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Attention Score in Context
| Title |
Common variants at 2q11.2, 8q21.3, and 11q13.2 are associated with major mood disorders
|
|---|---|
| Published in |
Translational Psychiatry, December 2017
|
| DOI | 10.1038/s41398-017-0019-0 |
| Pubmed ID | |
| Authors |
Xiao Xiao, Lu Wang, Chuang Wang, Ti-Fei Yuan, Dongsheng Zhou, Fanfan Zheng, Lingyi Li, Maria Grigoroiu-Serbanescu, Masashi Ikeda, Nakao Iwata, Atsushi Takahashi, Yoichiro Kamatani, Michiaki Kubo, Martin Preisig, Zoltán Kutalik, Enrique Castelao, Giorgio Pistis, Najaf Amin, Cornelia M. van Duijn, Andreas J. Forstner, Jana Strohmaier, Julian Hecker, Thomas G. Schulze, Bertram Müller-Myhsok, Andreas Reif, Philip B. Mitchell, Nicholas G. Martin, Peter R. Schofield, Sven Cichon, Markus M. Nöthen, Hong Chang, Xiong-Jian Luo, Yiru Fang, Yong-Gang Yao, Chen Zhang, Marcella Rietschel, Ming Li, Advanced Collaborative Study of Mood Disorder (COSMO) Team, MooDS Bipolar Consortium |
| Abstract |
Bipolar disorder (BPD) and major depressive disorder (MDD) are primary major mood disorders. Recent studies suggest that they share certain psychopathological features and common risk genes, but unraveling the full genetic architecture underlying the risk of major mood disorders remains an important scientific task. The public genome-wide association study (GWAS) data sets offer the opportunity to examine this topic by utilizing large amounts of combined genetic data, which should ultimately allow a better understanding of the onset and development of these illnesses. Genome-wide meta-analysis was performed by combining two GWAS data sets on BPD and MDD (19,637 cases and 18,083 controls), followed by replication analyses for the loci of interest in independent 12,364 cases and 76,633 controls from additional samples that were not included in the two GWAS data sets. The single-nucleotide polymorphism (SNP) rs10791889 at 11q13.2 was significant in both discovery and replication samples. When combining all samples, this SNP and multiple other SNPs at 2q11.2 (rs717454), 8q21.3 (rs10103191), and 11q13.2 (rs2167457) exhibited genome-wide significant association with major mood disorders. The SNPs in 2q11.2 and 8q21.3 were novel risk SNPs that were not previously reported, and SNPs at 11q13.2 were in high LD with potential BPD risk SNPs implicated in a previous GWAS. The genome-wide significant loci at 2q11.2 and 11q13.2 exhibited strong effects on the mRNA expression of certain nearby genes in cerebellum. In conclusion, we have identified several novel loci associated with major mood disorders, adding further support for shared genetic risk between BPD and MDD. Our study highlights the necessity and importance of mining public data sets to explore risk genes for complex diseases such as mood disorders. |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 20% |
| Japan | 1 | 20% |
| Unknown | 3 | 60% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 80% |
| Scientists | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 60 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 11 | 18% |
| Researcher | 6 | 10% |
| Student > Ph. D. Student | 6 | 10% |
| Professor | 4 | 7% |
| Student > Bachelor | 4 | 7% |
| Other | 12 | 20% |
| Unknown | 17 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 10 | 17% |
| Neuroscience | 8 | 13% |
| Biochemistry, Genetics and Molecular Biology | 6 | 10% |
| Psychology | 5 | 8% |
| Agricultural and Biological Sciences | 4 | 7% |
| Other | 6 | 10% |
| Unknown | 21 | 35% |
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 19 October 2019.
All research outputs
#13,499,741
of 23,011,300 outputs
Outputs from Translational Psychiatry
#2,177
of 3,248 outputs
Outputs of similar age
#215,258
of 439,919 outputs
Outputs of similar age from Translational Psychiatry
#44
of 70 outputs
Altmetric has tracked 23,011,300 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,248 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 32nd percentile – i.e., 32% 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 439,919 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 70 others from the same source and published within six weeks on either side of this one. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.