Genetic variability in sporadic amyotrophic lateral sclerosis

Abstract With the advent of gene therapies for amyotrophic lateral sclerosis (ALS), there is a surge in gene testing for this disease. Although there is ample experience with gene testing for C9orf72, SOD1, FUS and TARDBP in familial ALS, large studies exploring genetic variation in all ALS-associat...

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Published inBrain (London, England : 1878) Vol. 146; no. 9; pp. 3760 - 3769
Main Authors Van Daele, Sien Hilde, Moisse, Matthieu, van Vugt, Joke J F A, Zwamborn, Ramona A J, van der Spek, Rick, van Rheenen, Wouter, Van Eijk, Kristel, Kenna, Kevin, Corcia, Philippe, Vourc'h, Patrick, Couratier, Philippe, Hardiman, Orla, McLaughin, Russell, Gotkine, Marc, Drory, Vivian, Ticozzi, Nicola, Silani, Vincenzo, Ratti, Antonia, de Carvalho, Mamede, Mora Pardina, Jesús S, Povedano, Monica, Andersen, Peter M, Weber, Markus, Başak, Nazli A, Shaw, Chris, Shaw, Pamela J, Morrison, Karen E, Landers, John E, Glass, Jonathan D, van Es, Michael A, van den Berg, Leonard H, Al-Chalabi, Ammar, Veldink, Jan, Van Damme, Philip
Format Journal Article
LanguageEnglish
Published US Oxford University Press 01.09.2023
Subjects
Online AccessGet full text
ISSN0006-8950
1460-2156
1460-2156
DOI10.1093/brain/awad120

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Abstract Abstract With the advent of gene therapies for amyotrophic lateral sclerosis (ALS), there is a surge in gene testing for this disease. Although there is ample experience with gene testing for C9orf72, SOD1, FUS and TARDBP in familial ALS, large studies exploring genetic variation in all ALS-associated genes in sporadic ALS (sALS) are still scarce. Gene testing in a diagnostic setting is challenging, given the complex genetic architecture of sALS, for which there are genetic variants with large and small effect sizes. Guidelines for the interpretation of genetic variants in gene panels and for counselling of patients are lacking. We aimed to provide a thorough characterization of genetic variability in ALS genes by applying the American College of Medical Genetics and Genomics (ACMG) criteria on whole genome sequencing data from a large cohort of 6013 sporadic ALS patients and 2411 matched controls from Project MinE. We studied genetic variation in 90 ALS-associated genes and applied customized ACMG-criteria to identify pathogenic and likely pathogenic variants. Variants of unknown significance were collected as well. In addition, we determined the length of repeat expansions in C9orf72, ATXN1, ATXN2 and NIPA1 using the ExpansionHunter tool. We found C9orf72 repeat expansions in 5.21% of sALS patients. In 50 ALS-associated genes, we did not identify any pathogenic or likely pathogenic variants. In 5.89%, a pathogenic or likely pathogenic variant was found, most commonly in SOD1, TARDBP, FUS, NEK1, OPTN or TBK1. Significantly more cases carried at least one pathogenic or likely pathogenic variant compared to controls (odds ratio 1.75; P-value 1.64 × 10−5). Isolated risk factors in ATXN1, ATXN2, NIPA1 and/or UNC13A were detected in 17.33% of cases. In 71.83%, we did not find any genetic clues. A combination of variants was found in 2.88%. This study provides an inventory of pathogenic and likely pathogenic genetic variation in a large cohort of sALS patients. Overall, we identified pathogenic and likely pathogenic variants in 11.13% of ALS patients in 38 known ALS genes. In line with the oligogenic hypothesis, we found significantly more combinations of variants in cases compared to controls. Many variants of unknown significance may contribute to ALS risk, but diagnostic algorithms to reliably identify and weigh them are lacking. This work can serve as a resource for counselling and for the assembly of gene panels for ALS. Further characterization of the genetic architecture of sALS is necessary given the growing interest in gene testing in ALS. The development of gene therapies for amyotrophic lateral sclerosis (ALS) has led to increased interest in genetic testing, including for patients with the sporadic form of the disease. Van Daele et al. characterize variability in ALS-associated genes, and search for likely pathogenic variants, in more than 6000 patients with sporadic ALS.
