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Phenogenon: Gene to phenotype associations for rare genetic diseases
As high-throughput sequencing is increasingly applied to the molecular diagnosis of rare Mendelian disorders, a large number of patients with diverse phenotypes have their genetic and phenotypic data pooled together to uncover new gene-phenotype relations. We introduce Phenogenon, a statistical tool...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7144978/ https://www.ncbi.nlm.nih.gov/pubmed/32271766 http://dx.doi.org/10.1371/journal.pone.0230587 |
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author | Pontikos, Nikolas Murphy, Cian Moghul, Ismail Arno, Gavin Fujinami, Kaoru Fujinami, Yu Sumodhee, Dayyanah Downes, Susan Webster, Andrew Yu, Jing |
author_facet | Pontikos, Nikolas Murphy, Cian Moghul, Ismail Arno, Gavin Fujinami, Kaoru Fujinami, Yu Sumodhee, Dayyanah Downes, Susan Webster, Andrew Yu, Jing |
author_sort | Pontikos, Nikolas |
collection | PubMed |
description | As high-throughput sequencing is increasingly applied to the molecular diagnosis of rare Mendelian disorders, a large number of patients with diverse phenotypes have their genetic and phenotypic data pooled together to uncover new gene-phenotype relations. We introduce Phenogenon, a statistical tool that combines, Human Phenotype Ontology (HPO) annotated patient phenotypes, gnomAD allele population frequency, and Combined Annotation Dependent Depletion (CADD) score for variant pathogenicity, in order to jointly predict the mode of inheritance and gene-phenotype associations. We ran Phenogenon on our cohort of 3,290 patients who had undergone whole exome sequencing. Among the top associations, we recapitulated previously known, such as "SRD5A3—Abnormal full-field electroretinogram—recessive" and "GRHL2 –Nail dystrophy—recessive", and discovered one potentially novel, “RRAGA–Abnormality of the skin—dominant”. We also developed an interactive web interface available at https://phenogenon.phenopolis.org to visualise and explore the results. |
format | Online Article Text |
id | pubmed-7144978 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-71449782020-04-10 Phenogenon: Gene to phenotype associations for rare genetic diseases Pontikos, Nikolas Murphy, Cian Moghul, Ismail Arno, Gavin Fujinami, Kaoru Fujinami, Yu Sumodhee, Dayyanah Downes, Susan Webster, Andrew Yu, Jing PLoS One Research Article As high-throughput sequencing is increasingly applied to the molecular diagnosis of rare Mendelian disorders, a large number of patients with diverse phenotypes have their genetic and phenotypic data pooled together to uncover new gene-phenotype relations. We introduce Phenogenon, a statistical tool that combines, Human Phenotype Ontology (HPO) annotated patient phenotypes, gnomAD allele population frequency, and Combined Annotation Dependent Depletion (CADD) score for variant pathogenicity, in order to jointly predict the mode of inheritance and gene-phenotype associations. We ran Phenogenon on our cohort of 3,290 patients who had undergone whole exome sequencing. Among the top associations, we recapitulated previously known, such as "SRD5A3—Abnormal full-field electroretinogram—recessive" and "GRHL2 –Nail dystrophy—recessive", and discovered one potentially novel, “RRAGA–Abnormality of the skin—dominant”. We also developed an interactive web interface available at https://phenogenon.phenopolis.org to visualise and explore the results. Public Library of Science 2020-04-09 /pmc/articles/PMC7144978/ /pubmed/32271766 http://dx.doi.org/10.1371/journal.pone.0230587 Text en © 2020 Pontikos et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Pontikos, Nikolas Murphy, Cian Moghul, Ismail Arno, Gavin Fujinami, Kaoru Fujinami, Yu Sumodhee, Dayyanah Downes, Susan Webster, Andrew Yu, Jing Phenogenon: Gene to phenotype associations for rare genetic diseases |
title | Phenogenon: Gene to phenotype associations for rare genetic diseases |
title_full | Phenogenon: Gene to phenotype associations for rare genetic diseases |
title_fullStr | Phenogenon: Gene to phenotype associations for rare genetic diseases |
title_full_unstemmed | Phenogenon: Gene to phenotype associations for rare genetic diseases |
title_short | Phenogenon: Gene to phenotype associations for rare genetic diseases |
title_sort | phenogenon: gene to phenotype associations for rare genetic diseases |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7144978/ https://www.ncbi.nlm.nih.gov/pubmed/32271766 http://dx.doi.org/10.1371/journal.pone.0230587 |
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