Line |
Haplotype |
Population |
Frequency (%) |
Sample Size |
Distribution¹ |
201 | A*03:01-B*15:18-C*07:04-DRB1*04:03-DQB1*03:02 | | Malaysia Peninsular Indian | 0.1845 | | 271 |
|
202 | A*11:01-B*18:01-C*07:04-DRB1*12:02-DQB1*06:01 | | Malaysia Peninsular Indian | 0.1845 | | 271 |
|
203 | A*23:01-B*49:01-C*07:04-DRB1*04:01-DQB1*03:02 | | Malaysia Peninsular Indian | 0.1845 | | 271 |
|
204 | A*23:03-B*15:18-C*07:04-DRB1*07:11-DQB1*03:03 | | Malaysia Peninsular Indian | 0.1845 | | 271 |
|
205 | A*24:02-B*15:80-C*07:04-DRB1*03:01-DQB1*03:02 | | Malaysia Peninsular Indian | 0.1845 | | 271 |
|
206 | A*24:02-B*44:03-C*07:04-DRB1*15:01-DQB1*06:02 | | Malaysia Peninsular Indian | 0.1845 | | 271 |
|
207 | A*24:07-B*51:01-C*07:04-DRB1*13:01-DQB1*06:03 | | Malaysia Peninsular Indian | 0.1845 | | 271 |
|
208 | A*26:01-B*40:06-C*07:04-DRB1*14:04-DQB1*05:03 | | Malaysia Peninsular Indian | 0.1845 | | 271 |
|
209 | A*31:01-B*15:18-C*07:04-DRB1*10:01-DQB1*05:01 | | Malaysia Peninsular Indian | 0.1845 | | 271 |
|
210 | A*32:01-B*35:01-C*07:04-DRB1*01:01-DQB1*05:01 | | Malaysia Peninsular Indian | 0.1845 | | 271 |
|
211 | A*33:01-B*58:01-C*07:04-DRB1*04:03-DQB1*02:01 | | Malaysia Peninsular Indian | 0.1845 | | 271 |
|
212 | A*33:03-B*44:03-C*07:04-DRB1*10:01-DQB1*02:02 | | Malaysia Peninsular Indian | 0.1845 | | 271 |
|
213 | A*68:01-B*15:18-C*07:04-DRB1*04:03-DQB1*03:02 | | Malaysia Peninsular Indian | 0.1845 | | 271 |
|
214 | A*68:01-B*15:18-C*07:04-DRB1*14:04-DQB1*05:03 | | Malaysia Peninsular Indian | 0.1845 | | 271 |
|
215 | A*68:01-B*44:02-C*07:04 | | Italy pop 5 | 0.1800 | | 975 |
|
216 | A*68:01-B*44:02-C*07:04-DRB1*11:01 | | Germany DKMS - France minority | 0.1750 | | 1,406 |
|
217 | A*24:02-B*15:18-C*07:04-DRB1*04:02-DQB1*03:02 | | USA NMDP Caribean Indian | 0.1744 | | 14,339 |
|
218 | A*02:01:01-B*15:18:01-C*07:04:01-DRB1*04:01:01-DQB1*03:01:01 | | China Zhejiang Han | 0.1730 | | 1,734 |
|
219 | A*02:01-B*15:18-C*07:04-DRB1*04:01 | | Germany DKMS - China minority | 0.1710 | | 1,282 |
|
220 | B*18:02-C*07:04 | | USA Asian pop 2 | 0.1710 | | 1,772 |
|
221 | B*18:01-C*07:04 | | USA Asian pop 2 | 0.1700 | | 1,772 |
|
222 | A*68:01-B*44:02-C*07:04-DRB1*11:01 | | Germany DKMS - Croatia minority | 0.1690 | | 2,057 |
|
223 | A*03:01-B*15:18-C*07:04-DRB1*15:02-DQB1*06:01 | | India Northeast UCBB | 0.1689 | | 296 |
|
224 | A*11:01-B*15:18-C*07:04-DRB1*01:01-DQB1*05:01 | | India Northeast UCBB | 0.1689 | | 296 |
|
225 | A*11:01-B*15:18-C*07:04-DRB1*14:04-DQB1*06:01 | | India Northeast UCBB | 0.1689 | | 296 |
|
