Exome array analysis of rare and low frequency variants in amyotrophic lateral sclerosis
Amyotrophic lateral sclerosis (ALS) is a fatal neurodegenerative disease that affects 1 in ~350 individuals. Genetic association studies have established ALS as a multifactorial disease with heritability estimated at ~61%, and recent studies show a prominent role for rare variation in its genetic ar...
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Veröffentlicht in: | Scientific reports 2019-04, Vol.9 (1), p.5931, Article 5931 |
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creator | Dekker, Annelot M. Diekstra, Frank P. Pulit, Sara L. Tazelaar, Gijs H. P. van der Spek, Rick A. van Rheenen, Wouter van Eijk, Kristel R. Calvo, Andrea Brunetti, Maura Damme, Philip Van Robberecht, Wim Hardiman, Orla McLaughlin, Russell Chiò, Adriano Sendtner, Michael Ludolph, Albert C. Weishaupt, Jochen H. Pardina, Jesus S. Mora van den Berg, Leonard H. Veldink, Jan H. |
description | Amyotrophic lateral sclerosis (ALS) is a fatal neurodegenerative disease that affects 1 in ~350 individuals. Genetic association studies have established ALS as a multifactorial disease with heritability estimated at ~61%, and recent studies show a prominent role for rare variation in its genetic architecture. To identify rare variants associated with disease onset we performed exome array genotyping in 4,244 cases and 3,106 controls from European cohorts. In this largest exome-wide study of rare variants in ALS to date, we performed single-variant association testing, gene-based burden, and exome-wide individual set-unique burden (ISUB) testing to identify single or aggregated rare variation that modifies disease risk. In single-variant testing no variants reached exome-wide significance, likely due to limited statistical power. Gene-based burden testing of rare non-synonymous and loss-of-function variants showed
NEK1
as the top associated gene. ISUB analysis did not show an increased exome-wide burden of deleterious variants in patients, possibly suggesting a more region-specific role for rare variation. Complete summary statistics are released publicly. This study did not implicate new risk loci, emphasizing the immediate need for future large-scale collaborations in ALS that will expand available sample sizes, increase genome coverage, and improve our ability to detect rare variants associated to ALS. |
doi_str_mv | 10.1038/s41598-019-42091-3 |
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NEK1
as the top associated gene. ISUB analysis did not show an increased exome-wide burden of deleterious variants in patients, possibly suggesting a more region-specific role for rare variation. Complete summary statistics are released publicly. This study did not implicate new risk loci, emphasizing the immediate need for future large-scale collaborations in ALS that will expand available sample sizes, increase genome coverage, and improve our ability to detect rare variants associated to ALS.</description><identifier>ISSN: 2045-2322</identifier><identifier>EISSN: 2045-2322</identifier><identifier>DOI: 10.1038/s41598-019-42091-3</identifier><identifier>PMID: 30976013</identifier><language>eng</language><publisher>London: Nature Publishing Group UK</publisher><subject>45/43 ; 631/208/205/2138 ; 692/617/375/1917/1285 ; Amyotrophic lateral sclerosis ; Amyotrophic Lateral Sclerosis - genetics ; Amyotrophic Lateral Sclerosis - pathology ; Case-Control Studies ; Exome - genetics ; Exome Sequencing ; Genetic Association Studies ; Genetic diversity ; Genetic Markers ; Genetic Predisposition to Disease ; Genomes ; Genotype ; Genotyping ; Health risks ; Heritability ; Humanities and Social Sciences ; Humans ; multidisciplinary ; Nek1 protein ; Neurodegenerative diseases ; Phenotype ; Polymorphism, Single Nucleotide ; Science ; Science (multidisciplinary) ; Statistical analysis</subject><ispartof>Scientific reports, 2019-04, Vol.9 (1), p.5931, Article 5931</ispartof><rights>The Author(s) 2019</rights><rights>The Author(s) 2019. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c474t-c757ca0e6f23f93d5310897e2e1c926b7cf32b65d240adc3c991f874fc811a043</citedby><cites>FETCH-LOGICAL-c474t-c757ca0e6f23f93d5310897e2e1c926b7cf32b65d240adc3c991f874fc811a043</cites><orcidid>0000-0002-2502-3669 ; 0000-0002-4737-2974 ; 0000-0002-5122-7243 ; 0000-0001-9579-5341 ; 0000-0002-5860-1533</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6459905/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6459905/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,27901,27902,41096,42165,51551,53766,53768</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/30976013$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Dekker, Annelot M.