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MARRVEL: Integration of Human and Model Organism Genetic Resources to Facilitate Functional Annotation of the Human Genome
Author(s) -
Julia Wang,
Rami AlOuran,
Yanhui Hu,
SeonYoung Kim,
YingWooi Wan,
Michael F. Wangler,
Shinya Yamamoto,
HsiaoTuan Chao,
Aram Comjean,
Stephanie E. Mohr,
Norbert Perrimon,
Zhandong Liu,
Hugo J. Bellen,
David R. Adams,
Mercedes E. Alejandro,
Patrick Allard,
Euan A. Ashley,
Mahshid S. Azamian,
Carlos A. Bacino,
Ashok Balasubramanyam,
Hayk Barseghyan,
Alan H. Beggs,
Jonathan A. Bernstein,
Anna Bican,
David Bick,
Camille L. Birch,
Braden Boone,
Lauren C. Briere,
Donna M. Brown,
Matthew Brush,
Elizabeth A. Burke,
Lindsay C. Burrage,
Katherine R. Chao,
Gary Clark,
Joy D. Cogan,
Cynthia M. Cooper,
William J. Craigen,
Mariska Davids,
Jyoti G. Dayal,
Esteban C. Dell’Angelica,
Shweta U. Dhar,
Katrina M. Dipple,
Laurel A. DonnellFink,
Naghmeh Dorrani,
Daniel C. Dorset,
David D. Draper,
Annika M. Dries,
David J. Eckstein,
Lisa Emrick,
Christine M. Eng,
Cecilia Esteves,
Tyra Estwick,
Paul G. Fisher,
Trevor S. Frisby,
Kate Frost,
William A. Gahl,
Valerie Gartner,
Rena A. Godfrey,
Mitchell Goheen,
Gretchen Golas,
David Goldstein,
Mary “Gracie” G. Gordon,
Sarah E. Gould,
Jean-Philippe F. Gourdine,
Brett H. Graham,
Catherine Groden,
Andrea Gropman,
Mary E. Hackbarth,
Melissa Haendel,
Rizwan Hamid,
Neil A. Hanchard,
Lori H. Handley,
Isabel Hardee,
Matthew Herzog,
Ingrid A. Holm,
Ellen M. Howerton,
Howard J. Jacob,
Mahim Jain,
Yonghui Jiang,
Jean M. Johnston,
Angela Jones,
Alanna E. Koehler,
David M. Koeller,
Isaac S. Kohane,
Jennefer N. Kohler,
Donna M. Krasnewich,
Elizabeth L. Krieg,
Joel B. Krier,
Jennifer Kyle,
Seema R. Lalani,
Lea Latham,
Yvonne L. Latour,
C. Christopher Lau,
Jozef Lazar,
Brendan Lee,
Hane Lee,
Paul R. Lee,
Shawn Levy,
Denise J. Levy,
Richard A. Lewis,
Adam Liebendorfer,
Sharyn A. Lincoln,
Carson R. Loomis,
Joseph Loscalzo,
Richard L. Maas,
Ellen F. Macnamara,
Calum A. MacRae,
Valerie V. Maduro,
May Christine V. Malicdan,
Laura A. Mamounas,
Teri A. Manolio,
Thomas C. Markello,
Paul Mazur,
Alexandra J. McCarty,
Allyn McConkieRosell,
Alexa T. McCray,
Thomas Metz,
Matthew Might,
Paolo Moretti,
John J. Mulvihill,
Jennifer L. Murphy,
Donna M. Muzny,
Michele Nehrebecky,
Stan F. Nelson,
J. Scott Newberry,
John Henry Newman,
Sarah K. Nicholas,
Donovacic,
Jordan S. Orange,
J. Carl Pallais,
Christina G.S. Palmer,
Jeanette C. Papp,
Loren D.M. Peña,
John A. Phillips,
Jennifer E. Posey,
John H. Postlethwait,
Lorraine Potocki,
Barbara N. Pusey,
Rachel Ramoni,
Amy K. Robertson,
Lance H. Rodan,
Jill A. Rosenfeld,
Sarah Sadozai,
Katherine E. Schaffer,
Kelly Schoch,
Molly C. Schroeder,
Daryl A. Scott,
Prashant Sharma,
Vandana Shashi,
Edwin K. Silverman,
Janet S. Sinsheimer,
Ariane Soldatos,
Rebecca C. Spillmann,
Kimberly Splinter,
Joan M. Stoler,
Nicholas Stong,
Kimberly A. Strong,
Jennifer A. Sullivan,
David A. Sweetser,
Sara Thomas,
Cynthia J. Tifft,
Nathanial J. Tolman,
Camilo Toro,
Alyssa A. Tran,
Zaheer Valivullah,
Éric Vilain,
Daryl Waggott,
Colleen E. Wahl,
Sophie Nicole,
Chris A. Walsh,
Mike Warburton,
Patricia A. Ward,
Katrina M. Waters,
BobbieJo WebbRobertson,
Alec A. Weech,
Monte Westerfield,
Matthew T. Wheeler,
Anastasia L. Wise,
Lynne A. Wolfe,
Elizabeth A. Worthey,
Yaping Yang,
Guoyun Yu,
Patricia A. Zornio
Publication year - 2017
Publication title -
the american journal of human genetics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 6.661
H-Index - 302
eISSN - 1537-6605
pISSN - 0002-9297
DOI - 10.1016/j.ajhg.2017.04.010
Subject(s) - organism , model organism , annotation , human genome , computational biology , genome , biology , genome project , computer science , evolutionary biology , genetics , gene
One major challenge encountered with interpreting human genetic variants is the limited understanding of the functional impact of genetic alterations on biological processes. Furthermore, there remains an unmet demand for an efficient survey of the wealth of information on human homologs in model organisms across numerous databases. To efficiently assess the large volume of publically available information, it is important to provide a concise summary of the most relevant information in a rapid user-friendly format. To this end, we created MARRVEL (model organism aggregated resources for rare variant exploration). MARRVEL is a publicly available website that integrates information from six human genetic databases and seven model organism databases. For any given variant or gene, MARRVEL displays information from OMIM, ExAC, ClinVar, Geno2MP, DGV, and DECIPHER. Importantly, it curates model organism-specific databases to concurrently display a concise summary regarding the human gene homologs in budding and fission yeast, worm, fly, fish, mouse, and rat on a single webpage. Experiment-based information on tissue expression, protein subcellular localization, biological process, and molecular function for the human gene and homologs in the seven model organisms are arranged into a concise output. Hence, rather than visiting multiple separate databases for variant and gene analysis, users can obtain important information by searching once through MARRVEL. Altogether, MARRVEL dramatically improves efficiency and accessibility to data collection and facilitates analysis of human genes and variants by cross-disciplinary integration of 18 million records available in public databases to facilitate clinical diagnosis and basic research.

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