226 | A*11:01-B*44:02-C*07:04-DRB1*14:04-DQB1*05:03 | | India Northeast UCBB | 0.1689 | | 296 |
|
227 | A*68:01-B*15:18-C*07:04-DRB1*03:01-DQB1*02:01 | | India Northeast UCBB | 0.1689 | | 296 |
|
228 | A*68:01-B*15:18-C*07:04-DRB1*11:01-DQB1*03:01 | | India Northeast UCBB | 0.1689 | | 296 |
|
229 | A*68:01-B*15:18-C*07:04-DRB1*04:03-DQB1*03:02 | | India South UCBB | 0.1632 | | 11,446 |
|
230 | A*68:01-B*15:18-C*07:04-DRB1*14:04-DQB1*05:03 | | India West UCBB | 0.1631 | | 5,829 |
|
231 | A*32:01-B*15:29-C*07:04-DRB1*15:02-DQB1*06:01 | | India North UCBB | 0.1626 | | 5,849 |
|
232 | A*02:01-C*07:04 | | Italy pop 5 | 0.1600 | | 975 |
|
233 | A*03:01-C*07:04 | | Italy pop 5 | 0.1600 | | 975 |
|
234 | A*01:01-B*08:01-C*07:04-DRB1*13:02-DQB1*06:03-DPB1*02:01 | | Tanzania Maasai | 0.1597 | | 336 |
|
235 | A*01:01-B*08:01-C*07:04-DRB1*13:02-DQB1*06:09-DPB1*04:01 | | Tanzania Maasai | 0.1597 | | 336 |
|
236 | A*01:01-B*08:01-C*07:04-DRB1*13:02-DQB1*06:09-DPB1*17:01 | | Tanzania Maasai | 0.1597 | | 336 |
|
237 | A*01:01-B*42:08-C*07:04-DRB1*11:01-DQB1*03:19-DPB1*01:01 | | Tanzania Maasai | 0.1597 | | 336 |
|
238 | A*01:03-B*53:01-C*07:04-DRB1*03:01-DQB1*02:01-DPB1*17:01 | | Tanzania Maasai | 0.1597 | | 336 |
|
239 | A*02:02-B*35:01-C*07:04-DRB1*11:01-DQB1*05:01-DPB1*04:02 | | Tanzania Maasai | 0.1597 | | 336 |
|
240 | A*23:01-B*15:17-C*07:04-DRB1*07:01-DQB1*02:01-DPB1*105:01 | | Tanzania Maasai | 0.1597 | | 336 |
|
241 | A*29:01-B*47:01-C*07:04-DRB1*03:01-DQB1*02:01-DPB1*01:01 | | Tanzania Maasai | 0.1597 | | 336 |
|
242 | A*29:01-B*47:02-C*07:04-DRB1*07:01-DQB1*04:02-DPB1*01:01 | | Tanzania Maasai | 0.1597 | | 336 |
|
243 | A*36:01-B*08:01-C*07:04-DRB1*13:02-DQB1*06:04-DPB1*124:01 | | Tanzania Maasai | 0.1597 | | 336 |
|
244 | A*68:01-B*15:18-C*07:04-DRB1*01:01-DQB1*05:01 | | USA NMDP Caribean Indian | 0.1597 | | 14,339 |
|
245 | A*68:02-B*18:01-C*07:04-DRB1*13:02-DQB1*06:09-DPB1*03:01 | | Tanzania Maasai | 0.1597 | | 336 |
|
246 | A*68:02-B*18:09-C*07:04-DRB1*04:05-DQB1*06:04-DPB1*107:01 | | Tanzania Maasai | 0.1597 | | 336 |
|
247 | A*74:01-B*18:01-C*07:04-DRB1*03:02-DQB1*04:02-DPB1*39:01 | | Tanzania Maasai | 0.1597 | | 336 |
|
248 | A*74:01-B*18:01-C*07:04-DRB1*11:04-DQB1*03:01-DPB1*30:01 | | Tanzania Maasai | 0.1597 | | 336 |
|
249 | A*03:01:01:01-B*44:27:01-C*07:04:01-DRB1*16:01:01-DQB1*05:02 | | Russia Nizhny Novgorod, Russians | 0.1583 | | 1,510 |
|
250 | A*11:01-B*18:01-C*07:04-DRB1*04:05-DQB1*04:02 | | Malaysia Peninsular Malay | 0.1577 | | 951 |
|
251 | A*24:07-B*18:02-C*07:04-DRB1*12:02-DQB1*03:01 | | Malaysia Peninsular Malay | 0.1577 | | 951 |
