Line |
Haplotype |
Population |
Frequency (%) |
Sample Size |
Distribution¹ |
101 | A*01:01-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01 | | India Tamil Nadu | 0.0557 | | 2,492 |
|
102 | A*01:01-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01 | | Iran Gorgan | 1.5600 | | 64 |
|
103 | A*01:01-B*35:01-C*04:01-DRB1*04:01 | | Poland DKMS | 0.0107 | | 20,653 |
|
104 | A*01:01-B*35:01-C*04:01-DRB1*04:02-DQB1*03:02 | | Germany DKMS - Turkey minority | 0.1090 | | 4,856 |
|
105 | A*01:01-B*35:01-C*04:01-DRB1*04:02-DQB1*03:02 | | Germany DKMS - Italy minority | 0.0430 | | 1,159 |
|
106 | A*01:01-B*35:01-C*04:01-DRB1*04:03-DQB1*03:02 | | India Tamil Nadu | 0.0245 | | 2,492 |
|
107 | A*01:01-B*35:01-C*04:01-DRB1*04:04 | | Germany DKMS - Romania minority | 0.0410 | | 1,234 |
|
108 | A*01:01-B*35:01-C*04:01-DRB1*04:04 | | Germany DKMS - Croatia minority | 0.0460 | | 2,057 |
|
109 | A*01:01-B*35:01-C*04:01-DRB1*04:04-DQB1*04:02 | | India Tamil Nadu | 0.0621 | | 2,492 |
|
110 | A*01:01-B*35:01-C*04:01-DRB1*04:05 | | Poland DKMS | 0.0024 | | 20,653 |
|
111 | A*01:01-B*35:01-C*04:01-DRB1*04:05-DQB1*04:02 | | Colombia Bogotá Cord Blood | 0.0684 | | 1,463 |
|
112 | A*01:01-B*35:01-C*04:01-DRB1*04:07 | | Germany DKMS - Netherlands minority | 0.0730 | | 1,374 |
|
113 | A*01:01-B*35:01-C*04:01-DRB1*04:07 | | Poland DKMS | 0.0072 | | 20,653 |
|
114 | A*01:01-B*35:01-C*04:01-DRB1*07:01 | | Germany DKMS - United Kingdom minority | 0.0480 | | 1,043 |
|
115 | A*01:01-B*35:01-C*04:01-DRB1*07:01 | | Germany DKMS - Austria minority | 0.0630 | | 1,698 |
|
116 | A*01:01-B*35:01-C*04:01-DRB1*07:01 | | Poland DKMS | 0.0217 | | 20,653 |
|
117 | A*01:01-B*35:01-C*04:01-DRB1*07:01-DQB1*02:01 | | Germany DKMS - Italy minority | 0.0430 | | 1,159 |
|
118 | A*01:01-B*35:01-C*04:01-DRB1*07:01-DQB1*02:02 | | India UCBB_Central Indian HLA | 0.0256 | | 4,204 |
|
119 | A*01:01-B*35:01-C*04:01-DRB1*07:01-DQB1*03:03 | | Germany DKMS - Turkey minority | 0.0100 | | 4,856 |
|
120 | A*01:01-B*35:01-C*04:01-DRB1*07:14-DQB1*05:03 | | India Tamil Nadu | 0.0100 | | 2,492 |
|
121 | A*01:01-B*35:01-C*04:01-DRB1*08:01 | | Italy pop 5 | 0.1000 | | 975 |
|
122 | A*01:01-B*35:01-C*04:01-DRB1*08:01-DQB1*04:02 | | India UCBB_Central Indian HLA | 0.0119 | | 4,204 |
|
123 | A*01:01-B*35:01-C*04:01-DRB1*08:01-DQB1*04:02 | | Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, | 0.0340 | | 4,335 |
|
124 | A*01:01-B*35:01-C*04:01-DRB1*08:02 | | Hong Kong Chinese BMDR | 0.0066 | | 7,595 |
|
125 | A*01:01-B*35:01-C*04:01-DRB1*08:03 | | Germany DKMS - United Kingdom minority | 0.0480 | | 1,043 |
