High Density GWAS for LDL Cholesterol in African Americans Using Electronic Medical Records Reveals a Strong Protective Variant in APOE

被引:36
作者
Rasmussen-Torvik, Laura J. [1 ]
Pacheco, Jennifer A. [2 ]
Wilke, Russell A. [3 ]
Thompson, William K. [2 ]
Ritchie, Marylyn D. [4 ]
Kho, Abel N. [5 ]
Muthalagu, Arun [2 ]
Hayes, M. Geoff [6 ]
Armstrong, Loren L. [6 ]
Scheftner, Douglas A. [6 ]
Wilkins, John T. [1 ]
Zuvich, Rebecca L. [7 ]
Crosslin, David [8 ]
Roden, Dan M. [3 ,9 ]
Denny, Joshua C. [10 ]
Jarvik, Gail P. [11 ,12 ]
Carlson, Christopher S. [13 ]
Kullo, Iftikhar J. [14 ]
Bielinski, Suzette J. [15 ]
McCarty, Catherine A. [16 ]
Li, Rongling [17 ]
Manolio, Teri A. [17 ]
Crawford, Dana C. [7 ]
Chisholm, Rex L. [2 ]
机构
[1] Northwestern Univ, Feinberg Sch Med, Dept Prevent Med, Chicago, IL 60611 USA
[2] Northwestern Univ, Feinberg Sch Med, Ctr Genet Med, Chicago, IL 60611 USA
[3] Vanderbilt Univ, Med Ctr, Dept Med, Nashville, TN USA
[4] Penn State Univ, Dept Biochem & Mol Biol, University Pk, PA 16802 USA
[5] Northwestern Univ, Dept Med, Feinberg Sch Med, Chicago, IL 60611 USA
[6] Northwestern Univ, Div Endocrinol, Feinberg Sch Med, Chicago, IL 60611 USA
[7] Vanderbilt Univ, Dept Mol Physiol & Biophys, Ctr Human Genet Res, Nashville, TN 37232 USA
[8] Univ Washington, Dept Biostat, Seattle, WA 98195 USA
[9] Vanderbilt Univ, Dept Pharmacol, Nashville, TN USA
[10] Vanderbilt Univ, Dept Biomed Informat, Nashville, TN USA
[11] Univ Washington, Dept Med Med Genet, Seattle, WA 98195 USA
[12] Univ Washington, Dept Genome Sci, Seattle, WA 98195 USA
[13] Fred Hutchinson Canc Res Ctr, Seattle, WA 98104 USA
[14] Mayo Clin, Div Cardiovasc Dis, Rochester, MN USA
[15] Mayo Clin, Div Epidemiol, Rochester, MN USA
[16] Essentia Inst Rural Hlth, Duluth, MN USA
[17] NHGRI, Off Populat Genom, Bethesda, MD 20892 USA
来源
CTS-CLINICAL AND TRANSLATIONAL SCIENCE | 2012年 / 5卷 / 05期
关键词
GWAS; LDL; electronic medical records; GENOME-WIDE ASSOCIATION; HEART-DISEASE RISK; LIPID-LEVELS; GENETIC-VARIANTS; EMERGE NETWORK; LOCI; TOOL; IDENTIFICATION; GENOTYPES;
D O I
10.1111/j.1752-8062.2012.00446.x
中图分类号
R-3 [医学研究方法]; R3 [基础医学];
学科分类号
1001 ;
摘要
Only one low-density lipoprotein cholesterol (LDL-C) genome-wide association study (GWAS) has been previously reported in -African Americans. We performed a GWAS of LDL-C in African Americans using data extracted from electronic medical records (EMR) in the eMERGE network. African Americans were genotyped on the Illumina 1M chip. All LDL-C measurements, prescriptions, and diagnoses of concomitant disease were extracted from EMR. We created two analytic datasets; one dataset having median LDL-C calculated after the exclusion of some lab values based on comorbidities and medication (n= 618) and another dataset having median LDL-C calculated without any exclusions (n= 1,249). SNP rs7412 in APOE was strongly associated with LDL-C in both datasets (p < 5 x 10-8). In the dataset with exclusions, a decrease of 20.0 mg/dL per minor allele was observed. The effect size was attenuated (12.3 mg/dL) in the dataset without any lab values excluded. Although other signals in APOE have been detected in previous GWAS, this large and important SNP association has not been well detected in large GWAS because rs7412 was not included on many genotyping arrays. Use of median LDL-C extracted from EMR after exclusions for medications and comorbidities increased the percentage of trait variance explained by genetic variation. Clin Trans Sci 2012; Volume 5: 394399
引用
收藏
页码:394 / 399
页数:6
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