Machine learning and burden analyses highlight novel genes in Parkinson’s Disease.

Parlar SC, Yu E, Kanagasingam S, Zhang Z, Liu L, Ghamgosar Shahkhali M, Chantereault C, Karpilovsky N, Worrall D, Thomas RA, Senkevich K, Fon EA and Gan-Or Z. Machine learning and burden analyses highlight novel genes in Parkinson’s Disease. Under review. 2026. Preprint, PubMed

Somerville EN, Liu L, Ta M, Iwaki H, Senkevich K, Alcalay RN and Gan-Or Z. Genome-wide association studies identify genetic determinants of synucleinopathy biomarkers. Under review. 2026. Preprint, PubMed

Brain size links neurodevelopment to neurodegeneration in Parkinson’s disease.

Azizi H, Abbasi N, Liu L, Pastor-Bernier A, Tremblay C, Pourmajidian M, Senkevich K, Morys F, Vo A, Moqadam R, Rajimehr R, Yu E, Savadjiev P, Markello RD, Shafiei G, Khatibi N, Jahanshad N, Thompson PM, Poline JB, Gan-Or Z, Misic B, Zeighami Y and Dagher A. Brain size links neurodevelopment to neurodegeneration in Parkinson’s disease. Under review. 2026. Preprint, PubMed

Genome-wide association study of REM-sleep behaviour disorder identifies new risk loci

Somerville EN, Liu L, Krohn L, Asayesh F, Ahmad J, Spiegelman D, Teferra M, Tan M, Waters S, Simonet C, Pérez-Carbonell L, Schrag A, Dodet P, Arnulf I, Hu MTM, Ju YE, Montplaisir JY, Gagnon JF, Desautels A, Dauvilliers Y, Aktan-Süzgün M, Ibrahim A, Stefani A, Hogl B, Gaig C, Montini A, Maya G, Iranzo A, Serradell M, Gigli GL, Valente M, Janes F, Bernardini A, Sonka K, Kemlink D, Dusek P, Tamgüney G, Sommerauer M, FigorilliM, Puligheddu M, Mollenhauer B, Trenkwalder C, Sixel-Doring F, Plazzi G, Biscarini F, Antelmi E, Cochen De Cock V, Oertel W, Janzen A, Terzaghi M, Fiamingo G, Heidbreder A, Monaca CC, Ferini-Strambi L, Kulsarova K, Ostrozovicova M, Skorvanek M, Dijkstra F, Viaene M, Bušková J, Abril B, Orso B, Mattioli P, Arnaldi D, Boeve BF, Rouleau GA, Postuma RB, Chung J, Prilutsky D, Atterling Brolin K, Noyce AJ, Ross OA, Blauwendraat C and Gan-Or Z. Genome-wide association study of REM-sleep behaviour disorder identifies new risk loci. Under review. 2026. Preprint, Pubmed

Genomic structural equation modeling of impulsivity and risk-taking traits reveals three latent factors distinctly associated with brain structure and development

Shishikura M, Liu L, Yu E, Zhu R, Vilar-Ribó L, Cupertino RB, Palmer AA, Sanchez-Roige S, Vainik U, Morys F, Gan-Or Z, Misic B, Dagher A. Genomic structural equation modeling of impulsivity and risk-taking traits reveals three latent factors distinctly associated with brain structure and development. Under Review. 2026. Preprint, PubMed.

Polygenic scores for disease risk are not associated with clinical outcomes in Parkinson’s disease.

Tan MMX, Iwaki H, Bandres-Ciga S, Sosero Y, Shoai M, Brockmann K, Williams NM, Alcalay RN, Maple-Grødem J, Alves G, Tysnes OB, Auinger P, Eberly S, Heutink P, Simon DK, Kieburtz K, Hardy J, Williams-Gray CH, Grosset DG, Corvol JC, Gan-Or Z, Toft M and Pihlstrøm L. Polygenic scores for disease risk are not associated with clinical outcomes in Parkinson’s disease. Under review. 2026. Preprint, PubMed

Neuroanatomical correlates of polygenic risk for Parkinson Disease.

Abbasi N, Tremblay C, Rajimehr R, Yu E, Markello RD, Shafiei G, Khatibi N, The ENIGMA-Parkinson’s study, Jahanshad N, Thompson PM, Gan-Or Z, Misic B and Dagher A. Neuroanatomical correlates of polygenic risk for Parkinson Disease. Under review. 2026. Preprint, PubMed