A genome-wide linkage and association analysis of imputed insertions and deletions with cardiometabolic phenotypes in Mexican Americans: The Insulin Resistance Atherosclerosis Family Study.
A genome-wide linkage and association analysis of imputed insertions and deletions with cardiometabolic phenotypes in Mexican Americans: The Insulin Resistance Atherosclerosis Family Study.
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DOI:
10.1002/gepi.22042
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发表时间:
2017-05
影响因子:
2.1
通讯作者:
Palmer ND
中科院分区:
文献类型:
--
作者:
Gao C;Hsu FC;Dimitrov LM;Okut H;Chen YI;Taylor KD;Rotter JI;Langefeld CD;Bowden DW;Palmer ND
Insertions and deletions (INDELs) represent a significant fraction of inter-individual variation in the human genome yet their contribution to phenotypes is poorly understood. To confirm the quality of imputed INDELs and investigate their roles in mediating cardiometabolic phenotypes, genome-wide association and linkage analyses were performed for 15 phenotypes with 1,273,952 imputed INDELs in 1024 Mexican-origin Americans. Imputation quality was validated using whole exome sequencing with an average kappa of 0.93 in common INDELs (MAF≥5%). Association analysis revealed one genome-wide significant association signal for the Cholesterylester Transfer Protein gene (CETP) with high density lipoprotein levels (rs36229491, P=3.06×10−12); linkage analysis identified two peaks with LOD>5 (rs60560566, LOD=5.36 with insulin sensitivity (SI) and rs5825825, LOD=5.11 with adiponectin levels). Suggestive overlapping signals between linkage and association were observed: rs59849892 in the WSC Domain Containing 2 gene (WSCD2) was associated and nominally linked with SI (P=1.17×10−7, LOD=1.99). This gene has been implicated in glucose metabolism in human islet cell expression studies. In addition, rs201606363 was linked and nominally associated with low density lipoprotein (P=4.73×10−4, LOD=3.67), apolipoprotein B (P=1.39×10−3, LOD=4.64), and total cholesterol (P=1.35×10−2, LOD=3.80) levels. rs201606363 is an intronic variant of the UBE2F-SCLY fusion gene which may regulate cholesterol through selenium metabolism. In conclusion, these results confirm the feasibility of imputing INDELs from array-based SNP genotypes. Analysis of these variants using association and linkage replicated previously identified SNP signals and identified multiple novel INDEL signals. These results support the inclusion of INDELs into genetic studies to more fully interrogate the spectrum of genetic variation.