Line |
Haplotype |
Population |
Frequency (%) |
Sample Size |
Distribution¹ |
101 | DRB1*07:01-DQA1*02:01-DQB1*02:01 | | England pop 6 | 10.5000 | | 177 |
|
102 | DRB1*07:01-DQA1*02:01-DQB1*02:01/02:02 | | Russia Siberia Dudinka Nganasan | 10.4000 | | 24 |
|
103 | DQA1*02:01-DQB1*02 | | Ecuador African | 10.3000 | | 58 |
|
104 | DRB1*07:01-DQA1*02:01-DQB1*02:01 | | China Urumqi Han | 10.2000 | | 59 |
|
105 | DRB1*07:01-DQA1*02:01-DQB1*02:02 | | Tunisia | 10.2000 | | 100 |
|
106 | DRB1*03:01-DQB1*02:01 | | Mexico Mexico City Mestizo population | 10.1399 | | 143 |
|
107 | DRB1*03:01-DQA1*05:01-DQB1*02:01 | | Tunisia | 10.0000 | | 100 |
|
108 | DRB1*07:01-DQB1*02:01 | | Tunisia pop 2 | 10.0000 | | 111 |
|
109 | DRB1*07:01-DQB1*02:01 | | USA Hispanic pop 2 | 9.9260 | | 1,999 |
|
110 | DRB1*07:01-DQB1*02:01 | | USA African American pop 4 | 9.9110 | | 2,411 |
|
111 | DRB1*07-DQA1*02:01-DQB1*02:01 | | Algeria pop 2 | 9.9000 | | 106 |
|
112 | DRB1*03:01-DQB1*02:01 | | Vietnam HoaBinh Muong | 9.8000 | | 83 |
|
113 | DRB1*03:01-DQB1*02:01-DPB1*04:01 | | Ireland South | 9.8000 | | 250 |
|
114 | DRB1*07-DQA1*02-DQB1*02 | | USA San Francisco Caucasian | 9.8000 | | 220 |
|
115 | DRB1*07:01-DQB1*02:01 | | Cretan Islanders | 9.6704 | | 124 |
|
116 | DQA1*05:01-DQB1*02 | | France Ceph | 9.6000 | | 124 |
|
117 | DQA1*05-DQB1*02 | | Israel Arab | 9.6000 | | 109 |
|
118 | DRB1*03:01:01-DQB1*02 | | Israel Arab | 9.6000 | | 109 |
|
119 | DRB1*03:01-DQA1*05:01-DQB1*02 | | Ethiopia Oromo | 9.6000 | | 83 |
|
120 | A*01:01-B*08:01-C*07:01-DRB1*03:01:01-DQB1*02:01 | | England North West | 9.5000 | | 298 |
|
121 | DRB1*03:01-DQA1*05:01-DQB1*02:01 | | Turkey pop 1 | 9.4000 | | 250 |
|
122 | DRB1*07:01-DQA1*02:01-DQB1*02:01 | | India Northeast Rastogi | 9.4000 | | 196 |
|
123 | DRB1*07-DQA1*02:01-DQB1*02:01 | | Israel Ashkenazi Jews | 9.4000 | | 80 |
|
124 | DRB1*07-DQA1*02:01-DQB1*02:02 | | Croatia Gorski Kotar Region | 9.4000 | | 63 |
|
125 | DQA1*05-DQB1*02 | | Israel Iranian Jews | 9.3000 | | 101 |
|
126 | DRB1*03-DQA1*05:01-DQB1*02:01 | | Russia Smolensk | 9.3000 | | 156 |
|
127 | DRB1*03-DQA1*05:01-DQB1*02:01 | | Czech Republic pop 3 | 9.2000 | | 180 |
|
128 | DRB1*03-DQB1*02 | | Morocco pop 2 | 9.0300 | | 110 |
|
129 | DQA1*05:01-DQB1*02 | | Cameroon Saa | 9.0000 | | 172 |
|
130 | DRB1*03:01-DQA1*05:01-DQB1*02:01 | | Russia Northwest Slavic | 9.0000 | | 200 |
|
131 | DRB1*03-DQA1*05:01-DQB1*02:01 | | Belarus Brest Region | 9.0000 | | 105 |
|
132 | DRB1*07:01-DQA1*02:01-DQB1*02:02 | | USA San Francisco Caucasian | 8.9000 | | 220 |
|
133 | DRB1*03:01-DQB1*02:01 | | Spain Tenerife Island | 8.8200 | | 83 |
|
134 | DRB1*07:01-DQB1*02 | | Israel Iranian Jews | 8.8000 | | 101 |
|
