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Haplotype counts inferred by Phase*.
Gene = BPI, Minimum allele freq. in ANY population= 0.000, 8 SNP, 1115 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
12491-63
2261662
32738184
462723659
51701614234
62335620483
72966026704
83604533003

Haplotype Frequency Sort Order

Haplotype All Controls Cases
GGCCATAG   316 14.2% 182 15.3% 134 12.9%
CCCCGCGA   202 9.1% 92 7.7% 110 10.6%
CCGCGCGA   193 8.7% 111 9.3% 82 7.9%
GGCCACGG   141 6.3% 76 6.4% 65 6.3%
CCCCATAG   138 6.2% 74 6.2% 64 6.2%
CCCCGCGG   120 5.4% 58 4.9% 62 6.0%
GGCCACAG   102 4.6% 51 4.3% 51 4.9%
CCGCGCAG   62 2.8% 22 1.8% 40 3.9%
CCCCGCAG   62 2.8% 39 3.3% 23 2.2%
GGCCGCGG   58 2.6% 25 2.1% 33 3.2%
GGCCGCGA   54 2.4% 25 2.1% 29 2.8%
GGCCATGA   54 2.4% 32 2.7% 22 2.1%
GGCCATGG   53 2.4% 28 2.3% 25 2.4%
GGCCACGA   45 2.0% 16 1.3% 29 2.8%
CCGCGCAA   31 1.4% 24 2.0% 07 0.7%
CCCCGTAA   30 1.3% 11 0.9% 19 1.8%
CCCCACGG   30 1.3% 25 2.1% 05 0.5%
CCGCGCGG   25 1.1% 14 1.2% 11 1.1%
GGCCATAA   23 1.0% 07 0.6% 16 1.5%
CCCTGCAG   23 1.0% 12 1.0% 11 1.1%
GGCTGCGA   22 1.0% 13 1.1% 09 0.9%
CCCTGCGA   21 0.9% 15 1.3% 06 0.6%
CGCCATAA   20 0.9% 13 1.1% 07 0.7%
GCCCATAG   18 0.8% 10 0.8% 08 0.8%
CCCCGTAG   18 0.8% 17 1.4% 01 0.1%
CCGCGTAA   17 0.8% 06 0.5% 11 1.1%
GGCCGCAG   15 0.7% 08 0.7% 07 0.7%
GCCCGCGG   15 0.7% 05 0.4% 10 1.0%
CGCCATAG   15 0.7% 05 0.4% 10 1.0%
GGCCGTAG   14 0.6% 07 0.6% 07 0.7%
GCGCGCGA   13 0.6% 02 0.2% 11 1.1%
CCCCGCAA   13 0.6% 06 0.5% 07 0.7%
CCCCATGA   13 0.6% 09 0.8% 04 0.4%
GGCTGCGG   12 0.5% 12 1.0% 00 0.0%
GGCCACAA   12 0.5% 12 1.0% 00 0.0%
GCCCGCAG   12 0.5% 06 0.5% 06 0.6%
CCGTGCGA   12 0.5% 00 0.0% 12 1.2%
GCCCGCAA   11 0.5% 07 0.6% 04 0.4%
CGCCACAA   11 0.5% 10 0.8% 01 0.1%
