{"id":173769,"date":"2026-06-26T21:40:00","date_gmt":"2026-06-27T03:40:00","guid":{"rendered":"https:\/\/tecscience.tec.mx\/en\/?post_type=sciencecommunication&p=173769"},"modified":"2026-07-06T09:53:36","modified_gmt":"2026-07-06T15:53:36","slug":"parkinsons-disease-in-mexico","status":"publish","type":"sciencecommunication","link":"https:\/\/tecscience.tec.mx\/en\/science-communication\/parkinsons-disease-in-mexico\/","title":{"rendered":"The Genetic Architecture of Parkinson\u2019s Disease in Mexico"},"content":{"rendered":"\n

By\u00a0\u00d3scar Arias Carri\u00f3n<\/a><\/p>\n\n\n\n

Science often moves at two different speeds: the pace of technological acceleration, which promises immediate answers, and the pace of conceptual maturity, which requires researchers to rethink questions before concluding. The genetics of Parkinson\u2019s disease in Mexico clearly belongs to the latter.<\/p>\n\n\n\n

It does not emerge from a single groundbreaking discovery, but rather from the patient construction of a long-awaited body of evidence.<\/p>\n\n\n\n

For more than two decades, the genetic architecture of Parkinson\u2019s disease has been defined largely through European cohorts. This bias, rarely questioned in the early stages, shaped how researchers understood genetic risk, the functional relevance of genetic variants, and ultimately, the biology of the disease itself.<\/p>\n\n\n\n

The implicit assumption\u2014that genetic determinants identified in one fraction of human diversity could be universally applied\u2014began to show limitations as population genomics gained greater resolution.<\/p>\n\n\n\n

Mexico represents a scientifically unique setting. Its demographic history has produced a genetic mosaic shaped by the interaction of Indigenous, European, and African ancestries, with patterns of linkage disequilibrium and allele frequencies that do not necessarily align with traditional reference models.<\/p>\n\n\n\n

In this context, the lack of systematic reviews of genetic studies conducted in the country represented both a gap in the literature and a limitation in interpretation.<\/p>\n\n\n\n

The Mexican genetic mosaic<\/h2>\n\n\n\n

The review The genetic architecture of Parkinson’s disease in Mexico: a systematic review<\/em><\/a><\/em> brings together original research conducted between 2004 and 2025 in cohorts recruited in Mexico, providing the first critical map of this fragmented body of knowledge.<\/p>\n\n\n\n

The value of the study lies not only in the number of participants analyzed, but also in its methodological standardization, harmonization of genetic nomenclature, and explicit assessment of the quality of the included studies.<\/p>\n\n\n\n

The emerging picture confirms, while also refining the global genetic framework of Parkinson\u2019s disease in Mexico. Variants in PRKN (parkin)<\/strong> are recurrent contributors in early-onset cases.<\/p>\n\n\n\n

The identification of biallelic mutations and exon rearrangements at relevant frequencies within clinically defined subgroups reinforces the central role of mitochondrial quality-control mechanisms. PRKN<\/strong> and PINK1<\/strong>, whose functional interaction has been extensively characterized in cellular and animal models, reappear as detectable genetic factors in younger patients.<\/p>\n\n\n\n

Even more revealing is the consistency of certain absences. The p.G2019S mutation in LRRK2<\/strong>, one of the most recognized markers in European studies, is consistently reported as absent or exceptionally rare in the Mexican cohorts reviewed.<\/p>\n\n\n\n

Rather than being a minor observation, this finding highlights a fundamental principle of population genetics: the clinical relevance of a variant depends on its demographic context. Molecular biology is universal; its distribution is not.<\/p>\n\n\n\n

The GBA1<\/strong> gene provides an instructive contrast. The association between the p.L444P<\/strong> variant and increased risk appears consistent with international findings, suggesting that some disease pathways related to lysosomal function are conserved. However, the absence of p.N370S<\/strong>\u2014a variant common in other populations\u2014reminds us that genetic heterogeneity is not the exception, but the rule.<\/p>\n\n\n\n

Parkinson\u2019s disease does not arise from a single mutational blueprint, but from combinations shaped by evolutionary history and population structure.<\/p>\n\n\n\n

In SNCA<\/strong>, the focus shifts toward regulatory variants. The recurrence of intronic polymorphisms associated with disease across multiple Mexican cohorts aligns with a contemporary view of genetic risk: small changes that affect gene expression regulation can have cumulative effects comparable to, or even greater than, those of rare coding mutations.<\/p>\n\n\n\n

\"\"
Gene\u2013biological pathway interaction network of Parkinson\u2019s disease\u2013associated genes identified in Mexican cohorts.<\/strong> This network shows the functional relationships among the genes reported in 25 studies on Parkinson\u2019s disease in Mexico. Colors indicate responses to oxidative stress (orange), mitochondrial homeostasis (purple), glycosphingolipid metabolism (light green), proteasomal and ubiquitin-mediated degradation (green), dopaminergic neurogenesis (yellow), one-carbon metabolism (cyan), lipid particle composition and synaptic vesicle cycling (pink), MAPK signaling (dark green), \u03b4-secretase-related neurodegenerative pathways (red), and HDAC6-mediated interactions in the central nervous system (blue). The network reveals that many genes linked to Parkinson\u2019s disease in Mexico affect similar cellular processes, including energy production, waste recycling, neuronal communication, and dopamine regulation\u2014all of which are associated with the disease. Figure adapted from The genetic architecture of Parkinson\u2019s disease in Mexico: a systematic review<\/em>.<\/figcaption><\/figure>\n\n\n\n

