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Precision Medicine Diagnostics for Rare Kidney Disease: Twitter as a Tool in Clinical Genomic Translation

New technologies such as genomics present opportunities to deliver precision medicine, including in the diagnosis of rare kidney disorders. Simultaneously, social media platforms such as Twitter can provide rapid and wide-reaching information dissemination in health care and science. We present 2 ca...

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Autores principales: Mallett, Andrew J., Quinlan, Catherine, Patel, Chirag, Fowles, Lindsay, Crawford, Joanna, Gattas, Michael, Baer, Richard, Bennetts, Bruce, Ho, Gladys, Holman, Katherine, Simons, Cas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7380393/
https://www.ncbi.nlm.nih.gov/pubmed/32734212
http://dx.doi.org/10.1016/j.xkme.2019.06.006
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author Mallett, Andrew J.
Quinlan, Catherine
Patel, Chirag
Fowles, Lindsay
Crawford, Joanna
Gattas, Michael
Baer, Richard
Bennetts, Bruce
Ho, Gladys
Holman, Katherine
Simons, Cas
author_facet Mallett, Andrew J.
Quinlan, Catherine
Patel, Chirag
Fowles, Lindsay
Crawford, Joanna
Gattas, Michael
Baer, Richard
Bennetts, Bruce
Ho, Gladys
Holman, Katherine
Simons, Cas
author_sort Mallett, Andrew J.
collection PubMed
description New technologies such as genomics present opportunities to deliver precision medicine, including in the diagnosis of rare kidney disorders. Simultaneously, social media platforms such as Twitter can provide rapid and wide-reaching information dissemination in health care and science. We present 2 cases in which the reporting of a novel genetic cause for human kidney disease was communicated through Twitter and then subsequently noted by treating clinicians, thereby resulting in rapid clinical diagnostic translation. In 1 family, this involved the reporting of heterozygous variants in GREB1L relating to autosomal dominant unilateral or bilateral renal agenesis, and in the other family, this involved biallelic variants in CLDN10 relating to autosomal recessive hypokalemic renal tubular phenotypes. The times from Twitter notification to clinical diagnostic genetic report for these families were 111 and 200 days, respectively. Although caution is required, these cases show that social media platforms can contribute to rapid and accessible academic communication that may benefit clinicians, genomics-based researchers, and patients and families affected by rare kidney diseases.
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spelling pubmed-73803932020-07-29 Precision Medicine Diagnostics for Rare Kidney Disease: Twitter as a Tool in Clinical Genomic Translation Mallett, Andrew J. Quinlan, Catherine Patel, Chirag Fowles, Lindsay Crawford, Joanna Gattas, Michael Baer, Richard Bennetts, Bruce Ho, Gladys Holman, Katherine Simons, Cas Kidney Med Case Report New technologies such as genomics present opportunities to deliver precision medicine, including in the diagnosis of rare kidney disorders. Simultaneously, social media platforms such as Twitter can provide rapid and wide-reaching information dissemination in health care and science. We present 2 cases in which the reporting of a novel genetic cause for human kidney disease was communicated through Twitter and then subsequently noted by treating clinicians, thereby resulting in rapid clinical diagnostic translation. In 1 family, this involved the reporting of heterozygous variants in GREB1L relating to autosomal dominant unilateral or bilateral renal agenesis, and in the other family, this involved biallelic variants in CLDN10 relating to autosomal recessive hypokalemic renal tubular phenotypes. The times from Twitter notification to clinical diagnostic genetic report for these families were 111 and 200 days, respectively. Although caution is required, these cases show that social media platforms can contribute to rapid and accessible academic communication that may benefit clinicians, genomics-based researchers, and patients and families affected by rare kidney diseases. Elsevier 2019-08-14 /pmc/articles/PMC7380393/ /pubmed/32734212 http://dx.doi.org/10.1016/j.xkme.2019.06.006 Text en © 2019 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Case Report
Mallett, Andrew J.
Quinlan, Catherine
Patel, Chirag
Fowles, Lindsay
Crawford, Joanna
Gattas, Michael
Baer, Richard
Bennetts, Bruce
Ho, Gladys
Holman, Katherine
Simons, Cas
Precision Medicine Diagnostics for Rare Kidney Disease: Twitter as a Tool in Clinical Genomic Translation
title Precision Medicine Diagnostics for Rare Kidney Disease: Twitter as a Tool in Clinical Genomic Translation
title_full Precision Medicine Diagnostics for Rare Kidney Disease: Twitter as a Tool in Clinical Genomic Translation
title_fullStr Precision Medicine Diagnostics for Rare Kidney Disease: Twitter as a Tool in Clinical Genomic Translation
title_full_unstemmed Precision Medicine Diagnostics for Rare Kidney Disease: Twitter as a Tool in Clinical Genomic Translation
title_short Precision Medicine Diagnostics for Rare Kidney Disease: Twitter as a Tool in Clinical Genomic Translation
title_sort precision medicine diagnostics for rare kidney disease: twitter as a tool in clinical genomic translation
topic Case Report
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7380393/
https://www.ncbi.nlm.nih.gov/pubmed/32734212
http://dx.doi.org/10.1016/j.xkme.2019.06.006
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