Line |
Haplotype |
Population |
Frequency (%) |
Sample Size |
Distribution¹ |
101 | A*33:03-B*44:03-C*07:01/07:06 | | South Korea pop 3 | 3.1000 | | 485 |
|
102 | A*33-B*15-DRB1*15 | | Bangladesh Dhaka Bangalee | 3.1000 | | 141 |
|
103 | A*33-B*58-DRB1*13:02 | | South Korea pop 1 | 3.1000 | | 324 |
|
104 | A*33:01-B*14:01 | | Tunisia | 3.0000 | | 100 |
|
105 | A*33:01-B*14:02-DRB1*01:02 | | Armenia combined Regions | 3.0000 | | 100 |
|
106 | A*33:01-C*08:02 | | Tunisia | 3.0000 | | 100 |
|
107 | A*33:03-B*44:03-C*07:01/07:06-DRB1*07:01-DQB1*02:01/02:02 | | South Korea pop 3 | 3.0000 | | 485 |
|
108 | A*33:03-B*58:01-C*03:02-DRB1*03:01 | | China Yunnan Province Han | 3.0000 | | 101 |
|
109 | A*33:03-B*58:01-C*03:02-DRB1*13:02 | | China Yunnan Province Han | 3.0000 | | 101 |
|
110 | A*33:03-B*58:01-C*03:02-DRB1*13:02-DQB1*06:09 | | South Korea pop 3 | 3.0000 | | 485 |
|
111 | A*33:03-B*58:01-DRB1*13:02 | | South Korea pop 3 | 3.0000 | | 485 |
|
112 | A*33:03-B*58:01-DRB1*13:02 | | South Korea pop 10 | 3.0000 | | 4,128 |
|
113 | A*33-B*14-C*08 | | Italy Sardinia pop3 | 3.0000 | | 100 |
|
114 | A*33-B*58-C*03 | | Pakistan Mixed Pathan | 3.0000 | | 100 |
|
115 | A*33-B*58-DRB1*03 | | Malaysia pop 3 | 3.0000 | | 1,445 |
|
116 | A*33:03-B*44:03 | | USA Asian pop 2 | 2.9380 | | 1,772 |
|
117 | A*33:03-B*44:03-DRB1*07:01 | | South Korea pop 3 | 2.9000 | | 485 |
|
118 | A*33:03-B*58:01 | | Taiwan Siraya | 2.9000 | | 51 |
|
119 | A*33:03-B*58:01-C*03:02-DRB1*03:01 | | Iran Baloch | 2.9000 | | 100 |
|
120 | A*33:03-C*03:02 | | Taiwan Siraya | 2.9000 | | 51 |
|
121 | A*33-B*58-C*03 | | Pakistan Brahui | 2.9000 | | 104 |
|
122 | A*33-B*58-DRB1*03 | | Philippines National Capital Region | 2.9000 | | 51 |
|
123 | A*33-B*44-DRB1*07 | | Thailand pop 4 | 2.8500 | | 16,807 |
|
124 | A*33-B*15-DRB1*14 | | India sub-Himalayan West Bengal Kami | 2.8400 | | 158 |
|
125 | A*33:03-B*58:01-DRB1*03:01-DPB1*04:01 | | China Canton Han | 2.8000 | | 264 |
|
126 | A*33-B*35-DRB1*07 | | Bangladesh Dhaka Bangalee | 2.8000 | | 141 |
|
127 | A*33-B*44-C*07 | | South Korea pop 1 | 2.8000 | | 324 |
|
128 | A*33-B*44-DRB1*07:01 | | South Korea pop 1 | 2.8000 | | 324 |
|
129 | A*33:03-B*44:03-C*07:01-DRB1*07:01-DRB4*01:01-DQB1*02:01 | | USA NMDP South Asian Indian | 2.7980 | | 185,391 |
|
130 | A*33:03-B*58:01-DRB1*03:01 | | China Jiangsu Province Han | 2.7900 | | 334 |
|
131 | A*33:01-B*14:02-DRB1*12:01 | | Israel YemenJews | 2.7700 | | 15,542 |
|
132 | A*33-B*14:02-DRB1*01-DQB1*05 | | Mexico Coahuila, Saltillo | 2.7397 | | 72 |
|
133 | A*33-B*44-C*07-DRB1*07 | | Myanmar Kayah | 2.7270 | | 55 |
|
134 | A*33:03-B*58:01-C*03:02-DRB1*13:02-DRB3*03:01-DQB1*06:09 | | USA NMDP Korean | 2.7165 | | 77,584 |
|
135 | A*33:01-B*58:01-C*07:02 | | China Guizhou Province Bouyei | 2.7000 | | 109 |
