Sex-specific patterns and differences in dementia and Alzheimer's disease using informatics approaches.
The National Institutes of Health Office of Research on Women's Health recently highlighted the critical need for explicitly addressing sex differences in biomedical research, including Alzheimer's disease and dementia. The purpose of our study was to perform a sex-stratified analysis of cognitive impairment using diverse medical, clinical, and genetic factors of unprecedented scale and scope by applying informatics approaches to three large Alzheimer's databases. Analyses suggested females were 1.5 times more likely than males to have a documented diagnosis of probable Alzheimer's disease, and several other factors fell along sex-specific lines and were possibly associated with severity of cognitive impairment.
a Grinformatics , Haymarket , Virginia , USA.
Jay Geronimo
JG
Ronquillo
a Grinformatics , Haymarket , Virginia , USA.
Merritt Rachel
MR
Baer
b Laboratory of Computer Science , Massachusetts General Hospital, and Harvard Medical School , Boston , Massachusetts , USA.
William T
WT
Lester
D000368:Aged; D000369:Aged, 80 and over; D000544:Alzheimer Disease / Q000453:epidemiology* / Q000209:etiology; D003072:Cognition Disorders / Q000453:epidemiology* / Q000209:etiology; D016208:Databases, Factual; D003704:Dementia / Q000453:epidemiology* / Q000209:etiology; D005260:Female; D006801:Humans; D048088:Informatics; D008297:Male; D008875:Middle Aged; D017678:Sex Distribution; D012737:Sex Factors
Alzheimer’s disease; biomedical informatics; data analytics; dementia; sex and gender