Large-scale rare variant burden testing in Parkinson's disease
Abstract Parkinson’s disease has a large heritable component and genome-wide association studies have identified over 90 variants with disease-associated common variants, providing deeper insights into the disease biology. However, there have not been large-scale rare variant analyses for Parkinson’...
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creator | Makarious, Mary B Lake, Julie Pitz, Vanessa Ye Fu, Allen Guidubaldi, Joseph L Solsberg, Caroline Warly Bandres-Ciga, Sara Leonard, Hampton L Kim, Jonggeol Jeffrey Billingsley, Kimberley J Grenn, Francis P Jerez, Pilar Alvarez Alvarado, Chelsea X Iwaki, Hirotaka Ta, Michael Vitale, Dan Hernandez, Dena Torkamani, Ali Ryten, Mina Hardy, John Scholz, Sonja W Traynor, Bryan J Dalgard, Clifton L Ehrlich, Debra J Tanaka, Toshiko Ferrucci, Luigi Beach, Thomas G Serrano, Geidy E Real, Raquel Morris, Huw R Ding, Jinhui Gibbs, J Raphael Singleton, Andrew B Nalls, Mike A Bhangale, Tushar Blauwendraat, Cornelis |
description | Abstract
Parkinson’s disease has a large heritable component and genome-wide association studies have identified over 90 variants with disease-associated common variants, providing deeper insights into the disease biology. However, there have not been large-scale rare variant analyses for Parkinson’s disease.
To address this gap, we investigated the rare genetic component of Parkinson’s disease at minor allele frequencies |
doi_str_mv | 10.1093/brain/awad214 |
format | Article |
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Parkinson’s disease has a large heritable component and genome-wide association studies have identified over 90 variants with disease-associated common variants, providing deeper insights into the disease biology. However, there have not been large-scale rare variant analyses for Parkinson’s disease.
To address this gap, we investigated the rare genetic component of Parkinson’s disease at minor allele frequencies <1%, using whole genome and whole exome sequencing data from 7184 Parkinson’s disease cases, 6701 proxy cases and 51 650 healthy controls from the Accelerating Medicines Partnership Parkinson's disease (AMP-PD) initiative, the National Institutes of Health, the UK Biobank and Genentech. We performed burden tests meta-analyses on small indels and single nucleotide protein-altering variants, prioritized based on their predicted functional impact.
Our work identified several genes reaching exome-wide significance. Two of these genes, GBA1 and LRRK2, have variants that have been previously implicated as risk factors for Parkinson’s disease, with some variants in LRRK2 resulting in monogenic forms of the disease. We identify potential novel risk associations for variants in B3GNT3, AUNIP, ADH5, TUBA1B, OR1G1, CAPN10 and TREML1 but were unable to replicate the observed associations across independent datasets. Of these, B3GNT3 and TREML1 could provide new evidence for the role of neuroinflammation in Parkinson’s disease. To date, this is the largest analysis of rare genetic variants in Parkinson’s disease.
Makarious et al. investigate the contribution of rare genetic variants, with minor allele frequencies <1%, to Parkinson’s disease risk. They confirm the known associations between rare variants in GBA1 and LRRK2 and Parkinson’s disease risk in individuals of European ancestry, and identify additional novel risk associations.</description><identifier>ISSN: 0006-8950</identifier><identifier>EISSN: 1460-2156</identifier><identifier>DOI: 10.1093/brain/awad214</identifier><identifier>PMID: 37348876</identifier><language>eng</language><publisher>US: Oxford University Press</publisher><subject>Gene Frequency ; Genetic Predisposition to Disease - genetics ; Genome-Wide Association Study - methods ; Humans ; Original ; Parkinson Disease - genetics ; Receptors, Immunologic ; Risk Factors</subject><ispartof>Brain (London, England : 1878), 2023-11, Vol.146 (11), p.4622-4632</ispartof><rights>Published by Oxford University Press on behalf of the Guarantors of Brain 2023. 2023</rights><rights>Published by Oxford University Press on behalf of the Guarantors of Brain 2023.