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Filters: Author is Cupples, L Adrienne and Keyword is Genome-Wide Association Study [Clear All Filters]

2013

Tanaka T, Ngwa JS, van Rooij FJA, Zillikens CM, Wojczynski MK, Frazier-Wood AC, Houston DK, Kanoni S, Lemaitre RN, Luan J'an, et al. Genome-wide meta-analysis of observational studies shows common genetic variants associated with macronutrient intake. Am J Clin Nutr. 2013 ;97(6):1395-402.

Randall JC, Winkler TW, Kutalik Z, Berndt SI, Jackson AU, Monda KL, Kilpeläinen TO, Esko T, Mägi R, Li S, et al. Sex-stratified genome-wide association studies including 270,000 individuals show sexual dimorphism in genetic loci for anthropometric traits. PLoS Genet. 2013 ;9(6):e1003500.

Morrison AC, Voorman A, Johnson AD, Liu X, Yu J, Li A, Muzny D, Yu F, Rice K, Zhu C, et al. Whole-genome sequence-based analysis of high-density lipoprotein cholesterol. Nat Genet. 2013 ;45(8):899-901.

2014

van Leeuwen EM, Smouter FAS, Kam-Thong T, Karbalai N, Smith AV, Harris TB, Launer LJ, Sitlani CM, Li G, Brody JA, et al. The challenges of genome-wide interaction studies: lessons to learn from the analysis of HDL blood levels. PLoS One. 2014 ;9(10):e109290.

Chen CTL, Liu C-T, Chen GK, Andrews JS, Arnold AM, Dreyfus J, Franceschini N, Garcia ME, Kerr KF, Li G, et al. Meta-analysis of loci associated with age at natural menopause in African-American women. Hum Mol Genet. 2014 ;23(12):3327-42.

Liu C-T, Young KL, Brody JA, Olden M, Wojczynski MK, Heard-Costa N, Li G, Morrison AC, Muzny D, Gibbs RA, et al. Sequence variation in TMEM18 in association with body mass index: Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium Targeted Sequencing Study. Circ Cardiovasc Genet. 2014 ;7(3):344-9.

Bis JC, White CC, Franceschini N, Brody J, Zhang X, Muzny D, Santibanez J, Gibbs R, Liu X, Lin H, et al. Sequencing of 2 subclinical atherosclerosis candidate regions in 3669 individuals: Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium Targeted Sequencing Study. Circ Cardiovasc Genet. 2014 ;7(3):359-64.

Magnani JW, Brody JA, Prins BP, Arking DE, Lin H, Yin X, Liu C-T, Morrison AC, Zhang F, Spector TD, et al. Sequencing of SCN5A identifies rare and common variants associated with cardiac conduction: Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium. Circ Cardiovasc Genet. 2014 ;7(3):365-73.

Lin H, Wang M, Brody JA, Bis JC, Dupuis J, Lumley T, McKnight B, Rice KM, Sitlani CM, Reid JG, 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.

Keller MF, Reiner AP, Okada Y, van Rooij FJA, Johnson AD, Chen M-H, Smith AV, Morris AP, Tanaka T, Ferrucci L, et al. Trans-ethnic meta-analysis of white blood cell phenotypes. Hum Mol Genet. 2014 ;23(25):6944-60.

Lange LA, Hu Y, Zhang H, Xue C, Schmidt EM, Tang Z-Z, Bizon C, Lange EM, Smith JD, Turner EH, 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.

2015

Fretts AM, Follis JL, Nettleton JA, Lemaitre RN, Ngwa JS, Wojczynski MK, Kalafati IPanagiota, Varga TV, Frazier-Wood AC, Houston DK, et al. Consumption of meat is associated with higher fasting glucose and insulin concentrations regardless of glucose and insulin genetic risk scores: a meta-analysis of 50,345 Caucasians. Am J Clin Nutr. 2015 ;102(5):1266-78.

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.

Nettleton JA, Follis JL, Ngwa JS, Smith CE, Ahmad S, Tanaka T, Wojczynski MK, Voortman T, Lemaitre RN, Kristiansson K, et al. Gene × dietary pattern interactions in obesity: analysis of up to 68 317 adults of European ancestry. Hum Mol Genet. 2015 ;24(16):4728-38.

Sitlani CM, Rice KM, Lumley T, McKnight B, Cupples AL, Avery CL, Noordam R, Stricker BHC, Whitsel EA, Psaty BM. Generalized estimating equations for genome-wide association studies using longitudinal phenotype data. Stat Med. 2015 ;34(1):118-30.

Auer PL, Nalls M, Meschia JF, Worrall BB, Longstreth WT, Seshadri S, Kooperberg C, Burger KM, Carlson CS, Carty CL, et al. Rare and Coding Region Genetic Variants Associated With Risk of Ischemic Stroke: The NHLBI Exome Sequence Project. JAMA Neurol. 2015 ;72(7):781-8.

2016

Dehghan A, Bis JC, White CC, Smith AVernon, Morrison AC, Cupples AL, Trompet S, Chasman DI, Lumley T, Völker U, et al. Genome-Wide Association Study for Incident Myocardial Infarction and Coronary Heart Disease in Prospective Cohort Studies: The CHARGE Consortium. PLoS One. 2016 ;11(3):e0144997.

Ried JS, M JJeff, Chu AY, Bragg-Gresham JL, van Dongen J, Huffman JE, Ahluwalia TS, Cadby G, Eklund N, Eriksson J, et al. A principal component meta-analysis on multiple anthropometric traits identifies novel loci for body shape. Nat Commun. 2016 ;7:13357.

2017

Mozaffarian D, Dashti HS, Wojczynski MK, Chu AY, Nettleton JA, Männistö S, Kristiansson K, Reedik M, Lahti J, Houston DK, et al. Genome-wide association meta-analysis of fish and EPA+DHA consumption in 17 US and European cohorts. PLoS One. 2017 ;12(12):e0186456.

2019

Kilpeläinen TO, Bentley AR, Noordam R, Sung YJu, Schwander K, Winkler TW, Jakupović H, Chasman DI, Manning A, Ntalla I, et al. Multi-ancestry study of blood lipid levels identifies four loci interacting with physical activity. Nat Commun. 2019 ;10(1):376.

2020

Zhao X, Qiao D, Yang C, Kasela S, Kim W, Ma Y, Shrine N, Batini C, Sofer T, Taliun SAGagliano, et al. Whole genome sequence analysis of pulmonary function and COPD in 19,996 multi-ethnic participants. Nat Commun. 2020 ;11(1):5182.

2022

Li Z, Li X, Zhou H, Gaynor SM, Selvaraj MSunitha, Arapoglou T, Quick C, Liu Y, Chen H, Sun R, et al. A framework for detecting noncoding rare-variant associations of large-scale whole-genome sequencing studies. Nat Methods. 2022 ;19(12):1599-1611.

Hindy G, Dornbos P, Chaffin MD, Liu DJ, Wang M, Selvaraj MSunitha, Zhang D, Park J, Aguilar-Salinas CA, Antonacci-Fulton L, et al. Rare coding variants in 35 genes associate with circulating lipid levels-A multi-ancestry analysis of 170,000 exomes. Am J Hum Genet. 2022 ;109(1):81-96.

2023

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.

2025

Zhang X, Brody JA, Graff M, Highland HM, Chami N, Xu H, Wang Z, Ferrier KR, Chittoor G, Josyula NShilpa, et al. Whole genome sequencing analysis of body mass index identifies novel African ancestry-specific risk allele. Nat Commun. 2025 ;16(1):3470.

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