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C

Böger CA, Chen M-H, Tin A, Olden M, Köttgen A, de Boer IH, Fuchsberger C, O'Seaghdha CM, Pattaro C, Teumer A, et al. CUBN is a gene locus for albuminuria. J Am Soc Nephrol. 2011 ;22(3):555-70.

D

Seshasai SRao Kondap, Kaptoge S, Thompson A, Di Angelantonio E, Gao P, Sarwar N, Whincup PH, Mukamal KJ, Gillum RF, Holme I, et al. Diabetes mellitus, fasting glucose, and risk of cause-specific death. N Engl J Med. 2011 ;364(9):829-841.

Winkler TW, Rasheed H, Teumer A, Gorski M, Rowan BX, Stanzick KJ, Thomas LF, Tin A, Hoppmann A, Chu AY, et al. Differential and shared genetic effects on kidney function between diabetic and non-diabetic individuals. Commun Biol. 2022 ;5(1):580.

Willer CJ, Schmidt EM, Sengupta S, Peloso GM, Gustafsson S, Kanoni S, Ganna A, Chen J, Buchkovich ML, Mora S, et al. Discovery and refinement of loci associated with lipid levels. Nat Genet. 2013 ;45(11):1274-1283.

van den Berg ME, Warren HR, Cabrera CP, Verweij N, Mifsud B, Haessler J, Bihlmeyer NA, Fu Y-P, Weiss S, Lin HJ, et al. Discovery of novel heart rate-associated loci using the Exome Chip. Hum Mol Genet. 2017 .

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.

Bis JC, Sitlani C, Irvin R, Avery CL, Smith AVernon, Sun F, Evans DS, Musani SK, Li X, Trompet S, et al. Drug-Gene Interactions of Antihypertensive Medications and Risk of Incident Cardiovascular Disease: A Pharmacogenomics Study from the CHARGE Consortium. PLoS One. 2015 ;10(10):e0140496.

E

Ganesh SK, Chasman DI, Larson MG, Guo X, Verwoert G, Bis JC, Gu X, Smith AV, Yang M-L, Zhang Y, et al. Effects of long-term averaging of quantitative blood pressure traits on the detection of genetic associations. Am J Hum Genet. 2014 ;95(1):49-65.

Sung YJu, Winkler TW, Manning AK, Aschard H, Gudnason V, Harris TB, Smith AV, Boerwinkle E, Brown MR, Morrison AC, et al. An Empirical Comparison of Joint and Stratified Frameworks for Studying G × E Interactions: Systolic Blood Pressure and Smoking in the CHARGE Gene-Lifestyle Interactions Working Group. Genet Epidemiol. 2016 ;40(5):404-15.

Pennells L, Kaptoge S, Wood A, Sweeting M, Zhao X, White I, Burgess S, Willeit P, Bolton T, Moons KGM, et al. Equalization of four cardiovascular risk algorithms after systematic recalibration: individual-participant meta-analysis of 86 prospective studies. Eur Heart J. 2018 .

Chouraki V, Reitz C, Maury F, Bis JC, Bellenguez C, Yu L, Jakobsdottir J, Mukherjee S, Adams HH, Choi SHoan, et al. Evaluation of a Genetic Risk Score to Improve Risk Prediction for Alzheimer's Disease. J Alzheimers Dis. 2016 ;53(3):921-32.

Chami N, Chen M-H, Slater AJ, Eicher JD, Evangelou E, Tajuddin SM, Love-Gregory L, Kacprowski T, Schick UM, Nomura A, et al. Exome Genotyping Identifies Pleiotropic Variants Associated with Red Blood Cell Traits. Am J Hum Genet. 2016 ;99(1):8-21.

Prins BP, Mead TJ, Brody JA, Sveinbjornsson G, Ntalla I, Bihlmeyer NA, van den Berg M, Bork-Jensen J, Cappellani S, Van Duijvenboden S, et al. Exome-chip meta-analysis identifies novel loci associated with cardiac conduction, including ADAMTS6. Genome Biol. 2018 ;19(1):87.

Bihlmeyer NA, Brody JA, Smith AVernon, Warren HR, Lin H, Isaacs A, Liu C-T, Marten J, Radmanesh F, Hall LM, et al. ExomeChip-Wide Analysis of 95 626 Individuals Identifies 10 Novel Loci Associated With QT and JT Intervals. Circ Genom Precis Med. 2018 ;11(1):e001758.

Liu DJ, Peloso GM, Yu H, Butterworth AS, Wang X, Mahajan A, Saleheen D, Emdin C, Alam D, Alves ACouto, et al. Exome-wide association study of plasma lipids in >300,000 individuals. Nat Genet. 2017 ;49(12):1758-1766.

F

Imamura F, Fretts A, Marklund M, Korat AVArdisson, Yang W-S, Lankinen M, Qureshi W, Helmer C, Chen T-A, Wong K, et al. Fatty acid biomarkers of dairy fat consumption and incidence of type 2 diabetes: A pooled analysis of prospective cohort studies. PLoS Med. 2018 ;15(10):e1002670.

M Ikram K, Sim X, Xueling S, Jensen RA, Cotch MFrances, Hewitt AW, Ikram AM, Wang JJin, Klein R, Klein BEK, et al. Four novel Loci (19q13, 6q24, 12q24, and 5q14) influence the microcirculation in vivo. PLoS Genet. 2010 ;6(10):e1001184.

Yang J, Loos RJF, Powell JE, Medland SE, Speliotes EK, Chasman DI, Rose LM, Thorleifsson G, Steinthorsdottir V, Mägi R, et al. FTO genotype is associated with phenotypic variability of body mass index. Nature. 2012 ;490(7419):267-72.

G

Simino J, Shi G, Bis JC, Chasman DI, Ehret GB, Gu X, Guo X, Hwang S-J, Sijbrands E, Smith AV, et al. Gene-age interactions in blood pressure regulation: a large-scale investigation with the CHARGE, Global BPgen, and ICBP Consortia. Am J Hum Genet. 2014 ;95(1):24-38.

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 .

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.

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.

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.

Grasby KL, Jahanshad N, Painter JN, Colodro-Conde L, Bralten J, Hibar DP, Lind PA, Pizzagalli F, Ching CRK, McMahon MAgnes B, et al. The genetic architecture of the human cerebral cortex. Science [Internet]. 2020 ;367(6484):eaay6690. Available from: https://www.sciencemag.org/lookup/doi/10.1126/science.aay6690https://syndication.highwire.org/content/doi/10.1126/science.aay6690https://syndication.highwire.org/content/doi/10.1126/science.aay6690

Arking DE, Pulit SL, Crotti L, van der Harst P, Munroe PB, Koopmann TT, Sotoodehnia N, Rossin EJ, Morley M, Wang X, et al. Genetic association study of QT interval highlights role for calcium signaling pathways in myocardial repolarization. Nat Genet. 2014 ;46(8):826-36.

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