Almramhi, Mona M;
Storm, Catherine S;
Kia, Demis A;
Coneys, Rachel;
Chhatwal, Burleen K;
Wood, Nicholas W;
(2022)
The role of body fat in multiple sclerosis susceptibility and severity: A Mendelian randomisation study.
Multiple Sclerosis Journal
10.1177/13524585221092644.
(In press).
Preview |
Text (Article)
Almramhi_Anthropometric_MS_revised_manuscript_.pdf Download (271kB) | Preview |
Preview |
Text (Supplementary information)
Almramhi_Supplementary_revised.pdf Download (247kB) | Preview |
Preview |
Text (Table 1)
Almramhi_Table 1. Sample characteristics for the traits of interest.pdf Download (9kB) | Preview |
Preview |
Text (Table 2)
Almramhi_Table 2. MR Estimates for the Effect of Anthropometric Measures on MS risk_.pdf Download (92kB) | Preview |
Preview |
Text (Table 3)
Almramhi_Table 3. MR Estimates for the Effect of MS risk on Anthropometric Measures (Bidirectional Analysis).pdf Download (54kB) | Preview |
Preview |
Text (Table 4)
Almramhi_Table 4. MR Estimates for the Effect of Anthropometric Measures on MS Severity.pdf Download (58kB) | Preview |
Text
Almramhi_Figure_one_Genetic correlations among the 21 anthropometric measures.zip - Other Download (726kB) |
|
Preview |
Text (Figure)
Almramhi_Figure_one_ legends.pdf Download (4kB) | Preview |
Abstract
Objective: The objective of this study was to explore the potential causal associations of body mass index, height, weight, fat mass, fat percentage and non-fat mass in the whole body, arms, legs and trunk (henceforth, ‘anthropometric measures’) with multiple sclerosis (MS) risk and severity. We also investigated the potential for reverse causation between anthropometric measures and MS risk. Methods: We conducted a two-sample univariable, multivariable and bidirectional Mendelian randomisation (MR) analysis. Results: A range of features linked to obesity (body mass index, weight, fat mass and fat percentage) were risk factors for MS development and worsened the disease’s severity in MS patients. Interestingly, we were able to demonstrate that height and non-fat mass have no association with MS risk or MS severity. We demonstrated that the association between anthropometric measures and MS is not subject to bias from reverse causation. Conclusions: Our findings provide evidence from human genetics that a range of features linked to obesity is an important contributor to MS development and MS severity, but height and non-fat mass are not. Importantly, these findings also identify a potentially modifiable factor that may reduce the accumulation of further disability and ameliorate MS severity.
Type: | Article |
---|---|
Title: | The role of body fat in multiple sclerosis susceptibility and severity: A Mendelian randomisation study |
Location: | England |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1177/13524585221092644 |
Publisher version: | http://dx.doi.org/10.1177/13524585221092644 |
Language: | English |
Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
Keywords: | Science & Technology, Life Sciences & Biomedicine, Clinical Neurology, Neurosciences, Neurosciences & Neurology, Multiple sclerosis, Mendelian randomisation, multiple sclerosis severity, anthropometric, obesity, disability progression, MASS INDEX, RISK, INSTRUMENTS, OBESITY |
UCL classification: | UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology > Clinical and Movement Neurosciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology |
URI: | https://discovery.ucl.ac.uk/id/eprint/10150987 |
Archive Staff Only
View Item |