altshuler; Diego Ardissino; Michael Boehnke; John Danesh; Stacey Donnelly; Roberto Elosua; Jose C Florez; Stacey B Gabriel; Gad Getz; Stephen J Glatt; Christina M Hultman; Sekar Kathiresan; Markku Laakso; Steven McCarroll; Mark I McCarthy; Dermot McGovern; Ruth McPherson; Benjamin M Neale; Aarno Palotie; Shaun M Purcell; Danish Saleheen; Jeremiah M Scharf; Pamela Sklar; Patrick F Sullivan; Jaakko Tuomilehto; Ming T Tsuang; Hugh C Watkins; James G Wilson; Mark J Daly; Daniel G MacArthur
Journal:  Nature       Date:  2016-08-18       Impact factor: 49.962

7.  The Intolerance of Regulatory Sequence to Genetic Variation Predicts Gene Dosage Sensitivity.

Authors:  Slavé Petrovski; Ayal B Gussow; Quanli Wang; Matt Halvorsen; Yujun Han; William H Weir; Andrew S Allen; David B Goldstein
Journal:  PLoS Genet       Date:  2015-09-02       Impact factor: 5.917

8.  GORpipe: a query tool for working with sequence data based on a Genomic Ordered Relational (GOR) architecture.

Authors:  Hákon Guðbjartsson; Guðmundur Fr Georgsson; Sigurjón A Guðjónsson; Ragnar Þór Valdimarsson; Jóhann H Sigurðsson; Sigmar K Stefánsson; Gísli Másson; Gísli Magnússon; Vilmundur Pálmason; Kári Stefánsson
Journal:  Bioinformatics       Date:  2016-06-23       Impact factor: 6.937

9.  Optimizing genomic medicine in epilepsy through a gene-customized approach to missense variant interpretation.

Authors:  Joshua Traynelis; Michael Silk; Quanli Wang; Samuel F Berkovic; Liping Liu; David B Ascher; David J Balding; Slavé Petrovski
Journal:  Genome Res       Date:  2017-09-01       Impact factor: 9.043

10.  The mutational constraint spectrum quantified from variation in 141,456 humans.

Authors:  Konrad J Karczewski; Laurent C Francioli; Grace Tiao; Beryl B Cummings; Jessica Alföldi; Qingbo Wang; Ryan L Collins; Kristen M Laricchia; Andrea Ganna; Daniel P Birnbaum; Laura D Gauthier; Harrison Brand; Matthew Solomonson; Nicholas A Watts; Daniel Rhodes; Moriel Singer-Berk; Eleina M England; Eleanor G Seaby; Jack A Kosmicki; Raymond K Walters; Katherine Tashman; Yossi Farjoun; Eric Banks; Timothy Poterba; Arcturus Wang; Cotton Seed; Nicola Whiffin; Jessica X Chong; Kaitlin E Samocha; Emma Pierce-Hoffman; Zachary Zappala; Anne H O'Donnell-Luria; Eric Vallabh Minikel; Ben Weisburd; Monkol Lek; James S Ware; Christopher Vittal; Irina M Armean; Louis Bergelson; Kristian Cibulskis; Kristen M Connolly; Miguel Covarrubias; Stacey Donnelly; Steven Ferriera; Stacey Gabriel; Jeff Gentry; Namrata Gupta; Thibault Jeandet; Diane Kaplan; Christopher Llanwarne; Ruchi Munshi; Sam Novod; Nikelle Petrillo; David Roazen; Valentin Ruano-Rubio; Andrea Saltzman; Molly Schleicher; Jose Soto; Kathleen Tibbetts; Charlotte Tolonen; Gordon Wade; Michael E Talkowski; Benjamin M Neale; Mark J Daly; Daniel G MacArthur
Journal:  Nature       Date:  2020-05-27       Impact factor: 69.504

View more
  3 in total

1.  Association of ultra-rare coding variants with genetic generalized epilepsy: A case-control whole exome sequencing study.

Authors:  Mahmoud Koko; Joshua E Motelow; Kate E Stanley; Dheeraj R Bobbili; Ryan S Dhindsa; Patrick May
Journal:  Epilepsia       Date:  2022-01-15       Impact factor: 5.864

2.  Whole exome sequencing reveals potentially pathogenic variants in a small subset of premenopausal women with idiopathic osteoporosis.

Authors:  Adi Cohen; Joseph Hostyk; Evan H Baugh; Christie M Buchovecky; Vimla S Aggarwal; Robert R Recker; Joan M Lappe; David W Dempster; Hua Zhou; Mafo Kamanda-Kosseh; Mariana Bucovsky; Julie Stubby; David B Goldstein; Elizabeth Shane
Journal:  Bone       Date:  2021-11-04       Impact factor: 4.398

3.  Burden of Cardiomyopathic Genetic Variation in Lethal Pediatric Myocarditis.

Authors:  Amy R Kontorovich; Yingying Tang; Barbara Sampson; Bruce D Gelb; Nihir Patel; Zhanna Georgievskaya; Mariya Shadrina; Nori Williams; Arden Moscati; Inga Peter; Yuval Itan
Journal:  Circ Genom Precis Med       Date:  2021-07-06
  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.