Line |
Haplotype |
Population |
Frequency (%) |
Sample Size |
Distribution¹ |
101 | A*24:02-B*39:01-C*07:02-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*02:02-DPB1*05:01 | | Japan pop 17 | 0.0300 | | 3,078 |
|
102 | A*24:02-B*39:01-C*07:02-DRB1*15:01-DQB1*05:02 | | USA Asian pop 2 | 0.0440 | | 1,772 |
|
103 | A*24:02-B*39:01-C*07:02-DRB1*15:01-DQB1*06:02 | | Mexico Mexico City Mestizo population | 0.3497 | | 143 |
|
104 | A*24:02-B*39:01-C*12:02-DRB1*15:01 | | Japan pop 16 | 0.0050 | | 18,604 |
|
105 | A*24:02-B*39:01-C*12:03-DRB1*15:01 | | Japan pop 16 | 0.0050 | | 18,604 |
|
106 | A*24:02-B*39:01-C*12:03-DRB1*15:01 | | Poland DKMS | 0.0039 | | 20,653 |
|
107 | A*24:02-B*39:01-C*12:03-DRB1*15:01-DQA1*03:01-DQB1*06:01-DPB1*02:01 | | Sri Lanka Colombo | 0.0700 | | 714 |
|
108 | A*24:02-B*39:01-C*12:03-DRB1*15:01-DQB1*06:01 | | India Central UCBB | 0.0119 | | 4,204 |
|
109 | A*24:02-B*39:01-C*12:03-DRB1*15:01-DQB1*06:02:01 | | England North West | 0.2000 | | 298 |
|
110 | A*24:02-B*39:01-C*12:04-DRB1*15:01-DQB1*06:01 | | India South UCBB | 0.0037 | | 11,446 |
|
111 | A*24:02-B*39:01-C*12:04-DRB1*15:01-DQB1*06:01 | | India West UCBB | 0.0172 | | 5,829 |
|
112 | A*24:02-B*39:01-DRB1*15:01 | | Hong Kong Chinese cord blood registry | 0.0357 | | 3,892 |
|
113 | A*24:02-B*39:01-DRB1*15:01-DQB1*06:02 | | Mexico Mexico City Tlalpan | 0.1515 | | 330 |
|
114 | A*24:03-B*39:01-C*12:04-DRB1*15:01-DQB1*06:01 | | India Tamil Nadu | 0.0201 | | 2,492 |
|
115 | A*24:20-B*39:01-C*03:03-DRB1*15:01 | | Japan pop 16 | 0.0050 | | 18,604 |
|
116 | A*24:20-B*39:01-C*07:02-DRB1*15:01 | | Japan pop 16 | 0.0050 | | 18,604 |
|
117 | A*24:20-B*39:01-C*12:03-DRB1*15:01 | | Japan pop 16 | 0.0050 | | 18,604 |
|
118 | A*24:20-B*39:01-C*12:03-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*01:03-DPB1*02:01 | | Japan pop 17 | 0.0300 | | 3,078 |
|
119 | A*24:33-B*39:01-C*12:04-DRB1*15:01-DQB1*06:01 | | India South UCBB | 0.0131 | | 11,446 |
|
120 | A*25:01:01-B*39:01:01-C*01:02:01-DRB1*15:01:01-DQB1*06:02:01 | | Poland BMR | 0.0042 | | 23,595 |
|
121 | A*25:01:01-B*39:01:01-C*12:03:01-DRB1*15:01:01-DQB1*06:02:01 | | Poland BMR | 0.0020 | | 23,595 |
|
122 | A*25:01-B*39:01-C*07:02-DRB1*15:01 | | Poland DKMS | 0.0024 | | 20,653 |
|
123 | A*25:01-B*39:01-C*07:02-DRB1*15:01-DQB1*06:02 | | USA Hispanic pop 2 | 0.0120 | | 1,999 |
|
124 | A*25:01-B*39:01-C*12:03-DRB1*15:01 | | Poland DKMS | 0.0028 | | 20,653 |
|
125 | A*25:01-B*39:01-DRB1*15:01 | | Israel USSR Jews | 0.0021 | | 45,681 |
|
126 | A*26:01:01-B*39:01:01-C*03:03:01-DRB1*15:01:01-DQB1*05:02:01 | | China Zhejiang Han | 0.0288 | | 1,734 |
|
127 | A*26:01:01-B*39:01:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01 | | Poland BMR | 0.0038 | | 23,595 |
|
