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ClinVar database of global familial hypercholesterolemia‐associated DNA variants
Author(s) -
Iacocca Michael A.,
Chora Joana R.,
Carrié Alain,
Freiberger Tomáš,
Leigh Sarah E.,
Defesche Joep C.,
Kurtz C. Lisa,
DiStefano Marina T.,
Santos Raul D.,
Humphries Steve E.,
Mata Pedro,
Jannes Cinthia E.,
Hooper Amanda J.,
Wilemon Katherine A.,
Benlian Pascale,
O'Connor Robert,
Garcia John,
Wand Hannah,
Tichy Lukáš,
Sijbrands Eric J.,
Hegele Robert A.,
Bourbon Mafalda,
Knowles Joshua W.
Publication year - 2018
Publication title -
human mutation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.981
H-Index - 162
eISSN - 1098-1004
pISSN - 1059-7794
DOI - 10.1002/humu.23634
Subject(s) - biology , personalized medicine , resource (disambiguation) , mendelian inheritance , whole genome sequencing , disease , bioinformatics , database , genetics , genome , medicine , computer science , gene , computer network
Accurate and consistent variant classification is imperative for incorporation of rapidly developing sequencing technologies into genomic medicine for improved patient care. An essential requirement for achieving standardized and reliable variant interpretation is data sharing, facilitated by a centralized open‐source database. Familial hypercholesterolemia (FH) is an exemplar of the utility of such a resource: it has a high incidence, a favorable prognosis with early intervention and treatment, and cascade screening can be offered to families if a causative variant is identified. ClinVar, an NCBI‐funded resource, has become the primary repository for clinically relevant variants in Mendelian disease, including FH. Here, we present the concerted efforts made by the Clinical Genome Resource, through the FH Variant Curation Expert Panel and global FH community, to increase submission of FH‐associated variants into ClinVar. Variant‐level data was categorized by submitter, variant characteristics, classification method, and available supporting data. To further reform interpretation of FH‐associated variants, areas for improvement in variant submissions were identified; these include a need for more detailed submissions and submission of supporting variant‐level data, both retrospectively and prospectively. Collaborating to provide thorough, reliable evidence‐based variant interpretation will ultimately improve the care of FH patients.