Line |
Haplotype |
Population |
Frequency (%) |
Sample Size |
Distribution¹ |
5,201 | A*03:02-B*08:01-C*07:02-DRB1*13:01 | | Poland DKMS | 0.0006000 | | 20,653 |
|
5,202 | A*24:02-B*08:01 | | China Hubei Han | 0.0006000 | | 3,732 |
|
5,203 | A*02:01:01-B*08:01:01-C*07:01:01-DRB1*08:01:01-DQB1*04:02:01 | | Poland BMR | 0.0005774 | | 23,595 |
|
5,204 | A*30:01-B*08:01-DRB1*15:02 | | Israel USSR Jews | 0.0005700 | | 45,681 |
|
5,205 | A*30:01-B*08:01-DRB1*13:02 | | Israel USSR Jews | 0.0005640 | | 45,681 |
|
5,206 | A*30:01-B*08:01-DRB1*13:03 | | Israel USSR Jews | 0.0005640 | | 45,681 |
|
5,207 | A*30:01-B*08:01-DRB1*13:05 | | Israel USSR Jews | 0.0005640 | | 45,681 |
|
5,208 | A*01:17-B*08:01-DRB1*13:02 | | Israel USSR Jews | 0.0005470 | | 45,681 |
|
5,209 | A*01:17-B*08:02-DRB1*08:01 | | Israel USSR Jews | 0.0005470 | | 45,681 |
|
5,210 | A*01:17-B*08:34-DRB1*04:04 | | Israel USSR Jews | 0.0005470 | | 45,681 |
|
5,211 | A*01:36-B*08:01-DRB1*13:02 | | Israel USSR Jews | 0.0005470 | | 45,681 |
|
5,212 | A*01:36-B*08:02-DRB1*08:01 | | Israel USSR Jews | 0.0005470 | | 45,681 |
|
5,213 | A*01:36-B*08:34-DRB1*04:04 | | Israel USSR Jews | 0.0005470 | | 45,681 |
|
5,214 | A*02:02-B*08:01-DRB1*03:01 | | Israel USSR Jews | 0.0005470 | | 45,681 |
|
5,215 | A*02:12-B*08:01-DRB1*03:01 | | Israel USSR Jews | 0.0005470 | | 45,681 |
|
5,216 | A*02:17-B*08:20-DRB1*03:01 | | Israel USSR Jews | 0.0005470 | | 45,681 |
|
5,217 | A*02:17-B*08:20-DRB1*11:04 | | Israel USSR Jews | 0.0005470 | | 45,681 |
|
5,218 | A*23:27-B*08:04-DRB1*03:01 | | Israel USSR Jews | 0.0005470 | | 45,681 |
|
5,219 | A*23:29-B*08:04-DRB1*03:01 | | Israel USSR Jews | 0.0005470 | | 45,681 |
|
5,220 | A*24:17-B*08:01-DRB1*13:01 | | Israel USSR Jews | 0.0005470 | | 45,681 |
|
5,221 | A*25:02-B*08:01-DRB1*12:01 | | Israel USSR Jews | 0.0005470 | | 45,681 |
|
5,222 | A*25:04-B*08:01-DRB1*12:01 | | Israel USSR Jews | 0.0005470 | | 45,681 |
|
5,223 | A*26:16-B*08:34-DRB1*03:01 | | Israel USSR Jews | 0.0005470 | | 45,681 |
|
5,224 | A*26:32-B*08:34-DRB1*03:01 | | Israel USSR Jews | 0.0005470 | | 45,681 |
|
5,225 | A*31:08-B*08:01-DRB1*13:01 | | Israel USSR Jews | 0.0005470 | | 45,681 |
|
5,226 | A*26:01-B*08:01-C*07:02-DRB1*07:01-DQB1*02:03 | | India Tamil Nadu | 0.0005430 | | 2,492 |
|
5,227 | A*26:01-B*08:01-C*07:02-DRB1*07:01-DQB1*02:05 | | India Tamil Nadu | 0.0005430 | | 2,492 |
|
5,228 | A*01:01-B*08:01 | | China Hubei Han | 0.0005000 | | 3,732 |
|
5,229 | A*32:01:01-B*08:01:01-C*07:01:01-DRB1*09:01:02-DQB1*03:03:02 | | Poland BMR | 0.0004672 | | 23,595 |
|
5,230 | A*66:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01 | | Poland BMR | 0.0003936 | | 23,595 |
|
5,231 | A*01:01-B*08:01-C*07:01-DRB1*03:01-DRB3*01:01-DQB1*02:01 | | USA NMDP South Asian Indian | 0.0003620 | | 185,391 |
|
5,232 | A*23:01:01-B*08:01:02-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01 | | Poland BMR | 0.0003277 | | 23,595 |
|
5,233 | A*03:01-B*08:01-C*07:01-DRB1*01:01 | | Poland DKMS | 0.0003000 | | 20,653 |
|
5,234 | A*02:01-B*08:01-C*07:01-DRB1*03:01-DRB3*01:01-DQB1*02:01 | | USA NMDP South Asian Indian | 0.0002980 | | 185,391 |
|
5,235 | A*02:01-B*08:01-C*07:01-DRB1*04:04 | | Poland DKMS | 0.0002000 | | 20,653 |
|
5,236 | A*02:01-B*08:01-C*07:01-DRB1*03:01-DRB3*01:01-DQB1*02:01 | | USA NMDP Korean | 0.0000030 | | 77,584 |
|
5,237 | A*02-B*08-DRB1*11:117 | | Chile Santiago | 0.0000000 | | 920 |
|
5,238 | A*02-B*08-DRB1*11:133 | | Chile Santiago | 0.0000000 | | 920 |
|
5,239 | A*02-B*08-DRB1*11:134 | | Chile Santiago | 0.0000000 | | 920 |
|
5,240 | A*02-B*08-DRB1*11:97 | | Chile Santiago | 0.0000000 | | 920 |
|
5,241 | A*01:01-B*08:01-C*07:18-DRB1*03:01 | | Italy pop 5 | 0.0000000 | | 975 |
|
5,242 | A*02:01-B*08:01-C*07:01-DRB1*03:01 | | Italy pop 5 | 0.0000000 | | 975 |
|
5,243 | A*02-B*08-DRB1*11:100 | | Chile Santiago | 0.0000000 | | 920 |
|
5,244 | A*24:02-B*08:01-C*07:01-DRB1*04:04 | | 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).