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Association of Body Mass Index and Parkinson Disease: A Bidirectional Mendelian Randomization Study.

Authors :
Domenighetti C
Sugier PE
Ashok Kumar Sreelatha A
Schulte C
Grover S
Portugal B
Lee PC
May P
Bobbili D
Radivojkov Blagojevic M
Lichtner P
Singleton AB
Hernandez D
Edsall C
Mellick GD
Zimprich AA
Pirker W
Rogaeva EA
Lang AE
Koks S
Taba P
Lesage S
Brice A
Corvol JC
Chartier-Harlin MC
Mutez E
Brockmann K
Deutschlander AB
Hadjigeorgiou GM
Dardiotis E
Stefanis L
Simitsi AM
Valente EM
Petrucci S
Straniero L
Zecchinelli AL
Pezzoli G
Brighina L
Ferrarese C
Annesi G
Quattrone A
Gagliardi M
Matsuo H
Nakayama A
Hattori N
Nishioka K
Chung SJ
Kim YJ
Kolber P
Van De Warrenburg BPC
Bloem BR
Toft M
Pihlstrøm L
Correia Guedes L
Ferreira JJ
Bardien S
Carr J
Tolosa E
Ezquerra M
Pastor P
Diez-Fairen M
Wirdefeldt K
Pedersen NL
Ran C
Belin AC
Puschmann A
Hellberg C
Clarke CE
Morrison KE
Tan MM
Krainc D
Burbulla LF
Farrer M
Kruger R
Gasser T
Sharma M
Elbaz A
Source :
Neurology [Neurology] 2024 Aug 13; Vol. 103 (3), pp. e209620. Date of Electronic Publication: 2024 Jul 10.
Publication Year :
2024

Abstract

Background and Objectives: The role of body mass index (BMI) in Parkinson disease (PD) is unclear. Based on the Comprehensive Unbiased Risk Factor Assessment for Genetics and Environment in PD (Courage-PD) consortium, we used 2-sample Mendelian randomization (MR) to replicate a previously reported inverse association of genetically predicted BMI with PD and investigated whether findings were robust in analyses addressing the potential for survival and incidence-prevalence biases. We also examined whether the BMI-PD relation is bidirectional by performing a reverse MR.<br />Methods: We used summary statistics from a genome-wide association study (GWAS) to extract the association of 501 single-nucleotide polymorphisms (SNPs) with BMI and from the Courage-PD and international Parkinson Disease Genomics Consortium (iPDGC) to estimate their association with PD. Analyses are based on participants of European ancestry. We used the inverse-weighted method to compute odds ratios (OR <subscript>IVW</subscript> per 4.8 kg/m <superscript>2</superscript> [95% CI]) of PD and additional pleiotropy robust methods. We performed analyses stratified by age, disease duration, and sex. For reverse MR, we used SNPs associated with PD from 2 iPDGC GWAS to assess the effect of genetic liability toward PD on BMI.<br />Results: Summary statistics for BMI are based on 806,834 participants (54% women). Summary statistics for PD are based on 8,919 (40% women) cases and 7,600 (55% women) controls from Courage-PD, and 19,438 (38% women) cases and 24,388 (51% women) controls from iPDGC. In Courage-PD, we found an inverse association between genetically predicted BMI and PD (OR <subscript>IVW</subscript> 0.82 [0.70-0.97], p = 0.012) without evidence for pleiotropy. This association tended to be stronger in younger participants (≤67 years, OR <subscript>IVW</subscript> 0.71 [0.55-0.92]) and cases with shorter disease duration (≤7 years, OR <subscript>IVW</subscript> 0.75 [0.62-0.91]). In pooled Courage-PD + iPDGC analyses, the association was stronger in women (OR <subscript>IVW</subscript> 0.85 [0.74-0.99], p = 0.032) than men (OR <subscript>IVW</subscript> 0.92 [0.80-1.04], p = 0.18), but the interaction was not statistically significant ( p -interaction = 0.48). In reverse MR, there was evidence for pleiotropy, but pleiotropy robust methods showed a significant inverse association.<br />Discussion: Using an independent data set (Courage-PD), we replicate an inverse association of genetically predicted BMI with PD, not explained by survival or incidence-prevalence biases. Moreover, reverse MR analyses support an inverse association between genetic liability toward PD and BMI, in favor of a bidirectional relation.

Details

Language :
English
ISSN :
1526-632X
Volume :
103
Issue :
3
Database :
MEDLINE
Journal :
Neurology
Publication Type :
Academic Journal
Accession number :
38986057
Full Text :
https://doi.org/10.1212/WNL.0000000000209620