|
126 | A*01:01-B*35:01-C*04:01-DRB1*08:03 | | Poland DKMS | 0.0024 | | 20,653 |
|
127 | A*01:01-B*35:01-C*04:01-DRB1*09:01-DQB1*03:03 | | India Tamil Nadu | 0.0201 | | 2,492 |
|
128 | A*01:01-B*35:01-C*04:01-DRB1*09:01-DQB1*03:03 | | India UCBB_Central Indian HLA | 0.0125 | | 4,204 |
|
129 | A*01:01-B*35:01-C*04:01-DRB1*10:01 | | Germany DKMS - Austria minority | 0.0290 | | 1,698 |
|
130 | A*01:01-B*35:01-C*04:01-DRB1*10:01 | | Poland DKMS | 0.0037 | | 20,653 |
|
131 | A*01:01-B*35:01-C*04:01-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*02:01 | | Sri Lanka Colombo | 0.2101 | | 714 |
|
132 | A*01:01-B*35:01-C*04:01-DRB1*10:01-DQB1*05:01 | | India Tamil Nadu | 0.0229 | | 2,492 |
|
133 | A*01:01-B*35:01-C*04:01-DRB1*10:01-DQB1*05:01 | | India UCBB_Central Indian HLA | 0.0301 | | 4,204 |
|
134 | A*01:01-B*35:01-C*04:01-DRB1*10:02-DQB1*05:01 | | Malaysia Peninsular Indian | 0.1845 | | 271 |
|
135 | A*01:01-B*35:01-C*04:01-DRB1*11:01 | | Germany DKMS - Romania minority | 0.0410 | | 1,234 |
|
136 | A*01:01-B*35:01-C*04:01-DRB1*11:01 | | Germany DKMS - Spain minority | 0.0480 | | 1,107 |
|
137 | A*01:01-B*35:01-C*04:01-DRB1*11:01 | | Germany DKMS - Bosnia and Herzegovina minority | 0.0970 | | 1,028 |
|
138 | A*01:01-B*35:01-C*04:01-DRB1*11:01 | | Germany DKMS - Greece minority | 0.0720 | | 1,894 |
|
139 | A*01:01-B*35:01-C*04:01-DRB1*11:01 | | Germany DKMS - Netherlands minority | 0.0380 | | 1,374 |
|
140 | A*01:01-B*35:01-C*04:01-DRB1*11:01 | | Germany DKMS - Croatia minority | 0.0380 | | 2,057 |
|
141 | A*01:01-B*35:01-C*04:01-DRB1*11:01 | | Poland DKMS | 0.0052 | | 20,653 |
|
142 | A*01:01-B*35:01-C*04:01-DRB1*11:01-DQA1*05:01-DQB1*03:01-DPB1*04:01 | | Sri Lanka Colombo | 0.1401 | | 714 |
|
143 | A*01:01-B*35:01-C*04:01-DRB1*11:01-DQB1*03:01 | | Germany DKMS - Turkey minority | 0.0210 | | 4,856 |
|
144 | A*01:01-B*35:01-C*04:01-DRB1*11:01-DQB1*03:01 | | Germany DKMS - Italy minority | 0.3450 | | 1,159 |
|
145 | A*01:01-B*35:01-C*04:01-DRB1*11:01-DQB1*03:01 | | India Tamil Nadu | 0.0834 | | 2,492 |
|
146 | A*01:01-B*35:01-C*04:01-DRB1*11:01-DQB1*03:01 | | India UCBB_Central Indian HLA | 0.0613 | | 4,204 |
|
147 | A*01:01-B*35:01-C*04:01-DRB1*11:01-DQB1*03:01 | | USA Hispanic pop 2 | 0.0940 | | 1,999 |
|
148 | A*01:01-B*35:01-C*04:01-DRB1*11:01-DQB1*03:01 | | USA African American pop 4 | 0.0440 | | 2,411 |
|
149 | A*01:01-B*35:01-C*04:01-DRB1*11:01-DQB1*05:01 | | Colombia Bogotá Cord Blood | 0.0342 | | 1,463 |
|
150 | A*01:01-B*35:01-C*04:01-DRB1*11:03 | | Poland DKMS | 0.0074 | | 20,653 |
