Line |
Haplotype |
Population |
Frequency (%) |
Sample Size |
Distribution¹ |
201 | A*68:01-B*37:01-C*12:03-DRB1*10:01-DQB1*05:01 | | India North UCBB | 0.0307 | | 5,849 |
|
202 | A*01:01-B*37:01-C*06:02-DRB1*10:01-DRBX*NNNN-DQB1*05:01 | | USA NMDP African American pop 2 | 0.0303 | | 416,581 |
|
203 | A*32:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01 | | India West UCBB | 0.0302 | | 5,829 |
|
204 | A*01:01-B*37:01-C*06:02-DRB1*10:01-DQA1*01:05-DQB1*05:01-DPA1*01:03-DPB1*04:01 | | Japan pop 17 | 0.0300 | | 3,078 |
|
205 | A*01:01-B*37:01-C*06:02-DRB1*10:01-DQA1*01:05-DQB1*05:01-DPA1*02:01-DPB1*05:01 | | Japan pop 17 | 0.0300 | | 3,078 |
|
206 | A*02:01-B*37:01-C*06:02-DRB1*10:01-DQA1*01:05-DQB1*05:01-DPA1*01:03-DPB1*04:01 | | Japan pop 17 | 0.0300 | | 3,078 |
|
207 | A*02:06-B*37:01-C*06:02-DRB1*10:01-DQA1*01:05-DQB1*05:01-DPA1*02:02-DPB1*05:01 | | Japan pop 17 | 0.0300 | | 3,078 |
|
208 | A*24:02-B*37:01-C*06:02-DRB1*10:01-DQA1*01:05-DQB1*05:01-DPA1*02:01-DPB1*05:01 | | Japan pop 17 | 0.0300 | | 3,078 |
|
209 | A*31:01-B*37:01-C*06:02-DRB1*10:01-DQA1*01:05-DQB1*05:01-DPA1*01:03-DPB1*02:01 | | Japan pop 17 | 0.0300 | | 3,078 |
|
210 | A*02:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01 | | China Zhejiang Han | 0.0288 | | 1,734 |
|
211 | A*11:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01 | | India West UCBB | 0.0262 | | 5,829 |
|
212 | A*03:01-B*37:01-C*01:44-DRB1*10:01-DQB1*05:01 | | India West UCBB | 0.0257 | | 5,829 |
|
213 | A*01-B*37-DRB1*10-DQB1*05 | | Mexico Puebla, Puebla city | 0.0251 | | 1,994 |
|
214 | A*31:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01 | | India South UCBB | 0.0245 | | 11,446 |
|
215 | A*01:01-B*37:04-C*06:02-DRB1*10:01-DQB1*05:01 | | India Central UCBB | 0.0238 | | 4,204 |
|
216 | A*01:01-B*37:01-C*01:44-DRB1*10:01-DQB1*05:01 | | India South UCBB | 0.0232 | | 11,446 |
|
217 | A*30:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01 | | India South UCBB | 0.0212 | | 11,446 |
|
218 | A*02:11-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01 | | India East UCBB | 0.0211 | | 2,403 |
|
219 | A*02:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01 | | Germany DKMS - Turkey minority | 0.0210 | | 4,856 |
|
220 | A*03:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01 | | Germany DKMS - Turkey minority | 0.0210 | | 4,856 |
|
221 | A*01:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:03 | | India Tamil Nadu | 0.0209 | | 2,492 |
|
222 | A*02:05-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01 | | India East UCBB | 0.0208 | | 2,403 |
|
223 | A*02:08-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01 | | India East UCBB | 0.0208 | | 2,403 |
|
224 | A*11:01-B*37:78-C*06:02-DRB1*10:01-DQB1*05:01 | | India East UCBB | 0.0208 | | 2,403 |
|
225 | A*24:02-B*37:01-C*15:02-DRB1*10:01-DQB1*05:01 | | India East UCBB | 0.0208 | | 2,403 |
|
226 | A*24:07-B*37:01-C*06:60-DRB1*10:01-DQB1*05:01 | | India East UCBB | 0.0208 | | 2,403 |
|
227 | A*01:01-B*37:01-C*05:01-DRB1*10:01-DQB1*05:01 | | India Tamil Nadu | 0.0201 | | 2,492 |
|
228 | A*02:01-B*37:01-C*06:02-DRB1*10:03-DQB1*05:01 | | India Tamil Nadu | 0.0201 | | 2,492 |
|
229 | A*02:06-B*37:01-C*05:01-DRB1*10:01-DQB1*05:01 | | India Tamil Nadu | 0.0201 | | 2,492 |
|
230 | A*03:12-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01 | | India Tamil Nadu | 0.0201 | | 2,492 |
|
231 | A*24:02-B*37:01-C*01:02-DRB1*10:01-DQB1*05:01 | | India Tamil Nadu | 0.0201 | | 2,492 |
|