|
136 | A*33:03-B*78:01-C*16:01 | | Mali Bandiagara | 2.7000 | | 138 |
|
137 | A*33-B*14:02-DRB1*01-DQB1*05 | | Mexico Jalisco, Zapopan | 2.6786 | | 168 |
|
138 | A*33:01-B*14:02-DRB1*01:02 | | Israel Argentina Jews | 2.6700 | | 4,307 |
|
139 | A*33:01-B*14:02 | | Brazil Belo Horizonte Caucasian | 2.6000 | | 95 |
|
140 | A*33:03-B*44:03-C*07:01-DRB1*07:01-DQB1*02:01 | | Vietnam Hanoi Kinh pop 2 | 2.6000 | | 170 |
|
141 | A*33-B*14-C*08-DRB1*01 | | Iran pop 4 | 2.6000 | | 855 |
|
142 | A*33-B*14-C*08-DRB1*01-DQB1*05 | | Spain Ibiza | 2.6000 | | 88 |
|
143 | A*33:03-B*44:03-C*07:01-DRB1*07:01-DRB4*01:01-DQB1*02:01 | | USA NMDP Korean | 2.5969 | | 77,584 |
|
144 | A*33:03-B*58:01-DRB1*03:01 | | China Jiangsu Han | 2.5900 | | 3,238 |
|
145 | A*33:03-B*44:03-C*07:06-DRB1*07:01-DQB1*02:02 | | India UCBB_Central Indian HLA | 2.5815 | | 4,204 |
|
146 | A*33:03:01-B*58:01:01-C*03:02:02-DRB1*03:01:01-DPB1*04:01:01 | | Hong Kong Chinese HKBMDR HLA 11 loci | 2.5610 | | 5,266 |
|
147 | A*33-B*14:02-DRB1*01-DQB1*05 | | Mexico Sonora Rural | 2.5381 | | 197 |
|
148 | A*33:03-B*44:03-C*07:01-DRB1*07:01-DRB4*01:01-DQB1*02:01 | | USA NMDP Southeast Asian | 2.5127 | | 27,978 |
|
149 | A*33-B*14:02-DRB1*01-DQB1*05 | | Mexico Baja Californa, Mexicali | 2.5000 | | 100 |
|
150 | A*33-B*58-DRB1*03 | | China Jiangsu Province | 2.5000 | | 20,248 |
|
151 | A*33:03-B*44:03-DRB1*07:01 | | South Korea pop 10 | 2.4600 | | 4,128 |
|
152 | A*33-B*45-DRB1*04-DQB1*03:01 | | Mexico Hidalgo, Pachuca | 2.4390 | | 41 |
|
153 | A*33:03-B*58:01-C*03:02-DRB1*13:02 | | China Southwest Dai | 2.4000 | | 124 |
|
154 | A*33:03-B*58:01-DRB1*13:02 | | China Southwest Dai | 2.4000 | | 124 |
|
155 | A*33-B*58 | | Pakistan Brahui | 2.4000 | | 104 |
|
156 | A*33-B*58-DRB1*03 | | Pakistan Mixed Pathan | 2.4000 | | 100 |
|
157 | A*33-B*58-DRB1*03 | | India sub-Himalayan West Bengal Kami | 2.3900 | | 158 |
|
158 | A*33:01-G*01:01 | | Ecuador Amerindians | 2.3810 | | 63 |
|
159 | A*33:01:01-B*55:01:01-C*03:03:01-DRB1*16:01:01-DQB1*05:02:01-DPA1*01:03:01-DPB1*03:01:01 | | Brazil Barra Mansa Rio State Black | 2.3810 | | 73 |
|
160 | A*33-B*40-DRB1*15 | | India sub-Himalayan West Bengal Kami | 2.3800 | | 158 |
|
161 | A*33:01-B*14:02-DRB1*01:02 | | Israel Ashkenazi Jews pop 3 | 2.3600 | | 4,625 |
|
162 | A*33:01-B*14:02-C*08:02 | | Italy pop 5 | 2.3500 | | 975 |
|
163 | A*33-B*58-C*03-DRB1*03 | | Myanmar Mon | 2.3440 | | 64 |
|
164 | A*33:01-B*14:02-DRB1*07:01-DQB1*03:03 | | Chile Mapuche | 2.3100 | | 66 |
|
165 | A*33:03-B*44:03-C*07:01-DRB1*07:01-DQB1*02:01 | | India Tamil Nadu | 2.3061 | | 2,492 |
|
166 | A*33-B*14-C*08-DRB1*04-DQB1*03 | | Spain Minorca | 2.3000 | | 94 |
|
167 | A*33-B*14-DRB1*01:02-DQB1*05:01 | | Madeira pop 2 | 2.3000 | | 173 |
