scholarly journals Integrated Sequencing & Array Comparative Genomic Hybridization in Familial Parkinson’s Disease

2019 ◽  
Author(s):  
Laurie A. Robak ◽  
Renqian Du ◽  
Bo Yuan ◽  
Shen Gu ◽  
Isabel Alfradique-Dunham ◽  
...  

AbstractBackgroundParkinson’s disease (PD) is a genetically heterogeneous condition; both single nucleotide variants (SNVs) and copy number variants (CNVs) are important genetic risk factors. We examined the utility of combining exome sequencing and genome-wide array-based comparative genomic hybridization (aCGH) for identification of PD genetic risk factors.MethodsWe performed exome sequencing on 110 subjects with PD and a positive family history; 99 subjects were also evaluated using genome-wide aCGH. We interrogated exome sequencing and array comparative genomic hybridization data for pathogenic SNVs and CNVs at Mendelian PD gene loci. SNVs were confirmed via Sanger sequencing. CNVs were confirmed with custom-designed high-density aCGH, droplet digital PCR, and breakpoint sequencing.ResultsUsing exome sequencing, we discovered individuals with known pathogenic single nucleotide variants in GBA (p.E365K, p.T408M, p.N409S, p.L483P) and LRRK2 (p.R1441G and p.G2019S). Two subjects were each double heterozygotes for variants in GBA and LRRK2. Based on aCGH, we additionally discovered cases with an SNCA duplication and heterozygous intragenic GBA deletion. Five additional subjects harbored both SNVs (p.N52fs, p.T240M, p.P437L, p.W453*) and likely disrupting CNVs at the PARK2 locus, consistent with compound heterozygosity. In nearly all cases, breakpoint sequencing revealed microhomology, a mutational signature consistent with CNV formation due to DNA replication errors.ConclusionsIntegrated exome sequencing and aCGH yielded a genetic diagnosis in 19.3% of our familial PD cohort. Our analyses highlight potential mechanisms for SNCA and PARK2 CNV formation, uncover multilocus pathogenic variation, and identify novel SNVs and CNVs for further investigation as potential PD risk alleles.


2020 ◽  
Vol 6 (5) ◽  
pp. e498 ◽  
Author(s):  
Laurie A. Robak ◽  
Renqian Du ◽  
Bo Yuan ◽  
Shen Gu ◽  
Isabel Alfradique-Dunham ◽  
...  

ObjectiveTo determine how single nucleotide variants (SNVs) and copy number variants (CNVs) contribute to molecular diagnosis in familial Parkinson disease (PD), we integrated exome sequencing (ES) and genome-wide array-based comparative genomic hybridization (aCGH) and further probed CNV structure to reveal mutational mechanisms.MethodsWe performed ES on 110 subjects with PD and a positive family history; 99 subjects were also evaluated using genome-wide aCGH. We interrogated ES and aCGH data for pathogenic SNVs and CNVs at Mendelian PD gene loci. We confirmed SNVs via Sanger sequencing and further characterized CNVs with custom-designed high-density aCGH, droplet digital PCR, and breakpoint sequencing.ResultsUsing ES, we discovered individuals with known pathogenic SNVs in GBA (p.Glu365Lys, p.Thr408Met, p.Asn409Ser, and p.Leu483Pro) and LRRK2 (p.Arg1441Gly and p.Gly2019Ser). Two subjects were each double heterozygotes for variants in GBA and LRRK2. Based on aCGH, we additionally discovered cases with an SNCA duplication and heterozygous intragenic GBA deletion. Five additional subjects harbored both SNVs (p.Asn52Metfs*29, p.Thr240Met, p.Pro437Leu, and p.Trp453*) and likely disrupting CNVs at the PRKN locus, consistent with compound heterozygosity. In nearly all cases, breakpoint sequencing revealed microhomology, a mutational signature consistent with CNV formation due to DNA replication errors.ConclusionsIntegrated ES and aCGH yielded a genetic diagnosis in 19.3% of our familial PD cohort. Our analyses highlight potential mechanisms for SNCA and PRKN CNV formation, uncover multilocus pathogenic variation, and identify novel SNVs and CNVs for further investigation as potential PD risk alleles.



Head & Neck ◽  
2015 ◽  
Vol 38 (S1) ◽  
pp. E783-E797
Author(s):  
Vui King Vincent-Chong ◽  
Iman Salahshourifar ◽  
Rozaimi Razali ◽  
Arif Anwar ◽  
Rosnah Binti Zain


Genetics ◽  
2009 ◽  
Vol 181 (4) ◽  
pp. 1673-1677 ◽  
Author(s):  
Jason S. Maydan ◽  
H. Mark Okada ◽  
Stephane Flibotte ◽  
Mark L. Edgley ◽  
Donald G. Moerman


Blood ◽  
2009 ◽  
Vol 113 (1) ◽  
pp. 137-148 ◽  
Author(s):  
K.-John J. Cheung ◽  
Sohrab P. Shah ◽  
Christian Steidl ◽  
Nathalie Johnson ◽  
Thomas Relander ◽  
...  

Abstract The secondary genetic events associated with follicular lymphoma (FL) progression are not well defined. We applied genome-wide BAC array comparative genomic hybridization to 106 diagnostic biopsies of FL to characterize regional genomic imbalances. Using an analytical approach that defined regions of copy number change as intersections between visual annotations and a Hidden Markov model–based algorithm, we identified 71 regional alterations that were recurrent in at least 10% of cases. These ranged in size from approximately 200 kb to 44 Mb, affecting chromosomes 1, 5, 6, 7, 8, 10, 12, 17, 18, 19, and 22. We also demonstrated by cluster analysis that 46.2% of the 106 cases could be sub-grouped based on the presence of +1q, +6p/6q−, +7, or +18. Survival analysis showed that 21 of the 71 regions correlated significantly with inferior overall survival (OS). Of these 21 regions, 16 were independent predictors of OS using a multivariate Cox model that included the international prognostic index (IPI) score. Two of these 16 regions (1p36.22-p36.33 and 6q21-q24.3) were also predictors of transformation risk and independent of IPI. These prognostic features may be useful to identify high-risk patients as candidates for risk-adapted therapies.





Gene ◽  
2012 ◽  
Vol 506 (1) ◽  
pp. 248-252 ◽  
Author(s):  
Seung-Hun Song ◽  
Sung Han Shim ◽  
Jeong Kyoon Bang ◽  
Ji Eun Park ◽  
Se Ra Sung ◽  
...  




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