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Related Concept Videos

Brain Imaging01:14

Brain Imaging

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Brain imaging technologies provide critical insights into both the structure and function of the human brain, enabling medical professionals and researchers to diagnose, study, and treat neurological disorders or psychiatric disorders more effectively.
These technologies include computerized axial tomography (CAT or CT scans), positron-emission tomography (PET scans),  magnetic resonance imaging (MRI),  functional magnetic resonance imaging (fMRI), and Transcranial Magnetic...
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Super-variants identification for brain connectivity.

Ting Li1, Jianchang Hu1, Shiying Wang1

  • 1Department of Biostatistics, Yale University School of Public Health, New Haven, Connecticut, USA.

Human Brain Mapping
|November 25, 2020
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Summary
This summary is machine-generated.

Researchers identified novel "super-variants," combinations of genetic variants across the genome, that reliably associate with brain connectivity. This new approach aids in understanding genetic influences on brain function and discovering new genetic links to neurological conditions.

Keywords:
GWASUK Biobankbrian connectivity

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Area of Science:

  • Genetics
  • Neuroscience
  • Bioinformatics

Background:

  • Understanding genetic influences on brain connectivity is crucial for deciphering brain function.
  • Matrix-based phenotypes like brain connectivity present unique challenges for genetic association studies.
  • Existing methods struggle with the complexity of genetic associations for brain connectivity.

Purpose of the Study:

  • To introduce and validate the concept of 'super-variants' for detecting genetic associations with brain connectivity.
  • To test the hypothesis that super-variants offer more detectable and reproducible associations compared to single variants.
  • To identify novel genetic associations with brain connectivity using a large-scale dataset.

Main Methods:

  • Developed a novel ranking and aggregation method for genetic association detection.
  • Applied the method to UK Biobank data, comprising a discovery set (16,421 subjects) and a verification set (2,882 subjects).
  • Utilized a two-phase approach (discovery and verification) to ensure replicability of findings.

Main Results:

  • Discovered and verified 12 replicable super-variants located on multiple chromosomes.
  • Identified single nucleotide polymorphisms within these super-variants linked to 14 genes previously associated with brain function and disorders.
  • Uncovered novel loci in RSPO2 and TMEM74, potentially linked to brain issues.

Conclusions:

  • The 'super-variant' concept is a valid and powerful approach for genetic association studies of complex phenotypes like brain connectivity.
  • This method successfully unifies existing genetic findings and discovers novel, replicable associations.
  • The identified super-variants provide new insights into the genetic architecture of brain connectivity and its relation to neurological health.