Line |
Haplotype |
Population |
Frequency (%) |
Sample Size |
Distribution¹ |
9,001 | A*26:32-B*38:01-DRB1*14:01 | | Israel Morocco Jews | 0.0006810 | | 36,718 |
|
9,002 | A*26:01-B*35:02-DRB1*15:02 | | Israel USSR Jews | 0.0006670 | | 45,681 |
|
9,003 | A*26:08-B*08:01:01-C*07:01:01-DRB1*07:01:01-DQB1*03:03:02 | | Poland BMR | 0.0006433 | | 23,595 |
|
9,004 | A*26:01-B*08:01-DRB1*01:01 | | Israel USSR Jews | 0.0006430 | | 45,681 |
|
9,005 | A*26:01:01-B*40:01:02-C*03:04:01-DRB1*11:04:01-DQB1*03:01:01 | | Poland BMR | 0.0006233 | | 23,595 |
|
9,006 | A*26:01-B*50:01-DRB1*15:02 | | Israel USSR Jews | 0.0006210 | | 45,681 |
|
9,007 | A*26:01-B*18:01-C*07:01-DRB1*11:01 | | Poland DKMS | 0.0006000 | | 20,653 |
|
9,008 | A*26:01-B*54:01 | | China Hubei Han | 0.0006000 | | 3,732 |
|
9,009 | A*26:01-C*12:02 | | China Hubei Han | 0.0006000 | | 3,732 |
|
9,010 | A*26:01:01-B*41:02:01-C*17:03-DRB1*15:01:01-DQB1*06:02:01 | | Poland BMR | 0.0005632 | | 23,595 |
|
9,011 | A*26:01:01-B*13:02:01-C*06:02:01-DRB1*01:01:01-DQB1*02:01:01 | | Poland BMR | 0.0005506 | | 23,595 |
|
9,012 | A*26:01-B*38:09-DRB1*04:02 | | Israel USSR Jews | 0.0005470 | | 45,681 |
|
9,013 | A*26:01-B*38:09-DRB1*04:04 | | Israel USSR Jews | 0.0005470 | | 45,681 |
|
9,014 | A*26:02-B*35:01-DRB1*04:02 | | Israel USSR Jews | 0.0005470 | | 45,681 |
|
9,015 | A*26:02-B*35:01-DRB1*04:07 | | Israel USSR Jews | 0.0005470 | | 45,681 |
|
9,016 | A*26:02-B*38:01-DRB1*08:03 | | Israel USSR Jews | 0.0005470 | | 45,681 |
|
9,017 | A*26:02-B*38:01-DRB1*12:01 | | Israel USSR Jews | 0.0005470 | | 45,681 |
|
9,018 | A*26:09-B*38:01-DRB1*04:02 | | Israel USSR Jews | 0.0005470 | | 45,681 |
|
9,019 | A*26:16-B*08:34-DRB1*03:01 | | Israel USSR Jews | 0.0005470 | | 45,681 |
|
9,020 | A*26:19-B*38:01-DRB1*04:02 | | Israel USSR Jews | 0.0005470 | | 45,681 |
|
9,021 | A*26:20-B*38:01-DRB1*04:02 | | Israel USSR Jews | 0.0005470 | | 45,681 |
|
9,022 | A*26:32-B*08:34-DRB1*03:01 | | Israel USSR Jews | 0.0005470 | | 45,681 |
|
9,023 | A*26:35-B*38:01-DRB1*04:02 | | Israel USSR Jews | 0.0005470 | | 45,681 |
|
9,024 | A*26:01-B*08:01-C*07:02-DRB1*07:01-DQB1*02:03 | | India Tamil Nadu | 0.0005430 | | 2,492 |
|
9,025 | A*26:01-B*08:01-C*07:02-DRB1*07:01-DQB1*02:05 | | India Tamil Nadu | 0.0005430 | | 2,492 |
|
9,026 | A*26:01:01-B*27:05:02-C*02:02:02-DRB1*01:01:01-DQB1*03:02:01 | | Poland BMR | 0.0005200 | | 23,595 |
|
9,027 | A*26:01-B*40:02-C*03:04-DRB1*09:01-DRB4*01:01-DQB1*03:03 | | USA NMDP European Caucasian | 0.0005200 | | 1,242,890 |
|
9,028 | A*26:01-B*07:05-C*15:05-DRB1*10:01 | | Poland DKMS | 0.0005000 | | 20,653 |
|
9,029 | A*26:01-B*48:01 | | China Hubei Han | 0.0005000 | | 3,732 |
|
9,030 | A*26:01-C*04:01 | | China Hubei Han | 0.0005000 | | 3,732 |
|
9,031 | A*26:08-B*51:01:01-C*07:01:01-DRB1*11:04:01-DQB1*03:01:01 | | Poland BMR | 0.0004332 | | 23,595 |
|
9,032 | A*26:01-B*51:01-C*14:02-DRB1*14:01-DQB1*05:03 | | India Tamil Nadu | 0.0004040 | | 2,492 |
|
9,033 | A*26:01-B*51:01-C*14:02-DRB1*14:07-DQB1*05:03 | | India Tamil Nadu | 0.0004040 | | 2,492 |
|
