Literature DB >> 35165961

PhenomeCentral: 7 years of rare disease matchmaking.

Matthew Osmond1, Taila Hartley1, Brittney Johnstone2, Sasha Andjic3, Marta Girdea3, Meredith Gillespie1, Orion Buske4, Sergiu Dumitriu3, Veronika Koltunova3, Arun Ramani5, Kym M Boycott1,6, Michael Brudno3,7,5.   

Abstract

A major challenge in validating genetic causes for patients with rare diseases (RDs) is the difficulty in identifying other RD patients with overlapping phenotypes and variants in the same candidate gene. This process, known as matchmaking, requires robust data sharing solutions to be effective. In 2014 we launched PhenomeCentral, a RD data repository capable of collecting computer-readable genotypic and phenotypic data for the purposes of RD matchmaking. Over the past 7 years PhenomeCentral's features have been expanded and its data set has consistently grown. There are currently 1615 users registered on PhenomeCentral, which have contributed over 12,000 patient cases. Most of these cases contain detailed phenotypic terms, with a significant portion also providing genomic sequence data or other forms of clinical information. Matchmaking within PhenomeCentral, and with connections to other data repositories in the Matchmaker Exchange, have collectively resulted in over 60,000 matches, which have facilitated multiple gene discoveries. The collection of deep phenotypic and genotypic data has also positioned PhenomeCentral well to support next generation of matchmaking initiatives that utilize genome sequencing data, ensuring that PhenomeCentral will remain a useful tool in solving undiagnosed RD cases in the years to come.
© 2022 Wiley Periodicals LLC.

Entities:  

Keywords:  HPO; Matchmaker Exchange; PhenomeCentral; data sharing; patient matchmaking; rare disease

Mesh:

Year:  2022        PMID: 35165961     DOI: 10.1002/humu.24348

Source DB:  PubMed          Journal:  Hum Mutat        ISSN: 1059-7794            Impact factor:   4.878


  4 in total

1.  Seven years since the launch of the Matchmaker Exchange: The evolution of genomic matchmaking.

Authors:  Kym M Boycott; Danielle R Azzariti; Ada Hamosh; Heidi L Rehm
Journal:  Hum Mutat       Date:  2022-05-10       Impact factor: 4.700

2.  2022: a pivotal year for diagnosis and treatment of rare genetic diseases.

Authors:  Stephen F Kingsmore
Journal:  Cold Spring Harb Mol Case Stud       Date:  2022-03-24

3.  The impact of GeneMatcher on international data sharing and collaboration.

Authors:  Ada Hamosh; Elizabeth Wohler; Renan Martin; Sean Griffith; Eliete da S Rodrigues; Corina Antonescu; Kimberly F Doheny; David Valle; Nara Sobreira
Journal:  Hum Mutat       Date:  2022-03-28       Impact factor: 4.700

4.  The RD-Connect Genome-Phenome Analysis Platform: Accelerating diagnosis, research, and gene discovery for rare diseases.

Authors:  Steven Laurie; Davide Piscia; Leslie Matalonga; Alberto Corvó; Marcos Fernández-Callejo; Carles Garcia-Linares; Carles Hernandez-Ferrer; Cristina Luengo; Inés Martínez; Anastasios Papakonstantinou; Daniel Picó-Amador; Joan Protasio; Rachel Thompson; Raul Tonda; Mònica Bayés; Gemma Bullich; Jordi Camps-Puchadas; Ida Paramonov; Jean-Rémi Trotta; Angel Alonso; Marcella Attimonelli; Christophe Béroud; Virginie Bros-Facer; Orion J Buske; Andrés Cañada-Pallarés; José M Fernández; Mats G Hansson; Rita Horvath; Julius O B Jacobsen; Rajaram Kaliyaperumal; Séverine Lair-Préterre; Luana Licata; Pedro Lopes; Estrella López-Martín; Deborah Mascalzoni; Lucia Monaco; Luis A Pérez-Jurado; Manuel Posada de la Paz; Jordi Rambla; Ana Rath; Olaf Riess; Peter N Robinson; David Salgado; Damian Smedley; Dylan Spalding; Peter A C 't Hoen; Ana Töpf; Irina Zaharieva; Holm Graessner; Ivo G Gut; Hanns Lochmüller; Sergi Beltran
Journal:  Hum Mutat       Date:  2022-06       Impact factor: 4.700

  4 in total

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