Line |
Haplotype |
Population |
Frequency (%) |
Sample Size |
Distribution¹ |
201 | A*32-B*51-C*15-DRB1*13-DQB1*06-DPB1*02 | | Norway ethnic Norwegians | 0.0100 | | 4,510 |
|
202 | A*26:01-B*51:01-C*15:02-DRB1*13:01-DQB1*06:03 | | India North UCBB | 0.0094 | | 5,849 |
|
203 | A*03:01-B*51:01-C*15:02-DRB1*13:02-DQB1*06:09 | | India South UCBB | 0.0088 | | 11,446 |
|
204 | A*02:06-B*51:01-C*15:02-DRB1*13:02-DQB1*06:09 | | India West UCBB | 0.0086 | | 5,829 |
|
205 | A*26:09-B*51:01-C*15:04-DRB1*13:01-DQB1*06:03 | | India West UCBB | 0.0086 | | 5,829 |
|
206 | A*02:01-B*51:01-C*15:13-DRB1*13:01-DQB1*06:03 | | India North UCBB | 0.0085 | | 5,849 |
|
207 | A*02:06-B*51:01-C*15:02-DRB1*13:01-DQB1*06:03 | | India North UCBB | 0.0085 | | 5,849 |
|
208 | A*23:01-B*51:01-C*15:02-DRB1*13:01-DQB1*06:03 | | India North UCBB | 0.0085 | | 5,849 |
|
209 | A*68:01:01-B*51:01:01-C*15:02:01-DRB1*13:01:01-DQB1*06:03:01 | | Poland BMR | 0.0084 | | 23,595 |
|
210 | A*68:01-B*51:01-C*15:04-DRB1*13:01-DQB1*06:03 | | India South UCBB | 0.0084 | | 11,446 |
|
211 | A*24:02:01-B*51:01:01-C*15:02:01-DRB1*13:01:01-DQB1*06:03:01 | | Poland BMR | 0.0076 | | 23,595 |
|
212 | A*11:01:01-B*51:01:01-C*15:02:01-DRB1*13:01:01-DQB1*06:03:01 | | Poland BMR | 0.0073 | | 23,595 |
|
213 | A*31:01-B*51:01-C*15:04-DRB1*13:02 | | Poland DKMS | 0.0072 | | 20,653 |
|
214 | A*68:01-B*51:01-C*15:02-DRB1*13:02-DQB1*06:09 | | India North UCBB | 0.0070 | | 5,849 |
|
215 | A*01:01-B*51:01-C*15:02-DRB1*13:01 | | Poland DKMS | 0.0068 | | 20,653 |
|
216 | A*33:03-B*51:01-C*15:02-DRB1*13:01-DQB1*06:03 | | India South UCBB | 0.0067 | | 11,446 |
|
217 | A*32:01-B*51:06-C*15:02-DRB1*13:01-DQB1*06:03 | | India South UCBB | 0.0065 | | 11,446 |
|
218 | A*31:01-B*51:02-C*15:02-DRB1*13:12 | | Hong Kong Chinese BMDR | 0.0061 | | 7,595 |
|
219 | A*11:01-B*51:01-C*15:02-DRB1*13:01 | | Poland DKMS | 0.0060 | | 20,653 |
|
220 | A*30:01:01-B*51:01:01-C*15:02:01-DRB1*13:01:01-DPB1*05:01:01 | | Hong Kong Chinese HKBMDR HLA 11 loci | 0.0054 | | 5,266 |
|
221 | A*03:01-B*51:01-C*15:02-DRB1*13:01 | | Poland DKMS | 0.0053 | | 20,653 |
|
222 | A*03:01:01-B*51:01:01-C*15:02:01-DRB1*13:02:01-DQB1*06:04:01 | | Poland BMR | 0.0052 | | 23,595 |
|
223 | A*02:01-B*51:01-C*15:02-DRB1*13:02 | | Japan pop 16 | 0.0050 | | 18,604 |
|
224 | A*11:01-B*51:01-C*15:02-DRB1*13:01 | | Japan pop 16 | 0.0050 | | 18,604 |
|
225 | A*29:01-B*51:01-C*15:05-DRB1*13:05 | | Poland DKMS | 0.0048 | | 20,653 |
|
226 | A*11:01-B*51:01-C*15:04-DRB1*13:01-DQB1*06:03 | | India South UCBB | 0.0047 | | 11,446 |
|
227 | A*01:01-B*51:01-C*15:04-DRB1*13:01-DQB1*06:03 | | India South UCBB | 0.0044 | | 11,446 |
|
228 | A*02:11-B*51:01-C*15:02-DRB1*13:02-DQB1*06:04 | | India South UCBB | 0.0044 | | 11,446 |
|
229 | A*23:01-B*51:01-C*15:02-DRB1*13:01-DQB1*06:41 | | India South UCBB | 0.0044 | | 11,446 |
|
230 | A*24:02-B*51:06-C*15:02-DRB1*13:01-DQB1*05:01 | | India South UCBB | 0.0044 | | 11,446 |
|
231 | A*26:01-B*51:01-C*15:02-DRB1*13:01-DQB1*06:03 | | India South UCBB | 0.0044 | | 11,446 |
