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Human Genetics01:28

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Human genetics provides a profound framework for understanding the interplay between genetic predispositions and human psychology. At the heart of this discipline lies the study of how genes influence physical traits, behaviors, and susceptibility to diseases. Each person carries a unique genetic code that subtly or significantly shapes their psychological and behavioral landscape.
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Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
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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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An Allele-specific Gene Expression Assay to Test the Functional Basis of Genetic Associations
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Gene-based association analysis identifies 190 genes affecting neuroticism.

Nadezhda M Belonogova1, Irina V Zorkoltseva1, Yakov A Tsepilov1,2

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This study identified 190 genes linked to neuroticism using gene-based analysis of UK Biobank data. Many of these genes, particularly those with protein-coding variants, are strong candidates for further research into psychiatric disorders.

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Area of Science:

  • Genetics
  • Psychiatry
  • Behavioral Science

Background:

  • Neuroticism is a key personality trait and risk factor for psychiatric disorders.
  • Previous genome-wide studies identified hundreds of genes potentially influencing neuroticism, but their mechanisms remain unclear.
  • Understanding the genetic underpinnings of neuroticism is crucial for advancing psychiatric research.

Purpose of the Study:

  • To conduct a detailed gene-based analysis to identify specific genes regulating neuroticism.
  • To differentiate the effects of within-gene variants from external genetic signals.
  • To prioritize candidate genes for neuroticism based on their functional properties.

Main Methods:

  • Utilized UK Biobank genome-wide association study (GWAS) summary statistics.
  • Performed gene-based association analysis using four sets of within-gene variants categorized by protein-coding properties.
  • Employed a "polygene pruning" procedure to mitigate the influence of external GWAS signals.
  • Conducted bioinformatics analysis to prioritize identified genes.

Main Results:

  • Identified 190 genes associated with neuroticism, specifically linked to within-gene variants.
  • Discovered 38 novel genes associated with neuroticism.
  • Distinguished two groups of genes based on protein-coding and non-coding variants, with the former containing potentially pathogenic variants.
  • Observed evidence of pleiotropy with gene expression for some genes in the non-coding variant group.

Conclusions:

  • Within-gene variants play a significant role in the genetic architecture of neuroticism.
  • Genes identified through this approach, especially those with protein-coding variants, represent promising candidates for understanding the biological mechanisms of neuroticism.
  • Further investigation into these prioritized genes can advance our understanding of psychiatric disorder etiology.