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Trans-ethnic analysis of metabochip data identifies two new loci associated with BMI.
Gong, J; Nishimura, K K; Fernandez-Rhodes, L; Haessler, J; Bien, S; Graff, M; Lim, U; Lu, Y; Gross, M; Fornage, M; Yoneyama, S; Isasi, C R; Buzkova, P; Daviglus, M; Lin, D-Y; Tao, R; Goodloe, R; Bush, W S; Farber-Eger, E; Boston, J; Dilks, H H; Ehret, G; Gu, C C; Lewis, C E; Nguyen, K-D H; Cooper, R; Leppert, M; Irvin, M R; Bottinger, E P; Wilkens, L R; Haiman, C A; Park, L; Monroe, K R; Cheng, I; Stram, D O; Carlson, C S; Jackson, R; Kuller, L; Houston, D; Kooperberg, C; Buyske, S; Hindorff, L A; Crawford, D C; Loos, R J F; Le Marchand, L; Matise, T C; North, K E; Peters, U.
Afiliação
  • Gong J; Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
  • Nishimura KK; Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
  • Fernandez-Rhodes L; Department of Epidemiology, School of Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
  • Haessler J; Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
  • Bien S; Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
  • Graff M; Department of Epidemiology, School of Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
  • Lim U; Cancer Research Center, University of Hawaii, Honolulu, HI, USA.
  • Lu Y; The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • Gross M; The Genetics of Obesity and Related Metabolic Traits Program, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • Fornage M; Division of Epidemiology, Department of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt Epidemiology Center, Vanderbilt University School of Medicine, Nashville, TN, USA.
  • Yoneyama S; Masonic Cancer Center, University of Minnesota, Minneapolis, MN, USA.
  • Isasi CR; Health Science Center, University of Texas, Austin, TX, USA.
  • Buzkova P; Department of Epidemiology, School of Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
  • Daviglus M; Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA.
  • Lin DY; Department of Biostatistics, University of Washington, Seattle, WA, USA.
  • Tao R; Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
  • Goodloe R; Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
  • Bush WS; Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
  • Farber-Eger E; Center for Human Genetics Research, Vanderbilt University Medical Center, Nashville, TN, USA.
  • Boston J; Department of Epidemiology and Biostatistics, Institute for Computational Biology, Case Western Reserve University, Cleveland, OH, USA.
  • Dilks HH; Center for Human Genetics Research, Vanderbilt University Medical Center, Nashville, TN, USA.
  • Ehret G; Center for Human Genetics Research, Vanderbilt University Medical Center, Nashville, TN, USA.
  • Gu CC; Sarah Cannon Research Institute, Nashville, TN, USA.
  • Lewis CE; Center for Complex Disease Genomics, McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
  • Nguyen KH; Division of Cardiology, Geneva University Hospital, Geneva, Switzerland.
  • Cooper R; Department of Biostatistics, Washington University, St Louis, MO, USA.
  • Leppert M; Department of Medicine, University of Alabama, Birmingham, AL, USA.
  • Irvin MR; Center for Complex Disease Genomics, McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
  • Bottinger EP; Preventive Medicine and Epidemiology, Loyola University, Chicago, IL, USA.
  • Wilkens LR; Department of Human Genetics, University of Utah, Salt Lake City, UT, USA.
  • Haiman CA; Department of Epidemiology, University of Alabama, Birmingham, AL, USA.
  • Park L; The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • Monroe KR; Cancer Research Center, University of Hawaii, Honolulu, HI, USA.
  • Cheng I; Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
  • Stram DO; Cancer Research Center, University of Hawaii, Honolulu, HI, USA.
  • Carlson CS; Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
  • Jackson R; Cancer Prevention Institute of California, Fremont, CA, USA.
  • Kuller L; Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
  • Houston D; Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
  • Kooperberg C; Department of Internal Medicine, Ohio State Medical Center, Columbus, OH, USA.
  • Buyske S; Department of Medicine, University of Pittsburgh, Pittsburgh, PA, USA.
  • Hindorff LA; Wake Forest University School of Medicine, Winston-Salem, NC, USA.
  • Crawford DC; Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
  • Loos RJF; Department of Genetics, Rutgers University, Piscataway, NJ, USA.
  • Le Marchand L; Department of Statistics and Biostatistics, Rutgers University, Piscataway, NJ, USA.
  • Matise TC; Division of Genomic Medicine, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA.
  • North KE; Center for Human Genetics Research, Vanderbilt University Medical Center, Nashville, TN, USA.
  • Peters U; The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Int J Obes (Lond) ; 42(3): 384-390, 2018 03.
Article em En | MEDLINE | ID: mdl-29381148
ABSTRACT

OBJECTIVE:

Body mass index (BMI) is commonly used to assess obesity, which is associated with numerous diseases and negative health outcomes. BMI has been shown to be a heritable, polygenic trait, with close to 100 loci previously identified and replicated in multiple populations. We aim to replicate known BMI loci and identify novel associations in a trans-ethnic study population.

SUBJECTS:

Using eligible participants from the Population Architecture using Genomics and Epidemiology consortium, we conducted a trans-ethnic meta-analysis of 102 514 African Americans, Hispanics, Asian/Native Hawaiian, Native Americans and European Americans. Participants were genotyped on over 200 000 SNPs on the Illumina Metabochip custom array, or imputed into the 1000 Genomes Project (Phase I). Linear regression of the natural log of BMI, adjusting for age, sex, study site (if applicable), and ancestry principal components, was conducted for each race/ethnicity within each study cohort. Race/ethnicity-specific, and combined meta-analyses used fixed-effects models.

RESULTS:

We replicated 15 of 21 BMI loci included on the Metabochip, and identified two novel BMI loci at 1q41 (rs2820436) and 2q31.1 (rs10930502) at the Metabochip-wide significance threshold (P<2.5 × 10-7). Bioinformatic functional investigation of SNPs at these loci suggests a possible impact on pathways that regulate metabolism and adipose tissue.

CONCLUSION:

Conducting studies in genetically diverse populations continues to be a valuable strategy for replicating known loci and uncovering novel BMI associations.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Índice de Massa Corporal / Grupos Raciais Tipo de estudo: Risk_factors_studies / Systematic_reviews Limite: Humans Idioma: En Revista: Int J Obes (Lond) Ano de publicação: 2018 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Índice de Massa Corporal / Grupos Raciais Tipo de estudo: Risk_factors_studies / Systematic_reviews Limite: Humans Idioma: En Revista: Int J Obes (Lond) Ano de publicação: 2018 Tipo de documento: Article