↓ Skip to main content

The role of genetic variation of human metabolism for BMI, mental traits and mental disorders

Overview of attention for article published in Molecular Metabolism, April 2018
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (82nd percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

news
1 news outlet
twitter
6 X users
facebook
1 Facebook page

Citations

dimensions_citation
17 Dimensions

Readers on

mendeley
131 Mendeley
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
The role of genetic variation of human metabolism for BMI, mental traits and mental disorders
Published in
Molecular Metabolism, April 2018
DOI 10.1016/j.molmet.2018.03.015
Pubmed ID
Authors

Johannes Hebebrand, Triinu Peters, Dick Schijven, Moritz Hebebrand, Corinna Grasemann, Thomas W. Winkler, Iris M. Heid, Jochen Antel, Manuel Föcker, Lisa Tegeler, Lena Brauner, Roger A.H. Adan, Jurjen J. Luykx, Christoph U. Correll, Inke R. König, Anke Hinney, Lars Libuda

Abstract

The aim was to assess whether loci associated with metabolic traits also have a significant role in BMI and mental traits/disorders METHODS: We first assessed the number of single nucleotide polymorphisms (SNPs) with genome-wide significance for human metabolism (NHGRI-EBI Catalog). These 516 SNPs (216 independent loci) were looked-up in genome-wide association studies for association with body mass index (BMI) and the mental traits/disorders educational attainment, neuroticism, schizophrenia, well-being, anxiety, depressive symptoms, major depressive disorder, autism-spectrum disorder, attention-deficit/hyperactivity disorder, Alzheimer's disease, bipolar disorder, aggressive behavior, and internalizing problems. A strict significance threshold of p < 6.92 × 10-6 was based on the correction for 516 SNPs and all 14 phenotypes, a second less conservative threshold (p < 9.69 × 10-5) on the correction for the 516 SNPs only. 19 SNPs located in nine independent loci revealed p-values < 6.92 × 10-6; the less strict criterion was met by 41 SNPs in 24 independent loci. BMI and schizophrenia showed the most pronounced genetic overlap with human metabolism with three loci each meeting the strict significance threshold. Overall, genetic variation associated with estimated glomerular filtration rate showed up frequently; single metabolite SNPs were associated with more than one phenotype. Replications in independent samples were obtained for BMI and educational attainment. Approximately 5-10% of the regions involved in the regulation of blood/urine metabolite levels seem to also play a role in BMI and mental traits/disorders and related phenotypes. If validated in metabolomic studies of the respective phenotypes, the associated blood/urine metabolites may enable novel preventive and therapeutic strategies.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 131 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 131 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 19 15%
Student > Ph. D. Student 14 11%
Student > Doctoral Student 12 9%
Student > Bachelor 11 8%
Researcher 10 8%
Other 18 14%
Unknown 47 36%
Readers by discipline Count As %
Medicine and Dentistry 22 17%
Psychology 17 13%
Biochemistry, Genetics and Molecular Biology 9 7%
Nursing and Health Professions 6 5%
Neuroscience 5 4%
Other 20 15%
Unknown 52 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 22 December 2019.
All research outputs
#2,984,586
of 25,382,440 outputs
Outputs from Molecular Metabolism
#446
of 1,610 outputs
Outputs of similar age
#59,561
of 343,066 outputs
Outputs of similar age from Molecular Metabolism
#22
of 44 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,610 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.5. This one has gotten more attention than average, scoring higher than 72% 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 343,066 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 82% of its contemporaries.
We're also able to compare this research output to 44 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.