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Enrichment of rare variants in nuclear-encoded mitochondrial metabolism genes in patients with early-onset or familial parkinson’s disease
ID
Bergant, Gaber
(
Author
),
ID
Van Midden, Vesna M.
(
Author
),
ID
Tsygankova, Polina
(
Author
),
ID
Laslo, Dorian
(
Author
),
ID
Rački, Valentino
(
Author
),
ID
Georgiev, Dejan
(
Author
),
ID
Papić, Eliša
(
Author
),
ID
Branković, Marija
(
Author
),
ID
Janković, Milena
(
Author
),
ID
Svetel, Marina
(
Author
),
ID
Teran, Nataša
(
Author
),
ID
Dragasević Misković, Natasa
(
Author
),
ID
Petrović, Igor N.
(
Author
),
ID
Maver, Aleš
(
Author
),
ID
Novaković, Ivana
(
Author
),
ID
Pirtošek, Zvezdan
(
Author
),
ID
Rakuša, Martin
(
Author
),
ID
Vuletić, Vladimira
(
Author
),
ID
Peterlin, Borut
(
Author
)
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https://www.mdpi.com/2073-4425/17/4/472
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Abstract
Introduction: Parkinson’s disease (PD) is a prevalent neurodegenerative disorder, with several proposed pathogenic mechanisms. Given the established role of mitochondrial dysfunction in PD, this study seeks to investigate the enrichment of rare genetic variants tied to mitochondrial metabolism in cases of early-onset and familial PD. Methods: We performed a retrospective analysis on 248 early-onset and familial PD patients and 1622 control individuals. We assessed both pathway-level and gene-level burden of germline rare variants detected using exome sequencing in 467 nuclear genes related to mitochondrial metabolism. Results: Gene-set mutation burden analysis indicated an increased burden in genes associated with mtDNA maintenance. In addition, gene-level analysis identified a possible association between PD and rare variant burden in 14 mitochondrial metabolism-related genes under dominant or recessive inheritance models. Conclusions: Our findings support a potential contribution of rare germline variants affecting mitochondrial metabolism to the susceptibility in early-onset and familial PD.
Language:
English
Keywords:
mitochondrial metabolism
,
mitochondrial variants
,
mutation burden analysis
Work type:
Article
Typology:
1.01 - Original Scientific Article
Organization:
FRI - Faculty of Computer and Information Science
MF - Faculty of Medicine
Publication status:
Published
Publication version:
Version of Record
Year:
2026
Number of pages:
8 str.
Numbering:
Vol. 17, iss. 4
PID:
20.500.12556/RUL-185147
UDC:
616.858
ISSN on article:
2073-4425
DOI:
10.3390/genes17040472
COBISS.SI-ID:
276781571
Publication date in RUL:
24.07.2026
Views:
134
Downloads:
58
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Title:
Genes
Shortened title:
Genes
Publisher:
MDPI
ISSN:
2073-4425
COBISS.SI-ID:
523100185
Licences
License:
CC BY 4.0, Creative Commons Attribution 4.0 International
Link:
http://creativecommons.org/licenses/by/4.0/
Description:
This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.
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