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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
3268	202328_s_at	NM_000296	PKD1		polycystic kidney disease 1 (autosomal dominant)

Fetching correlation data, please wait...
Getting list of correlations for id 3268.
Getting list of p-values for id 3268.
1 of 1 done.
Calculating corrections for multiple testing (n=23117), please wait...
Done; whole program took 0.175 seconds. Transmitting 50 results:

Rank	Label1	Label2	AccNum	GeneSym	Pearson r	Raw p	Bonferroni	FDR (BH)
1	202328_s_at	205717_x_at	NM_002588		0.847313	3.003886e-24	6.944082e-20	6.944082e-20
2	202328_s_at	209079_x_at	AF152318		0.839550	1.948282e-23	4.503844e-19	2.251922e-19
3	202328_s_at	215836_s_at	AK026188		0.832868	9.008668e-23	2.082534e-18	6.941779e-19
4	202328_s_at	203238_s_at	NM_000435	NOTCH3	0.814664	4.238216e-21	9.797483e-17	2.449371e-17
5	202328_s_at	212484_at	BF974389	FAM89B	0.811574	7.813323e-21	1.806206e-16	3.612412e-17
6	202328_s_at	219922_s_at	NM_021070	LTBP3	0.793091	2.432511e-19	5.623235e-15	9.372059e-16
7	202328_s_at	216264_s_at	X79683	LAMB2	0.792881	2.524216e-19	5.835231e-15	8.336044e-16
8	202328_s_at	213041_s_at	BE798517	ATP5D	0.792582	2.660726e-19	6.150801e-15	7.688502e-16
9	202328_s_at	202039_at	NM_004740		0.789590	4.485888e-19	1.037003e-14	1.152225e-15
10	202328_s_at	203926_x_at	NM_001687	ATP5D	0.788890	5.063171e-19	1.170453e-14	1.170453e-15
11	202328_s_at	209156_s_at	AY029208	COL6A2	0.786844	7.192212e-19	1.662624e-14	1.511476e-15
12	202328_s_at	201828_x_at	NM_003928	FAM127A	0.784871	1.005211e-18	2.323747e-14	1.936456e-15
13	202328_s_at	208824_x_at	BC001048	CDK16	0.781733	1.700211e-18	3.930378e-14	3.023368e-15
14	202328_s_at	201809_s_at	NM_000118	ENG	0.781676	1.716400e-18	3.967802e-14	2.834144e-15
15	202328_s_at	37996_s_at	L08835	DMPK	0.781431	1.787506e-18	4.132177e-14	2.754785e-15
16	202328_s_at	226198_at	AV751731	TOM1L2	0.775265	4.888553e-18	1.130087e-13	7.063042e-15
17	202328_s_at	227219_x_at	BE857601	MAP1LC3A	0.774402	5.613598e-18	1.297695e-13	7.633502e-15
18	202328_s_at	208611_s_at	U83867	SPTAN1	0.774001	5.984494e-18	1.383436e-13	7.685753e-15
19	202328_s_at	212775_at	AI978623	OBSL1	0.771267	9.228892e-18	2.133443e-13	1.122865e-14
20	202328_s_at	218175_at	NM_025140	CCDC92	0.769916	1.140731e-17	2.637029e-13	1.318514e-14
21	202328_s_at	38918_at	AF083105	SOX13	0.766447	1.952454e-17	4.513487e-13	2.149280e-14
22	202328_s_at	212983_at	NM_005343	HRAS	0.766292	1.999632e-17	4.622548e-13	2.101158e-14
23	202328_s_at	208792_s_at	M25915	CLU	0.766130	2.049863e-17	4.738667e-13	2.060290e-14
24	202328_s_at	218533_s_at	NM_017859	UCKL1	0.758284	6.672995e-17	1.542596e-12	6.427485e-14
25	202328_s_at	45714_at	AA436930	HCFC1R1	0.757862	7.100704e-17	1.641470e-12	6.565879e-14
26	202328_s_at	226377_at	AI093722		0.756083	9.217514e-17	2.130813e-12	8.195433e-14
27	202328_s_at	224378_x_at	AF276658	MAP1LC3A	0.754305	1.193662e-16	2.759388e-12	1.021995e-13
28	202328_s_at	207390_s_at	NM_006932	SMTN	0.750848	1.961004e-16	4.533252e-12	1.619019e-13
29	202328_s_at	212099_at	AI263909	RHOB	0.750259	2.132188e-16	4.928980e-12	1.699648e-13
30	202328_s_at	211066_x_at	BC006439		0.749903	2.242824e-16	5.184735e-12	1.728245e-13
31	202328_s_at	225628_s_at	BE677453	MLLT6	0.748220	2.844441e-16	6.575495e-12	2.121127e-13
32	202328_s_at	1557938_s_at	AL545542	PTRF	0.747472	3.159685e-16	7.304244e-12	2.282576e-13
33	202328_s_at	212285_s_at	AW008051	AGRN	0.747370	3.205082e-16	7.409187e-12	2.245208e-13
34	202328_s_at	201361_at	NM_024092	TMEM109	0.746553	3.593134e-16	8.306248e-12	2.443014e-13
35	202328_s_at	211958_at	R73554	IGFBP5	0.745437	4.197211e-16	9.702692e-12	2.772198e-13
36	202328_s_at	214771_x_at	AK025604	MPRIP	0.744392	4.850396e-16	1.121266e-11	3.114628e-13
37	202328_s_at	212518_at	AB011161	PIP5K1C	0.744174	4.998776e-16	1.155567e-11	3.123154e-13
38	202328_s_at	206284_x_at	NM_001834	CLTB	0.740726	8.016228e-16	1.853111e-11	4.876609e-13
39	202328_s_at	214679_x_at	AL110227	GNA11	0.737824	1.186034e-15	2.741755e-11	7.030142e-13
40	202328_s_at	202409_at	X07868		0.735846	1.544467e-15	3.570345e-11	8.925862e-13
41	202328_s_at	217943_s_at	NM_018067	MAP7D1	0.734582	1.825875e-15	4.220876e-11	1.029482e-12
42	202328_s_at	208791_at	M25915	CLU	0.733277	2.168429e-15	5.012756e-11	1.193513e-12
43	202328_s_at	202801_at	NM_002730	PRKACA	0.732756	2.321894e-15	5.367523e-11	1.248261e-12
44	202328_s_at	207191_s_at	NM_005545	ISLR	0.732458	2.414450e-15	5.581484e-11	1.268519e-12
45	202328_s_at	201255_x_at	NM_004639	BAT3	0.732032	2.552613e-15	5.900876e-11	1.311306e-12
46	202328_s_at	222240_s_at	AL137749	ISYNA1	0.731133	2.869978e-15	6.634528e-11	1.442289e-12
47	202328_s_at	205378_s_at	NM_015831	ACHE	0.727940	4.335702e-15	1.002284e-10	2.132520e-12
48	202328_s_at	202572_s_at	NM_014902	DLGAP4	0.727637	4.507484e-15	1.041995e-10	2.170823e-12
49	202328_s_at	200035_at	NM_015343	DULLARD	0.726825	5.000623e-15	1.155994e-10	2.359171e-12
50	202328_s_at	201471_s_at	NM_003900	SQSTM1	0.726151	5.449295e-15	1.259714e-10	2.519427e-12

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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