Dataset of allele and genotype frequencies of five polymorphisms candidate genes analyzed for association with body mass index in Russian women

Data on the allele and genotype frequencies of the five single nucleotide polymorphisms (SNPs) 5 genes - rs1514175 TNNI3K, rs713586 RBJ, rs887912 FANCL, rs2241423 MAP2K5, rs12444979 GPRC5B in Russian women are presented. Several genome-wide association studies identified these SNPs could be significant genetic markers associated with body mass index (BMI). Standard methods were used for collecting of the anthropometric characteristics (height and weight). We calculated the frequencies of alleles and genotypes of five SNPs in 5 groups: all samples, underweight (BMI<18.50), normal weight (18.50–24.99), overweight (25.00–29.99), obese (>30.00).


Study subjects
From 2009 to 2013, women referred to the Perinatal Centre of the Belgorod Regional Clinical Hospital of St. Joasaph were enrolled. The participants were unrelated Russian women born in Central Russia [11]. Some exclusion criteria were adopted: benign tumors and hyperplastic disorders of the reproductive organs (endometriosis, leiomyoma, and endometrial hyperplasia), malignant tumors of a small pelvis and breast, severe autoimmune diseases, chronic severe diseases of the vital organs (heart, respiratory or renal failure). A total of 716 women met the criteria. This study was approved by the Regional Ethics Committee of Belgorod State University and informed consents were obtained from all participants.
The anthropometric characteristics were obtained by standard methods [12]: a portable stadiometer was used for measurement of height; weight was measured in an upright position, using a calibrated balance beam scale. 5 groups were formed according to BMI: total sample set, sample set

Value of the Data
The frequencies of alleles and genotypes of rs1514175 TNNI3K, rs713586 RBJ, rs887912 FANCL, rs2241423 MAP2K5, and rs12444979 GPRC5B among Russian women with different body mass index (underweight, normal weight, overweight, obesity) vary, but do not differ significantly. The genetic polymorphisms in TNNI3K, RBJ, FANCL, MAP2K5, GPRC5B genes may play a role in body mass index. The data on the allele and genotype frequencies are an important resource for understanding genetic structure of different populations.
The data can be used to study a genetic basis of body mass index and BMI-associated multifactorial diseases (obesity, arterial hypertension, metabolic syndrome, stroke, coronary artery disease, uterine leiomyoma, and the others) in various populations.
Specifications Table   Subject area Biology More specific subject area Genetics Type of data Total genomic DNA was isolated from buffy coat using the standard phenol-chloroform method.

Experimental features
DNA samples were genotyped using the Sequenom MassARRAY® iPLEX platform, which is based on MALDI-TOF (matrix-assisted laser desorption/ionization time-of-flight) mass spectrometry Data source location Belgorod, Russia Data accessibility The data is available with this article  Table 2 The literature data about associations of the studied polymorphisms with body mass index and obesity.

Blood sample collection and DNA handling
Whole blood specimens were collected from each participant using a plastic tubes (Vacutainer®) containing 0.5 M EDTA solution (рН ¼ 8.0) and genomic DNA was isolated from peripheral blood leukocytes using the standard phenol-chloroform method. The isolated DNA was stored at À80 С.

SNP genotyping
DNA samples were genotyped using the Sequenom MassARRAY® iPLEX platform. The procedure for DNA sample preparation and data quality control are described elsewhere [12].