Knockoff-Based Fine Mapping of MS-Associated SNPs in Sardinian Trios
- PMID: 40884622
- DOI: 10.1007/s10528-025-11238-5
Knockoff-Based Fine Mapping of MS-Associated SNPs in Sardinian Trios
Abstract
Genetic predisposition plays a key role in autoimmune and complex diseases such as multiple sclerosis (MS). However, identifying the specific variants or genomic regions responsible for disease susceptibility remains a significant challenge. In this study a family-based fine mapping approach was applied to analyze 142 trios, aiming to identify associated genetic variants linked to MS. The targeted genomic region resides within the 17:30,820,506-32,483,270 bp (Ch37/hg19), which includes the protein-coding gene ASIC2, previously implicated in MS and other neurological conditions, with surrounding genes comprising strongly correlated genetic variants to capture the broader signal from the region. Given the high prevalence of MS in Sardinia and the unique genetic characteristics of the Sardinian population, including reduced heterogeneity and extended linkage disequilibrium, we designed our study specifically within this population and focused on family-based data to enhance the power for detecting genetic signals, avoiding false discoveries. Genotype imputation found 2537 variants, which were then analyzed using the knockoff Trio method to identify loci associated with MS susceptibility. We found rs756787 (3'UTR of MYO1D) increased disease risk (OR 1.57, 95% CI [1.07-2.29], p = 0.02), while rs56175840 (intronic ASIC2) showed a protective effect (OR 0.17, 95% CI [0.04-0.74], p = 0.02), demonstrating the power of knockoff-based fine mapping in family datasets. Integrating LD-based expression and trait analyses helped reveal how rs756787 correlates with variants affecting genes involved in neurodegeneration and the immune response to Epstein-Barr virus, a known environmental factor implicated in MS pathogenesis. Our study highlights the effectiveness of knockoff-based fine mapping combined with expression-trait integration to identify genetic variants influencing MS risk in the Sardinian population.
Keywords: Complex disease; Family-based design; Fine mapping; Knockoff genotypes; Multiple sclerosis.
© 2025. The Author(s).
Conflict of interest statement
Declarations. Conflict of interests: The authors declare no competing interests. Ethical Approval: The ethical approval has been obtained to analyze these genotypes. Patients were recruited for the project FP7- 305280, as part of the HEALTH-2012-INNOVATION scheme, and by FISM—Fondazione Italiana Sclerosi Multipla (Cod. 2009//R//2) and by Fondazione Cariplo (Grant No. 2009-2528). This study was performed in accordance with the ethical standards as laid down in the 1964 Declaration of Helsinki and its later amendments or comparable ethical standards. Informed Consent: Informed consent was obtained from all subjects involved in the study. Confidential patient data will be handled according to European Union General Data Protection Regulation and maintained in accordance with the privacy guidelines of the hospital. Patient Consent for Publication: All the patients gave their consent to disseminate research results also through scientific publications.
References
-
- Ao C, Li C, Chen J, Tan J, Zeng L (2022) The role of Cdk5 in neurological disorders. Front Cell Neurosci 16:951202. https://doi.org/10.3389/fncel.2022.951202 - DOI - PubMed - PMC
-
- Baldrighi GN, Nova A, Bernardinelli L, Fazia T (2022) A pipeline for phasing and genotype imputation on mixed human data (parents-offspring trios and unrelated subjects) by reviewing current methods and software. Life (Basel). https://doi.org/10.3390/life12122030 - DOI - PubMed
-
- Bates S, Candès E, Janson L, Wang W (2019) Metropolized knockoff sampling. J Am Stat Assoc. https://doi.org/10.1080/01621459.2020.1729163 - DOI
-
- Battaglia MA, Bezzini D (2017) Estimated prevalence of Multiple Sclerosis in Italy in 2015. Neurol Sci 38:473–479. https://doi.org/10.1007/s10072-016-2801-9 - DOI - PubMed
-
- Boyle AP, Hong EL, Hariharan M, Cheng Y, Schaub MA, Kasowski M, Karczewski KJ, Park J, Hitz BC, Weng S et al (2012) Annotation of functional variation in personal genomes using RegulomeDB. Genome Res 22:1790–1797. https://doi.org/10.1101/gr.137323.112 - DOI - PubMed - PMC
LinkOut - more resources
Full Text Sources
Research Materials
