Line |
Haplotype |
Population |
Frequency (%) |
Sample Size |
Distribution¹ |
4,201 | A*33:03-B*51:06-C*02:02-DRB1*10:01-DQB1*05:01 | | India Tamil Nadu | 0.0007910 | | 2,492 |
|
4,202 | A*33:03-B*51:07-C*02:02-DRB1*10:01-DQB1*05:01 | | India Tamil Nadu | 0.0007910 | | 2,492 |
|
4,203 | A*33:03-B*51:08-C*02:02-DRB1*10:01-DQB1*05:01 | | India Tamil Nadu | 0.0007910 | | 2,492 |
|
4,204 | A*33:03-B*51:152-C*02:02-DRB1*10:01-DQB1*05:01 | | India Tamil Nadu | 0.0007910 | | 2,492 |
|
4,205 | A*33:03-B*51:19-C*02:02-DRB1*10:01-DQB1*05:01 | | India Tamil Nadu | 0.0007910 | | 2,492 |
|
4,206 | A*33:03-B*51:63-C*02:02-DRB1*10:01-DQB1*05:01 | | India Tamil Nadu | 0.0007910 | | 2,492 |
|
4,207 | A*33:71-B*51:02-C*02:02-DRB1*10:01-DQB1*05:01 | | India Tamil Nadu | 0.0007910 | | 2,492 |
|
4,208 | A*33:71-B*51:06-C*02:02-DRB1*10:01-DQB1*05:01 | | India Tamil Nadu | 0.0007910 | | 2,492 |
|
4,209 | A*33:71-B*51:07-C*02:02-DRB1*10:01-DQB1*05:01 | | India Tamil Nadu | 0.0007910 | | 2,492 |
|
4,210 | A*33:71-B*51:08-C*02:02-DRB1*10:01-DQB1*05:01 | | India Tamil Nadu | 0.0007910 | | 2,492 |
|
4,211 | A*33:71-B*51:152-C*02:02-DRB1*10:01-DQB1*05:01 | | India Tamil Nadu | 0.0007910 | | 2,492 |
|
4,212 | A*24:02:01-B*07:02:01-C*02:02:02-DRB1*16:01:01-DQB1*05:02:01 | | Poland BMR | 0.0007859 | | 23,595 |
|
4,213 | A*24:02:01-B*40:02:01-C*02:02:02-DRB1*11:03:01-DQB1*03:01:01 | | Poland BMR | 0.0007470 | | 23,595 |
|
4,214 | A*11:01:01-B*55:01:01-C*02:02:02-DRB1*04:01:01-DQB1*03:02:01 | | Poland BMR | 0.0007195 | | 23,595 |
|
4,215 | A*26:08-B*44:05:01-C*02:02:02-DRB1*11:01:01-DQB1*03:01:01 | | Poland BMR | 0.0007064 | | 23,595 |
|
4,216 | A*33:03-B*37:01-C*02:02-DRB1*15:01 | | Poland DKMS | 0.0007000 | | 20,653 |
|
4,217 | A*68:01:02-B*27:05:02-C*02:02:02-DRB1*14:54:01-DQB1*05:03:01 | | Poland BMR | 0.0006944 | | 23,595 |
|
4,218 | A*24:02:01-B*27:05:02-C*02:02:02-DRB1*01:01:01-DQB1*02:02:01 | | Poland BMR | 0.0006781 | | 23,595 |
|
4,219 | A*24:02:01-B*27:02:01-C*02:02:02-DRB1*04:01:01-DQB1*03:02:01 | | Poland BMR | 0.0006693 | | 23,595 |
|
4,220 | A*11:01:01-B*27:05:02-C*02:02:02-DRB1*01:01:01-DQB1*06:02:01 | | Poland BMR | 0.0006139 | | 23,595 |
|
4,221 | A*29:02-B*27:05-C*02:02-DRB1*14:01 | | Poland DKMS | 0.0006000 | | 20,653 |
|
4,222 | A*29:02-B*27:14-C*02:02-DRB1*14:01 | | Poland DKMS | 0.0006000 | | 20,653 |
|
4,223 | A*29:02-B*27:19-C*02:02-DRB1*14:01 | | Poland DKMS | 0.0006000 | | 20,653 |
|
4,224 | A*29:02-B*27:32-C*02:02-DRB1*14:01 | | Poland DKMS | 0.0006000 | | 20,653 |
|
4,225 | A*32:01:01-B*40:02:01-C*02:02:02-DRB1*11:03:01-DQB1*03:01:01 | | Poland BMR | 0.0005937 | | 23,595 |
|
4,226 | A*24:02:01-B*27:05:02-C*02:02:02-DRB1*01:03-DQB1*03:01:01 | | Poland BMR | 0.0005298 | | 23,595 |
|
4,227 | A*24:02:01-B*40:02:01-C*02:02:02-DRB1*11:04:01-DQB1*02:01:01 | | Poland BMR | 0.0005244 | | 23,595 |
|
4,228 | A*26:01:01-B*27:05:02-C*02:02:02-DRB1*01:01:01-DQB1*03:02:01 | | Poland BMR | 0.0005200 | | 23,595 |
|
4,229 | A*11:01-B*40:02-C*02:02-DRB1*09:01 | | Poland DKMS | 0.0005000 | | 20,653 |
|
4,230 | A*11:01-C*02:02 | | China Hubei Han | 0.0005000 | | 3,732 |
