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Fine-mapping of lipid regions in global populations discovers ethnic-specific signals and refines previously identified lipid loci.
Zubair, Niha; Graff, Mariaelisa; Luis Ambite, Jose; Bush, William S; Kichaev, Gleb; Lu, Yingchang; Manichaikul, Ani; Sheu, Wayne H-H; Absher, Devin; Assimes, Themistocles L; Bielinski, Suzette J; Bottinger, Erwin P; Buzkova, Petra; Chuang, Lee-Ming; Chung, Ren-Hua; Cochran, Barbara; Dumitrescu, Logan; Gottesman, Omri; Haessler, Jeffrey W; Haiman, Christopher; Heiss, Gerardo; Hsiung, Chao A; Hung, Yi-Jen; Hwu, Chii-Min; Juang, Jyh-Ming J; Le Marchand, Loic; Lee, I-Te; Lee, Wen-Jane; Lin, Li-An; Lin, Danyu; Lin, Shih-Yi; Mackey, Rachel H; Martin, Lisa W; Pasaniuc, Bogdan; Peters, Ulrike; Predazzi, Irene; Quertermous, Thomas; Reiner, Alex P; Robinson, Jennifer; Rotter, Jerome I; Ryckman, Kelli K; Schreiner, Pamela J; Stahl, Eli; Tao, Ran; Tsai, Michael Y; Waite, Lindsay L; Wang, Tzung-Dau; Buyske, Steven; Ida Chen, Yii-Der; Cheng, Iona.
Afiliação
  • Zubair N; Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
  • Graff M; Department of Epidemiology.
  • Luis Ambite J; Department of Computer Science, University of Southern California, Los Angeles, CA, USA.
  • Bush WS; Department of Epidemiology and Biostatistics, Case Western Reserve University, Cleveland, OH, USA.
  • Kichaev G; Bioinformatics Interdepartmental Program, University of California Los Angeles, Los Angeles, CA, USA.
  • Lu Y; The Genetics of Obesity and Related Metabolic Traits Program, The Charles Bronfman Institute of Personalized Medicine, The Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • Manichaikul A; Center for Public Health Genomics and Biostatistics Section, Department of Public Health Sciences, University of Virginia, Charlottesville, USA.
  • Sheu WH; Division of Endocrine and Metabolism, Department of Internal Medicine, Taichung Veterans General Hospital, Taichung, Taiwan.
  • Absher D; HudsonAlpha Institute for Biotechnology, Huntsville, AL, USA.
  • Assimes TL; Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA.
  • Bielinski SJ; Division of Epidemiology, Mayo Clinic, Rochester MN, USA.
  • Bottinger EP; The Charles Bronfman Institute of Personalized Medicine, The Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • Buzkova P; Department of Biostatistics, University of Washington, Seattle, WA, USA.
  • Chuang LM; Department of Internal Medicine, College of Medicine, National Taiwan University, Taipei, Taiwan.
  • Chung RH; Institute of Population Health Sciences, National Health Research Institutes, Zhunan Town, Miaoli County, Taiwan.
  • Cochran B; Genetic Laboratory at the University of Texas Health Science Center, University of Texas, Houston, TX, USA.
  • Dumitrescu L; Center for Human Genetics Research, Vanderbilt University, Nashville, TN, USA.
  • Gottesman O; The Charles Bronfman Institute of Personalized Medicine, The Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • Haessler JW; WHI Clinical Coordinating Center, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
  • Haiman C; Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
  • Heiss G; Department of Epidemiology.
  • Hsiung CA; Institute of Population Health Sciences, National Health Research Institutes, Zhunan Town, Miaoli County, Taiwan.
  • Hung YJ; Division of Endocrinology and Metabolism, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan.
  • Hwu CM; School of Medicine, National Yang-Ming University, Taipei, Taiwan.
  • Juang JJ; Cardiovascular Center and Division of Cardiology, Department of Internal Medicine, National Taiwan University Hospital, National Taiwan University College of Medicine, Taipei, Taiwan.
  • Le Marchand L; Cancer Epidemiology Program, University of Hawai'i Cancer Center, University of Hawai'i at Manoa, Honolulu, Hawai'i. USA.
