Line |
Haplotype |
Population |
Frequency (%) |
Sample Size |
Distribution¹ |
1,001 | A*24:02:01-B*35:01:01-C*03:03:01-DRB1*04:03:01-DQB1*03:02:01 | | China Zhejiang Han | 0.0288 | | 1,734 |
|
1,002 | A*24:02:01-B*35:01:01-C*03:03:01-DRB1*04:03:01-DQB1*03:02:01 | | Vietnam Kinh | 0.4950 | | 101 |
|
1,003 | A*24:02:01-B*35:01:01-C*03:03:01-DRB1*04:05:01-DPB1*05:01:01 | | Hong Kong Chinese HKBMDR HLA 11 loci | 0.0340 | | 5,266 |
|
1,004 | A*24:02:01-B*35:01:01-C*03:03:01-DRB1*04:06:01-DPB1*02:01:02 | | Hong Kong Chinese HKBMDR HLA 11 loci | 0.0228 | | 5,266 |
|
1,005 | A*24:02:01-B*35:01:01-C*03:03:01-DRB1*08:01:01-DQB1*04:02:01 | | Poland BMR | 0.0024 | | 23,595 |
|
1,006 | A*24:02:01-B*35:01:01-C*03:03:01-DRB1*08:03:02-DPB1*02:01:02 | | Hong Kong Chinese HKBMDR HLA 11 loci | 0.0211 | | 5,266 |
|
1,007 | A*24:02:01-B*35:01:01-C*03:03:01-DRB1*08:03:02-DPB1*05:01:01 | | Hong Kong Chinese HKBMDR HLA 11 loci | 0.0165 | | 5,266 |
|
1,008 | A*24:02:01-B*35:01:01-C*03:03:01-DRB1*08:03:02-DPB1*19:01:01 | | Hong Kong Chinese HKBMDR HLA 11 loci | 0.0078 | | 5,266 |
|
1,009 | A*24:02:01-B*35:01:01-C*03:03:01-DRB1*08:09:01-DPB1*05:01:01 | | Hong Kong Chinese HKBMDR HLA 11 loci | 0.0186 | | 5,266 |
|
1,010 | A*24:02:01-B*35:01:01-C*03:03:01-DRB1*09:01:02-DPB1*02:02:01 | | Hong Kong Chinese HKBMDR HLA 11 loci | 0.0108 | | 5,266 |
|
1,011 | A*24:02:01-B*35:01:01-C*03:03:01-DRB1*09:01:02-DPB1*03:01:01 | | Hong Kong Chinese HKBMDR HLA 11 loci | 0.0125 | | 5,266 |
|
1,012 | A*24:02:01-B*35:01:01-C*03:03:01-DRB1*09:01:02-DPB1*05:01:01 | | Hong Kong Chinese HKBMDR HLA 11 loci | 0.0194 | | 5,266 |
|
1,013 | A*24:02:01-B*35:01:01-C*03:03:01-DRB1*09:01:02-DPB1*414:01 | | Hong Kong Chinese HKBMDR HLA 11 loci | 0.0065 | | 5,266 |
|
1,014 | A*24:02:01-B*35:01:01-C*03:03:01-DRB1*09:01:02-DQB1*03:03:02 | | China Zhejiang Han | 0.0896 | | 1,734 |
|
1,015 | A*24:02:01-B*35:01:01-C*03:03:01-DRB1*11:01:01-DPB1*03:01:01 | | Hong Kong Chinese HKBMDR HLA 11 loci | 0.0246 | | 5,266 |
|
1,016 | A*24:02:01-B*35:01:01-C*03:03:01-DRB1*11:01:01-DPB1*14:01:01 | | Hong Kong Chinese HKBMDR HLA 11 loci | 0.0119 | | 5,266 |
|
1,017 | A*24:02:01-B*35:01:01-C*03:03:01-DRB1*11:01:01-DQB1*03:01:01 | | China Zhejiang Han | 0.0288 | | 1,734 |
|
1,018 | A*24:02:01-B*35:01:01-C*03:03:01-DRB1*11:04:01-DQB1*03:01:01 | | Poland BMR | 0.0017 | | 23,595 |
|
1,019 | A*24:02:01-B*35:01:01-C*03:03:01-DRB1*12:01:01-DQB1*03:01:01 | | China Zhejiang Han | 0.0195 | | 1,734 |
|
1,020 | A*24:02:01-B*35:01:01-C*03:03:01-DRB1*12:02:01-DPB1*03:01:01 | | Hong Kong Chinese HKBMDR HLA 11 loci | 0.0242 | | 5,266 |
|
1,021 | A*24:02:01-B*35:01:01-C*03:03:01-DRB1*14:03:01-DPB1*05:01:01 | | Hong Kong Chinese HKBMDR HLA 11 loci | 0.0074 | | 5,266 |
|
1,022 | A*24:02:01-B*35:01:01-C*03:03:01-DRB1*14:54:01-DPB1*05:01:01 | | Hong Kong Chinese HKBMDR HLA 11 loci | 0.0092 | | 5,266 |
|
1,023 | A*24:02:01-B*35:01:01-C*03:03:01-DRB1*14:54:01-DPB1*13:01:01 | | Hong Kong Chinese HKBMDR HLA 11 loci | 0.0190 | | 5,266 |