9,034 | A*26:01-B*51:01-C*14:02-DRB1*14:15-DQB1*05:03 | | India Tamil Nadu | 0.0004040 | | 2,492 |
|
9,035 | A*26:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*03:03:02 | | Poland BMR | 0.0003954 | | 23,595 |
|
9,036 | A*26:01-B*51:06-C*14:02-DRB1*14:01-DQB1*05:03 | | India Tamil Nadu | 0.0003520 | | 2,492 |
|
9,037 | A*26:01-B*51:06-C*14:02-DRB1*14:07-DQB1*05:03 | | India Tamil Nadu | 0.0003520 | | 2,492 |
|
9,038 | A*26:01-B*51:06-C*14:02-DRB1*14:15-DQB1*05:03 | | India Tamil Nadu | 0.0003520 | | 2,492 |
|
9,039 | A*26:08-B*35:01:01-C*04:01:01-DRB1*04:02:01-DQB1*03:02:01 | | Poland BMR | 0.0003040 | | 23,595 |
|
9,040 | A*26:01-B*39:01-C*07:02-DRB1*08:01 | | Poland DKMS | 0.0002000 | | 20,653 |
|
9,041 | A*26:01-B*51:01-C*12:03-DRB1*04:01 | | Poland DKMS | 0.0002000 | | 20,653 |
|
9,042 | A*26:01:01-B*14:01:01-C*08:02:01-DRB1*07:01:01-DQB1*06:03:01 | | Poland BMR | 0.0001596 | | 23,595 |
|
9,043 | A*26:01:01-B*35:01:01-C*04:01:01-DRB1*14:01:01-DQB1*05:03:01 | | Poland BMR | 0.0001375 | | 23,595 |
|
9,044 | A*26:08-B*44:02:01-C*07:04:01-DRB1*11:01:01-DQB1*03:01:01 | | Poland BMR | 0.0001335 | | 23,595 |
|
9,045 | A*26:08-B*27:05:02-C*02:02:02-DRB1*01:01:01-DQB1*05:01:01 | | Poland BMR | 0.0001297 | | 23,595 |
|
9,046 | A*26:01:01-B*57:01:01-C*06:02:01-DRB1*08:01:01-DQB1*04:02:01 | | Poland BMR | 0.0001168 | | 23,595 |
|
9,047 | A*26:01:01-B*40:01:02-C*03:04:01-DRB1*04:01:01-DQB1*03:01:01 | | Poland BMR | 0.0001055 | | 23,595 |
|
9,048 | A*26:01:01-B*35:01:01-C*04:01:01-DRB1*04:04:01-DQB1*03:02:01 | | Poland BMR | 0.0001020 | | 23,595 |
|
9,049 | A*26:01-B*35:01-C*05:01-DRB1*11:01 | | Poland DKMS | 0.0001000 | | 20,653 |
|
9,050 | A*26:01-B*44:03-C*16:02-DRB1*04:02 | | Poland DKMS | 0.0001000 | | 20,653 |
|
9,051 | A*26:01-B*35:03-C*04:01-DRB1*15:01-DQB1*06:01 | | India Tamil Nadu | 0.0000280 | | 2,492 |
|
9,052 | A*26:01-B*40:06-C*15:02-DRB1*15:02-DQB1*06:01 | | India Tamil Nadu | 0.0000224 | | 2,492 |
|
9,053 | A*26:01-B*38:02-C*07:02-DRB1*15:02-DRB5*01:02-DQB1*05:01 | | USA NMDP South Asian Indian | 0.0000220 | | 185,391 |
|
9,054 | A*26:01-B*51:06-C*14:02-DRB1*10:01-DQB1*05:01 | | India Tamil Nadu | 0.0000170 | | 2,492 |
|
9,055 | A*26:01-B*51:01-C*14:02-DRB1*10:02-DQB1*05:01 | | India Tamil Nadu | 0.0000034 | | 2,492 |
|
9,056 | A*26:01-B*51:06-C*14:02-DRB1*10:02-DQB1*05:01 | | India Tamil Nadu | 0.0000034 | | 2,492 |
|
9,057 | A*26:01-B*18:01-C*07:01-DRB1*04:01-DQB1*03:02 | | India Tamil Nadu | 0.0000028 | | 2,492 |
|
9,058 | A*26:01-B*18:01-C*07:01-DRB1*04:04-DQB1*03:02 | | India Tamil Nadu | 0.0000028 | | 2,492 |
|
9,059 | A*26:01-B*18:01-C*07:01-DRB1*04:08-DQB1*03:01 | | India Tamil Nadu | 0.0000028 | | 2,492 |
|
9,060 | A*26:01-B*51:06-C*14:02-DRB1*13:01-DQB1*06:03 | | India Tamil Nadu | 0.0000021 | | 2,492 |
|
9,061 | A*26:01-B*07:02-C*07:02 | | Italy pop 5 | 0.0000000 | | 975 |
|
9,062 | A*26:01-B*35:01-C*04:01-DRB1*07:01 | | Poland DKMS | 0.0000000 | | 20,653 |
|
9,063 | A*26:01-B*40:02-C*03:03-DRB1*09:01 | | Poland DKMS | 0.0000000 | | 20,653 |
|
* 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).