<scp>VariantMatcher</scp> : Phenotypic and Genomic Data Sharing to Facilitate Variant Classification and Disease Gene Discovery

VariantMatcher is a web-based platform developed to share variant-level genomic data and phenotypic information. Here, we describe the experience of a clinical laboratory in Brazil, DASA, utilizing VariantMatcher to enhance variant classification in a clinical setting. We retrospectively analyzed 3025 molecular genetic test results to identify variants classified as variants of uncertain significance (VUS). Of 2302 reported variants, 1679 were classified as VUS. Next, we selected the 542 VUS not described in gnomAD to investigate their presence in VariantMatcher. Of these 542, 80 variants were present in VariantMatcher. Sixty-three of them were identified in individuals with a phenotypic overlap. Further investigation of the phenotypic features of individuals with the same variants led to the reclassification of 20 (32%) of the 63 variants. Notably, most of the reclassifications helped rule out the queried variant as causative for the phenotype being investigated, particularly for autosomal or X-linked dominant diseases with early onset and complete penetrance. Our experience supports the benefits of data sharing in the clinical setting, which can improve variant classification accuracy and provide more precise guidance for informed clinical decision-making.

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Publication Details

Journal
American Journal of Medical Genetics Part A
Published
2026-03-07
DOI
https://doi.org/10.1002/ajmg.a.70090
Primary Topic
Genomics and Rare Diseases
Type
article
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article

VariantMatcher : Phenotypic and Genomic Data Sharing to Facilitate Variant Classification and Disease Gene Discovery

Mireille Gomes, Luciana Santos Serrão de Castro, Joselito Sobreira, Edenir Inêz Palmero et al.
American Journal of Medical Genetics Part A
Genomics and Rare Diseases
article

VariantMatcher : Phenotypic and Genomic Data Sharing to Facilitate Variant Classification and Disease Gene Discovery

Mireille Gomes, Luciana Santos Serrão de Castro, Joselito Sobreira, Edenir Inêz Palmero, Diana Bermeo, Cristovam Scapulatempo‐Neto, Darine Villela, Thereza Loureiro, Renan Paulo [UNIFESP] Martin, Nara Sobreira, Marcelo Szeremeta, Dayse Alencar
article en

Abstract

VariantMatcher is a web-based platform developed to share variant-level genomic data and phenotypic information. Here, we describe the experience of a clinical laboratory in Brazil, DASA, utilizing VariantMatcher to enhance variant classification in a clinical setting. We retrospectively analyzed 3025 molecular genetic test results to identify variants classified as variants of uncertain significance (VUS). Of 2302 reported variants, 1679 were classified as VUS. Next, we selected the 542 VUS not described in gnomAD to investigate their presence in VariantMatcher. Of these 542, 80 variants were present in VariantMatcher. Sixty-three of them were identified in individuals with a phenotypic overlap. Further investigation of the phenotypic features of individuals with the same variants led to the reclassification of 20 (32%) of the 63 variants. Notably, most of the reclassifications helped rule out the queried variant as causative for the phenotype being investigated, particularly for autosomal or X-linked dominant diseases with early onset and complete penetrance. Our experience supports the benefits of data sharing in the clinical setting, which can improve variant classification accuracy and provide more precise guidance for informed clinical decision-making.

American Journal of Medical Genetics Part A
Johns Hopkins University (US), Johns Hopkins Medicine (US), DASA (Brazil), Insper (BR)
Peace, Justice and strong institutions
Openalex Percentile: Top 30%
Genomics and Rare Diseases
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