128 | A*26:01:01-B*39:01:01-C*07:02:01-DRB1*15:01:01-DQB1*06:03:01 | | Poland BMR | 0.0021 | | 23,595 |
|
129 | A*26:01:01-B*39:01:01-C*12:03:01-DRB1*15:01:01-DQB1*06:02:01 | | Poland BMR | 0.0074 | | 23,595 |
|
130 | A*26:01:01-B*39:01:01-C*12:03:01-DRB1*15:01:01-DQB1*06:03:01 | | Poland BMR | 0.0022 | | 23,595 |
|
131 | A*26:01-B*39:01-C*03:03-DRB1*15:01-DQB1*06:02 | | USA Asian pop 2 | 0.0110 | | 1,772 |
|
132 | A*26:01-B*39:01-C*03:04-DRB1*15:01 | | Germany DKMS - Portugal minority | 0.0430 | | 1,176 |
|
133 | A*26:01-B*39:01-C*07:02-DRB1*15:01 | | Japan pop 16 | 0.0830 | | 18,604 |
|
134 | A*26:01-B*39:01-C*07:02-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*01:03-DPB1*02:01 | | Japan pop 17 | 0.0700 | | 3,078 |
|
135 | A*26:01-B*39:01-C*07:02-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*01:03-DPB1*03:01 | | Japan pop 17 | 0.0300 | | 3,078 |
|
136 | A*26:01-B*39:01-C*12:03-DRB1*15:01 | | Poland DKMS | 0.0021 | | 20,653 |
|
137 | A*26:01-B*39:01-DRB1*15:01 | | New Zealand Polynesians with Full Ancestry | 2.3810 | | 21 |
|
138 | A*26:01-B*39:01-DRB1*15:01 | | New Zealand Polynesians with Admixed History | 1.8520 | | 27 |
|
139 | A*26:03-B*39:01-C*07:02-DRB1*15:01 | | Japan pop 16 | 0.0160 | | 18,604 |
|
140 | A*29:01-B*39:01-C*04:01-DRB1*15:01-DQB1*05:02 | | USA Hispanic pop 2 | 0.0470 | | 1,999 |
|
141 | A*30:01-B*39:01-DRB1*15:01 | | Israel USSR Jews | 0.0007400 | | 45,681 |
|
142 | A*31:01:02:01-B*39:01:01:03-C*07:02:01-DRB1*15:01:01-DQB1*06:03:01 | | Russia Nizhny Novgorod, Russians | 0.0331 | | 1,510 |
|
143 | A*31:01:02-B*39:01:01-C*03:04:01-DRB1*15:01:01-DQB1*06:02:01 | | China Zhejiang Han | 0.0288 | | 1,734 |
|
144 | A*31:01:02-B*39:01:01-C*12:03:01-DRB1*15:01:01-DQB1*03:01:01 | | Poland BMR | 0.0063 | | 23,595 |
|
145 | A*31:01:02-B*39:01:01-C*12:03:01-DRB1*15:01:01-DQB1*05:02:01 | | Poland BMR | 0.0015 | | 23,595 |
|
146 | A*31:01:02-B*39:01:01-C*12:03:01-DRB1*15:01:01-DQB1*06:02:01 | | Poland BMR | 0.0170 | | 23,595 |
|
147 | A*31:01:02-B*39:01:01-C*12:03:01-DRB1*15:01:01-DQB1*06:03:01 | | Poland BMR | 0.0064 | | 23,595 |
|
148 | A*31:01:02-B*39:01:01-DRB1*15:01:01 | | Portugal North | 1.1000 | | 46 |
|
149 | A*31:01-B*39:01-C*02:02-DRB1*15:01-DQB1*06:01 | | India West UCBB | 0.0086 | | 5,829 |
|
150 | A*31:01-B*39:01-C*07:02-DRB1*15:01 | | Japan pop 16 | 0.1100 | | 18,604 |
|
151 | A*31:01-B*39:01-C*07:02-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*01:03-DPB1*02:01 | | Japan pop 17 | 0.0300 | | 3,078 |
|
152 | A*31:01-B*39:01-C*07:02-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*02:01-DPB1*09:01 | | Japan pop 17 | 0.0300 | | 3,078 |
|
153 | A*31:01-B*39:01-C*07:02-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*02:02-DPB1*05:01 | | Japan pop 17 | 0.0300 | | 3,078 |
|