GCGCGCGG   10 0.4% 08 0.7% 02 0.2%
CGCCATGG   10 0.4% 06 0.5% 04 0.4%
CCCTACGG   10 0.4% 10 0.8% 00 0.0%
CGCCGCGA   09 0.4% 06 0.5% 03 0.3%
CCGCATAG   09 0.4% 07 0.6% 02 0.2%
CCCCACAG   09 0.4% 02 0.2% 07 0.7%
GGCTACGG   08 0.4% 08 0.7% 00 0.0%
GCCCATAA   08 0.4% 08 0.7% 00 0.0%
CCCCATAA   08 0.4% 00 0.0% 08 0.8%
GGCTGCAG   05 0.2% 05 0.4% 00 0.0%
GCCCGCGA   05 0.2% 02 0.2% 03 0.3%
CGCCGTAG   05 0.2% 05 0.4% 00 0.0%
CGCCACGG   05 0.2% 05 0.4% 00 0.0%
CGCCACAG   05 0.2% 00 0.0% 05 0.5%
CCGCGTAG   05 0.2% 00 0.0% 05 0.5%
CCCTGCGG   05 0.2% 05 0.4% 00 0.0%
CGCTGCGG   04 0.2% 00 0.0% 04 0.4%
CGCCGCAG   04 0.2% 00 0.0% 04 0.4%
CCCCGTGG   04 0.2% 00 0.0% 04 0.4%
CCCCATGG   04 0.2% 04 0.3% 00 0.0%
GGGCGCAG   03 0.1% 03 0.3% 00 0.0%
GGCTATAG   03 0.1% 02 0.2% 01 0.1%
GGCCGTGG   03 0.1% 02 0.2% 01 0.1%
GCGCATAG   03 0.1% 00 0.0% 03 0.3%
GCCTGCGA   03 0.1% 02 0.2% 01 0.1%
CGCCACGA   03 0.1% 01 0.1% 02 0.2%
CCGCATGG   03 0.1% 00 0.0% 03 0.3%
CCCTACGA   03 0.1% 00 0.0% 03 0.3%
GGGCACGG   02 0.1% 02 0.2% 00 0.0%
GGCTACAG   02 0.1% 00 0.0% 02 0.2%
GGCCGCAA   02 0.1% 01 0.1% 01 0.1%
GCCCATGG   02 0.1% 00 0.0% 02 0.2%
CGCCATGA   02 0.1% 01 0.1% 01 0.1%
CCGTGCGG   02 0.1% 02 0.2% 00 0.0%
CCGCACAA   02 0.1% 02 0.2% 00 0.0%
GGGCGCGA   01 0.0% 00 0.0% 01 0.1%
GGCTATAA   01 0.0% 00 0.0% 01 0.1%
GGCCGTGA   01 0.0% 00 0.0% 01 0.1%
GCCTGCGG   01 0.0% 00 0.0% 01 0.1%
GCCCGTGG   01 0.0% 00 0.0% 01 0.1%
GCCCGTAG   01 0.0% 00 0.0% 01 0.1%
GCCCGTAA   01 0.0% 00 0.0% 01 0.1%
GCCCATGA   01 0.0% 01 0.1% 00 0.0%
GCCCACAG   01 0.0% 01 0.1% 00 0.0%
CGCTGCAA   01 0.0% 01 0.1% 00 0.0%
CGCCGTGG   01 0.0% 01 0.1% 00 0.0%
CCGCGTGA   01 0.0% 01 0.1% 00 0.0%
CCCTGCAA   01 0.0% 00 0.0% 01 0.1%
CCCCACAA   01 0.0% 01 0.1% 00 0.0%
Totals   2230   1192   1038  