AbstractList © The Author(s) 2023. Published by Oxford University Press on behalf of the Guarantors of Brain. This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com With the advent of gene therapies for amyotrophic lateral sclerosis (ALS), there is a surge in gene testing for this disease. Although there is ample experience with gene testing for C9orf72, SOD1, FUS and TARDBP in familial ALS, large studies exploring genetic variation in all ALS-associated genes in sporadic ALS (sALS) are still scarce. Gene testing in a diagnostic setting is challenging, given the complex genetic architecture of sALS, for which there are genetic variants with large and small effect sizes. Guidelines for the interpretation of genetic variants in gene panels and for counselling of patients are lacking. We aimed to provide a thorough characterization of genetic variability in ALS genes by applying the American College of Medical Genetics and Genomics (ACMG) criteria on whole genome sequencing data from a large cohort of 6013 sporadic ALS patients and 2411 matched controls from Project MinE. We studied genetic variation in 90 ALS-associated genes and applied customized ACMG-criteria to identify pathogenic and likely pathogenic variants. Variants of unknown significance were collected as well. In addition, we determined the length of repeat expansions in C9orf72, ATXN1, ATXN2 and NIPA1 using the ExpansionHunter tool. We found C9orf72 repeat expansions in 5.21% of sALS patients. In 50 ALS-associated genes, we did not identify any pathogenic or likely pathogenic variants. In 5.89%, a pathogenic or likely pathogenic variant was found, most commonly in SOD1, TARDBP, FUS, NEK1, OPTN or TBK1. Significantly more cases carried at least one pathogenic or likely pathogenic variant compared to controls (odds ratio 1.75; P-value 1.64 × 10-5). Isolated risk factors in ATXN1, ATXN2, NIPA1 and/or UNC13A were detected in 17.33% of cases. In 71.83%, we did not find any genetic clues. A combination of variants was found in 2.88%. This study provides an inventory of pathogenic and likely pathogenic genetic variation in a large cohort of sALS patients. Overall, we identified pathogenic and likely pathogenic variants in 11.13% of ALS patients in 38 known ALS genes. In line with the oligogenic hypothesis, we found significantly more combinations of variants in cases compared to controls. Many variants of unknown significance may contribute to ALS risk, but diagnostic algorithms to reliably identify and weigh them are lacking. This work can serve as a resource for counselling and for the assembly of gene panels for ALS. Further characterization of the genetic architecture of sALS is necessary given the growing interest in gene testing in ALS. This work was supported by grants from the KU Leuven (C1—C14-17-107), FWO-Vlaanderen (G0B2819N), the IWT (Project MinE), the Belgian National Lottery and the ALS Liga België. S.H.V.D. is funded by a PhD fellowship of the Research Foundation—Flanders (FWO) (1164018N, file number 40900). Research is furthermore funded by the Fund for Clinical Academic studies of the university hospitals of Leuven, Belgium (S61184). This project has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement no 772376—EScORIAL)
With the advent of gene therapies for amyotrophic lateral sclerosis (ALS), there is a surge in gene testing for this disease. Although there is ample experience with gene testing for C9orf72, SOD1, FUS and TARDBP in familial ALS, large studies exploring genetic variation in all ALS-associated genes in sporadic ALS (sALS) are still scarce. Gene testing in a diagnostic setting is challenging, given the complex genetic architecture of sALS, for which there are genetic variants with large and small effect sizes. Guidelines for the interpretation of genetic variants in gene panels and for counselling of patients are lacking. We aimed to provide a thorough characterization of genetic variability in ALS genes by applying the American College of Medical Genetics and Genomics (ACMG) criteria on whole genome sequencing data from a large cohort of 6013 sporadic ALS patients and 2411 matched controls from Project MinE. We studied genetic variation in 90 ALS-associated genes and applied customized ACMG-criteria to identify pathogenic and likely pathogenic variants. Variants of unknown significance were collected as well. In addition, we determined the length of repeat expansions in C9orf72, ATXN1, ATXN2 and NIPA1 using the ExpansionHunter tool. We found C9orf72 repeat expansions in 5.21% of sALS patients. In 50 ALS-associated genes, we did not identify any pathogenic or likely pathogenic variants. In 5.89%, a pathogenic or likely pathogenic variant was found, most commonly in SOD1, TARDBP, FUS, NEK1, OPTN or TBK1. Significantly more cases carried at least one pathogenic or likely pathogenic variant compared to controls (odds ratio 1.75; P-value 1.64 × 10-5). Isolated risk factors in ATXN1, ATXN2, NIPA1 and/or UNC13A were detected in 17.33% of cases. In 71.83%, we did not find any genetic clues. A combination of variants was found in 2.88%. This study provides an inventory of pathogenic and likely pathogenic genetic variation in a large cohort of sALS patients. Overall, we identified pathogenic and likely pathogenic variants in 11.13% of ALS patients in 38 known ALS genes. In line with the oligogenic hypothesis, we found significantly more combinations of variants in cases compared to controls. Many variants of unknown significance may contribute to ALS risk, but diagnostic algorithms to reliably identify and weigh them are lacking. This work can serve as a resource for counselling and for the assembly of gene panels for ALS. Further characterization of the genetic architecture of sALS is necessary given the growing interest in gene testing in ALS.
