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Beyond Single Variants: A Pathway-Based Approach to Explore the Genetic Basis of Memory.

Daan van Beek1, Martina Kutmon1, Theo de Kok1,2

  • 1Maastricht Centre for Systems Biology and Bioinformatics (MaCSBio), Maastricht University, 6229 EN, Maastricht, Netherlands.

Molecular Neurobiology
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Summary
This summary is machine-generated.

Identifying genetic factors for memory is hard due to complex traits. This study used a novel approach with lower significance thresholds and pathway analysis to find shared biological mechanisms underlying memory performance.

Keywords:
Episodic memoryGWASHuman Connectome ProjectMemoryNetwork biologyPathway analysis

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Area of Science:

  • Neuroscience
  • Genetics
  • Bioinformatics

Background:

  • Memory is vital for daily function but its genetic basis is complex.
  • Identifying specific genetic variants for memory is challenging due to the polygenic nature of the trait.
  • Conventional genome-wide association studies (GWAS) often lack power for complex traits, especially with smaller, deeply phenotyped cohorts.

Purpose of the Study:

  • To investigate the genetic architecture of memory performance using a novel approach.
  • To identify candidate genes and biological pathways associated with different types of memory.
  • To explore shared biological mechanisms underlying memory across distinct memory tests.

Main Methods:

  • Conducted three independent genome-wide association studies (GWAS) on verbal episodic memory, visual episodic memory, and verbal working memory within the Human Connectome Project.
  • Employed a less stringent p-value threshold combined with variant mapping and functional annotation using tools like FUMA, Cytoscape, KEGG, Reactome, and WikiPathways.
  • Analyzed results at the pathway level to identify overlapping biological signals across memory tests and with previous research.

Main Results:

  • Pathway-level analysis revealed substantial overlap across the three memory tests and with prior findings, suggesting shared biological mechanisms.
  • Identified several genes and pathways previously linked to memory disorders, cognition, neurodevelopment, and neurological dysfunction.
  • No significant overlap was observed at the single variant or gene level, highlighting the utility of pathway-based analysis.

Conclusions:

  • The proposed approach, combining relaxed significance thresholds with pathway analysis, effectively identifies shared biological mechanisms for complex traits like memory.
  • The identified pathways reflect common biological underpinnings of memory performance.
  • This openly accessible pipeline offers a valuable tool for exploring the genetic basis of other complex polygenic traits.