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A continuum of genetic liability for minor and major depression

Overview of attention for article published in Translational Psychiatry, May 2017
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Title
A continuum of genetic liability for minor and major depression
Published in
Translational Psychiatry, May 2017
DOI 10.1038/tp.2017.99
Pubmed ID
Authors

E C Corfield, Y Yang, N G Martin, D R Nyholt

Abstract

The recent success of a large genome-wide association (GWA) study-analysing 130 620 major depression cases and 347 620 controls-in identifying the first single-nucleotide polymorphism (SNP) loci robustly associated with major depression in Europeans confirms that immense sample sizes are required to identify risk loci for depression. Given the phenotypic similarity between major depressive disorder (MDD) and the less severe minor depressive disorder (MiDD), we hypothesised that broadening the case definition to include MiDD may be an efficient approach to increase sample sizes in GWA studies of depression. By analysing two large twin pair cohorts, we show that minor depression and major depression lie on a single genetic continuum, with major depression being more severe but not aetiologically distinct from minor depression. Furthermore, we estimate heritabilities of 37% for minor depression, 46% for major depression and 48% for minor or major depression in a cohort of older adults (aged 50-92). However, the heritability of minor or major depression was estimated at 40% in a cohort of younger adults (aged 23-38). Moreover, two robust major depression-risk SNPs nominally associated with major depression in our Australian GWA data set produced more significant evidence for association with minor or major depression. Hence, broadening the case phenotype in GWA studies to include subthreshold definitions, such as MiDD, should facilitate the identification of additional genetic risk loci for depression.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 117 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 117 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 19 16%
Student > Ph. D. Student 16 14%
Student > Doctoral Student 15 13%
Researcher 15 13%
Student > Master 13 11%
Other 12 10%
Unknown 27 23%
Readers by discipline Count As %
Psychology 18 15%
Biochemistry, Genetics and Molecular Biology 17 15%
Neuroscience 12 10%
Medicine and Dentistry 12 10%
Agricultural and Biological Sciences 8 7%
Other 10 9%
Unknown 40 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 18 May 2017.
All research outputs
#15,459,013
of 22,971,207 outputs
Outputs from Translational Psychiatry
#2,597
of 3,242 outputs
Outputs of similar age
#195,156
of 310,608 outputs
Outputs of similar age from Translational Psychiatry
#78
of 84 outputs
Altmetric has tracked 22,971,207 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,242 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 22.7. This one is in the 14th percentile – i.e., 14% of its peers scored the same or lower than it.
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We're also able to compare this research output to 84 others from the same source and published within six weeks on either side of this one. This one is in the 5th percentile – i.e., 5% of its contemporaries scored the same or lower than it.