Line |
Haplotype |
Population |
Frequency (%) |
Sample Size |
Distribution¹ |
101 | A*02:131-B*15:02-C*08:01-DRB1*04:03-DQB1*03:02 | | India West UCBB | 0.0063 | | 5,829 |
|
102 | A*02:131-B*07:06-C*07:02-DRB1*11:04-DQB1*03:01 | | India South UCBB | 0.0056 | | 11,446 |
|
103 | A*02:131-B*51:01-C*14:02-DRB1*14:04-DQB1*05:03 | | India South UCBB | 0.0054 | | 11,446 |
|
104 | A*02:131-B*40:06-C*15:02-DRB1*15:02-DQB1*06:01 | | India South UCBB | 0.0051 | | 11,446 |
|
105 | A*02:13-B*40:02-C*03:03-DRB1*14:05 | | Japan pop 16 | 0.0050 | | 18,604 |
|
106 | A*02:131-B*35:03-C*04:01-DRB1*10:01-DQB1*05:01 | | India South UCBB | 0.0048 | | 11,446 |
|
107 | A*02:131-B*40:06-C*15:02-DRB1*03:01-DQB1*02:01 | | India South UCBB | 0.0047 | | 11,446 |
|
108 | A*02:131-B*07:06-C*07:02-DRB1*04:03-DQB1*03:02 | | India South UCBB | 0.0046 | | 11,446 |
|
109 | A*02:131-B*07:06-C*07:02-DRB1*08:02-DQB1*04:02 | | India South UCBB | 0.0044 | | 11,446 |
|
110 | A*02:131-B*07:06-C*07:02-DRB1*12:01-DQB1*03:01 | | India South UCBB | 0.0044 | | 11,446 |
|
111 | A*02:131-B*07:06-C*07:02-DRB1*15:01-DQB1*06:02 | | India South UCBB | 0.0044 | | 11,446 |
|
112 | A*02:131-B*07:06-C*07:02-DRB1*16:01-DQB1*05:02 | | India South UCBB | 0.0044 | | 11,446 |
|
113 | A*02:131-B*07:06-C*14:02-DRB1*14:54-DQB1*05:03 | | India South UCBB | 0.0044 | | 11,446 |
|
114 | A*02:131-B*13:01-C*04:03-DRB1*14:10-DQB1*05:02 | | India South UCBB | 0.0044 | | 11,446 |
|
115 | A*02:131-B*14:02-C*08:02-DRB1*01:02-DQB1*05:01 | | India South UCBB | 0.0044 | | 11,446 |
|
116 | A*02:131-B*15:01-C*01:02-DRB1*15:01-DQB1*06:01 | | India South UCBB | 0.0044 | | 11,446 |
|
117 | A*02:131-B*15:01-C*03:03-DRB1*01:01-DQB1*05:01 | | India South UCBB | 0.0044 | | 11,446 |
|
118 | A*02:131-B*15:01-C*12:03-DRB1*03:01-DQB1*02:01 | | India South UCBB | 0.0044 | | 11,446 |
|
119 | A*02:131-B*15:02-C*08:01-DRB1*14:04-DQB1*05:03 | | India South UCBB | 0.0044 | | 11,446 |
|
120 | A*02:131-B*15:05-C*03:03-DRB1*08:02-DQB1*04:02 | | India South UCBB | 0.0044 | | 11,446 |
|
121 | A*02:131-B*15:05-C*03:03-DRB1*15:01-DQB1*06:02 | | India South UCBB | 0.0044 | | 11,446 |
|
122 | A*02:131-B*15:05-C*07:02-DRB1*14:04-DQB1*05:03 | | India South UCBB | 0.0044 | | 11,446 |
|
123 | A*02:131-B*18:01-C*12:03-DRB1*08:02-DQB1*04:02 | | India South UCBB | 0.0044 | | 11,446 |
|
124 | A*02:131-B*27:02-C*12:03-DRB1*10:01-DQB1*05:01 | | India South UCBB | 0.0044 | | 11,446 |
|
125 | A*02:131-B*27:04-C*15:02-DRB1*15:02-DQB1*06:01 | | India South UCBB | 0.0044 | | 11,446 |
|
126 | A*02:131-B*35:01-C*04:01-DRB1*12:01-DQB1*03:01 | | India South UCBB | 0.0044 | | 11,446 |
|
127 | A*02:131-B*35:03-C*12:03-DRB1*04:03-DQB1*03:02 | | India South UCBB | 0.0044 | | 11,446 |
|
128 | A*02:131-B*35:03-C*14:02-DRB1*15:02-DQB1*06:01 | | India South UCBB | 0.0044 | | 11,446 |
|
129 | A*02:131-B*35:08-C*04:01-DRB1*04:03-DQB1*03:02 | | India South UCBB | 0.0044 | | 11,446 |
|
130 | A*02:131-B*37:01-C*06:02-DRB1*07:01-DQB1*03:03 | | India South UCBB | 0.0044 | | 11,446 |
