Line |
Haplotype |
Population |
Frequency (%) |
Sample Size |
Distribution¹ |
201 | A*24:02-B*07:02-C*07:02-DRB1*13:01 | | Hong Kong Chinese BMDR | 0.0061 | | 7,595 |
|
202 | A*03:01-B*07:02-DRB1*13:01 | | Israel Arab pop 2 | 0.0048 | | 12,301 |
|
203 | A*25:01-B*07:02-DRB1*13:01 | | Israel USSR Jews | 0.0046 | | 45,681 |
|
204 | A*26:01-B*07:02-DRB1*13:01 | | Israel USSR Jews | 0.0046 | | 45,681 |
|
205 | A*31:01-B*07:02-C*07:02-DRB1*13:01 | | Poland DKMS | 0.0046 | | 20,653 |
|
206 | A*31:01:02-B*07:02:01-C*07:02:01-DRB1*13:01:01-DQB1*06:03:01 | | Poland BMR | 0.0044 | | 23,595 |
|
207 | A*11:01-B*07:02-DRB1*13:01 | | Israel USSR Jews | 0.0044 | | 45,681 |
|
208 | A*31:01-B*07:02-DRB1*13:01 | | Israel Ethiopia Jews | 0.0042 | | 5,928 |
|
209 | A*31:11-B*07:02-DRB1*13:01 | | Israel Ethiopia Jews | 0.0042 | | 5,928 |
|
210 | A*03:09-B*07:02-DRB1*13:01 | | Israel USA Jews | 0.0041 | | 6,058 |
|
211 | A*03:19-B*07:02-DRB1*13:01 | | Israel USA Jews | 0.0041 | | 6,058 |
|
212 | A*02:17-B*07:02-DRB1*13:01 | | Israel Arab pop 2 | 0.0041 | | 12,301 |
|
213 | A*24:02-B*07:02-C*03:04-DRB1*13:01 | | Poland DKMS | 0.0040 | | 20,653 |
|
214 | A*29:02-B*07:02-C*07:02-DRB1*13:01 | | Poland DKMS | 0.0037 | | 20,653 |
|
215 | A*30:01-B*07:02-DRB1*13:01 | | Israel Poland Jews | 0.0036 | | 13,871 |
|
216 | A*03:02-B*07:02-DRB1*13:01 | | Israel Poland Jews | 0.0033 | | 13,871 |
|
217 | A*03:01-B*07:02-DRB1*13:01 | | Israel Morocco Jews | 0.0028 | | 36,718 |
|
218 | A*02:01-B*07:02-DRB1*13:01 | | Israel YemenJews | 0.0027 | | 15,542 |
|
219 | A*02:01-B*07:02-C*07:01-DRB1*13:01 | | Poland DKMS | 0.0024 | | 20,653 |
|
220 | A*24:02-B*07:02-C*02:02-DRB1*13:01 | | Poland DKMS | 0.0024 | | 20,653 |
|
221 | A*66:01-B*07:02-C*07:02-DRB1*13:01 | | Poland DKMS | 0.0024 | | 20,653 |
|
222 | A*68:01-B*07:02-C*07:02-DRB1*13:01 | | Poland DKMS | 0.0023 | | 20,653 |
|
223 | A*33:01:01-B*07:02:01-C*07:02:01-DRB1*13:01:01-DQB1*06:03:01 | | Poland BMR | 0.0021 | | 23,595 |
|
224 | A*02:01:01-B*07:02:01-C*12:03:01-DRB1*13:01:01-DQB1*06:03:01 | | Poland BMR | 0.0021 | | 23,595 |
|
225 | A*24:02:01-B*07:02:01-C*07:01:01-DRB1*13:01:01-DQB1*06:03:01 | | Poland BMR | 0.0021 | | 23,595 |
|
226 | A*25:01:01-B*07:02:01-C*02:02:02-DRB1*13:01:01-DQB1*06:03:01 | | Poland BMR | 0.0021 | | 23,595 |
|
227 | A*26:01:01-B*07:02:01-C*07:01:01-DRB1*13:01:01-DQB1*06:03:01 | | Poland BMR | 0.0021 | | 23,595 |
|
228 | A*29:02:01-B*07:02:01-C*07:02:01-DRB1*13:01:01-DQB1*05:03:01 | | Poland BMR | 0.0021 | | 23,595 |
|
229 | A*31:01:02-B*07:02:01-C*07:02:01-DRB1*13:01:01-DQB1*06:03:02 | | Poland BMR | 0.0021 | | 23,595 |
|
230 | A*26:01:01-B*07:02:01-C*07:02:01-DRB1*13:01:01-DQB1*03:01:01 | | Poland BMR | 0.0021 | | 23,595 |
|
231 | A*31:01:02-B*07:02:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01 | | Poland BMR | 0.0021 | | 23,595 |
|
232 | A*31:01-B*07:02-DRB1*13:01 | | Israel USSR Jews | 0.0021 | | 45,681 |
|
233 | A*25:01:01-B*07:02:01-C*07:02:10-DRB1*13:01:01-DQB1*06:03:01 | | Poland BMR | 0.0020 | | 23,595 |
|
234 | A*68:01-B*07:02-C*03:04-DRB1*13:01 | | Poland DKMS | 0.0018 | | 20,653 |
|
235 | A*68:02-B*07:02-C*07:02-DRB1*13:01 | | Poland DKMS | 0.0017 | | 20,653 |
|
236 | A*03:02-B*07:02-C*07:02-DRB1*13:01 | | Poland DKMS | 0.0015 | | 20,653 |
|
237 | A*69:01-B*07:02-DRB1*13:01 | | Israel Morocco Jews | 0.0014 | | 36,718 |
|
238 | A*02:01-B*07:02-DRB1*13:01 | | Israel Morocco Jews | 0.0014 | | 36,718 |
|
239 | A*23:01-B*07:02-DRB1*13:01 | | Israel USSR Jews | 0.0013 | | 45,681 |
|
240 | A*33:01-B*07:02-DRB1*13:01 | | Israel USSR Jews | 0.0012 | | 45,681 |
|
241 | A*30:01-B*07:02-DRB1*13:01 | | Israel USSR Jews | 0.0012 | | 45,681 |
|
242 | A*68:01-B*07:02-DRB1*13:01 | | Israel USSR Jews | 0.0011 | | 45,681 |
|
243 | A*23:01-B*07:02-C*07:02-DRB1*13:01 | | Poland DKMS | 0.0010 | | 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).