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  • Phase output blocks

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Haplotype counts inferred by Phase*.
Gene = CARD15, Minimum allele freq. in ANY population= 0.000, 5 SNP, 239 Subjects
Note that the haplotypes shown below comprise alleles at
the following SNP locations in the order show. The first column
is the allele position in the haplotype. The SNP column is the
SNP position in the reference sequence (1=first base). The RelativeOffset column
is the SNP offset relative to the Gene transcription start codon.
#SNPRelativeOffset
11681-926
248272219
31607713469
43100028392
53118428576

Haplotype Frequency Sort Order

Haplotype All Controls Cases
GGCTT   182 38.1% 128 40.3% 54 33.8%
GGCAT   150 31.4% 97 30.5% 53 33.1%
ATTTT   103 21.5% 63 19.8% 40 25.0%
ATTTA   14 2.9% 11 3.5% 03 1.9%
GGTTT   06 1.3% 04 1.3% 02 1.2%
ATCAT   06 1.3% 02 0.6% 04 2.5%
ATCTT   05 1.0% 05 1.6% 00 0.0%
AGTAT   05 1.0% 03 0.9% 02 1.2%
AGCAT   02 0.4% 02 0.6% 00 0.0%
GTTTT   01 0.2% 00 0.0% 01 0.6%
GTCTT   01 0.2% 01 0.3% 00 0.0%
GTCAT   01 0.2% 01 0.3% 00 0.0%
AGTTT   01 0.2% 00 0.0% 01 0.6%
AGCTT   01 0.2% 01 0.3% 00 0.0%
Totals   478   318   160  

Haplotype Alphabetic Sort Order

AGCAT   02 0.4% 02 0.6% 00 0.0%
AGCTT   01 0.2% 01 0.3% 00 0.0%
AGTAT   05 1.0% 03 0.9% 02 1.2%
AGTTT   01 0.2% 00 0.0% 01 0.6%
ATCAT   06 1.3% 02 0.6% 04 2.5%
ATCTT   05 1.0% 05 1.6% 00 0.0%
ATTTA   14 2.9% 11 3.5% 03 1.9%
ATTTT   103 21.5% 63 19.8% 40 25.0%
GGCAT   150 31.4% 97 30.5% 53 33.1%
GGCTT   182 38.1% 128 40.3% 54 33.8%
GGTTT   06 1.3% 04 1.3% 02 1.2%
GTCAT   01 0.2% 01 0.3% 00 0.0%
GTCTT   01 0.2% 01 0.3% 00 0.0%
GTTTT   01 0.2% 00 0.0% 01 0.6%
Totals   478   318   160  

Minimal SNP (shown in red italics) needed to unambiguously distinguish haplotypes seen more than once, by population group
Please note that this an experimental resource which is still under test.Please email Ross Lazarus if you have comments or find any errors or anomalies

Group=Cases (blocklist=[[1, 6]], snplist=[[1, 2, 3, 4, 5]])
Haplotype heterozygosity: Observed = 0.7125000, Expected = 0.9295945
Effective # Haplotypes = 3.478, Minimum #SNP to distinguish haplotypes seen more than once: 5
-926:GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAGGAAGA
2219:GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTGGGGTG
13469:CCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTCCCCTTTTTTTTT
28392:TTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAATTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTAAAATTTTTAATT
28576:TTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTAAATTTTTT

Group=Controls (blocklist=[[1, 6]], snplist=[[1, 2, 3, 4, 5]])
Haplotype heterozygosity: Observed = 0.7038883, Expected = 0.8849286
Effective # Haplotypes = 3.377, Minimum #SNP to distinguish haplotypes seen more than once: 5
-926:GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAGGGGAAAAAAAGGA
2219:GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTGGGGGGGTTGGTTG
13469:CCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTCCCCCTTTTTTTCCCCCCC
28392:TTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAATTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTAAAAAAATAT
28576:TTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTAAAAAAAAAAATTTTTTTTTTTTTTTTTTT
*
The PHASE software package was used to generate the contents of this output file. Custom written Python scripts (available on request) were used to create the input files for PHASE (from the raw data files in SeattleSNPs "prettybase" format available elsewhere on this site) and also to process the PHASE output into more useful formats. PHASE uses MCMC methods and is available from http://www.stats.ox.ac.uk/mathgen/software.html . The results were obtained by running PHASE independently for each of the separate groups shown and amalgamating the results.
 
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