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Author Title Type [ Year(Asc)]
2019
Marklund M, H Y Wu J, Imamura F, Del Gobbo LC, Fretts A, de Goede J, Shi P, Tintle N, Wennberg M, Aslibekyan S, et al. Biomarkers of Dietary Omega-6 Fatty Acids and Incident Cardiovascular Disease and Mortality. Circulation. 2019 ;139(21):2422-2436.
Wuttke M, Li Y, Li M, Sieber KB, Feitosa MF, Gorski M, Tin A, Wang L, Chu AY, Hoppmann A, et al. A catalog of genetic loci associated with kidney function from analyses of a million individuals. Nat Genet. 2019 ;51(6):957-972.
Bůzková P, Barzilay JI. Comment on Davis et al. Development and Validation of a Simple Hip Fracture Risk Prediction Tool for Type 2 Diabetes: The Fremantle Diabetes Study Phase I. Diabetes Care 2018;42:102-109. Diabetes Care. 2019 ;42(6):e100.
Dörr M, Hamburg NM, Müller C, Smith NL, Gustafsson S, Lehtimäki T, Teumer A, Zeller T, Li X, Lind L, et al. Common Genetic Variation in Relation to Brachial Vascular Dimensions and Flow-Mediated Vasodilation. Circ Genom Precis Med. 2019 ;12(2):e002409.
Anon. Dairy Intake and Body Composition and Cardiometabolic Traits among Adults: Mendelian Randomization Analysis of 182041 Individuals from 18 Studies. Clin Chem. 2019 ;65(6):751-760.
Xue Q-L, Tian J, Walston JD, Chaves PHM, Newman AB, Bandeen-Roche K. Discrepancy in Frailty Identification: Move beyond Predictive Validity. J Gerontol A Biol Sci Med Sci. 2019 .
Bhatt SP, Balte PP, Schwartz JE, Cassano PA, Couper D, Jacobs DR, Kalhan R, O'Connor GT, Yende S, Sanders JL, et al. Discriminative Accuracy of FEV1:FVC Thresholds for COPD-Related Hospitalization and Mortality. JAMA. 2019 ;321(24):2438-2447.
Karasik D, Zillikens CM, Hsu Y-H, Aghdassi A, Åkesson K, Amin N, Barroso I, Bennett DA, Bertram L, Bochud M, et al. Disentangling the genetics of lean mass. Am J Clin Nutr. 2019 ;109(2):276-287.
Barfield R, Wang H, Liu Y, Brody JA, Swenson B, Li R, Bartz TM, Sotoodehnia N, Chen Y-derI, Cade BE, et al. Epigenome-wide association analysis of daytime sleepiness in the Multi-Ethnic Study of Atherosclerosis reveals African-American-specific associations. Sleep. 2019 .
Satizabal CL, Adams HHH, Hibar DP, White CC, Knol MJ, Stein JL, Scholz M, Sargurupremraj M, Jahanshad N, Roshchupkin GV, et al. Genetic architecture of subcortical brain structures in 38,851 individuals. Nat Genet. 2019 ;51(11):1624-1636.
Kunkle BW, Grenier-Boley B, Sims R, Bis JC, Damotte V, Naj AC, Boland A, Vronskaya M, van der Lee SJ, Amlie-Wolf A, et al. Genetic meta-analysis of diagnosed Alzheimer's disease identifies new risk loci and implicates Aβ, tau, immunity and lipid processing. Nat Genet. 2019 ;51(3):414-430.
Sáez ME, González-Pérez A, Hernández-Olasagarre B, Beà A, Moreno-Grau S, de Rojas I, Monté-Rubio G, Orellana A, Valero S, Comella JX, et al. Genome Wide Meta-Analysis identifies common genetic signatures shared by heart function and Alzheimer's disease. Sci Rep. 2019 ;9(1):16665.
de Vries PS, Sabater-Lleal M, Huffman JE, Marten J, Song C, Pankratz N, Bartz TM, de Haan HG, Delgado GE, Eicher JD, et al. A genome-wide association study identifies new loci for factor VII and implicates factor VII in ischemic stroke etiology. Blood. 2019 ;133(9):967-977.
