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  • Phase output blocks

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Haplotype counts inferred by Phase*.
Gene = IL23A, Minimum allele freq. in ANY population= 0.000, 2 SNP, 876 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
14003-1165
25870702

Haplotype Frequency Sort Order

Haplotype All Controls Cases
GG   1625 92.8% 850 92.8% 775 92.7%
GA   117 6.7% 62 6.8% 55 6.6%
AG   10 0.6% 04 0.4% 06 0.7%
Totals   1752   916   836  

Haplotype Alphabetic Sort Order

AG   10 0.6% 04 0.4% 06 0.7%
GA   117 6.7% 62 6.8% 55 6.6%
GG   1625 92.8% 850 92.8% 775 92.7%
Totals   1752   916   836  

Minimal SNP (loci shown in red) 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

Minimal sets of haplotype tagging SNP
for IL23A in Cases

Note that the following SNP are binary equivalent. Any one of them may be freely substituted
for any of the others without any loss of ability to distinguish haplotypes
SNP 1 may be substituted by any of 2

Note: Blue = same allele as first row of the corresponding SNP column; Red = variant allele
4 5  
0 8 #
0 7  
3 0  
G A  (55)
A G  (6)

Minimal sets of haplotype tagging SNP
for IL23A in Controls

Note that the following SNP are binary equivalent. Any one of them may be freely substituted
for any of the others without any loss of ability to distinguish haplotypes
SNP 1 may be substituted by any of 2

Note: Blue = same allele as first row of the corresponding SNP column; Red = variant allele
4 5  
0 8 #
0 7  
3 0  
G A  (62)
A G  (4)
*
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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