|
252 | A*02:01-B*44:02-C*07:04-DRB1*11:01 | | Germany DKMS - Netherlands minority | 0.1560 | | 1,374 |
|
253 | A*68:01-B*15:18-C*07:04-DRB1*14:04-DQB1*05:03 | | India East UCBB | 0.1539 | | 2,403 |
|
254 | A*02:01-B*44:02-C*07:04-DRB1*04:01 | | Germany DKMS - Netherlands minority | 0.1500 | | 1,374 |
|
255 | A*02:01-B*44:02-C*07:04-DRB1*16:01 | | Germany DKMS - Austria minority | 0.1470 | | 1,698 |
|
256 | A*24:07-B*18:01-C*07:04-DRB1*12:02-DQB1*03:01 | | Malaysia Peninsular Malay | 0.1457 | | 951 |
|
257 | A*68:01-B*44:02-C*07:04-DRB1*11:01 | | Germany DKMS - United Kingdom minority | 0.1440 | | 1,043 |
|
258 | A*68:01-B*44:02-C*07:04-DRB1*01:01 | | Germany DKMS - Netherlands minority | 0.1410 | | 1,374 |
|
259 | A*01:01-B*37:01-C*07:04-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*04:01 | | Sri Lanka Colombo | 0.1401 | | 714 |
|
260 | A*33:03-B*15:18-C*07:04-DRB1*12:02-DQA1*06:01-DQB1*03:01-DPB1*04:01 | | Sri Lanka Colombo | 0.1401 | | 714 |
|
261 | A*02:11:01-B*15:18:01-C*07:04:01-DRB1*11:04:01-DQB1*06:01:01 | | India Kerala Malayalam speaking | 0.1400 | | 356 |
|
262 | A*03:01:01-B*15:18:01-C*07:04:01-DRB1*04:01:01-DQB1*03:02:01 | | India Kerala Malayalam speaking | 0.1400 | | 356 |
|
263 | A*03:01:01-B*15:18:01-C*07:04:01-DRB1*12:01:01-DQB1*03:02:01 | | India Kerala Malayalam speaking | 0.1400 | | 356 |
|
264 | A*11:01-B*44:02-C*07:04-DRB1*11:01-DQB1*04:02 | | Italy pop 5 | 0.1400 | | 975 |
|
265 | A*24:02:01-B*15:18:01-C*07:04:01-DRB1*04:01:01-DQB1*03:02:01 | | India Kerala Malayalam speaking | 0.1400 | | 356 |
|
266 | A*24:02-B*15:01-C*07:04-DRB1*07:01-DQB1*02:02 | | Italy pop 5 | 0.1400 | | 975 |
|
267 | A*26:01:01-B*15:18:01-C*07:04:01-DRB1*13:02:01-DQB1*02:01:07 | | India Kerala Malayalam speaking | 0.1400 | | 356 |
|
268 | A*31:01:02-B*51:01:01-C*07:04:01-DRB1*14:04:01-DQB1*06:09:01 | | India Kerala Malayalam speaking | 0.1400 | | 356 |
|
269 | A*68:01:01-B*15:18:01-C*07:04:01-DRB1*15:02:01-DQB1*06:01:01 | | India Kerala Malayalam speaking | 0.1400 | | 356 |
|
270 | A*68:01:02-B*15:18:01-C*07:04:01-DRB1*13:01:01-DQB1*06:03:01 | | India Kerala Malayalam speaking | 0.1400 | | 356 |
|
271 | A*03:01:01-B*44:02:01-C*07:04:01 | | England Blood Donors of Mixed Ethnicity | 0.1388 | | 519 |
|
272 | A*02:01-B*44:02-C*07:04-DRB1*11:01 | | Germany DKMS - Austria minority | 0.1360 | | 1,698 |
|
273 | A*68:01-B*15:18-C*07:04-DRB1*14:04-DQB1*05:03 | | India South UCBB | 0.1360 | | 11,446 |
|
274 | A*68:01-B*44:02-C*07:04-DRB1*11:01-DQB1*03:01-DPB1*04:01 | | Germany DKMS - German donors | 0.1359 | | 3,456,066 |