Dashti HS, Merino J, Lane JM, Song Y, Smith CE, Tanaka T, McKeown NM, Tucker C, Sun D, Bartz TM, et al. Genome-wide association study of breakfast skipping links clock regulation with food timing. Am J Clin Nutr. 2019 .
L Fuentes deLas, Sung YJ, Sitlani CM, Avery CL, Bartz TM, de Keyser C, Evans DS, Li X, Musani SK, Ruiter R, et al. Genome-wide meta-analysis of variant-by-diuretic interactions as modulators of lipid traits in persons of European and African ancestry. Pharmacogenomics J. 2019 .
Lindström S, Wang L, Smith EN, Gordon W, Vlieg Avan Hylcka, de Andrade M, Brody JA, Pattee JW, Haessler J, Brumpton BM, et al. Genomic and transcriptomic association studies identify 16 novel susceptibility loci for venous thromboembolism. Blood. 2019 ;134(19):1645-1657.
Timmers PRhj, Mounier N, Läll K, Fischer K, Ning Z, Feng X, Bretherick AD, Clark DW, Agbessi M, Ahsan H, et al. Genomics of 1 million parent lifespans implicates novel pathways and common diseases and distinguishes survival chances. Elife. 2019 ;8.
Odden MC, Rawlings AM, Khodadadi A, Fern X, Shlipak MG, Bibbins-Domingo K, Covinsky K, Kanaya AM, Lee A, Haan MN, et al. Heterogeneous Exposure Associations in Observational Cohort Studies: The Example of Blood Pressure in Older Adults. Am J Epidemiol. 2019 .
Adhikari S, Lecci F, Becker JT, Junker BW, Kuller LH, Lopez OL, Tibshirani RJ. High-dimensional longitudinal classification with the multinomial fused lasso. Stat Med. 2019 .
Bůzková P, Barzilay JI, Fink HA, Robbins JA, Cauley JA, Ix JH, Mukamal KJ. Higher albumin:creatinine ratio and lower estimated glomerular filtration rate are potential risk factors for decline of physical performance in the elderly: the Cardiovascular Health Study. Clin Kidney J. 2019 ;12(6):788-794.
Sarnowski C, Leong A, Raffield LM, Wu P, de Vries PS, DiCorpo D, Guo X, Xu H, Liu Y, Zheng X, et al. Impact of Rare and Common Genetic Variants on Diabetes Diagnosis by Hemoglobin A1c in Multi-Ancestry Cohorts: The Trans-Omics for Precision Medicine Program. Am J Hum Genet. 2019 ;105(4):706-718.
Lindström S, Brody JA, Turman C, Germain M, Bartz TM, Smith EN, Chen M-H, Puurunen M, Chasman D, Hassler J, et al. A large-scale exome array analysis of venous thromboembolism. Genet Epidemiol. 2019 .
Ward-Caviness CK, de Vries PS, Wiggins KL, Huffman JE, Yanek LR, Bielak LF, Giulianini F, Guo X, Kleber ME, Kacprowski T, et al. Mendelian randomization evaluation of causal effects of fibrinogen on incident coronary heart disease. PLoS One. 2019 ;14(5):e0216222.
de Vries PS, Brown MR, Bentley AR, Sung YJ, Winkler TW, Ntalla I, Schwander K, Kraja AT, Guo X, Franceschini N, et al. Multi-Ancestry Genome-Wide Association Study of Lipid Levels Incorporating Gene-Alcohol Interactions. Am J Epidemiol. 2019 .
Bentley AR, Sung YJ, Brown MR, Winkler TW, Kraja AT, Ntalla I, Schwander K, Chasman DI, Lim E, Deng X, et al. Multi-ancestry genome-wide gene-smoking interaction study of 387,272 individuals identifies new loci associated with serum lipids. Nat Genet. 2019 ;51(4):636-648.

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