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Related Concept Videos

Brain Imaging01:14

Brain Imaging

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.
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Human Genetics01:28

Human Genetics

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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Pharmacogenomics: Identification of New Drug Targets

Advances in genomics have profoundly influenced drug discovery by increasing both the speed and accuracy of pharmaceutical development. Pharmacogenomics, which examines how genetic variation influences drug response, facilitates the identification of novel therapeutic targets and enables patient stratification for personalized treatment. These strategies contribute to improved drug efficacy, minimized adverse effects, and more efficient clinical trial design.Mapping genetic differences...

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Neuroimaging endophenotypes: strategies for finding genes influencing brain structure and function.

David C Glahn1, Paul M Thompson, John Blangero

  • 1Department of Psychiatry and Research Imaging Center, University of Texas Health Science Center San Antonio, San Antonio, Texas, USA. glahn@uthscsa.edu

Human Brain Mapping
|April 19, 2007
PubMed
Summary

Identifying genetic causes of brain disorders like autism and schizophrenia is crucial. Neuroimaging endophenotypes offer a promising approach to pinpointing genetic links to these complex conditions.

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Area of Science:

  • Neuroscience
  • Genetics
  • Psychiatry

Background:

  • Complex brain disorders like autism, dementia, mood disorders, and schizophrenia have unclear genetic underpinnings.
  • Traditional diagnostic systems and inherent genetic/phenotypic complexity hinder gene discovery.

Purpose of the Study:

  • To review the feasibility of using neuroimaging endophenotypes for identifying genetic determinants of brain disorders.
  • To explore how quantitative brain measures can improve gene discovery and understand genetic liability.

Main Methods:

  • Reviewing neuroanatomic and neuropsychological measures as potential endophenotypes.
  • Examining genetically influenced indices of brain structure and function.
  • Discussing genetic strategies utilizing quantitative traits, including neuroimaging data.

Main Results:

  • Neuroimaging endophenotypes (quantitative brain measures) are feasible for indexing genetic liability.
  • These endophenotypes can significantly enhance gene discovery for brain-related disorders.
  • Genetically influenced brain measures offer insights into the systems neuroscience of illness.

Conclusions:

  • Neuroimaging endophenotypes represent a powerful tool for unraveling the genetic architecture of complex brain disorders.
  • Utilizing quantitative traits from brain imaging can advance our understanding of the genetic basis of neurological and psychiatric conditions.