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Heritability and genetic variance of dementia with Lewy bodies

Authors :
Rita Guerreiro
Valentina Escott-Price
Dena G. Hernandez
Celia Kun-Rodrigues
Owen A. Ross
Tatiana Orme
Joao Luis Neto
Susana Carmona
Nadia Dehghani
John D. Eicher
Claire Shepherd
Laura Parkkinen
Lee Darwent
Michael G. Heckman
Sonja W. Scholz
Juan C. Troncoso
Olga Pletnikova
Ted Dawson
Liana Rosenthal
Olaf Ansorge
Jordi Clarimon
Alberto Lleo
Estrella Morenas-Rodriguez
Lorraine Clark
Lawrence S. Honig
Karen Marder
Afina Lemstra
Ekaterina Rogaeva
Peter St. George-Hyslop
Elisabet Londos
Henrik Zetterberg
Imelda Barber
Anne Braae
Kristelle Brown
Kevin Morgan
Claire Troakes
Safa Al-Sarraj
Tammaryn Lashley
Janice Holton
Yaroslau Compta
Vivianna Van Deerlin
Geidy E. Serrano
Thomas G. Beach
Suzanne Lesage
Douglas Galasko
Eliezer Masliah
Isabel Santana
Pau Pastor
Monica Diez-Fairen
Miquel Aguilar
Pentti J. Tienari
Liisa Myllykangas
Minna Oinas
Tamas Revesz
Andrew Lees
Brad F. Boeve
Ronald C. Petersen
Tanis J. Ferman
Neill Graff-Radford
Nigel J. Cairns
John C. Morris
Stuart Pickering-Brown
David Mann
Glenda M. Halliday
John Hardy
John Q. Trojanowski
Dennis W. Dickson
Andrew Singleton
David J. Stone
Jose Bras
Source :
Neurobiology of Disease, Vol 127, Iss , Pp 492-501 (2019)
Publication Year :
2019
Publisher :
Elsevier, 2019.

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.

Details

Language :
English
ISSN :
1095953X
Volume :
127
Issue :
492-501
Database :
Directory of Open Access Journals
Journal :
Neurobiology of Disease
Publication Type :
Academic Journal
Accession number :
edsdoj.8a8a606f7f4c49d690647ef64ba97f82
Document Type :
article
Full Text :
https://doi.org/10.1016/j.nbd.2019.04.004