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Correlations in the bone dataset

Use the form to search for:

an EntrezGene ID (e.g. "1234")
an Accession Number (e.g. "BE644809" or "NM_005715")
a Gene Symbol (e.g. "HMGCR" or "ZNF532", not case-sensitive)
a variable label (e.g. "1562529_s_at" or "hsa-miR-29c*")
a variable number (e.g. "#1234" for the 1234^th variable in the dataset)

(View the full list of available key terms [here]).

Starting timer.
Connected to database.
Searching for user input in variable labels, Entrez IDs, Accession Numbers...
Evaluating targets, filters and restrictions...

Finding correlations with 1 variable:
id	Label1	AccNum	GeneSym	Info	Gene Name
2854	201850_at	NM_001747	CAPG		capping protein (actin filament), gelsolin-like

Fetching correlation data, please wait...
Getting list of correlations for id 2854.
Getting list of p-values for id 2854.
1 of 1 done.
Calculating corrections for multiple testing (n=23117), please wait...
Done; whole program took 0.133 seconds. Transmitting 50 results:

Rank	Label1	Label2	AccNum	GeneSym	Pearson r	Raw p	Bonferroni	FDR (BH)
1	201850_at	201765_s_at	AL523158	HEXA	0.727901	4.357361e-15	1.007291e-10	1.007291e-10
2	201850_at	202671_s_at	NM_003681	PDXK	0.703890	8.123531e-14	1.877917e-9	9.389584e-10
3	201850_at	209083_at	U34690	CORO1A	0.681765	9.404574e-13	2.174055e-8	7.246851e-9
4	201850_at	200824_at	NM_000852	GSTP1	0.679329	1.215665e-12	2.810252e-8	7.025629e-9
5	201850_at	207348_s_at	NM_002311	LIG3	0.673154	2.304603e-12	5.327552e-8	1.065510e-8
6	201850_at	202788_at	NM_004635	MAPKAPK3	0.671880	2.624656e-12	6.067418e-8	1.011236e-8
7	201850_at	202787_s_at	U43784	MAPKAPK3	0.669215	3.438392e-12	7.948532e-8	1.135505e-8
8	201850_at	210011_s_at	BC000527	EWSR1	0.668937	3.536047e-12	8.174279e-8	1.021785e-8
9	201850_at	205936_s_at	NM_002115	HK3	0.658629	9.785169e-12	2.262038e-7	2.513375e-8
10	201850_at	231715_s_at	NM_013328		0.658173	1.022671e-11	2.364108e-7	2.364108e-8
11	201850_at	217977_at	NM_016332	SEPX1	0.653599	1.585251e-11	3.664625e-7	3.331477e-8
12	201850_at	205147_x_at	NM_000631	NCF4	0.653434	1.610332e-11	3.722604e-7	3.102170e-8
13	201850_at	224612_s_at	AI935180	DNAJC5	0.646946	2.959925e-11	6.842458e-7	5.263429e-8
14	201850_at	200707_at	NM_002743	PRKCSH	0.646141	3.188655e-11	7.371215e-7	5.265153e-8
15	201850_at	201118_at	NM_002631	PGD	0.640138	5.520029e-11	1.276065e-6	8.507100e-8
16	201850_at	211975_at	BE299671	ARFGAP2	0.636006	7.997879e-11	1.848870e-6	1.155544e-7
17	201850_at	202025_x_at	NM_001607	ACAA1	0.633971	9.580828e-11	2.214800e-6	1.302824e-7
18	201850_at	202993_at	NM_006844	ILVBL	0.633343	1.012701e-10	2.341060e-6	1.300589e-7
19	201850_at	209949_at	BC001606	NCF2	0.632746	1.067384e-10	2.467472e-6	1.298669e-7
20	201850_at	207677_s_at	NM_013416	NCF4	0.631455	1.195601e-10	2.763870e-6	1.381935e-7
