Neuropeptide S as a potential risk locus for migraine in the Portuguese population
De Marco, R.; Pucci, K.; Santos, M.; Gil-Gouveia, R.; Cavadas, B.; Sousa, A.; Alves-Ferreira, M.; Azevedo, L.; Lemos, C.; Dias, A.
Show abstract
ObjectiveThe most common forms of migraine are complex disorders characterized by significant clinical diversity. The genetic basis of migraine has been the subject of many studies but remains largely unknown. We present the first pilot genome-wide association study (GWAS) integrating a polygenic risk score (PRS) in the Portuguese population, designed to identify migraine susceptibility risk loci through a case-control study, in order to unravel population-specific variants. MethodsGenotyping was conducted on 380 individuals using the Applied Biosystems Axiom PMDA array. A vast dataset of 8,031,293 single-nucleotide polymorphisms (SNPs) was available, providing a comprehensive scope for GWAS analysis. PRS models were created and tested on subsets of the genotyping data, and the optimal statistical significance threshold was assessed. ResultsWe detected nine risk loci corresponding to nine lead SNPs (ZNF385D, YTHDF3, NPS, RAP1A/INKA2, CTA-481E9.4/CTA-481E9.3, AC092079.1, PPHLN1, SMYD3 and AL355597.1 (near ADARB2)). Additionally, eleven variants, without any previous association to pathogenicity in migraine, were highlighted by the chosen PRS model. Among our results, a new locus within the NPS gene, representing a novel association with migraine, is a potential new target directly related to recent and effective migraine treatments. ConclusionsThese findings reinforce the importance of neurotransmitter release and synaptic transmission, as well as the involvement of vascular components, in migraine pathophysiology. This work underscores that GWAS can provide novel, clinically valuable insights into populational and disease-associated genetic landscapes, enabling therapeutic developments and bolstering personalized medicine strategies.
Matching journals
The top 9 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Altered gene expression profiles impair the nervous system development in individuals with 15q13.3 microdeletion 92%
- Identification of ultra-rare genetic variants in Pediatric Acute Onset Neuropsychiatric Syndrome (PANS) by exome and whole genome sequencing 92%
- Transcriptomic Analysis of Human Sensory Neurons in Painful Diabetic Neuropathy Reveals Inflammation and Neuronal Loss 91%
Similar papers in this journal
- Genome-wide association study of COVID-19 Breakthrough Infections and genetic overlap with other diseases: A study of the UK Biobank 92%
- Identification of ATP2B4 regulatory element containing functional genetic variants associated with severe malaria 91%
- Whole exome sequencing in multi-incident families identifies novel candidate genes for multiple sclerosis 91%
Similar papers in this journal
- Cold Receptor TRPM8 as a target for Migraine-associated Pain and Affective Comorbidities 94%
- Major sex differences in migraine prevalence among occupational categories: a cross-sectional study using UK Biobank 92%
- The Effect of P2X7 Antagonism on Subcortical Spread of Optogenetically-Triggered Cortical Spreading Depression and Neuroinflammation 91%
Similar papers in this journal
- Vitamin D, chronic pain, and depression: linear and non-linear Mendelian randomization analyses 90%
- Polygenic risk score-based phenome-wide association study identifies novel associations for Tourette syndrome 90%
- Multi-omics profiling of DNA methylation and gene expression alterations in human cocaine use disorder 90%
Similar papers in this journal
- Machine prescription for chronic migraine 91%
- The genetic background of hydrocephalus in a population-based cohort: implication of ciliary involvement 90%
- Excitation/Inhibition balance relates to cognitive function and gene expression in Temporal Lobe Epilepsy: an hdEEG assessment with aperiodic exponent 90%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.