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Domenighetti, C.* ; Sugier, P.E.* ; Ashok Kumar Sreelatha, A.* ; Schulte, C.* ; Grover, S.* ; Portugal, B.* ; Lee, P.C.* ; May, P.* ; Bobbili, D.R.* ; Radivojkov-Blagojevic, M. ; Lichtner, P. ; Singleton, A.B.* ; Hernandez, D.* ; Edsall, C.* ; Mellick, G.D.* ; Zimprich, A.A.* ; Pirker, W.* ; Rogaeva, E.A.* ; Lang, A.E.* ; Kõks, S.* ; Taba, P.* ; Lesage, S.* ; Brice, A.* ; Corvol, J.C.* ; Chartier-Harlin, M.C.* ; Mutez, E.* ; Brockmann, K.* ; Deutschländer, A.B.* ; Hadjigeorgiou, G.M.* ; Dardiotis, E.* ; Stefanis, L.* ; Simitsi, A.M.* ; Valente, E.M.* ; Petrucci, S.* ; Straniero, L.* ; Zecchinelli, A.L.* ; Pezzoli, G.* ; Brighina, L.* ; Ferrarese, C.* ; Annesi, G.* ; Quattrone, A.* ; Gagliardi, M.* ; Matsuo, H.* ; Nakayama, A.* ; Hattori, N.* ; Nishioka, K.* ; Chung, S.J.* ; Kim, Y.J.* ; Kolber, P.* ; van de Warrenburg, B.P.C.* ; Bloem, B.R.* ; Toft, M.* ; Pihlstrøm, L.* ; Correia Guedes, L.* ; Ferreira, J.J.* ; Bardien, S.* ; Carr, J.* ; Tolosa, E.* ; Ezquerra, M.* ; Pastor, P.* ; Diez-Fairen, M.* ; Wirdefeldt, K.* ; Pedersen, N.L.* ; Ran, C.* ; Belin, A.C.* ; Puschmann, A.* ; Hellberg, C.* ; Clarke, C.E.* ; Morrison, K.E.* ; Tan, M.M.* ; Krainc, D.* ; Burbulla, L.F.* ; Farrer, M.* ; Kruger, R.* ; Gasser, T.* ; Sharma, M.* ; Elbaz, A.*

Association of body mass index and parkinson disease: A bidirectional mendelian randomization study.

Neurology 103:e209620 (2024)
DOI PMC
Open Access Green möglich sobald Postprint bei der ZB eingereicht worden ist.
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. 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 (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. 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 (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. 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.
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Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Korrespondenzautor
Schlagwörter Risk; Metaanalysis; Insulin
ISSN (print) / ISBN 0028-3878
e-ISSN 1526-632X
Zeitschrift Neurology
Quellenangaben Band: 103, Heft: 3, Seiten: , Artikelnummer: e209620 Supplement: ,
Verlag Lippincott Williams & Wilkins
Verlagsort Two Commerce Sq, 2001 Market St, Philadelphia, Pa 19103 Usa
Nichtpatentliteratur Publikationen
Begutachtungsstatus Peer reviewed
Förderungen UK Medical Research Council
MRC