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Non-coding and Loss-of-Function Coding Variants in TET2 are Associated with Multiple Neurodegenerative Diseases
We conducted genome sequencing to search for rare variation contributing to early-onset Alzheimer’s disease (EOAD) and frontotemporal dementia (FTD). Discovery analysis was conducted on 435 cases and 671 controls of European ancestry. Burden testing for rare variation associated with disease was con...
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Published in: | American journal of human genetics 2020-05, Vol.106 (5), p.632-645 |
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creator | Cochran, J. Nicholas Geier, Ethan G. Bonham, Luke W. Newberry, J. Scott Amaral, Michelle D. Thompson, Michelle L. Lasseigne, Brittany N. Karydas, Anna M. Roberson, Erik D. Cooper, Gregory M. Rabinovici, Gil D. Miller, Bruce L. Myers, Richard M. Yokoyama, Jennifer S. |
description | We conducted genome sequencing to search for rare variation contributing to early-onset Alzheimer’s disease (EOAD) and frontotemporal dementia (FTD). Discovery analysis was conducted on 435 cases and 671 controls of European ancestry. Burden testing for rare variation associated with disease was conducted using filters based on variant rarity (less than one in 10,000 or private), computational prediction of deleteriousness (CADD) (10 or 15 thresholds), and molecular function (protein loss-of-function [LoF] only, coding alteration only, or coding plus non-coding variants in experimentally predicted regulatory regions). Replication analysis was conducted on 16,434 independent cases and 15,587 independent controls. Rare variants in TET2 were enriched in the discovery combined EOAD and FTD cohort (p = 4.6 × 10−8, genome-wide corrected p = 0.0026). Most of these variants were canonical LoF or non-coding in predicted regulatory regions. This enrichment replicated across several cohorts of Alzheimer’s disease (AD) and FTD (replication only p = 0.0029). The combined analysis odds ratio was 2.3 (95% confidence interval [CI] 1.6–3.4) for AD and FTD. The odds ratio for qualifying non-coding variants considered independently from coding variants was 3.7 (95% CI 1.7–9.4). For LoF variants, the combined odds ratio (for AD, FTD, and amyotrophic lateral sclerosis, which shares clinicopathological overlap with FTD) was 3.1 (95% CI 1.9–5.2). TET2 catalyzes DNA demethylation. Given well-defined changes in DNA methylation that occur during aging, rare variation in TET2 may confer risk for neurodegeneration by altering the homeostasis of key aging-related processes. Additionally, our study emphasizes the relevance of non-coding variation in genetic studies of complex disease. |
doi_str_mv | 10.1016/j.ajhg.2020.03.010 |
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Nicholas ; Geier, Ethan G. ; Bonham, Luke W. ; Newberry, J. Scott ; Amaral, Michelle D. ; Thompson, Michelle L. ; Lasseigne, Brittany N. ; Karydas, Anna M. ; Roberson, Erik D. ; Cooper, Gregory M. ; Rabinovici, Gil D. ; Miller, Bruce L. ; Myers, Richard M. ; Yokoyama, Jennifer S.</creator><creatorcontrib>Cochran, J. Nicholas ; Geier, Ethan G. ; Bonham, Luke W. ; Newberry, J. Scott ; Amaral, Michelle D. ; Thompson, Michelle L. ; Lasseigne, Brittany N. ; Karydas, Anna M. ; Roberson, Erik D. ; Cooper, Gregory M. ; Rabinovici, Gil D. ; Miller, Bruce L. ; Myers, Richard M. ; Yokoyama, Jennifer S. ; Alzheimer’s Disease Neuroimaging Initiative</creatorcontrib><description>We conducted genome sequencing to search for rare variation contributing to early-onset Alzheimer’s disease (EOAD) and frontotemporal dementia (FTD). Discovery analysis was conducted on 435 cases and 671 controls of European ancestry. Burden testing for rare variation associated with disease