Pulse lineResearch With Heart Logo

ARIC Publications

Filters: Keyword is Genome-Wide Association Study  [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 
S
Dichgans M, Malik R, König IR, et al. "Shared genetic susceptibility to ischemic stroke and coronary artery disease: a genome-wide analysis of common variants." Stroke. 2014;45(1):24-36.
Liang J, Le TH, Edwards DRVelez, et al. "Single-trait and multi-trait genome-wide association analyses identify novel loci for blood pressure in African-ancestry populations." PLoS Genet. 2017;13(5):e1006728.
Hoogeveen RC, Gaubatz JW, Sun W, et al. "Small dense low-density lipoprotein-cholesterol concentrations predict risk for coronary heart disease: the Atherosclerosis Risk In Communities (ARIC) study." Arterioscler Thromb Vasc Biol. 2014;34(5):1069-77.
Demirkan A, Lahti J, Direk N, et al. "Somatic, positive and negative domains of the Center for Epidemiological Studies Depression (CES-D) scale: a meta-analysis of genome-wide association studies." Psychol Med. 2016;46(8):1613-23.
Wu B. "Statistical methods for association tests of multiple continuous traits in genome-wide association studies." Ann Hum Genet. 2015;79(4):282-93.
Lin H, Wang M, Brody JA, 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.
Perry JRB, Voight BF, Yengo L, et al. "Stratifying type 2 diabetes cases by BMI identifies genetic risk variants in LAMA1 and enrichment for risk variants in lean compared to obese cases." PLoS Genet. 2012;8(5):e1002741.
Luciano M, Marioni RE, Hernández MValdés, et al. "Structural Brain MRI Trait Polygenic Score Prediction of Cognitive Abilities." Twin Res Hum Genet. 2015;18(6):738-45.
Peters U, North KE, Sethupathy P, et al. "A systematic mapping approach of 16q12.2/FTO and BMI in more than 20,000 African Americans narrows in on the underlying functional variation: results from the Population Architecture using Genomics and Epidemiology (PAGE) study." PLoS Genet. 2013;9(1):e1003171.
T
Tin A, Marten J, Kuhns VLHalperin, et al. "Target genes, variants, tissues and transcriptional pathways influencing human serum urate levels." Nat Genet. 2019;51(10):1459-1474.
Lin H, Sinner MF, Brody JA, et al. "Targeted sequencing in candidate genes for atrial fibrillation: the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Targeted Sequencing Study." Heart Rhythm. 2014;11(3):452-7.
Chen J, Spracklen CN, Marenne G, et al. "The trans-ancestral genomic architecture of glycemic traits." Nat Genet. 2021;53(6):840-860.
Gong J, Nishimura KK, Fernández-Rhodes L, et al. "Trans-ethnic analysis of metabochip data identifies two new loci associated with BMI." Int J Obes (Lond). 2018;42(3):384-390.
Hong J, Hatchell KE, Bradfield JP, et al. "Transethnic Evaluation Identifies Low-Frequency Loci Associated With 25-Hydroxyvitamin D Concentrations." J Clin Endocrinol Metab. 2018;103(4):1380-1392.
Wu Y, Waite LL, Jackson AU, et al. "Trans-ethnic fine-mapping of lipid loci identifies population-specific signals and allelic heterogeneity that increases the trait variance explained." PLoS Genet. 2013;9(3):e1003379.
Bien SA, Pankow JS, Haessler J, et al. "Transethnic insight into the genetics of glycaemic traits: fine-mapping results from the Population Architecture using Genomics and Epidemiology (PAGE) consortium." Diabetologia. 2017;60(12):2384-2398.
Morris AP, Le TH, Wu H, et al. "Trans-ethnic kidney function association study reveals putative causal genes and effects on kidney-specific disease aetiologies." Nat Commun. 2019;10(1):29.
Liu C-T, Raghavan S, Maruthur N, et al. "Trans-ethnic Meta-analysis and Functional Annotation Illuminates the Genetic Architecture of Fasting Glucose and Insulin." Am J Hum Genet. 2016;99(1):56-75.
Keller MF, Reiner AP, Okada Y, et al. "Trans-ethnic meta-analysis of white blood cell phenotypes." Hum Mol Genet. 2014;23(25):6944-60.
C Y Ng M, Saxena R, Li J, et al. "Transferability and fine mapping of type 2 diabetes loci in African Americans: the Candidate Gene Association Resource Plus Study." Diabetes. 2013;62(3):965-76.
Voight BF, Scott LJ, Steinthorsdottir V, et al. "Twelve type 2 diabetes susceptibility loci identified through large-scale association analysis." Nat Genet. 2010;42(7):579-89.
Verweij N, Mateo Leach I, Isaacs A, et al. "Twenty-eight genetic loci associated with ST-T-wave amplitudes of the electrocardiogram." Hum Mol Genet. 2016;25(10):2093-2103.
W
Hofer E, Cavalieri M, Bis JC, et al. "White Matter Lesion Progression: Genome-Wide Search for Genetic Influences." Stroke. 2015;46(11):3048-57.
Simino J, Wang Z, Bressler J, et al. "Whole exome sequence-based association analyses of plasma amyloid-β in African and European Americans; the Atherosclerosis Risk in Communities-Neurocognitive Study." PLoS One. 2017;12(7):e0180046.
Sarnowski C, Satizabal CL, DeCarli C, et al. "Whole genome sequence analyses of brain imaging measures in the Framingham Study." Neurology. 2018;90(3):e188-e196.
Yu B, de Vries PS, Metcalf GA, et al. "Whole genome sequence analysis of serum amino acid levels." Genome Biol. 2016;17(1):237.
Lange LA, Hu Y, Zhang H, et al. "Whole-exome sequencing identifies rare and low-frequency coding variants associated with LDL cholesterol." Am J Hum Genet. 2014;94(2):233-45.
Morrison AC, Voorman A, Johnson AD, et al. "Whole-genome sequence-based analysis of high-density lipoprotein cholesterol." Nat Genet. 2013;45(8):899-901.
de Vries PS, Yu B, Feofanova EV, et al. "Whole-genome sequencing study of serum peptide levels: the Atherosclerosis Risk in Communities study." Hum Mol Genet. 2017;26(17):3442-3450.

Pages