|
168 | A*33-B*58-DRB1*03:01 | | South Korea pop 1 | 2.3000 | | 324 |
|
169 | A*33-B*58-DRB1*13:02 | | China Yunnan Province Han pop 2 | 2.3000 | | 129 |
|
170 | A*33-B*44-DRB1*01:03-DQB1*05 | | Mexico Guanajuato, Guanajuato city | 2.2727 | | 22 |
|
171 | A*33-B*07-DRB1*15-DQB1*06 | | Mexico Queretaro, Queretaro city | 2.2222 | | 45 |
|
172 | A*33:03-B*58:01-C*03:02-DRB1*03:01 | | Germany DKMS - China minority | 2.2210 | | 1,282 |
|
173 | A*33:03-B*58:01-C*03:02-DRB1*03:01-DQB1*02:01 | | USA Asian pop 2 | 2.2140 | | 1,772 |
|
174 | A*33-B*14-DRB1*01 | | Madeira pop 3 | 2.2000 | | 538 |
|
175 | A*33-B*51-DRB1*03 | | Pakistan Baloch | 2.2000 | | 66 |
|
176 | A*33:01-B*14:02-DRB1*01:02 | | Israel Poland Jews | 2.1800 | | 13,871 |
|
177 | A*33-B*53-DRB1*09-DQB1*02 | | Mexico Tamaulipas, Ciudad Victoria | 2.1739 | | 23 |
|
178 | A*33:01-B*14:02-DRB1*01:02 | | Israel USA Jews | 2.1500 | | 6,058 |
|
179 | A*33:03-B*44:03-DRB1*13:02 | | China Jiangsu Han | 2.1400 | | 3,238 |
|
180 | A*33:01-B*14:02-DRB1*01:02 | | Israel USSR Jews | 2.1100 | | 45,681 |
|
181 | A*33:03:01-B*58:01:01-C*03:02:02-DRB1*03:01:01-DQB1*02:01:01 | | India Andhra Pradesh Telugu Speaking | 2.1050 | | 186 |
|
182 | A*33:01-B*14:02 | | Cuba Caucasian | 2.1000 | | 70 |
|
183 | A*33:03-B*44:03-C*14:03 | | USA Asian | 2.1000 | | 358 |
|
184 | A*33:03-B*58:01-C*03:02-DRB1*13:02 | | Taiwan pop 2 | 2.1000 | | 364 |
|
185 | A*33-B*58-C*03 | | Malaysia Perak and Johor Banjar Bugis Jawa | 2.1000 | | 94 |
|
186 | A*33-B*58-DRB1*13 | | Malaysia pop 3 | 2.1000 | | 1,445 |
|
187 | A*33:03:01-B*44:03:02-C*07:01:01-DRB1*07:01:01 | | China Jingpo Minority | 2.0830 | | 105 |
|
188 | A*33:03:01-B*44:03:02-DRB1*07:01:01 | | China Jingpo Minority | 2.0830 | | 105 |
|
189 | A*33:03:01-C*07:01:01-DRB1*07:01:01 | | China Jingpo Minority | 2.0620 | | 105 |
|
190 | A*33:03:01-B*40:01:02-C*12:03:01 | | South African Indian population | 2.0000 | | 50 |
|
191 | A*33:03-B*15:02-DRB1*12:02 | | Malaysia Patani | 2.0000 | | 25 |
|
192 | A*33:03-B*18:01-DRB1*10:01 | | Malaysia Patani | 2.0000 | | 25 |
|
193 | A*33:03-B*52:01-DRB1*07:01 | | Malaysia Patani | 2.0000 | | 25 |
|
194 | A*33:03-B*56:04-DRB1*04:01 | | Malaysia Patani | 2.0000 | | 25 |
|
195 | A*33:03-B*58:01-C*03:02-DRB1*15:04 | | China Yunnan Hani | 2.0000 | | 150 |
|
196 | A*33:03-B*58:01-DRB1*03:01 | | South Korea pop 3 | 2.0000 | | 485 |
|
197 | A*33:19-B*15:17-DRB1*13:02 | | Malaysia Patani | 2.0000 | | 25 |
|
198 | A*33-B*14:02-DRB1*01-DQB1*05 | | Mexico Baja California Rural | 2.0000 | | 50 |
|
199 | A*33-B*44-DRB1*07 | | Pakistan Mixed Pathan | 2.0000 | | 100 |
|
200 | A*33-B*58-DRB1*03:01 | | Malaysia Sarawak Iban | 2.0000 | | 51 |
|
* 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).