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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
2933	201939_at	NM_006622	PLK2		polo-like kinase 2

Fetching correlation data, please wait...
Getting list of correlations for id 2933.
Getting list of p-values for id 2933.
1 of 1 done.
Calculating corrections for multiple testing (n=23117), please wait...
Done; whole program took 0.153 seconds. Transmitting 50 results:

Rank	Label1	Label2	AccNum	GeneSym	Pearson r	Raw p	Bonferroni	FDR (BH)
1	201939_at	204589_at	NM_014840	NUAK1	0.719625	1.236020e-14	2.857307e-10	2.857307e-10
2	201939_at	202202_s_at	NM_002290	LAMA4	0.707751	5.177061e-14	1.196781e-9	5.983906e-10
3	201939_at	203874_s_at	NM_003069	SMARCA1	0.703096	8.904309e-14	2.058409e-9	6.861364e-10
4	201939_at	213069_at	AI148659	HEG1	0.695590	2.089052e-13	4.829260e-9	1.207315e-9
5	201939_at	225308_s_at	AB051515	TANC1	0.693696	2.580186e-13	5.964615e-9	1.192923e-9
6	201939_at	227792_at	AA490685	ITPRIPL2	0.692788	2.853279e-13	6.595925e-9	1.099321e-9
7	201939_at	212169_at	AL050187	FKBP9	0.691732	3.206126e-13	7.411601e-9	1.058800e-9
8	201939_at	204036_at	AW269335	LPAR1	0.682776	8.448863e-13	1.953124e-8	2.441405e-9
9	201939_at	226342_at	AW593244	SPTBN1	0.672639	2.429203e-12	5.615588e-8	6.239542e-9
10	201939_at	228121_at	AU145950	TGFB2	0.669564	3.319496e-12	7.673680e-8	7.673680e-9
11	201939_at	229657_at	BF431989	THRB	0.668649	3.639942e-12	8.414453e-8	7.649503e-9
12	201939_at	202011_at	NM_003257	TJP1	0.667240	4.192922e-12	9.692777e-8	8.077314e-9
13	201939_at	214247_s_at	AU148057	DKK3	0.662950	6.417819e-12	1.483607e-7	1.141236e-8
14	201939_at	226137_at	AI288759	ZFHX3	0.661759	7.213923e-12	1.667642e-7	1.191173e-8
15	201939_at	201289_at	NM_001554	CYR61	0.658282	1.011968e-11	2.339365e-7	1.559577e-8
16	201939_at	236038_at	N50714		0.654374	1.472501e-11	3.403980e-7	2.127487e-8
17	201939_at	45297_at	AI417917	EHD2	0.653821	1.552082e-11	3.587948e-7	2.110558e-8
18	201939_at	228827_at	AI217416		0.652058	1.834381e-11	4.240538e-7	2.355855e-8
19	201939_at	202967_at	NM_001512	GSTA4	0.652021	1.840800e-11	4.255378e-7	2.239672e-8
20	201939_at	219091_s_at	NM_024756	MMRN2	0.651407	1.950650e-11	4.509318e-7	2.254659e-8
21	201939_at	212589_at	AI753792	RRAS2	0.650987	2.029395e-11	4.691352e-7	2.233977e-8
22	201939_at	1553960_at	CA447177	SNX21	0.649807	2.267031e-11	5.240696e-7	2.382134e-8
23	201939_at	65718_at	AI655903	GPR124	0.648989	2.447429e-11	5.657721e-7	2.459879e-8
24	201939_at	230250_at	AI670852	PTPRB	0.647939	2.699131e-11	6.239581e-7	2.599825e-8
25	201939_at	211986_at	BG287862	AHNAK	0.646729	3.019980e-11	6.981288e-7	2.792515e-8
26	201939_at	218625_at	NM_016588	NRN1	0.645109	3.507400e-11	8.108057e-7	3.118483e-8
27	201939_at	207076_s_at	NM_000050	ASS1	0.642364	4.510293e-11	1.042644e-6	3.861646e-8
28	201939_at	215314_at	AU146646	ANK3	0.641816	4.740781e-11	1.095926e-6	3.914023e-8
29	201939_at	225688_s_at	AK025444	PHLDB2	0.640525	5.329997e-11	1.232135e-6	4.248743e-8
30	201939_at	203632_s_at	NM_016235	GPRC5B	0.640280	5.449450e-11	1.259749e-6	4.199165e-8
31	201939_at	212558_at	BF508662	SPRY1	0.636514	7.643974e-11	1.767057e-6	5.700185e-8
32	201939_at	203854_at	NM_000204	CFI	0.634697	8.984628e-11	2.076976e-6	6.490551e-8
33	201939_at	226322_at	BF109231	TMTC1	0.631426	1.198592e-10	2.770784e-6	8.396317e-8
34	201939_at	218285_s_at	NM_020139	BDH2	0.631024	1.241575e-10	2.870149e-6	8.441615e-8
35	201939_at	212624_s_at	BF339445	CHN1	0.630874	1.257964e-10	2.908035e-6	8.308673e-8
36	201939_at	228109_at	AI912976	RASGRF2	0.630648	1.283028e-10	2.965976e-6	8.238823e-8
37	201939_at	213766_x_at	N36926	GNA11	0.630098	1.346082e-10	3.111739e-6	8.410104e-8
38	201939_at	203038_at	NM_002844	PTPRK	0.629907	1.368661e-10	3.163934e-6	8.326143e-8
39	201939_at	208789_at	BC004295	PTRF	0.629769	1.385307e-10	3.202415e-6	8.211320e-8
40	201939_at	203188_at	NM_006876	B3GNT1	0.629554	1.411436e-10	3.262817e-6	8.157042e-8
41	201939_at	224955_at	AI590088	TEAD1	0.628549	1.540235e-10	3.560560e-6	8.684294e-8
42	201939_at	203903_s_at	NM_014799	HEPH	0.628309	1.572557e-10	3.635280e-6	8.655428e-8
43	201939_at	200771_at	NM_002293	LAMC1	0.627046	1.753948e-10	4.054602e-6	9.429306e-8
44	201939_at	230791_at	AU146924		0.626955	1.767751e-10	4.086510e-6	9.287523e-8
45	201939_at	227449_at	AI799018	EPHA4	0.626074	1.907101e-10	4.408646e-6	9.796991e-8
46	201939_at	219489_s_at	NM_017821		0.625800	1.952385e-10	4.513329e-6	9.811584e-8
47	201939_at	213029_at	BG478428	NFIB	0.625624	1.982206e-10	4.582266e-6	9.749502e-8
48	201939_at	201324_at	NM_001423	EMP1	0.625555	1.993882e-10	4.609257e-6	9.602618e-8
49	201939_at	218259_at	NM_014048	MKL2	0.624473	2.187542e-10	5.056941e-6	1.032029e-7
50	201939_at	217890_s_at	NM_018222	PARVA	0.624112	2.255963e-10	5.215110e-6	1.043022e-7

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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