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When more than one gene is responsible for a given phenotype, the trait is considered polygenic. Human height is a polygenic trait. Studies have uncovered hundreds of loci that influence height, and there are believed to be many more. Due to the high number of genes involved, as well as environmental and nutritional factors, height varies significantly within a given population. The distribution of height forms a bell-shaped curve, with relatively few individuals in the population at the...
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Schizophrenia, a severe psychiatric disorder, arises from a complex interplay of biological factors, including genetic predisposition, structural brain abnormalities, neurotransmitter dysregulation, and developmental irregularities. These factors collectively contribute to the onset and progression of the disorder, which typically manifests in late adolescence or early adulthood.
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Author Spotlight: Unveiling the Pathway Linking Obesity to Autoimmune Inflammation in Multiple Sclerosis
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Dissecting shared genetic architecture between obesity and multiple sclerosis.

Ruijie Zeng1, Rui Jiang2, Wentao Huang3

  • 1Department of Gastroenterology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou 510080, China.

Ebiomedicine
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Obesity and multiple sclerosis (MS) share genetic links, with body mass index (BMI) causally associated with MS risk. A shared risk gene, GGNBP2, was identified, offering insights into disease mechanisms.

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Area of Science:

  • Genetics
  • Immunology
  • Metabolic Disorders

Background:

  • Observational studies suggest a link between obesity and increased multiple sclerosis (MS) risk.
  • The genetic underpinnings of this comorbidity are not well understood.
  • This study investigates the shared genetic architecture of obesity and MS.

Purpose of the Study:

  • To determine the genetic correlation between body mass index (BMI) and MS.
  • To identify shared genetic risk factors and potential causal relationships.
  • To explore tissue and cell-type specific genetic enrichment.

Main Methods:

  • Genome-wide association study (GWAS) data was analyzed using linkage disequilibrium score regression and genetic covariance.
  • Bidirectional Mendelian randomization was employed to assess causality.
  • Cross-trait meta-analyses and summary-data-based Mendelian randomization (SMR) identified shared risk SNPs and genes.
  • Tissue and cell-type specific enrichment analyses were performed.

Main Results:

  • A significant positive genetic correlation was found between BMI and MS.
  • A causal association of BMI with MS was supported (β = 0.22, P = 8.03E-05).
  • 39 shared risk SNPs were identified, with GGNBP2 consistently implicated as a risk gene.
  • Tissue-specific heritability was enriched in brain tissues for BMI and immune-related tissues for MS.
  • GGNBP2 expression was significantly altered in tissues of individuals with obesity or MS.

Conclusions:

  • This study confirms a genetic correlation and identifies shared risk genes between obesity and MS.
  • Findings provide insights into the biological mechanisms underlying the comorbidity.
  • The identified shared genetic factors may inform future therapeutic strategies.