The Genetic Triggers of Depression

A recent study from University of Edinburgh aims to pinpoint genes that may be associated with depression

16 Apr 2018
Eileen Bernadette Moran
Marketing / Sales

Industry news

Nearly 80 genes that could be linked to depression have been discovered by researchers from University of Edinburgh. The findings could help explain why some people may be at a higher risk of developing the condition, researchers say. The study could also help researchers develop therapeutics to tackle mental ill-health.

Depression affects one in five people in the UK every year and is the leading cause of disability worldwide. Life events – such as trauma or stress – can contribute to its onset, but it is not clear why some people are more likely to develop the condition than others.

Researchers led by the University of Edinburgh analyzed data from UK Biobank – a research resource containing health and genetic information for half a million people. They scanned the genetic code of 300,000 people to identify areas of DNA that could be linked to depression.

Some of the pinpointed genes are known to be involved in the function of synapses, small connectors that allow neurons to communicate with each other through electrical and chemical signals. Researchers then confirmed their findings by examining anonymized data held by the personal genetics and research company 23andMe, used with the donors’ consent. The study, published in Nature Communications, was funded by Wellcome as part of Stratifying Resilience and Depression Longitudinally, a £4.7 million project to better understand the condition.

Professor Andrew McIntosh of the University of Edinburgh’s Centre for Clinical Brain Sciences, who leads the Edinburgh-based research group, said: “Depression is a common and often severe condition that affects millions of people worldwide. These new findings help us better understand the causes of depression and show how the UK Biobank study and big data research has helped advance mental health research.

“We hope that the UK’s growing health data research capacity will help us to make major advances in our understanding of depression in coming years.”

Receive the latest news on clinical diagnostics straight to your inbox. Become a free member today.

Links

Tags

Genome AnalysisGenomics, the study of genomes, includes functional genomics, evolutionary genomics and comparative genomics. There are many genomic technologies such as DNA sequencing of whole genomes, computational biology and bioinformatics. DNA and nucleic acids must be isolated and concentrated from cells for analysis with kits, automated analyzers and software. Other useful technologies for studying genomics include PCR, microarrays and electrophoresis.Data AnalysisData analysis hardware and software is available to make data processing straight-forward yet powerful. Data software can be used for math and stats, technical graphing and image analysis. In addition, software is available for specific data analysis of electrophoresis, densitometry, ELISA and DNA sequencing.Data MiningData mining is an important process for extracting information, patterns and trends from data. Data mining software, databases, reference materials and storage packages are available to process lab data.BiomarkersBiomarkers are biological markers which can be measured and evaluated to indicate a biological state. The use of biomarkers in research and diagnosis can indicate a normal or disease state or drug response of cells / tissues. Biomarkers include genetic markers, cell surface markers such as antigens, antibodies or receptors and secreted molecules such as cytokines. An assay system is required for identification of biomarkers. :Clinical GeneticsMolecular Genetics covers the analysis of hereditary genetic disease and chromosomal abnormalities. Genetics can be analysed using DNA, RNA, and protein microarrays, PCR, RT PCR and DNA sequencing. Genetic equipment includes genetic workstations, thermal cyclers, cooling blocks and electrophoresis products. Diagnostic kits are used for DNA / RNA extraction and purification.BioinformaticsBioinformatics uses computational models and methodologies to study biological processes and to understand biological data.DepressionClinical StudyProspective biomedical or behavioral research studies on human subjects, following tests in animals, that are designed to answer specific questions about novel vaccines, drugs, treatments, dietary supplements, devices or new ways of using known interventions, generating safety and efficacy data.Clinical Genetics