↓ Skip to main content

A mega-analysis of genome-wide association studies for major depressive disorder

Overview of attention for article published in Molecular Psychiatry, April 2012
Altmetric Badge

About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

news
15 news outlets
blogs
3 blogs
policy
1 policy source
twitter
16 X users
patent
7 patents
facebook
1 Facebook page
wikipedia
4 Wikipedia pages

Citations

dimensions_citation
1048 Dimensions

Readers on

mendeley
996 Mendeley
citeulike
2 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
A mega-analysis of genome-wide association studies for major depressive disorder
Published in
Molecular Psychiatry, April 2012
DOI 10.1038/mp.2012.21
Pubmed ID
Abstract

Prior genome-wide association studies (GWAS) of major depressive disorder (MDD) have met with limited success. We sought to increase statistical power to detect disease loci by conducting a GWAS mega-analysis for MDD. In the MDD discovery phase, we analyzed more than 1.2 million autosomal and X chromosome single-nucleotide polymorphisms (SNPs) in 18 759 independent and unrelated subjects of recent European ancestry (9240 MDD cases and 9519 controls). In the MDD replication phase, we evaluated 554 SNPs in independent samples (6783 MDD cases and 50 695 controls). We also conducted a cross-disorder meta-analysis using 819 autosomal SNPs with P<0.0001 for either MDD or the Psychiatric GWAS Consortium bipolar disorder (BIP) mega-analysis (9238 MDD cases/8039 controls and 6998 BIP cases/7775 controls). No SNPs achieved genome-wide significance in the MDD discovery phase, the MDD replication phase or in pre-planned secondary analyses (by sex, recurrent MDD, recurrent early-onset MDD, age of onset, pre-pubertal onset MDD or typical-like MDD from a latent class analyses of the MDD criteria). In the MDD-bipolar cross-disorder analysis, 15 SNPs exceeded genome-wide significance (P<5 × 10(-8)), and all were in a 248 kb interval of high LD on 3p21.1 (chr3:52 425 083-53 822 102, minimum P=5.9 × 10(-9) at rs2535629). Although this is the largest genome-wide analysis of MDD yet conducted, its high prevalence means that the sample is still underpowered to detect genetic effects typical for complex traits. Therefore, we were unable to identify robust and replicable findings. We discuss what this means for genetic research for MDD. The 3p21.1 MDD-BIP finding should be interpreted with caution as the most significant SNP did not replicate in MDD samples, and genotyping in independent samples will be needed to resolve its status.

X Demographics

X Demographics

The data shown below were collected from the profiles of 16 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 996 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 11 1%
Germany 5 <1%
United Kingdom 5 <1%
Netherlands 3 <1%
Australia 2 <1%
Canada 2 <1%
Hong Kong 1 <1%
Brazil 1 <1%
Italy 1 <1%
Other 3 <1%
Unknown 962 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 194 19%
Researcher 156 16%
Student > Master 128 13%
Student > Bachelor 117 12%
Student > Doctoral Student 53 5%
Other 186 19%
Unknown 162 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 163 16%
Medicine and Dentistry 161 16%
Psychology 136 14%
Neuroscience 108 11%
Biochemistry, Genetics and Molecular Biology 101 10%
Other 105 11%
Unknown 222 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 174. 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 28 September 2022.
All research outputs
#216,743
of 24,254,113 outputs
Outputs from Molecular Psychiatry
#185
of 4,374 outputs
Outputs of similar age
#906
of 164,651 outputs
Outputs of similar age from Molecular Psychiatry
#3
of 40 outputs
Altmetric has tracked 24,254,113 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,374 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 38.8. This one has done particularly well, scoring higher than 95% of its peers.
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 164,651 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 40 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.