Investigation of shared genetic risk factors between Parkinson's disease and cancers

Pierre‐Emmanuel Sugier*, Elise A. Lucotte, Cloé Domenighetti, Matthew H. Law, Mark M. Iles, Kevin Brown, Christopher Amos, James D. McKay, Rayjean J. Hung, Mojgan Karimi, Delphine Bacq‐Daian, Anne Boland‐Augé, Robert Olaso, Jean‐françois Deleuze, Fabienne Lesueur, Evgenia Ostroumova, Ausrele Kesminiene, Florent de Vathaire, Pascal Guénel, Ashwin Ashok Kumar SreelathaClaudia Schulte, Sandeep Grover, Patrick May, Dheeraj R. Bobbili, Milena Radivojkov‐Blagojevic, Peter Lichtner, Andrew B. Singleton, Dena G. Hernandez, Connor Edsall, George D. Mellick, Alexander Zimprich, Walter Pirker, Ekaterina Rogaeva, Anthony E. Lang, Sulev Koks, Pille Taba, Suzanne Lesage, Alexis Brice, Jean‐Christophe Corvol, Marie‐Christine Chartier‐Harlin, Eugénie Mutez, Kathrin Brockmann, Angela B. Deutschländer, Georges M. Hadjigeorgiou, Efthimios Dardiotis, Leonidas Stefanis, Athina Maria Simitsi, Enza Maria Valente, Simona Petrucci, Karen E. Morrison, the EPITHYR consortium, the Comprehensive Unbiased Risk Factor Assessment for Genetics and Environment in Parkinson's Disease (Courage‐PD) consortium

*Corresponding author for this work

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Abstract

Background
Epidemiological studies that examined the association between Parkinson's disease (PD) and cancers led to inconsistent results, but they face a number of methodological difficulties.

Objective
We used results from genome-wide association studies (GWASs) to study the genetic correlation between PD and different cancers to identify common genetic risk factors.

Methods
We used individual data for participants of European ancestry from the Courage-PD (Comprehensive Unbiased Risk Factor Assessment for Genetics and Environment in Parkinson's Disease; PD, N = 16,519) and EPITHYR (differentiated thyroid cancer, N = 3527) consortia and summary statistics of GWASs from iPDGC (International Parkinson Disease Genomics Consortium; PD, N = 482,730), Melanoma Meta-Analysis Consortium (MMAC), Breast Cancer Association Consortium (breast cancer), the Prostate Cancer Association Group to Investigate Cancer Associated Alterations in the Genome (prostate cancer), International Lung Cancer Consortium (lung cancer), and Ovarian Cancer Association Consortium (ovarian cancer) (N comprised between 36,017 and 228,951 for cancer GWASs). We estimated the genetic correlation between PD and cancers using linkage disequilibrium score regression. We studied the association between PD and polymorphisms associated with cancers, and vice versa, using cross-phenotypes polygenic risk score (PRS) analyses.

Results
We confirmed a previously reported positive genetic correlation of PD with melanoma (Gcorr = 0.16 [0.04; 0.28]) and reported an additional significant positive correlation of PD with prostate cancer (Gcorr = 0.11 [0.03; 0.19]). There was a significant inverse association between the PRS for ovarian cancer and PD (odds ratio [OR] = 0.89 [0.84; 0.94]). Conversely, the PRS of PD was positively associated with breast cancer (OR = 1.08 [1.06; 1.10]) and inversely associated with ovarian cancer (OR = 0.95 [0.91; 0.99]). The association between PD and ovarian cancer was mostly driven by rs183211 located in an intron of the NSF gene (17q21.31).

Conclusions
We show evidence in favor of a contribution of pleiotropic genes to the association between PD and specific cancers. © 2023 The Authors. Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society. This article has been contributed to by U.S. Government employees and their work is in the public domain in the USA.
Original languageEnglish
JournalMovement Disorders
Early online date14 Feb 2023
DOIs
Publication statusEarly online date - 14 Feb 2023

Keywords

  • RESEARCH ARTICLE
  • RESEARCH ARTICLES
  • Parkinson's disease
  • cancer
  • genetic correlation
  • polygenic risk score
  • pleiotropy

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