Cargando…
Challenges in Clinicogenetic Correlations: One Gene – Many Phenotypes
BACKGROUND: Progress in genetics – particularly the advent of next‐generation sequencing (NGS) – has enabled an unparalleled gene discovery and revealed unmatched complexity of genotype–phenotype correlations in movement disorders. Among other things, it has emerged that mutations in one and the sam...
Autores principales: | , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley & Sons, Inc.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8015894/ https://www.ncbi.nlm.nih.gov/pubmed/33816657 http://dx.doi.org/10.1002/mdc3.13165 |
_version_ | 1783673765198036992 |
---|---|
author | Magrinelli, Francesca Balint, Bettina Bhatia, Kailash P. |
author_facet | Magrinelli, Francesca Balint, Bettina Bhatia, Kailash P. |
author_sort | Magrinelli, Francesca |
collection | PubMed |
description | BACKGROUND: Progress in genetics – particularly the advent of next‐generation sequencing (NGS) – has enabled an unparalleled gene discovery and revealed unmatched complexity of genotype–phenotype correlations in movement disorders. Among other things, it has emerged that mutations in one and the same gene can cause multiple, often markedly different phenotypes. Consequently, movement disorder specialists have increasingly experienced challenges in clinicogenetic correlations. OBJECTIVES: To deconstruct biological phenomena and mechanistic bases of phenotypic heterogeneity in monogenic movement disorders and neurodegenerative diseases. To discuss the evolving role of movement disorder specialists in reshaping disease phenotypes in the NGS era. METHODS: This scoping review details phenomena contributing to phenotypic heterogeneity and their underlying mechanisms. RESULTS: Three phenomena contribute to phenotypic heterogeneity, namely incomplete penetrance, variable expressivity and pleiotropy. Their underlying mechanisms, which are often shared across phenomena and non‐mutually exclusive, are not fully elucidated. They involve genetic factors (ie, different mutation types, dynamic mutations, somatic mosaicism, intragenic intra‐ and inter‐allelic interactions, modifiers and epistatic genes, mitochondrial heteroplasmy), epigenetic factors (ie, genomic imprinting, X‐chromosome inactivation, modulation of genetic and chromosomal defects), and environmental factors. CONCLUSION: Movement disorders is unique in its reliance on clinical judgment to accurately define disease phenotypes. This has been reaffirmed by the NGS revolution, which provides ever‐growing sequencing data and fuels challenges in variant pathogenicity assertions for such clinically heterogeneous disorders. Deep phenotyping, with characterization and continual updating of “core” phenotypes, and comprehension of determinants of genotype–phenotype complex relationships are crucial for clinicogenetic correlations and have implications for the diagnosis, treatment and counseling. |
format | Online Article Text |
id | pubmed-8015894 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | John Wiley & Sons, Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-80158942021-04-02 Challenges in Clinicogenetic Correlations: One Gene – Many Phenotypes Magrinelli, Francesca Balint, Bettina Bhatia, Kailash P. Mov Disord Clin Pract Reviews BACKGROUND: Progress in genetics – particularly the advent of next‐generation sequencing (NGS) – has enabled an unparalleled gene discovery and revealed unmatched complexity of genotype–phenotype correlations in movement disorders. Among other things, it has emerged that mutations in one and the same gene can cause multiple, often markedly different phenotypes. Consequently, movement disorder specialists have increasingly experienced challenges in clinicogenetic correlations. OBJECTIVES: To deconstruct biological phenomena and mechanistic bases of phenotypic heterogeneity in monogenic movement disorders and neurodegenerative diseases. To discuss the evolving role of movement disorder specialists in reshaping disease phenotypes in the NGS era. METHODS: This scoping review details phenomena contributing to phenotypic heterogeneity and their underlying mechanisms. RESULTS: Three phenomena contribute to phenotypic heterogeneity, namely incomplete penetrance, variable expressivity and pleiotropy. Their underlying mechanisms, which are often shared across phenomena and non‐mutually exclusive, are not fully elucidated. They involve genetic factors (ie, different mutation types, dynamic mutations, somatic mosaicism, intragenic intra‐ and inter‐allelic interactions, modifiers and epistatic genes, mitochondrial heteroplasmy), epigenetic factors (ie, genomic imprinting, X‐chromosome inactivation, modulation of genetic and chromosomal defects), and environmental factors. CONCLUSION: Movement disorders is unique in its reliance on clinical judgment to accurately define disease phenotypes. This has been reaffirmed by the NGS revolution, which provides ever‐growing sequencing data and fuels challenges in variant pathogenicity assertions for such clinically heterogeneous disorders. Deep phenotyping, with characterization and continual updating of “core” phenotypes, and comprehension of determinants of genotype–phenotype complex relationships are crucial for clinicogenetic correlations and have implications for the diagnosis, treatment and counseling. John Wiley & Sons, Inc. 2021-03-02 /pmc/articles/PMC8015894/ /pubmed/33816657 http://dx.doi.org/10.1002/mdc3.13165 Text en © 2021 The Authors. Movement Disorders Clinical Practice published by Wiley Periodicals LLC. on behalf of International Parkinson and Movement Disorder Society. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Reviews Magrinelli, Francesca Balint, Bettina Bhatia, Kailash P. Challenges in Clinicogenetic Correlations: One Gene – Many Phenotypes |
title | Challenges in Clinicogenetic Correlations: One Gene – Many Phenotypes |
title_full | Challenges in Clinicogenetic Correlations: One Gene – Many Phenotypes |
title_fullStr | Challenges in Clinicogenetic Correlations: One Gene – Many Phenotypes |
title_full_unstemmed | Challenges in Clinicogenetic Correlations: One Gene – Many Phenotypes |
title_short | Challenges in Clinicogenetic Correlations: One Gene – Many Phenotypes |
title_sort | challenges in clinicogenetic correlations: one gene – many phenotypes |
topic | Reviews |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8015894/ https://www.ncbi.nlm.nih.gov/pubmed/33816657 http://dx.doi.org/10.1002/mdc3.13165 |
work_keys_str_mv | AT magrinellifrancesca challengesinclinicogeneticcorrelationsonegenemanyphenotypes AT balintbettina challengesinclinicogeneticcorrelationsonegenemanyphenotypes AT bhatiakailashp challengesinclinicogeneticcorrelationsonegenemanyphenotypes |