With the advent of gene therapies for amyotrophic lateral sclerosis (ALS), there is a surge in gene testing for this disease. Although there is ample experience with gene testing for C9orf72, SOD1, FUS and TARDBP in familial ALS, large studies exploring genetic variation in all ALS-associated genes in sporadic ALS (sALS) are still scarce. Gene testing in a diagnostic setting is challenging, given the complex genetic architecture of sALS, for which there are genetic variants with large and small effect sizes. Guidelines for the interpretation of genetic variants in gene panels and for counselling of patients are lacking. We aimed to provide a thorough characterization of genetic variability in ALS genes by applying the American College of Medical Genetics and Genomics (ACMG) criteria on whole genome sequencing data from a large cohort of 6013 sporadic ALS patients and 2411 matched controls from Project MinE. We studied genetic variation in 90 ALS-associated genes and applied customized ACMG-criteria to identify pathogenic and likely pathogenic variants. Variants of unknown significance were collected as well. In addition, we determined the length of repeat expansions in C9orf72, ATXN1, ATXN2 and NIPA1 using the ExpansionHunter tool. We found C9orf72 repeat expansions in 5.21% of sALS patients. In 50 ALS-associated genes, we did not identify any pathogenic or likely pathogenic variants. In 5.89%, a pathogenic or likely pathogenic variant was found, most commonly in SOD1, TARDBP, FUS, NEK1, OPTN or TBK1. Significantly more cases carried at least one pathogenic or likely pathogenic variant compared to controls (odds ratio 1.75; P-value 1.64 × 10−5). Isolated risk factors in ATXN1, ATXN2, NIPA1 and/or UNC13A were detected in 17.33% of cases. In 71.83%, we did not find any genetic clues. A combination of variants was found in 2.88%. This study provides an inventory of pathogenic and likely pathogenic genetic variation in a large cohort of sALS patients. Overall, we identified pathogenic and likely pathogenic variants in 11.13% of ALS patients in 38 known ALS genes. In line with the oligogenic hypothesis, we found significantly more combinations of variants in cases compared to controls. Many variants of unknown significance may contribute to ALS risk, but diagnostic algorithms to reliably identify and weigh them are lacking. This work can serve as a resource for counselling and for the assembly of gene panels for ALS. Further characterization of the genetic architecture of sALS is necessary given the growing interest in gene testing in ALS.
With the advent of gene therapies for amyotrophic lateral sclerosis (ALS), there is a surge in gene testing for this disease. Although there is ample experience with gene testing for C9orf72 , SOD1 , FUS and TARDBP in familial ALS, large studies exploring genetic variation in all ALS-associated genes in sporadic ALS (sALS) are still scarce. Gene testing in a diagnostic setting is challenging, given the complex genetic architecture of sALS, for which there are genetic variants with large and small effect sizes. Guidelines for the interpretation of genetic variants in gene panels and for counselling of patients are lacking. We aimed to provide a thorough characterization of genetic variability in ALS genes by applying the American College of Medical Genetics and Genomics (ACMG) criteria on whole genome sequencing data from a large cohort of 6013 sporadic ALS patients and 2411 matched controls from Project MinE. We studied genetic variation in 90 ALS-associated genes and applied customized ACMG-criteria to identify pathogenic and likely pathogenic variants. Variants of unknown significance were collected as well. In addition, we determined the length of repeat expansions in C9orf72 , ATXN1 , ATXN2 and NIPA1 using the ExpansionHunter tool. We found C9orf72 repeat expansions in 5.21% of sALS patients. In 50 ALS-associated genes, we did not identify any pathogenic or likely pathogenic variants. In 5.89%, a pathogenic or likely pathogenic variant was found, most commonly in SOD1 , TARDBP , FUS , NEK1 , OPTN or TBK1. Significantly more cases carried at least one pathogenic or likely pathogenic variant compared to controls (odds ratio 1.75; P -value 1.64 × 10 −5 ). Isolated risk factors in ATXN1 , ATXN2 , NIPA1 and/or UNC13A were detected in 17.33% of cases. In 71.83%, we did not find any genetic clues. A combination of variants was found in 2.88%. This study provides an inventory of pathogenic and likely pathogenic genetic variation in a large cohort of sALS patients. Overall, we identified pathogenic and likely pathogenic variants in 11.13% of ALS patients in 38 known ALS genes. In line with the oligogenic hypothesis, we found significantly more combinations of variants in cases compared to controls. Many variants of unknown significance may contribute to ALS risk, but diagnostic algorithms to reliably identify and weigh them are lacking. This work can serve as a resource for counselling and for the assembly of gene panels for ALS. Further characterization of the genetic architecture of sALS is necessary given the growing interest in gene testing in ALS. The development of gene therapies for amyotrophic lateral sclerosis (ALS) has led to increased interest in genetic testing, including for patients with the sporadic form of the disease. Van Daele et al . characterize variability in ALS-associated genes, and search for likely pathogenic variants, in more than 6000 patients with sporadic ALS.
