A Genome-Wide Association Study for Serum Bilirubin Levels and Gene-Environment Interaction in a Chinese Population
Article first published online: 31 JAN 2013
© 2013 Wiley Periodicals, Inc.
Volume 37, Issue 3, pages 293–300, April 2013
How to Cite
Dai, X., Wu, C., He, Y., Gui, L., Zhou, L., Guo, H., Yuan, J., Yang, B., Li, J., Deng, Q., Huang, S., Guan, L., Hu, D., Zhu, J., Min, X., Lang, M., Li, D., Yang, H., Hu, F. B., Lin, D., Wu, T. and He, M. (2013), A Genome-Wide Association Study for Serum Bilirubin Levels and Gene-Environment Interaction in a Chinese Population. Genet. Epidemiol., 37: 293–300. doi: 10.1002/gepi.21711
- Issue published online: 25 MAR 2013
- Article first published online: 31 JAN 2013
- Manuscript Revised: 27 DEC 2012
- Manuscript Accepted: 27 DEC 2012
- Manuscript Received: 5 SEP 2012
- Program of Introducing Talents of Discipline to Universities
- Program for New Century Excellent Talents in University and the General Program of National Natural Science Foundation of China. Grant Number: 81172751
Disclaimer: Supplementary materials have been peer-reviewed but not copyedited.
Table S1. Characteristics of the subjects who participated in this study
Table S2. Genome-wide association of serum bilirubin levels (total, direct, indirect)
Table S3. Impact of each SNP on bilirubin levels (total, direct, and indirect)a
Table S4. Interactions between the four independent SNPs and age, sex, BMI, smoking, and drinking status
Table S5. Interaction between SLCO1B3 and smoking in determining bilirubin levels in men
Figure S1. Q-Q plots for QTL analyses. The horizontal axis shows -log10 transformed expected P values, while the vertical axis indicates -log10 transformed observed P values. The genomic inflation factor λ for each analysis is shown below each graph.
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