|
131 | A*02:131-B*37:01-C*12:02-DRB1*10:01-DQB1*05:01 | | India South UCBB | 0.0044 | | 11,446 |
|
132 | A*02:131-B*40:01-C*03:04-DRB1*08:03-DQB1*03:01 | | India South UCBB | 0.0044 | | 11,446 |
|
133 | A*02:131-B*40:01-C*12:03-DRB1*08:03-DQB1*03:01 | | India South UCBB | 0.0044 | | 11,446 |
|
134 | A*02:131-B*40:01-C*15:02-DRB1*14:04-DQB1*05:03 | | India South UCBB | 0.0044 | | 11,446 |
|
135 | A*02:131-B*40:06-C*01:02-DRB1*07:01-DQB1*03:03 | | India South UCBB | 0.0044 | | 11,446 |
|
136 | A*02:131-B*40:06-C*03:04-DRB1*03:01-DQB1*02:01 | | India South UCBB | 0.0044 | | 11,446 |
|
137 | A*02:131-B*40:06-C*07:04-DRB1*15:01-DQB1*06:01 | | India South UCBB | 0.0044 | | 11,446 |
|
138 | A*02:131-B*40:06-C*12:03-DRB1*10:01-DQB1*05:01 | | India South UCBB | 0.0044 | | 11,446 |
|
139 | A*02:131-B*40:06-C*15:02-DRB1*13:02-DQB1*06:09 | | India South UCBB | 0.0044 | | 11,446 |
|
140 | A*02:131-B*40:06-C*15:58-DRB1*15:02-DQB1*06:01 | | India South UCBB | 0.0044 | | 11,446 |
|
141 | A*02:131-B*44:03-C*07:06-DRB1*14:54-DQB1*05:03 | | India South UCBB | 0.0044 | | 11,446 |
|
142 | A*02:131-B*51:01-C*01:02-DRB1*13:01-DQB1*06:03 | | India South UCBB | 0.0044 | | 11,446 |
|
143 | A*02:131-B*51:01-C*14:02-DRB1*07:01-DQB1*02:02 | | India South UCBB | 0.0044 | | 11,446 |
|
144 | A*02:131-B*51:01-C*14:02-DRB1*15:02-DQB1*06:01 | | India South UCBB | 0.0044 | | 11,446 |
|
145 | A*02:131-B*51:01-C*15:02-DRB1*15:02-DQB1*06:01 | | India South UCBB | 0.0044 | | 11,446 |
|
146 | A*02:131-B*51:01-C*15:04-DRB1*07:01-DQB1*02:02 | | India South UCBB | 0.0044 | | 11,446 |
|
147 | A*02:131-B*51:01-C*16:02-DRB1*04:01-DQB1*03:02 | | India South UCBB | 0.0044 | | 11,446 |
|
148 | A*02:131-B*51:01-C*16:02-DRB1*15:02-DQB1*06:01 | | India South UCBB | 0.0044 | | 11,446 |
|
149 | A*02:131-B*51:06-C*14:02-DRB1*08:02-DQB1*03:01 | | India South UCBB | 0.0044 | | 11,446 |
|
150 | A*02:131-B*51:06-C*14:02-DRB1*15:02-DQB1*05:03 | | India South UCBB | 0.0044 | | 11,446 |
|
151 | A*02:131-B*55:01-C*03:03-DRB1*14:54-DQB1*05:03 | | India South UCBB | 0.0044 | | 11,446 |
|
152 | A*02:131-B*51:06-C*14:02-DRB1*15:06-DQB1*05:02 | | India South UCBB | 0.0043 | | 11,446 |
|
153 | A*02:131-B*56:01-C*01:02-DRB1*03:01-DQB1*02:01 | | India South UCBB | 0.0043 | | 11,446 |
|
154 | A*02:131-B*51:01-C*15:02-DRB1*12:01-DQB1*03:01 | | India South UCBB | 0.0042 | | 11,446 |
|
155 | A*02:131-B*51:06-C*14:02-DRB1*04:10-DQB1*04:02 | | India South UCBB | 0.0042 | | 11,446 |
|
156 | A*02:131-B*51:01-C*15:02-DRB1*03:01-DQB1*02:01 | | India South UCBB | 0.0038 | | 11,446 |
|
157 | A*02:131-B*07:06-C*07:02-DRB1*01:01-DQB1*05:01 | | India South UCBB | 0.0031 | | 11,446 |
|
158 | A*02:131-B*52:01-C*12:02-DRB1*11:01-DQB1*03:01 | | India West UCBB | 0.0027 | | 5,829 |
|
159 | A*02:131-B*35:03-C*04:01-DRB1*11:08-DQB1*03:01 | | India South UCBB | 0.0026 | | 11,446 |
|
160 | A*02:131-B*13:01-C*04:03-DRB1*07:01-DQB1*03:03 | | India South UCBB | 0.0021 | | 11,446 |
|
* 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).