Abstract With the advent of gene therapies for amyotrophic lateral sclerosis (ALS), there is a surge in gene testing for this disease. Although there is ample experience with gene testing for C9orf72, SOD1, FUS and TARDBP in familial ALS, large studies exploring genetic variation in all ALS-associated genes in sporadic ALS (sALS) are still scarce. Gene testing in a diagnostic setting is challenging, given the complex genetic architecture of sALS, for which there are genetic variants with large and small effect sizes. Guidelines for the interpretation of genetic variants in gene panels and for counselling of patients are lacking. We aimed to provide a thorough characterization of genetic variability in ALS genes by applying the American College of Medical Genetics and Genomics (ACMG) criteria on whole genome sequencing data from a large cohort of 6013 sporadic ALS patients and 2411 matched controls from Project MinE. We studied genetic variation in 90 ALS-associated genes and applied customized ACMG-criteria to identify pathogenic and likely pathogenic variants. Variants of unknown significance were collected as well. In addition, we determined the length of repeat expansions in C9orf72, ATXN1, ATXN2 and NIPA1 using the ExpansionHunter tool. We found C9orf72 repeat expansions in 5.21% of sALS patients. In 50 ALS-associated genes, we did not identify any pathogenic or likely pathogenic variants. In 5.89%, a pathogenic or likely pathogenic variant was found, most commonly in SOD1, TARDBP, FUS, NEK1, OPTN or TBK1. Significantly more cases carried at least one pathogenic or likely pathogenic variant compared to controls (odds ratio 1.75; P-value 1.64 × 10−5). Isolated risk factors in ATXN1, ATXN2, NIPA1 and/or UNC13A were detected in 17.33% of cases. In 71.83%, we did not find any genetic clues. A combination of variants was found in 2.88%. This study provides an inventory of pathogenic and likely pathogenic genetic variation in a large cohort of sALS patients. Overall, we identified pathogenic and likely pathogenic variants in 11.13% of ALS patients in 38 known ALS genes. In line with the oligogenic hypothesis, we found significantly more combinations of variants in cases compared to controls. Many variants of unknown significance may contribute to ALS risk, but diagnostic algorithms to reliably identify and weigh them are lacking. This work can serve as a resource for counselling and for the assembly of gene panels for ALS. Further characterization of the genetic architecture of sALS is necessary given the growing interest in gene testing in ALS. The development of gene therapies for amyotrophic lateral sclerosis (ALS) has led to increased interest in genetic testing, including for patients with the sporadic form of the disease. Van Daele et al. characterize variability in ALS-associated genes, and search for likely pathogenic variants, in more than 6000 patients with sporadic ALS.
With the advent of gene therapies for amyotrophic lateral sclerosis, there is a surge in gene testing for ALS. Although there is ample experience with gene testing for C9orf72, SOD1, FUS and TARDBP in familial ALS, large studies exploring genetic variation in all ALS-associated genes in sporadic ALS (sALS) are still scarce. Gene testing in a diagnostic setting is challenging given the complex genetic architecture of sALS with genetic variants with large and small effect sizes. Guidelines for interpretation of genetic variants in gene panels and for counselling of patients are lacking. We aimed to provide a thorough characterization of genetic variability in ALS genes by applying the ACMG criteria on whole genome sequencing data from a large cohort of 6013 sporadic ALS patients and 2411 matched controls from Project MinE. We studied genetic variation in 90 ALS-associated genes and applied customized ACMG-criteria to identify pathogenic and likely pathogenic variants. Variants of unknown significance were collected as well. In addition, we determined the length of repeat expansions in C9orf72, ATXN1, ATXN2 and NIPA1 using the ExpansionHunter tool. We found C9orf72 repeat expansions in 5.21% of sALS patients. In 50 ALS-associated genes, we did not identify any pathogenic or likely pathogenic variants. In 5.89%, a pathogenic or likely pathogenic variant was found, most commonly in SOD1, TARDBP, FUS, NEK1, OPTN or TBK1. Significantly more cases carried at least one pathogenic or likely pathogenic variant compared to controls (OR 1.75; p-value 1.64 × 10-5). Isolated risk factors in ATXN1, ATXN2, NIPA1 and/or UNC13A were detected in 17.33% of cases. In 71.83%, we did not find any genetic clues. A combination of variants was found in 2.88%. This study provides an inventory of pathogenic and likely pathogenic genetic variation in a large cohort of sALS. Overall, we identified pathogenic and likely pathogenic variants in 11.13% of ALS patients in 38 known ALS genes. In line with the oligogenic hypothesis, we found significantly more combinations of variants in cases compared to controls. Many variants of unknown significance may contribute to ALS risk, but diagnostic algorithms to reliably identify and weigh them are lacking. This work can serve as a resource for counselling and for the assembly of gene panels for ALS. Further characterization of the genetic architecture of sALS is necessary given the growing interest in gene testing in ALS.
