You are here

Biblio

Search

Show only items where

Author

Type

Term

Year

Keyword

Export 30 results:

Author Title [ Type

] Year

Filters: Author is Haiman, Christopher A [Clear All Filters]

Journal Article

Clark DW, Okada Y, Moore KHS, Mason D, Pirastu N, Gandin I, Mattsson H, Barnes CLK, Lin K, Zhao JH, et al. Associations of autozygosity with a broad range of human phenotypes. Nat Commun. 2019 ;10(1):4957.

Haiman CA, Fesinmeyer MD, Spencer KL, Bůzková P, V Voruganti S, Wan P, Haessler J, Franceschini N, Monroe KR, Howard BV, et al. Consistent directions of effect for established type 2 diabetes risk variants across populations: the population architecture using Genomics and Epidemiology (PAGE) Consortium. Diabetes. 2012 ;61(6):1642-7.

C Y Ng M, Graff M, Lu Y, Justice AE, Mudgal P, Liu C-T, Young K, Yanek LR, Feitosa MF, Wojczynski MK, et al. Discovery and fine-mapping of adiposity loci using high density imputation of genome-wide association studies in individuals of African ancestry: African ancestry anthropometry genetics consortium. PLoS Genet. 2017 ;13(4):e1006719.

Graff M, Justice AE, Young KL, Marouli E, Zhang X, Fine RS, Lim E, Buchanan V, Rand K, Feitosa MF, et al. Discovery and fine-mapping of height loci via high-density imputation of GWASs in individuals of African ancestry. Am J Hum Genet. 2021 ;108(4):564-582.

Kocarnik JM, Richard M, Graff M, Haessler J, Bien S, Carlson C, Carty CL, Reiner AP, Avery CL, Ballantyne CM, et al. Discovery, fine-mapping, and conditional analyses of genetic variants associated with C-reactive protein in multiethnic populations using the Metabochip in the Population Architecture using Genomics and Epidemiology (PAGE) study. Hum Mol Genet. 2018 ;27(16):2940-2953.

Fesinmeyer MD, North KE, Lim U, Bůzková P, Crawford DC, Haessler J, Gross MD, Fowke JH, Goodloe R, Love S-A, et al. Effects of smoking on the genetic risk of obesity: the population architecture using genomics and epidemiology study. BMC Med Genet. 2013 ;14:6.

Pasaniuc B, Zaitlen N, Lettre G, Chen GK, Tandon A, Kao LWH, Ruczinski I, Fornage M, Siscovick DS, Zhu X, et al. Enhanced statistical tests for GWAS in admixed populations: assessment using African Americans from CARe and a Breast Cancer Consortium. PLoS Genet. 2011 ;7(4):e1001371.

Buyske S, Wu Y, Carty CL, Cheng I, Assimes TL, Dumitrescu L, Hindorff LA, Mitchell S, Ambite JLuis, Boerwinkle E, et al. Evaluation of the metabochip genotyping array in African Americans and implications for fine mapping of GWAS-identified loci: the PAGE study. PLoS One. 2012 ;7(4):e35651.

Gong J, Schumacher F, Lim U, Hindorff LA, Haessler J, Buyske S, Carlson CS, Rosse S, Bůzková P, Fornage M, et al. Fine Mapping and Identification of BMI Loci in African Americans. Am J Hum Genet. 2013 ;93(4):661-71.

Avery CL, Wassel CL, Richard MA, Highland HM, Bien S, Zubair N, Soliman EZ, Fornage M, Bielinski SJ, Tao R, et al. Fine mapping of QT interval regions in global populations refines previously identified QT interval loci and identifies signals unique to African and Hispanic descent populations. Heart Rhythm. 2017 ;14(4):572-580.

Avery CL, Sethupathy P, Buyske S, He Q, Lin D-Y, Arking DE, Carty CL, Duggan D, Fesinmeyer MD, Hindorff LA, et al. Fine-mapping and initial characterization of QT interval loci in African Americans. PLoS Genet. 2012 ;8(8):e1002870.

Carlson CS, Matise TC, North KE, Haiman CA, Fesinmeyer MD, Buyske S, Schumacher FR, Peters U, Franceschini N, Ritchie MD, et al. Generalization and dilution of association results from European GWAS in populations of non-European ancestry: the PAGE study. PLoS Biol. 2013 ;11(9):e1001661.

