| Literature DB >> 35639372 |
Yann Le Guen1,2, Michael E Belloy1, Benjamin Grenier-Boley3, Itziar de Rojas4,5, Atahualpa Castillo-Morales6, Iris Jansen7,8, Aude Nicolas3, Céline Bellenguez3, Carolina Dalmasso9,10, Fahri Küçükali11,12,13, Sarah J Eger1, Katrine Laura Rasmussen14,15, Jesper Qvist Thomassen14, Jean-François Deleuze16, Zihuai He1,17, Valerio Napolioni18, Philippe Amouyel3, Frank Jessen9,19,20, Patrick G Kehoe21, Cornelia van Duijn22,23, Magda Tsolaki24, Pascual Sánchez-Juan5,25, Kristel Sleegers11,12,13, Martin Ingelsson26,27,28, Giacomina Rossi29, Mikko Hiltunen30, Rebecca Sims31, Wiesje M van der Flier7, Alfredo Ramirez9,19,20,32,33, Ole A Andreassen34,35, Ruth Frikke-Schmidt14,15, Julie Williams6,31, Agustín Ruiz4,5, Jean-Charles Lambert3, Michael D Greicius1, Beatrice Arosio36, Luisa Benussi37, Anne Boland16, Barbara Borroni38, Paolo Caffarra39, Delphine Daian16, Antonio Daniele40,41, Stéphanie Debette42,43, Carole Dufouil44,45, Emrah Düzel46,47, Daniela Galimberti48,49, Vilmantas Giedraitis26, Timo Grimmer50, Caroline Graff51, Edna Grünblatt52,53,54, Olivier Hanon55, Lucrezia Hausner56, Stefanie Heilmann-Heimbach57, Henne Holstege7,58, Jakub Hort59,60, Deckert Jürgen61, Teemu Kuulasmaa30, Aad van der Lugt62, Carlo Masullo63, Patrizia Mecocci64, Shima Mehrabian65, Alexandre de Mendonça66, Susanne Moebus67, Benedetta Nacmias68,69, Gael Nicolas70, Robert Olaso16, Goran Papenberg71, Lucilla Parnetti72, Florence Pasquier73, Oliver Peters74,75, Yolande A L Pijnenburg7, Julius Popp76,77,78, Innocenzo Rainero79, Inez Ramakers80, Steffi Riedel-Heller81, Nikolaos Scarmeas82,83, Philip Scheltens7, Norbert Scherbaum84, Anja Schneider19,32, Davide Seripa85, Hilkka Soininen86, Vincenzo Solfrizzi87, Gianfranco Spalletta88,89, Alessio Squassina90, John van Swieten91, Thomas J Tegos24, Lucio Tremolizzo92, Frans Verhey80, Martin Vyhnalek59,60, Jens Wiltfang93,94,95, Mercè Boada4,5, Pablo García-González4,5, Raquel Puerta4, Luis M Real96,97, Victoria Álvarez98,99, María J Bullido5,100,101, Jordi Clarimon5,102, José María García-Alberca5,103, Pablo Mir5,104, Fermin Moreno5,105,106, Pau Pastor107,108, Gerard Piñol-Ripoll109,110, Laura Molina-Porcel111,112, Jordi Pérez-Tur5,113,114, Eloy Rodríguez-Rodríguez5,115, Jose Luís Royo97, Raquel Sánchez-Valle116, Martin Dichgans117,118,119, Dan Rujescu120.
Abstract
Importance: The APOE ε2 and APOE ε4 alleles are the strongest protective and risk-increasing, respectively, genetic variants for late-onset Alzheimer disease (AD). However, the mechanisms linking APOE to AD-particularly the apoE protein's role in AD pathogenesis and how this is affected by APOE variants-remain poorly understood. Identifying missense variants in addition to APOE ε2 and APOE ε4 could provide critical new insights, but given the low frequency of additional missense variants, AD genetic cohorts have previously been too small to interrogate this question robustly. Objective: To determine whether rare missense variants on APOE are associated with AD risk. Design, Setting, and Participants: Association with case-control status was tested in a sequenced discovery sample (stage 1) and followed up in several microarray imputed cohorts as well as the UK Biobank whole-exome sequencing resource using a proxy-AD phenotype (stages 2 and 3). This study combined case-control, family-based, population-based, and longitudinal AD-related cohorts that recruited referred and volunteer participants. Stage 1 included 37 409 nonunique participants of European or admixed European ancestry, with 11 868 individuals with AD and 11 934 controls passing analysis inclusion criteria. In stages 2 and 3, 475 473 participants were considered across 8 cohorts, of which 84 513 individuals with AD and proxy-AD and 328 372 controls passed inclusion criteria. Selection criteria were cohort specific, and this study was performed a posteriori on individuals who were genotyped. Among the available genotypes, 76 195 were excluded. All data were retrieved between September 2015 and November 2021 and analyzed between April and November 2021. Main Outcomes and Measures: In primary analyses, the AD risk associated with each missense variant was estimated, as appropriate, with either linear mixed-model regression or logistic regression. In secondary analyses, associations were estimated with age at onset using linear mixed-model regression and risk of conversion to AD using competing-risk regression.Entities:
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Year: 2022 PMID: 35639372 PMCID: PMC9157381 DOI: 10.1001/jamaneurol.2022.1166
Source DB: PubMed Journal: JAMA Neurol ISSN: 2168-6149 Impact factor: 29.907