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Genome-wide Association Studies-GWAS01:11

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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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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.
Genetic Factors in Schizophrenia
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A single nucleotide polymorphism or SNP is a single nucleotide variation at a specific genomic position in a large population. It is the most prevalent type of sequence variation found in the human genome. Point mutations that occur in more than 1% of the population qualify as SNPs. These are present once every 1000 nucleotides on an average in the human genome. Replacement of a purine with another purine (A/G) or a pyrimidine with another pyrimidine (C/T) is known as a transition. In contrast,...
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Sequencing of the human genome has opened up several best-kept secrets of the genome. Scientists have identified thousands of genome variations that exist within a population. These variations can be a single nucleotide or a larger chromosomal variation.
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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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A Strategy to Identify de Novo Mutations in Common Disorders such as Autism and Schizophrenia
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Bayesian Rare Variant Analysis Identifies Novel Schizophrenia Putative Risk Genes.

Shengtong Han1

  • 1School of Dentistry, Marquette University, Milwaukee, WI 53201-1881, USA.

Journal of Personalized Medicine
|August 29, 2024
PubMed
Summary

Researchers identified 88 new candidate schizophrenia risk genes using a novel Bayesian method. This advances understanding of schizophrenia genetics and potential therapeutic targets.

Keywords:
MIRAGESCHEMArare variantsschizophrenia

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Area of Science:

  • Genetics
  • Psychiatry
  • Bioinformatics

Background:

  • Schizophrenia genetics are complex, involving common and rare variants.
  • Rare variant association studies are statistically challenging due to variant rarity.
  • Previous studies identified 10 risk genes, but more await discovery.

Purpose of the Study:

  • To identify novel schizophrenia risk genes using a powerful rare variant association method.
  • To leverage the Schizophrenia Exome meta-analysis (SCHEMA) dataset.
  • To explore the biological functions of newly identified candidate genes.

Main Methods:

  • Applied a recently developed Bayesian rare variant association method.
  • Analyzed the SCHEMA case-control sample.
  • Performed gene enrichment analysis (autism, Gene Ontology).

Main Results:

  • Identified 88 new candidate schizophrenia risk genes.
  • These genes are significantly enriched in autism risk genes.
  • Enrichment analysis revealed involvement in mechanosensory behavior, cell size regulation, and neuron projection morphogenesis.

Conclusions:

  • The Bayesian method effectively detects sparse rare risk variants for schizophrenia.
  • Newly identified genes offer novel insights into schizophrenia etiology.
  • These findings expand the landscape of schizophrenia genetic risk factors.