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Mendeley readers
Attention Score in Context
| Title |
Interaction between the FTO gene, body mass index and depression: meta-analysis of 13701 individuals
|
|---|---|
| Published in |
British Journal of Psychiatry, January 2018
|
| DOI | 10.1192/bjp.bp.116.183475 |
| Pubmed ID | |
| Authors |
Margarita Rivera, Adam E. Locke, Tanguy Corre, Darina Czamara, Christiane Wolf, Ana Ching-Lopez, Yuri Milaneschi, Stefan Kloiber, Sara Cohen-Woods, James Rucker, Katherine J. Aitchison, Sven Bergmann, Dorret I. Boomsma, Nick Craddock, Michael Gill, Florian Holsboer, Jouke-Jan Hottenga, Ania Korszun, Zoltan Kutalik, Susanne Lucae, Wolfgang Maier, Ole Mors, Bertram Müller-Myhsok, Michael J. Owen, Brenda W. J. H. Penninx, Martin Preisig, John Rice, Marcella Rietschel, Federica Tozzi, Rudolf Uher, Peter Vollenweider, Gerard Waeber, Gonneke Willemsen, Ian W. Craig, Anne E. Farmer, Cathryn M. Lewis, Gerome Breen, Peter McGuffin |
| Abstract |
BackgroundDepression and obesity are highly prevalent, and major impacts on public health frequently co-occur. Recently, we reported that having depression moderates the effect of the FTO gene, suggesting its implication in the association between depression and obesity.AimsTo confirm these findings by investigating the FTO polymorphism rs9939609 in new cohorts, and subsequently in a meta-analysis.MethodThe sample consists of 6902 individuals with depression and 6799 controls from three replication cohorts and two original discovery cohorts. Linear regression models were performed to test for association between rs9939609 and body mass index (BMI), and for the interaction between rs9939609 and depression status for an effect on BMI. Fixed and random effects meta-analyses were performed using METASOFT.ResultsIn the replication cohorts, we observed a significant interaction between FTO, BMI and depression with fixed effects meta-analysis (β = 0.12, P = 2.7 × l0(-4)) and with the Han/Eskin random effects method (P = 1.4 × 10(-7)) but not with traditional random effects (β = 0.1, P = 0.35). When combined with the discovery cohorts, random effects meta-analysis also supports the interaction (β = 0.12, P = 0.027) being highly significant based on the Han/Eskin model (P = 6.9 × 10(-8)). On average, carriers of the risk allele who have depression have a 2.2% higher BMI for each risk allele, over and above the main effect of FTOConclusionsThis meta-analysis provides additional support for a significant interaction between FTO, depression and BMI, indicating that depression increases the effect of FTO on BMI. The findings provide a useful starting point in understanding the biological mechanism involved in the association between obesity and depression. |
X Demographics
The data shown below were collected from the profiles of 18 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 | 5 | 28% |
| Netherlands | 2 | 11% |
| Greece | 1 | 6% |
| Spain | 1 | 6% |
| Russia | 1 | 6% |
| Unknown | 8 | 44% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 44% |
| Scientists | 5 | 28% |
| Practitioners (doctors, other healthcare professionals) | 4 | 22% |
| Science communicators (journalists, bloggers, editors) | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 102 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 102 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 15 | 15% |
| Student > Ph. D. Student | 14 | 14% |
| Student > Bachelor | 13 | 13% |
| Student > Master | 7 | 7% |
| Student > Postgraduate | 6 | 6% |
| Other | 20 | 20% |
| Unknown | 27 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 18 | 18% |
| Biochemistry, Genetics and Molecular Biology | 12 | 12% |
| Psychology | 12 | 12% |
| Agricultural and Biological Sciences | 8 | 8% |
| Pharmacology, Toxicology and Pharmaceutical Science | 6 | 6% |
| Other | 14 | 14% |
| Unknown | 32 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 18. 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 21 April 2018.
All research outputs
#2,092,171
of 25,411,814 outputs
Outputs from British Journal of Psychiatry
#1,234
of 6,318 outputs
Outputs of similar age
#46,542
of 449,703 outputs
Outputs of similar age from British Journal of Psychiatry
#897
of 5,296 outputs
Altmetric has tracked 25,411,814 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,318 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.6. This one has done well, scoring higher than 80% 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 449,703 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 5,296 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.