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Trait Data and Analysis  for Record ID 10018191514

  Details and Links

Gene Symbol: Chrna3
Aliases: BE944692
Description: cholinergic receptor, nicotinic, alpha polypeptide 3
Location: Chr 9 @ 55.012525 Mb on the minus strand
Target Score:
Species and Group: Mouse, BDF2-1999
Database 3: UCLA BDF2 Liver (1999) mlratio
Resource Links: Gene  OMIM  HomoloGene  
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
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  Basic Statistics

Include:    

StatisticValue
N of Samples111
Mean0.105
Median0.048
Standard Error (SE)0.053
Standard Deviation (SD)0.557
Minimum-2.000
Maximum2.000

nP_MVfptUdD.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_q9ionx84.gif

More about Box Plots

Bar_BOLA8Bae.gif

Bar_rAFEhT46.gif

StatisticValue
N of Samples110
Mean0.106
Median0.047
Standard Error (SE)0.053
Standard Deviation (SD)0.559
Minimum-2.000
Maximum2.000

nP_W3pL1obE.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_msdgtBaH.gif

More about Box Plots

Bar_3yR6OmAs.gif

Bar_Av2IkEFu.gif

Fewer than 4 non-BDF2-1999 case data were entered. No statistical analysis has been attempted.

  Calculate Correlations

Database:
Return:
Samples:

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:
Samples:



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:
Samples:

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 B6D2F2
2 D2B6F2
3 C57BL/6J
4 DBA/2J
5 BDF2003
6 BDF2004
7 BDF2006
8 BDF2007
9 BDF2008
10 BDF2009
11 BDF2010
12 BDF2011
13 BDF2012
14 BDF2013
15 BDF2014
16 BDF2015
17 BDF2016
18 BDF2017
19 BDF2018
20 BDF2020
21 BDF2021
22 BDF2022
23 BDF2023
24 BDF2024
25 BDF2025
26 BDF2026
27 BDF2028
28 BDF2029
29 BDF2031
30 BDF2032
31 BDF2034
32 BDF2035
33 BDF2036
34 BDF2037
35 BDF2039
36 BDF2041
37 BDF2042
38 BDF2043
39 BDF2044
40 BDF2045
41 BDF2047
42 BDF2048
43 BDF2049
44 BDF2050
45 BDF2051
46 BDF2053
47 BDF2054
48 BDF2055
49 BDF2056
50 BDF2057
51 BDF2058
52 BDF2059
53 BDF2060
54 BDF2062
55 BDF2063
56 BDF2064
57 BDF2066
58 BDF2067
59 BDF2068
60 BDF2070
61 BDF2071
62 BDF2074
63 BDF2076
64 BDF2078
65 BDF2081
66 BDF2083
67 BDF2085
68 BDF2087
69 BDF2088
70 BDF2090
71 BDF2091
72 BDF2092
73 BDF2095
74 BDF2097
75 BDF2098
76 BDF2099
77 BDF2100
78 BDF2101
79 BDF2102
80 BDF2103
81 BDF2104
82 BDF2105
83 BDF2106
84 BDF2107
85 BDF2109
86 BDF2111
87 BDF2112
88 BDF2113
89 BDF2114
90 BDF2116
91 BDF2117
92 BDF2120
93 BDF2122
94 BDF2123
95 BDF2124
96 BDF2125
97 BDF2126
98 BDF2127
99 BDF2128
100 BDF2129
101 BDF2130
102 BDF2134
103 BDF2137
104 BDF2138
105 BDF2140
106 BDF2142
107 BDF2143
108 BDF2144
109 BDF2147
110 BDF2149
111 BDF2150
112 BDF2151
113 BDF2155
114 BDF2156
115 BDF2157
 
IndexSampleValue
1 B6D2F2
2 D2B6F2
3 C57BL/6J
4 DBA/2J
5 BDF2157

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