Brief Genetics Report
Common Single Nucleotide Polymorphisms in TCF7L2
Are Reproducibly Associated With Type 2 Diabetes and
Reduce the Insulin Response to Glucose in Nondiabetic
Individuals
Richa Saxena,
1,2,3
Lauren Gianniny,
1
Noe ¨l P. Burtt,
1
Valeriya Lyssenko,
4
Candace Giuducci,
1
Marketa Sjo ¨ gren,
4
Jose C. Florez,
1,2,5
Peter Almgren,
4
Bo Isomaa,
6
Marju Orho-Melander,
4
Ulf Lindblad,
4,7
Mark J. Daly,
1,2,5
Tiinamaija Tuomi,
6
Joel N. Hirschhorn,
1,5,8
Kristin G. Ardlie,
1,9
Leif C. Groop,
4,6
and David Altshuler
1,2,3,5
Recently, common noncoding variants in the TCF7L2 gene
were strongly associated with increased risk of type 2
diabetes in samples from Iceland, Denmark, and the U.S.
We genotyped 13 single nucleotide polymorphisms (SNPs)
across TCF7L2 in 8,310 individuals in family-based and
case-control designs from Scandinavia, Poland, and the
U.S. We convincingly confirmed the previous association of
TCF7L2 SNPs with the risk of type 2 diabetes (rs7903146T
odds ratio 1.40 [95% CI 1.30 –1.50], P 6.74 10
20
). In
nondiabetic individuals, the risk genotypes were associ-
ated with a substantial reduction in the insulinogenic index
derived from an oral glucose tolerance test (risk allele
homozygotes have half the insulin response to glucose of
noncarriers, P 0.003) but not with increased insulin
resistance. These results suggest that TCF7L2 variants
may act through insulin secretion to increase the risk of
type 2 diabetes. Diabetes 55:2890 –2895, 2006
T
ype 2 diabetes is highly heritable, but known
variants explain only a small fraction of the
overall genetic risk in the population. Recently,
Grant et al. (1) reported a strong association of
variants in TCF7L2 with increased risk of type 2 diabetes
in an Icelandic sample, and this association was confirmed
in Caucasian samples from Denmark and the U.S. (com-
bined odds ratio [OR] 1.56, P = 4.7 10
-18
). Testing of
this association in other well-phenotyped samples is
needed to 1) validate the association, 2) estimate the true
effect size, and 3) identify effects on intermediate traits
that may suggest how TCF7L2 variants act (e.g., through
changes in insulin secretion, insulin resistance, BMI,
waist-to-hip ratio).
TCF7L2 has been implicated as a member of the Wnt
signaling pathway and was previously well studied only in
colon cancer. However, based on its role in intestinal cells
(2), Grant et al. (1) proposed that variants of TCF7L2 may
alter levels of glucagon-like peptide 1, which influences
insulin secretion from the -cells of the pancreas. Thus,
one hypothesis is that TCF7L2 might influence the risk of
type 2 diabetes by influencing insulin secretion. Alterna-
tively, a gene increasing the risk of diabetes could act
through insulin action or through currently unknown
mechanisms.
To evaluate these questions, we selected tag SNPs to
capture common variation in a 64.6-kb region of strong
linkage disequilibrium surrounding the most significant
association signal and spanning intron 3, exon 4, and
intron 4 of TCF7L2. We genotyped 13 tag SNPs that
capture 32 of 44 variants with r
2
0.8 (mean r
2
0.985)
in the phase II HapMap CEU population (3); all 5 SNPs that
were most highly correlated with the DG10S478 allele X in
the original report (1) were directly genotyped.
The tag SNPs were genotyped in well-characterized
family-based and case-control samples from Scandinavia,
Poland, and the U.S.; phenotypic characteristics of all
samples are described in Table 1. We included five previ-
ously described patient samples that have formed the
basis of multiple previous publications from our research
group: 333 Swedish and Finnish trios; 2 Scandinavian
case-control samples with 918 and 1,010 subjects, respec-
From the
1
Program in Medical and Population Genetics, Broad Institute of
Harvard and Massachusetts Institute of Technology, Cambridge, Massachu-
setts; the
2
Center for Human Genetic Research, Massachusetts General
Hospital, Boston, Massachusetts; the
3
Department of Molecular Biology,
Massachusetts General Hospital, Boston, Massachusetts; the
4
Department of
Clinical Sciences, Diabetes and Endocrinology, University Hospital Malmo ¨,
Lund University, Malmo ¨ , Sweden; the
5
Department of Medicine, Harvard
Medical School, Boston, Massachusetts; the
6
Department of Medicine, Hel-
sinki University Central Hospital, Folkhalsan Genetic Institute, Folkhalsan
Research Center and Research Program for Molecular Medicine, University of
Helsinki, Helsinki, Finland; the
7
Skaraborg Institute, Sko ¨ vde, Sweden; the
8
Divisions of Genetics and Endocrinology, Children’s Hospital, Boston, Mas-
sachusetts; and
9
Genomics Collaborative, Cambridge, Massachusetts.
Address correspondence and reprint requests to David Altshuler, Depart-
ment of Molecular Biology/Endocrinology and Massachusetts General Hospi-
tal, Simches Research Building, 175 Cambridge St., CPZN-6818, Boston, MA
02114. E-mail: altshuler@molbio.mgh.harvard.edu.
Received for publication 22 March 2006 and accepted in revised form 27
June 2006.
L.C.G. has served on advisory boards for and received consulting fees from
sanofi-aventis, Bristol-Myers Squibb, GlaxoSmithKline, Kowa, and Roche.
Additional information for this article can be found in an online appendix at
http://diabetes.diabetesjournals.org.
AUC, area under the curve; IGT, impaired glucose tolerance; NGT, normal
glucose tolerance; OGTT, oral glucose tolerance test; SNP, single nucleotide
polymorphism.
DOI: 10.2337/db06-0381
© 2006 by the American Diabetes Association.
The costs of publication of this article were defrayed in part by the payment of page
charges. This article must therefore be hereby marked “advertisement” in accordance
with 18 U.S.C. Section 1734 solely to indicate this fact.
2890 DIABETES, VOL. 55, OCTOBER 2006
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