PURPOSE: To illustrate an approach of deriving haplotypes for genetic association studies, using the lipoprotein lipase (LPL) gene and coronary artery disease. METHODS: Six polymorphisms sufficient to distinguish the most common haplotypes in the 3' end of LPL were identified by genotyping 10 polymorphisms in a small pilot population. These were used to haplotype LPL in large family samples of Mexican-Americans and non-Hispanic Caucasians. A case-control association study was performed comparing Mexican-Americans with and without coronary artery disease. RESULTS: The two ethnic groups exhibited significant genetic differences. Among Mexican-Americans, homozygosity for LPL haplotype 1 was protective against coronary artery disease (OR = 0.50, 95% CI 0.27-0.91). CONCLUSION: This study outlines the haplotype structure of the LPL gene, illustrates the utility of haplotype-based analysis in association studies, and demonstrates the importance of defining haplotype frequencies for different ethnic groups.
PURPOSE: To illustrate an approach of deriving haplotypes for genetic association studies, using the lipoprotein lipase (LPL) gene and coronary artery disease. METHODS: Six polymorphisms sufficient to distinguish the most common haplotypes in the 3' end of LPL were identified by genotyping 10 polymorphisms in a small pilot population. These were used to haplotype LPL in large family samples of Mexican-Americans and non-Hispanic Caucasians. A case-control association study was performed comparing Mexican-Americans with and without coronary artery disease. RESULTS: The two ethnic groups exhibited significant genetic differences. Among Mexican-Americans, homozygosity for LPL haplotype 1 was protective against coronary artery disease (OR = 0.50, 95% CI 0.27-0.91). CONCLUSION: This study outlines the haplotype structure of the LPL gene, illustrates the utility of haplotype-based analysis in association studies, and demonstrates the importance of defining haplotype frequencies for different ethnic groups.
Authors: Mark O Goodarzi; Jinrui Cui; Yii-Der I Chen; Willa A Hsueh; Xiuqing Guo; Jerome I Rotter Journal: Am J Physiol Endocrinol Metab Date: 2011-05-31 Impact factor: 4.310
Authors: Youngsup Song; Judith Altarejos; Mark O Goodarzi; Hiroshi Inoue; Xiuqing Guo; Rebecca Berdeaux; Jeong-Ho Kim; Jason Goode; Motoyuki Igata; Jose C Paz; Meghan F Hogan; Pankaj K Singh; Naomi Goebel; Lili Vera; Nina Miller; Jinrui Cui; Michelle R Jones; Yii-Der I Chen; Kent D Taylor; Willa A Hsueh; Jerome I Rotter; Marc Montminy Journal: Nature Date: 2010-12-16 Impact factor: 49.962
Authors: Soonil Kwon; Mark O Goodarzi; Kent D Taylor; Jinrui Cui; Y-D Ida Chen; Jerome I Rotter; Willa Hsueh; Xiuqing Guo Journal: J Probab Stat Date: 2012-03-31