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SUGAR MGH
In the United States, approximately 1.5 million people
are diagnosed with type 2 diabetes each year, and another
6.2 million are unaware they have the disease. There
are 54 million Americans at risk of developing type
2 diabetes in their lifetime.
A person’s risk for developing type 2 diabetes
is increased by certain genetic factors. Some of the
genes associated with the disease have been shown to
affect hormonal mechanisms required for the regulation
of sugar levels. In our study, SUGAR MGH, we will investigate
whether the efficacy of specific anti-diabetic drugs
is dependent on which variation of the gene the research
subject carries. We will be measuring the effects of
the medications glipizide and metformin while examining
genes associated with type 2 diabetes.
The study will enroll subjects at risk of diabetes
or with diet-treated diabetes, and will monitor their
response to the two anti-diabetic medications during
two visits over one week. Each patient’s DNA will
be genotyped for several variants thought to play a
role in diabetes, and the reactions of people who carry
different genotypes will be compared. With studies such
as this we hope to improve our understanding of mechanisms
of glucose regulation and how they differ from person
to person, propose better diagnostic strategies, describe
how newly identified genetic variants increase diabetes
risk, discover new forms of treatment and possibly allow
therapies to be tailored to the individual.
Some studies showing the association between type 2
diabetes and the genes we plan to study:
• Gloyn et al., Diabetes 2003;52:568-572
“Large-scale association studies of variants in
genes encoding the pancreatic beta-cell KATP channel
subunits Kir6.2 (KCNJ11) and SUR1 (ABCC8) confirm that
the KCNJ11 E23K variant is associated with type 2 diabetes”
http://diabetes.diabetesjournals.org/cgi/content/full/52/2/568
• Florez et al., Diabetes 2004;53:1360-1368.
“Haplotype structure and genotype-phenotype correlations
of the sulfonylurea receptor and the islet ATP-sensitive
potassium channel gene region”
http://diabetes.diabetesjournals.org/cgi/content/full/53/5/1360
• Grant et al., Nat Genet 2006;38:320-323.
“Variant of transcription factor 7-like 2 (TCF7L2)
gene confers risk of type 2 diabetes”
http://www.nature.com/ng/journal/v38/n3/full/ng1732.html
• Florez et al., NEJM 2006;355:241-250.
“TCF7L2 polymorphisms and progression to diabetes
in the Diabetes Prevention Program”
http://content.nejm.org/cgi/content/full/355/3/241
Some studies showing the effects of variation in these
genes on glucose regulation:
• Nielsen et al., Diabetes 2003;52:573-577
“The E23K variant of Kir6.2 associates with impaired
post-OGTT serum insulin response and increased risk
of type 2 diabetes”
http://diabetes.diabetesjournals.org/cgi/content/full/52/2/573
• Saxena et al., Diabetes 2006;55:2890-2895
“Common single nucleatide polymorphisms in TCF7L2
are reproducibly associated with type 2 diabetes and
reduce the insulin response to glucose in nondiabetic
individuals”
http://diabetes.diabetesjournals.org/cgi/content/full/55/10/2890
Some studies showing that the effect of anti-diabetic
treatment may be dependent on the variation of the gene
the patient carries:
• Florez et al., Diabetes 2007;56:531-536
“Type 2 diabetes-associated missense polymorphisms
KCNJ11 E23K and ABCC8 A1369S influence progression to
diabetes and response to interventions in the Diabetes
Prevention Program”
http://diabetes.diabetesjournals.org/cgi/content/full/56/2/531
• Feng et al., Diabetes Care 2008;31:1939-1944
“Ser1369Ala variant in sulfonylurea receptor gene
ABCC8 is associated with antidiabetic efficacy of gliclazide
in Chinese type 2 diabetic patients”
• Becker et al., Diabetes 2009;58:745-749
“Genetic variation in the multidrug and toxin
extrusion 1 transporter protein influences the glucose-lowering
effect of metformin in patients with diabetes: A preliminary
study”
• Zhou et al., Clinical Pharmacology and Therapeutics
2010;87:52-56
“Loss-of-function CYPC29 variants improve therapeutic
response to sulfonylureas in type 2 diabetes: A Go-DARTS
study”
• The GoDARTS and UKPDS Diabetes Pharmacogenetics
Study Group et al., Nature Genetics 2010 online
“Common variants near ATM are associated with
glycemic response to metformin in type 2 diabetes”
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