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Systematic use of phenotype evidence in clinical genetic testing reduces the frequency of variants of uncertain significance

Guidelines for variant interpretation include criteria for incorporating phenotype evidence, but this evidence is inconsistently applied. Systematic approaches to using phenotype evidence are needed. We developed a method for curating disease phenotypes as highly or moderately predictive of variant...

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Autores principales: Johnson, Britt, Ouyang, Karen, Frank, Lauren, Truty, Rebecca, Rojahn, Susan, Morales, Ana, Aradhya, Swaroop, Nykamp, Keith
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9544038/
https://www.ncbi.nlm.nih.gov/pubmed/35570716
http://dx.doi.org/10.1002/ajmg.a.62779
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author Johnson, Britt
Ouyang, Karen
Frank, Lauren
Truty, Rebecca
Rojahn, Susan
Morales, Ana
Aradhya, Swaroop
Nykamp, Keith
author_facet Johnson, Britt
Ouyang, Karen
Frank, Lauren
Truty, Rebecca
Rojahn, Susan
Morales, Ana
Aradhya, Swaroop
Nykamp, Keith
author_sort Johnson, Britt
collection PubMed
description Guidelines for variant interpretation include criteria for incorporating phenotype evidence, but this evidence is inconsistently applied. Systematic approaches to using phenotype evidence are needed. We developed a method for curating disease phenotypes as highly or moderately predictive of variant pathogenicity based on the frequency of their association with disease‐causing variants. To evaluate this method's accuracy, we retrospectively reviewed variants with clinical classifications that had evolved from uncertain to definitive in genes associated with curated predictive phenotypes. To demonstrate the clinical validity and utility of this approach, we compared variant classifications determined with and without predictive phenotype evidence. The curation method was accurate for 93%–98% of eligible variants. Among variants interpreted using highly predictive phenotype evidence, the percentage classified as pathogenic or likely pathogenic was 80%, compared with 46%–54% had the evidence not been used. Positive results among individuals harboring variants with highly predictive phenotype‐guided interpretations would have been missed in 25%–37% of diagnostic tests and 39%–50% of carrier screens had other approaches to phenotype evidence been used. In summary, predictive phenotype evidence associated with specific curated genes can be systematically incorporated into variant interpretation to reduce uncertainty and increase the clinical utility of genetic testing.
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spelling pubmed-95440382022-10-14 Systematic use of phenotype evidence in clinical genetic testing reduces the frequency of variants of uncertain significance Johnson, Britt Ouyang, Karen Frank, Lauren Truty, Rebecca Rojahn, Susan Morales, Ana Aradhya, Swaroop Nykamp, Keith Am J Med Genet A Original Articles Guidelines for variant interpretation include criteria for incorporating phenotype evidence, but this evidence is inconsistently applied. Systematic approaches to using phenotype evidence are needed. We developed a method for curating disease phenotypes as highly or moderately predictive of variant pathogenicity based on the frequency of their association with disease‐causing variants. To evaluate this method's accuracy, we retrospectively reviewed variants with clinical classifications that had evolved from uncertain to definitive in genes associated with curated predictive phenotypes. To demonstrate the clinical validity and utility of this approach, we compared variant classifications determined with and without predictive phenotype evidence. The curation method was accurate for 93%–98% of eligible variants. Among variants interpreted using highly predictive phenotype evidence, the percentage classified as pathogenic or likely pathogenic was 80%, compared with 46%–54% had the evidence not been used. Positive results among individuals harboring variants with highly predictive phenotype‐guided interpretations would have been missed in 25%–37% of diagnostic tests and 39%–50% of carrier screens had other approaches to phenotype evidence been used. In summary, predictive phenotype evidence associated with specific curated genes can be systematically incorporated into variant interpretation to reduce uncertainty and increase the clinical utility of genetic testing. John Wiley & Sons, Inc. 2022-05-16 2022-09 /pmc/articles/PMC9544038/ /pubmed/35570716 http://dx.doi.org/10.1002/ajmg.a.62779 Text en © 2022 Invitae. American Journal of Medical Genetics Part A published by Wiley Periodicals LLC. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Original Articles
Johnson, Britt
Ouyang, Karen
Frank, Lauren
Truty, Rebecca
Rojahn, Susan
Morales, Ana
Aradhya, Swaroop
Nykamp, Keith
Systematic use of phenotype evidence in clinical genetic testing reduces the frequency of variants of uncertain significance
title Systematic use of phenotype evidence in clinical genetic testing reduces the frequency of variants of uncertain significance
title_full Systematic use of phenotype evidence in clinical genetic testing reduces the frequency of variants of uncertain significance
title_fullStr Systematic use of phenotype evidence in clinical genetic testing reduces the frequency of variants of uncertain significance
title_full_unstemmed Systematic use of phenotype evidence in clinical genetic testing reduces the frequency of variants of uncertain significance
title_short Systematic use of phenotype evidence in clinical genetic testing reduces the frequency of variants of uncertain significance
title_sort systematic use of phenotype evidence in clinical genetic testing reduces the frequency of variants of uncertain significance
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9544038/
https://www.ncbi.nlm.nih.gov/pubmed/35570716
http://dx.doi.org/10.1002/ajmg.a.62779
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