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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
2855	201851_at	NM_003025	SH3GL1		SH3-domain GRB2-like 1

Fetching correlation data, please wait...
Getting list of correlations for id 2855.
Getting list of p-values for id 2855.
1 of 1 done.
Calculating corrections for multiple testing (n=23117), please wait...
Done; whole program took 0.134 seconds. Transmitting 50 results:

Rank	Label1	Label2	AccNum	GeneSym	Pearson r	Raw p	Bonferroni	FDR (BH)
1	201851_at	201412_at	NM_014045	LRP10	0.796285	1.377267e-19	3.183828e-15	3.183828e-15
2	201851_at	1566303_s_at	AV755778	PPP1R11	0.759559	5.524852e-17	1.277180e-12	6.385900e-13
3	201851_at	205423_at	NM_001127	AP1B1	0.756011	9.314507e-17	2.153235e-12	7.177448e-13
4	201851_at	216071_x_at	AF132033	MED12	0.755655	9.810871e-17	2.267979e-12	5.669948e-13
5	201851_at	212512_s_at	AA551784	CARM1	0.753943	1.257912e-16	2.907914e-12	5.815828e-13
6	201851_at	201281_at	NM_007002	ADRM1	0.752499	1.548684e-16	3.580093e-12	5.966822e-13
7	201851_at	210428_s_at	AF260566	HGS	0.738776	1.043498e-15	2.412255e-11	3.446078e-12
8	201851_at	201500_s_at	NM_021959	PPP1R11	0.733705	2.049884e-15	4.738716e-11	5.923395e-12
9	201851_at	203506_s_at	NM_005120	MED12	0.732820	2.302429e-15	5.322525e-11	5.913917e-12
10	201851_at	215497_s_at	AK023778	WDTC1	0.732278	2.472069e-15	5.714681e-11	5.714681e-12
11	201851_at	214246_x_at	AI859060	MINK1	0.731953	2.579326e-15	5.962627e-11	5.420570e-12
12	201851_at	208998_at	U94592	UCP2	0.722989	8.127246e-15	1.878775e-10	1.565646e-11
13	201851_at	200613_at	NM_004068	AP2M1	0.721099	1.029339e-14	2.379522e-10	1.830402e-11
14	201851_at	205740_s_at	NM_024321	RBM42	0.720397	1.123150e-14	2.596386e-10	1.854561e-11
15	201851_at	218813_s_at	NM_020145	SH3GLB2	0.720237	1.145696e-14	2.648505e-10	1.765670e-11
16	201851_at	205390_s_at	NM_000037	ANK1	0.716469	1.821447e-14	4.210639e-10	2.631649e-11
17	201851_at	216253_s_at	N73272	PARVB	0.715746	1.989231e-14	4.598506e-10	2.705004e-11
18	201851_at	209963_s_at	M34986	EPOR	0.715042	2.166843e-14	5.009091e-10	2.782829e-11
19	201851_at	212126_at	BG391282	CBX5	0.714236	2.389185e-14	5.523078e-10	2.906883e-11
20	201851_at	224927_at	BG251556	KIAA1949	0.714074	2.436339e-14	5.632086e-10	2.816043e-11
21	201851_at	40829_at	AB028960	WDTC1	0.713761	2.530164e-14	5.848980e-10	2.785228e-11
22	201851_at	201234_at	NM_004517	ILK	0.712765	2.852469e-14	6.594052e-10	2.997297e-11
23	201851_at	200000_s_at	NM_006445	PRPF8	0.711577	3.289026e-14	7.603242e-10	3.305758e-11
24	201851_at	218075_at	NM_015665	AAAS	0.703403	8.594324e-14	1.986750e-9	8.278124e-11
25	201851_at	211342_x_at	BC004354	MED12	0.701843	1.028553e-13	2.377707e-9	9.510828e-11
26	201851_at	1553993_s_at	BC024312	MED25	0.699730	1.309539e-13	3.027261e-9	1.164331e-10
27	201851_at	206491_s_at	NM_003827	NAPA	0.697555	1.675386e-13	3.872991e-9	1.434441e-10
28	201851_at	210417_s_at	U81802	PI4KB	0.697186	1.746611e-13	4.037642e-9	1.442015e-10
29	201851_at	210023_s_at	BC004952	PCGF1	0.697015	1.780365e-13	4.115669e-9	1.419196e-10
30	201851_at	218148_at	NM_025082	CENPT	0.694519	2.354586e-13	5.443096e-9	1.814365e-10
31	201851_at	217912_at	NM_022156	DUS1L	0.692894	2.820003e-13	6.519001e-9	2.102904e-10
32	201851_at	209241_x_at	AB041926	MINK1	0.692806	2.847522e-13	6.582616e-9	2.057067e-10
33	201851_at	209962_at	M34986	EPOR	0.692362	2.990976e-13	6.914239e-9	2.095224e-10
34	201851_at	227042_at	BE218514	YDJC	0.691841	3.167653e-13	7.322663e-9	2.153724e-10
35	201851_at	217297_s_at	AF143684	MYO9B	0.690726	3.580995e-13	8.278186e-9	2.365196e-10
36	201851_at	209729_at	BC001782	GAS2L1	0.690169	3.806309e-13	8.799044e-9	2.444179e-10
37	201851_at	212083_at	BG170659	TEX261	0.689491	4.099174e-13	9.476060e-9	2.561097e-10
38	201851_at	37965_at	AA181053	PARVB	0.688720	4.458276e-13	1.030620e-8	2.712157e-10
39	201851_at	52078_at	AI828080	TMEM222	0.686875	5.445701e-13	1.258883e-8	3.227905e-10
40	201851_at	200611_s_at	AB010427	WDR1	0.686644	5.583016e-13	1.290626e-8	3.226564e-10
41	201851_at	218632_at	NM_024602	HECTD3	0.686548	5.641480e-13	1.304141e-8	3.180831e-10
42	201851_at	202059_s_at	NM_002264	KPNA1	0.685840	6.088335e-13	1.407441e-8	3.351049e-10
43	201851_at	200623_s_at	NM_005184	CALM3	0.683827	7.553773e-13	1.746206e-8	4.060944e-10
44	201851_at	206139_at	NM_002651	PI4KB	0.683211	8.066357e-13	1.864700e-8	4.237954e-10
45	201851_at	209100_at	BC001327	IFRD2	0.682424	8.769931e-13	2.027345e-8	4.505211e-10
46	201851_at	221063_x_at	NM_022064	RNF123	0.682144	9.034426e-13	2.088488e-8	4.540192e-10
47	201851_at	209930_s_at	L13974	NFE2	0.682052	9.123511e-13	2.109082e-8	4.487409e-10
48	201851_at	221512_at	AL136683	TMEM222	0.679571	1.185153e-12	2.739718e-8	5.707746e-10
49	201851_at	218494_s_at	NM_020062	SLC2A4RG	0.679038	1.253284e-12	2.897217e-8	5.912687e-10
50	201851_at	218017_s_at	NM_025070	HGSNAT	0.678808	1.283774e-12	2.967699e-8	5.935399e-10

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.

Search Options: Find correlations between...
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