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Navigating MARRVEL, a Web-Based Tool that Integrates Human Genomics and Model Organism Genetics Information

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Human social genomics.

Steven W Cole¹

¹Department of Medicine, Division of Hematology-Oncology, UCLA School of Medicine, University of California, Los Angeles, Los Angeles, California, United States of America; Norman Cousins Center, University of California, Los Angeles, Los Angeles, California, United States of America; UCLA Molecular Biology Institute, University of California, Los Angeles, Los Angeles, California, United States of America; Jonsson Comprehensive Cancer Center, University of California, Los Angeles, Los Angeles, California, United States of America; UCLA AIDS Institute, University of California, Los Angeles, Los Angeles, California, United States of America.

|August 29, 2014

Summary

This summary is machine-generated.

Everyday social conditions impact human gene expression, influencing health. Research reveals a conserved transcriptional response to adversity (CTRA) and explores optimizing well-being through network genomics and biofeedback.

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Area of Science:

Genomics
Social Neuroscience
Health Sciences

Background:

Human social genomics investigates how life circumstances affect gene expression.
Social-environmental factors like urbanity, low SES, and social isolation alter gene expression in leukocytes and tissues.
Social adversity triggers a conserved transcriptional response to adversity (CTRA) in leukocytes.

Purpose of the Study:

To explore the influence of social-environmental conditions on human gene expression.
To understand the neural pathways mediating the conserved transcriptional response to adversity (CTRA).
To investigate opportunities for optimizing individual well-being through network genomics and transcriptional biofeedback.

Main Methods:

Analysis of gene expression in leukocytes and diseased tissues in response to social-environmental conditions.
Mapping of neural "social signal transduction" pathways.
Exploration of network genomics and transcriptional biofeedback for well-being optimization.

Main Results:

Social-environmental conditions are associated with differential expression of hundreds of gene transcripts.
CTRA involves increased expression of proinflammatory genes and decreased expression of antiviral/antibody genes.
Neural pathways linking social threat to CTRA and health gradients have been identified.

Conclusions:

Social adversity has a common, conserved transcriptional response impacting health.
Understanding these pathways can inform strategies for improving health and well-being.
Network genomics and biofeedback offer novel approaches to realizing genomic potential for thriving.