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GWAS meta-analysis reveals novel loci and genetic correlates for general cognitive function: a report from the COGENT consortium

Overview of attention for article published in Molecular Psychiatry, January 2017
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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 (98th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

news
3 news outlets
blogs
4 blogs
twitter
96 tweeters
facebook
2 Facebook pages
googleplus
21 Google+ users
reddit
2 Redditors

Citations

dimensions_citation
114 Dimensions

Readers on

mendeley
284 Mendeley
citeulike
3 CiteULike
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Title
GWAS meta-analysis reveals novel loci and genetic correlates for general cognitive function: a report from the COGENT consortium
Published in
Molecular Psychiatry, January 2017
DOI 10.1038/mp.2016.244
Pubmed ID
Authors

J W Trampush, M L Z Yang, J Yu, E Knowles, G Davies, D C Liewald, J M Starr, S Djurovic, I Melle, K Sundet, A Christoforou, I Reinvang, P DeRosse, A J Lundervold, V M Steen, T Espeseth, K Räikkönen, E Widen, A Palotie, J G Eriksson, I Giegling, B Konte, P Roussos, S Giakoumaki, K E Burdick, A Payton, W Ollier, M Horan, O Chiba-Falek, D K Attix, A C Need, E T Cirulli, A N Voineskos, N C Stefanis, D Avramopoulos, A Hatzimanolis, D E Arking, N Smyrnis, R M Bilder, N A Freimer, T D Cannon, E London, R A Poldrack, F W Sabb, E Congdon, E D Conley, M A Scult, D Dickinson, R E Straub, G Donohoe, D Morris, A Corvin, M Gill, A R Hariri, D R Weinberger, N Pendleton, P Bitsios, D Rujescu, J Lahti, S Le Hellard, M C Keller, O A Andreassen, I J Deary, D C Glahn, A K Malhotra, T Lencz

Abstract

The complex nature of human cognition has resulted in cognitive genomics lagging behind many other fields in terms of gene discovery using genome-wide association study (GWAS) methods. In an attempt to overcome these barriers, the current study utilized GWAS meta-analysis to examine the association of common genetic variation (~8M single-nucleotide polymorphisms (SNP) with minor allele frequency ⩾1%) to general cognitive function in a sample of 35 298 healthy individuals of European ancestry across 24 cohorts in the Cognitive Genomics Consortium (COGENT). In addition, we utilized individual SNP lookups and polygenic score analyses to identify genetic overlap with other relevant neurobehavioral phenotypes. Our primary GWAS meta-analysis identified two novel SNP loci (top SNPs: rs76114856 in the CENPO gene on chromosome 2 and rs6669072 near LOC105378853 on chromosome 1) associated with cognitive performance at the genome-wide significance level (P<5 × 10(-8)). Gene-based analysis identified an additional three Bonferroni-corrected significant loci at chromosomes 17q21.31, 17p13.1 and 1p13.3. Altogether, common variation across the genome resulted in a conservatively estimated SNP heritability of 21.5% (s.e.=0.01%) for general cognitive function. Integration with prior GWAS of cognitive performance and educational attainment yielded several additional significant loci. Finally, we found robust polygenic correlations between cognitive performance and educational attainment, several psychiatric disorders, birth length/weight and smoking behavior, as well as a novel genetic association to the personality trait of openness. These data provide new insight into the genetics of neurocognitive function with relevance to understanding the pathophysiology of neuropsychiatric illness.Molecular Psychiatry advance online publication, 17 January 2017; doi:10.1038/mp.2016.244.

Twitter Demographics

The data shown below were collected from the profiles of 96 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 284 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Finland 2 <1%
Unknown 282 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 58 20%
Researcher 41 14%
Student > Master 36 13%
Student > Bachelor 21 7%
Other 20 7%
Other 65 23%
Unknown 43 15%
Readers by discipline Count As %
Psychology 56 20%
Biochemistry, Genetics and Molecular Biology 36 13%
Medicine and Dentistry 35 12%
Agricultural and Biological Sciences 31 11%
Neuroscience 25 9%
Other 42 15%
Unknown 59 21%

Attention Score in Context

This research output has an Altmetric Attention Score of 125. 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 01 August 2020.
All research outputs
#179,121
of 16,651,312 outputs
Outputs from Molecular Psychiatry
#154
of 3,179 outputs
Outputs of similar age
#6,158
of 360,518 outputs
Outputs of similar age from Molecular Psychiatry
#7
of 61 outputs
Altmetric has tracked 16,651,312 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,179 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 29.2. 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 360,518 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 98% of its contemporaries.
We're also able to compare this research output to 61 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 90% of its contemporaries.