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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
2650	201622_at	NM_014390	SND1		staphylococcal nuclease and tudor domain containing 1

Fetching correlation data, please wait...
Getting list of correlations for id 2650.
Getting list of p-values for id 2650.
1 of 1 done.
Calculating corrections for multiple testing (n=23117), please wait...
Done; whole program took 0.137 seconds. Transmitting 50 results:

Rank	Label1	Label2	AccNum	GeneSym	Pearson r	Raw p	Bonferroni	FDR (BH)
1	201622_at	200913_at	NM_002707	PPM1G	0.833835	7.248637e-23	1.675667e-18	1.675667e-18
2	201622_at	224890_s_at	BE727643	C7orf59	0.829627	1.848531e-22	4.273249e-18	2.136625e-18
3	201622_at	202188_at	NM_014669	NUP93	0.825501	4.516762e-22	1.044140e-17	3.480467e-18
4	201622_at	201892_s_at	NM_000884	IMPDH2	0.825394	4.621148e-22	1.068271e-17	2.670677e-18
5	201622_at	218391_at	NM_007241	SNF8	0.818805	1.833391e-21	4.238251e-17	8.476501e-18
6	201622_at	208914_at	BE646414	GGA2	0.818456	1.969238e-21	4.552288e-17	7.587147e-18
7	201622_at	212539_at	AI422099	CHD1L	0.818248	2.054730e-21	4.749919e-17	6.785599e-18
8	201622_at	203010_at	NM_003152	STAT5A	0.815825	3.357671e-21	7.761928e-17	9.702410e-18
9	201622_at	223562_at	AF237772	PARVG	0.814703	4.205055e-21	9.720825e-17	1.080092e-17
10	201622_at	204949_at	NM_002162	ICAM3	0.812049	7.116334e-21	1.645083e-16	1.645083e-17
11	201622_at	209944_at	BC000330	ZNF410	0.809349	1.205339e-20	2.786382e-16	2.533074e-17
12	201622_at	214431_at	NM_003875	GMPS	0.804788	2.880713e-20	6.659344e-16	5.549453e-17
13	201622_at	210715_s_at	AF027205	SPINT2	0.804065	3.300498e-20	7.629761e-16	5.869047e-17
14	201622_at	202596_at	BC000436	ENSA	0.798670	8.947764e-20	2.068455e-15	1.477468e-16
15	201622_at	225266_at	AA526904	ZNF652	0.796032	1.441236e-19	3.331705e-15	2.221137e-16
16	201622_at	209503_s_at	AF035309	PSMC5	0.794488	1.899174e-19	4.390321e-15	2.743951e-16
17	201622_at	208770_s_at	BC005057	EIF4EBP2	0.788265	5.638355e-19	1.303419e-14	7.667168e-16
18	201622_at	234107_s_at	AL121780	DTD1	0.786892	7.133326e-19	1.649011e-14	9.161173e-16
19	201622_at	201748_s_at	NM_002967	SAFB	0.785827	8.551163e-19	1.976772e-14	1.040407e-15
20	201622_at	203322_at	AU145934	ADNP2	0.784586	1.054782e-18	2.438339e-14	1.219169e-15
21	201622_at	225451_at	AL136847	GRIPAP1	0.784448	1.079560e-18	2.495620e-14	1.188390e-15
22	201622_at	225364_at	BE222274	STK4	0.784258	1.114680e-18	2.576805e-14	1.171275e-15
23	201622_at	201764_at	NM_024056	TMEM106C	0.783823	1.199317e-18	2.772462e-14	1.205418e-15
24	201622_at	200957_s_at	NM_003146	SSRP1	0.778995	2.670142e-18	6.172568e-14	2.571903e-15
25	201622_at	213036_x_at	Y15724	ATP2A3	0.775281	4.875765e-18	1.127131e-13	4.508522e-15
26	201622_at	222994_at	AF197952	PRDX5	0.775000	5.100710e-18	1.179131e-13	4.535120e-15
27	201622_at	206571_s_at	NM_004834	MAP4K4	0.774214	5.784798e-18	1.337272e-13	4.952858e-15
28	201622_at	215089_s_at	AW409974	RBM10	0.771610	8.744746e-18	2.021523e-13	7.219725e-15
29	201622_at	219162_s_at	NM_016050	MRPL11	0.771482	8.922205e-18	2.062546e-13	7.112228e-15
30	201622_at	204695_at	AI343459	CDC25A	0.769749	1.170877e-17	2.706715e-13	9.022385e-15
31	201622_at	210719_s_at	BC002552	HMG20B	0.769116	1.292403e-17	2.987648e-13	9.637575e-15
32	201622_at	223020_at	AB045223	CLPTM1L	0.766790	1.852321e-17	4.282011e-13	1.338128e-14
33	201622_at	200019_s_at	NM_001997	FAU	0.765257	2.342823e-17	5.415903e-13	1.641183e-14
34	201622_at	205516_x_at	NM_012127	CIZ1	0.765214	2.358146e-17	5.451325e-13	1.603331e-14
35	201622_at	213113_s_at	AI630178	SLC43A3	0.763852	2.901058e-17	6.706377e-13	1.916108e-14
36	201622_at	201871_s_at	NM_015853	UBXN1	0.761292	4.267016e-17	9.864062e-13	2.740017e-14
37	201622_at	217784_at	BE384482	YKT6	0.758680	6.293515e-17	1.454872e-12	3.932086e-14
38	201622_at	220248_x_at	NM_018839	NSFL1C	0.758650	6.321346e-17	1.461306e-12	3.845541e-14
39	201622_at	221488_s_at	AF230924	CUTA	0.757676	7.298284e-17	1.687144e-12	4.326011e-14
40	201622_at	208637_x_at	BC003576	ACTN1	0.755973	9.366463e-17	2.165245e-12	5.413113e-14
41	201622_at	202567_at	NM_004175	SNRPD3	0.754215	1.209398e-16	2.795766e-12	6.818941e-14
42	201622_at	211160_x_at	M95178	ACTN1	0.754045	1.239426e-16	2.865181e-12	6.821859e-14
43	201622_at	203564_at	NM_004629	FANCG	0.753324	1.375342e-16	3.179378e-12	7.393903e-14
44	201622_at	208829_at	AF029750	TAPBP	0.753100	1.420519e-16	3.283815e-12	7.463215e-14
45	201622_at	224465_s_at	BC006135	WIBG	0.752687	1.507392e-16	3.484638e-12	7.743640e-14
46	201622_at	203064_s_at	NM_004514	FOXK2	0.752644	1.516751e-16	3.506272e-12	7.622331e-14
47	201622_at	213619_at	AV753392	HNRNPH1	-0.750971	1.926890e-16	4.454391e-12	9.477429e-14
48	201622_at	213473_at	AL042733	BRAP	0.750718	1.997555e-16	4.617747e-12	9.620306e-14
49	201622_at	235674_at	AW575183	KIAA0922	0.749656	2.322707e-16	5.369401e-12	1.095796e-13
50	201622_at	221548_s_at	AY024365	ILKAP	0.749188	2.481745e-16	5.737049e-12	1.147410e-13

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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