</creatorcontrib><creatorcontrib>Diekstra, Frank P.</creatorcontrib><creatorcontrib>Pulit, Sara L.</creatorcontrib><creatorcontrib>Tazelaar, Gijs H. P.</creatorcontrib><creatorcontrib>van der Spek, Rick A.</creatorcontrib><creatorcontrib>van Rheenen, Wouter</creatorcontrib><creatorcontrib>van Eijk, Kristel R.</creatorcontrib><creatorcontrib>Calvo, Andrea</creatorcontrib><creatorcontrib>Brunetti, Maura</creatorcontrib><creatorcontrib>Damme, Philip Van</creatorcontrib><creatorcontrib>Robberecht, Wim</creatorcontrib><creatorcontrib>Hardiman, Orla</creatorcontrib><creatorcontrib>McLaughlin, Russell</creatorcontrib><creatorcontrib>Chiò, Adriano</creatorcontrib><creatorcontrib>Sendtner, Michael</creatorcontrib><creatorcontrib>Ludolph, Albert C.</creatorcontrib><creatorcontrib>Weishaupt, Jochen H.</creatorcontrib><creatorcontrib>Pardina, Jesus S. Mora</creatorcontrib><creatorcontrib>van den Berg, Leonard H.</creatorcontrib><creatorcontrib>Veldink, Jan H.</creatorcontrib><title>Exome array analysis of rare and low frequency variants in amyotrophic lateral sclerosis</title><title>Scientific reports</title><addtitle>Sci Rep</addtitle><addtitle>Sci Rep</addtitle><description>Amyotrophic lateral sclerosis (ALS) is a fatal neurodegenerative disease that affects 1 in ~350 individuals. Genetic association studies have established ALS as a multifactorial disease with heritability estimated at ~61%, and recent studies show a prominent role for rare variation in its genetic architecture. To identify rare variants associated with disease onset we performed exome array genotyping in 4,244 cases and 3,106 controls from European cohorts. In this largest exome-wide study of rare variants in ALS to date, we performed single-variant association testing, gene-based burden, and exome-wide individual set-unique burden (ISUB) testing to identify single or aggregated rare variation that modifies disease risk. In single-variant testing no variants reached exome-wide significance, likely due to limited statistical power. Gene-based burden testing of rare non-synonymous and loss-of-function variants showed
NEK1
as the top associated gene. ISUB analysis did not show an increased exome-wide burden of deleterious variants in patients, possibly suggesting a more region-specific role for rare variation. Complete summary statistics are released publicly. This study did not implicate new risk loci, emphasizing the immediate need for future large-scale collaborations in ALS that will expand available sample sizes, increase genome coverage, and improve our ability to detect rare variants associated to ALS.</description><subject>45/43</subject><subject>631/208/205/2138</subject><subject>692/617/375/1917/1285</subject><subject>Amyotrophic lateral sclerosis</subject><subject>Amyotrophic Lateral Sclerosis - genetics</subject><subject>Amyotrophic Lateral Sclerosis - pathology</subject><subject>Case-Control Studies</subject><subject>Exome - genetics</subject><subject>Exome Sequencing</subject><subject>Genetic Association Studies</subject><subject>Genetic diversity</subject><subject>Genetic Markers</subject><subject>Genetic Predisposition to Disease</subject><subject>Genomes</subject><subject>Genotype</subject><subject>Genotyping</subject><subject>Health risks</subject><subject>Heritability</subject><subject>Humanities and Social Sciences</subject><subject>Humans</subject><subject>multidisciplinary</subject><subject>Nek1 protein</subject><subject>Neurodegenerative diseases</subject><subject>Phenotype</subject><subject>Polymorphism, Single Nucleotide</subject><subject>Science</subject><subject>Science (multidisciplinary)</subject><subject>Statistical analysis</subject><issn>2045-2322</issn><issn>2045-2322</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>C6C</sourceid><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><recordid>eNp9kUtPJCEUhcnEyWi0_8AsJiRu3JTyLIqNiTGOmpi4cRJ35DYFWqYKWqhW698P2u1zIRsI9-Nw7zkI_aZknxLeHGRBpW4qQnUlGNG04j_QFiNCVowztvHhvIlmOd-RsiTTgupfaJMTrWpC-Ra6PnmKg8OQEkwYAvRT7jKOHidI5Tq0uI-P2Cd3v3TBTvgBUgdhzLgLGIYpjikubjuLexhdgh5n27sUi8YO-umhz2623rfRv78nV8dn1cXl6fnx0UVlhRJjZZVUFoirPeNe81ZyShqtHHPUalbPlfWczWvZMkGgtdxqTX2jhLcNpUAE30aHK93Fcj641rowlj7MInUDpMlE6MznSuhuzU18MLWQWhNZBPbWAimWIfNohi5b1_cQXFxmw4q7xWmpntHdL-hdXKZi2guldCPqmhWKrShbjMjJ-bdmKDHP2ZlVdqZkZ16yM7w8-vNxjLcnr0kVgK-AXErhxqX3v7-R_Q9JxKWd</recordid><startdate>20190411</startdate><enddate>20190411</enddate><creator>Dekker, Annelot M.</creator><creator>Diekstra, Frank P.</creator><creator>Pulit, Sara L.</creator><creator>Tazelaar, Gijs H. 