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Introduction of Bioinformatic Methods for the Gene Function Analysis

Kim SS

  • KMID: 760527
  • Korean J Hepatol.
  • 2004 Mar;10(1):11-21.
No abstract available.
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Strategy Considerations in Genome Cohort Construction in Korea

Sung J, Cho SI

Focusing on complex diseases of public health significance, strategic issues regarding the on-going Korean Genome Cohort were reviewed: target size and diseases, measurements, study design issues, and followup strategy of...
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Discovering Gene-Environment Interactions in the Post-Genomic Era

Naidoo N, Chia KS

In the more than 100 genome wide association studies (GWAS) conducted in the past 5 years, more than 250 genetic loci contributing to more than 40 common diseases and traits...
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Three New Single Nucleotide Polymorphisms Identified by a Genome-Wide Association Study in Korean Patients with Vitiligo

Cheong KA, Kim NH, Noh M, Lee AY

Genetic susceptibility is involved in the pathogenesis of vitiligo. Association studies with a whole genome-based approach instead of a single or a few candidate genes may be useful for discovering...
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Reliability and Data Integration of Duplicated Test Results Using Two Bioelectrical Impedence Analysis Machines in the Korean Genome and Epidemiology Study

Park B, Yang JJ, Yang JH, Kim J, Cho LY, Kang D, Shin C, Hong YS, Choi BY, Kim SS, Park MS, Park SK

OBJECTIVES: The Korean Genome and Epidemiology Study (KoGES), a multicenter-based multi-cohort study, has collected information on body composition using two different bioelectrical impedence analysis (BIA) machines. The aim of the...
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Genome-wide linkage analysis for ocular and nasal anthropometric traits in a Mongolian population

Im SW, Kim HJ, Lee MK, Yi JH, Jargal G, Sung J, Cho SI, Kim JI

Anthropometric traits for eyes and nose are complex quantitative traits influenced by genetic and environmental factors. To date, there have been few reports on the contribution of genetic influence to...
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A Review of Power and Sample Size Estimation in Genomewide Association Studies

Park AK, Kim H

Power and sample size estimation is one of the crucially important steps in planning a genetic association study to achieve the ultimate goal, identifying candidate genes for disease susceptibility, by...
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