Thyroid function and amyotrophic lateral sclerosis: a mendelian randomization study
Jacobs, E. D.; Akinade, A. T.; Obere, C. M.
Show abstract
BackgroundAmyotrophic lateral sclerosis (ALS) is a rare, progressive neurodegenerative disorder causing motor neuron degeneration, muscle paralysis, and death within 3-5 years, with a rising global prevalence. While thyroid dysfunction is implicated in the pathology of other neurodegenerative diseases, its role in ALS remains unclear due to conflicting reports from observational studies. To address this, we aimed to investigate the causal relationship between thyroid function and ALS using two-sample Mendelian Randomization (MR). MethodWe performed a two-sample MR study to evaluate the bidirectional causal relationship between thyroid function traits (TSH, FT4, autoimmune hyperthyroidism, autoimmune hypothyroidism) and ALS. We used SNPs from GWAS data (TSH and FT4: n=271,040; autoimmune hyperthyroidism: n=1,828 cases/279,855 controls; autoimmune hypothyroidism: n=40,926 cases/274,069 controls; ALS: n=27,205 cases/110,881 controls). We applied the inverse-variance weighted (IVW) method as the primary analysis, with sensitivity analyses (MR-Egger, weighted median, weighted mode, MR-PRESSO) to assess pleiotropy and heterogeneity. ResultsWe identified a causal effect of autoimmune hyperthyroidism on reducing ALS risk (IVW OR = 0.96; 95% CI: 0.93-0.99; P = 0.03), but no associations for TSH (IVW OR = 0.99; 95% CI: 0.94-1.04; P = 0.71), FT4 (IVW OR = 1.03; 95% CI: 0.96-1.12; P = 0.36), or autoimmune hypothyroidism (IVW OR = 1.01; 95% CI: 0.98-1.05; P = 0.39) with ALS. Bidirectional analysis of genetic liability to ALS showed no causal effect on TSH (IVW OR = 0.98; 95% CI: 0.96-1.01; P = 0.65), FT4 (IVW OR = 0.98; 95% CI: 0.94-1.02; P = 0.46), autoimmune hypothyroidism (IVW OR = 0.93; 95% CI: 0.76-1.13; P = 0.59), or autoimmune hyperthyroidism (IVW OR = 1.01; 95% CI: 0.76-1.33; P = 0.78). ConclusionWe found that genetic predisposition to autoimmune hyperthyroidism may reduce ALS risk. Our findings expand the knowledge of its genetic underpinnings and lay a foundation for future research into therapeutic strategies targeting thyroid function to mitigate ALS risk.
Matching journals
The top 12 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Validation of Serum Neurofilaments as Prognostic & Potential Pharmacodynamic Biomarkers for ALS 89%
- Exploring the Role of Plasma Lipids and Statins Interventions on Multiple Sclerosis Risk and Severity: A Mendelian Randomization Study 88%
- Novel associations of BST1 and LAMP3 with rapid eye movement sleep behavior disorder 87%
Similar papers in this journal
- Metabolic and muscle-derived serum biomarkers define CHCHD10-linked late-onset spinal muscular atrophy 89%
- Alpha-Linolenic Acid Associations with Disability and Brain Volume in Multiple Sclerosis: A Brief Replication Report 88%
- The Canadian Collaborative Project on Genetic Susceptibility to Multiple Sclerosis cohort population structure and disease etiology 88%
Similar papers in this journal
- Metal mixtures associate with higher amyotrophic lateral sclerosis risk and mortality independent of genetic risk and correlate to self-reported exposures: a case-control study 91%
- The oligogenic structure of amyotrophic lateral sclerosis has genetic testing, counselling, and therapeutic implications 91%
- Low lymphocyte count is a risk factor for Parkinsons disease 87%
Similar papers in this journal
Similar papers in this journal
- Repeat length increases disease penetrance and severity in C9orf72 ALS/FTD BAC transgenic mice 89%
- Genomic dissection of 43 serum urate-associated loci provides multiple insights into molecular mechanisms of urate control. 89%
- Familial ALS/FTD-associated RNA-Binding deficient TDP-43 mutants cause neuronal and synaptic transcript dysregulation in vitro 88%
"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.