Publication Date: 2014.
BACKGROUND: A number of observations support the involvement of circadian clock genes in the regulation of metabolic processes. One of these circadian genes, Per3, exhibits a variable number tandem repeat length polymorphism, consisting of two alleles, namely four and five repeat alleles, in its exon 18. The objective of this study was to examine the existence of Per3 variants in patients with type 2 diabetes mellitus (T2DM) as compared to a non T2DM control group. METHODS: Intravenous blood samples were collected to obtain white blood cells from 302 T2DM patients and 330 non-diabetic, age- and sex-matched, individuals. Per3 genotyping was performed on DNA by polymerase chain reaction. RESULTS: Frequency of five repeat allele was higher, and that of four repeat allele lower, in T2DM patients as compared to non-diabetic controls (χ2=6.977, p=0.0082) CONCLUSIONS: The results indicate an association of Per3 five repeat allele with T2DM occurrence and suggest that individuals with five repeat allele may be at a greater risk for T2DM as compared to those carrying the four repeat allele.
Author affiliation: Karthikeyan, Ramanujam. Madurai Kamaraj University. School of Biological Sciences. Department of Animal Behaviour and Physiology; India
Author affiliation: Marimuthu, Ganapathy. Madurai Kamaraj University. School of Biological Sciences. Department of Animal Behaviour and Physiology; India
Author affiliation: Sooriyakumar, Murugesan. Madurai Medical College. Department of Medicine; India
Author affiliation: BaHammam, Ahmed S.. King Saud University. College of Medicine; Arabia Saudita
Author affiliation: Spence, David Warren.
Author affiliation: Pandi Perumal, Seithikurippu R.. Somnogen Canada; Canadá
Author affiliation: Brown, Gregory M.. University of Toronto; Canadá
Author affiliation: Cardinali, Daniel Pedro. Pontificia Universidad Católica Argentina "Santa María de los Buenos Aires". Facultad de Ciencias Médicas; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Repository: CONICET Digital (CONICET). Consejo Nacional de Investigaciones Científicas y Técnicas