|
275 | A*68:01-B*44:02-C*07:04-DRB1*15:01-DQB1*06:02-DPB1*02:01 | | Russia Karelia | 0.1352 | | 1,075 |
|
276 | A*02:07-B*15:18-C*07:04-DRB1*04:01 | | Germany DKMS - Greece minority | 0.1320 | | 1,894 |
|
277 | A*68:01-B*44:02-C*07:04-DRB1*11:01-DQB1*03:01-DPB1*02:01 | | Germany DKMS - German donors | 0.1289 | | 3,456,066 |
|
278 | A*68:01-B*15:18-C*07:04-DRB1*01:02 | | Germany DKMS - Portugal minority | 0.1280 | | 1,176 |
|
279 | A*68:01-B*44:02-C*07:04-DRB1*11:01-DQB1*03:01-DPB1*02:01 | | Russia Karelia | 0.1234 | | 1,075 |
|
280 | A*02:01-B*44:02-C*07:04-DRB1*15:01 | | Germany DKMS - Austria minority | 0.1220 | | 1,698 |
|
281 | A*68:01-B*44:02-C*07:04-DRB1*11:01 | | Germany DKMS - Romania minority | 0.1220 | | 1,234 |
|
282 | A*11:01-B*15:18-C*07:04-DRB1*04:03-DQB1*03:02 | | India South UCBB | 0.1211 | | 11,446 |
|
283 | A*24:02-B*15:18-C*07:04-DRB1*13:01 | | Germany DKMS - Portugal minority | 0.1210 | | 1,176 |
|
284 | A*68:01-B*15:18-C*07:04-DRB1*13:01-DQB1*06:03 | | India Tamil Nadu | 0.1204 | | 2,492 |
|
285 | A*02:01-B*44:02-C*07:04-DRB1*16:01-DQB1*05:02 | | Germany DKMS - Turkey minority | 0.1200 | | 4,856 |
|
286 | A*24:02-C*07:04 | | Italy pop 5 | 0.1200 | | 975 |
|
287 | A*32:01-B*15:29-C*07:04-DRB1*16:02-DQB1*05:02 | | India West UCBB | 0.1198 | | 5,829 |
|
288 | A*68:01-B*44:02-C*07:04-DRB1*11:01-DQB1*03:01-DPB1*03:01 | | Russia Karelia | 0.1178 | | 1,075 |
|
289 | A*68:01-B*44:02-C*07:04-DRB1*07:01-DQB1*02:01 | | USA NMDP Black South or Central American | 0.1177 | | 4,889 |
|
290 | A*02:01-B*44:02-C*07:04-DRB1*11:01 | | Germany DKMS - United Kingdom minority | 0.1170 | | 1,043 |
|
291 | B*15:29-C*07:04 | | USA Asian pop 2 | 0.1140 | | 1,772 |
|
292 | A*68:01-B*44:02-C*07:04-DRB1*11:01 | | Germany DKMS - Portugal minority | 0.1120 | | 1,176 |
|
293 | A*68:01-B*15:18-C*07:04-DRB1*15:02-DQB1*06:01 | | India East UCBB | 0.1110 | | 2,403 |
|
294 | A*02:01-B*44:02-C*07:04-DRB1*11:01-DQB1*03:01 | | India North UCBB | 0.1104 | | 5,849 |
|
295 | B*15:09-C*07:04 | | Italy pop 5 | 0.1100 | | 975 |
|
296 | B*15:18-C*07:04 | | Italy pop 5 | 0.1100 | | 975 |
|
297 | B*18:01-C*07:04 | | Italy pop 5 | 0.1100 | | 975 |
|
298 | A*02:01-B*15:18-C*07:04-DRB1*13:01 | | Germany DKMS - France minority | 0.1070 | | 1,406 |
|
299 | A*03:01-B*18:02-C*07:04-DRB1*12:02-DQB1*05:02 | | Malaysia Peninsular Malay | 0.1052 | | 951 |
|
300 | A*11:01-B*18:02-C*07:04-DRB1*15:02-DQB1*05:01 | | Malaysia Peninsular Malay | 0.1052 | | 951 |
|
* 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).