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1.
Genomics & Informatics ; : 114-120, 2014.
Article in English | WPRIM | ID: wpr-91762

ABSTRACT

Bone mineral density (BMD) is one of the quantitative traits that are genetically inherited and affected by various factors. Over the past years, genome-wide association studies (GWASs) have searched for many genetic loci that influence BMD. A recent meta-analysis of 17 GWASs for BMD of the femoral neck and lumbar spine is the largest GWAS for BMD to date and offers 64 single-nucleotide polymorphisms (SNPs) in 56 associated loci. We investigated these BMD loci in a Korean population called Korea Association REsource (KARE) to identify their validity in an independent study. The KARE population contains genotypes from 8,842 individuals, and their BMD levels were measured at the distal radius (BMD-RT) and midshaft tibia (BMD-TT). Thirteen genomic loci among 56 loci were significantly associated with BMD variations, and 3 loci were involved in known biological pathways related to BMD. In order to find putative functional variants, nearby SNPs in relation to linkage equilibrium were annotated, and their possible functional effects were predicted. These findings reveal that tens of variants, not a single factor, may contribute to the genetic architecture of BMD; have an important role regardless of ethnic group; and may highlight the importance of a replication study in GWASs to validate genuine loci for BMD variation.


Subject(s)
Humans , Bone Density , Ethnicity , Femur Neck , Follow-Up Studies , Genetic Loci , Genome-Wide Association Study , Genotype , Korea , Polymorphism, Single Nucleotide , Radius , Spine , Tibia , Transcutaneous Electric Nerve Stimulation
2.
Genomics & Informatics ; : 216-224, 2014.
Article in English | WPRIM | ID: wpr-61840

ABSTRACT

Gastritis is a common but a serious disease with a potential risk of developing carcinoma. Helicobacter pylori infection is reported as the most common cause of gastritis, but other genetic and genomic factors exist, especially single-nucleotide polymorphisms (SNPs). Association studies between SNPs and gastritis disease are important, but results on epistatic interactions from multiple SNPs are rarely found in previous genome-wide association (GWA) studies. In this study, we performed computational GWA case-control studies for gastritis in Korea Associated Resource (KARE) data. By transforming the resulting SNP epistasis network into a gene-gene epistasis network, we also identified potential gene-gene interaction factors that affect the susceptibility to gastritis.


Subject(s)
Case-Control Studies , Cohort Studies , Gastritis , Genome-Wide Association Study , Helicobacter pylori , Korea , Polymorphism, Single Nucleotide
3.
Genomics & Informatics ; : 101-102, 2010.
Article in English | WPRIM | ID: wpr-12323

ABSTRACT

During the last decade, large community cohorts have been established by the Korea National Institutes of Health (KNIH), and enormous epidemiological and clinical data have been accumulated. Using these information and samples in the cohorts, KNIH set out to do a large-scale genome-wide association study (GWAS) in 2007, and the Korea Association REsource (KARE) consortium was launched to analyze the data to identify the underlying genetic risk factors of diseases and diverse health indexes, such as blood pressure, obesity, bone density, and blood biochemical traits. The consortium consisted of 6 research divisions, formed by 25 principal investigators in 19 organizations, including 18 universities, 2 institutes, and 1 company. Each division focused on one of the following subjects: the identification of genetic factors, the statistical analysis of gene-gene interactions, the genetic epidemiology of gene-environment interactions, copy number variation, the bioinformatics related to a GWAS, and a GWAS of nutrigenomics. In this special issue, the study results of the KARE consortium are provided as 9 articles. We hope that this special issue might encourage the genomics community to share data and scientists, including clinicians, to analyze the valuable Korean data of KARE.


Subject(s)
Humans , Academies and Institutes , Blood Pressure , Bone Density , Coat Protein Complex I , Cohort Studies , Computational Biology , Gene-Environment Interaction , Genome-Wide Association Study , Genomics , Korea , Molecular Epidemiology , Nutrigenomics , Obesity , Research Personnel , Risk Factors
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