was conducted using filters based on variant rarity (less than one in 10,000 or private), computational prediction of deleteriousness (CADD) (10 or 15 thresholds), and molecular function (protein loss-of-function [LoF] only, coding alteration only, or coding plus non-coding variants in experimentally predicted regulatory regions). Replication analysis was conducted on 16,434 independent cases and 15,587 independent controls. Rare variants in TET2 were enriched in the discovery combined EOAD and FTD cohort (p = 4.6 × 10−8, genome-wide corrected p = 0.0026). Most of these variants were canonical LoF or non-coding in predicted regulatory regions. This enrichment replicated across several cohorts of Alzheimer’s disease (AD) and FTD (replication only p = 0.0029). The combined analysis odds ratio was 2.3 (95% confidence interval [CI] 1.6–3.4) for AD and FTD. The odds ratio for qualifying non-coding variants considered independently from coding variants was 3.7 (95% CI 1.7–9.4). For LoF variants, the combined odds ratio (for AD, FTD, and amyotrophic lateral sclerosis, which shares clinicopathological overlap with FTD) was 3.1 (95% CI 1.9–5.2). TET2 catalyzes DNA demethylation. Given well-defined changes in DNA methylation that occur during aging, rare variation in TET2 may confer risk for neurodegeneration by altering the homeostasis of key aging-related processes. Additionally, our study emphasizes the relevance of non-coding variation in genetic studies of complex disease.</description><identifier>ISSN: 0002-9297</identifier><identifier>EISSN: 1537-6605</identifier><identifier>DOI: 10.1016/j.ajhg.2020.03.010</identifier><identifier>PMID: 32330418</identifier><language>eng</language><publisher>United States: Elsevier Inc</publisher><subject>Aged ; Aged, 80 and over ; aging ; ALS ; Alzheimer ; Alzheimer Disease - genetics ; amyotrophic lateral sclerosis ; Animals ; Cognition ; Dioxygenases ; DNA-Binding Proteins - deficiency ; DNA-Binding Proteins - genetics ; Female ; frontotemporal dementia ; Frontotemporal Dementia - genetics ; FTD ; genome sequencing ; Humans ; Loss of Function Mutation - genetics ; Male ; Mice ; Neurodegenerative Diseases - genetics ; non-coding ; Proto-Oncogene Proteins - deficiency ; Proto-Oncogene Proteins - genetics ; TET2</subject><ispartof>American journal of human genetics, 2020-05, Vol.106 (5), p.632-645</ispartof><rights>2020 American Society of Human Genetics</rights><rights>Copyright © 2020 American Society of Human Genetics. Published by Elsevier Inc. All rights reserved.</rights><rights>2020 American Society of Human Genetics. 2020 American Society of Human Genetics</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c455t-6c03142c3b01a7ae608cd9d4a8f213392df5db2d6b44e323845b4cbb122619283</citedby><cites>FETCH-LOGICAL-c455t-6c03142c3b01a7ae608cd9d4a8f213392df5db2d6b44e323845b4cbb122619283</cites><orcidid>0000-0002-9852-5504</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/PMC7212268/pdf/$$EPDF$$P50$$Gpubmedcentral$$H</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7212268/$$EHTML$$P50$$Gpubmedcentral$$H</linktohtml><link.rule.ids>230,314,727,780,784,885,27924,27925,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32330418$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Cochran, J. Nicholas</creatorcontrib><creatorcontrib>Geier, Ethan G.</creatorcontrib><creatorcontrib>Bonham, Luke W.</creatorcontrib><creatorcontrib>Newberry, J. Scott</creatorcontrib><creatorcontrib>Amaral, Michelle D.</creatorcontrib><creatorcontrib>Thompson, Michelle L.</creatorcontrib><creatorcontrib>Lasseigne, Brittany N.</creatorcontrib><creatorcontrib>Karydas, Anna M.</creatorcontrib><creatorcontrib>Roberson, Erik D.</creatorcontrib><creatorcontrib>Cooper, Gregory M.</creatorcontrib><creatorcontrib>Rabinovici, Gil D.</creatorcontrib><creatorcontrib>Miller, Bruce L.</creatorcontrib><creatorcontrib>Myers, Richard M.</creatorcontrib><creatorcontrib>Yokoyama, Jennifer S.</creatorcontrib><creatorcontrib>Alzheimer’s Disease Neuroimaging Initiative</creatorcontrib><title>Non-coding and Loss-of-Function Coding Variants in TET2 are Associated with Multiple Neurodegenerative Diseases</title><title>American journal of human genetics</title><addtitle>Am J Hum Genet</addtitle><description>We conducted genome sequencing to search for rare variation contributing to early-onset Alzheimer’s disease (EOAD) and frontotemporal dementia (FTD). Discovery analysis was conducted on 435 cases and 671 controls of European ancestry. Burden testing for rare variation associated with disease was conducted using filters based on variant rarity (less than one in 10,000 or private), computational prediction of deleteriousness (CADD) (10 or 15 thresholds), and molecular function (protein loss-of-function [LoF] only, coding alteration only, or coding plus non-coding variants in experimentally predicted regulatory regions). Replication analysis was conducted on 16,434 independent cases and 15,587 independent controls. Rare variants in TET2 were enriched in the discovery combined EOAD and FTD cohort (p = 4.6 × 10−8, genome-wide corrected p = 0.0026). Most of these variants were canonical LoF or non-coding in predicted regulatory regions. This enrichment replicated across several cohorts of Alzheimer’s disease (AD) and FTD (replication only p = 0.0029). The combined analysis odds ratio was 2.3 (95% confidence interval [CI] 1.6–3.4) for AD and FTD. The odds ratio for qualifying non-coding variants considered independently from coding variants was 3.7 (95% CI 1.7–9.4). For LoF variants, the combined odds ratio (for AD, FTD, and amyotrophic lateral sclerosis, which shares clinicopathological overlap with FTD) was 3.1 (95% CI 1.9–5.2). TET2 catalyzes DNA demethylation. Given well-defined changes in DNA methylation that occur during aging, rare variation in TET2 may confer risk for neurodegeneration by altering the homeostasis of key aging-related processes. Additionally, our study emphasizes the relevance of non-coding variation in genetic studies of complex disease.</description><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>aging</subject><subject>ALS</subject><subject>Alzheimer</subject><subject>Alzheimer Disease - genetics</subject><subject>amyotrophic lateral sclerosis</subject><subject>Animals</subject><subject>Cognition</subject><subject>Dioxygenases</subject><subject>DNA-Binding Proteins - deficiency</subject><subject>DNA-Binding Proteins - genetics</subject><subject>Female</subject><subject>frontotemporal dementia</subject><subject>Frontotemporal Dementia - genetics</subject><subject>FTD</subject><subject>genome sequencing</subject><subject>Humans</subject><subject>Loss of Function Mutation - genetics</subject><subject>Male</subject><subject>Mice</subject><subject>Neurodegenerative Diseases - genetics</subject><subject>non-coding</subject><subject>Proto-Oncogene Proteins - deficiency</subject><subject>Proto-Oncogene Proteins - genetics</subject><subject>TET2</subject><issn>0002-9297</issn><issn>1537-6605</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><recordid>eNp9kU2P0zAQhi0EYsvCH-CAfOSS7PgjaSIhpFV3F1Yqy6VwtRx70rpK7WI7Rfx7EnVZwYWTD_POM555CHnLoGTA6qt9qfe7bcmBQwmiBAbPyIJVYlnUNVTPyQIAeNHydnlBXqW0B2CsAfGSXAguBEjWLEh4CL4wwTq_pdpbug4pFaEv7kZvsguers617zo67XOiztPN7YZTHZFepxSM0xkt_enyjn4Zh-yOA9IHHGOwuEWPUWd3QnrjEuqE6TV50esh4ZvH95J8u7vdrD4X66-f7lfX68LIqspFbUAwyY3ogOmlxhoaY1srddNzJkTLbV_Zjtu6kxKnbRpZddJ0HeO8Zi1vxCX5eOYex-6A1qDPUQ_qGN1Bx18qaKf-rXi3U9twUks-M2bA-0dADD9GTFkdXDI4DNpjGJPiopVNW7WynaL8HDVxul7E_mkMAzWbUns1m1KzKQVCTaampnd_f_Cp5Y-aKfDhHMDpTCeHUSXj0Bu0LqLJygb3P_5vagel3w</recordid><startdate>20200507</startdate><enddate>20200507</enddate><creator>Cochran, J. Nicholas</creator><creator>Geier, Ethan G.