232 | A*29:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01 | | India Tamil Nadu | 0.0201 | | 2,492 |
|
233 | A*31-B*37-C*06-DRB1*10-DQB1*05-DPB1*02 | | Norway ethnic Norwegians | 0.0200 | | 4,510 |
|
234 | A*33:03-B*37:01-C*06:02-DRB1*10:02-DQB1*05:01 | | India Tamil Nadu | 0.0196 | | 2,492 |
|
235 | A*02:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01 | | Poland BMR | 0.0193 | | 23,595 |
|
236 | A*02:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01 | | India North UCBB | 0.0188 | | 5,849 |
|
237 | A*02:01-B*37:04-C*06:02-DRB1*10:01-DQB1*05:01 | | India South UCBB | 0.0175 | | 11,446 |
|
238 | A*03:01-B*37:01-C*01:02-DRB1*10:01-DQB1*05:01 | | India Tamil Nadu | 0.0174 | | 2,492 |
|
239 | A*31:01-B*37:01-C*01:44-DRB1*10:01-DQB1*05:01 | | India South UCBB | 0.0171 | | 11,446 |
|
240 | A*03:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01-DPB1*02:01 | | Germany DKMS - German donors | 0.0151 | | 3,456,066 |
|
241 | A*32:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01 | | Germany DKMS - Turkey minority | 0.0150 | | 4,856 |
|
242 | A*26:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01 | | Poland BMR | 0.0143 | | 23,595 |
|
243 | A*24:02:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01 | | Poland BMR | 0.0127 | | 23,595 |
|
244 | A*02:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01-DPB1*04:01 | | Germany DKMS - German donors | 0.0127 | | 3,456,066 |
|
245 | A*23:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01 | | India Central UCBB | 0.0121 | | 4,204 |
|
246 | A*02:20-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01 | | India Central UCBB | 0.0120 | | 4,204 |
|
247 | A*29:02-B*37:01-C*04:01-DRB1*10:01-DQB1*05:01 | | USA Hispanic pop 2 | 0.0120 | | 1,999 |
|
248 | A*31:01-B*37:01-C*04:01-DRB1*10:01-DQB1*05:01 | | USA Hispanic pop 2 | 0.0120 | | 1,999 |
|
249 | A*02:01-B*37:01-C*01:02-DRB1*10:01-DQB1*05:01 | | India Central UCBB | 0.0119 | | 4,204 |
|
250 | A*02:01-B*37:04-C*06:02-DRB1*10:01-DQB1*05:01 | | India Central UCBB | 0.0119 | | 4,204 |
|
251 | A*03:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01 | | India West UCBB | 0.0119 | | 5,829 |
|
252 | A*11:01-B*37:01-C*12:03-DRB1*10:01-DQB1*05:01 | | India Central UCBB | 0.0119 | | 4,204 |
|
253 | A*24:02-B*37:01-C*01:44-DRB1*10:01-DQB1*05:01 | | India Central UCBB | 0.0119 | | 4,204 |
|
254 | A*01:01-B*37:01-C*04:01-DRB1*10:01-DQB1*05:01 | | USA Asian pop 2 | 0.0110 | | 1,772 |
|
255 | A*68:01-B*37:01-C*04:01-DRB1*10:01-DQB1*05:01 | | USA Asian pop 2 | 0.0110 | | 1,772 |
|
256 | A*03:02-B*37:01-C*01:02-DRB1*10:01-DQB1*05:01 | | India Tamil Nadu | 0.0100 | | 2,492 |
|
257 | A*01-B*37-C*06-DRB1*10-DQB1*05-DPB1*20 | | Norway ethnic Norwegians | 0.0100 | | 4,510 |
|
258 | A*03:01-B*37:01-C*02:02-DRB1*10:01-DQB1*05:01 | | Germany DKMS - Turkey minority | 0.0100 | | 4,856 |
|
259 | A*03-B*37-C*06-DRB1*10-DQB1*05-DPB1*04 | | Norway ethnic Norwegians | 0.0100 | | 4,510 |
|
260 | A*11-B*37-C*06-DRB1*10-DQB1*05-DPB1*19 | | Norway ethnic Norwegians | 0.0100 | | 4,510 |
|
261 | A*24-B*37-C*06-DRB1*10-DQB1*05-DPB1*03 | | Norway ethnic Norwegians | 0.0100 | | 4,510 |
|
262 | A*26:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01 | | Germany DKMS - Turkey minority | 0.0100 | | 4,856 |
|
263 | A*32-B*37-C*06-DRB1*10-DQB1*05-DPB1*05 | | Norway ethnic Norwegians | 0.0100 | | 4,510 |
|
264 | A*68-B*37-C*06-DRB1*10-DQB1*05-DPB1*02 | | Norway ethnic Norwegians | 0.0100 | | 4,510 |
|
265 | A*68:01-B*37:01-C*12:03-DRB1*10:01-DQB1*05:01 | | India West UCBB | 0.0099 | | 5,829 |
|