|
151 | A*01:01-B*35:01-C*04:01-DRB1*11:04 | | Poland DKMS | 0.0026 | | 20,653 |
|
152 | A*01:01-B*35:01-C*04:01-DRB1*11:04-DQB1*05:02 | | Italy pop 5 | 0.1400 | | 975 |
|
153 | A*01:01-B*35:01-C*04:01-DRB1*12:01 | | Germany DKMS - Bosnia and Herzegovina minority | 0.0490 | | 1,028 |
|
154 | A*01:01-B*35:01-C*04:01-DRB1*13:01 | | Germany DKMS - Spain minority | 0.1360 | | 1,107 |
|
155 | A*01:01-B*35:01-C*04:01-DRB1*13:01 | | Germany DKMS - China minority | 0.0390 | | 1,282 |
|
156 | A*01:01-B*35:01-C*04:01-DRB1*13:01 | | Germany DKMS - France minority | 0.0360 | | 1,406 |
|
157 | A*01:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03 | | India Tamil Nadu | 0.0767 | | 2,492 |
|
158 | A*01:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03 | | India UCBB_Central Indian HLA | 0.0267 | | 4,204 |
|
159 | A*01:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03 | | Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, | 0.0340 | | 4,335 |
|
160 | A*01:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03-DPB1*04:01 | | Russia Karelia | 0.0567 | | 1,075 |
|
161 | A*01:01-B*35:01-C*04:01-DRB1*13:02 | | Germany DKMS - Croatia minority | 0.0270 | | 2,057 |
|
162 | A*01:01-B*35:01-C*04:01-DRB1*13:02-DQB1*06:04 | | Germany DKMS - Italy minority | 0.0430 | | 1,159 |
|
163 | A*01:01-B*35:01-C*04:01-DRB1*13:03 | | Poland DKMS | 0.0025 | | 20,653 |
|
164 | A*01:01-B*35:01-C*04:01-DRB1*13:05-DQB1*03:01 | | Colombia Bogotá Cord Blood | 0.0342 | | 1,463 |
|
165 | A*01:01-B*35:01-C*04:01-DRB1*14:01 | | Germany DKMS - France minority | 0.1140 | | 1,406 |
|
166 | A*01:01-B*35:01-C*04:01-DRB1*14:01 | | Poland DKMS | 0.0388 | | 20,653 |
|
167 | A*01:01-B*35:01-C*04:01-DRB1*14:01-DQB1*05:03 | | Colombia Bogotá Cord Blood | 0.0342 | | 1,463 |
|
168 | A*01:01-B*35:01-C*04:01-DRB1*14:01-DQB1*05:03 | | Germany DKMS - Turkey minority | 0.1670 | | 4,856 |
|
169 | A*01:01-B*35:01-C*04:01-DRB1*14:01-DQB1*05:03 | | USA Asian pop 2 | 0.0440 | | 1,772 |
|
170 | A*01:01-B*35:01-C*04:01-DRB1*14:01-DQB1*05:03-DPB1*04:01 | | Germany DKMS - German donors | 0.0156 | | 3,456,066 |
|
171 | A*01:01-B*35:01-C*04:01-DRB1*14:04-DQB1*05:03 | | India UCBB_Central Indian HLA | 0.0194 | | 4,204 |
|
172 | A*01:01-B*35:01-C*04:01-DRB1*14:54-DQB1*05:03 | | India UCBB_Central Indian HLA | 0.0460 | | 4,204 |
|
173 | A*01:01-B*35:01-C*04:01-DRB1*15:01 | | Germany DKMS - France minority | 0.0360 | | 1,406 |
|
174 | A*01:01-B*35:01-C*04:01-DRB1*15:01 | | Germany DKMS - Spain minority | 0.0900 | | 1,107 |
|
