Dataset Information

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

ABSTRACT: 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).

SUBMITTER: Reshetnikov E

PROVIDER: S-EPMC6931107 | biostudies-literature | 2020 Feb

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

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

Reshetnikov Evgeny E Abramova Maria M Ponomarenko Irina I Polonikov Alexey A Verzilina Irina I Sorokina Inna I Aristova Inna I Yermachenko Anna A Dvornyk Volodymyr V Churnosov Mikhail M

Data in brief 20191209

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 calculate ...[more]

PMID: 31890803

Similar Datasets

Project description:BACKGROUND:There is a lack of knowledge regarding the frequency of disease associated polymorphisms in populations and population attributable risk for many populations remains unknown. Factors that could affect the association of the allele with disease, either positively or negatively, such as race, ethnicity, and gender, may not be possible to determine without population based allele frequencies.Here we used a panel of 51 polymorphisms previously associated with at least one disease and determined the allele frequencies within the entire Personalized Medicine Research Project population based cohort. We compared these allele frequencies to those in dbSNP and other data sources stratified by race. Differences in allele frequencies between self reported race, region of origin, and sex were determined. RESULTS:There were 19544 individuals who self reported a single racial category, 19027 or (97.4%) self reported white Caucasian, and 11205 (57.3%) individuals were female. Of the 11,208 (57%) individuals with an identifiable region of origin 8337 or (74.4%) were German.41 polymorphisms were significantly different between self reported race at the 0.05 level. Stratification of our Caucasian population by self reported region of origin revealed 19 polymorphisms that were significantly different (p = 0.05) between individuals of different origins. Further stratification of the population by gender revealed few significant differences in allele frequencies between the genders. CONCLUSIONS:This represents one of the largest population based allele frequency studies to date. Stratification by self reported race and region of origin revealed wide differences in allele frequencies not only by race but also by region of origin within a single racial group. We report allele frequencies for our Asian/Hmong and American Indian populations; these two minority groups are not typically selected for population allele frequency detection. Population wide allele frequencies are important for the design and implementation of studies and for determining the relevance of a disease associated polymorphism for a given population.

Dataset Information

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

Publications

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

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets