IMPC Release Notes

IMPC
  • Release: 6.2
  • Published: 16 November 2017
Statistical Package
  • PhenStat
  • Version: 2.7.1
Genome Assembly
  • Mus musculus
  • Version: GRCm38
Summary
  • Number of phenotyped genes: 4,429
  • Number of phenotyped mutant lines: 4,777
  • Number of phenotype calls: 44,332

Data access

Highlights

Data release 6.2

Data release 6.2 includes:

Data Reports

Lines and Specimens

Phenotyping Center Mutant Lines Baseline Mice Mutant Mice
JAX 920 5,742 24,912
TCP 442 5,883 19,575
HMGU 227 2,264 4,156
KMPC 24 408 510
MARC 235 1,880 3,776
MRC Harwell 449 4,341 11,359
RBRC 71 1,674 1,509
ICS 170 1,861 2,682
WTSI 1,057 3,386 16,829
BCM 403 1,207 12,839
UC Davis 779 2,659 18,163

Experimental Data and Quality Checks

Data Type QC passed QC failed issues
categorical 10,039,552 3,389 * 12,180 *
unidimensional 7,312,867 24,217 * 147,937 *
time series 10,845,338 2,393 * 0
text 130,410 11,431 * 34,008 *
image record 300,500 0 0

* Excluded from statistical analysis.

Procedures

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Allele Types

Mutation Name Mutant Lines
Targeted Mutation a 781
Targeted Mutation 1 1097
Targeted Mutation b 2214
Targeted Mutation 2 5
Targeted Mutation c 2
Targeted Mutation d 3
Targeted Mutation e 59

Mouse knockout programs: KOMP,IMPC,EUCOMM,NCOM,mirKO,IST12471H5

Distribution of Phenotype Annotations

Status

Overall

By Center

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More charts and status information are available from iMits.

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Phenotype Associations Overview

We provide a 'phenome' overview of statistically significant calls. By following the links below, you'll access the details of the phenotype calls for each center.

Phenotyping Center Significant MP Calls Pipeline
JAXBrowseJAX_001
TCPBrowseTCP_001
HMGUBrowseIMPC_001
HMGUBrowseHMGU_001
KMPCBrowseIMPC_001
MARCBrowseIMPC_001
MRC HarwellBrowseHRWL_001
RBRCBrowseIMPC_001
ICSBrowseICS_001
WTSIBrowseMGP_001
BCMBrowseIMPC_001
BCMBrowseBCM_001
UC DavisBrowseUCD_001

Statistical Analysis

Statistical Methods

Data Statistical Method
categorical Fisher's exact test
unidimensional Wilcoxon rank sum test with continuity correction
unidimensional Mixed Model framework, generalized least squares, equation withoutWeight
unidimensional Mixed Model framework, linear mixed-effects model, equation withoutWeight

P-value distributions

Trends




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