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Mendeley readers
Attention Score in Context
| Title |
Assessing the genetic overlap between BMI and cognitive function
|
|---|---|
| Published in |
Molecular Psychiatry, February 2016
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| DOI | 10.1038/mp.2015.205 |
| Pubmed ID | |
| Authors |
R E Marioni, J Yang, D Dykiert, R Mõttus, A Campbell, G Davies, C Hayward, D J Porteous, P M Visscher, I J Deary |
| Abstract |
Obesity and low cognitive function are associated with multiple adverse health outcomes across the life course. They have a small phenotypic correlation (r=-0.11; high body mass index (BMI)-low cognitive function), but whether they have a shared genetic aetiology is unknown. We investigated the phenotypic and genetic correlations between the traits using data from 6815 unrelated, genotyped members of Generation Scotland, an ethnically homogeneous cohort from five sites across Scotland. Genetic correlations were estimated using the following: same-sample bivariate genome-wide complex trait analysis (GCTA)-GREML; independent samples bivariate GCTA-GREML using Generation Scotland for cognitive data and four other samples (n=20 806) for BMI; and bivariate LDSC analysis using the largest genome-wide association study (GWAS) summary data on cognitive function (n=48 462) and BMI (n=339 224) to date. The GWAS summary data were also used to create polygenic scores for the two traits, with within- and cross-trait prediction taking place in the independent Generation Scotland cohort. A large genetic correlation of -0.51 (s.e. 0.15) was observed using the same-sample GCTA-GREML approach compared with -0.10 (s.e. 0.08) from the independent-samples GCTA-GREML approach and -0.22 (s.e. 0.03) from the bivariate LDSC analysis. A genetic profile score using cognition-specific genetic variants accounts for 0.08% (P=0.020) of the variance in BMI and a genetic profile score using BMI-specific variants accounts for 0.42% (P=1.9 × 10(-7)) of the variance in cognitive function. Seven common genetic variants are significantly associated with both traits at P<5 × 10(-5), which is significantly more than expected by chance (P=0.007). All these results suggest there are shared genetic contributions to BMI and cognitive function.Molecular Psychiatry advance online publication, 9 February 2016; doi:10.1038/mp.2015.205. |
X Demographics
The data shown below were collected from the profiles of 9 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 | 3 | 33% |
| Comoros | 1 | 11% |
| Japan | 1 | 11% |
| Australia | 1 | 11% |
| United States | 1 | 11% |
| Unknown | 2 | 22% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 78% |
| Scientists | 1 | 11% |
| Science communicators (journalists, bloggers, editors) | 1 | 11% |
Mendeley readers
The data shown below were compiled from readership statistics for 99 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Finland | 1 | 1% |
| Unknown | 98 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 14 | 14% |
| Researcher | 14 | 14% |
| Student > Master | 14 | 14% |
| Other | 6 | 6% |
| Professor | 5 | 5% |
| Other | 22 | 22% |
| Unknown | 24 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 15 | 15% |
| Psychology | 12 | 12% |
| Biochemistry, Genetics and Molecular Biology | 9 | 9% |
| Neuroscience | 6 | 6% |
| Agricultural and Biological Sciences | 5 | 5% |
| Other | 19 | 19% |
| Unknown | 33 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 43. 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 03 September 2018.
All research outputs
#981,767
of 25,766,791 outputs
Outputs from Molecular Psychiatry
#839
of 4,669 outputs
Outputs of similar age
#17,786
of 411,737 outputs
Outputs of similar age from Molecular Psychiatry
#13
of 62 outputs
Altmetric has tracked 25,766,791 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,669 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 39.6. This one has done well, scoring higher than 82% 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 411,737 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 95% of its contemporaries.
We're also able to compare this research output to 62 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.