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Clinical variants paired with phenotype: A rich resource for brain gene curation

表型 疾病 遗传学 基因 计算生物学 生物 基因检测 遗传异质性 医学 生物信息学 病理
作者
Maya Chopra,Juliann M. Savatt,Taylor I. Bingaman,Molly E. Good,Alexis Morgan,Caitlin Cooney,Allison M. Rossel,Bryanna VanHoute,Ineke Cordova,Sonal Mahida,Virginia Lanzotti,Dustin Baldridge,Christina A. Gurnett,Joseph Piven,Heather C. Hazlett,Scott L. Pomeroy,Mustafa Şahin,Philip Payne,Erin Rooney Riggs,John N. Constantino
出处
期刊:Genetics in Medicine [Springer Nature]
卷期号:26 (3): 101035-101035 被引量:8
标识
DOI:10.1016/j.gim.2023.101035
摘要

PurposeClinically ascertained variants are under-utilized in neurodevelopmental disorder research. We established the Brain Gene Registry (BGR) to coregister clinically identified variants in putative brain genes with participant phenotypes. Here, we report 179 genetic variants in the first 179 BGR registrants and analyze the proportion that were novel to ClinVar at the time of entry and those that were absent in other disease databases.MethodsFrom 10 academically affiliated institutions, 179 individuals with 179 variants were enrolled into the BGR. Variants were cross-referenced for previous presence in ClinVar and for presence in 6 other genetic databases.ResultsOf 179 variants in 76 genes, 76 (42.5%) were novel to ClinVar, and 62 (34.6%) were absent from all databases analyzed. Of the 103 variants present in ClinVar, 37 (35.9%) were uncertain (ClinVar aggregate classification of variant of uncertain significance or conflicting classifications). For 5 variants, the aggregate ClinVar classification was inconsistent with the interpretation from the BGR site-provided classification.ConclusionA significant proportion of clinical variants that are novel or uncertain are not shared, limiting the evidence base for new gene-disease relationships. Registration of paired clinical genetic test results with phenotype has the potential to advance knowledge of the relationships between genes and neurodevelopmental disorders.

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