TY - JOUR
T1 - Identification of sixteen novel candidate genes for late onset Parkinson’s disease
AU - International Parkinson's Disease Genomics Consortium (IPDGC)
AU - Gialluisi, Alessandro
AU - Reccia, Mafalda Giovanna
AU - Modugno, Nicola
AU - Nutile, Teresa
AU - Lombardi, Alessia
AU - Di Giovannantonio, Luca Giovanni
AU - Pietracupa, Sara
AU - Ruggiero, Daniela
AU - Scala, Simona
AU - Gambardella, Stefano
AU - Noyce, Alastair J.
AU - Kaiyrzhanov, Rauan
AU - Middlehurst, Ben
AU - Kia, Demis A.
AU - Tan, Manuela
AU - Houlden, Henry
AU - Morris, Huw R.
AU - Plun-Favreau, Helene
AU - Holmans, Peter
AU - Hardy, John
AU - Trabzuni, Daniah
AU - Quinn, John
AU - Bubb, Vivien
AU - Mok, Kin Y.
AU - Kinghorn, Kerri J.
AU - Billingsley, Kimberley
AU - Wood, Nicholas W.
AU - Lewis, Patrick
AU - Schreglmann, Sebastian
AU - Lovering, Ruth
AU - R’Bibo, Lea
AU - Manzoni, Claudia
AU - Rizig, Mie
AU - Ryten, Mina
AU - Guelfi, Sebastian
AU - Escott-Price, Valentina
AU - Chelban, Viorica
AU - Foltynie, Thomas
AU - Williams, Nigel
AU - Morrison, Karen E.
AU - Clarke, Carl
AU - Brice, Alexis
AU - Danjou, Fabrice
AU - Lesage, Suzanne
AU - Corvol, Jean Christophe
AU - Martinez, Maria
AU - Schulte, Claudia
AU - Brockmann, Kathrin
AU - Lubbe, Steven
AU - Mencacci, Niccolo E.
N1 - Publisher Copyright:
© 2021, The Author(s).
PY - 2021/12
Y1 - 2021/12
N2 - Background: Parkinson’s disease (PD) is a neurodegenerative movement disorder affecting 1–5% of the general population for which neither effective cure nor early diagnostic tools are available that could tackle the pathology in the early phase. Here we report a multi-stage procedure to identify candidate genes likely involved in the etiopathogenesis of PD. Methods: The study includes a discovery stage based on the analysis of whole exome data from 26 dominant late onset PD families, a validation analysis performed on 1542 independent PD patients and 706 controls from different cohorts and the assessment of polygenic variants load in the Italian cohort (394 unrelated patients and 203 controls). Results: Family-based approach identified 28 disrupting variants in 26 candidate genes for PD including PARK2, PINK1, DJ-1(PARK7), LRRK2, HTRA2, FBXO7, EIF4G1, DNAJC6, DNAJC13, SNCAIP, AIMP2, CHMP1A, GIPC1, HMOX2, HSPA8, IMMT, KIF21B, KIF24, MAN2C1, RHOT2, SLC25A39, SPTBN1, TMEM175, TOMM22, TVP23A and ZSCAN21. Sixteen of them have not been associated to PD before, were expressed in mesencephalon and were involved in pathways potentially deregulated in PD. Mutation analysis in independent cohorts disclosed a significant excess of highly deleterious variants in cases (p = 0.0001), supporting their role in PD. Moreover, we demonstrated that the co-inheritance of multiple rare variants (≥ 2) in the 26 genes may predict PD occurrence in about 20% of patients, both familial and sporadic cases, with high specificity (> 93%; p = 4.4 × 10− 5). Moreover, our data highlight the fact that the genetic landmarks of late onset PD does not systematically differ between sporadic and familial forms, especially in the case of small nuclear families and underline the importance of rare variants in the genetics of sporadic PD. Furthermore, patients carrying multiple rare variants showed higher risk of manifesting dyskinesia induced by levodopa treatment. Conclusions: Besides confirming the extreme genetic heterogeneity of PD, these data provide novel insights into the genetic of the disease and may be relevant for its prediction, diagnosis and treatment.
AB - Background: Parkinson’s disease (PD) is a neurodegenerative movement disorder affecting 1–5% of the general population for which neither effective cure nor early diagnostic tools are available that could tackle the pathology in the early phase. Here we report a multi-stage procedure to identify candidate genes likely involved in the etiopathogenesis of PD. Methods: The study includes a discovery stage based on the analysis of whole exome data from 26 dominant late onset PD families, a validation analysis performed on 1542 independent PD patients and 706 controls from different cohorts and the assessment of polygenic variants load in the Italian cohort (394 unrelated patients and 203 controls). Results: Family-based approach identified 28 disrupting variants in 26 candidate genes for PD including PARK2, PINK1, DJ-1(PARK7), LRRK2, HTRA2, FBXO7, EIF4G1, DNAJC6, DNAJC13, SNCAIP, AIMP2, CHMP1A, GIPC1, HMOX2, HSPA8, IMMT, KIF21B, KIF24, MAN2C1, RHOT2, SLC25A39, SPTBN1, TMEM175, TOMM22, TVP23A and ZSCAN21. Sixteen of them have not been associated to PD before, were expressed in mesencephalon and were involved in pathways potentially deregulated in PD. Mutation analysis in independent cohorts disclosed a significant excess of highly deleterious variants in cases (p = 0.0001), supporting their role in PD. Moreover, we demonstrated that the co-inheritance of multiple rare variants (≥ 2) in the 26 genes may predict PD occurrence in about 20% of patients, both familial and sporadic cases, with high specificity (> 93%; p = 4.4 × 10− 5). Moreover, our data highlight the fact that the genetic landmarks of late onset PD does not systematically differ between sporadic and familial forms, especially in the case of small nuclear families and underline the importance of rare variants in the genetics of sporadic PD. Furthermore, patients carrying multiple rare variants showed higher risk of manifesting dyskinesia induced by levodopa treatment. Conclusions: Besides confirming the extreme genetic heterogeneity of PD, these data provide novel insights into the genetic of the disease and may be relevant for its prediction, diagnosis and treatment.
KW - Late onset Parkinson’s disease
KW - Novel candidate genes for Parkinson’s disease
KW - Rare variant burden analysis
KW - Whole exome sequencing
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U2 - 10.1186/s13024-021-00455-2
DO - 10.1186/s13024-021-00455-2
M3 - Article
C2 - 34148545
AN - SCOPUS:85108675143
SN - 1750-1326
VL - 16
JO - Molecular neurodegeneration
JF - Molecular neurodegeneration
IS - 1
M1 - 35
ER -