Line |
Haplotype |
Population |
Frequency (%) |
Sample Size |
Distribution¹ |
201 | A*24:02-B*48:01-C*08:01-DRB1*08:03-DQB1*06:01 | | USA NMDP Hawaiian or other Pacific Islander | 1.2033 | | 11,499 |
|
202 | A*01-B*52:01:01-DRB1*15:02-DQB1*06:01 | | Tunisia Ghannouch | 1.2000 | | 82 |
|
203 | DRB1*08:03-DQA1*01:03-DQB1*06:01-DPB1*02:02 | | South Korea pop 1 | 1.2000 | | 324 |
|
204 | DRB1*08:03-DQB1*06:01-DPB1*02:01 | | South Korea pop 1 | 1.2000 | | 324 |
|
205 | DRB1*15:01-DQB1*06:01 | | Vietnam HoaBinh Muong | 1.2000 | | 83 |
|
206 | DRB1*15:01-DQB1*06:01 | | Philippines | 1.2000 | | 34 |
|
207 | DRB1*15:02-DQA1*01:03-DQB1*06:01 | | Russia Siberia Irkutsk Tofalar | 1.2000 | | 43 |
|
208 | DRB1*15:02-DQA1*01:03-DQB1*06:01-DPB1*09:01 | | South Korea pop 2 | 1.2000 | | 207 |
|
209 | DRB1*08:03:02-DQB1*06:01-DPB1*05:01:01 | | China Inner Mongolia Autonomous Region Northeast | 1.1850 | | 496 |
|
210 | DRB1*15:01-DQA1*01:02-DQB1*06:01 | | Spain Las Alpujarras | 1.1800 | | 85 |
|
211 | DRB1*08:03-DQA1*01:03-DQB1*06:01-DPA1*01:03-DPB1*02:01 | | China Zhejiang Han pop 2 | 1.1633 | | 833 |
|
212 | A*33:03:01-B*58:01:01-C*03:02:01-DRB1*15:01:01-DQB1*06:01:01 | | India Karnataka Kannada Speaking | 1.1490 | | 174 |
|
213 | A*02:11-B*40:06-C*15:02-DRB1*15:01-DQB1*06:01 | | India East UCBB | 1.1390 | | 2,403 |
|
214 | A*11:01-B*13:01-C*03:04-DRB1*15:01-DRB5*01:01-DQB1*06:01 | | USA NMDP Chinese | 1.1346 | | 99,672 |
|
215 | DQA1*01:02-DQB1*06:01-DPA1*01:03-DPB1*02:01 | | Hong Kong Chinese HKBMDR. DQ and DP | 1.1327 | | 1,064 |
|
216 | A*02:11-B*40:06-C*15:02-DRB1*15:01-DQB1*06:01 | | India North UCBB | 1.1142 | | 5,849 |
|
217 | DRB1*15:01-DQA1*01:02-DQB1*06:01-DPB1*02:02 | | China Canton Han | 1.1000 | | 264 |
|
218 | DRB1*15:02-DQA1*01:03-DQB1*06:01 | | Russia Tuva pop3 | 1.1000 | | 44 |
|
219 | A*11:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01 | | India East UCBB | 1.0995 | | 2,403 |
|
220 | DRB1*15:01-DQA1*01:02-DQB1*06:01-DPA1*02:02-DPB1*05:01 | | China Zhejiang Han pop 2 | 1.0845 | | 833 |
|
221 | DRB1*15:02-DQB1*06:01 | | Mexico Mexico City Mestizo pop 2 | 1.0700 | | 234 |
|
222 | A*33:03:01-B*40:06:01-C*15:02:01-DRB1*15:01:01-DQB1*06:01:01 | | India Karnataka Kannada Speaking | 1.0630 | | 174 |
|
223 | A*01:02-B*52:01-DRB1*15:01-DQB1*06:01 | | Iran Tabriz Azeris | 1.0309 | | 97 |
|
224 | A*02:01-B*52:01-DRB1*04:01-DQB1*06:01 | | Iran Tabriz Azeris | 1.0309 | | 97 |
|
225 | A*11:01-B*13:01-C*03:04-DRB1*15:01-DQB1*06:01 | | Malaysia Peninsular Chinese | 1.0309 | | 194 |
|
226 | A*11:01-B*15:02-C*08:01-DRB1*15:01-DQB1*06:01 | | Malaysia Peninsular Chinese | 1.0309 | | 194 |
