You are here

Biblio

Export 53 results:
Author [ Title(Asc)] Type Year
Filters: Author is Yao, Jie  [Clear All Filters]
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 
G
Irvin MR, Sitlani CM, Floyd JS, Psaty BM, Bis JC, Wiggins KL, Whitsel EA, Stürmer T, Stewart J, Raffield L, et al. Genome-Wide Association Study of Apparent Treatment-Resistant Hypertension in the CHARGE Consortium: The CHARGE Pharmacogenetics Working Group. Am J Hypertens. 2019 ;32(12):1146-1153.
Li C, Kim YKyoung, Dorajoo R, Li H, Lee I-T, Cheng C-Y, He M, Sheu WH-H, Guo X, Ganesh SK, et al. Genome-Wide Association Study Meta-Analysis of Long-Term Average Blood Pressure in East Asians. Circ Cardiovasc Genet. 2017 ;10(2):e001527.
Napier MD, Franceschini N, Gondalia R, Stewart JD, Méndez-Giráldez R, Sitlani CM, Seyerle AA, Highland HM, Li Y, Wilhelmsen KC, et al. Genome-wide association study and meta-analysis identify loci associated with ventricular and supraventricular ectopy. Sci Rep. 2018 ;8(1):5675.
Ehret GB, Munroe PB, Rice KM, Bochud M, Johnson AD, Chasman DI, Smith AV, Tobin MD, Verwoert GC, Hwang S-J, et al. Genetic variants in novel pathways influence blood pressure and cardiovascular disease risk. Nature. 2011 ;478(7367):103-9.
Yaghootkar H, Zhang Y, Spracklen CN, Karaderi T, Huang LOpal, Bradfield J, Schurmann C, Fine RS, Preuss MH, Kutalik Z, et al. Genetic Studies of Leptin Concentrations Implicate Leptin in the Regulation of Early Adiposity. Diabetes. 2020 .
Hahn J, Fu Y-P, Brown MR, Bis JC, de Vries PS, Feitosa MF, Yanek LR, Weiss S, Giulianini F, Smith AVernon, et al. Genetic loci associated with prevalent and incident myocardial infarction and coronary heart disease in the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium. PLoS One. 2020 ;15(11):e0230035.
Weng L-C, Lunetta KL, Müller-Nurasyid M, Smith AVernon, Thériault S, Weeke PE, Barnard J, Bis JC, Lyytikäinen L-P, Kleber ME, et al. Genetic Interactions with Age, Sex, Body Mass Index, and Hypertension in Relation to Atrial Fibrillation: The AFGen Consortium. Sci Rep. 2017 ;7(1):11303.
Suzuki K, Hatzikotoulas K, Southam L, Taylor HJ, Yin X, Lorenz KM, Mandla R, Huerta-Chagoya A, Melloni GEM, Kanoni S, et al. Genetic drivers of heterogeneity in type 2 diabetes pathophysiology. Nature. 2024 .
Young WJ, Haessler J, Benjamins J-W, Repetto L, Yao J, Isaacs A, Harper AR, Ramirez J, Garnier S, Van Duijvenboden S, et al. Genetic architecture of spatial electrical biomarkers for cardiac arrhythmia and relationship with cardiovascular disease. Nat Commun. 2023 ;14(1):1411.
Evangelou E, Warren HR, Mosen-Ansorena D, Mifsud B, Pazoki R, Gao H, Ntritsos G, Dimou N, Cabrera CP, Karaman I, et al. Genetic analysis of over 1 million people identifies 535 new loci associated with blood pressure traits. Nat Genet. 2018 ;50(10):1412-1425.
Wang S, Zhao JH, An P, Guo X, Jensen RA, Marten J, Huffman JE, Meidtner K, Boeing H, Campbell A, et al. General Framework for Meta-Analysis of Haplotype Association Tests. Genet Epidemiol. 2016 ;40(3):244-52.
Fuentes Lde Las, Schwander KL, Brown MR, Bentley AR, Winkler TW, Sung YJu, Munroe PB, Miller CL, Aschard H, Aslibekyan S, et al. Gene-educational attainment interactions in a multi-population genome-wide meta-analysis identify novel lipid loci. Front Genet. 2023 ;14:1235337.
Fuentes Lde Las, Sung YJu, Noordam R, Winkler T, Feitosa MF, Schwander K, Bentley AR, Brown MR, Guo X, Manning A, et al. Gene-educational attainment interactions in a multi-ancestry genome-wide meta-analysis identify novel blood pressure loci. Mol Psychiatry. 2020 .

Pages