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Advances in the Genetic Classification of ALS

PURPOSE OF REVIEW: Amyotrophic lateral sclerosis (ALS) is an archetypal complex disease where disease risk and severity are, for the majority of patients, the product of interaction between multiple genetic and environmental factors. We are in a period of unprecedented discovery with new large-scale...

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Autores principales: Cooper-Knock, Johnathan, Harvey, Calum, Zhang, Sai, Moll, Tobias, Timpanaro, Ilia Sarah, Kenna, Kevin P., Iacoangeli, Alfredo, Veldink, Jan H
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7612116/
https://www.ncbi.nlm.nih.gov/pubmed/34343141
http://dx.doi.org/10.1097/WCO.0000000000000986
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author Cooper-Knock, Johnathan
Harvey, Calum
Zhang, Sai
Moll, Tobias
Timpanaro, Ilia Sarah
Kenna, Kevin P.
Iacoangeli, Alfredo
Veldink, Jan H
author_facet Cooper-Knock, Johnathan
Harvey, Calum
Zhang, Sai
Moll, Tobias
Timpanaro, Ilia Sarah
Kenna, Kevin P.
Iacoangeli, Alfredo
Veldink, Jan H
author_sort Cooper-Knock, Johnathan
collection PubMed
description PURPOSE OF REVIEW: Amyotrophic lateral sclerosis (ALS) is an archetypal complex disease where disease risk and severity are, for the majority of patients, the product of interaction between multiple genetic and environmental factors. We are in a period of unprecedented discovery with new large-scale genome-wide association study (GWAS) and accelerating discovery of risk genes. However, much of the observed heritability of ALS is undiscovered and we are not yet approaching elucidation of the total genetic architecture which will be necessary for comprehensive disease subclassification. RECENT FINDINGS: We summarise recent developments and discuss the future. New machine learning models will help to address nonlinear genetic interactions. Statistical power for genetic discovery may be boosted by reducing the search-space using cell-specific epigenetic profiles and expanding our scope to include genetically correlated phenotypes. Structural variation, somatic heterogeneity and consideration of environmental modifiers represent significant challenges which will require integration of multiple technologies and a multidisciplinary approach including clinicians, geneticists and pathologists. SUMMARY: The move away from fully penetrant Mendelian risk genes necessitates new experimental designs and new standards for validation. The challenges are significant but the potential reward for successful disease subclassification is large-scale and effective personalized medicine.
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spelling pubmed-76121162021-12-17 Advances in the Genetic Classification of ALS Cooper-Knock, Johnathan Harvey, Calum Zhang, Sai Moll, Tobias Timpanaro, Ilia Sarah Kenna, Kevin P. Iacoangeli, Alfredo Veldink, Jan H Curr Opin Neurol Article PURPOSE OF REVIEW: Amyotrophic lateral sclerosis (ALS) is an archetypal complex disease where disease risk and severity are, for the majority of patients, the product of interaction between multiple genetic and environmental factors. We are in a period of unprecedented discovery with new large-scale genome-wide association study (GWAS) and accelerating discovery of risk genes. However, much of the observed heritability of ALS is undiscovered and we are not yet approaching elucidation of the total genetic architecture which will be necessary for comprehensive disease subclassification. RECENT FINDINGS: We summarise recent developments and discuss the future. New machine learning models will help to address nonlinear genetic interactions. Statistical power for genetic discovery may be boosted by reducing the search-space using cell-specific epigenetic profiles and expanding our scope to include genetically correlated phenotypes. Structural variation, somatic heterogeneity and consideration of environmental modifiers represent significant challenges which will require integration of multiple technologies and a multidisciplinary approach including clinicians, geneticists and pathologists. SUMMARY: The move away from fully penetrant Mendelian risk genes necessitates new experimental designs and new standards for validation. The challenges are significant but the potential reward for successful disease subclassification is large-scale and effective personalized medicine. 2021-10-01 /pmc/articles/PMC7612116/ /pubmed/34343141 http://dx.doi.org/10.1097/WCO.0000000000000986 Text en https://creativecommons.org/licenses/by/4.0/This work is licensed under a CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/) International license.
spellingShingle Article
Cooper-Knock, Johnathan
Harvey, Calum
Zhang, Sai
Moll, Tobias
Timpanaro, Ilia Sarah
Kenna, Kevin P.
Iacoangeli, Alfredo
Veldink, Jan H
Advances in the Genetic Classification of ALS
title Advances in the Genetic Classification of ALS
title_full Advances in the Genetic Classification of ALS
title_fullStr Advances in the Genetic Classification of ALS
title_full_unstemmed Advances in the Genetic Classification of ALS
title_short Advances in the Genetic Classification of ALS
title_sort advances in the genetic classification of als
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7612116/
https://www.ncbi.nlm.nih.gov/pubmed/34343141
http://dx.doi.org/10.1097/WCO.0000000000000986
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