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c421t-232071d83507afc3d15c6ecf23a402fe56dc1bb24d1be9d87e151a987ba2c9053</citedby><cites>FETCH-LOGICAL-c421t-232071d83507afc3d15c6ecf23a402fe56dc1bb24d1be9d87e151a987ba2c9053</cites><orcidid>0000-0003-0232-8053 ; 0000-0001-9520-6957 ; 0000-0002-5473-3774 ; 0000-0002-6623-0429 ; 0000-0001-9358-8111 ; 0000-0002-6273-1613 ; 0000-0001-8117-742X ; 0000-0001-7049-6281 ; 0000-0002-0637-3671 ; 0000-0002-2623-5997 ; 0000-0002-9527-2011 ; 0000-0002-4161-3829</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,776,780,881,1578,27901,27902</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/37348876$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Makarious, Mary B</creatorcontrib><creatorcontrib>Lake, Julie</creatorcontrib><creatorcontrib>Pitz, Vanessa</creatorcontrib><creatorcontrib>Ye Fu, Allen</creatorcontrib><creatorcontrib>Guidubaldi, Joseph L</creatorcontrib><creatorcontrib>Solsberg, Caroline Warly</creatorcontrib><creatorcontrib>Bandres-Ciga, Sara</creatorcontrib><creatorcontrib>Leonard, Hampton L</creatorcontrib><creatorcontrib>Kim, Jonggeol Jeffrey</creatorcontrib><creatorcontrib>Billingsley, Kimberley J</creatorcontrib><creatorcontrib>Grenn, Francis P</creatorcontrib><creatorcontrib>Jerez, Pilar Alvarez</creatorcontrib><creatorcontrib>Alvarado, Chelsea X</creatorcontrib><creatorcontrib>Iwaki, Hirotaka</creatorcontrib><creatorcontrib>Ta, Michael</creatorcontrib><creatorcontrib>Vitale, Dan</creatorcontrib><creatorcontrib>Hernandez, Dena</creatorcontrib><creatorcontrib>Torkamani, Ali</creatorcontrib><creatorcontrib>Ryten, Mina</creatorcontrib><creatorcontrib>Hardy, John</creatorcontrib><creatorcontrib>Scholz, Sonja W</creatorcontrib><creatorcontrib>Traynor, Bryan J</creatorcontrib><creatorcontrib>Dalgard, Clifton L</creatorcontrib><creatorcontrib>Ehrlich, Debra J</creatorcontrib><creatorcontrib>Tanaka, Toshiko</creatorcontrib><creatorcontrib>Ferrucci, Luigi</creatorcontrib><creatorcontrib>Beach, Thomas G</creatorcontrib><creatorcontrib>Serrano, Geidy E</creatorcontrib><creatorcontrib>Real, Raquel</creatorcontrib><creatorcontrib>Morris, Huw R</creatorcontrib><creatorcontrib>Ding, Jinhui</creatorcontrib><creatorcontrib>Gibbs, J Raphael</creatorcontrib><creatorcontrib>Singleton, Andrew B</creatorcontrib><creatorcontrib>Nalls, Mike A</creatorcontrib><creatorcontrib>Bhangale, Tushar</creatorcontrib><creatorcontrib>Blauwendraat, Cornelis</creatorcontrib><creatorcontrib>UK Brain Expression Consortium (UKBEC)</creatorcontrib><title>Large-scale rare variant burden testing in Parkinson's disease</title><title>Brain (London, England : 1878)</title><addtitle>Brain</addtitle><description>Abstract
Parkinson’s disease has a large heritable component and genome-wide association studies have identified over 90 variants with disease-associated common variants, providing deeper insights into the disease biology. However, there have not been large-scale rare variant analyses for Parkinson’s disease.
To address this gap, we investigated the rare genetic component of Parkinson’s disease at minor allele frequencies <1%, using whole genome and whole exome sequencing data from 7184 Parkinson’s disease cases, 6701 proxy cases and 51 650 healthy controls from the Accelerating Medicines Partnership Parkinson's disease (AMP-PD) initiative, the National Institutes of Health, the UK Biobank and Genentech. We performed burden tests meta-analyses on small indels and single nucleotide protein-altering variants, prioritized based on their predicted functional impact.
Our work identified several genes reaching exome-wide significance. Two of these genes, GBA1 and LRRK2, have variants that have been previously implicated as risk factors for Parkinson’s disease, with some variants in LRRK2 resulting in monogenic forms of the disease. We identify potential novel risk associations for variants in B3GNT3, AUNIP, ADH5, TUBA1B, OR1G1, CAPN10 and TREML1 but were unable to replicate the observed associations across independent datasets. Of these, B3GNT3 and TREML1 could provide new evidence for the role of neuroinflammation in Parkinson’s disease. To date, this is the largest analysis of rare genetic variants in Parkinson’s disease.