154 | A*31:01-B*39:01-C*07:02-DRB1*15:01-DQB1*06:01 | | India East UCBB | 0.0208 | | 2,403 |
|
155 | A*31:01-B*39:01-C*12:03-DRB1*15:01 | | Germany DKMS - Romania minority | 0.0410 | | 1,234 |
|
156 | A*31:01-B*39:01-C*12:03-DRB1*15:01 | | Poland DKMS | 0.0191 | | 20,653 |
|
157 | A*31:01-B*39:01-C*12:03-DRB1*15:01-DQB1*06:01 | | India West UCBB | 0.0086 | | 5,829 |
|
158 | A*31:01-B*39:01-C*12:03-DRB1*15:01-DQB1*06:01 | | India Tamil Nadu | 0.0067 | | 2,492 |
|
159 | A*31:01-B*39:01-C*12:03-DRB1*15:01-DQB1*06:02 | | Germany DKMS - Turkey minority | 0.0100 | | 4,856 |
|
160 | A*31:01-B*39:01-C*12:03-DRB1*15:01-DQB1*06:02 | | Germany DKMS - Italy minority | 0.0520 | | 1,159 |
|
161 | A*31:01-B*39:01-C*12:03-DRB1*15:01-DQB1*06:02 | | India Tamil Nadu | 0.0067 | | 2,492 |
|
162 | A*31:01-B*39:01-DRB1*15:01 | | Israel USSR Jews | 0.0022 | | 45,681 |
|
163 | A*31:08-B*39:01-DRB1*15:01 | | Israel USSR Jews | 0.0056 | | 45,681 |
|
164 | A*32:01:01-B*39:01:01-C*01:02:01-DRB1*15:01:01-DQB1*06:02:01 | | Poland BMR | 0.0021 | | 23,595 |
|
165 | A*32:01:01-B*39:01:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01 | | Poland BMR | 0.0021 | | 23,595 |
|
166 | A*32:01:01-B*39:01:01-C*12:03:01-DRB1*15:01:01-DQB1*03:01:01 | | Poland BMR | 0.0019 | | 23,595 |
|
167 | A*32:01:01-B*39:01:01-C*12:03:01-DRB1*15:01:01-DQB1*06:02:01 | | Poland BMR | 0.0051 | | 23,595 |
|
168 | A*32:01-B*39:01-C*07:02-DRB1*15:01 | | Germany DKMS - Romania minority | 0.0410 | | 1,234 |
|
169 | A*32:01-B*39:01-C*07:02-DRB1*15:01 | | Poland DKMS | 0.0025 | | 20,653 |
|
170 | A*32:01-B*39:01-C*12:03-DRB1*15:01-DQB1*06:02 | | Germany DKMS - Turkey minority | 0.0100 | | 4,856 |
|
171 | A*32:01-B*39:01-DRB1*15:01 | | Israel USSR Jews | 0.0080 | | 45,681 |
|
172 | A*32:01-B*39:01-DRB1*15:01 | | Israel Poland Jews | 0.0072 | | 13,871 |
|
173 | A*32:01-B*39:01-DRB1*15:01 | | Israel Iraq Jews | 0.0135 | | 13,270 |
|
174 | A*68:01-B*39:01-C*07:02-DRB1*15:01 | | Germany DKMS - France minority | 0.0360 | | 1,406 |
|
175 | A*68:01-B*39:01-C*07:02-DRB1*15:01 | | Germany DKMS - Bosnia and Herzegovina minority | 0.0490 | | 1,028 |
|
176 | A*68:01-B*39:01-C*07:02-DRB1*15:01-DQB1*06:03 | | Germany DKMS - Turkey minority | 0.0100 | | 4,856 |
|
177 | A*68:01-B*39:01-DRB1*15:01-DQB1*06:02 | | Mexico Chihuahua Chihuahua City Pop 2 | 0.5682 | | 88 |
|
178 | A*68:02-B*39:01-DRB1*15:01 | | Israel Argentina Jews | 0.0058 | | 4,307 |
|
179 | A*68:24-B*39:01:01-C*12:03:01:01-DRB1*15:01:01-DQB1*06:02:01 | | Russia Nizhny Novgorod, Russians | 0.0331 | | 1,510 |
|
180 | B*39:01-C*07:02-DRB1*15:01-DQB1*06:02 | | Mexico Mexico City Mestizo population | 0.3497 | | 143 |
|
181 | B*39:01-DRB1*15:01:01 | | Taiwan Saisiat | 3.0000 | | 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).