PhenoDB, GeneMatcher and VariantMatcher, tools for analysis and sharing of sequence data.
PhenoDB, GeneMatcher and VariantMatcher, tools for analysis and sharing of sequence data.
复制标题
DOI:
10.1186/s13023-021-01916-z
复制
发表时间:
2021-08-18
影响因子:
3.7
通讯作者:
Sobreira N
中科院分区:
文献类型:
--
作者:
Wohler E;Martin R;Griffith S;Rodrigues EDS;Antonescu C;Posey JE;Coban-Akdemir Z;Jhangiani SN;Doheny KF;Lupski JR;Valle D;Hamosh A;Sobreira N
With the advent of whole exome (ES) and genome sequencing (GS) as tools for disease gene discovery, rare variant filtering, prioritization and data sharing have become essential components of the search for disease genes and variants potentially contributing to disease phenotypes. The computational storage, data manipulation, and bioinformatic interpretation of thousands to millions of variants identified in ES and GS, respectively, is a challenging task. To aid in that endeavor, we constructed PhenoDB, GeneMatcher and VariantMatcher. PhenoDB is an accessible, freely available, web-based platform that allows users to store, share, analyze and interpret their patients’ phenotypes and variants from ES/GS data. GeneMatcher is accessible to all stakeholders as a web-based tool developed to connect individuals (researchers, clinicians, health care providers and patients) around the globe with interest in the same gene(s), variant(s) or phenotype(s). Finally, VariantMatcher was developed to enable public sharing of variant-level data and phenotypic information from individuals sequenced as part of multiple disease gene discovery projects. Here we provide updates on PhenoDB and GeneMatcher applications and implementation and introduce VariantMatcher. Each of these tools has facilitated worldwide data sharing and data analysis and improved our ability to connect genes to phenotypic traits. Further development of these platforms will expand variant analysis, interpretation, novel disease-gene discovery and facilitate functional annotation of the human genome for clinical genomics implementation and the precision medicine initiative. The online version contains supplementary material available at 10.1186/s13023-021-01916-z.
登录
查看更多内容
DOI:
10.1038/gim.2013.73
发表时间:
2013-07
期刊:
Genetics in medicine : official journal of the American College of Medical Genetics
影响因子:
--
作者:
通讯作者:
--
影响因子:
14.9
作者:
The Gene Ontology Consortium
通讯作者:
The Gene Ontology Consortium
影响因子:
14.9
作者:
Buniello, Annalisa;MacArthur, Jacqueline A. L.;Parkinson, Helen
通讯作者:
Parkinson, Helen
影响因子:
64.8
作者:
Karczewski, Konrad J;Francioli, Laurent C;MacArthur, Daniel G
通讯作者:
MacArthur, Daniel G
影响因子:
3.9
作者:
Sobreira N;Schiettecatte F;Boehm C;Valle D;Hamosh A
通讯作者:
Hamosh A