|
227 | A*11:01-B*46:01-C*01:02-DRB1*08:03-DQB1*06:01 | | Malaysia Peninsular Chinese | 1.0309 | | 194 |
|
228 | A*33:01-B*52:01-DRB1*15:01-DQB1*06:01 | | Iran Tabriz Azeris | 1.0309 | | 97 |
|
229 | A*68:01-B*51:01-DRB1*15:01-DQB1*06:01 | | Iran Tabriz Azeris | 1.0309 | | 97 |
|
230 | DQB1*06:01-DPB1*02:02 | | China Inner Mongolia Autonomous Region Northeast | 1.0250 | | 496 |
|
231 | A*01:01-B*52:01-C*12:02-DRB1*15:02:01-DQB1*06:01 | | England North West | 1.0000 | | 298 |
|
232 | DRB1*08:03-DQB1*06:01 | | Japan Hokkaido Ainu | 1.0000 | | 50 |
|
233 | DRB1*15:01-DQB1*06:01 | | Vietnam Hanoi Kinh | 1.0000 | | 103 |
|
234 | DRB1*15:02:01-DQA1*01:03-DQB1*06:01 | | Russia Northwest Slavic | 1.0000 | | 200 |
|
235 | DRB1*15:02-DQB1*06:01 | | Japan Hokkaido Ainu | 1.0000 | | 50 |
|
236 | A*02:11-B*40:06-C*15:02-DRB1*15:01-DQB1*06:01 | | India South UCBB | 0.9986 | | 11,446 |
|
237 | A*24:02:01-B*35:05:01-C*04:01:01-DRB1*08:03:02-DQB1*06:01:01 | | Vietnam Kinh | 0.9900 | | 101 |
|
238 | A*31:01:02-B*51:02:01-C*15:02:01-DRB1*08:03:02-DQB1*06:01:01 | | Vietnam Kinh | 0.9900 | | 101 |
|
239 | A*11:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01 | | India West UCBB | 0.9892 | | 5,829 |
|
240 | A*24:02-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01 | | USA Asian pop 2 | 0.9770 | | 1,772 |
|
241 | A*32:01-B*52:01-C*12:02-DRB1*15:01-DQA1*01:02-DQB1*06:01 | | United Arab Emirates Abu Dhabi | 0.9600 | | 52 |
|
242 | A*33:03-B*15:17-C*07:01-DRB1*13:02-DQA1*01:03-DQB1*06:01 | | United Arab Emirates Abu Dhabi | 0.9600 | | 52 |
|
243 | A*33:03-B*58:01-C*07:02-DRB1*16:02-DQA1*01:03-DQB1*06:01 | | United Arab Emirates Abu Dhabi | 0.9600 | | 52 |
|
244 | DQA1*06:01-DQB1*06:01 | | China, Xinjiang Uyghur Autonomous Region Kazakh | 0.9600 | | 52 |
|
245 | A*24:02:01-B*40:06:01-C*15:02:01-DRB1*15:01:01-DQB1*06:01:01 | | India Karnataka Kannada Speaking | 0.9480 | | 174 |
|
246 | A*02:11-B*40:06-C*15:02-DRB1*15:01-DQB1*06:01 | | Malaysia Peninsular Indian | 0.9225 | | 271 |
|
247 | A*02:11-B*40:06-C*15:02-DRB1*15:01-DQB1*06:01 | | India Tamil Nadu | 0.9187 | | 2,492 |
|
248 | A*02:07-B*46:01-C*01:02-DRB1*08:03-DQA1*01:03-DQB1*06:01-DPA1*02:02-DPB1*02:02 | | Japan pop 17 | 0.9100 | | 3,078 |
|
249 | A*02-B*57-DRB1*15-DQA1*01:03-DQB1*06:01 | | Russia, South Ural, Chelyabinsk region, Nagaybaks | 0.9100 | | 112 |
|
250 | DRB1*08:03:02-DQB1*06:01-DPB1*02:02 | | China Inner Mongolia Autonomous Region Northeast | 0.8950 | | 496 |
|
251 | A*02:01-B*50:02-DRB1*07:01-DQB1*06:01 | | Iran Yazd | 0.8929 | | 56 |
|
