Line |
Haplotype |
Population |
Frequency (%) |
Sample Size |
Distribution¹ |
101 | A*32:01-B*27:07-DRB1*10:01 | | Israel USA Jews | 0.0083 | | 6,058 |
|
102 | A*02:17-B*27:02-DRB1*10:01 | | Israel Arab pop 2 | 0.0081 | | 12,301 |
|
103 | A*31:01-B*27:07-DRB1*10:01 | | Israel YemenJews | 0.0069 | | 15,542 |
|
104 | A*24:03-B*27:03-C*02:02-DRB1*10:01 | | Hong Kong Chinese BMDR | 0.0066 | | 7,595 |
|
105 | A*31:08-B*27:02-DRB1*10:01 | | Israel USSR Jews | 0.0066 | | 45,681 |
|
106 | A*01:01-B*27:05-DRB1*10:01 | | Israel Morocco Jews | 0.0056 | | 36,718 |
|
107 | A*23:01-B*27:05-DRB1*10:01 | | Israel Tunisia Jews | 0.0055 | | 9,070 |
|
108 | A*33:01-B*27:02-DRB1*10:01 | | Israel Tunisia Jews | 0.0055 | | 9,070 |
|
109 | A*03:02-B*27:02-DRB1*10:01 | | Israel Arab pop 2 | 0.0054 | | 12,301 |
|
110 | A*03:02-B*27:02-DRB1*10:01 | | Israel USSR Jews | 0.0050 | | 45,681 |
|
111 | A*24:02-B*27:05-C*02:02-DRB1*10:01-DQB1*05:01 | | India South UCBB | 0.0045 | | 11,446 |
|
112 | A*74:01-B*27:02-DRB1*10:01 | | Israel Arab pop 2 | 0.0044 | | 12,301 |
|
113 | A*01:01-B*27:05-C*02:02-DRB1*10:01-DQB1*05:01 | | India South UCBB | 0.0044 | | 11,446 |
|
114 | A*02:131-B*27:02-C*12:03-DRB1*10:01-DQB1*05:01 | | India South UCBB | 0.0044 | | 11,446 |
|
115 | A*33:03-B*27:07-C*15:02-DRB1*10:01-DQB1*05:01 | | India South UCBB | 0.0044 | | 11,446 |
|
116 | A*68:01-B*27:02-C*12:03-DRB1*10:01-DQB1*05:01 | | India South UCBB | 0.0044 | | 11,446 |
|
117 | A*68:01:02-B*27:05:02-C*02:02:02-DRB1*10:01:01-DQB1*05:01:01 | | Poland BMR | 0.0041 | | 23,595 |
|
118 | A*03-B*27-DRB1*10 | | Brazil South East Cord Blood | 0.0040 | | 11,409 |
|
119 | A*24-B*27-DRB1*10 | | Brazil South East Cord Blood | 0.0040 | | 11,409 |
|
120 | A*02:01:01-B*27:02:01-C*02:02:02-DRB1*10:01:01-DQB1*05:01:01 | | Poland BMR | 0.0034 | | 23,595 |
|
121 | A*32:01-B*27:02-DRB1*10:01 | | Israel YemenJews | 0.0032 | | 15,542 |
|
122 | A*33:16-B*27:05-DRB1*10:01 | | Israel YemenJews | 0.0032 | | 15,542 |
|
123 | A*33:17-B*27:05-DRB1*10:01 | | Israel YemenJews | 0.0032 | | 15,542 |
|
124 | A*33:36-B*27:05-DRB1*10:01 | | Israel YemenJews | 0.0032 | | 15,542 |
|
125 | A*02:01:01-B*27:05:02-C*02:02:02-DRB1*10:01:01-DQB1*05:01:01 | | Poland BMR | 0.0027 | | 23,595 |
|
126 | A*02:01-B*27:02-DRB1*10:01 | | Israel USSR Jews | 0.0026 | | 45,681 |
|
127 | A*29:02-B*27:02-C*02:02-DRB1*10:01 | | Poland DKMS | 0.0024 | | 20,653 |
|
128 | A*31:01-B*27:05-C*01:02-DRB1*10:01 | | Poland DKMS | 0.0024 | | 20,653 |
|
129 | A*24:07-B*27:07-C*15:02-DRB1*10:01-DQB1*05:01 | | India South UCBB | 0.0022 | | 11,446 |
|
130 | A*02:01:01-B*27:02:01-C*02:02:02-DRB1*10:01:01-DQB1*06:03:01 | | Poland BMR | 0.0021 | | 23,595 |
|
131 | A*02:01:01-B*27:05:02-C*03:04:01-DRB1*10:01:01-DQB1*06:03:01 | | Poland BMR | 0.0021 | | 23,595 |
|
132 | A*11:01:01-B*27:05:02-C*01:02:01-DRB1*10:01:01-DQB1*02:02:01 | | Poland BMR | 0.0021 | | 23,595 |
|
133 | A*26:01:01-B*27:85-C*02:02:02-DRB1*10:01:01-DQB1*05:01:01 | | Poland BMR | 0.0021 | | 23,595 |
|
134 | A*24:02-B*27:05-DRB1*10:01 | | Israel USSR Jews | 0.0021 | | 45,681 |
|
135 | A*11-B*27-DRB1*10 | | Brazil South East Cord Blood | 0.0020 | | 11,409 |
|
136 | A*32:01:01-B*27:02:01-C*02:02:02-DRB1*10:01:01-DQB1*05:01:01 | | Poland BMR | 0.0018 | | 23,595 |
|
137 | A*32:01-B*27:05-DRB1*10:01 | | Israel Morocco Jews | 0.0014 | | 36,718 |
|
138 | A*11:01-B*27:02-DRB1*10:01 | | Israel Morocco Jews | 0.0014 | | 36,718 |
|
139 | A*29:02-B*27:07-DRB1*10:01 | | Israel Morocco Jews | 0.0014 | | 36,718 |
|
140 | A*24:02:01-B*27:02:01-C*02:02:02-DRB1*10:01:01-DQB1*05:01:01 | | Poland BMR | 0.0008818 | | 23,595 |
|
* 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).