TY - JOUR
T1 - Genome-Wide Analysis of Structural Variants in Parkinson Disease
AU - UK Brain Expression Consortium (UKBEC)
AU - Billingsley, Kimberley J.
AU - Ding, Jinhui
AU - Jerez, Pilar Alvarez
AU - Illarionova, Anastasia
AU - Levine, Kristin
AU - Grenn, Francis P.
AU - Makarious, Mary B.
AU - Moore, Anni
AU - Vitale, Daniel
AU - Reed, Xylena
AU - Hernandez, Dena
AU - Torkamani, Ali
AU - Ryten, Mina
AU - Hardy, John
AU - Chia, Ruth
AU - Scholz, Sonja W.
AU - Traynor, Bryan J.
AU - Dalgard, Clifton L.
AU - Ehrlich, Debra J.
AU - Tanaka, Toshiko
AU - Ferrucci, Luigi
AU - Beach, Thomas G.
AU - Serrano, Geidy E.
AU - Quinn, John P.
AU - Bubb, Vivien J.
AU - Collins, Ryan L.
AU - Zhao, Xuefang
AU - Walker, Mark
AU - Pierce-Hoffman, Emma
AU - Brand, Harrison
AU - Talkowski, Michael E.
AU - Casey, Bradford
AU - Cookson, Mark R.
AU - Markham, Androo
AU - Nalls, Mike A.
AU - Mahmoud, Medhat
AU - Sedlazeck, Fritz J.
AU - Blauwendraat, Cornelis
AU - Gibbs, J. Raphael
AU - Singleton, Andrew B.
N1 - Publisher Copyright:
© 2023 The Authors. Annals of Neurology published by Wiley Periodicals LLC on behalf of American Neurological Association. This article has been contributed to by U.S. Government employees and their work is in the public domain in the USA.
PY - 2023/5
Y1 - 2023/5
N2 - Objective: Identification of genetic risk factors for Parkinson disease (PD) has to date been primarily limited to the study of single nucleotide variants, which only represent a small fraction of the genetic variation in the human genome. Consequently, causal variants for most PD risk are not known. Here we focused on structural variants (SVs), which represent a major source of genetic variation in the human genome. We aimed to discover SVs associated with PD risk by performing the first large-scale characterization of SVs in PD. Methods: We leveraged a recently developed computational pipeline to detect and genotype SVs from 7,772 Illumina short-read whole genome sequencing samples. Using this set of SV variants, we performed a genome-wide association study using 2,585 cases and 2,779 controls and identified SVs associated with PD risk. Furthermore, to validate the presence of these variants, we generated a subset of matched whole-genome long-read sequencing data. Results: We genotyped and tested 3,154 common SVs, representing over 412 million nucleotides of previously uncatalogued genetic variation. Using long-read sequencing data, we validated the presence of three novel deletion SVs that are associated with risk of PD from our initial association analysis, including a 2 kb intronic deletion within the gene LRRN4. Interpretation: We identified three SVs associated with genetic risk of PD. This study represents the most comprehensive assessment of the contribution of SVs to the genetic risk of PD to date. ANN NEUROL 2023;93:1012–1022.
AB - Objective: Identification of genetic risk factors for Parkinson disease (PD) has to date been primarily limited to the study of single nucleotide variants, which only represent a small fraction of the genetic variation in the human genome. Consequently, causal variants for most PD risk are not known. Here we focused on structural variants (SVs), which represent a major source of genetic variation in the human genome. We aimed to discover SVs associated with PD risk by performing the first large-scale characterization of SVs in PD. Methods: We leveraged a recently developed computational pipeline to detect and genotype SVs from 7,772 Illumina short-read whole genome sequencing samples. Using this set of SV variants, we performed a genome-wide association study using 2,585 cases and 2,779 controls and identified SVs associated with PD risk. Furthermore, to validate the presence of these variants, we generated a subset of matched whole-genome long-read sequencing data. Results: We genotyped and tested 3,154 common SVs, representing over 412 million nucleotides of previously uncatalogued genetic variation. Using long-read sequencing data, we validated the presence of three novel deletion SVs that are associated with risk of PD from our initial association analysis, including a 2 kb intronic deletion within the gene LRRN4. Interpretation: We identified three SVs associated with genetic risk of PD. This study represents the most comprehensive assessment of the contribution of SVs to the genetic risk of PD to date. ANN NEUROL 2023;93:1012–1022.
UR - http://www.scopus.com/inward/record.url?scp=85147516311&partnerID=8YFLogxK
U2 - 10.1002/ana.26608
DO - 10.1002/ana.26608
M3 - Article
C2 - 36695634
AN - SCOPUS:85147516311
SN - 0364-5134
VL - 93
SP - 1012
EP - 1022
JO - Annals of Neurology
JF - Annals of Neurology
IS - 5
ER -