Makarious et al. investigate the contribution of rare genetic variants, with minor allele frequencies <1%, to Parkinson’s disease risk. They confirm the known associations between rare variants in GBA1 and LRRK2 and Parkinson’s disease risk in individuals of European ancestry, and identify additional novel risk associations.</description><subject>Gene Frequency</subject><subject>Genetic Predisposition to Disease - genetics</subject><subject>Genome-Wide Association Study - methods</subject><subject>Humans</subject><subject>Original</subject><subject>Parkinson Disease - genetics</subject><subject>Receptors, Immunologic</subject><subject>Risk Factors</subject><issn>0006-8950</issn><issn>1460-2156</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFkD1PwzAQhi0EglIYWVE2WAL-ipMsIFTxJVWCAWbrYl-KIXWKnRTx7ym0FJiYbrhHz3v3EnLA6AmjpTitAjh_Cm9gOZMbZMCkoilnmdokA0qpSosyoztkN8ZnSpkUXG2THZELWRS5GpCzMYQJptFAg0mAgMkcggPfJVUfLPqkw9g5P0mcT-4hvDgfW38UE-siQsQ9slVDE3F_NYfk8eryYXSTju-ub0cX49RIzrqUC05zZguR0RxqIyzLjEJTcwGS8hozZQ2rKi4tq7C0RY4sY1AWeQXclDQTQ3K-9M76aorWoO8CNHoW3BTCu27B6b8b7570pJ1rRhUv85wuDMcrQ2hf-8VTeuqiwaYBj20fNS94KbkSmVyg6RI1oY0xYL3OYVR_lq6_Ster0hf84e_j1vR3yz_ZbT_7x_UBz8WN2A</recordid><startdate>20231102</startdate><enddate>20231102</enddate><creator>Makarious, Mary B</creator><creator>Lake, Julie</creator><creator>Pitz, Vanessa</creator><creator>Ye Fu, Allen</creator><creator>Guidubaldi, Joseph L</creator><creator>Solsberg, Caroline Warly</creator><creator>Bandres-Ciga, Sara</creator><creator>Leonard, Hampton L</creator><creator>Kim, Jonggeol Jeffrey</creator><creator>Billingsley, Kimberley J</creator><creator>Grenn, Francis P</creator><creator>Jerez, Pilar Alvarez</creator><creator>Alvarado, Chelsea X</creator><creator>Iwaki, Hirotaka</creator><creator>Ta, Michael</creator><creator>Vitale, Dan</creator><creator>Hernandez, Dena</creator><creator>Torkamani, Ali</creator><creator>Ryten, Mina</creator><creator>Hardy, John</creator><creator>Scholz, Sonja W</creator><creator>Traynor, Bryan J</creator><creator>Dalgard, Clifton L</creator><creator>Ehrlich, Debra J</creator><creator>Tanaka, Toshiko</creator><creator>Ferrucci, Luigi</creator><creator>Beach, Thomas G</creator><creator>Serrano, Geidy E</creator><creator>Real, Raquel</creator><creator>Morris, Huw R</creator><creator>Ding, Jinhui</creator><creator>Gibbs, J Raphael</creator><creator>Singleton, Andrew B</creator><creator>Nalls, Mike A</creator><creator>Bhangale, Tushar</creator><creator>Blauwendraat, Cornelis</creator><general>Oxford University Press</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0003-0232-8053</orcidid><orcidid>https://orcid.org/0000-0001-9520-6957</orcidid><orcidid>https://orcid.org/0000-0002-5473-3774</orcidid><orcidid>https://orcid.org/0000-0002-6623-0429</orcidid><orcidid>https://orcid.org/0000-0001-9358-8111</orcidid><orcidid>https://orcid.org/0000-0002-6273-1613</orcidid><orcidid>https://orcid.org/0000-0001-8117-742X</orcidid><orcidid>https://orcid.org/0000-0001-7049-6281</orcidid><orcidid>https://orcid.org/0000-0002-0637-3671</orcidid><orcidid>https://orcid.org/0000-0002-2623-5997</orcidid><orcidid>https://orcid.org/0000-0002-9527-2011</orcidid><orcidid>https://orcid.org/0000-0002-4161-3829</orcidid></search><sort><creationdate>20231102</creationdate><title>Large-scale rare variant burden testing in Parkinson's disease</title><author>Makarious, Mary B ; Lake, Julie ; Pitz, Vanessa ; Ye Fu, Allen ; Guidubaldi, Joseph L ; Solsberg, Caroline Warly ; Bandres-Ciga, Sara ; Leonard, Hampton L ; Kim, Jonggeol Jeffrey ; Billingsley, Kimberley J ; Grenn, Francis P ; Jerez, Pilar Alvarez ; Alvarado, Chelsea X ; Iwaki, Hirotaka ; Ta, Michael ; Vitale, Dan ; Hernandez, Dena ; Torkamani, Ali ; Ryten, Mina ; Hardy, John ; Scholz, Sonja W ; Traynor, Bryan J ; Dalgard, Clifton L ; Ehrlich, Debra J ; Tanaka, Toshiko ; Ferrucci, Luigi ; Beach, Thomas G ; Serrano, Geidy E ; Real, Raquel ; Morris, Huw R ; Ding, Jinhui ; Gibbs, J Raphael ; Singleton, Andrew B ; Nalls, Mike A ; Bhangale, Tushar ; Blauwendraat, Cornelis</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c421t-232071d83507afc3d15c6ecf23a402fe56dc1bb24d1be9d87e151a987ba2c9053</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Gene Frequency</topic><topic>Genetic Predisposition to Disease - genetics</topic><topic>Genome-Wide Association Study - methods</topic><topic>Humans</topic><topic>Original</topic><topic>Parkinson Disease - genetics</topic><topic>Receptors, Immunologic</topic><topic>Risk Factors</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Makarious, Mary B</creatorcontrib><creatorcontrib>Lake, Julie</creatorcontrib><creatorcontrib>Pitz, Vanessa</creatorcontrib><creatorcontrib>Ye Fu, Allen</creatorcontrib><creatorcontrib>Guidubaldi, Joseph L</creatorcontrib><creatorcontrib>Solsberg, Caroline Warly</creatorcontrib><creatorcontrib>Bandres-Ciga, Sara</creatorcontrib><creatorcontrib>Leonard, Hampton L</creatorcontrib><creatorcontrib>Kim, Jonggeol Jeffrey</creatorcontrib><creatorcontrib>Billingsley, Kimberley J</creatorcontrib><creatorcontrib>Grenn, Francis P</creatorcontrib><creatorcontrib>Jerez, Pilar Alvarez</creatorcontrib><creatorcontrib>Alvarado, Chelsea X</creatorcontrib><creatorcontrib>Iwaki, Hirotaka</creatorcontrib><creatorcontrib>Ta, Michael</creatorcontrib><creatorcontrib>Vitale, Dan</creatorcontrib><creatorcontrib>Hernandez, Dena</creatorcontrib><creatorcontrib>Torkamani, Ali</creatorcontrib><creatorcontrib>Ryten, Mina</creatorcontrib><creatorcontrib>Hardy, John</creatorcontrib><creatorcontrib>Scholz, Sonja W</creatorcontrib><creatorcontrib>Traynor, Bryan J</creatorcontrib><creatorcontrib>Dalgard, Clifton L</creatorcontrib><creatorcontrib>Ehrlich, Debra J</creatorcontrib><creatorcontrib>Tanaka, Toshiko</creatorcontrib><creatorcontrib>Ferrucci, Luigi</creatorcontrib><creatorcontrib>Beach, Thomas G</creatorcontrib><creatorcontrib>Serrano, Geidy E</creatorcontrib><creatorcontrib>Real, Raquel</creatorcontrib><creatorcontrib>Morris, Huw R</creatorcontrib><creatorcontrib>Ding, Jinhui</creatorcontrib><creatorcontrib>Gibbs, J Raphael</creatorcontrib><creatorcontrib>Singleton, Andrew B</creatorcontrib><creatorcontrib>Nalls, Mike A</creatorcontrib><creatorcontrib>Bhangale, Tushar</creatorcontrib><creatorcontrib>Blauwendraat, Cornelis</creatorcontrib><creatorcontrib>UK Brain Expression Consortium (UKBEC)</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Brain (London, England : 1878)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Makarious, Mary B</au><au>Lake, Julie</au><au>Pitz, Vanessa</au><au>Ye Fu, Allen</au><au>Guidubaldi, Joseph L</au><au>Solsberg, Caroline Warly</au><au>Bandres-Ciga, Sara</au><au>Leonard, Hampton L</au><au>Kim, Jonggeol Jeffrey</au><au>Billingsley, Kimberley J</au><au>Grenn, Francis P</au><au>Jerez, Pilar Alvarez</au><au>Alvarado, Chelsea X</au><au>Iwaki, Hirotaka</au><au>Ta, Michael</au><au>Vitale, Dan</au><au>Hernandez, Dena</au><au>Torkamani, Ali</au><au>Ryten, Mina</au><au>Hardy, John</au><au>Scholz, Sonja W</au><au>Traynor, Bryan J</au><au>Dalgard, Clifton L</au><au>Ehrlich, Debra J</au><au>Tanaka, Toshiko</au><au>Ferrucci, Luigi</au><au>Beach, Thomas G</au><au>Serrano, Geidy E</au><au>Real, Raquel</au><au>Morris, Huw R</au><au>Ding, Jinhui</au><au>Gibbs, J Raphael</au><au>Singleton, Andrew B</au><au>Nalls, Mike A</au><au>Bhangale, Tushar</au><au>Blauwendraat, Cornelis</au><aucorp>UK Brain Expression Consortium (UKBEC)</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Large-scale rare variant burden testing in Parkinson's disease</atitle><jtitle>Brain (London, England : 1878)</jtitle><addtitle>Brain</addtitle><date>2023-11-02</date><risdate>2023</risdate><volume>146</volume><issue>11</issue><spage>4622</spage><epage>4632</epage><pages>4622-4632</pages><issn>0006-8950</issn><eissn>1460-2156</eissn><abstract>Abstract
