Ontology highlight
ABSTRACT:
SUBMITTER: Mez J
PROVIDER: S-EPMC5318231 | biostudies-literature | 2017 Feb
REPOSITORIES: biostudies-literature
Mez Jesse J Chung Jaeyoon J Jun Gyungah G Kriegel Joshua J Bourlas Alexandra P AP Sherva Richard R Logue Mark W MW Barnes Lisa L LL Bennett David A DA Buxbaum Joseph D JD Byrd Goldie S GS Crane Paul K PK Ertekin-Taner Nilüfer N Evans Denis D Fallin M Daniele MD Foroud Tatiana T Goate Alison A Graff-Radford Neill R NR Hall Kathleen S KS Kamboh M Ilyas MI Kukull Walter A WA Larson Eric B EB Manly Jennifer J JJ Haines Jonathan L JL Mayeux Richard R Pericak-Vance Margaret A MA Schellenberg Gerard D GD Lunetta Kathryn L KL Farrer Lindsay A LA
Alzheimer's & dementia : the journal of the Alzheimer's Association 20161020 2
<h4>Introduction</h4>African Americans' (AAs) late-onset Alzheimer's disease (LOAD) genetic risk profile is incompletely understood. Including clinical covariates in genetic analyses using informed conditioning might improve study power.<h4>Methods</h4>We conducted a genome-wide association study (GWAS) in AAs employing informed conditioning in 1825 LOAD cases and 3784 cognitively normal controls. We derived a posterior liability conditioned on age, sex, diabetes status, current smoking status, ...[more]