  • Lee IT; Division of Endocrine and Metabolism, Department of Internal Medicine, Taichung Veterans General Hospital, Taichung, Taiwan.
  • Lee WJ; Department of Medical Research, Taichung Veterans General Hospital, Taichung, Taiwan.
  • Lin LA; Institute of Molecular Medicine, University of Texas Health Science Center at Houston, Houston, TX, USA.
  • Lin D; Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
  • Lin SY; Division of Endocrine and Metabolism, Department of Internal Medicine, Taichung Veterans General Hospital, Taichung, Taiwan.
  • Mackey RH; Department of Epidemiology, University of Pittsburgh, Pittsburgh, PA, USA.
  • Martin LW; Cardiology Division, School of Medicine and Health Sciences, George Washington University, Washington, DC, USA.
  • Pasaniuc B; Bioinformatics Interdepartmental Program, University of California Los Angeles, Los Angeles, CA, USA.
  • Peters U; Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
  • Predazzi I; Knight Cardiovascular Institute, Center for Preventative Cardiology, Oregon Health & Science University, Portland, OR, USA.
  • Quertermous T; Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA.
  • Reiner AP; Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
  • Robinson J; Department of Epidemiology, University of Iowa, Iowa City, Iowa, USA.
  • Rotter JI; Institute for Translational Genomics and Population Sciences, Departments of Pediatrics and Medicine, LABioMed at Harbor-UCLA Medical Center, Torrance, CA, USA.
  • Ryckman KK; Department of Epidemiology, University of Iowa, Iowa City, Iowa, USA.
  • Schreiner PJ; Division of Epidemiology & Community Health, University of Minnesota School of Public Health, Minneapolis, MN, USA.
  • Stahl E; Division of Psychiatric Genomics, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • Tao R; Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
  • Tsai MY; Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN, USA.
  • Waite LL; HudsonAlpha Institute for Biotechnology, Huntsville, AL, USA.
  • Wang TD; Cardiovascular Center and Division of Cardiology, Department of Internal Medicine, National Taiwan University Hospital, National Taiwan University College of Medicine, Taipei, Taiwan.
  • Buyske S; Department of Statistics & Biostatistics, Rutgers University, Piscataway, NJ, USA.
  • Ida Chen YD; Institute for Translational Genomics and Population Sciences, Departments of Pediatrics and Medicine, LABioMed at Harbor-UCLA Medical Center, Torrance, CA, USA.
  • Cheng I; Cancer Prevention Institute of California, Fremont, CA, USA.
Hum Mol Genet ; 25(24): 5500-5512, 2016 12 15.
Article em En | MEDLINE | ID: mdl-28426890
ABSTRACT
Genome-wide association studies have identified over 150 loci associated with lipid traits, however, no large-scale studies exist for Hispanics and other minority populations. Additionally, the genetic architecture of lipid-influencing loci remains largely unknown. We performed one of the most racially/ethnically diverse fine-mapping genetic studies of HDL-C, LDL-C, and triglycerides to-date using SNPs on the MetaboChip array on 54,119 individuals 21,304 African Americans, 19,829 Hispanic Americans, 12,456 Asians, and 530 American Indians. The majority of signals found in these groups generalize to European Americans. While we uncovered signals unique to racial/ethnic populations, we also observed systematically consistent lipid associations across these groups. In African Americans, we identified three novel signals associated with HDL-C (LPL, APOA5, LCAT) and two associated with LDL-C (ABCG8, DHODH). In addition, using this population, we refined the location for 16 out of the 58 known MetaboChip lipid loci. These results can guide tailored screening efforts, reveal population-specific responses to lipid-lowering medications, and aid in the development of new targeted drug therapies.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Estudo de Associação Genômica Ampla / Lipídeos / HDL-Colesterol / LDL-Colesterol Tipo de estudo: Prognostic_studies Limite: Female / Humans / Male Idioma: En Ano de publicação: 2016 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Estudo de Associação Genômica Ampla / Lipídeos / HDL-Colesterol / LDL-Colesterol Tipo de estudo: Prognostic_studies Limite: Female / Humans / Male Idioma: En Ano de publicação: 2016 Tipo de documento: Article