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

Cloé DomenighettiPierre-Emmanuel SugierAshwin Ashok Kumar SreelathaClaudia SchulteSandeep GroverBerta PortugalPei-Chen LeePatrick MayDheeraj BobbiliMilena Radivojkov BlagojevicPeter LichtnerAndrew B SingletonDena HernandezConnor EdsallGeorge D MellickAlexander A ZimprichWalter PirkerEkaterina A RogaevaAnthony E LangSulev KõksPille TabaSuzanne LesageAlexis BriceJean-Christophe CorvolMarie-Christine Chartier-HarlinEugenie MutezKathrin BrockmanAngela B DeutschländerGeorgios M HadjigeorgiouEfthimios DardiotisLeonidas StefanisAthina Maria SimitsiEnza Maria ValenteSimona PetrucciLetizia StranieroAnna L ZecchinelliGianni PezzoliLaura BrighinaCarlo FerrareseGrazia AnnesiAndrea QuattroneMonica GagliardiHirotaka MatsuoAkiyoshi NakayamaNobutaka HattoriKenya NishiokaSun Ju ChungYoon Joong KimPierre KolberBart P C Van De WarrenburgBastiaan R BloemMathias ToftLasse PihlstromLeonor Correia GuedesJoaquim José FerreiraSoraya BardienJonathan A CarrEduardo TolosaMario EzquerraPau PastorMónica Diez-FairenKarin WirdefeldtNancy L PedersenCaroline RanAndrea Carmine BelinAndreas PuschmannClara HellbergCarl E ClarkeKaren E MorrisonManuela M X TanDimitri KraincLena F BurbullaMatthew J FarrerRejko KrügerThomas GasserManu SharmaAlexis Elbaznull null
Published in: Neurology (2024)
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.
Keyphrases
  • parkinson disease
  • risk factors
  • body mass index
  • deep brain stimulation
  • weight gain
  • electronic health record
  • machine learning
  • computed tomography
  • physical activity
  • weight loss
  • artificial intelligence