2021
DOI: 10.1002/ana.26153
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Characterizing the Genetic Architecture of Parkinson's Disease in Latinos

Abstract: Objective This work was undertaken in order to identify Parkinson's disease (PD) risk variants in a Latino cohort, to describe the overlap in the genetic architecture of PD in Latinos compared to European‐ancestry subjects, and to increase the diversity in PD genome‐wide association (GWAS) data. Methods We genotyped and imputed 1,497 PD cases and controls recruited from nine clinical sites across South America. We performed a GWAS using logistic mixed models; variants with a p‐value <1 × 10−5 were tested in a … Show more

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Cited by 70 publications
(93 citation statements)
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References 64 publications
(150 reference statements)
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“…This includes whole-genome sequencing (WGS) data from admixed individuals of the 1000 Genomes Project ( 1000 Genomes Project Consortium, Auton et al, 2015 ) [African Americans from Southwest United States (ASW); African Caribbeans from Barbados (ACB); individuals of Mexican ancestry from Los Angeles, United States (MXL); Puerto Ricans from Puerto Rico (PUR); and Colombians from Medellin (CLM)], as well as WGS data from individuals of the TOPMED Project ( Taliun et al, 2021 ) (individuals from the Dominican Republic and Cuba from HCHS/SOL cohort, and individuals from Costa Rica from CRA cohort) and the Peruvian Genome Project ( Harris et al, 2018 ). We also included genotype array data from the LARGE-PD Project ( Loesch et al, 2020 ) (individuals from Brazil, Colombia, Chile, and Uruguay), two Brazilian EPIGEN population-based cohorts ( Kehdy et al, 2015 ) (individuals from Salvador and Bambui), and from admixed and Native American individuals of the Peruvian Genome Project ( Harris et al, 2018 ; Borda et al, 2020 ). All these datasets were generated from different sources ( Supplementary Table 1 ) but include the –13910C > T SNP (rs4988235).…”
Section: Methodsmentioning
confidence: 99%
“…This includes whole-genome sequencing (WGS) data from admixed individuals of the 1000 Genomes Project ( 1000 Genomes Project Consortium, Auton et al, 2015 ) [African Americans from Southwest United States (ASW); African Caribbeans from Barbados (ACB); individuals of Mexican ancestry from Los Angeles, United States (MXL); Puerto Ricans from Puerto Rico (PUR); and Colombians from Medellin (CLM)], as well as WGS data from individuals of the TOPMED Project ( Taliun et al, 2021 ) (individuals from the Dominican Republic and Cuba from HCHS/SOL cohort, and individuals from Costa Rica from CRA cohort) and the Peruvian Genome Project ( Harris et al, 2018 ). We also included genotype array data from the LARGE-PD Project ( Loesch et al, 2020 ) (individuals from Brazil, Colombia, Chile, and Uruguay), two Brazilian EPIGEN population-based cohorts ( Kehdy et al, 2015 ) (individuals from Salvador and Bambui), and from admixed and Native American individuals of the Peruvian Genome Project ( Harris et al, 2018 ; Borda et al, 2020 ). All these datasets were generated from different sources ( Supplementary Table 1 ) but include the –13910C > T SNP (rs4988235).…”
Section: Methodsmentioning
confidence: 99%
“…The new era of PD genetics holds promise. Genetic studies conducted in underrepresented populations have started to emerge [55][56][57] as well as consortium setups [58] (GP2, https://www.gp2.org/, accessed on 20 September 2021) with programs strongly focused on increasing diversity in PD research so that the applications of genetic discoveries can be extrapolated to the entire population. As a result, an important analytical approach in our field will be the implementation of trans-ethnic GWAS meta-analysis, such as GWAMA [57] and MANTRA [59], that will allow us to combine genetic information from different ancestries to further delineate the etiology of this complex disease.…”
Section: The New Era Of Parkinson's Disease Genetics: Increasing Knowledge About Disease Etiologymentioning
confidence: 99%
“…In addition, the lead SNP is a variant in SNCA, as would be expected given prior PD GWAS results. 3,6 To validate the GWAS-significant PRS and the PRS-full, we tested both models in a cohort of 448 Latinos provided by the IPDGC. The GWAS-significant model had an AUC of 0.665 with a balanced accuracy of 59.6%, a sensitivity of 61.3% and a specificity of 60.0% (see Table 1).…”
Section: Pd Prs Validationmentioning
confidence: 99%
“…4 Diversity in PD research is increasing: Foo et al 2020 have conducted the largest study of PD patients with East Asian ancestry 5 and our group has conducted the largest study of South American PD patients. 6 Outside of risk variant and disease-gene discovery, a primary use of GWAS is to generate summary statistics for the purpose of risk prediction using polygenic risk scores (PRS). A PRS is the linear summation of disease risk variants weighted by their regression effect size and has been shown to improve disease risk prediction.…”
Section: Introductionmentioning
confidence: 99%
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