You are here

Biblio

Export 2168 results:
Author [ Title(Asc)] Type Year
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z 
S
Chaves PHM, Kuller LH, O'Leary DH, Manolio TA, Newman AB. Subclinical cardiovascular disease in older adults: insights from the Cardiovascular Health Study. Am J Geriatr Cardiol. 2004 ;13(3):137-51.
Kuller LH, Lopez OL, Mackey RH, Rosano C, Edmundowicz D, Becker JT, Newman AB. Subclinical Cardiovascular Disease and Death, Dementia, and Coronary Heart Disease in Patients 80+ Years. J Am Coll Cardiol. 2016 ;67(9):1013-22.
Rosano C, Kuller LH, Chung H, Arnold AM, Longstreth WT, Newman AB. Subclinical brain magnetic resonance imaging abnormalities predict physical functional decline in high-functioning older adults. J Am Geriatr Soc. 2005 ;53(4):649-54.
Kuller LH, Lopez OL, Gottdiener JS, Kitzman DW, Becker JT, Chang Y, Newman AB. Subclinical Atherosclerosis, Cardiac and Kidney Function, Heart Failure, and Dementia in the Very Elderly. J Am Heart Assoc. 2017 ;6(7).
van der Hagen PB, Folsom AR, Jenny NS, Heckbert SR, O'Meara ES, Reich LM, Rosendaal FR, Cushman M. Subclinical atherosclerosis and the risk of future venous thrombosis in the Cardiovascular Health Study. J Thromb Haemost. 2006 ;4(9):1903-8.
Larkin EK, Patel SR, Zhu X, Tracy RP, Jenny NS, Reiner AP, Walston J, Redline S. Study of the relationship between the interleukin-6 gene and obstructive sleep apnea. Clin Transl Sci. 2010 ;3(6):337-9.
Psaty BM, Delaney JA, Arnold AM, Curtis LH, Fitzpatrick AL, Heckbert SR, McKnight B, Ives D, Gottdiener JS, Kuller LH, et al. Study of Cardiovascular Health Outcomes in the Era of Claims Data: The Cardiovascular Health Study. Circulation. 2016 ;133(2):156-64.
Davies G, Lam M, Harris SE, Trampush JW, Luciano M, W Hill D, Hagenaars SP, Ritchie SJ, Marioni RE, Fawns-Ritchie C, et al. Study of 300,486 individuals identifies 148 independent genetic loci influencing general cognitive function. Nat Commun. 2018 ;9(1):2098.
Lee WP, Wang H, Dombroski B, Cheng PL, Tucci A, Si YQ, Farrell J, Tzeng JY, Leung YY, Malamon J, et al. {Structural Variation Detection and Association Analysis of Whole-Genome-Sequence Data from 16,905 Alzheimer's Diseases Sequencing Project Subjects. Res Sq. 2023 .
Wang H, Dombroski BA, Cheng PL, Tucci A, Si YQ, Farrell JJ, Tzeng JY, Leung YY, Malamon JS, Wang LS, et al. {Structural Variation Detection and Association Analysis of Whole-Genome-Sequence Data from 16,905 Alzheimer's Diseases Sequencing Project Subjects. medRxiv. 2023 .
Kulminski AM, Huang J, Loika Y, Arbeev KG, Bagley O, Yashkin A, Duan M, Culminskaya I. Strong impact of natural-selection-free heterogeneity in genetics of age-related phenotypes. Aging (Albany NY). 2018 ;10(3):492-514.
Feinberg WM, Kronmal RA, Newman AB, Kraut MA, Bovill EG, Cooper L, Hart RG. Stroke risk in an elderly population with atrial fibrillation. J Gen Intern Med. 1999 ;14(1):56-9.
Elkins JS, O'Meara ES, Longstreth WT, Carlson MC, Manolio TA, Johnston SC. Stroke risk factors and loss of high cognitive function. Neurology. 2004 ;63(5):793-9.
Lumley T, Kronmal RA, Cushman M, Manolio TA, Goldstein S. A stroke prediction score in the elderly: validation and Web-based application. J Clin Epidemiol. 2002 ;55(2):129-36.
Mishra A, Malik R, Hachiya T, Jürgenson T, Namba S, Posner DC, Kamanu FK, Koido M, Le Grand Q, Shi M, et al. Stroke genetics informs drug discovery and risk prediction across ancestries. Nature. 2022 .
Benke KS, Wu Y, Fallin DM, Maher B, Palmer LJ. Strategy to control type I error increases power to identify genetic variation using the full biological trajectory. Genet Epidemiol. 2013 ;37(5):419-30.
Lin H, Wang M, Brody JA, Bis JC, Dupuis J, Lumley T, McKnight B, Rice KM, Sitlani CM, Reid JG, et al. Strategies to design and analyze targeted sequencing data: cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium Targeted Sequencing Study. Circ Cardiovasc Genet. 2014 ;7(3):335-43.
Li X, Chen H, Selvaraj MSunitha, Van Buren E, Zhou H, Wang Y, Sun R, McCaw ZR, Yu Z, Arnett DK, et al. A statistical framework for powerful multi-trait rare variant analysis in large-scale whole-genome sequencing studies. bioRxiv. 2023 .
Bernick C, Katz R, Smith NL, Rapp S, Bhadelia R, Carlson M, Kuller L. Statins and cognitive function in the elderly: the Cardiovascular Health Study. Neurology. 2005 ;65(9):1388-94.
Hazzouri AZeki Al, Jawadekar N, Grasset L, Kaiser P, Kezios K, Calonico S, M Glymour M, Hirsch C, Arnold AM, Varadhan R, et al. Statins and cognitive decline in the Cardiovascular Health Study: A comparison of different analytical approaches. J Gerontol A Biol Sci Med Sci. 2021 .
Smit RAJ, Trompet S, Leong A, Goodarzi MO, Postmus I, Warren H, Theusch E, Barnes MR, Arsenault BJ, Li X, et al. Statin-induced LDL cholesterol response and type 2 diabetes: a bidirectional two-sample Mendelian randomization study. Pharmacogenomics J. 2019 .
Rea TD, Breitner JC, Psaty BM, Fitzpatrick AL, Lopez OL, Newman AB, Hazzard WR, Zandi PP, Burke GL, Lyketsos CG, et al. Statin use and the risk of incident dementia: the Cardiovascular Health Study. Arch Neurol. 2005 ;62(7):1047-51.
Brach JS, Studenski S, Perera S, VanSwearingen JM, Newman AB. Stance time and step width variability have unique contributing impairments in older persons. Gait Posture. 2008 ;27(3):431-9.
Martire LM, Schulz R, Mittelmark MB, Newsom JT. Stability and change in older adults' social contact and social support: the Cardiovascular Health Study. J Gerontol B Psychol Sci Soc Sci. 1999 ;54(5):S302-11.
Schulz R, Beach SR, Hebert RS, Martire LM, Monin JK, Tompkins CA, Albert SM. Spousal suffering and partner's depression and cardiovascular disease: the Cardiovascular Health Study. Am J Geriatr Psychiatry. 2009 ;17(3):246-54.

Pages