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[Preprint]. 2025 Jul 18:2025.07.18.25331793.
doi: 10.1101/2025.07.18.25331793.

Genotype-phenotype association study conducted on LARGE-PD reveals novel loci associated with Parkinson's Disease

Thiago P Leal  1 Emily Waldo  1 Felipe Duarte-Zambrano  1   2 Miguel Inca-Martinez  1 Janvi Ramchandra  1 Henry Mauricio Chaparro-Solano  1 Anna E Anello  1 Victor Borda  3   4 Mateus Henrique Gouveia  5 Daniel Teixeira-Dos-Santos  6 Paula Reyes-Pérez  7 Emilia Mabel Gatto  8 Bruno Lopes Santos-Lobato  9   10 Gracivane Eufraseo  11 Grace Helena Letro  12   13 Gonzalo Arboleda  14   15 Oscar Bernal-Pacheco  16   17   18 Jorge L Orozco  19   20 Beatriz Munoz  21   20 Pedro Chana-Cuevas  22 David Aguillon  23 Sonia Moreno  23 Gabriel Torrealba-Acosta  24 Tanya Lobo-Prada  25 Valentina Muller  26   27 C Matias Lopez Razquin  26 Pedro Braga-Neto  28 Reyna M Durón  29 Mayela Rodríguez-Violante  30 Ana Jimena Hernández-Medrano  30 Amin Cervantes-Arriaga  30 Daniel Martinez-Ramirez  31 Artur F S Schuh  32   33 Carlos Roberto de Mello Rieder  34 Mario Cornejo-Olivas  35   36 Julia Rios-Pinto  37 Angel C Medina  38   39 Ivan Cornejo-Herrera  40 Koni Mejia-Rojas  41   42 Angel Vinuela  43 Vitor Tumas  44 Angela Vieira Pimentel  44 Vanderci Borges  45 Cesar L Avila  46   47 Patricio Olguin  48   49 Alicia Colombo  50   51 Juan Cristobal Nuñez  52   53 Alejandra Medina-Rivera  54 Alejandra E Ruiz-Contreras  55 Sarael Alcauter  56 Elena Dieguez  57   58 Karen Nuytemans  59   60 Global Parkinson’s Genetics ProgramIgnacio F Mata  1   61
Affiliations

Genotype-phenotype association study conducted on LARGE-PD reveals novel loci associated with Parkinson's Disease

Thiago P Leal et al. medRxiv. .

Abstract

Background: The Latin American Research Consortium on the Genetics of Parkinson's Disease (LARGE-PD) is a multicenter collaboration aimed at understanding the genetic architecture of Parkinson's disease (PD) in this underrepresented population using data from 15 countries across the Americas and the Caribbean. In this study, we conducted the largest genome-wide association studies (GWAS) for PD susceptibility in Latin Americans.

Methods: We analyzed genotype data from LARGE-PD Phase 1 (n = 1,498) and Phase 2 (n = 4,401) using multiple GWAS approaches: SAIGE, which incorporates a genetic relationship matrix in the model; ATT, which includes global ancestry on the model; TRACTOR, which splits allele dosages by ancestry to detect ancestry-specific risk loci; and admixture mapping. We also assessed linkage disequilibrium (LD) patterns and performed Meta-Regression of Multi-AncEstry Genetic Association (MR-MEGA), integrating data from both LARGE-PD phases and two South Asian GWAS.

Results: We identified PD-associated loci on chromosomes 1 and 4. Our results replicated previous findings, including the well-established SNCA variant rs356182-A (OR = 1.517, p = 1.62×10-16). Notably, we identified a locus in ITPKB (rs117185933-A, OR = 1.75, p = 3.8×10-12), which had the highest CADD Phred score (17.92, top ~3% most deleterious) among all candidate variants, suggesting strong functional relevance. Functional annotation predicted that this variant may create a premature start codon in the 5' UTR of ITPKB. Although rs117185933-A is in high LD (r2 > 0.8) with a variant previously reported by Kishore et al., our LD analysis and MR-MEGA results indicate that this signal is correlated with ancestry heterogeneity and likely represents an independent PD risk locus and a novel putative causal variant. This variant is most frequent in Peruvians from the 1000 Genomes Project (MAF = 0.20) and more common in admixed American populations in gnomAD (MAF = 0.0835), but nearly absent in non-Finnish Europeans (MAF = 0.0002).

Conclusion: We identified PD-associated variants in SNCA and ITPKB, the latter not previously reported in European-ancestry studies. The ITPKB variant may lead to a start codon gain in a gene with known protective effects against α-synuclein aggregation in vivo and in vitro models. These findings underscore the critical importance of including underrepresented populations in genetic research to uncover ancestry-specific risk loci and advance precision medicine for Parkinson's disease.

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Conflict of interest statement

Conflict of interest Mayela Rodríguez-Violante has received honoraria from Ferrer and Zydus, and educational grants from Medtronic and Boston Scientific. All other authors declare that there are no conflicts of interest.

Figures

Figure 1:
Figure 1:
Global ancestry analysis of LARGE-PD Phase 2 using supervised ADMIXTURE. (A) Bar plot for LARGE-PD Phase 1 with the proportions of African (AFR), European (EUR), East Asian (EAS), South Asian (SAS), and Native American (NAT) ancestry clusters. Percentages of continental ancestry stratified by cases (solid lines) and controls (dashed lines) for samples from Phase 1 and 2 for (B) LARGE-PD South America, (C) LARGE-PD North America, (D) LARGE-PD Central America and Caribbean. Arrows on the map indicate the geographic locations of the cohorts from which the samples were collected. (E) Bar plot for LARGE-PD Phase 2 with the proportions of AFR, EUR, EAS, SAS, and NAT ancestry clusters. Site names are listed in the Supplementary Information, Section Cohort Description. Cohort sample sizes are provided in Supplementary Table S1.
Figure 2:
Figure 2:
Manhattan plots from random-effects genome-wide association meta-analysis (GWAMA) of LARGE-PD Phase 1 and 2 cohorts for (A) SAIGE, (B) ATT, and (C) TRACTOR results for Native American ancestry meta-analysis. Each plot shows –log10(p) values across the genome; horizontal lines indicate genome-wide suggestive (1e-5) and statistical significance (5e-8) thresholds.

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