Center-Authored Papers

Filters: Author is Armstrong, Loren L  [Clear All Filters]
Journal Article
Rasmussen-Torvik LJ, Pacheco JA, Wilke RA, Thompson WK, Ritchie MD, Kho AN, Muthalagu A, Hayes GM, Armstrong LL, Scheftner DA et al..  2012.  High density GWAS for LDL cholesterol in African Americans using electronic medical records reveals a strong protective variant in APOE.. Clinical and translational science. 5(5):394-9. Abstract
Ng MCY, Shriner D, Chen BH, Li J, Chen W-M, Guo X, Liu J, Bielinski SJ, Yanek LR, Nalls MA et al..  2014.  Meta-analysis of genome-wide association studies in african americans provides insights into the genetic architecture of type 2 diabetes.. PLoS genetics. 10(8):e1004517. Abstract
Zuvich RL, Armstrong LL, Bielinski SJ, Bradford Y, Carlson CS, Crawford DC, Crenshaw AT, de Andrade M, Doheny KF, Haines JL et al..  2011.  Pitfalls of merging GWAS data: lessons learned in the eMERGE network and quality control procedures to maintain high data quality.. Genetic epidemiology. 35(8):887-98. Abstract
Turner S, Armstrong LL, Bradford Y, Carlson CS, Crawford DC, Crenshaw AT, de Andrade M, Doheny KF, Haines JL, Hayes G et al..  2011.  Quality control procedures for genome-wide association studies.. Current protocols in human genetics / editorial board, Jonathan L. Haines ... [et al.]. Chapter 1:Unit1.19. Abstract
Liu C-T, Raghavan S, Maruthur N, Kabagambe EK, Hong J, Ng MCY, Hivert M-F, Lu Y, An P, Bentley AR et al..  2016.  Trans-ethnic Meta-Analysis and Functional Annotation Illuminates the Genetic Architecture of Fasting Glucose and Insulin.. American journal of human genetics. 99(1):56-75. Abstract
Kho AN, Hayes GM, Rasmussen-Torvik L, Pacheco JA, Thompson WK, Armstrong LL, Denny JC, Peissig PL, Miller AW, Wei W-Q et al..  2012.  Use of diverse electronic medical record systems to identify genetic risk for type 2 diabetes within a genome-wide association study.. Journal of the American Medical Informatics Association : JAMIA. 19(22):212-218. Abstract