252 | A*11:01-B*35:26-DRB1*15:01-DQB1*06:01 | | Iran Yazd | 0.8929 | | 56 |
|
253 | A*24:02-B*40:01-DRB1*15:01-DQB1*06:01 | | Iran Yazd | 0.8929 | | 56 |
|
254 | A*24:02-B*50:01-DRB1*07:01-DQB1*06:01 | | Iran Yazd | 0.8929 | | 56 |
|
255 | A*24:08-B*52:01-DRB1*15:01-DQB1*06:01 | | Iran Yazd | 0.8929 | | 56 |
|
256 | A*26:01-B*14:05-DRB1*11:01-DQB1*06:01 | | Iran Yazd | 0.8929 | | 56 |
|
257 | A*31:01-B*51:06-DRB1*04:01-DQB1*06:01 | | Iran Yazd | 0.8929 | | 56 |
|
258 | A*11:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01 | | India Central UCBB | 0.8908 | | 4,204 |
|
259 | A*02:07-B*46:01-C*01:02-DRB1*08:03-DRBX*NNNN-DQB1*06:01 | | USA NMDP Chinese | 0.8860 | | 99,672 |
|
260 | A*02:11-B*35:03-C*04:01-DRB1*15:02-DQB1*06:01 | | India South UCBB | 0.8819 | | 11,446 |
|
261 | A*11:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01 | | India North UCBB | 0.8761 | | 5,849 |
|
262 | A*02:11-B*40:06-C*15:02-DRB1*15:01-DRB5*01:01-DQB1*06:01 | | USA NMDP South Asian Indian | 0.8660 | | 185,391 |
|
263 | A*11:01:01-B*39:01:01-C*07:02:01-DRB1*08:03:02-DQB1*06:01:01 | | China Zhejiang Han | 0.8632 | | 1,734 |
|
264 | A*01:01:01-B*07:05:01-C*07:02:01-DRB1*15:01:01-DQB1*06:01:01 | | India Karnataka Kannada Speaking | 0.8620 | | 174 |
|
265 | A*03:01:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:01:01 | | India Karnataka Kannada Speaking | 0.8620 | | 174 |
|
266 | A*02:11:01-B*40:06:01-C*15:02:01-DRB1*15:01:01-DQB1*06:01:01 | | India Kerala Malayalam speaking | 0.8560 | | 356 |
|
267 | DRB1*15:02-DQB1*06:01 | | Georgia Caucasus Tbilisi | 0.8403 | | 119 |
|
268 | A*11:01-B*52:01-C*12:02-DRB1*15:02-DRB5*01:02-DQB1*06:01 | | USA NMDP South Asian Indian | 0.8342 | | 185,391 |
|
269 | A*24:02:01-B*07:05:01-C*07:02:01-DRB1*15:01:01-DQB1*06:01:01 | | India Kerala Malayalam speaking | 0.8340 | | 356 |
|
270 | A*02:01-B*49:01-DRB1*16:01-DQB1*06:01 | | Iran Saqqez-Baneh Kurds | 0.8333 | | 60 |
|
271 | A*02:50-B*13:01-DRB1*16:01-DQB1*06:01 | | Iran Saqqez-Baneh Kurds | 0.8333 | | 60 |
|
272 | A*11:01-B*35:01-DRB1*15:01-DQB1*06:01 | | Iran Saqqez-Baneh Kurds | 0.8333 | | 60 |
|
273 | DQA1*01:02-DQB1*06:01-DPA1*02:02-DPB1*02:02 | | Hong Kong Chinese HKBMDR. DQ and DP | 0.8288 | | 1,064 |
|
274 | A*24:02-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01 | | India East UCBB | 0.8173 | | 2,403 |
|
275 | A*11:01:01-B*07:05:01-C*07:02:01-DRB1*15:01:01-DQB1*06:01:01 | | India Kerala Malayalam speaking | 0.8130 | | 356 |
|
276 | A*24:02:01-B*40:06:01-C*15:02:01-DRB1*15:01:01-DQB1*06:01:01 | | India Andhra Pradesh Telugu Speaking | 0.8065 | | 186 |
|