Haplotype Alphabetic Sort Order

CCCCACAA   01 0.0% 01 0.1% 00 0.0%
CCCCACAG   09 0.4% 02 0.2% 07 0.7%
CCCCACGG   30 1.3% 25 2.1% 05 0.5%
CCCCATAA   08 0.4% 00 0.0% 08 0.8%
CCCCATAG   138 6.2% 74 6.2% 64 6.2%
CCCCATGA   13 0.6% 09 0.8% 04 0.4%
CCCCATGG   04 0.2% 04 0.3% 00 0.0%
CCCCGCAA   13 0.6% 06 0.5% 07 0.7%
CCCCGCAG   62 2.8% 39 3.3% 23 2.2%
CCCCGCGA   202 9.1% 92 7.7% 110 10.6%
CCCCGCGG   120 5.4% 58 4.9% 62 6.0%
CCCCGTAA   30 1.3% 11 0.9% 19 1.8%
CCCCGTAG   18 0.8% 17 1.4% 01 0.1%
CCCCGTGG   04 0.2% 00 0.0% 04 0.4%
CCCTACGA   03 0.1% 00 0.0% 03 0.3%
CCCTACGG   10 0.4% 10 0.8% 00 0.0%
CCCTGCAA   01 0.0% 00 0.0% 01 0.1%
CCCTGCAG   23 1.0% 12 1.0% 11 1.1%
CCCTGCGA   21 0.9% 15 1.3% 06 0.6%
CCCTGCGG   05 0.2% 05 0.4% 00 0.0%
CCGCACAA   02 0.1% 02 0.2% 00 0.0%
CCGCATAG   09 0.4% 07 0.6% 02 0.2%
CCGCATGG   03 0.1% 00 0.0% 03 0.3%
CCGCGCAA   31 1.4% 24 2.0% 07 0.7%
CCGCGCAG   62 2.8% 22 1.8% 40 3.9%
CCGCGCGA   193 8.7% 111 9.3% 82 7.9%
CCGCGCGG   25 1.1% 14 1.2% 11 1.1%
CCGCGTAA   17 0.8% 06 0.5% 11 1.1%
CCGCGTAG   05 0.2% 00 0.0% 05 0.5%
CCGCGTGA   01 0.0% 01 0.1% 00 0.0%
CCGTGCGA   12 0.5% 00 0.0% 12 1.2%
CCGTGCGG   02 0.1% 02 0.2% 00 0.0%
CGCCACAA   11 0.5% 10 0.8% 01 0.1%
CGCCACAG   05 0.2% 00 0.0% 05 0.5%
CGCCACGA   03 0.1% 01 0.1% 02 0.2%
CGCCACGG   05 0.2% 05 0.4% 00 0.0%
CGCCATAA   20 0.9% 13 1.1% 07 0.7%
CGCCATAG   15 0.7% 05 0.4% 10 1.0%
CGCCATGA   02 0.1% 01 0.1% 01 0.1%
CGCCATGG   10 0.4% 06 0.5% 04 0.4%
CGCCGCAG   04 0.2% 00 0.0% 04 0.4%
CGCCGCGA   09 0.4% 06 0.5% 03 0.3%
CGCCGTAG   05 0.2% 05 0.4% 00 0.0%
CGCCGTGG   01 0.0% 01 0.1% 00 0.0%
CGCTGCAA   01 0.0% 01 0.1% 00 0.0%
CGCTGCGG   04 0.2% 00 0.0% 04 0.4%
GCCCACAG   01 0.0% 01 0.1% 00 0.0%
GCCCATAA   08 0.4% 08 0.7% 00 0.0%
GCCCATAG   18 0.8% 10 0.8% 08 0.8%
GCCCATGA   01 0.0% 01 0.1% 00 0.0%
GCCCATGG   02 0.1% 00 0.0% 02 0.2%
GCCCGCAA   11 0.5% 07 0.6% 04 0.4%
GCCCGCAG   12 0.5% 06 0.5% 06 0.6%
GCCCGCGA   05 0.2% 02 0.2% 03 0.3%
GCCCGCGG   15 0.7% 05 0.4% 10 1.0%
GCCCGTAA   01 0.0% 00 0.0% 01 0.1%
GCCCGTAG   01 0.0% 00 0.0% 01 0.1%
GCCCGTGG   01 0.0% 00 0.0% 01 0.1%
GCCTGCGA   03 0.1% 02 0.2% 01 0.1%
GCCTGCGG   01 0.0% 00 0.0% 01 0.1%
GCGCATAG   03 0.1% 00 0.0% 03 0.3%
GCGCGCGA   13 0.6% 02 0.2% 11 1.1%
GCGCGCGG   10 0.4% 08 0.7% 02 0.2%
GGCCACAA   12 0.5% 12 1.0% 00 0.0%
GGCCACAG   102 4.6% 51 4.3% 51 4.9%
GGCCACGA   45 2.0% 16 1.3% 29 2.8%
GGCCACGG   141 6.3% 76 6.4% 65 6.3%
GGCCATAA   23 1.0% 07 0.6% 16 1.5%
GGCCATAG   316 14.2% 182 15.3% 134 12.9%
GGCCATGA   54 2.4% 32 2.7% 22 2.1%
GGCCATGG   53 2.4% 28 2.3% 25 2.4%
GGCCGCAA   02 0.1% 01 0.1% 01 0.1%
GGCCGCAG   15 0.7% 08 0.7% 07 0.7%
GGCCGCGA   54 2.4% 25 2.1% 29 2.8%
GGCCGCGG   58 2.6% 25 2.1% 33 3.2%
GGCCGTAG   14 0.6% 07 0.6% 07 0.7%
GGCCGTGA   01 0.0% 00 0.0% 01 0.1%
GGCCGTGG   03 0.1% 02 0.2% 01 0.1%
GGCTACAG   02 0.1% 00 0.0% 02 0.2%
GGCTACGG   08 0.4% 08 0.7% 00 0.0%
GGCTATAA   01 0.0% 00 0.0% 01 0.1%
GGCTATAG   03 0.1% 02 0.2% 01 0.1%
GGCTGCAG   05 0.2% 05 0.4% 00 0.0%
GGCTGCGA   22 1.0% 13 1.1% 09 0.9%
GGCTGCGG   12 0.5% 12 1.0% 00 0.0%
GGGCACGG   02 0.1% 02 0.2% 00 0.0%
GGGCGCAG   03 0.1% 03 0.3% 00 0.0%
GGGCGCGA   01 0.0% 00 0.0% 01 0.1%
Totals   2230   1192   1038  