Genes, Variants, and Parkinson\u2019s Risk<\/h2>\n\n\n\n

Modern Parkinson\u2019s genetics is gradually moving away from a Mendelian determinism model toward one based on polygenic susceptibility and transcriptomic regulation.<\/p>\n\n\n\n

Genes such as APOE, MTHFR, SYT11, and NR4A2<\/strong> are emerging within a framework of risk modification or potential protection. Although sample sizes and methodological heterogeneity prevent robust quantitative conclusions, the functional convergence is notable.<\/p>\n\n\n\n

Taken together, these findings point to a network of biological processes related to metabolism, neuronal communication, and dopamine regulation\u2014mechanisms that current models link to the development of neurodegenerative diseases.<\/p>\n\n\n\n

Perhaps the study\u2019s most relevant contribution lies in its interpretive caution. The review documents substantial variability in methodological quality, statistical power, and analytical strategies. It explicitly acknowledges the limited incorporation of genetic ancestry modeling in original studies, avoiding the temptation to label findings as \u201cancestry-specific\u201d without formal evidence. This caution is not rhetorical conservatism; it is epistemological rigor.<\/p>\n\n\n\n

Contemporary medical genetics faces a dual challenge. On one hand, it must expand the representation of populations that have historically been understudied. On the other, it must resist simplistic interpretations that confuse biological diversity with sociopolitical categories. Mexico is not a \u201cgenetic exception,\u201d but rather a reminder that every human population is the dynamic product of migrations, admixture, and evolutionary contingencies.<\/p>\n\n\n\n

The implications extend beyond Parkinson\u2019s disease. Risk models derived from European cohorts cannot be assumed to automatically apply across populations. Genetic susceptibility estimates require validation in diverse population contexts. Ultimately, personalized medicine strategies depend on data that reflect real human variation\u2014not just a historically privileged fraction of it.<\/p>\n\n\n\n

The study points toward an unavoidable scientific agenda: larger cohorts, population-scale genomic studies, multi-omics integration (the combination of different types of biological data, such as genes, proteins, and metabolites), longitudinal analyses, and explicit ancestry modeling. Not as an abstract academic aspiration, but as a necessary condition for achieving a more precise biological understanding.<\/p>\n\n\n\n

Parkinson\u2019s disease, like many complex disorders, cannot be reduced to a single gene or a defining mutation. It emerges from interactions among molecular networks, vulnerable cellular processes, and unique life trajectories. Genetics does not determine destiny; it shapes probabilities.<\/p>\n\n\n\n

\"\"
Gene\u2013biological process interaction map of Parkinson\u2019s disease\u2013associated loci in Mexican populations.<\/strong> The colors indicate responses to oxidative stress (pink), neuronal death pathways (yellow), dopaminergic system signaling (teal), autophagy and cellular recycling (blue), secretion regulation (purple), transport regulation (light green), and folate metabolism (light green; tetrahydrofolate interconversion). Figure adapted from The genetic architecture of Parkinson\u2019s disease in Mexico: a systematic review<\/em>.<\/figcaption><\/figure>\n\n\n\n

Within this space of probabilities, the systematic review of Parkinson\u2019s genetics in Mexico introduces something fundamentally scientific: conceptual clarity. It organizes the evidence, acknowledges its limitations, identifies plausible biological convergences, and, above all, redefines the legitimate scope of our conclusions.<\/p>\n\n\n\n

At a time when biomedicine oscillates between technological enthusiasm and media-driven overinterpretation, this type of research serves a deeper purpose. It does not promise immediate certainty. Instead, through methodological rigor, it builds the foundation for future questions to be more precise than those we ask today.<\/p>\n\n\n\n

<\/p>\n\n\n\n

<\/p>\n\n\n\n

Reference<\/h5>\n\n\n\n

Arias-Carri\u00f3n O, Romero-Guti\u00e9rrez E, Castellanos-Ju\u00e1rez FX, Sandoval-Carrillo AA and Salas-Pacheco JM (2026).\u00a0The genetic architecture of Parkinson\u2019s disease in Mexico: a systematic review<\/a>. Front. Aging Neurosci. 18:1709246. <\/p>\n\n\n\n

Author<\/h5>\n\n\n\n

\u00d3scar Arias Carri\u00f3n<\/a>. Dean of Graduate Studies and Researcher at the School of Medicine and Health Sciences at Tecnol\u00f3gico de Monterrey. He is a physician-scientist, author, editor, and mentor specializing in Parkinson\u2019s genetics, neuromodulation, and translational medicine. Guest columnist at TecScience<\/a>.
<\/em><\/p>\n\n\n\n

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