Line |
Haplotype |
Population |
Frequency (%) |
Sample Size |
Distribution¹ |
101 | A*31:01-B*40:02-C*04:01-DRB1*13:02-DQA1*01:02-DQB1*06:04 | | Mexico Tixcacaltuyub Maya | 0.7463 | | 67 |
|
102 | A*01:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04 | | Italy pop 5 | 0.7400 | | 975 |
|
103 | A*68-B*53-DRB1*13:02-DQB1*06:04 | | Bolivia Quechua | 0.7200 | | 69 |
|
104 | A*66:01:01-B*41:02:01-C*17:01:01-DRB1*13:02:01-DQB1*06:04:01 | | Mexico Hidalgo Mezquital Valley/ Otomi | 0.6944 | | 72 |
|
105 | A*02:01-B*40:01-C*03:04-DRB1*13:02-DQB1*06:04 | | USA NMDP American Indian South or Central America | 0.6902 | | 5,926 |
|
106 | A*02:01:01-B*15:17:01-C*07:01:01-DRB1*13:02:01-DQB1*06:04 | | Costa Rica Central Valley Mestizo (G) | 0.6787 | | 221 |
|
107 | A*01:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04 | | India Northeast UCBB | 0.6757 | | 296 |
|
108 | A*33:03-B*44:03-C*14:03-DRB1*13:02-DQB1*06:04 | | USA Asian pop 2 | 0.6670 | | 1,772 |
|
109 | DRB1*13:02-DQB1*06:04-DMB*01:01 | | Ecuadorean Amerindians | 0.6667 | | 75 |
|
110 | DRB1*13:02-DQB1*06:04-DMB*01:03 | | Ecuadorean Amerindians | 0.6667 | | 75 |
|
111 | A*02:01:01-B*40:01:02-C*03:04:01-DRB1*13:02:01-DQA1*01:03:01-DQB1*06:04:01-DPA1*01:03:01-DPB1*02:01:02 | | Russia Belgorod region | 0.6536 | | 153 |
|
112 | B*49:01-C*07:01-DRB1*13:02-DQB1*06:04 | | Mexico Mexico City Mestizo pop 2 | 0.6400 | | 234 |
|
113 | A*01:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04 | | India North UCBB | 0.6394 | | 5,849 |
|
114 | A*31:04-B*35:01-C*15:05-DRB1*13:02-DQB1*06:04-DPB1*02:01 | | Tanzania Maasai | 0.6390 | | 336 |
|
115 | A*68:01:02-B*44:02:01-C*07:04:01-DRB1*13:02:01-DQB1*06:04:01-DPA1*01:03:01-DPB1*105:01:01 | | Brazil Barra Mansa Rio State Caucasian | 0.6250 | | 405 |
|
116 | A*02:01-B*40:01-C*03:04-DRB1*13:02-DRB3*03:01-DQB1*06:04 | | USA NMDP North American Amerindian | 0.6210 | | 35,791 |
|
117 | A*23:01-B*49:01-DRB1*13:02-DQB1*06:04 | | Mexico Veracruz Xalapa | 0.5952 | | 84 |
|
118 | DRB1*13:02-DQA1*03:01-DQB1*06:04 | | Spain Las Alpujarras | 0.5900 | | 85 |
|
119 | A*30:02:01-B*13:02:01-C*08:04:01-DRB1*13:02:01-DQB1*06:04:01-DPA1*01:03:01-DPB1*02:01:19 | | Brazil Rio de Janeiro Parda | 0.5882 | | 170 |
|
120 | A*29:02:01-B*35:01:01-C*16:01:01-DRB1*13:02:01-DQB1*06:04:01-DPA1*01:03:01-DPB1*04:01:01 | | Brazil Rio de Janeiro Parda | 0.5882 | | 170 |
|
121 | A*26:01:01-B*07:02:01-C*07:02:01-DRB1*13:02:01-DQB1*06:04:01-DPA1*01:03:01-DPB1*04:01:01 | | Brazil Rio de Janeiro Caucasian | 0.5837 | | 521 |
