- Title
- 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
- Creators
- Megan D Fesinmeyer - Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle WA, USAJames B Meigs - General Medicine Division, Department of Medicine, Harvard Medical School, Boston MA, USAKari E North - Carolina Center for Genome Sciences, School of Public Health, University of North Carolina, Chapel Hill, NC, USAFredrick R Schumacher - Department of Preventive Medicine, Keck School of Medicine / Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA, USAPetra Bůžková - Department of Biostatistics, University of Washington, Seattle, WA, USANora Franceschini - Department of Epidemiology, School of Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USAJeffrey Haessler - Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle WA, USARobert Goodloe - Center for Human Genetics Research, Vanderbilt University Medical Center, Nashville, TN, USAKylee L Spencer - Center for Human Genetics Research, Vanderbilt University Medical Center, Nashville, TN, USAVenkata Saroja Voruganti - Department of Genetics, Texas Biomedical Research Institute, San Antonio, TX, USABarbara V Howard - MedStar Research Institute, Georgetown University, Hyattsville, MD, USARebecca Jackson - Department of Internal Medicine, Ohio State Medical Center, Columbus, OH, USALaurence N Kolonel - Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI, USASimin Liu - Department of Epidemiology, University of California, Los Angeles, CA, USAJoAnn E Manson - Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USAKristine R Monroe - Department of Preventive Medicine, Keck School of Medicine / Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA, USAKenneth Mukamal - Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USAHolli H Dilks - Center for Human Genetics Research, Vanderbilt University Medical Center, Nashville, TN, USASarah A Pendergrass - Department of Biochemistry and Molecular Biology, Pennsylvania State University, University Park, PA, USAAndrew Nato - Department of Genetics, Rutgers University, Piscataway, NJ, USAPeggy Wan - Department of Preventive Medicine, Keck School of Medicine / Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA, USALynne R Wilkens - Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI, USALoic Le Marchand - Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI, USAJosé Luis Ambite - Information Sciences Institute, University of Southern California, Marina del Rey, CA, USASteven Buyske - Department of Genetics, Rutgers University, Piscataway, NJ, USAJose C Florez - General Medicine Division, Department of Medicine, Harvard Medical School, Boston MA, USADana C Crawford - Center for Human Genetics Research, Vanderbilt University Medical Center, Nashville, TN, USALucia A Hindorff - Office of Population Genomics, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USAChristopher A Haiman - Department of Preventive Medicine, Keck School of Medicine / Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA, USAUlrike Peters - Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle WA, USAJames S Pankow - Division of Epidemiology and Community Health, University of Minnesota School of Public Health, Minneapolis MN, USA
- Publication Details
- BMC medical genetics, Vol.14(1), pp.98-98
- Date published
- 09/25/2013
- Publisher
- BioMed Central
- Academic Unit
- Statistics (SAS)
- Language
- English
- Resource Type
- Journal article
- Identifiers
- 991031665615904646
Journal article
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 medical genetics, Vol.14(1), pp.98-98
09/25/2013
PMID: 24063630
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