HUMAN GENETIC STUDY
Genome-wide association study of a quantitative disordered gambling trait
Article first published online: 11 JUL 2012
© 2012 The Authors. Addiction Biology © 2012 Society for the Study of Addiction
Volume 18, Issue 3, pages 511–522, May 2013
How to Cite
Lind, P. A., Zhu, G., Montgomery, G. W., Madden, P. A. F., Heath, A. C., Martin, N. G. and Slutske, W. S. (2013), Genome-wide association study of a quantitative disordered gambling trait. Addiction Biology, 18: 511–522. doi: 10.1111/j.1369-1600.2012.00463.x
- Issue published online: 9 APR 2013
- Article first published online: 11 JUL 2012
Table S1. Secondary case-control analyses of the top SNPs for the quantitative disordered gambling trait (DG).
Table S2. The 50 genes most strongly associated with the quantitative disordered gambling factor score.
Table S3. Gene overlap between the enriched Ingenuity canonical pathways for disordered gambling
Table S4. Enrichment of KEGG pathways for disordered gambling.
Table S5. Derivation of the quantitative disordered gambling trait based on extraction of a single factor from a confirmatory factor analysis of data obtained from 4764 Australian adults.
Figure S1. Distribution of the disordered gambling factor score (DG) in 1312 Australian twins.
Figure S2. Regional association plot for chromosome 16 (rs8064100).
Figure S3. Regional association plot for chromosome 9 (rs12237653).
Figure S4. Regional association plot for chromosome 12 (rs11060736).
Figure S5. Regional association plot for chromosome 9 (rs1081227).
Figure S6. Regional association plot for chromosome 6 (rs9383153).
Figure S7. Regional association plot for chromosome 12 (rs12305135).
Figure S8. Connectivity diagram illustrating the interactions between proteins encoded by 24 candidate genes for disordered gambling and dopamine agonist (cabergoline, pergolide, pramipexole, levodopa [L-dopa]) induced disordered gambling.
Figure S9. Quantile–Quantile (Q–Q) plot for 2159 SNPs located within 24 candidate genes for disordered gambling (genomic inflation λ = 1.503).
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