175 | A*01:01-B*35:01-C*04:01-DRB1*15:01 | | Germany DKMS - Croatia minority | 0.0490 | | 2,057 |
|
176 | A*01:01-B*35:01-C*04:01-DRB1*15:01 | | Poland DKMS | 0.0045 | | 20,653 |
|
177 | A*01:01-B*35:01-C*04:01-DRB1*15:01-DQB1*05:02 | | USA Hispanic pop 2 | 0.0470 | | 1,999 |
|
178 | A*01:01-B*35:01-C*04:01-DRB1*15:02-DQB1*06:01 | | India Tamil Nadu | 0.0177 | | 2,492 |
|
179 | A*01:01-B*35:01-C*04:01-DRB1*15:02-DQB1*06:01 | | India UCBB_Central Indian HLA | 0.0269 | | 4,204 |
|
180 | A*01:01-B*35:01-C*04:01-DRB1*15:06-DQB1*05:02 | | India UCBB_Central Indian HLA | 0.0344 | | 4,204 |
|
181 | A*01:01-B*35:01-C*04:01-DRB1*16:01 | | Germany DKMS - Austria minority | 0.0290 | | 1,698 |
|
182 | A*01:01-B*35:01-C*04:01-DRB1*16:01 | | Italy pop 5 | 0.1000 | | 975 |
|
183 | A*01:01-B*35:01-C*04:01-DRB1*16:01 | | Poland DKMS | 0.0052 | | 20,653 |
|
184 | A*01:01-B*35:01-C*04:07-DRB1*15:01-DQB1*05:01-DPB1*04:01 | | Panama | 0.1900 | | 462 |
|
185 | A*01:01-B*35:01-C*05:01-DRB1*13:01 | | Poland DKMS | 0.0025 | | 20,653 |
|
186 | A*01:01-B*35:01-C*06:02-DRB1*01:01 | | Germany DKMS - Portugal minority | 0.0430 | | 1,176 |
|
187 | A*01:01-B*35:01-C*06:02-DRB1*03:01 | | Germany DKMS - France minority | 0.0360 | | 1,406 |
|
188 | A*01:01-B*35:01-C*06:02-DRB1*03:01-DQB1*02:01 | | Mexico Mexico City Mestizo population | 0.3497 | | 143 |
|
189 | A*01:01-B*35:01-C*06:02-DRB1*07:01 | | Poland DKMS | 0.0024 | | 20,653 |
|
190 | A*01:01-B*35:01-C*06:02-DRB1*11:01 | | Germany DKMS - Greece minority | 0.0260 | | 1,894 |
|
191 | A*01:01-B*35:01-C*06:02-DRB1*13:01 | | Germany DKMS - Portugal minority | 0.0430 | | 1,176 |
|
192 | A*01:01-B*35:01-C*06:02-DRB1*14:01 | | Poland DKMS | 0.0024 | | 20,653 |
|
193 | A*01:01-B*35:01-C*06:02-DRB1*14:04-DQB1*05:03 | | Malaysia Peninsular Malay | 0.0526 | | 951 |
|
194 | A*01:01-B*35:01-C*06:02-DRB1*15:01 | | Germany DKMS - France minority | 0.0360 | | 1,406 |
|
195 | A*01:01-B*35:01-C*07:01-DRB1*13:02-DQB1*06:04 | | Germany DKMS - Italy minority | 0.0430 | | 1,159 |
|
196 | A*01:01-B*35:01-C*07:02-DRB1*13:03-DQA1*05:01-DQB1*03:01-DPB1*04:02 | | Nicaragua Managua | 0.2165 | | 339 |
|
197 | A*01:01-B*35:01-C*07:02-DRB1*15:01-DQB1*06:01 | | Malaysia Peninsular Indian | 0.1845 | | 271 |
|
198 | A*01:01-B*35:01-C*08:01-DRB1*09:01 | | Japan pop 16 | 0.0050 | | 18,604 |
|
199 | A*01:01-B*35:01-C*12:03-DRB1*04:03-DQB1*03:02 | | India Tamil Nadu | 0.0201 | | 2,492 |
|
200 | A*01:01-B*35:01-C*12:03-DRB1*07:01-DQB1*03:03 | | Malaysia Peninsular Malay | 0.0526 | | 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).