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P. ; van der Spek, Rick A. ; van Rheenen, Wouter ; van Eijk, Kristel R. ; Calvo, Andrea ; Brunetti, Maura ; Damme, Philip Van ; Robberecht, Wim ; Hardiman, Orla ; McLaughlin, Russell ; Chiò, Adriano ; Sendtner, Michael ; Ludolph, Albert C. ; Weishaupt, Jochen H. ; Pardina, Jesus S. 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Mora</creatorcontrib><creatorcontrib>van den Berg, Leonard H.</creatorcontrib><creatorcontrib>Veldink, Jan H.</creatorcontrib><collection>Springer Open Access</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>ProQuest Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Biology Database (Alumni Edition)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Science Database (Alumni Edition)</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Biological Sciences</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>ProQuest Science Journals</collection><collection>Biological Science Database</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Scientific reports</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Dekker, Annelot M.</au><au>Diekstra, Frank P.</au><au>Pulit, Sara L.</au><au>Tazelaar, Gijs H. P.</au><au>van der Spek, Rick A.</au><au>van Rheenen, Wouter</au><au>van Eijk, Kristel R.</au><au>Calvo, Andrea</au><au>Brunetti, Maura</au><au>Damme, Philip Van</au><au>Robberecht, Wim</au><au>Hardiman, Orla</au><au>McLaughlin, Russell</au><au>Chiò, Adriano</au><au>Sendtner, Michael</au><au>Ludolph, Albert C.</au><au>Weishaupt, Jochen H.</au><au>Pardina, Jesus S. Mora</au><au>van den Berg, Leonard H.</au><au>Veldink, Jan H.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Exome array analysis of rare and low frequency variants in amyotrophic lateral sclerosis</atitle><jtitle>Scientific reports</jtitle><stitle>Sci Rep</stitle><addtitle>Sci Rep</addtitle><date>2019-04-11</date><risdate>2019</risdate><volume>9</volume><issue>1</issue><spage>5931</spage><pages>5931-</pages><artnum>5931</artnum><issn>2045-2322</issn><eissn>2045-2322</eissn><abstract>Amyotrophic lateral sclerosis (ALS) is a fatal neurodegenerative disease that affects 1 in ~350 individuals. Genetic association studies have established ALS as a multifactorial disease with heritability estimated at ~61%, and recent studies show a prominent role for rare variation in its genetic architecture. To identify rare variants associated with disease onset we performed exome array genotyping in 4,244 cases and 3,106 controls from European cohorts. In this largest exome-wide study of rare variants in ALS to date, we performed single-variant association testing, gene-based burden, and exome-wide individual set-unique burden (ISUB) testing to identify single or aggregated rare variation that modifies disease risk. In single-variant testing no variants reached exome-wide significance, likely due to limited statistical power. Gene-based burden testing of rare non-synonymous and loss-of-function variants showed
NEK1
as the top associated gene. ISUB analysis did not show an increased exome-wide burden of deleterious variants in patients, possibly suggesting a more region-specific role for rare variation. Complete summary statistics are released publicly. This study did not implicate new risk loci, emphasizing the immediate need for future large-scale collaborations in ALS that will expand available sample sizes, increase genome coverage, and improve our ability to detect rare variants associated to ALS.</abstract><cop>London</cop><pub>Nature Publishing Group UK</pub><pmid>30976013</pmid><doi>10.1038/s41598-019-42091-3</doi><orcidid>https://orcid.org/0000-0002-2502-3669</orcidid><orcidid>https://orcid.org/0000-0002-4737-2974</orcidid><orcidid>https://orcid.org/0000-0002-5122-7243</orcidid><orcidid>https://orcid.org/0000-0001-9579-5341</orcidid><orcidid>https://orcid.org/0000-0002-5860-1533</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | 45/43 631/208/205/2138 692/617/375/1917/1285 Amyotrophic lateral sclerosis Amyotrophic Lateral Sclerosis - genetics Amyotrophic Lateral Sclerosis - pathology Case-Control Studies Exome - genetics Exome Sequencing Genetic Association Studies Genetic diversity Genetic Markers Genetic Predisposition to Disease Genomes Genotype Genotyping Health risks Heritability Humanities and Social Sciences Humans multidisciplinary Nek1 protein Neurodegenerative diseases Phenotype Polymorphism, Single Nucleotide Science Science (multidisciplinary) Statistical analysis |
title | Exome array analysis of rare and low frequency variants in amyotrophic lateral sclerosis |
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