|
122 | A*01:01-B*15:17-C*07:01-DRB1*13:02-DRB3*03:01-DQB1*06:04 | | USA NMDP South Asian Indian | 0.5786 | | 185,391 |
|
123 | A*33:03:01-B*44:03:01-C*14:03:01-DRB1*13:02:01-DQB1*06:04:01 | | China Zhejiang Han | 0.5767 | | 1,734 |
|
124 | A*02-B*49-DRB1*13:02-DQB1*06:04 | | Bolivia La Paz Aymaras | 0.5750 | | 87 |
|
125 | DRB1*13:02:01-DQB1*06:04-DPB1*04:01:01 | | China Inner Mongolia Autonomous Region Northeast | 0.5730 | | 496 |
|
126 | A*01:01:01-B*15:17:01-C*07:01:01-DRB1*13:02:01-DQB1*06:04:01 | | India Kerala Malayalam speaking | 0.5620 | | 356 |
|
127 | A*02:05-B*50:01-C*06:02-DRB1*13:02-DQB1*06:04 | | USA NMDP Caribean Indian | 0.5605 | | 14,339 |
|
128 | A*01:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04 | | India East UCBB | 0.5599 | | 2,403 |
|
129 | A*01:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04 | | Malaysia Peninsular Indian | 0.5535 | | 271 |
|
130 | A*01:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04 | | India West UCBB | 0.5259 | | 5,829 |
|
131 | A*33:03-B*44:03-C*14:03-DRB1*13:02-DQA1*01:02-DQB1*06:04-DPB1*05:01 | | USA San Diego | 0.5210 | | 496 |
|
132 | A*01:01-B*35:01-DRB1*13:02-DQB1*06:04 | | Iran Tabriz Azeris | 0.5155 | | 97 |
|
133 | A*02:01-B*40:01-C*03:04-DRB1*13:02-DQB1*06:04-DPB1*03:01 | | Germany DKMS - German donors | 0.5149 | | 3,456,066 |
|
134 | A*02:01-B*40:01-C*03:04-DRB1*13:02:01-DQB1*06:04 | | England North West | 0.5000 | | 298 |
|
135 | A*01:01:01-B*15:17:01-C*07:01:02-DRB1*13:02:01-DQB1*06:04:01 | | Vietnam Kinh | 0.4950 | | 101 |
|
136 | A*24:02-B*35:01-DRB1*13:02-DQB1*06:04 | | Peru Titikaka Lake Uros | 0.4800 | | 105 |
|
137 | A*74:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04-DPB1*01:01 | | Tanzania Maasai | 0.4792 | | 336 |
|
138 | A*33:03-B*44:03-C*14:03-DRB1*13:02-DQA1*01:02-DQB1*06:04-DPA1*02:02-DPB1*02:01 | | Japan pop 17 | 0.4600 | | 3,078 |
|
139 | A*02:01:01-B*40:01:02-C*03:04:01-DRB1*13:02:01-DQB1*06:04:01 | | Poland BMR | 0.4496 | | 23,595 |
|
140 | A*01:01-B*13:02-C*04:01-E*01:01:01-F*01:01:01-G*01:06-DRB1*13:02:01-DQA1*01:02-DQB1*06:04:01 | | Portugal Azores Terceira Island | 0.4386 | | 130 |
|
141 | A*03:01-B*50:01-C*06:02-E*01:01:01-F*01:03:01-G*01:04-DRB1*13:02-DQA1*04:01-DQB1*06:04:01 | | Portugal Azores Terceira Island | 0.4386 | | 130 |
|
142 | A*24:02-B*15:17-C*07:01-E*01:03:01-F*01:01:01-G*01:04-DRB1*13:02:01-DQA1*01:02-DQB1*06:04:01 | | Portugal Azores Terceira Island | 0.4386 | | 130 |
