TY - JOUR
T1 - Association of Body Mass Index and Parkinson Disease A Bidirectional Mendelian Randomization Study
AU - Domenighetti, Cloé
AU - Sugier, Pierre Emmanuel
AU - Ashok Kumar Sreelatha, Ashwin
AU - Schulte, Claudia
AU - Grover, Sandeep
AU - Portugal, Berta
AU - Lee, Pei Chen
AU - May, Patrick
AU - Bobbili, Dheeraj
AU - Radivojkov Blagojevic, Milena
AU - Lichtner, Peter
AU - Singleton, Andrew B.
AU - Hernandez, Dena
AU - Edsall, Connor
AU - Mellick, George D.
AU - Zimprich, Alexander A.
AU - Pirker, Walter
AU - Rogaeva, Ekaterina A.
AU - Lang, Anthony E.
AU - Koks, Sulev
AU - Taba, Pille
AU - Lesage, Suzanne
AU - Brice, Alexis
AU - Corvol, Jean Christophe
AU - Chartier-Harlin, Marie Christine
AU - Mutez, Eugenie
AU - Brockmann, Kathrin
AU - Deutschlander, Angela B.
AU - Hadjigeorgiou, Georgios M.
AU - Dardiotis, Efthimios
AU - Stefanis, Leonidas
AU - Simitsi, Athina Maria
AU - Valente, Enza Maria
AU - Petrucci, Simona
AU - Straniero, Letizia
AU - Zecchinelli, Anna L.
AU - Pezzoli, Gianni
AU - Brighina, Laura
AU - Ferrarese, Carlo
AU - Annesi, Grazia
AU - Quattrone, Andrea
AU - Gagliardi, Monica
AU - Matsuo, Hirotaka
AU - Nakayama, Akiyoshi
AU - Hattori, Nobutaka
AU - Nishioka, Kenya
AU - Chung, Sun Ju
AU - Kim, Yun Joong
AU - Kolber, Pierre
AU - Kruger, Rejko
AU - Comprehensive Unbiased Risk Factor Assessment for Genetics and Environment in Parkinson's Disease (Courage-PD) Consortium
AU - Sharma, Manu
AU - Elbaz, Alexis
N1 - Publisher Copyright:
© American Academy of Neurology.
PY - 2024/7/10
Y1 - 2024/7/10
N2 - 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.MethodsWe 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 (ORIVW per 4.8 kg/m2 [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.ResultsSummary 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 (ORIVW 0.82 [0.70-0.97], p = 0.012) without evidence for pleiotropy. This association tended to be stronger in younger participants (≤67 years, ORIVW 0.71 [0.55-0.92]) and cases with shorter disease duration (≤7 years, ORIVW 0.75 [0.62-0.91]). In pooled Courage-PD + iPDGC analyses, the association was stronger in women (ORIVW 0.85 [0.74-0.99], p = 0.032) than men (ORIVW 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.DiscussionUsing 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.
AB - 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.MethodsWe 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 (ORIVW per 4.8 kg/m2 [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.ResultsSummary 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 (ORIVW 0.82 [0.70-0.97], p = 0.012) without evidence for pleiotropy. This association tended to be stronger in younger participants (≤67 years, ORIVW 0.71 [0.55-0.92]) and cases with shorter disease duration (≤7 years, ORIVW 0.75 [0.62-0.91]). In pooled Courage-PD + iPDGC analyses, the association was stronger in women (ORIVW 0.85 [0.74-0.99], p = 0.032) than men (ORIVW 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.DiscussionUsing 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.
UR - http://www.scopus.com/inward/record.url?scp=85198438116&partnerID=8YFLogxK
UR - https://pubmed.ncbi.nlm.nih.gov/38986057/
U2 - 10.1212/WNL.0000000000209620
DO - 10.1212/WNL.0000000000209620
M3 - Article
C2 - 38986057
AN - SCOPUS:85198438116
SN - 0028-3878
VL - 103
JO - Neurology
JF - Neurology
IS - 3
M1 - e209620
ER -