Dumitrescu L, Carty CL, Taylor K, Schumacher FR, Hindorff LA, Ambite JL, Anderson G, Best LG, Brown-Gentry K, Bůzková P, et al. Genetic determinants of lipid traits in diverse populations from the population architecture using genomics and epidemiology (PAGE) study. PLoS Genet. 2011 ;7(6):e1002138.

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 .

Ruth KS, Day FR, Hussain J, Martínez-Marchal A, Aiken CE, Azad A, Thompson DJ, Knoblochova L, Abe H, Tarry-Adkins JL, et al. Genetic insights into biological mechanisms governing human ovarian ageing. Nature. 2021 ;596(7872):393-397.

Fesinmeyer MD, North KE, Ritchie MD, Lim U, Franceschini N, Wilkens LR, Gross MD, Bůzková P, Glenn K, P Quibrera M, et al. Genetic risk factors for BMI and obesity in an ethnically diverse population: results from the population architecture using genomics and epidemiology (PAGE) study. Obesity (Silver Spring). 2013 ;21(4):835-46.

Fesinmeyer MD, Meigs JB, North KE, Schumacher FR, Bůzková P, Franceschini N, Haessler J, Goodloe R, Spencer KL, Voruganti VSaroja, et al. Genetic variants associated with fasting glucose and insulin concentrations in an ethnically diverse population: results from the Population Architecture using Genomics and Epidemiology (PAGE) study. BMC Med Genet. 2013 ;14:98.

Liu C-T, Monda KL, Taylor KC, Lange L, Demerath EW, Palmas W, Wojczynski MK, Ellis JC, Vitolins MZ, Liu S, et al. Genome-wide association of body fat distribution in African ancestry populations suggests new loci. PLoS Genet. 2013 ;9(8):e1003681.

Graff M, Gordon-Larsen P, Lim U, Fowke JH, Love S-A, Fesinmeyer M, Wilkens LR, Vertilus S, Ritchie MD, Prentice RL, et al. The influence of obesity-related single nucleotide polymorphisms on BMI across the life course: the PAGE study. Diabetes. 2013 ;62(5):1763-7.

Tcheandjieu C, Zhu X, Hilliard AT, Clarke SL, Napolioni V, Ma S, Lee KMin, Fang H, Chen F, Lu Y, et al. Large-scale genome-wide association study of coronary artery disease in genetically diverse populations. Nat Med. 2022 ;28(8):1679-1692.

Monda KL, Chen GK, Taylor KC, Palmer C, Edwards TL, Lange LA, C Y Ng M, Adeyemo AA, Allison MA, Bielak LF, et al. A meta-analysis identifies new loci associated with body mass index in individuals of African ancestry. Nat Genet. 2013 ;45(6):690-6.

Kocarnik JM, Pendergrass SA, Carty CL, Pankow JS, Schumacher FR, Cheng I, Durda P, Ambite JLuis, Deelman E, Cook NR, et al. Multiancestral analysis of inflammation-related genetic variants and C-reactive protein in the population architecture using genomics and epidemiology study. Circ Cardiovasc Genet. 2014 ;7(2):178-88.

Mahajan A, Spracklen CN, Zhang W, C Y Ng M, Petty LE, Kitajima H, Yu GZ, Rüeger S, Speidel L, Kim YJin, et al. Multi-ancestry genetic study of type 2 diabetes highlights the power of diverse populations for discovery and translation. Nat Genet. 2022 ;54(5):560-572.

Suzuki K, Hatzikotoulas K, Southam L, Taylor HJ, Yin X, Lorenz KM, Mandla R, Huerta-Chagoya A, Rayner NW, Bocher O, et al. Multi-ancestry genome-wide study in >2.5 million individuals reveals heterogeneity in mechanistic pathways of type 2 diabetes and complications. medRxiv. 2023 .

Matise TC, Ambite JLuis, Buyske S, Carlson CS, Cole SA, Crawford DC, Haiman CA, Heiss G, Kooperberg C, Le Marchand L, et al. The Next PAGE in understanding complex traits: design for the analysis of Population Architecture Using Genetics and Epidemiology (PAGE) Study. Am J Epidemiol. 2011 ;174(7):849-59.

Pages