|
143 | A*01:01-B*15:17-C*07:01-DRB1*13:02-DRB3*03:01-DQB1*06:04 | | USA NMDP Southeast Asian | 0.4340 | | 27,978 |
|
144 | A*02:01-B*40:01-C*03:04-DRB1*13:02-DQA1*01:02-DQB1*06:04-DPB1*03:01 | | Nicaragua Managua | 0.4329 | | 339 |
|
145 | A*02:01:01:01-B*40:01:02-C*03:04:01:01-DRB1*13:02:01-DQB1*06:04:01 | | Russia Nizhny Novgorod, Russians | 0.4272 | | 1,510 |
|
146 | A*01:01:01-B*08:01:01-C*07:01:01-DRB1*13:02:01-DQA1*01:02:01-DQB1*06:04:01-DPA1*01:03:01-DPB1*03:01 | | Russian Federation Vologda Region | 0.4202 | | 119 |
|
147 | A*03:01:01-B*07:02:01-C*07:02:01-DRB1*13:02:01-DQA1*01:02:01-DQB1*06:04:01-DPA1*01:03:01-DPB1*04:01 | | Russian Federation Vologda Region | 0.4202 | | 119 |
|
148 | A*68:01:01-B*40:01:02-C*03:04:01-DRB1*13:02:01-DQA1*01:02:01-DQB1*06:04:01-DPA1*01:03:01-DPB1*02:01 | | Russian Federation Vologda Region | 0.4202 | | 119 |
|
149 | A*01:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04 | | India South UCBB | 0.4176 | | 11,446 |
|
150 | A*01:01:01:01-B*35:03:01-C*04:01:01-DRB1*13:02:01-DQB1*06:04:01 | | Russia Bashkortostan, Bashkirs | 0.4167 | | 120 |
|
151 | A*02:01:01-B*38:01:01-C*12:03:01:01-DRB1*13:02:01-DQB1*06:04 | | Russia Bashkortostan, Bashkirs | 0.4167 | | 120 |
|
152 | A*26:01:01-B*50:01:01-C*02:02:02:01-DRB1*13:02:01-DQB1*06:04:01 | | Russia Bashkortostan, Bashkirs | 0.4167 | | 120 |
|
153 | A*30:01:01-B*15:10:01-C*03:04:02-DRB1*13:02:01-DQB1*06:04 | | Russia Bashkortostan, Bashkirs | 0.4167 | | 120 |
|
154 | A*68:02-B*53:01-C*04:01-DRB1*13:02-DQB1*06:04 | | Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, | 0.4100 | | 4,335 |
|
155 | A*01:01-B*57:01-C*15:02-DRB1*13:02-DQA1*01:02-DQB1*06:04 | | Kosovo | 0.4030 | | 124 |
|
156 | A*02:01-B*14:01-C*08:02-DRB1*13:02-DQA1*03:03-DQB1*06:04 | | Kosovo | 0.4030 | | 124 |
|
157 | A*02:01-B*38:01-C*12:03-DRB1*13:02-DQA1*01:02-DQB1*06:04 | | Kosovo | 0.4030 | | 124 |
|
158 | A*02:01-B*39:01-C*06:02-DRB1*13:02-DQA1*01:02-DQB1*06:04 | | Kosovo | 0.4030 | | 124 |
|
159 | A*02:01-B*40:02-C*02:02-DRB1*13:02-DQA1*01:02-DQB1*06:04 | | Kosovo | 0.4030 | | 124 |
|
160 | A*68:01-B*51:01-C*12:03-DRB1*13:02-DQA1*01:02-DQB1*06:04 | | Kosovo | 0.4030 | | 124 |
|
161 | DRB1*13:02:01-DQB1*06:04-DPB1*04:02:01 | | China Inner Mongolia Autonomous Region Northeast | 0.3920 | | 496 |
|
162 | A*02-B*15-DRB1*13:02-DQA1*01:02-DQB1*06:04 | | Brazil Paraná Caucasian | 0.3900 | | 641 |
|
163 | A*33:03-B*44:03-C*14:03-DRB1*13:02-DQA1*01:02-DQB1*06:04-DPA1*01:03-DPB1*02:01 | | Japan pop 17 | 0.3900 | | 3,078 |