|
4,231 | A*24:02-B*40:02-C*02:02-DRB1*16:01 | | Poland DKMS | 0.0005000 | | 20,653 |
|
4,232 | A*01:01:01-B*40:02:01-C*02:02:02-DRB1*07:01:01-DQB1*03:03:02 | | Poland BMR | 0.0004823 | | 23,595 |
|
4,233 | A*01:01-B*40:02-C*02:02-DRB1*01:01 | | Poland DKMS | 0.0004000 | | 20,653 |
|
4,234 | A*24:02-B*27:05-C*02:02-DRB1*04:04 | | Poland DKMS | 0.0004000 | | 20,653 |
|
4,235 | A*25:01:01-B*27:05:02-C*02:02:02-DRB1*01:01:01-DQB1*03:02:01 | | Poland BMR | 0.0003841 | | 23,595 |
|
4,236 | A*03:01:01-B*27:02:01-C*02:02:02-DRB1*01:01:01-DQB1*05:01:01 | | Poland BMR | 0.0003790 | | 23,595 |
|
4,237 | A*02:01:01-B*51:01:01-C*02:02:02-DRB1*07:01:01-DQB1*02:02:01 | | Poland BMR | 0.0003038 | | 23,595 |
|
4,238 | A*01:06-B*27:02-C*02:02-DRB1*07:01 | | Poland DKMS | 0.0003000 | | 20,653 |
|
4,239 | A*01:06-B*27:02-C*02:02-DRB1*16:01 | | Poland DKMS | 0.0003000 | | 20,653 |
|
4,240 | A*01:06-B*57:01-C*02:02-DRB1*07:01 | | Poland DKMS | 0.0003000 | | 20,653 |
|
4,241 | A*01:06-B*57:01-C*02:02-DRB1*16:01 | | Poland DKMS | 0.0003000 | | 20,653 |
|
4,242 | A*02:01-B*44:05-C*02:02-DRB1*03:01 | | Poland DKMS | 0.0003000 | | 20,653 |
|
4,243 | A*02:49-B*27:02-C*02:02-DRB1*07:01 | | Poland DKMS | 0.0003000 | | 20,653 |
|
4,244 | A*02:49-B*27:02-C*02:02-DRB1*16:01 | | Poland DKMS | 0.0003000 | | 20,653 |
|
4,245 | A*02:49-B*57:01-C*02:02-DRB1*07:01 | | Poland DKMS | 0.0003000 | | 20,653 |
|
4,246 | A*02:49-B*57:01-C*02:02-DRB1*16:01 | | Poland DKMS | 0.0003000 | | 20,653 |
|
4,247 | A*11:01-B*27:05-C*02:02-DRB1*11:04 | | Poland DKMS | 0.0003000 | | 20,653 |
|
4,248 | A*02:01:01-B*44:02:01-C*02:02:02-DRB1*04:07:01-DQB1*03:01:01 | | Poland BMR | 0.0002572 | | 23,595 |
|
4,249 | A*02:01:01-B*40:02:01-C*02:02:02-DRB1*04:01:01-DQB1*03:01:01 | | Poland BMR | 0.0002390 | | 23,595 |
|
4,250 | A*24:02:01-B*27:02:01-C*02:02:02-DRB1*11:04:01-DQB1*03:01:01 | | Poland BMR | 0.0002147 | | 23,595 |
|
4,251 | A*24:02:01-B*40:02:14-C*02:02:02-DRB1*11:01:01-DQB1*03:01:01 | | Poland BMR | 0.0001924 | | 23,595 |
|
4,252 | A*68:01:01-B*40:02:01-C*02:02:02-DRB1*11:01:01-DQB1*03:01:01 | | Poland BMR | 0.0001847 | | 23,595 |
|
4,253 | A*03:01:01-B*27:05:02-C*02:02:02-DRB1*01:01:01-DQB1*03:02:01 | | Poland BMR | 0.0001554 | | 23,595 |
|
4,254 | A*30:01:01-B*27:02:01-C*02:02:02-DRB1*01:01:01-DQB1*02:02:01 | | Poland BMR | 0.0001494 | | 23,595 |
|
4,255 | A*30:01:01-B*27:02:01-C*02:02:02-DRB1*11:01:01-DQB1*03:01:01 | | Poland BMR | 0.0001319 | | 23,595 |
|
4,256 | A*26:08-B*27:05:02-C*02:02:02-DRB1*01:01:01-DQB1*05:01:01 | | Poland BMR | 0.0001297 | | 23,595 |
|
4,257 | A*11:01-B*27:05-C*02:02-DRB1*12:02-DQB1*03:02 | | India Tamil Nadu | 0.0000056 | | 2,492 |
|
4,258 | A*11:01-B*27:05-C*02:02-DRB1*12:02-DQB1*03:03 | | India Tamil Nadu | 0.0000056 | | 2,492 |
|
4,259 | A*11:01-B*27:05-C*02:02-DRB1*12:02-DQB1*03:04 | | India Tamil Nadu | 0.0000056 | | 2,492 |
|
4,260 | A*02:01-B*27:02-C*02:02 | | Italy pop 5 | 0.0000000 | | 975 |
|
4,261 | A*03:01-B*27:02-C*02:02-DRB1*08:01 | | Poland DKMS | 0.0000000 | | 20,653 |
|
* 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).