With the advent of gene therapies for amyotrophic lateral sclerosis (ALS), there is a surge in gene testing for this disease. Although there is ample experience with gene testing for C9orf72, SOD1, FUS and TARDBP in familial ALS, large studies exploring genetic variation in all ALS-associated genes in sporadic ALS (sALS) are still scarce. Gene testing in a diagnostic setting is challenging, given the complex genetic architecture of sALS, for which there are genetic variants with large and small effect sizes. Guidelines for the interpretation of genetic variants in gene panels and for counselling of patients are lacking. We aimed to provide a thorough characterization of genetic variability in ALS genes by applying the American College of Medical Genetics and Genomics (ACMG) criteria on whole genome sequencing data from a large cohort of 6013 sporadic ALS patients and 2411 matched controls from Project MinE. We studied genetic variation in 90 ALS-associated genes and applied customized ACMG-criteria to identify pathogenic and likely pathogenic variants. Variants of unknown significance were collected as well. In addition, we determined the length of repeat expansions in C9orf72, ATXN1, ATXN2 and NIPA1 using the ExpansionHunter tool. We found C9orf72 repeat expansions in 5.21% of sALS patients. In 50 ALS-associated genes, we did not identify any pathogenic or likely pathogenic variants. In 5.89%, a pathogenic or likely pathogenic variant was found, most commonly in SOD1, TARDBP, FUS, NEK1, OPTN or TBK1. Significantly more cases carried at least one pathogenic or likely pathogenic variant compared to controls (odds ratio 1.75; P-value 1.64 × 10-5). Isolated risk factors in ATXN1, ATXN2, NIPA1 and/or UNC13A were detected in 17.33% of cases. In 71.83%, we did not find any genetic clues. A combination of variants was found in 2.88%. This study provides an inventory of pathogenic and likely pathogenic genetic variation in a large cohort of sALS patients. Overall, we identified pathogenic and likely pathogenic variants in 11.13% of ALS patients in 38 known ALS genes. In line with the oligogenic hypothesis, we found significantly more combinations of variants in cases compared to controls. Many variants of unknown significance may contribute to ALS risk, but diagnostic algorithms to reliably identify and weigh them are lacking. This work can serve as a resource for counselling and for the assembly of gene panels for ALS. Further characterization of the genetic architecture of sALS is necessary given the growing interest in gene testing in ALS.With the advent of gene therapies for amyotrophic lateral sclerosis (ALS), there is a surge in gene testing for this disease. Although there is ample experience with gene testing for C9orf72, SOD1, FUS and TARDBP in familial ALS, large studies exploring genetic variation in all ALS-associated genes in sporadic ALS (sALS) are still scarce. Gene testing in a diagnostic setting is challenging, given the complex genetic architecture of sALS, for which there are genetic variants with large and small effect sizes. Guidelines for the interpretation of genetic variants in gene panels and for counselling of patients are lacking. We aimed to provide a thorough characterization of genetic variability in ALS genes by applying the American College of Medical Genetics and Genomics (ACMG) criteria on whole genome sequencing data from a large cohort of 6013 sporadic ALS patients and 2411 matched controls from Project MinE. We studied genetic variation in 90 ALS-associated genes and applied customized ACMG-criteria to identify pathogenic and likely pathogenic variants. Variants of unknown significance were collected as well. In addition, we determined the length of repeat expansions in C9orf72, ATXN1, ATXN2 and NIPA1 using the ExpansionHunter tool. We found C9orf72 repeat expansions in 5.21% of sALS patients. In 50 ALS-associated genes, we did not identify any pathogenic or likely pathogenic variants. In 5.89%, a pathogenic or likely pathogenic variant was found, most commonly in SOD1, TARDBP, FUS, NEK1, OPTN or TBK1. Significantly more cases carried at least one pathogenic or likely pathogenic variant compared to controls (odds ratio 1.75; P-value 1.64 × 10-5). Isolated risk factors in ATXN1, ATXN2, NIPA1 and/or UNC13A were detected in 17.33% of cases. In 71.83%, we did not find any genetic clues. A combination of variants was found in 2.88%. This study provides an inventory of pathogenic and likely pathogenic genetic variation in a large cohort of sALS patients. Overall, we identified pathogenic and likely pathogenic variants in 11.13% of ALS patients in 38 known ALS genes. In line with the oligogenic hypothesis, we found significantly more combinations of variants in cases compared to controls. Many variants of unknown significance may contribute to ALS risk, but diagnostic algorithms to reliably identify and weigh them are lacking. This work can serve as a resource for counselling and for the assembly of gene panels for ALS. Further characterization of the genetic architecture of sALS is necessary given the growing interest in gene testing in ALS.