|
164 | A*02:01:01-B*35:01:01-C*04:01:01-DRB1*13:02:01-DQB1*06:04:01-DPA1*01:03:01-DPB1*04:01:01 | | Brazil Rio de Janeiro Caucasian | 0.3891 | | 521 |
|
165 | A*23:01:01-B*40:01:02-C*03:04:01-DRB1*13:02:01-DQB1*06:04:01-DPA1*01:03:01-DPB1*03:01:01 | | Brazil Rio de Janeiro Caucasian | 0.3891 | | 521 |
|
166 | A*02:01-B*40:01-C*03:04-DRB1*13:02-DQB1*06:04 | | Germany DKMS - Italy minority | 0.3880 | | 1,159 |
|
167 | A*01:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04 | | India Tamil Nadu | 0.3869 | | 2,492 |
|
168 | A*02:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04-DPB1*02:01 | | Panama | 0.3800 | | 462 |
|
169 | DRB1*13:02-DQB1*06:04-DPB1*17:01 | | Gambia pop 3 | 0.3766 | | 939 |
|
170 | A*02:05-B*50:01-C*06:02-DRB1*13:02-DQB1*06:04 | | Malaysia Peninsular Indian | 0.3690 | | 271 |
|
171 | A*33:03-B*44:03-C*14:03-DRB1*13:02-DQA1*01:02-DQB1*06:04-DPA1*02:02-DPB1*05:01 | | Japan pop 17 | 0.3600 | | 3,078 |
|
172 | A*01:01-B*15:17-C*07:01-DRB1*13:02-DRB3*03:01-DQB1*06:04 | | USA NMDP Middle Eastern or North Coast of Africa | 0.3597 | | 70,890 |
|
173 | A*02:05:01-B*81:01-C*06:02:01-DRB1*13:02:01-DQB1*06:04:01-DPB1*01:01:01 | | South African Black | 0.3520 | | 142 |
|
174 | A*68:01:01-B*58:02:01-C*06:02:01-DRB1*13:02:01-DQB1*06:04:01-DPB1*01:01:01 | | South African Black | 0.3520 | | 142 |
|
175 | A*68:02:01-B*42:01:01-C*04:01:01-DRB1*13:02:01-DQB1*06:04:01-DPB1*105:01:01 | | South African Black | 0.3520 | | 142 |
|
176 | A*01:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04 | | Mexico Mexico City Mestizo population | 0.3497 | | 143 |
|
177 | B*15:17-C*07:01-DRB1*13:02-DQB1*06:04 | | Mexico Mexico City Mestizo population | 0.3497 | | 143 |
|
178 | DRB1*13:02-DQB1*06:04 | | Mexico Mexico City Mestizo population | 0.3497 | | 143 |
|
179 | A*68:01-B*40:01-C*03:04-DRB1*13:02-DQB1*06:04-DPB1*04:01 | | Russia Karelia | 0.3387 | | 1,075 |
|
180 | A*02:01-B*53:05-C*04:01-DRB1*13:02-DQA1*01:02-DQB1*06:04 | | Brazil Puyanawa | 0.3333 | | 150 |
|
181 | A*23:01-B*15:17-C*07:01-DRB1*13:02-DQA1*01:02-DQB1*06:04 | | Brazil Puyanawa | 0.3333 | | 150 |
|
182 | A*02:01:01-B*51:01:01-C*15:05:01-DRB1*13:02:01-DQA1*01:02:01-DQB1*06:04:01-DPA1*01:03:01-DPB1*03:01 | | Russia Belgorod region | 0.3268 | | 153 |
|
183 | A*11:01:01-B*08:01:01-C*07:01:01-DRB1*13:02:01-DQA1*01:02:01-DQB1*06:04:01-DPA1*01:03:01-DPB1*02:01:02 | | Russia Belgorod region | 0.3268 | | 153 |
|
