Informace o publikaci

ClinVar database of global familial hypercholesterolemia-associated DNA variants

Autoři	IACOCCA M.A. CHORA J.R. CARRIE A. FREIBERGER Tomáš LEIGH S.E. DEFESCHE J.C. KURTZ C.L. DISTEFANO M.T. SANTOS R.D. HUMPHRIES S.E. MATA P. JANNES C.E. HOOPER A.J. WILEMON K.A. BENLIAN P. O CONNOR R. GARCIA J. WAND H. TICHÝ Lukáš SIJBRANDS E.J. HEGELE R.A. BOURBON M. KNOWLES J.W.
Rok publikování	2018
Druh	Článek v odborném periodiku
Časopis / Zdroj	Human Mutation
Fakulta / Pracoviště MU	Lékařská fakulta
Citace
Doi	http://dx.doi.org/10.1002/humu.23634
Klíčová slova	Clinical Genome Resource; ClinVar; familial hypercholesterolemia; variant interpretation
Popis	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.