21	201850_at	202848_s_at	BG423052	GRK6	0.629743	1.388371e-10	3.209498e-6	1.528333e-7
22	201850_at	211543_s_at	AF040752	GRK6	0.623032	2.473320e-10	5.717575e-6	2.598898e-7
23	201850_at	209499_x_at	BF448647		0.621700	2.769264e-10	6.401708e-6	2.783351e-7
24	201850_at	209093_s_at	K02920		0.620972	2.944973e-10	6.807894e-6	2.836623e-7
25	201850_at	1552977_a_at	NM_006586	CNPY3	0.620963	2.947042e-10	6.812678e-6	2.725071e-7
26	201850_at	207419_s_at	NM_002872	RAC2	0.618992	3.478611e-10	8.041505e-6	3.092886e-7
27	201850_at	200611_s_at	AB010427	WDR1	0.614215	5.173734e-10	1.196012e-5	4.429674e-7
28	201850_at	202361_at	NM_004922	SEC24C	0.613083	5.678440e-10	1.312685e-5	4.688161e-7
29	201850_at	210378_s_at	BC004118	SSNA1	0.612049	6.180493e-10	1.428745e-5	4.926706e-7
30	201850_at	205715_at	NM_004334	BST1	0.611655	6.382734e-10	1.475497e-5	4.918322e-7
31	201850_at	209953_s_at	U63131	CDC37	0.609788	7.430545e-10	1.717719e-5	5.541029e-7
32	201850_at	219447_s_at	NM_015945	SLC35C2	0.609358	7.694325e-10	1.778697e-5	5.558428e-7
33	201850_at	202758_s_at	NM_003721	RFXANK	0.609341	7.704870e-10	1.781135e-5	5.397378e-7
34	201850_at	1553695_a_at	NM_170722	NLRX1	0.608045	8.556101e-10	1.977914e-5	5.817393e-7
35	201850_at	205633_s_at	NM_000688	ALAS1	0.606961	9.336142e-10	2.158236e-5	6.166388e-7
36	201850_at	205640_at	NM_000694	ALDH3B1	0.606702	9.532232e-10	2.203566e-5	6.121017e-7
37	201850_at	224615_x_at	AL110115	HM13	0.604744	1.114867e-9	2.577238e-5	6.965509e-7
38	201850_at	200805_at	NM_006816	LMAN2	0.604589	1.128757e-9	2.609347e-5	6.866703e-7
39	201850_at	228725_x_at	BF003112	PRMT2	0.600296	1.585164e-9	3.664423e-5	9.395955e-7
40	201850_at	222429_at	AF077353	DBNL	0.600267	1.588825e-9	3.672886e-5	9.182215e-7
41	201850_at	225743_at	AI125996	RPUSD3	0.598887	1.770240e-9	4.092263e-5	9.981129e-7
42	201850_at	212025_s_at	BG421186	FLII	0.598082	1.885018e-9	4.357597e-5	1.037523e-6
43	201850_at	214523_at	NM_001805	CEBPE	0.597353	1.994997e-9	4.611834e-5	1.072520e-6
44	201850_at	218282_at	NM_018217	EDEM2	0.596568	2.120363e-9	4.901643e-5	1.114010e-6
45	201850_at	221666_s_at	BC004470	PYCARD	0.596213	2.179496e-9	5.038340e-5	1.119631e-6
46	201850_at	227811_at	AK000004	FGD3	0.592978	2.795921e-9	6.463330e-5	1.405072e-6
47	201850_at	204445_s_at	AI361850	ALOX5	0.591227	3.195948e-9	7.388074e-5	1.571931e-6
48	201850_at	202275_at	NM_000402	G6PD	0.591219	3.197867e-9	7.392508e-5	1.540106e-6
49	201850_at	209215_at	L11669	MFSD10	0.590448	3.390965e-9	7.838894e-5	1.599774e-6
50	201850_at	219259_at	NM_022367	SEMA4A	0.589413	3.667557e-9	8.478291e-5	1.695658e-6

Note that correlations with a raw p-value above 0.05 may have been removed from the results.

Correlation Browser 2.0: Daniel Sachse, Sjur Reppe, Kåre Gautvik - 2013.

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