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Comparison of Erythrocyte Traits Among European, Japanese and Korean

Kwon JS, Kim S

  • KMID: 2284671
  • Genomics Inform.
  • 2010 Sep;8(3):159-163.
Erythrocyte traits are heritable and indirect indicators of blood diseases caused by erythrocyte, but their genetic factors are largely unknown. So we performed genome-wide association study in 8,842 Korean individuals...
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Genome-Wide Association Studies of the Korea Association REsource (KARE) Consortium

Hong KW, Kim HL, Oh B

  • KMID: 2284662
  • Genomics Inform.
  • 2010 Sep;8(3):101-102.
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...
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Association between ADIPOQ Gene Polymorphism rs182052 and Obesity in Korean Women

Doo M, Kim Y

  • KMID: 2284665
  • Genomics Inform.
  • 2010 Sep;8(3):116-121.
The association between adiponectin concentration and obesity have been reported and genetic variations of the ADIPOQ gene are known to influence the plasmatic concentration of adiponectin. Therefore, we investigated the...
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Comparison of the Affymetrix SNP Array 5.0 and Oligoarray Platforms for Defining CNV

Kim JH, Jung SH, Hu HJ, Yim SH, Chung YJ

  • KMID: 2284668
  • Genomics Inform.
  • 2010 Sep;8(3):138-141.
Together with single nucleotide polymorphism (SNP), copy number variations (CNV) are recognized to be the major component of human genetic diversity and used as a genetic marker in many disease...
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Joint Identification of Multiple Genetic Variants of Obesity in a Korean Genome-wide Association Study

Oh S, Cho S, Park T

  • KMID: 2284669
  • Genomics Inform.
  • 2010 Sep;8(3):142-149.
In recent years, genome-wide association (GWA) studies have successfully led to many discoveries of genetic variants affecting common complex traits, including height, blood pressure, and diabetes. Although GWA studies have...
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Identification of Causal and/or Rare Genetic Variants for Complex Traits by Targeted Resequencing in Population-based Cohorts

Kim YK, Hong CB, Cho YS

  • KMID: 2284667
  • Genomics Inform.
  • 2010 Sep;8(3):131-137.
Genome-wide association studies (GWASs) have greatly contributed to the identification of common variants responsible for numerous complex traits. There are, however, unavoidable limitations in detecting causal and/or rare variants for...
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KARE Genomewide Association Study of Blood Pressure Using Imputed SNPs

Hong KW, Lim JE, Kim YJ, Cho NH, Shin C, Oh B

  • KMID: 2284663
  • Genomics Inform.
  • 2010 Sep;8(3):103-107.
The imputation of untyped SNPs enables researchers to validate association findings across SNP arrays and also enables them to test a large number of SNPs to reveal the fine structure...
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A Genome-wide Association Study of Copy Number Variation in Hematological Parameters in the Korean Population

Kim KK, Cho YS, Cho NH, Shin C, Kim JW

  • KMID: 2284666
  • Genomics Inform.
  • 2010 Sep;8(3):122-130.
Abnormal hematological values are associated with various disorders including cancer and cardiovascular, metabolic, infectious, and immune diseases. We report the copy number variations (CNVs) in clinically relevant hematological parameters, including...
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Application of Structural Equation Models to Genome-wide Association Analysis

Kim J, Namkung J, Lee S, Park T

  • KMID: 2284670
  • Genomics Inform.
  • 2010 Sep;8(3):150-158.
Genome-wise association studies (GWASs) have become popular approaches to identify genetic variants associated with human biological traits. In this study, we applied Structural Equation Models (SEMs) in order to model...
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Genome-Wide Association Analyses on Blood Pressure Using Three Different Phenotype Definitions

Park JW, Uhmm S, Shin C, Cho NH, Cho YS, Lee JY

  • KMID: 2284664
  • Genomics Inform.
  • 2010 Sep;8(3):108-115.
Hypertension is the most prevalent disease worldwide and is itself a risk factor for cerebral, cardiac, and renal diseases. The inconsistency of candidate genes suggested by previous genomewide association studies...
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