|
1,024 | A*24:02:01-B*35:01:01-C*03:03:01-DRB1*14:54:01-DQB1*05:03:01 | | Poland BMR | 0.0020 | | 23,595 |
|
1,025 | A*24:02:01-B*35:01:01-C*03:03:01-DRB1*15:01:01-DPB1*02:01:02 | | Hong Kong Chinese HKBMDR HLA 11 loci | 0.0317 | | 5,266 |
|
1,026 | A*24:02:01-B*35:01:01-C*03:03:01-DRB1*15:01:01-DPB1*05:01:01 | | Hong Kong Chinese HKBMDR HLA 11 loci | 0.0385 | | 5,266 |
|
1,027 | A*24:02:01-B*35:01:01-C*03:03:01-DRB1*15:01:01-DQB1*06:02:01 | | China Zhejiang Han | 0.3288 | | 1,734 |
|
1,028 | A*24:02:01-B*35:01:01-C*03:04:01-DRB1*01:01:01-DQB1*05:01:01 | | Poland BMR | 0.0021 | | 23,595 |
|
1,029 | A*24:02:01-B*35:01:01-C*03:04:01-DRB1*04:07 | | Costa Rica Amerindians (G) | 0.4102 | | 125 |
|
1,030 | A*24:02:01-B*35:01:01-C*03:04:01-DRB1*14:02 | | Costa Rica Amerindians (G) | 3.6695 | | 125 |
|
1,031 | A*24:02:01-B*35:01:01-C*04:01:01 | | England Blood Donors of Mixed Ethnicity | 0.2220 | | 519 |
|
1,032 | A*24:02:01-B*35:01:01-C*04:01:01 | | South African Indian population | 3.0000 | | 50 |
|
1,033 | A*24:02:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*02:01:01 | | Poland BMR | 0.0021 | | 23,595 |
|
1,034 | A*24:02:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*03:01:01 | | Poland BMR | 0.0060 | | 23,595 |
|
1,035 | A*24:02:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*03:02:01 | | Poland BMR | 0.0027 | | 23,595 |
|
1,036 | A*24:02:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01:01 | | Poland BMR | 0.0463 | | 23,595 |
|
1,037 | A*24:02:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01:01 | | Spain, Canary Islands, Gran canaria island | 0.2300 | | 215 |
|
1,038 | A*24:02:01-B*35:01:01-C*04:01:01-DRB1*03:01:01-DQB1*02:01:01 | | Poland BMR | 0.0166 | | 23,595 |
|
1,039 | A*24:02:01-B*35:01:01-C*04:01:01-DRB1*04:01:01-DQA1*03:01:01-DQB1*03:01-DPA1*01:03:01-DPB1*04:01:01 | | Russian Federation Vologda Region | 0.4202 | | 119 |
|
1,040 | A*24:02:01-B*35:01:01-C*04:01:01-DRB1*04:01:01-DQB1*03:01:01 | | Poland BMR | 0.0009444 | | 23,595 |
|
1,041 | A*24:02:01-B*35:01:01-C*04:01:01-DRB1*04:01:01-DQB1*03:02 | | Russia Nizhny Novgorod, Russians | 0.0331 | | 1,510 |
|
1,042 | A*24:02:01-B*35:01:01-C*04:01:01-DRB1*04:01:01-DQB1*03:02:01 | | Poland BMR | 0.0041 | | 23,595 |
|
1,043 | A*24:02:01-B*35:01:01-C*04:01:01-DRB1*04:02:01-DQB1*03:02:01 | | Poland BMR | 0.0162 | | 23,595 |
|
1,044 | A*24:02:01-B*35:01:01-C*04:01:01-DRB1*04:03:01-DQB1*03:02:01 | | India Andhra Pradesh Telugu Speaking | 0.5376 | | 186 |
|
1,045 | A*24:02:01-B*35:01:01-C*04:01:01-DRB1*04:03:01-DQB1*03:02:01 | | Poland BMR | 0.0046 | | 23,595 |
|
1,046 | A*24:02:01-B*35:01:01-C*04:01:01-DRB1*04:03:01-DQB1*03:03:02 | | Poland BMR | 0.0021 | | 23,595 |
|
1,047 | A*24:02:01-B*35:01:01-C*04:01:01-DRB1*04:04:01-DQB1*03:02:01 | | Poland BMR | 0.0089 | | 23,595 |
|
