Investigator

Patrick May

Senior Researcher, Head of Genome Analysis · Université du Luxembourg, Luxembourg Centre for Systems Biomedicine/Bioinformatics Core

About

Research Interests

PMPatrick May
Papers(1)
Investigation of Shar…
Collaborators(10)
Pierre‐Emmanuel SugierSandeep GroverSoraya BardienSun Ju ChungAlexander ZimprichAlexis ElbazAngela B. Deutschländ…Anthony E. LangClaudia SchulteCloé Domenighetti
Institutions(8)
Luxembourg Centre For…INSERMPhilipps University o…Stellenbosch Universi…Asan Medical CenterMedical University Vi…Ludwig Maximilians Un…UHN Krembil Brain Ins…

Papers

Investigation of Shared Genetic Risk Factors Between Parkinson's Disease and Cancers

AbstractBackgroundEpidemiological studies that examined the association between Parkinson's disease (PD) and cancers led to inconsistent results, but they face a number of methodological difficulties.ObjectiveWe used results from genome‐wide association studies (GWASs) to study the genetic correlation between PD and different cancers to identify common genetic risk factors.MethodsWe 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.ResultsWe 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).ConclusionsWe 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.

303Works
1Papers
22Collaborators
Genetic Predisposition to DiseaseParkinson DiseaseAlzheimer DiseaseProstatic NeoplasmsOvarian NeoplasmsLung NeoplasmsLewy Body Disease

Positions

2015–

Senior Researcher, Head of Genome Analysis

Université du Luxembourg · Luxembourg Centre for Systems Biomedicine/Bioinformatics Core

2016–

Co-Founder

MeGeno S.A.

2010–

ISB/LCSB fellow

Université du Luxembourg · Luxembourg Centre for Systems Biomedicine

2010–

Visiting scholar

Institute for Systems Biology · Hood/Dudley/Shmulevich labs

2007–

Postdoc

Max-Planck-Institut für molekulare Pflanzenphysiologie · Bioinformatics

2006–

Researcher

Freie Universitat Berlin · Computer Science/Algorithmic Bioinformatics

2003–

Researcher

Konrad-Zuse-Zentrum für Informationstechnik Berlin · Computer Science Research

Education

2007

PhD

Freie Universitat Berlin · Biochemistry

2003

Master of Science in Bioinformatics, Master in Computer Science

Berliner Hochschule für Technik

2002

Diploma

Universität des Saarlandes · Biology

Country

LU

Keywords
BioinformaticsSystems BiologyGeneticsGenomicsMicrobiomeComplex Brain Disorders