266 | A*24:02-B*37:01-C*03:04-DRB1*10:01-DQB1*05:01 | | India West UCBB | 0.0090 | | 5,829 |
|
267 | A*24:07-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01 | | India West UCBB | 0.0090 | | 5,829 |
|
268 | A*29:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01 | | India West UCBB | 0.0089 | | 5,829 |
|
269 | A*02:06-B*37:01-C*01:44-DRB1*10:01-DQB1*05:01 | | India South UCBB | 0.0087 | | 11,446 |
|
270 | A*02:01-B*37:01-C*03:04-DRB1*10:01-DQB1*05:01 | | India West UCBB | 0.0086 | | 5,829 |
|
271 | A*02:20-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01 | | India West UCBB | 0.0086 | | 5,829 |
|
272 | A*11:01-B*37:01-C*15:02-DRB1*10:01-DQB1*05:01 | | India West UCBB | 0.0086 | | 5,829 |
|
273 | A*24:02-B*37:01-C*15:02-DRB1*10:01-DQB1*05:01 | | India North UCBB | 0.0086 | | 5,849 |
|
274 | A*24:02-B*37:01-C*16:02-DRB1*10:01-DQB1*05:02 | | India West UCBB | 0.0086 | | 5,829 |
|
275 | A*24:02-B*37:04-C*06:02-DRB1*10:01-DQB1*05:01 | | India West UCBB | 0.0086 | | 5,829 |
|
276 | A*24:33-B*37:01-C*12:04-DRB1*10:01-DQB1*05:01 | | India West UCBB | 0.0086 | | 5,829 |
|
277 | A*26:17-B*37:04-C*06:02-DRB1*10:01-DQB1*05:01 | | India West UCBB | 0.0086 | | 5,829 |
|
278 | A*30:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01 | | India West UCBB | 0.0086 | | 5,829 |
|
279 | A*31:01-B*37:01-C*01:44-DRB1*10:01-DQB1*05:01 | | India West UCBB | 0.0086 | | 5,829 |
|
280 | A*31:12-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01 | | India West UCBB | 0.0086 | | 5,829 |
|
281 | A*31:16-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01 | | India West UCBB | 0.0086 | | 5,829 |
|
282 | A*32:01-B*37:01-C*04:01-DRB1*10:01-DQB1*05:01 | | India North UCBB | 0.0086 | | 5,849 |
|
283 | A*32:01-B*37:01-C*15:02-DRB1*10:01-DQB1*05:01 | | India West UCBB | 0.0086 | | 5,829 |
|
284 | A*01:01-B*37:01-C*06:35-DRB1*10:01-DQB1*05:01 | | India North UCBB | 0.0085 | | 5,849 |
|
285 | A*01:01-B*37:01-C*07:06-DRB1*10:01-DQB1*05:01 | | India North UCBB | 0.0085 | | 5,849 |
|
286 | A*01:01-B*37:04-C*06:02-DRB1*10:01-DQB1*05:01 | | India North UCBB | 0.0085 | | 5,849 |
|
287 | A*02:05-B*37:01-C*12:03-DRB1*10:01-DQB1*05:01 | | India North UCBB | 0.0085 | | 5,849 |
|
288 | A*02:11-B*37:01-C*15:02-DRB1*10:01-DQB1*05:01 | | India North UCBB | 0.0085 | | 5,849 |
|
289 | A*11:01-B*37:01-C*07:04-DRB1*10:01-DQB1*05:01 | | India North UCBB | 0.0085 | | 5,849 |
|
290 | A*24:07-B*37:01-C*07:01-DRB1*10:01-DQB1*05:01 | | India North UCBB | 0.0085 | | 5,849 |
|
291 | A*26:01-B*37:01-C*07:06-DRB1*10:01-DQB1*05:01 | | India North UCBB | 0.0085 | | 5,849 |
|
292 | A*02:09-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01 | | India South UCBB | 0.0074 | | 11,446 |
|
293 | A*02:06-B*37:01-C*06:27-DRB1*10:01-DQB1*05:01 | | India North UCBB | 0.0068 | | 5,849 |
|
294 | A*24:02-B*37:01-C*06:02-DRB1*10:02-DQB1*05:01 | | India Tamil Nadu | 0.0064 | | 2,492 |
|
295 | A*11:01-B*37:01-C*01:44-DRB1*10:01-DQB1*05:01 | | India South UCBB | 0.0055 | | 11,446 |
|
296 | A*03:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01 | | Poland BMR | 0.0051 | | 23,595 |
|
297 | A*02:11-B*37:01-C*01:44-DRB1*10:01-DQB1*05:01 | | India South UCBB | 0.0048 | | 11,446 |
|
298 | A*24:02-B*37:01-C*12:02-DRB1*10:01-DQB1*05:01 | | India South UCBB | 0.0047 | | 11,446 |
|
299 | A*02:01-B*37:01-C*07:02-DRB1*10:01-DQB1*05:01 | | India South UCBB | 0.0044 | | 11,446 |
|
300 | A*02:01-B*37:01-C*07:04-DRB1*10:01-DQB1*05:01 | | India South UCBB | 0.0044 | | 11,446 |
|
* 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).