|
232 | A*31:01-B*51:01-C*15:02-DRB1*13:02-DQB1*06:04 | | India South UCBB | 0.0044 | | 11,446 |
|
233 | A*68:01-B*51:01-C*15:02-DRB1*13:02-DQB1*06:09 | | India South UCBB | 0.0044 | | 11,446 |
|
234 | A*68:01-B*51:01-C*15:07-DRB1*13:01-DQB1*06:03 | | India South UCBB | 0.0044 | | 11,446 |
|
235 | A*68:01-B*51:01-C*15:07-DRB1*13:02-DQB1*06:09 | | India South UCBB | 0.0044 | | 11,446 |
|
236 | A*03:01:01-B*51:01:01-C*15:02:01-DRB1*13:01:01-DQB1*03:01:01 | | Poland BMR | 0.0043 | | 23,595 |
|
237 | A*11:01:01-B*51:01:01-C*15:02:01-DRB1*13:03:01-DQB1*03:01:01 | | Poland BMR | 0.0039 | | 23,595 |
|
238 | A*02:01-B*51:06-C*15:02-DRB1*13:01-DQB1*06:03 | | India South UCBB | 0.0038 | | 11,446 |
|
239 | A*03:01-B*51:01-C*15:02-DRB1*13:02-DQB1*06:04 | | India South UCBB | 0.0038 | | 11,446 |
|
240 | A*30:01:01-B*51:01:01-C*15:02:01-DRB1*13:02:01-DQB1*06:04:01 | | Poland BMR | 0.0033 | | 23,595 |
|
241 | A*03:01:01-B*51:01:01-C*15:02:01-DRB1*13:01:01-DQB1*06:03:01 | | Poland BMR | 0.0031 | | 23,595 |
|
242 | A*25:01-B*51:01-C*15:02-DRB1*13:01 | | Poland DKMS | 0.0028 | | 20,653 |
|
243 | A*02:01-B*51:01-C*15:02-DRB1*13:05 | | Poland DKMS | 0.0024 | | 20,653 |
|
244 | A*02:01-B*51:08-C*15:02-DRB1*13:05 | | Poland DKMS | 0.0024 | | 20,653 |
|
245 | A*03:01-B*51:01-C*15:02-DRB1*13:03 | | Poland DKMS | 0.0024 | | 20,653 |
|
246 | A*68:01:02-B*51:01:01-C*15:02:01-DRB1*13:02:01-DQB1*06:04:01 | | Poland BMR | 0.0023 | | 23,595 |
|
247 | A*02:01:01-B*51:01:01-C*15:06:01-DRB1*13:02:01-DQB1*06:09:01 | | Poland BMR | 0.0021 | | 23,595 |
|
248 | A*02:06:01-B*51:01:01-C*15:02:01-DRB1*13:01:01-DQB1*06:03:01 | | Poland BMR | 0.0021 | | 23,595 |
|
249 | A*02:17:02-B*51:01:01-C*15:02:01-DRB1*13:01:01-DQB1*06:03:01 | | Poland BMR | 0.0021 | | 23,595 |
|
250 | A*03:01:01-B*51:01:01-C*15:02:01-DRB1*13:05:01-DQB1*03:01:01 | | Poland BMR | 0.0021 | | 23,595 |
|
251 | A*03:01:01-B*51:193-C*15:02:01-DRB1*13:02:01-DQB1*06:04:01 | | Poland BMR | 0.0021 | | 23,595 |
|
252 | A*03:02:01-B*51:01:01-C*15:02:01-DRB1*13:02:01-DQB1*06:04:01 | | Poland BMR | 0.0021 | | 23,595 |
|
253 | A*24:02:01-B*51:01:01-C*15:02:01-DRB1*13:02:01-DQB1*06:09:01 | | Poland BMR | 0.0021 | | 23,595 |
|
254 | A*24:02:01-B*51:08:01-C*15:02:01-DRB1*13:05:01-DQB1*03:01:01 | | Poland BMR | 0.0021 | | 23,595 |
|
255 | A*26:01:01-B*51:01:01-C*15:02:01-DRB1*13:01:01-DQB1*03:03:02 | | Poland BMR | 0.0021 | | 23,595 |
|
256 | A*31:01:02-B*51:08:01-C*15:02:01-DRB1*13:03:01-DQB1*03:01:01 | | Poland BMR | 0.0021 | | 23,595 |
|
257 | A*68:02:01-B*51:01:01-C*15:02:01-DRB1*13:01:01-DQB1*06:03:01 | | Poland BMR | 0.0021 | | 23,595 |
|
258 | A*02:06-B*51:01-C*15:02-DRB1*13:01-DQB1*06:03 | | India South UCBB | 0.0021 | | 11,446 |
|
259 | A*25:01-B*51:01-C*15:02-DRB1*13:03 | | Poland DKMS | 0.0021 | | 20,653 |
|
260 | A*26:01-B*51:01-C*15:02-DRB1*13:02 | | Poland DKMS | 0.0021 | | 20,653 |
|
261 | A*26:01:01-B*51:01:01-C*15:02:01-DRB1*13:03:01-DQB1*03:01:01 | | Poland BMR | 0.0021 | | 23,595 |
|
* 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).