scholarly journals Analysis of heterozygous PRKN variants and copy number variations in Parkinson’s disease

Author(s):  
Eric Yu ◽  
Uladzislau Rudakov ◽  
Lynne Krohn ◽  
Kheireddin Mufti ◽  
Jennifer A. Ruskey ◽  
...  

AbstractImportanceBiallelic PRKN mutation carriers with Parkinson’s disease (PD) typically have an earlier disease onset, slow disease progression and, often, different neuropathology compared to sporadic patients. However, the role of heterozygous PRKN variants in the risk of PD remains unclear.ObjectiveTo examine the association between heterozygous PRKN variants, including single nucleotide variants and copy number variations (CNVs), and PD status.DesignThis case-control study was conducted in Canada using data from 4 centers in Canada, France, the United States and Israel, collected between 2013 and 2020.SettingMulticenter, population matched, unrelated participants.ParticipantsPD patients were compared with healthy controls. Participants were excluded if genetic data quality was poor, PRKN variants were biallelic, or relatedness was discovered. In total, 2,807 patients and 3,627 controls were recruited for the study. Data analyses were performed from January 2019 to March 2020.ExposureInheritance of heterozygous PRKN variants.Main Outcome(s) and Measure(s)PD was diagnosed by movement disorder specialists according to the UK Brain Bank Criteria or the Movement Disorder Society criteria. Targeted next-generation sequencing with molecular inversion probes and multiplex ligation-dependent probe amplification were used to detect rare variants and CNVs. These variants were examined with optimized sequence kernel association tests after accounting for potential pathogenicity. P values of optimized sequence kernel association tests between heterozygous PRKN variants and PD were measured.ResultsDNA of all participants were sequenced, including 1,903 late onset (mean [SD], 64.02±7.81 years, 1,196 men [63%]) and 542 early onset patients (mean [SD], 43.30±6.60, 368 men [68%]). Age at onset was not available for 349 patients. Carriers of two PRKN variants were excluded from the analysis. No associations were found between heterozygous variants and risk of PD. Pathogenic and likely pathogenic heterozygous variants and CNVs were less common among PD patients (1.0%) than among controls (1.3%).Conclusion and RelevanceThis study suggests that heterozygous variants and CNVs in PRKN are not associated with PD. Molecular inversion probes allow for rapid and cost-effective detection of all types of PRKN variants, which may be useful for pre-trial screening and for clinical and basic science studies specifically targeting PRKN patients.Key PointsQuestionAre rare heterozygous PRKN single nucleotide variants and copy number variations associated with Parkinson’s disease?FindingsIn this case-controls study including 2,807 patients and 3,627 controls, we found no significant association between rare heterozygous PRKN variants and risk of Parkinson’s disease.MeaningPRKN-associated parkinsonism is an autosomal recessive Mendelian disease, and based on our data, heterozygous carriers are not likely to be at increased risk of Parkinson’s disease.

2021 ◽  
Vol 11 (1) ◽  
pp. 33
Author(s):  
Nayoung Han ◽  
Jung Mi Oh ◽  
In-Wha Kim

For predicting phenotypes and executing precision medicine, combination analysis of single nucleotide variants (SNVs) genotyping with copy number variations (CNVs) is required. The aim of this study was to discover SNVs or common copy CNVs and examine the combined frequencies of SNVs and CNVs in pharmacogenes using the Korean genome and epidemiology study (KoGES), a consortium project. The genotypes (N = 72,299) and CNV data (N = 1000) were provided by the Korean National Institute of Health, Korea Centers for Disease Control and Prevention. The allele frequencies of SNVs, CNVs, and combined SNVs with CNVs were calculated and haplotype analysis was performed. CYP2D6 rs1065852 (c.100C>T, p.P34S) was the most common variant allele (48.23%). A total of 8454 haplotype blocks in 18 pharmacogenes were estimated. DMD ranked the highest in frequency for gene gain (64.52%), while TPMT ranked the highest in frequency for gene loss (51.80%). Copy number gain of CYP4F2 was observed in 22 subjects; 13 of those subjects were carriers with CYP4F2*3 gain. In the case of TPMT, approximately one-half of the participants (N = 308) had loss of the TPMT*1*1 diplotype. The frequencies of SNVs and CNVs in pharmacogenes were determined using the Korean cohort-based genome-wide association study.


Author(s):  
Valentina La Cognata ◽  
Velia D'Agata ◽  
Francesca Cavalcanti ◽  
Sebastiano Cavallaro

2020 ◽  
Vol 79 ◽  
pp. e28
Author(s):  
E. Yu ◽  
L. Krohn ◽  
U. Rudakov ◽  
K. Mufti ◽  
J.A. Ruskey ◽  
...  

2021 ◽  
Vol 6 (1) ◽  
Author(s):  
Lilia Romdhane ◽  
Nessrine Mezzi ◽  
Hamza Dallali ◽  
Olfa Messaoud ◽  
Jingxuan Shan ◽  
...  

AbstractCopy number variation (CNV) is considered as the most frequent type of structural variation in the human genome. Some CNVs can act on human phenotype diversity, encompassing rare Mendelian diseases and genomic disorders. The North African populations remain underrepresented in public genetic databases in terms of single-nucleotide variants as well as for larger genomic mutations. In this study, we present the first CNV map for a North African population using the Affymetrix Genome-Wide SNP (single-nucleotide polymorphism) array 6.0 array genotyping intensity data to call CNVs in 102 Tunisian healthy individuals. Two softwares, PennCNV and Birdsuite, were used to call CNVs in order to provide reliable data. Subsequent bioinformatic analyses were performed to explore their features and patterns. The CNV map of the Tunisian population includes 1083 CNVs spanning 61.443 Mb of the genome. The CNV length ranged from 1.017 kb to 2.074 Mb with an average of 56.734 kb. Deletions represent 57.43% of the identified CNVs, while duplications and the mixed loci are less represented. One hundred and three genes disrupted by CNVs are reported to cause 155 Mendelian diseases/phenotypes. Drug response genes were also reported to be affected by CNVs. Data on genes overlapped by deletions and duplications segments and the sequence properties in and around them also provided insights into the functional and health impacts of CNVs. These findings represent valuable clues to genetic diversity and personalized medicine in the Tunisian population as well as in the ethnically similar populations from North Africa.


Author(s):  
Eric Yu ◽  
Uladzislau Rudakou ◽  
Lynne Krohn ◽  
Kheireddin Mufti ◽  
Jennifer A. Ruskey ◽  
...  

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