Author van Rheenen, Wouter
Morrison, Karen E
Van Damme, Philip
Van Daele, Sien Hilde
Corcia, Philippe
Povedano, Monica
Ratti, Antonia
McLaughin, Russell
van Es, Michael A
Al-Chalabi, Ammar
Glass, Jonathan D
Gotkine, Marc
Vourc'h, Patrick
Andersen, Peter M
van den Berg, Leonard H
Başak, Nazli A
Shaw, Chris
Van Eijk, Kristel
Veldink, Jan
Moisse, Matthieu
van Vugt, Joke J F A
Mora Pardina, Jesús S
Couratier, Philippe
Landers, John E
Weber, Markus
Zwamborn, Ramona A J
Kenna, Kevin
Shaw, Pamela J
van der Spek, Rick
Drory, Vivian
Ticozzi, Nicola
Silani, Vincenzo
de Carvalho, Mamede
Hardiman, Orla
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BackLink https://www.ncbi.nlm.nih.gov/pubmed/37043475$$D View this record in MEDLINE/PubMed
https://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-214248$$DView record from Swedish Publication Index
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Cites_doi 10.1038/nrdp.2017.85
10.3109/17482968.2010.545420
10.1016/j.neurobiolaging.2013.06.009
10.1038/nrn1971
10.1371/journal.pgen.1004704
10.1093/bioinformatics/btz431
10.3390/genes11101123
10.1093/brain/awx082
10.1093/hmg/dds199
10.1002/ana.23969
10.1016/j.nmd.2020.11.009
10.1212/WNL.0000000000002858
10.1016/j.ajhg.2017.01.004
10.1242/dmm.029058
10.1038/s41431-018-0177-4
10.1002/ana.24306
10.1007/s00415-006-0195-y
10.1093/bioinformatics/bty649
10.1093/nar/gkx1153
10.1038/nn.3584
10.1016/j.expneurol.2014.04.013
10.1002/humu.22157
10.1038/ng.442
10.1038/s41586-020-2308-7
10.1136/jnnp.2010.207464
10.1038/nrneurol.2016.182
10.1038/s41592-019-0430-y
10.1038/gim.2015.30
10.1001/jamaneurol.2019.0423
10.1177/1073858414555404
10.1136/jnnp-2017-317611
10.1002/ana.26009
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Issue 9
Keywords motor neuron disease
oligogenic inheritance
complex genetic disease
Language English
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References Al-Chalabi (2023090117345677000_awad120-B6) 2010; 81
Yates (2023090117345677000_awad120-B24) 2020; 48
(2023090117345677000_awad120-B19) 2021
Li (2023090117345677000_awad120-B36) 2017; 100
Neuromuscular Disease Centre (2023090117345677000_awad120-B20) 28 2021
Leblond (2023090117345677000_awad120-B7) 2014; 262
Kay (2023090117345677000_awad120-B33) 2016; 87
He (2023090117345677000_awad120-B10) 2015; 21
Renton (2023090117345677000_awad120-B3) 2014; 17
Richards (2023090117345677000_awad120-B17) 2015; 17
Cady (2023090117345677000_awad120-B31) 2015; 77
Morgan (2023090117345677000_awad120-B12) 2017; 140
Van Damme (2023090117345677000_awad120-B5) 2017; 10
van Blitterswijk (2023090117345677000_awad120-B8) 2012; 21
(2023090117345677000_awad120-B23) 25 2021
Gardiner (2023090117345677000_awad120-B34) 2019; 76
Abel (2023090117345677000_awad120-B22) 2012; 33
Landrum (2023090117345677000_awad120-B28) 2018; 46
Byrne (2023090117345677000_awad120-B37) 2011; 12
Scott (2023090117345677000_awad120-B27) 2019; 35
Hardiman (2023090117345677000_awad120-B1) 2017; 3
Benarroch (2023090117345677000_awad120-B21) 2020; 30
Moisse (2023090117345677000_awad120-B18) 2021; 89
Müller (2023090117345677000_awad120-B13) 2018; 89
Al-Chalabi (2023090117345677000_awad120-B9) 2017; 13
Dolzhenko (2023090117345677000_awad120-B25) 2019; 35
Lattante (2023090117345677000_awad120-B35) 2020; 11
Ou (2023090117345677000_awad120-B30) 2019; 16
Karczewski (2023090117345677000_awad120-B29) 2020; 581
Debray (2023090117345677000_awad120-B14) 2013; 34
Project Mine ALS Sequencing Consortium (2023090117345677000_awad120-B16) 2018; 26
van Es (2023090117345677000_awad120-B26) 2009; 41
Byrne (2023090117345677000_awad120-B4) 2013; 74
Pasinelli (2023090117345677000_awad120-B32) 2006; 7
Volk (2023090117345677000_awad120-B2) 2018; 30
Couthouis (2023090117345677000_awad120-B15) 2014; 10
Johnston (2023090117345677000_awad120-B11) 2006; 253
References_xml – volume: 3
  start-page: 17085
  year: 2017
  ident: 2023090117345677000_awad120-B1
  article-title: Amyotrophic lateral sclerosis
  publication-title: Nat Rev Dis Primers
  doi: 10.1038/nrdp.2017.85
– volume: 12
  start-page: 157
  year: 2011
  ident: 2023090117345677000_awad120-B37
  article-title: Proposed criteria for familial amyotrophic lateral sclerosis
  publication-title: Amyotroph Lateral Scler
  doi: 10.3109/17482968.2010.545420
– volume: 34
  start-page: 2890.e7
  year: 2013
  ident: 2023090117345677000_awad120-B14
  article-title: Frequency of C9orf72 repeat expansions in amyotrophic lateral sclerosis: a Belgian cohort study
  publication-title: Neurobiol Aging
  doi: 10.1016/j.neurobiolaging.2013.06.009
– volume: 7
  start-page: 710
  year: 2006
  ident: 2023090117345677000_awad120-B32
  article-title: Molecular biology of amyotrophic lateral sclerosis: insights from genetics
  publication-title: Nat Rev Neurosci
  doi: 10.1038/nrn1971
– volume: 10
  year: 2014
  ident: 2023090117345677000_awad120-B15
  article-title: Targeted exon capture and sequencing in sporadic amyotrophic lateral sclerosis
  publication-title: PLoS Genet
  doi: 10.1371/journal.pgen.1004704
– volume: 35
  start-page: 4754
  year: 2019
  ident: 2023090117345677000_awad120-B25
  article-title: Expansionhunter: a sequence-graph-based tool to analyze variation in short tandem repeat regions
  publication-title: Bioinformatics
  doi: 10.1093/bioinformatics/btz431
– volume: 11
  start-page: 1123
  year: 2020
  ident: 2023090117345677000_awad120-B35
  article-title: High-Throughput genetic testing in ALS: the challenging path of variant classification considering the ACMG guidelines
  publication-title: Genes (Basel).
