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Trait Data and Analysis  for Record ID 1455931_at

  Details and Links

Gene Symbol: Chrna3
Aliases: (a)3; A730007P14Rik; Acra-3; Acra3; LNCR2; PAOD2; MGC104879; CHRNA3
Description: cholinergic receptor, nicotinic, alpha polypeptide 3; mid and mid-distal 3' UTR
Location: Chr 9 @ 55.011606 Mb on the minus strand
Target Score: BLAT specificity: 11.1   Score: 222  
Species and Group: Mouse, LXS
Database 3: VCU LXS PFC Sal M430A 2.0 (Aug06) RMA
Resource Links: Gene  OMIM  UniGene  GenBank  HomoloGene  
UCSC  BioGPS  STRING  PANTHER  Gemma  ABA  EBI GWAS  Wiki-Pi  

Add To Collection Find similar expression data  Check probe locations at UCSC  Write or review comments about this gene  View SNPs and Indels  Check sequence of probes
AddFindVerifyGeneWikiSNPsProbes

  Basic Statistics



StatisticValue
N of Samples42
Mean4.642
Median4.676
Standard Error (SE)0.025
Standard Deviation (SD)0.159
Minimum4.301
Maximum4.961
Range (log2)0.661
Range (fold)1.581
Interquartile Range1.138

nP_EUpZheQx.gif


This plot evaluates whether data are normally distributed. Different symbols represent different groups.

More about Normal Probability Plots and more about interpreting these plots from the glossary

Box_eidoNpaR.gif

More about Box Plots

Bar_kmDfknEt.gif

Bar_aT3kPfDb.gif

  Calculate Correlations

Database:
Return:

Pearson    Spearman Rank



The Sample Correlation is computed between trait data and any
other traits in the sample database selected above. Use Spearman Rank
when the sample size is small (<20) or when there are influential outliers.
Database:
Return:



The Literature Correlation (Lit r) between this gene and all other genes is computed
using the Semantic Gene Organizer and human, rat, and mouse data from PubMed.
Values are ranked by Lit r, but Sample r and Tissue r are also displayed.

More on using Lit r
Database:
Return:

Pearson    Spearman Rank



The Tissue Correlation (Tissue r) estimates the similarity of expression of two genes
or transcripts across different cells, tissues, or organs (glossary). Tissue correlations
are generated by analyzing expression in multiple samples usually taken from single cases.
Pearson and Spearman Rank correlations have been computed for all pairs of genes
using data from mouse samples.

  Mapping Tools

Chromosome:
Mapping Scale:
Permutations:

Bootstrap Test (n=2000)
Use Parents
Use Weighted



Interval Mapping computes linkage maps for the entire genome or single
chromosomes. The Permutation Test estimates suggestive and significant
linkage scores. The Bootstrap Test estimates the precision of the QTL location.

Display LRS above:
Permutations:

Display all LRS
Use Parents
Use Weighted



Marker regression computes and displays LRS values for individual markers.
This function also lists additive effects (phenotype units per allele) and
dominance deviations for some datasets.

Chromosome:
Mapping Scale:
Control Locus:
Permutations:

Bootstrap Test (n=2000)
Use Parents



Composite Interval Mapping allows you to control for a single marker as
a cofactor. To find a control marker, run the Marker Regression function.

Sort by:
Return:

Permutation Test (n=500)



Pair-Scan searches for pairs of chromosomal regions that are
involved in two-locus epistatic interactions.

  Review and Edit Data

Edit or delete values in the Trait Data boxes, and use the Reset option as needed.

  Block samples by index:        
  Options:                       


  Outliers highlighted in  yellow  can be hidden using the Hide Outliers button,
  and samples with no value (x) can be hidden by clicking Hide No Value .


IndexSampleValue
1 LSF1
2 SLF1
3 ISS
4 ILS
5 LXS2
6 LXS3
7 LXS5
8 LXS7
9 LXS8
10 LXS9
11 LXS10
12 LXS13
13 LXS14
14 LXS16
15 LXS19
16 LXS22
17 LXS23
18 LXS24
19 LXS25
20 LXS26
21 LXS28
22 LXS31
23 LXS32
24 LXS34
25 LXS35
26 LXS36
27 LXS38
28 LXS39
29 LXS41
30 LXS42
31 LXS43
32 LXS46
33 LXS48
34 LXS49
35 LXS50
36 LXS51
37 LXS52
38 LXS54
39 LXS55
40 LXS56
41 LXS59
42 LXS60
43 LXS61
44 LXS62
45 LXS64
46 LXS66
47 LXS68
48 LXS70
49 LXS72
50 LXS73
51 LXS75
52 LXS76
53 LXS78
54 LXS79
55 LXS80
56 LXS84
57 LXS86
58 LXS87
59 LXS88
60 LXS89
61 LXS90
62 LXS92
63 LXS93
64 LXS94
65 LXS96
66 LXS97
67 LXS98
68 LXS99
69 LXS100
70 LXS101
71 LXS102
72 LXS103
73 LXS107
74 LXS110
75 LXS112
76 LXS114
77 LXS115
78 LXS117
79 LXS122
80 LXS123
81 LXS124

CITG Web services initiated January, 1994 as Portable Dictionary of the Mouse Genome; June 15, 2001 as WebQTL; and Jan 5, 2005 as GeneNetwork. This site is currently operated by Rob Williams, Pjotr Prins, Zachary Sloan, Arthur Centeno. Design and code by Pjotr Prins, Zach Sloan, Arthur Centeno, Danny Arends, Christian Fischer, Sam Ockman, Lei Yan, Xiaodong Zhou, Christian Fernandez, Ning Liu, Rudi Alberts, Elissa Chesler, Sujoy Roy, Evan G. Williams, Alexander G. Williams, Kenneth Manly, Jintao Wang, and Robert W. Williams, colleagues. Python Powered Registered with Nif
GeneNetwork support from:
  • The UT Center for Integrative and Translational Genomics
  • NIGMS Systems Genetics and Precision Medicine project (R01 GM123489, 2017-2021)
  • NIDA NIDA Core Center of Excellence in Transcriptomics, Systems Genetics, and the Addictome (P30 DA044223, 2017-2022)
  • NIA Translational Systems Genetics of Mitochondria, Metabolism, and Aging (R01AG043930, 2013-2018)
  • NIAAA Integrative Neuroscience Initiative on Alcoholism (U01 AA016662, U01 AA013499, U24 AA013513, U01 AA014425, 2006-2017)
  • NIDA, NIMH, and NIAAA (P20-DA 21131, 2001-2012)
  • NCI MMHCC (U01CA105417), NCRR, BIRN, (U24 RR021760)
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