Line |
Haplotype |
Population |
Frequency (%) |
Sample Size |
Distribution¹ |
201 | A*03:02-B*51:01-C*14:02-DRB1*04:03-DQB1*03:02 | | India South UCBB | 0.0084 | | 11,446 |
|
202 | A*02:01-B*51:01-C*16:02-DRB1*04:03-DQB1*03:02 | | India North UCBB | 0.0083 | | 5,849 |
|
203 | A*24:02-B*51:06-C*14:02-DRB1*04:03-DQB1*03:02 | | India South UCBB | 0.0075 | | 11,446 |
|
204 | A*33:03-B*51:01-C*12:02-DRB1*04:03-DQB1*03:02 | | India Tamil Nadu | 0.0073 | | 2,492 |
|
205 | A*02:01-B*51:01-C*07:02-DRB1*04:03-DQB1*03:02 | | India West UCBB | 0.0064 | | 5,829 |
|
206 | A*02:01:01-B*51:01:01-C*16:02:01-DRB1*04:03:01-DQB1*03:02:01 | | Poland BMR | 0.0064 | | 23,595 |
|
207 | A*32:01-B*51:01-C*04:01-DRB1*04:03-DQB1*03:02 | | India South UCBB | 0.0050 | | 11,446 |
|
208 | A*11:01-B*51:01-C*12:03-DRB1*04:03-DQB1*03:02 | | India South UCBB | 0.0047 | | 11,446 |
|
209 | A*24:02-B*51:06-C*12:04-DRB1*04:03-DQB1*03:02 | | India South UCBB | 0.0045 | | 11,446 |
|
210 | A*31:01-B*51:01-C*16:02-DRB1*04:03-DQB1*03:02 | | India South UCBB | 0.0045 | | 11,446 |
|
211 | A*02:01-B*51:01-C*07:29-DRB1*04:03-DQB1*03:02 | | India South UCBB | 0.0044 | | 11,446 |
|
212 | A*02:03-B*51:06-C*14:02-DRB1*04:03-DQB1*03:02 | | India South UCBB | 0.0044 | | 11,446 |
|
213 | A*02:06-B*51:01-C*03:04-DRB1*04:03-DQB1*03:02 | | India South UCBB | 0.0044 | | 11,446 |
|
214 | A*02:06-B*51:01-C*15:02-DRB1*04:03-DQB1*03:02 | | India South UCBB | 0.0044 | | 11,446 |
|
215 | A*02:09-B*51:01-C*16:02-DRB1*04:03-DQB1*03:02 | | India South UCBB | 0.0044 | | 11,446 |
|
216 | A*11:01-B*51:06-C*04:10-DRB1*04:03-DQB1*03:02 | | India South UCBB | 0.0044 | | 11,446 |
|
217 | A*11:01-B*51:19-C*14:02-DRB1*04:03-DQB1*03:02 | | India South UCBB | 0.0044 | | 11,446 |
|
218 | A*11:03-B*51:01-C*16:02-DRB1*04:03-DQB1*03:02 | | India South UCBB | 0.0044 | | 11,446 |
|
219 | A*23:01-B*51:06-C*12:04-DRB1*04:03-DQB1*03:02 | | India South UCBB | 0.0044 | | 11,446 |
|
220 | A*24:02-B*51:01-C*16:19-DRB1*04:03-DQB1*03:02 | | India South UCBB | 0.0044 | | 11,446 |
|
221 | A*24:02-B*51:06-C*15:04-DRB1*04:03-DQB1*03:02 | | India South UCBB | 0.0044 | | 11,446 |
|
222 | A*24:11N-B*51:01-C*14:02-DRB1*04:03-DQB1*03:02 | | India South UCBB | 0.0044 | | 11,446 |
|
223 | A*29:01-B*51:06-C*14:02-DRB1*04:03-DQB1*03:02 | | India South UCBB | 0.0044 | | 11,446 |
|
224 | A*32:01-B*51:01-C*07:02-DRB1*04:03-DQB1*03:02 | | India South UCBB | 0.0044 | | 11,446 |
|
225 | A*30:01-B*51:01-C*07:02-DRB1*04:03-DQB1*03:02 | | India South UCBB | 0.0043 | | 11,446 |
|
226 | A*31:01-B*51:01-C*12:03-DRB1*04:03-DQB1*03:02 | | India South UCBB | 0.0041 | | 11,446 |
|
227 | A*02:01:01-B*51:01:01-C*01:02:01-DRB1*04:03:01-DQB1*03:02:01 | | Poland BMR | 0.0038 | | 23,595 |
|
228 | A*24:02-B*51:01-C*04:01-DRB1*04:03-DQB1*03:02 | | India South UCBB | 0.0038 | | 11,446 |
|
229 | A*33:01-B*51:01-C*01:02-DRB1*04:03-DQB1*03:02 | | India Tamil Nadu | 0.0036 | | 2,492 |
|
230 | A*33:03-B*51:01-C*01:02-DRB1*04:03-DQB1*03:02 | | India Tamil Nadu | 0.0036 | | 2,492 |
|
231 | A*33:71-B*51:01-C*01:02-DRB1*04:03-DQB1*03:02 | | India Tamil Nadu | 0.0036 | | 2,492 |
|
232 | A*24:02:01-B*51:01:01-C*15:02:01-DRB1*04:03:01-DQB1*03:02:01 | | Poland BMR | 0.0030 | | 23,595 |
|
233 | A*26:01-B*51:01-C*07:02-DRB1*04:03-DQB1*03:02 | | India South UCBB | 0.0023 | | 11,446 |
|
234 | A*24:02:01-B*51:01:01-C*12:03:01-DRB1*04:03:01-DQB1*03:02:01 | | Poland BMR | 0.0021 | | 23,595 |
|
235 | A*02:01:01-B*51:01:01-C*07:01:01-DRB1*04:03:01-DQB1*03:02:01 | | Poland BMR | 0.0021 | | 23,595 |
|
236 | A*02:01:01-B*51:01:01-C*14:02:01-DRB1*04:03:01-DQB1*03:02:01 | | Poland BMR | 0.0007022 | | 23,595 |
|
237 | A*11:01-B*51:01-C*12:02-DRB1*04:03-DQB1*03:02 | | India Tamil Nadu | 0.0000090 | | 2,492 |
|
* Haplotype Frequencies: Total number of copies of the haplotype in the population sample (Haplotypes / 2n) shown in percentages (%).
: This field has been expanded to two decimals to better represent frequencies of large datasets (e.g. where sample size > 1000 individuals)
¹ Distribution - Shows the geographic distribution in overlaid maps of the complete haplotype (left icon) or the input alleles if low level resolution was entered (right icon).