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Fine-mapping genomic loci refines bipolar disorder risk genes
Maria Koromina1,2,3, Ashvin Ravi3,4,5,6, Georgia Panagiotaropoulou7
1Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Medrxiv : the Preprint Server for Health Sciences
|February 26, 2024
Summary
Researchers identified 17 causal single nucleotide polymorphisms (SNPs) for bipolar disorder (BD) by analyzing genetic risk loci. This advances understanding of BD
Area of Science:
- Genetics and Genomics
- Neuroscience
- Psychiatry
Background:
- Bipolar disorder (BD) is a heritable mental illness with a complex genetic basis.
- Previous genome-wide association studies identified 64 BD risk loci, but causal single nucleotide polymorphisms (SNPs) and genes remain unknown.
Purpose of the Study:
- To identify causal SNPs and genes associated with bipolar disorder within known risk loci.
- To investigate the functional consequences of these genetic variants in the brain.
- To improve polygenic risk score performance for bipolar disorder.
Main Methods:
- Applied statistical and functional fine-mapping methods to 64 BD risk loci.
- Integrated variant annotations, brain cell-type epigenomic data, and quantitative trait loci (eQTLs).
- Utilized rare variant exome sequencing data and a high-throughput fine-mapping pipeline.
Main Results:
- Prioritized 17 likely causal SNPs for bipolar disorder.
- Mapped SNPs to genes involved in neurotransmission and neurodevelopment (e.g., SCN2A, TRANK1, SYNE1).
- Demonstrated that fine-mapping improves polygenic risk score performance across diverse populations.
Conclusions:
- Identified novel candidate genes and SNPs implicated in bipolar disorder pathogenesis.
- These findings provide targets for functional studies to elucidate biological mechanisms.
- The developed fine-mapping pipeline can accelerate genetic discovery in complex diseases.
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