Multilocus association mapping using generalized ridge logistic regression

BMC Bioinformatics

Table 3 Results for heroin addiction data using logistic regression

*Rank*	*Chr*	*SNP rs#*	*Bp Position*	*Odds Ratio*	*Original P-value*	*Bonferroni Correction*	*Empirical P-value*
1	1	rs 1408830	189929064	2.36	2.23E-04	1.0000	0.573
2	20	rs 720010	7174248	2.04	4.20E-04	1.0000	0.841
3	13	rs 950064	58410147	2.23	4.44E-04	1.0000	0.866
4	13	rs 2016056	58410016	2.26	4.54E-04	1.0000	0.876
5	4	rs 951299	99955054	0.48	6.68E-04	1.0000	0.955
6	11	rs 1381784	42426136	2.33	8.68E-04	1.0000	0.984
7	5	rs 2421057	158958294	2.19	8.70E-04	1.0000	0.984
8	17	rs 1714984	12558426	2.26	9.37E-04	1.0000	0.986
9	9	rs 3866796	15340199	0.50	9.48E-04	1.0000	0.986
10	4	rs 1986513	126424833	0.17	1.34E-03	1.0000	0.998

Analysis results for the published dataset on heroin addiction using logistic regression. Odds ratios, original p-values, p-values after Bonferroni correction, and empirical p-values (derived from 1000 permutations) of the top 10 SNPs are listed.

ISSN: 1471-2105