Wednesday 3 August 2016

Solid Genetic link to Depression Found Thanks to “Massive Crowd-sourced Depression Study”

For a long time, the study of depression has been from a psychological perspective. Studies investigating the genetic aspects of mental illness have often rendered fruitless outcomes, over-ambitious results and rifts between communities of geneticists. However, recently published in Nature, a study including several datasets of human genomes support the strongest argument yet for a genetic association to Major Depressive Disorder.

Depression is a type of mental illness that can develop in any individual regardless of age, gender or lifestyle. Its exact workings remain a mystery, as each case of depression varies from individual to individual – just like cancer. General belief is that an imbalance of chemicals in the brain, including neurotransmitters, causes depression. As a result, “wrong” genes become expressed (or inhibited) inside cells and different areas of the brain end up functioning less or abnormally.

Research released in collaboration with genome-sequencing company 23andMe earlier this year has posed genetic links to MDD in adult Europeans. The business sells gene-test kits for less than £200, and are easy to obtain through it’s online store.

Until recently most data produced by the organisation was made for customers as a personal, entertaining insight into their ethnic heritages. As well as investigating their genetic miscellanies, users of the service can accept to release their genome for research within a multitude of studies.

The paper, lead by geneticist Dr. Ashley R. Winslow, is the largest study of it’s kind. The research uses a technique called Genome-wide Association Study. This is a commonly-used bioinformatical approach that takes the DNA of people suffering from a disease and compares it, base-by base, to healthy DNA genomes. In this case, the healthy genomes and the genomes of individuals with MDD both came from consenting-users of 23andMe.

Individuals gave important “self-report data” to the organisation, alongside their DNA submissions. Dr. Winslow’s team performed a meta-analysis, combining the 23andMe data with previous MDD association-study datasets. Using the self-reports the researchers confirmed a total of 75,607 individuals declaring some history of clinical depression. This group was transferred to a new dataset and compared to the 231,747 individuals that reported no personal history of depression.

After the comparative assessment, 5 stand-alone “variants” from 4 regions were identified as being unique between the two groups. Upon analysis of loci (their locations in the genome) the team uncovered 17 independent Single Nucleotide Polymorphisms/ mutations from 15 regions that seemed to have a large effect on the genome.
Note: the 17 SNPs were identified after loci with P values more than 1 x 10-5 were excluded.

In previous studies using whole genome sequences some of these loci had shown associations with psychiatric traits. This means that the regions aforementioned can be scrutinised in individuals to observe whether certain SNPs in these areas can increase the risk of MDD.

The paper aims to set a “diving-board” for more investigations into the biology of depression. As a large undertaking by Winslow et al., this novel study in the field has demonstrated the potential of larger collaborative datasets that are made publicly available. The results could also encourage second-glances at previous studies, such as Cai, Bigdeli, Kretzschmar & Li (2015), which pointed links between MDD and 2 loci in female Chinese populations.
Considering the future implications of public, crowdsourced genetic datasets it would not be unfair to suggest that we could begin to investigate the mechanics of these identified loci. New drugs could be synthesised that target the variants within these regions, and advanced methods of MDD detection could be a possibility. However, the latter may be a long way off. From what is known about its genetic association the risk of depression is down to mutations at hundreds of loci, each having a miniscule effect on the overall outcome.
What can definitely be said is that these findings are a positive re-enforcement, if not an affirmation, that mental illness does has a genetic factor. We now know even-more-so that lifestyle may not be a preventive or causative issue for the development of psychological disorders in some individuals.









References:

·       Winslow, A. R., Hyde, C. L., Nagle, M. W., Tian, C., Chen X., Paciga S. A., Wendland J. R., Tung J. Y., Hinds D. A., Perlis R. H. (2016) Identification of 15 genetic loci associated with risk of major depression in individuals of European descent, Nature. DOI: 10.1038/NG.3613

·                    日本語要約 (2015) Sparse whole-genome sequencing identifies two loci for major depressive disorder, Nature, 588-591. DOI: 10.1038/nature14659

·       “Study points way to finding genes affecting depression risk” – Malcom Ritter (09/2016)http://hosted.ap.org/dynamic/stories/U/US_MED_DEPRESSION_GENETICS?SITE=PASUN&SECTION=HOME&TEMPLATE=DEFAULT

·       “23andMe Pulls Off Massive Crowdsourced Depression Study” – Antonio Regalado (09/2016) https://www.technologyreview.com/s/602052/23andme-pulls-off-massive-crowdsourced-depression-study/


·          Harvard Health Publications http://www.health.harvard.edu/mind-and-mood/what-causes-depression

  • Image 1: http://www.wwu.edu/healthyliving/education/Depression/images/causesDNA.png
  • Image 2: https://upload.wikimedia.org/wikipedia/commons/thumb/e/ec/23andMe_logo.svg/2000px-23andMe_logo.svg.png

No comments:

Post a Comment