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 BPI in Cases

Note: Blue = same allele as first row of the corresponding SNP column; Red = variant allele
- 0 0 0 1 2 2 3  
0 0 0 3 4 0 6 3  
0 0 1 6 2 4 7 0 #
6 6 8 5 3 8 0 0  
3 2 4 9 4 3 4 3  
G G C C A T A G  (134)
C C C C G C G A  (110)
C C G C G C G A  (82)
G G C C A C G G  (65)
C C C C A T A G  (64)
C C C C G C G G  (62)
G G C C A C A G  (51)
C C G C G C A G  (40)
G G C C G C G G  (33)
G G C C G C G A  (29)
G G C C A C G A  (29)
G G C C A T G G  (25)
C C C C G C A G  (23)
G G C C A T G A  (22)
C C C C G T A A  (19)
G G C C A T A A  (16)
C C G T G C G A  (12)
G C G C G C G A  (11)
C C G C G T A A  (11)
C C G C G C G G  (11)
C C C T G C A G  (11)
G C C C G C G G  (10)
C G C C A T A G  (10)
G G C T G C G A  (9)
G C C C A T A G  (8)
C C C C A T A A  (8)
G G C C G T A G  (7)
G G C C G C A G  (7)
C G C C A T A A  (7)
C C G C G C A A  (7)
C C C C G C A A  (7)
C C C C A C A G  (7)
G C C C G C A G  (6)
C C C T G C G A  (6)
C G C C A C A G  (5)
C C G C G T A G  (5)
C C C C A C G G  (5)
G C C C G C A A  (4)
C G C T G C G G  (4)
C G C C G C A G  (4)
C G C C A T G G  (4)
C C C C G T G G  (4)
C C C C A T G A  (4)
G C G C A T A G  (3)
G C C C G C G A  (3)
C G C C G C G A  (3)
C C G C A T G G  (3)
C C C T A C G A  (3)
G G C T A C A G  (2)
G C G C G C G G  (2)
G C C C A T G G  (2)
C G C C A C G A  (2)
C C G C A T A G  (2)

Minimal sets of haplotype tagging SNP
for BPI in Controls

Note: Blue = same allele as first row of the corresponding SNP column; Red = variant allele
- 0 0 0 1 2 2 3  
0 0 0 3 4 0 6 3  
0 0 1 6 2 4 7 0 #
6 6 8 5 3 8 0 0  
3 2 4 9 4 3 4 3  
G G C C A T A G  (182)
C C G C G C G A  (111)
C C C C G C G A  (92)
G G C C A C G G  (76)
C C C C A T A G  (74)
C C C C G C G G  (58)
G G C C A C A G  (51)
C C C C G C A G  (39)
G G C C A T G A  (32)
G G C C A T G G  (28)
G G C C G C G G  (25)
G G C C G C G A  (25)
C C C C A C G G  (25)
C C G C G C A A  (24)
C C G C G C A G  (22)
C C C C G T A G  (17)
G G C C A C G A  (16)
C C C T G C G A  (15)
C C G C G C G G  (14)
G G C T G C G A  (13)
C G C C A T A A  (13)
G G C T G C G G  (12)
G G C C A C A A  (12)
C C C T G C A G  (12)
C C C C G T A A  (11)
G C C C A T A G  (10)
C G C C A C A A  (10)
C C C T A C G G  (10)
C C C C A T G A  (9)
G G C T A C G G  (8)
G G C C G C A G  (8)
G C G C G C G G  (8)
G C C C A T A A  (8)
G G C C G T A G  (7)
G G C C A T A A  (7)
G C C C G C A A  (7)
C C G C A T A G  (7)
G C C C G C A G  (6)
C G C C G C G A  (6)
C G C C A T G G  (6)
C C G C G T A A  (6)
C C C C G C A A  (6)
G G C T G C A G  (5)
G C C C G C G G  (5)
C G C C G T A G  (5)
C G C C A T A G  (5)
C G C C A C G G  (5)
C C C T G C G G  (5)
C C C C A T G G  (4)
G G G C G C A G  (3)
G G G C A C G G  (2)
G G C T A T A G  (2)
G G C C G T G G  (2)
G C G C G C G A  (2)
G C C T G C G A  (2)
G C C C G C G A  (2)
C C G T G C G G  (2)
C C G C A C A A  (2)
C C C C A C A G  (2)
*
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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