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The association of a SNP upstream of INSIG2 with body mass index is reproduced in several but not all cohorts

Lyon, Helen N. ; Emilsson, Valur ; Hinney, Anke ; Heid, Iris M. ; Lasky-Su, Jessica ; Zhu, Xiaofeng ; Thorleifsson, Gudmar ; Gunnarsdottir, Steinunn ; Walters, G. Bragi and Thorsteinsdottir, Unnur , et al. (2007) In PLoS Genetics 3(4).
Abstract
A SNP upstream of the INSIG2 gene, rs7566605, was recently found to be associated with obesity as measured by body mass index (BMI) by Herbert and colleagues. The association between increased BMI and homozygosity for the minor allele was first observed in data from a genome-wide association scan of 86,604 SNPs in 923 related individuals from the Framingham Heart Study offspring cohort. The association was reproduced in four additional cohorts, but was not seen in a fifth cohort. To further assess the general reproducibility of this association, we genotyped rs7566605 in nine large cohorts from eight populations across multiple ethnicities (total n = 16,969). We tested this variant for association with BMI in each sample under a recessive... (More)
A SNP upstream of the INSIG2 gene, rs7566605, was recently found to be associated with obesity as measured by body mass index (BMI) by Herbert and colleagues. The association between increased BMI and homozygosity for the minor allele was first observed in data from a genome-wide association scan of 86,604 SNPs in 923 related individuals from the Framingham Heart Study offspring cohort. The association was reproduced in four additional cohorts, but was not seen in a fifth cohort. To further assess the general reproducibility of this association, we genotyped rs7566605 in nine large cohorts from eight populations across multiple ethnicities (total n = 16,969). We tested this variant for association with BMI in each sample under a recessive model using family-based, population-based, and case-control designs. We observed a significant (p < 0.05) association in five cohorts but saw no association in three other cohorts. There was variability in the strength of association evidence across examination cycles in longitudinal data from unrelated individuals in the Framingham Heart Study Offspring cohort. A combined analysis revealed significant independent validation of this association in both unrelated (p = 0.046) and family-based (p = 0.004) samples. The estimated risk conferred by this allele is small, and could easily be masked by small sample size, population stratification, or other confounders. These validation studies suggest that the original association is less likely to be spurious, but the failure to observe an association in every data set suggests that the effect of SNP rs7566605 on BMI may be heterogeneous across population samples. (Less)
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organization
publishing date
type
Contribution to journal
publication status
published
subject
in
PLoS Genetics
volume
3
issue
4
publisher
Public Library of Science (PLoS)
external identifiers
  • wos:000246041700017
  • scopus:34247576412
ISSN
1553-7404
DOI
10.1371/journal.pgen.0030061
language
English
LU publication?
yes
id
0fb60118-e55e-415e-8d89-3475b8618c02 (old id 663261)
date added to LUP
2016-04-01 11:41:22
date last changed
2024-01-07 16:45:12
@article{0fb60118-e55e-415e-8d89-3475b8618c02,
  abstract     = {{A SNP upstream of the INSIG2 gene, rs7566605, was recently found to be associated with obesity as measured by body mass index (BMI) by Herbert and colleagues. The association between increased BMI and homozygosity for the minor allele was first observed in data from a genome-wide association scan of 86,604 SNPs in 923 related individuals from the Framingham Heart Study offspring cohort. The association was reproduced in four additional cohorts, but was not seen in a fifth cohort. To further assess the general reproducibility of this association, we genotyped rs7566605 in nine large cohorts from eight populations across multiple ethnicities (total n = 16,969). We tested this variant for association with BMI in each sample under a recessive model using family-based, population-based, and case-control designs. We observed a significant (p &lt; 0.05) association in five cohorts but saw no association in three other cohorts. There was variability in the strength of association evidence across examination cycles in longitudinal data from unrelated individuals in the Framingham Heart Study Offspring cohort. A combined analysis revealed significant independent validation of this association in both unrelated (p = 0.046) and family-based (p = 0.004) samples. The estimated risk conferred by this allele is small, and could easily be masked by small sample size, population stratification, or other confounders. These validation studies suggest that the original association is less likely to be spurious, but the failure to observe an association in every data set suggests that the effect of SNP rs7566605 on BMI may be heterogeneous across population samples.}},
  author       = {{Lyon, Helen N. and Emilsson, Valur and Hinney, Anke and Heid, Iris M. and Lasky-Su, Jessica and Zhu, Xiaofeng and Thorleifsson, Gudmar and Gunnarsdottir, Steinunn and Walters, G. Bragi and Thorsteinsdottir, Unnur and Kong, Augustine and Gulcher, Jeffrey and Nguyen, Thuy Trang and Scherag, Andre and Pfeufer, Arne and Meitinger, Thomas and Broenner, Guenter and Rief, Winfried and Soto-Quiros, Manuel E. and Avila, Lydiana and Klanderman, Barbara and Raby, Benjamin A. and Silverman, Edwin K. and Weiss, Scott T. and Laird, Nan and Ding, Xiao and Groop, Leif and Tuomi, Tiinamaija and Isomaa, Bo and Bengtsson, Kristina and Butler, Johannah L. and Cooper, Richard S. and Fox, Caroline S. and O'Donnell, Christopher J. and Vollmert, Caren and Celedon, Juan C. and Wichmann, H. Erich and Hebebrand, Johannes and Stefansson, Kari and Lange, Christoph and Hirschhorn, Joel N.}},
  issn         = {{1553-7404}},
  language     = {{eng}},
  number       = {{4}},
  publisher    = {{Public Library of Science (PLoS)}},
  series       = {{PLoS Genetics}},
  title        = {{The association of a SNP upstream of INSIG2 with body mass index is reproduced in several but not all cohorts}},
  url          = {{http://dx.doi.org/10.1371/journal.pgen.0030061}},
  doi          = {{10.1371/journal.pgen.0030061}},
  volume       = {{3}},
  year         = {{2007}},
}