| Literature DB >> 30953760 |
Rita Guerreiro1, Valentina Escott-Price2, Dena G Hernandez3, Celia Kun-Rodrigues4, Owen A Ross5, Tatiana Orme1, Joao Luis Neto1, Susana Carmona1, Nadia Dehghani1, John D Eicher6, Claire Shepherd7, Laura Parkkinen8, Lee Darwent9, Michael G Heckman10, Sonja W Scholz11, Juan C Troncoso12, Olga Pletnikova12, Ted Dawson13, Liana Rosenthal13, Olaf Ansorge8, Jordi Clarimon14, Alberto Lleo14, Estrella Morenas-Rodriguez15, Lorraine Clark16, Lawrence S Honig16, Karen Marder16, Afina Lemstra17, Ekaterina Rogaeva18, Peter St George-Hyslop19, Elisabet Londos20, Henrik Zetterberg21, Imelda Barber22, Anne Braae22, Kristelle Brown22, Kevin Morgan22, Claire Troakes23, Safa Al-Sarraj23, Tammaryn Lashley24, Janice Holton24, Yaroslau Compta25, Vivianna Van Deerlin26, Geidy E Serrano27, Thomas G Beach27, Suzanne Lesage28, Douglas Galasko29, Eliezer Masliah30, Isabel Santana31, Pau Pastor32, Monica Diez-Fairen32, Miquel Aguilar32, Pentti J Tienari33, Liisa Myllykangas34, Minna Oinas35, Tamas Revesz24, Andrew Lees24, Brad F Boeve36, Ronald C Petersen36, Tanis J Ferman37, Neill Graff-Radford38, Nigel J Cairns39, John C Morris39, Stuart Pickering-Brown40, David Mann40, Glenda M Halliday41, John Hardy4, John Q Trojanowski26, Dennis W Dickson5, Andrew Singleton42, David J Stone43, Jose Bras44.
Abstract
Recent large-scale genetic studies have allowed for the first glimpse of the effects of common genetic variability in dementia with Lewy bodies (DLB), identifying risk variants with appreciable effect sizes. However, it is currently well established that a substantial portion of the genetic heritable component of complex traits is not captured by genome-wide significant SNPs. To overcome this issue, we have estimated the proportion of phenotypic variance explained by genetic variability (SNP heritability) in DLB using a method that is unbiased by allele frequency or linkage disequilibrium properties of the underlying variants. This shows that the heritability of DLB is nearly twice as high as previous estimates based on common variants only (31% vs 59.9%). We also determine the amount of phenotypic variance in DLB that can be explained by recent polygenic risk scores from either Parkinson's disease (PD) or Alzheimer's disease (AD), and show that, despite being highly significant, they explain a low amount of variance. Additionally, to identify pleiotropic events that might improve our understanding of the disease, we performed genetic correlation analyses of DLB with over 200 diseases and biomedically relevant traits. Our data shows that DLB has a positive correlation with education phenotypes, which is opposite to what occurs in AD. Overall, our data suggests that novel genetic risk factors for DLB should be identified by larger GWAS and these are likely to be independent from known AD and PD risk variants.Entities:
Keywords: Dementia; Genetic correlation; Genetic variance; Lewy bodies
Mesh:
Year: 2019 PMID: 30953760 PMCID: PMC6588425 DOI: 10.1016/j.nbd.2019.04.004
Source DB: PubMed Journal: Neurobiol Dis ISSN: 0969-9961 Impact factor: 5.996