You are here

Biblio

Export 2148 results:
Author [ Title(Desc)] 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 
P
Redline S, Min NI, Shahar E, Rapoport D, O'Connor G. Polysomnographic predictors of blood pressure and hypertension: is one index best?. Sleep. 2005 ;28(9):1122-30.
Iber C, Redline S, Gilpin AMKaplan, Quan SF, Zhang L, Gottlieb DJ, Rapoport D, Resnick HE, Sanders M, Smith P. Polysomnography performed in the unattended home versus the attended laboratory setting--Sleep Heart Health Study methodology. Sleep. 2004 ;27(3):536-40.
Bhatt SP, Balte PP, Schwartz JE, Jaeger BC, Cassano PA, Chaves PH, Couper D, Jacobs DR, Kalhan R, Kaplan R, et al. Pooled Cohort Probability Score for Subclinical Airflow Obstruction. Ann Am Thorac Soc. 2022 ;19(8):1294-1304.
Yu F, Lu J, Liu X, Gazave E, Chang D, Raj S, Hunter-Zinck H, Blekhman R, Arbiza L, Van Hout C, et al. Population genomic analysis of 962 whole genome sequences of humans reveals natural selection in non-coding regions. PLoS One. 2015 ;10(3):e0121644.
Reiner AP, Ziv E, Lind DL, Nievergelt CM, Schork NJ, Cummings SR, Phong A, Burchard EG, Harris TB, Psaty BM, et al. Population structure, admixture, and aging-related phenotypes in African American adults: the Cardiovascular Health Study. Am J Hum Genet. 2005 ;76(3):463-77.
Gonzales MM, Wiedner C, Wang CP, Liu Q, Bis JC, Li Z, Himali JJ, Ghosh S, Thomas EA, Parent DM, et al. {A population-based meta-analysis of circulating GFAP for cognition and dementia risk. Ann Clin Transl Neurol. 2022 ;9:1574–1585.
Flynn TJ, Cadzow M, Dalbeth N, Jones PB, Stamp LK, Hindmarsh JHarré, Todd AS, Walker RJ, Topless R, Merriman TR. Positive association of tomato consumption with serum urate: support for tomato consumption as an anecdotal trigger of gout flares. BMC Musculoskelet Disord. 2015 ;16:196.
Ton TG, Jain S, Boudreau R, Thacker EL, Strotmeyer ES, Newman AB, Longstreth WT, Checkoway H. Post hoc Parkinson's disease: identifying an uncommon disease in the Cardiovascular Health Study. Neuroepidemiology. 2010 ;35(4):241-9.
Dumitrescu L, Carty CL, Franceschini N, Hindorff LA, Cole SA, Bůzková P, Schumacher FR, Eaton CB, Goodloe RJ, Duggan DJ, et al. Post-genome-wide association study challenges for lipid traits: describing age as a modifier of gene-lipid associations in the Population Architecture using Genomics and Epidemiology (PAGE) study. Ann Hum Genet. 2013 ;77(5):416-25.
Cushman M, Psaty BM, Meilahn EN, Dobs AS, Kuller LH. Post-menopausal hormone therapy and concentrations of protein C and antithrombin in elderly women. Br J Haematol. 2001 ;114(1):162-8.
Lastwika KJ, Kunihiro A, Solan JL, Zhang Y, Taverne LR, Shelley D, Rho J-H, Randolph TW, Li CI, Grogan EL, et al. Posttranslational modifications induce autoantibodies with risk prediction capability in patients with small cell lung cancer. Sci Transl Med. 2023 ;15(678):eadd8469.
Chatterjee R, Biggs ML, de Boer IH, Brancati FL, Svetkey LP, Barzilay J, Djoussé L, Ix JH, Kizer JR, Siscovick DS, et al. Potassium and glucose measures in older adults: the Cardiovascular Health Study. J Gerontol A Biol Sci Med Sci. 2015 ;70(2):255-61.
Strotmeyer ES, Kamineni A, Cauley JA, Robbins JA, Fried LF, Siscovick DS, Harris TB, Newman AB. Potential explanatory factors for higher incident hip fracture risk in older diabetic adults. Curr Gerontol Geriatr Res. 2011 ;2011:979270.
Elmer GW, Lafferty WE, Tyree PT, Lind BK. Potential interactions between complementary/alternative products and conventional medicines in a Medicare population. Ann Pharmacother. 2007 ;41(10):1617-24.
Graham SE, Clarke SL, Wu KH, Kanoni S, Zajac GJM, Ramdas S, Surakka I, Ntalla I, Vedantam S, Winkler TW, et al. {The power of genetic diversity in genome-wide association studies of lipids. Nature. 2021 ;600:675–679.
Zhang L, Samet J, Caffo B, Bankman I, Punjabi NM. Power spectral analysis of EEG activity during sleep in cigarette smokers. Chest. 2008 ;133(2):427-32.
Li X, Quick C, Zhou H, Gaynor SM, Liu Y, Chen H, Selvaraj MSunitha, Sun R, Dey R, Arnett DK, et al. Powerful, scalable and resource-efficient meta-analysis of rare variant associations in large whole genome sequencing studies. Nat Genet. 2023 ;55(1):154-164.
van Setten J, Brody JA, Jamshidi Y, Swenson BR, Butler AM, Campbell H, Del Greco FM, Evans DS, Gibson Q, Gudbjartsson DF, et al. PR interval genome-wide association meta-analysis identifies 50 loci associated with atrial and atrioventricular electrical activity. Nat Commun. 2018 ;9(1):2904.
Saxton J, Lopez OL, Ratcliff G, Dulberg C, Fried LP, Carlson MC, Newman AB, Kuller L. Preclinical Alzheimer disease: neuropsychological test performance 1.5 to 8 years prior to onset. Neurology. 2004 ;63(12):2341-7.
Mathenge N, Fan W, Wong ND, Hirsch C, Delaney CJoseph, Amsterdam EA, Koch B, Calara R, Gardin JM. Pre-diabetes, diabetes and predictors of incident angina among older women and men in the Cardiovascular Health Study. Diab Vasc Dis Res. 2020 ;17(1):1479164119888476.
Diehr P, Patrick DL, Bild DE, Burke GL, Williamson JD. Predicting future years of healthy life for older adults. J Clin Epidemiol. 1998 ;51(4):343-53.
Diehr P, Diehr M, Arnold A, Yee LM, Odden MC, Hirsch CH, Thielke S, Psaty BM, W Johnson C, Md JRKizer, et al. Predicting Future Years of Life, Health, and Functional Ability: A Healthy Life Calculator for Older Adults. Gerontol Geriatr Med. 2015 ;1:2333721415605989.
Ho JE, Enserro D, Brouwers FP, Kizer JR, Shah SJ, Psaty BM, Bartz TM, Santhanakrishnan R, Lee DS, Chan C, et al. Predicting Heart Failure With Preserved and Reduced Ejection Fraction: The International Collaboration on Heart Failure Subtypes. Circ Heart Fail. 2016 ;9(6).
Hirsch CHayes, Bůzková P, Robbins JA, Patel KV, Newman AB. Predicting late-life disability and death by the rate of decline in physical performance measures. Age Ageing. 2012 ;41(2):155-61.
Nguyen QDinh, Odden MC, Peralta CA, Kim DHyun. Predicting Risk of Atherosclerotic Cardiovascular Disease Using Pooled Cohort Equations in Older Adults With Frailty, Multimorbidity, and Competing Risks. J Am Heart Assoc. 2020 ;9(18):e016003.

Pages