184 | A*24:02:01-B*07:02:01-C*07:01:02-DRB1*13:02:01-DQA1*01:02:01-DQB1*06:04:01-DPA1*01:03:01-DPB1*04:02:01 | | Russia Belgorod region | 0.3268 | | 153 |
|
185 | A*68:01:02-B*08:01:01-C*07:01:01-DRB1*13:02:01-DQA1*01:02:01-DQB1*06:04:01-DPA1*01:03:01-DPB1*02:01:02 | | Russia Belgorod region | 0.3268 | | 153 |
|
186 | A*01:01-B*41:01-C*17:01-DRB1*13:02-DQB1*06:04-DPB1*04:01 | | Tanzania Maasai | 0.3195 | | 336 |
|
187 | A*29:02-B*08:01-C*17:01-DRB1*13:02-DQB1*06:04-DPB1*03:01 | | Tanzania Maasai | 0.3195 | | 336 |
|
188 | A*68:02-B*39:24-C*07:01-DRB1*13:02-DQB1*06:04-DPB1*04:02 | | Tanzania Maasai | 0.3195 | | 336 |
|
189 | A*68:02-B*53:01-C*06:02-DRB1*13:02-DQB1*06:04-DPB1*55:01 | | Tanzania Maasai | 0.3195 | | 336 |
|
190 | DRB1*13:02:01-DQB1*06:04-DPB1*05:01:01 | | China Inner Mongolia Autonomous Region Northeast | 0.3150 | | 496 |
|
191 | A*01:01:01-B*35:03:01-C*15:02:01-DRB1*13:02:01-DQB1*06:04:01-DPA1*01:03:01-DPB1*04:01:01 | | Brazil Barra Mansa Rio State Caucasian | 0.3125 | | 405 |
|
192 | A*02:01:01-B*40:01:02-C*03:04:01-DRB1*13:02:01-DQB1*06:04:01-DPA1*01:03:01-DPB1*02:01:02 | | Brazil Barra Mansa Rio State Caucasian | 0.3125 | | 405 |
|
193 | A*02:01:01-B*44:02:01-C*05:01:01-DRB1*13:02:01-DQB1*06:04:01-DPA1*01:03:01-DPB1*02:01:02 | | Brazil Barra Mansa Rio State Caucasian | 0.3125 | | 405 |
|
194 | A*03:01:01-B*40:01:02-C*03:04:01-DRB1*13:02:01-DQB1*06:04:01-DPA1*01:03:01-DPB1*04:01:01 | | Brazil Barra Mansa Rio State Caucasian | 0.3125 | | 405 |
|
195 | A*03:01:01-B*50:01:01-C*06:02:01-DRB1*13:02:01-DQB1*06:04:01-DPA1*01:03:01-DPB1*02:01:02 | | Brazil Barra Mansa Rio State Caucasian | 0.3125 | | 405 |
|
196 | A*03:01:01-B*57:01:01-C*06:02:01-DRB1*13:02:01-DQB1*06:04:01-DPA1*02:01:04-DPB1*13:01:01 | | Brazil Barra Mansa Rio State Caucasian | 0.3125 | | 405 |
|
197 | A*11:01:01-B*35:01:01-C*15:02:01-DRB1*13:02:01-DQB1*06:04:01-DPA1*01:03:01-DPB1*03:01:01 | | Brazil Barra Mansa Rio State Caucasian | 0.3125 | | 405 |
|
198 | A*23:01:01-B*49:01:01-C*07:01:01-DRB1*13:02:01-DQB1*06:04:01-DPA1*01:03:01-DPB1*04:01:01 | | Brazil Barra Mansa Rio State Caucasian | 0.3125 | | 405 |
|
199 | A*23:01:01-B*49:01:01-C*07:01:01-DRB1*13:02:01-DQB1*06:04:01-DPA1*02:01:01-DPB1*11:01:01 | | Brazil Barra Mansa Rio State Caucasian | 0.3125 | | 405 |
|
200 | A*23:17:01-B*35:08:01-C*04:01:01-DRB1*13:02:01-DQB1*06:04:01-DPA1*01:03:01-DPB1*104:01:01 | | Brazil Barra Mansa Rio State Caucasian | 0.3125 | | 405 |
|
* 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).