135 | DQA1*02:01-DQB1*02:01 | | China, Xinjiang Uyghur Autonomous Region Hui | 8.7500 | | 40 |
|
136 | DRB1*07:01:01-DQB1*02:01/02:02 | | China Shandong Province Han | 8.7000 | | 98 |
|
137 | DRB1*03-DQA1*05:01-DQB1*02:01 | | Russia Arkhangelsk | 8.6000 | | 81 |
|
138 | DRB1*03-DQB1*02 | | Pakistan Kalash | 8.6000 | | 69 |
|
139 | DRB1*07:01-DQA1*02:01-DQB1*02:01 | | India Northeast Rajbanshi | 8.6000 | | 98 |
|
140 | DQA1*02:01-DQB1*02 | | France Ceph | 8.4000 | | 124 |
|
141 | DRB1*03:01-DQB1*02:01 | | Sweden Southern Sami | 8.4000 | | 130 |
|
142 | A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*04:01 | | Ireland South | 8.3000 | | 250 |
|
143 | DRB1*07:01-DQA1*02:01-DQB1*02:01 | | China Urumqi Kazak | 8.3000 | | 42 |
|
144 | DRB1*07-DQA1*02:01-DQB1*02:02 | | Czech Republic pop 3 | 8.3000 | | 180 |
|
145 | DRB1*07:01-DQB1*02 | | Israel Ethiopian Jews | 8.2000 | | 122 |
|
146 | DRB1*03:01-DQB1*02:01 | | Iran pop 3 | 8.0000 | | 100 |
|
147 | DRB1*03:01-DQB1*02:01 | | Tunisia | 8.0000 | | 100 |
|
148 | DRB1*07:01-DQA1*02:01-DQB1*02:01 | | Russia Northwest Slavic | 8.0000 | | 200 |
|
149 | DRB1*07:01-DQA1*02:01-DQB1*02:01 | | Iran Kurd | 8.0000 | | 100 |
|
150 | DRB1*07-DQA1*02:01-DQB1*02:01 | | Belarus Vitebsk Region | 8.0000 | | 70 |
|
151 | DRB1*07-DQB1*02 | | Pakistan Mixed Pathan | 7.9000 | | 100 |
|
152 | DQA1*02:01-DQB1*02:02 | | Belgium pop 2 | 7.8000 | | 715 |
|
153 | DRB1*03-DQA1*05:01-DQB1*02:01 | | Ukraine Lvov | 7.8000 | | 102 |
|
154 | DQA1*02:01-DQB1*02 | | Israel Iranian Jews | 7.7000 | | 101 |
|
155 | DRB1*03:01:01-DQB1*02 | | Israel Iranian Jews | 7.7000 | | 101 |
|
156 | DRB1*03:01-DQA1*05:01-DQB1*02 | | Ethiopia Amhara | 7.7000 | | 98 |
|
157 | DRB1*07:01-DQA1*02:01-DQB1*02:01 | | Australia New South Wales Aborigine | 7.7000 | | 177 |
|
158 | DRB1*07:01-DQB1*02:02 | | Mexico Mexico City Mestizo population | 7.6923 | | 143 |
|
159 | DQA1*05:01-DQB1*02 | | India Bombay | 7.6000 | | 59 |
|
160 | DRB1*03:01-DQA1*05:01-DQB1*02:01 | | China Urumqi Han | 7.6000 | | 59 |
|
161 | DRB1*07-DQA1*02:01-DQB1*02:01 | | Belarus Brest Region | 7.6000 | | 105 |
|
162 | DQA1*05:01-DQB1*02:01 | | China, Xinjiang Uyghur Autonomous Region Hui | 7.5000 | | 40 |
|
163 | DRB1*03:01-DQB1*02-DPB1*04:02 | | Central African Republic Aka Pygmy | 7.5000 | | 93 |
|
164 | DRB1*07-DQB1*02 | | Morocco pop 2 | 7.4100 | | 110 |
|
165 | DQA1*02:01-DQB1*02 | | Israel Ethiopian Jews | 7.4000 | | 122 |
|
166 | DRB1*03:01-DQA1*05:01/05:03/05:05-DQB1*02:01/02:02 | | Russia Siberia Khanty Mansi | 7.4000 | | 68 |
|
167 | DRB1*03-DQA1*05:01-DQB1*02:01 | | Belarus Vitebsk Region | 7.4000 | | 70 |
|
168 | DRB1*03-DQA1*05:01-DQB1*02:01 | | Russia Vologda | 7.4000 | | 121 |
|