</creator><creator>Bonham, Luke W.</creator><creator>Newberry, J. 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Nicholas</au><au>Geier, Ethan G.</au><au>Bonham, Luke W.</au><au>Newberry, J. Scott</au><au>Amaral, Michelle D.</au><au>Thompson, Michelle L.</au><au>Lasseigne, Brittany N.</au><au>Karydas, Anna M.</au><au>Roberson, Erik D.</au><au>Cooper, Gregory M.</au><au>Rabinovici, Gil D.</au><au>Miller, Bruce L.</au><au>Myers, Richard M.</au><au>Yokoyama, Jennifer S.</au><aucorp>Alzheimer’s Disease Neuroimaging Initiative</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Non-coding and Loss-of-Function Coding Variants in TET2 are Associated with Multiple Neurodegenerative Diseases</atitle><jtitle>American journal of human genetics</jtitle><addtitle>Am J Hum Genet</addtitle><date>2020-05-07</date><risdate>2020</risdate><volume>106</volume><issue>5</issue><spage>632</spage><epage>645</epage><pages>632-645</pages><issn>0002-9297</issn><eissn>1537-6605</eissn><abstract>We conducted genome sequencing to search for rare variation contributing to early-onset Alzheimer’s disease (EOAD) and frontotemporal dementia (FTD). Discovery analysis was conducted on 435 cases and 671 controls of European ancestry. Burden testing for rare variation associated with disease was conducted using filters based on variant rarity (less than one in 10,000 or private), computational prediction of deleteriousness (CADD) (10 or 15 thresholds), and molecular function (protein loss-of-function [LoF] only, coding alteration only, or coding plus non-coding variants in experimentally predicted regulatory regions). Replication analysis was conducted on 16,434 independent cases and 15,587 independent controls. Rare variants in TET2 were enriched in the discovery combined EOAD and FTD cohort (p = 4.6 × 10−8, genome-wide corrected p = 0.0026). Most of these variants were canonical LoF or non-coding in predicted regulatory regions. This enrichment replicated across several cohorts of Alzheimer’s disease (AD) and FTD (replication only p = 0.0029). The combined analysis odds ratio was 2.3 (95% confidence interval [CI] 1.6–3.4) for AD and FTD. The odds ratio for qualifying non-coding variants considered independently from coding variants was 3.7 (95% CI 1.7–9.4). For LoF variants, the combined odds ratio (for AD, FTD, and amyotrophic lateral sclerosis, which shares clinicopathological overlap with FTD) was 3.1 (95% CI 1.9–5.2). TET2 catalyzes DNA demethylation. Given well-defined changes in DNA methylation that occur during aging, rare variation in TET2 may confer risk for neurodegeneration by altering the homeostasis of key aging-related processes. Additionally, our study emphasizes the relevance of non-coding variation in genetic studies of complex disease.</abstract><cop>United States</cop><pub>Elsevier Inc</pub><pmid>32330418</pmid><doi>10.1016/j.ajhg.2020.03.010</doi><tpages>14</tpages><orcidid>https://orcid.org/0000-0002-9852-5504</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Aged Aged, 80 and over aging ALS Alzheimer Alzheimer Disease - genetics amyotrophic lateral sclerosis Animals Cognition Dioxygenases DNA-Binding Proteins - deficiency DNA-Binding Proteins - genetics Female frontotemporal dementia Frontotemporal Dementia - genetics FTD genome sequencing Humans Loss of Function Mutation - genetics Male Mice Neurodegenerative Diseases - genetics non-coding Proto-Oncogene Proteins - deficiency Proto-Oncogene Proteins - genetics TET2 |
title | Non-coding and Loss-of-Function Coding Variants in TET2 are Associated with Multiple Neurodegenerative Diseases |
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