  doi: 10.3390/genes11101123
– volume: 140
  start-page: 1611
  year: 2017
  ident: 2023090117345677000_awad120-B12
  article-title: A comprehensive analysis of rare genetic variation in amyotrophic lateral sclerosis in the UK
  publication-title: Brain
  doi: 10.1093/brain/awx082
– volume: 21
  start-page: 3776
  year: 2012
  ident: 2023090117345677000_awad120-B8
  article-title: Evidence for an oligogenic basis of amyotrophic lateral sclerosis
  publication-title: Hum Mol Genet
  doi: 10.1093/hmg/dds199
– volume: 74
  start-page: 699
  year: 2013
  ident: 2023090117345677000_awad120-B4
  article-title: Aggregation of neurologic and neuropsychiatric disease in amyotrophic lateral sclerosis kindreds: a population-based case-control cohort study of familial and sporadic amyotrophic lateral sclerosis
  publication-title: Ann Neurol
  doi: 10.1002/ana.23969
– volume: 30
  start-page: 1008
  year: 2020
  ident: 2023090117345677000_awad120-B21
  article-title: The 2021 version of the gene table of neuromuscular disorders (nuclear genome)
  publication-title: Neuromuscul Disord
  doi: 10.1016/j.nmd.2020.11.009
– volume: 87
  start-page: 282
  year: 2016
  ident: 2023090117345677000_awad120-B33
  article-title: Huntington disease reduced penetrance alleles occur at high frequency in the general population
  publication-title: Neurology
  doi: 10.1212/WNL.0000000000002858
– volume: 100
  start-page: 267
  year: 2017
  ident: 2023090117345677000_awad120-B36
  article-title: Intervar: clinical interpretation of genetic variants by the 2015 ACMG-AMP guidelines
  publication-title: Am J Hum Genet
  doi: 10.1016/j.ajhg.2017.01.004
– volume: 10
  start-page: 537
  year: 2017
  ident: 2023090117345677000_awad120-B5
  article-title: Modelling amyotrophic lateral sclerosis: progress and possibilities
  publication-title: Dis Model Mech.
  doi: 10.1242/dmm.029058
– volume: 26
  start-page: 1537
  year: 2018
  ident: 2023090117345677000_awad120-B16
  article-title: Project MinE: study design and pilot analyses of a large-scale whole-genome sequencing study in amyotrophic lateral sclerosis
  publication-title: Eur J Hum Genet.
  doi: 10.1038/s41431-018-0177-4
– volume: 77
  start-page: 100
  year: 2015
  ident: 2023090117345677000_awad120-B31
  article-title: Amyotrophic lateral sclerosis onset is influenced by the burden of rare variants in known amyotrophic lateral sclerosis genes
  publication-title: Ann Neurol
  doi: 10.1002/ana.24306
– volume: 30
  start-page: 252
  year: 2018
  ident: 2023090117345677000_awad120-B2
  article-title: Current knowledge and recent insights into the genetic basis of amyotrophic lateral sclerosis
  publication-title: Med Genet.
