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Genome-wide Regional Heritability Mapping Identifies a Locus Within the TOX2 Gene Associated With Major Depressive Disorder

Overview of attention for article published in Biological Psychiatry, December 2016
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Title
Genome-wide Regional Heritability Mapping Identifies a Locus Within the TOX2 Gene Associated With Major Depressive Disorder
Published in
Biological Psychiatry, December 2016
DOI 10.1016/j.biopsych.2016.12.012
Pubmed ID
Authors

Yanni Zeng, Pau Navarro, Masoud Shirali, David M. Howard, Mark J. Adams, Lynsey S. Hall, Toni-Kim Clarke, Pippa A. Thomson, Blair H. Smith, Alison Murray, Sandosh Padmanabhan, Caroline Hayward, Thibaud Boutin, Donald J. MacIntyre, Cathryn M. Lewis, Naomi R. Wray, Divya Mehta, Brenda W.J.H. Penninx, Yuri Milaneschi, Bernhard T. Baune, Tracy Air, Jouke-Jan Hottenga, Hamdi Mbarek, Enrique Castelao, Giorgio Pistis, Thomas G. Schulze, Fabian Streit, Andreas J. Forstner, Enda M. Byrne, Nicholas G. Martin, Gerome Breen, Bertram Müller-Myhsok, Susanne Lucae, Stefan Kloiber, Enrico Domenici, Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium, Ian J. Deary, David J. Porteous, Chris S. Haley, Andrew M. McIntosh

Abstract

Major depressive disorder (MDD) is the second largest cause of global disease burden. It has an estimated heritability of 37%, but published genome-wide association studies have so far identified few risk loci. Haplotype-block-based regional heritability mapping (HRHM) estimates the localized genetic variance explained by common variants within haplotype blocks, integrating the effects of multiple variants, and may be more powerful for identifying MDD-associated genomic regions. We applied HRHM to Generation Scotland: The Scottish Family Health Study, a large family- and population-based Scottish cohort (N = 19,896). Single-single nucleotide polymorphism (SNP) and haplotype-based association tests were used to localize the association signal within the regions identified by HRHM. Functional prediction was used to investigate the effect of MDD-associated SNPs within the regions. A haplotype block across a 24-kb region within the TOX2 gene reached genome-wide significance in HRHM. Single-SNP- and haplotype-based association tests demonstrated that five of nine genotyped SNPs and two haplotypes within this block were significantly associated with MDD. The expression of TOX2 and a brain-specific long noncoding RNA RP1-269M15.3 in frontal cortex and nucleus accumbens basal ganglia, respectively, were significantly regulated by MDD-associated SNPs within this region. Both the regional heritability and single-SNP associations within this block were replicated in the UK-Ireland group of the most recent release of the Psychiatric Genomics Consortium (PGC), the PGC2-MDD (Major Depression Dataset). The SNP association was also replicated in a depressive symptom sample that shares some individuals with the PGC2-MDD. This study highlights the value of HRHM for MDD and provides an important target within TOX2 for further functional studies.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 112 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Italy 1 <1%
Unknown 111 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 19 17%
Student > Ph. D. Student 16 14%
Student > Bachelor 10 9%
Student > Master 9 8%
Professor 9 8%
Other 27 24%
Unknown 22 20%
Readers by discipline Count As %
Medicine and Dentistry 22 20%
Biochemistry, Genetics and Molecular Biology 19 17%
Agricultural and Biological Sciences 15 13%
Psychology 9 8%
Neuroscience 8 7%
Other 10 9%
Unknown 29 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 05 September 2018.
All research outputs
#8,535,472
of 25,374,647 outputs
Outputs from Biological Psychiatry
#3,464
of 6,597 outputs
Outputs of similar age
#143,903
of 421,374 outputs
Outputs of similar age from Biological Psychiatry
#32
of 47 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,597 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.6. This one is in the 31st percentile – i.e., 31% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 421,374 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.
We're also able to compare this research output to 47 others from the same source and published within six weeks on either side of this one. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.