277 | A*11:01-B*15:02-C*08:01-DRB1*15:01-DRB5*01:01-DQB1*06:01 | | USA NMDP Chinese | 0.8029 | | 99,672 |
|
278 | A*02:01-B*35:27-C*02:02-DRB1*15:01-DQB1*06:01 | | Iran Gorgan | 0.7800 | | 64 |
|
279 | A*24:02-B*52:01-C*12:02-DRB1*15:02-DQA1*01:03-DQB1*06:01-DPA1*02:02-DPB1*05:01 | | Japan pop 17 | 0.7800 | | 3,078 |
|
280 | A*33:01-B*14:02-C*08:01-DRB1*01:01-DQB1*06:01 | | Iran Gorgan | 0.7800 | | 64 |
|
281 | A*33:01-B*58:01-C*03:02-DRB1*03:01-DQB1*06:01 | | Iran Gorgan | 0.7800 | | 64 |
|
282 | A*02:03-B*38:02-C*07:02-DRB1*08:03-DQB1*06:01 | | Malaysia Peninsular Chinese | 0.7732 | | 194 |
|
283 | A*11:01-B*55:02-C*12:03-DRB1*08:03-DQB1*06:01 | | Malaysia Peninsular Chinese | 0.7732 | | 194 |
|
284 | A*24:02-B*40:01-C*07:02-DRB1*08:03-DQB1*06:01 | | Malaysia Peninsular Chinese | 0.7732 | | 194 |
|
285 | A*11:01-B*40:01-C*07:02-DRB1*08:03-DRBX*NNNN-DQB1*06:01 | | USA NMDP Chinese | 0.7393 | | 99,672 |
|
286 | A*11:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01 | | Malaysia Peninsular Indian | 0.7380 | | 271 |
|
287 | A*24:02-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01 | | India Central UCBB | 0.7255 | | 4,204 |
|
288 | DQA1*01:01-DQB1*06:01 | | China, Xinjiang Uyghur Autonomous Region Han | 0.7100 | | 70 |
|
289 | A*01:01-B*40:06-C*15:02-DRB1*15:02-DQB1*06:01 | | India West UCBB | 0.7097 | | 5,829 |
|
290 | A*11:01-B*48:01-C*08:01-DRB1*08:03-DQB1*06:01 | | USA NMDP Hawaiian or other Pacific Islander | 0.7056 | | 11,499 |
|
291 | A*24:02:01-B*07:06:01-C*07:02:01-DRB1*15:01:01-DQB1*06:01:01 | | India Kerala Malayalam speaking | 0.7020 | | 356 |
|
292 | DQA1*03-DQB1*06:01 | | China, Xinjiang Uyghur Autonomous Region Uyghur | 0.7000 | | 71 |
|
293 | DQA1*05:01-DQB1*06:01 | | China, Xinjiang Uyghur Autonomous Region Uyghur | 0.7000 | | 71 |
|
294 | A*24:02:01-B*08:12:01-C*07:01:01-DRB1*15:02:01-DQB1*06:01:01 | | Mexico Hidalgo Mezquital Valley/ Otomi | 0.6944 | | 72 |
|
295 | A*11:01:01-B*40:01:02-C*07:02:01-DRB1*08:03:02-DQB1*06:01:01 | | China Zhejiang Han | 0.6932 | | 1,734 |
|
296 | A*02:07-B*46:01-C*01:02-DRB1*08:03-DQA1*01:03-DQB1*06:01-DPA1*02:02-DPB1*05:01 | | Japan pop 17 | 0.6800 | | 3,078 |
|
297 | A*02:07-B*46:01-C*01:02-DRB1*08:03-DQB1*06:01 | | USA Asian pop 2 | 0.6770 | | 1,772 |
|
298 | A*11:01-B*15:64-C*07:04-DRB1*15:01-DQB1*06:01 | | India Northeast UCBB | 0.6757 | | 296 |
|
299 | A*11:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01 | | India Northeast UCBB | 0.6757 | | 296 |
|
300 | A*11:01-B*07:02-C*07:01-DRB1*15:01-DQA1*05:05-DQB1*06:01 | | Brazil Puyanawa | 0.6667 | | 150 |
|
* 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).