Line |
Haplotype |
Population |
Frequency (%) |
Sample Size |
Distribution¹ |
201 | A*24:02:01-B*38:02:02-C*07:02:01-DRB1*15:02:01-DPB1*48:01 | | Hong Kong Chinese HKBMDR HLA 11 loci | 0.0052 | | 5,266 |
|
202 | A*11:01:01-B*38:02:01-C*07:02:01-DRB1*15:02:01-DPB1*09:01:01 | | Hong Kong Chinese HKBMDR HLA 11 loci | 0.0051 | | 5,266 |
|
203 | A*02:01-B*38:02-C*07:02-DRB1*15:01 | | Japan pop 16 | 0.0050 | | 18,604 |
|
204 | A*02:01-B*38:02-C*07:02-DRB1*15:02 | | Japan pop 16 | 0.0050 | | 18,604 |
|
205 | A*11:01-B*38:02-C*07:02-DRB1*15:02 | | Japan pop 16 | 0.0050 | | 18,604 |
|
206 | A*24:02-B*38:02-C*07:02-DRB1*15:02 | | Japan pop 16 | 0.0050 | | 18,604 |
|
207 | A*31:01-B*38:02-C*07:02-DRB1*15:01 | | Japan pop 16 | 0.0050 | | 18,604 |
|
208 | A*02:03-B*38:02-C*07:02-DRB1*15:01-DQB1*06:01 | | India South UCBB | 0.0049 | | 11,446 |
|
209 | A*11:01-B*38:02-C*07:02-DRB1*15:02-DQB1*05:01 | | India South UCBB | 0.0049 | | 11,446 |
|
210 | A*02:01-B*38:02-C*07:02-DRB1*15:01-DQB1*06:01 | | India South UCBB | 0.0044 | | 11,446 |
|
211 | A*02:05-B*38:02-C*07:02-DRB1*15:02-DQB1*06:01 | | India South UCBB | 0.0044 | | 11,446 |
|
212 | A*03:01-B*38:02-C*07:02-DRB1*15:01-DQB1*06:01 | | India South UCBB | 0.0044 | | 11,446 |
|
213 | A*24:02-B*38:02-C*07:02-DRB1*15:01-DQB1*05:02 | | India South UCBB | 0.0044 | | 11,446 |
|
214 | A*29:02-B*38:02-C*07:02-DRB1*15:02-DQB1*06:01 | | India South UCBB | 0.0044 | | 11,446 |
|
215 | A*31:01-B*38:02-C*07:02-DRB1*15:04-DQB1*05:02 | | India South UCBB | 0.0044 | | 11,446 |
|
216 | A*32:01-B*38:02-C*07:02-DRB1*15:02-DQB1*05:01 | | India South UCBB | 0.0044 | | 11,446 |
|
217 | A*33:03-B*38:02-C*07:02-DRB1*15:01-DQB1*06:01 | | India South UCBB | 0.0044 | | 11,446 |
|
218 | A*26:01-B*38:02-C*07:02-DRB1*15:02-DRB5*01:02-DQB1*05:01 | | USA NMDP Chinese | 0.0043 | | 99,672 |
|
219 | A*26:01-B*38:02-C*07:02-DRB1*15:02-DQB1*05:01 | | India South UCBB | 0.0041 | | 11,446 |
|
220 | A*74:01-B*38:02-C*07:02-DRB1*15:02 | | Hong Kong Chinese BMDR | 0.0039 | | 7,595 |
|
221 | A*24:02-B*38:02-C*07:02-DRB1*15:01-DQB1*06:01 | | India West UCBB | 0.0038 | | 5,829 |
|
222 | A*24:02-B*38:02-C*07:02-DRB1*15:02-DRB5*01:01-DQB1*05:02 | | USA NMDP Chinese | 0.0032 | | 99,672 |
|
223 | A*33:03-B*38:02-C*07:02-DRB1*15:02-DQB1*05:01 | | India South UCBB | 0.0029 | | 11,446 |
|
224 | A*11:01-B*38:01-C*07:02-DRB1*15:01 | | Poland DKMS | 0.0024 | | 20,653 |
|
225 | A*74:03-B*38:01-C*07:02-DRB1*15:02-DQB1*05:03 | | India Tamil Nadu | 0.0021 | | 2,492 |
|
226 | A*74:03-B*38:02-C*07:02-DRB1*15:02-DQB1*05:03 | | India Tamil Nadu | 0.0021 | | 2,492 |
|
227 | A*03:01:01-B*38:01:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01 | | Poland BMR | 0.0021 | | 23,595 |
|
228 | A*02:01-B*38:02-C*07:02-DRB1*15:04-DQB1*05:02 | | India South UCBB | 0.0016 | | 11,446 |
|
229 | A*74:03-B*38:01-C*07:02-DRB1*15:01-DQB1*05:02 | | India Tamil Nadu | 0.0014 | | 2,492 |
|
230 | A*74:03-B*38:01-C*07:02-DRB1*15:06-DQB1*05:02 | | India Tamil Nadu | 0.0014 | | 2,492 |
|
231 | A*74:03-B*38:02-C*07:02-DRB1*15:01-DQB1*05:02 | | India Tamil Nadu | 0.0014 | | 2,492 |
|
232 | A*74:03-B*38:02-C*07:02-DRB1*15:06-DQB1*05:02 | | India Tamil Nadu | 0.0014 | | 2,492 |
|
233 | A*24:02-B*38:02-C*07:02-DRB1*15:02-DRB5*01:01-DQB1*05:02 | | USA NMDP Mexican or Chicano | 0.0001910 | | 261,235 |
|
234 | A*24:02-B*38:02-C*07:02-DRB1*15:02-DRB5*01:01-DQB1*05:02 | | USA NMDP European Caucasian | 0.0000528 | | 1,242,890 |
|
235 | A*02:06-B*38:02-C*07:02-DRB1*15:02-DRB5*01:01-DQB1*05:02 | | USA NMDP European Caucasian | 0.0000402 | | 1,242,890 |
|
236 | A*11:01-B*38:02-C*07:02-DRB1*15:02-DRB5*01:01-DQB1*05:02 | | USA NMDP European Caucasian | 0.0000336 | | 1,242,890 |
|
237 | A*02:06-B*38:02-C*07:02-DRB1*15:02-DRB5*01:01-DQB1*05:02 | | USA NMDP African American pop 2 | 0.0000300 | | 416,581 |
|
238 | A*26:01-B*38:02-C*07:02-DRB1*15:02-DRB5*01:02-DQB1*05:01 | | USA NMDP South Asian Indian | 0.0000220 | | 185,391 |
|
* 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).