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Systematic disparities in misdiagnosis of dementia across racial/ethnic groups have implications for health disparities. We compared the risk of dementia under- and overdiagnosis in clinical settings across racial/ethnic groups from 2000 to 2010.
Gianattasio, K.Z., Prather, C., Glymour, M.M., Ciarleglio, A., Power, M.C.
Alzheimer's & Dementia
2019
Background: A claims-based frailty index (CFI) was developed based on a deficit-accumulation approach using self-reported health information. This study aimed to independently validate the CFI against physical performance and adverse health outcomes.
Kim, D., Glynn, R., Avorn, J., Lipsitz, L., Rockwood, K., Pawar, A., and Schneeweiss, S.
Journals of Gerontology Series A: Biological Sciences and Medical Sciences
2019
The role of even the strongest genetic risk factor for Alzheimer's disease (AD), the apolipoprotein E (APOE) e4 allele, in its etiology remains poorly understood. We examined molecular signatures of AD defined as differences in linkage disequilibrium patterns between AD-affected and -unaffected whites (2673/16,246), Hispanics (392/867), and African Americans (285/1789), separately.
Kulminski, A.M., Shu, L., Loika, Y., Nazarian, A., Arbeev, K.G., Ukraintseva, S., Yashin, A. I., Culminskaya, I.
Neurobiology of Aging
2019
Alzheimer's disease (AD) is a progressive neurodegenerative disorder caused by the interplay of multiple genetic and non-genetic factors. Hypertension is one of the AD risk factors that has been linked to underlying pathological changes like senile plaques and neurofibrillary tangles formation as well as hippocampal atrophy. In this study, we investigated the differences in the genetic architecture of AD between hypertensive and non-hypertensive subjects in four independent cohorts.
Nazarian, A., Arbeev, K.G., Yashkin, A.P., Kulminski, A.M.
GeroScience
2019
Heritability analysis of complex traits/diseases is commonly performed to obtain illustrative information about the potential contribution of the genetic factors to their phenotypic variances. In this study, we investigated the narrow-sense heritability (h2) of Alzheimer's disease (AD) using genome-wide single-nucleotide polymorphisms (SNPs) data from three independent studies in the linear mixed models framework.
Nazarian, A., Kulminski, A.M.
Journal of Alzheimer's Disease
2019
We investigated the genetic architecture of AD in four publicly available independent datasets through genome-wide association, transcriptome-wide association, and gene-based and pathway-based analyses. To explore differences in the genetic basis of AD between males and females, analyses were performed on three samples in each dataset: males and females combined, only males, or only females.
Nazarian, A., Yashin, A. I., Kulminski, A.M.
Alzheimer's Research & Therapy
2019
A conceptual difficulty in genetics of age-related phenotypes that make individuals vulnerable to disease in post-reproductive life is genetic heterogeneity attributed to an undefined role of evolution in establishing their molecular mechanisms. Here, we performed univariate and pleiotropic genome-wide meta-analyses of 20 age-related phenotypes leveraging longitudinal information in a sample of 33,431 individuals and dealing with the natural-selection-free genetic heterogeneity.
Kulminski, A.M., Huang, J., Loika, Y., Arbeev, K.G., Bagley, O., Yashkin, A., Duan, M., Culminskaya, I.
Aging
2018
Objective(s): To create and test three prospective, increasingly restrictive definitions of serious illness.
Kelley, A. S., Covinsky, K. E., Gorges, R. J., McKendrick, K., Bollens-Lund, E., Morrison, R. S., & Ritchie, C. S.
Health Services Research
2017
Objective(s): To assess the impact of disability and social determinants of health on condition-specific readmissions beyond current risk adjustment.
Meddings, J., Reichert, H., Smith, S. N., Iwashyna, T. J., Langa, K. M., Hofer, T. P., & McMahon, L. F.
Journal of General Internal Medicine
2017
Objective(s): To measure out-of-pocket (OOP) costs incurred by Medicare beneficiaries with cancer and identify which factors and services contribute to high OOP costs.
Narang, A. K., & Nicholas, L. H.
JAMA Oncology
2017
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