CREB1 Is a Strong Genetic Predictor of the Variation in Exercise Heart Rate Response to Regular Exercise
Circulation Cardiovascular Genetics 3(3): 294-299
Article 2010 English
Authors
TR
Tuomo Rankinen
GA
George Argyropoulos
TR
Treva Rice
Abstract
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Background— A genome-wide linkage scan identified a quantitative trait locus for exercise training–induced changes in submaximal exercise (50 W) heart rate (ΔHR50) on chromosome 2q33.3-q34 in the HERITAGE Family Study (n=472). Methods and Results— To fine-map the region, 1450 tag SNPs were genotyped between 205 and 215 Mb on chromosome 2. The strongest evidence of association with ΔHR50 was observed with 2 single-nucleotide polymorphisms (SNPs) located in the 5′ region of the cAMP-responsive element-binding protein 1 ( CREB1 ) gene (rs2253206: P =1.6×10 −5 and rs2360969: P =4.3×10 −5 ). The associations remained significant ( P =0.01 and P =0.023, respectively) after accounting for multiple testing. Regression modeling of the 39 most significant SNPs in the single-SNP analysis identified 9 SNPs that collectively explained 20% of the ΔHR50 variance. CREB1 SNP rs2253206 had the strongest effect (5.45% of variance), followed by SNPs in the FASTKD2 (3.1%), MAP2 (2.6%), SPAG16 (2.1%), ERBB4 (3 SNPs≈1.4% each), IKZF2 (1.4%), and PARD3B (1.0%) loci. In conditional linkage analysis, 6 SNPs from the final regression model ( CREB1, FASTKD2, MAP2, ERBB4, IKZF2 , and PARD3B ) accounted for the original linkage signal: The log of the odds score dropped from 2.10 to 0.41 after adjusting for all 6 SNPs. Functional studies revealed that the common allele of rs2253206 exhibits significantly ( P <0.05) lower promoter activity than the minor allele. Conclusions— Our data suggest that functional DNA sequence variation in the CREB1 locus is strongly associated with ΔHR50 and explains a considerable proportion of the quantitative trait locus variance. However, at least 5 additional SNPs seem to be required to fully account for the original linkage signal.
Mark A. Sarzynski, Peter K. Davidsen, Yan V. Sun, Matthijs K. C. Hesselink, Patrick Schrauwen, Treva Rice, D. C. Rao, Francesco Falciani, Claude Bouchard
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