A Two-Stage Penalized Logistic Regression Approach to Case-Control Genome-Wide Association Studies

Table 1

Features associated with prostate cancer from the analysis of CGEMS data (“rsXXX” denotes SNP reference).

Chromosome	Feature	Maximum 𝛾	Significance Level
6, 7	rs1885693-rs12537363	0.80	1.824985e-11
8, 13	rs7837688-rs2256142	0.80	1.824985e-11
1, 21	rs1721525-rs2243988	0.80	1.824985e-11
10, 16	rs11595532-rs8055313	0.77	9.64352e-11
12, 12	rs10842794-rs10848967	0.77	9.64352e-11
9, 12	rs3802357-rs10880221	0.77	9.64352e-11
1, 2	rs3900628-rs642501	0.77	9.64352e-11
1, 16	rs10518441-rs2663158	0.77	9.64352e-11
3, 13	rs1880589-rs1999494	0.77	9.64352e-11
5, 18	rs6883810-rs11874224	0.77	9.64352e-11
13, 19	rs4274307-rs3745180	0.73	2.740672e-10
5, 19	rs672413-rs3915790	0.73	2.740672e-10