– volume: 253
  start-page: 1642
  year: 2006
  ident: 2023090117345677000_awad120-B11
  article-title: Amyotrophic lateral sclerosis in an urban setting: a population based study of inner city London
  publication-title: J Neurol
  doi: 10.1007/s00415-006-0195-y
– volume: 35
  start-page: 865
  year: 2019
  ident: 2023090117345677000_awad120-B27
  article-title: Charger: clinical characterization of germline variants
  publication-title: Bioinformatics
  doi: 10.1093/bioinformatics/bty649
– volume: 46
  start-page: D1062
  issue: D1
  year: 2018
  ident: 2023090117345677000_awad120-B28
  article-title: Clinvar: improving access to variant interpretations and supporting evidence
  publication-title: Nucleic Acids Res
  doi: 10.1093/nar/gkx1153
– volume: 17
  start-page: 17
  year: 2014
  ident: 2023090117345677000_awad120-B3
  article-title: State of play in amyotrophic lateral sclerosis genetics
  publication-title: Nat Neurosci
  doi: 10.1038/nn.3584
– volume: 262
  start-page: 91
  issue: Pt B
  year: 2014
  ident: 2023090117345677000_awad120-B7
  article-title: Dissection of genetic factors associated with amyotrophic lateral sclerosis
  publication-title: Exp Neurol
  doi: 10.1016/j.expneurol.2014.04.013
– volume: 33
  start-page: 1345
  year: 2012
  ident: 2023090117345677000_awad120-B22
  article-title: ALSod: a user-friendly online bioinformatics tool for amyotrophic lateral sclerosis genetics
  publication-title: Hum Mutat
  doi: 10.1002/humu.22157
– volume: 41
  start-page: 1083
  year: 2009
  ident: 2023090117345677000_awad120-B26
  article-title: Genome-wide association study identifies 19p13.3 (UNC13A) and 9p21.2 as susceptibility loci for sporadic amyotrophic lateral sclerosis
  publication-title: Nat Genet
  doi: 10.1038/ng.442
– volume: 581
  start-page: 434
  year: 2020
  ident: 2023090117345677000_awad120-B29
  article-title: The mutational constraint spectrum quantified from variation in 141,456 humans
  publication-title: Nature
  doi: 10.1038/s41586-020-2308-7
– volume: 81
  start-page: 1324
  year: 2010
  ident: 2023090117345677000_awad120-B6
  article-title: An estimate of amyotrophic lateral sclerosis heritability using twin data
  publication-title: J Neurol Neurosurg Psychiatry
  doi: 10.1136/jnnp.2010.207464
– volume: 48
  start-page: D682
  issue: D1
  year: 2020
  ident: 2023090117345677000_awad120-B24
  article-title: Ensembl 2020
  publication-title: Nucleic Acids Res
– volume: 13
  start-page: 96
  year: 2017
  ident: 2023090117345677000_awad120-B9
  article-title: Gene discovery in amyotrophic lateral sclerosis: implications for clinical management
  publication-title: Nat Rev Neurol
  doi: 10.1038/nrneurol.2016.182
– year: 2021
  ident: 2023090117345677000_awad120-B19
– year: 25 2021
  ident: 2023090117345677000_awad120-B23
– volume: 16
  start-page: 453
  year: 2019
  ident: 2023090117345677000_awad120-B30
  article-title: Trackviewer: A bioconductor package for interactive and integrative visualization of multi-omics data
  publication-title: Nat Methods
  doi: 10.1038/s41592-019-0430-y
– volume: 17
  start-page: 405
  year: 2015
  ident: 2023090117345677000_awad120-B17
  article-title: Standards and guidelines for the interpretation of sequence variants: A joint consensus recommendation of the American college of medical genetics and genomics and the association for molecular pathology
  publication-title: Genet Med.
  doi: 10.1038/gim.2015.30
– year: 28 2021
  ident: 2023090117345677000_awad120-B20
– volume: 76
  start-page: 650
  year: 2019
  ident: 2023090117345677000_awad120-B34
  article-title: Prevalence of carriers of intermediate and pathological polyglutamine disease-associated alleles among large population-based cohorts
  publication-title: JAMA Neurol
  doi: 10.1001/jamaneurol.2019.0423
– volume: 21
  start-page: 599
  year: 2015
  ident: 2023090117345677000_awad120-B10
  article-title: Amyotrophic lateral sclerosis genetic studies: from genome-wide association mapping to genome sequencing
  publication-title: Neuroscientist
  doi: 10.1177/1073858414555404
– volume: 89
  start-page: 817
  year: 2018
  ident: 2023090117345677000_awad120-B13
  article-title: Comprehensive analysis of the mutation spectrum in 301 German ALS families. Journal of neurology
  publication-title: Neurosurgery & Psychiatry
  doi: 10.1136/jnnp-2017-317611
– volume: 89
  start-page: 686
  year: 2021
  ident: 2023090117345677000_awad120-B18
  article-title: The effect of SMN gene dosage on ALS risk and disease severity
  publication-title: Ann Neurol
  doi: 10.1002/ana.26009
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Snippet Abstract With the advent of gene therapies for amyotrophic lateral sclerosis (ALS), there is a surge in gene testing for this disease. Although there is ample...
© The Author(s) 2023. Published by Oxford University Press on behalf of the Guarantors of Brain. This is an Open Access article distributed under the terms of...
With the advent of gene therapies for amyotrophic lateral sclerosis (ALS), there is a surge in gene testing for this disease. Although there is ample...
With the advent of gene therapies for amyotrophic lateral sclerosis, there is a surge in gene testing for ALS. Although there is ample experience with gene...
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SubjectTerms Complex genetic disease
Motor neuron disease
Oligogenic inheritance
Original
Title Genetic variability in sporadic amyotrophic lateral sclerosis
URI http://hdl.handle.net/10451/59915
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