169 | DRB1*07-DQA1*02:01-DQB1*02:01 | | Russia Arkhangelsk | 7.4000 | | 81 |
|
170 | DRB1*07-DQA1*02:01-DQB1*02:01 | | Mexico Guadalajara Mestizo | 7.4000 | | 54 |
|
171 | DRB1*03:01-DQB1*02:01 | | USA Hispanic pop 2 | 7.3280 | | 1,999 |
|
172 | DRB1*03:01-DQB1*02:01 | | USA African American pop 4 | 7.2420 | | 2,411 |
|
173 | DRB1*07:01-DQA1*02:01-DQB1*02:01 | | Turkey pop 1 | 7.2000 | | 250 |
|
174 | DRB1*07-DQA1*02:01-DQB1*02:01 | | Russia Mari | 7.2000 | | 202 |
|
175 | DRB1*03:01-DQA1*05-DQB1*02:01 | | Israel Ashkenazi Jews | 7.0000 | | 80 |
|
176 | DRB1*03:01-DQB1*02:01 | | Sweden Northern Sami | 7.0000 | | 154 |
|
177 | DRB1*07:01-DQA1*02:01-DQB1*02:01 | | India Northeast Lachung | 7.0000 | | 58 |
|
178 | DRB1*07:01-DQB1*02:01 | | Iran pop 3 | 7.0000 | | 100 |
|
179 | DRB1*07:01-DQA1*02:01-DQB1*02:01 | | Italy Sardinia Cagliari | 6.9000 | | 87 |
|
180 | DQA1*02:01-DQB1*02 | | Russia Tuva pop 2 | 6.8000 | | 169 |
|
181 | DRB1*03:01-DQA1*05:01/05:03/05:05-DQB1*02:01/02:02 | | Russia Tuva pop3 | 6.8000 | | 44 |
|
182 | DRB1*03-DRB3*01-DQA1*05-DQB1*02-DPB1*04 | | USA San Francisco Caucasian | 6.8000 | | 220 |
|
183 | DRB1*07:01-DQA1*02:01-DQB1*02:01 | | Iran Fars Parsi | 6.8000 | | 73 |
|
184 | DRB1*03:01-DQA1*05:01-DQB1*02:01 | | Congo Kinshasa Bantu | 6.7000 | | 90 |
|
185 | DRB1*03-DQA1*05:01-DQB1*02:01 | | Gabon Haut-Ogooue Dienga | 6.7000 | | 167 |
|
186 | A*01-B*08-DRB1*03:01-DQB1*02 | | Mexico Morelos Rural | 6.6667 | | 30 |
|
187 | DRB1*03:01-DQB1*02:01 | | Israel Ashkenazi Jews pop 2 | 6.6000 | | 132 |
|
188 | DRB1*07:01-DQA1*02:01-DQB1*02:01 | | Italy Sardinia Tempio | 6.6000 | | 91 |
|
189 | DRB1*07:01-DQA1*02:01-DQB1*02:02 | | South Korea pop 5 | 6.6000 | | 467 |
|
190 | DRB1*07:01:01:01-DQB1*02:02 | | China Inner Mongolia Autonomous Region Northeast | 6.5520 | | 496 |
|
191 | A*01:01-B*08:01-C*07:01-DRB1*03:01-DRB3*01:01-DQB1*02:01 | | USA NMDP European Caucasian | 6.5258 | | 1,242,890 |
|
192 | DRB1*03:01-DQA1*05:01-DQB1*02:01 | | Iran Kurd | 6.5000 | | 100 |
|
193 | DRB1*07:01-DQA1*02:01-DQB1*02:01 | | Italy Sardinia Sorgono | 6.5000 | | 93 |
|
194 | DRB1*07:01-DQB1*02:01 | | Malaysia | 6.5000 | | 74 |
|
195 | DRB1*07:01-DQB1*02:02 | | Taiwan pop 2 | 6.5000 | | 364 |
|
196 | DRB1*03:01-DQA1*05:01-DQB1*02:01 | | Spain Las Alpujarras | 6.4700 | | 85 |
|
197 | DQA1*02:01-DQB1*02:01 | | China, Xinjiang Uyghur Autonomous Region Han | 6.4300 | | 70 |
|
198 | DQA1*05:01-DQB1*02:01 | | China, Xinjiang Uyghur Autonomous Region Han | 6.4300 | | 70 |
|
199 | DRB1*03:01-DQA1*05:01-DQB1*02:01 | | Mongolia Tarialan Khoton | 6.4000 | | 85 |
|
200 | DRB1*07:01-DQB1*02:01 | | Indonesia Moluccan Islands | 6.4000 | | 24 |
|
* 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).