Parkinson’s disease has a large heritable component and genome-wide association studies have identified over 90 variants with disease-associated common variants, providing deeper insights into the disease biology. However, there have not been large-scale rare variant analyses for Parkinson’s disease.
To address this gap, we investigated the rare genetic component of Parkinson’s disease at minor allele frequencies <1%, using whole genome and whole exome sequencing data from 7184 Parkinson’s disease cases, 6701 proxy cases and 51 650 healthy controls from the Accelerating Medicines Partnership Parkinson's disease (AMP-PD) initiative, the National Institutes of Health, the UK Biobank and Genentech. We performed burden tests meta-analyses on small indels and single nucleotide protein-altering variants, prioritized based on their predicted functional impact.
Our work identified several genes reaching exome-wide significance. Two of these genes, GBA1 and LRRK2, have variants that have been previously implicated as risk factors for Parkinson’s disease, with some variants in LRRK2 resulting in monogenic forms of the disease. We identify potential novel risk associations for variants in B3GNT3, AUNIP, ADH5, TUBA1B, OR1G1, CAPN10 and TREML1 but were unable to replicate the observed associations across independent datasets. Of these, B3GNT3 and TREML1 could provide new evidence for the role of neuroinflammation in Parkinson’s disease. To date, this is the largest analysis of rare genetic variants in Parkinson’s disease.
Makarious et al. investigate the contribution of rare genetic variants, with minor allele frequencies <1%, to Parkinson’s disease risk. They confirm the known associations between rare variants in GBA1 and LRRK2 and Parkinson’s disease risk in individuals of European ancestry, and identify additional novel risk associations.</abstract><cop>US</cop><pub>Oxford University Press</pub><pmid>37348876</pmid><doi>10.1093/brain/awad214</doi><tpages>11</tpages><orcidid>https://orcid.org/0000-0003-0232-8053</orcidid><orcidid>https://orcid.org/0000-0001-9520-6957</orcidid><orcidid>https://orcid.org/0000-0002-5473-3774</orcidid><orcidid>https://orcid.org/0000-0002-6623-0429</orcidid><orcidid>https://orcid.org/0000-0001-9358-8111</orcidid><orcidid>https://orcid.org/0000-0002-6273-1613</orcidid><orcidid>https://orcid.org/0000-0001-8117-742X</orcidid><orcidid>https://orcid.org/0000-0001-7049-6281</orcidid><orcidid>https://orcid.org/0000-0002-0637-3671</orcidid><orcidid>https://orcid.org/0000-0002-2623-5997</orcidid><orcidid>https://orcid.org/0000-0002-9527-2011</orcidid><orcidid>https://orcid.org/0000-0002-4161-3829</orcidid><oa>free_for_read</oa></addata></record> |
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source | Oxford University Press Journals All Titles (1996-Current); MEDLINE; EZB-FREE-00999 freely available EZB journals; Alma/SFX Local Collection |
subjects | Gene Frequency Genetic Predisposition to Disease - genetics Genome-Wide Association Study - methods Humans Original Parkinson Disease - genetics Receptors, Immunologic Risk Factors |
title | Large-scale rare variant burden testing in Parkinson's disease |
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