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2000
Volume 22, Issue 3
  • ISSN: 1567-2050
  • E-ISSN: 1875-5828

Abstract

Introduction

Previous studies have shown a correlation between neurodegenerative diseases and cancers. However, the biological processes for these diseases are not completely known, and the genetic factors for their onset are not defined.

Materials and Methods

This study reports the genetic relationships of different neurodegenerative diseases, such as Multiple Sclerosis (MS), Alzheimer's Disease (AD), and Parkinson's disease (PD) and cancer types (squamous cell lung carcinoma, esophageal adenocarcinoma, and colorectal cancer), with other human traits, based on cross-trait Linkage Disequilibrium Score regression (LDSC). We then applied a clumping approach to select candidate genes for each disease, and an miRNA analysis, we identified miRNAs that could regulate those genes.

Results

LDSC revealed an inverse association of human traits with neurodegenerative diseases and cancer. Indeed, the cancer types studied were positively correlated with “Body Mass Index (BMI),” while AD, PD, and MS showed a negative correlation. miR-1-3p, miR-34a-5p, and miR-27a-3p were revealed as common biomarkers among the different pathological conditions.

Conclusion

The present study suggests novel genetic associations between neurological diseases, cancer types and new targets to explain the genetic sharing between the diseases.

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/content/journals/car/10.2174/0115672050389561250429112631
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Investigating the Relationships Between Neurodegenerative Diseases and Cancer Types: A Computational Approach
Curr Alzheimer Res 22, 232 (2025); https://doi.org/10.2174/0115672050389561250429112631
/content/journals/car/10.2174/0115672050389561250429112631
/content/journals/car/10.2174/0115672050389561250429112631
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Supplementary material is available on the publisher’s website along with the published article. Supplementary Table : UKB traits with SNP-heritability z-score > 4. Supplementary Table : Genetic correlations.

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  • Article Type:     Research Article
Keyword(s): cancer; genome analysis; miRNA; multiple sclerosis; Neurodegenerative diseases; pathological conditions

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