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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
6544	208693_s_at	D30658	GARS		glycyl-tRNA synthetase

Fetching correlation data, please wait...
Getting list of correlations for id 6544.
Getting list of p-values for id 6544.
1 of 1 done.
Calculating corrections for multiple testing (n=23117), please wait...
Done; whole program took 0.191 seconds. Transmitting 50 results:

Rank	Label1	Label2	AccNum	GeneSym	Pearson r	Raw p	Bonferroni	FDR (BH)
1	208693_s_at	213179_at	BG289914	RQCD1	0.809560	1.157040e-20	2.674729e-16	2.674729e-16
2	208693_s_at	218886_at	NM_017906	PAK1IP1	0.787236	6.725866e-19	1.554818e-14	7.774092e-15
3	208693_s_at	212571_at	U00955	CHD8	0.782925	1.393961e-18	3.222419e-14	1.074140e-14
4	208693_s_at	201305_x_at	AV712577	ANP32B	0.782517	1.492050e-18	3.449171e-14	8.622928e-15
5	208693_s_at	209932_s_at	U90223	DUT	0.767173	1.746135e-17	4.036540e-13	8.073080e-14
6	208693_s_at	213473_at	AL042733	BRAP	0.763924	2.869637e-17	6.633739e-13	1.105623e-13
7	208693_s_at	223109_at	BC001457	TRUB2	0.760599	4.732716e-17	1.094062e-12	1.562946e-13
8	208693_s_at	201263_at	NM_003191	TARS	0.754340	1.187612e-16	2.745404e-12	3.431754e-13
9	208693_s_at	208783_s_at	AL570661	CD46	-0.753733	1.296574e-16	2.997290e-12	3.330322e-13
10	208693_s_at	206571_s_at	NM_004834	MAP4K4	0.750710	1.999929e-16	4.623236e-12	4.623236e-13
11	208693_s_at	218149_s_at	NM_017606	ZNF395	0.749762	2.288012e-16	5.289197e-12	4.808361e-13
12	208693_s_at	222684_s_at	BG031619	NOL10	0.743880	5.205532e-16	1.203363e-11	1.002802e-12
13	208693_s_at	201622_at	NM_014390	SND1	0.738098	1.143200e-15	2.642737e-11	2.032874e-12
14	208693_s_at	41512_at	AL042733	BRAP	0.737975	1.162124e-15	2.686483e-11	1.918916e-12
15	208693_s_at	209503_s_at	AF035309	PSMC5	0.733516	2.101433e-15	4.857883e-11	3.238589e-12
16	208693_s_at	200957_s_at	NM_003146	SSRP1	0.731774	2.640127e-15	6.103181e-11	3.814488e-12
17	208693_s_at	203010_at	NM_003152	STAT5A	0.730704	3.034887e-15	7.015749e-11	4.126911e-12
18	208693_s_at	222792_s_at	AI201880	CCDC59	0.730179	3.248829e-15	7.510317e-11	4.172398e-12
19	208693_s_at	202596_at	BC000436	ENSA	0.729868	3.381998e-15	7.818164e-11	4.114823e-12
20	208693_s_at	200630_x_at	AV702810	SET	0.727087	4.836090e-15	1.117959e-10	5.589794e-12
21	208693_s_at	201901_s_at	Z14077	YY1	0.720616	1.093028e-14	2.526754e-10	1.203216e-11
22	208693_s_at	53968_at	AI869988	INTS5	0.720366	1.127541e-14	2.606536e-10	1.184789e-11
23	208693_s_at	208648_at	W60953	VCP	0.719770	1.214014e-14	2.806436e-10	1.220190e-11
24	208693_s_at	209944_at	BC000330	ZNF410	0.718482	1.423214e-14	3.290045e-10	1.370852e-11
25	208693_s_at	204710_s_at	NM_016003	WIPI2	0.716713	1.768143e-14	4.087417e-10	1.634967e-11
26	208693_s_at	222338_x_at	AI375965	LOC646808	0.716702	1.770469e-14	4.092794e-10	1.574151e-11
27	208693_s_at	204695_at	AI343459	CDC25A	0.716695	1.771858e-14	4.096005e-10	1.517039e-11
28	208693_s_at	203564_at	NM_004629	FANCG	0.716009	1.926564e-14	4.453637e-10	1.590585e-11
29	208693_s_at	225870_s_at	BF569208	TRAPPC5	0.715351	2.087095e-14	4.824738e-10	1.663703e-11
30	208693_s_at	214431_at	NM_003875	GMPS	0.714442	2.330279e-14	5.386906e-10	1.795635e-11
31	208693_s_at	201462_at	NM_014766	SCRN1	0.713004	2.771801e-14	6.407573e-10	2.066959e-11
32	208693_s_at	225269_s_at	BE384529	RBMS1	0.712842	2.826421e-14	6.533837e-10	2.041824e-11
33	208693_s_at	1569952_x_at	BC030617		-0.712093	3.092141e-14	7.148102e-10	2.166092e-11
34	208693_s_at	208676_s_at	U87954	PA2G4	0.711244	3.422365e-14	7.911481e-10	2.326906e-11
35	208693_s_at	204028_s_at	NM_012197	RABGAP1	0.710859	3.583340e-14	8.283607e-10	2.366745e-11
36	208693_s_at	213571_s_at	BF516289	EIF4E2	0.710498	3.740718e-14	8.647417e-10	2.402060e-11
37	208693_s_at	210231_x_at	D45198	SET	0.709305	4.309633e-14	9.962579e-10	2.692589e-11
38	208693_s_at	218136_s_at	NM_018579	SLC25A37	0.709197	4.364939e-14	1.009043e-9	2.655376e-11
39	208693_s_at	219162_s_at	NM_016050	MRPL11	0.708177	4.923866e-14	1.138250e-9	2.918590e-11
40	208693_s_at	232652_x_at	AF207829	SCAND1	0.707799	5.148325e-14	1.190138e-9	2.975345e-11
41	208693_s_at	224680_at	AL539253	TMED4	0.705428	6.795394e-14	1.570891e-9	3.831442e-11
42	208693_s_at	218189_s_at	NM_018946	NANS	0.705078	7.078033e-14	1.636229e-9	3.895783e-11
43	208693_s_at	210621_s_at	M23612	RASA1	-0.704930	7.200577e-14	1.664557e-9	3.871063e-11
44	208693_s_at	221830_at	AI302106	RAP2A	0.704309	7.738834e-14	1.788986e-9	4.065878e-11
45	208693_s_at	225234_at	AV710415	CBL	0.702883	9.126012e-14	2.109660e-9	4.688134e-11
46	208693_s_at	232520_s_at	AK023585	NSFL1C	0.701898	1.022161e-13	2.362931e-9	5.136806e-11
47	208693_s_at	218547_at	NM_024887	DHDDS	0.701424	1.079205e-13	2.494797e-9	5.308079e-11
48	208693_s_at	218391_at	NM_007241	SNF8	0.700932	1.141747e-13	2.639377e-9	5.498701e-11
49	208693_s_at	231845_at	AI721172	AARS2	0.700680	1.175133e-13	2.716554e-9	5.543987e-11
50	208693_s_at	224217_s_at	AF094700	FAF1	0.698436	1.516640e-13	3.506017e-9	7.012034e-11

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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