1,048 | A*24:02:01-B*35:01:01-C*04:01:01-DRB1*04:05:01-DPB1*13:01:01 | | Hong Kong Chinese HKBMDR HLA 11 loci | 0.0190 | | 5,266 |
|
1,049 | A*24:02:01-B*35:01:01-C*04:01:01-DRB1*04:05:01-DQB1*02:01 | | Costa Rica Central Valley Mestizo (G) | 0.0882 | | 221 |
|
1,050 | A*24:02:01-B*35:01:01-C*04:01:01-DRB1*04:05:01-DQB1*03:01 | | Costa Rica Central Valley Mestizo (G) | 0.1150 | | 221 |
|
1,051 | A*24:02:01-B*35:01:01-C*04:01:01-DRB1*04:05:01-DQB1*03:02 | | Costa Rica Central Valley Mestizo (G) | 0.0230 | | 221 |
|
1,052 | A*24:02:01-B*35:01:01-C*04:01:01-DRB1*04:05:04 | | Costa Rica Amerindians (G) | 1.2239 | | 125 |
|
1,053 | A*24:02:01-B*35:01:01-C*04:01:01-DRB1*04:05:04 | | Nicaragua Mestizo (G) | 0.3226 | | 155 |
|
1,054 | A*24:02:01-B*35:01:01-C*04:01:01-DRB1*04:07 | | Nicaragua Mestizo (G) | 0.6452 | | 155 |
|
1,055 | A*24:02:01-B*35:01:01-C*04:01:01-DRB1*04:07-DQB1*06:03 | | Costa Rica Central Valley Mestizo (G) | 0.2262 | | 221 |
|
1,056 | A*24:02:01-B*35:01:01-C*04:01:01-DRB1*04:10:01-DQB1*04:02:01 | | India Kerala Malayalam speaking | 0.4210 | | 356 |
|
1,057 | A*24:02:01-B*35:01:01-C*04:01:01-DRB1*07:01:01-DQB1*02:01:01-DPA1*02:01:02-DPB1*17:01:01 | | Brazil Barra Mansa Rio State Black | 2.3810 | | 73 |
|
1,058 | A*24:02:01-B*35:01:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01 | | India Kerala Malayalam speaking | 0.2810 | | 356 |
|
1,059 | A*24:02:01-B*35:01:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01 | | Poland BMR | 0.0149 | | 23,595 |
|
1,060 | A*24:02:01-B*35:01:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*03:01:01 | | Brazil Rio de Janeiro Black | 1.4706 | | 68 |
|
1,061 | A*24:02:01-B*35:01:01-C*04:01:01-DRB1*08:02:01 | | Costa Rica Amerindians (G) | 0.8159 | | 125 |
|
1,062 | A*24:02:01-B*35:01:01-C*04:01:01-DRB1*08:02:01-DQB1*04:02 | | Mexico Hidalgo Mezquital Valley/ Otomi | 0.6944 | | 72 |
|
1,063 | A*24:02:01-B*35:01:01-C*04:01:01-DRB1*08:02:01-DQB1*04:02:01 | | Costa Rica Central Valley Mestizo (G) | 0.9050 | | 221 |
|
1,064 | A*24:02:01-B*35:01:01-C*04:01:01-DRB1*08:03:02-DQB1*03:01 | | Russia Nizhny Novgorod, Russians | 0.0331 | | 1,510 |
|
1,065 | A*24:02:01-B*35:01:01-C*04:01:01-DRB1*08:03:02-DQB1*06:01:01 | | China Zhejiang Han | 0.0288 | | 1,734 |
|
1,066 | A*24:02:01-B*35:01:01-C*04:01:01-DRB1*09:01:02-DPB1*05:01:01 | | Hong Kong Chinese HKBMDR HLA 11 loci | 0.0469 | | 5,266 |
|
1,067 | A*24:02:01-B*35:01:01-C*04:01:01-DRB1*11:01:01-DQB1*03:01 | | Russia Nizhny Novgorod, Russians | 0.0331 | | 1,510 |
|
1,068 | A*24:02:01-B*35:01:01-C*04:01:01-DRB1*11:01:01-DQB1*03:01:01 | | India Kerala Malayalam speaking | 0.7020 | | 356 |
|
1,069 | A*24:02:01-B*35:01:01-C*04:01:01-DRB1*11:01:01-DQB1*03:01:01 | | India Andhra Pradesh Telugu Speaking | 0.5376 | | 186 |
|
1,070 | A*24:02:01-B*35:01:01-C*04:01:01-DRB1*11:01:01-DQB1*03:01:01 | | Poland BMR | 0.0115 | | 23,595 |
|
1,071 | A*24:02:01-B*35:01:01-C*04:01:01-DRB1*11:03:01-DQB1*03:01:01 | | Poland BMR | 0.0053 | | 23,595 |
|
1,072 | A*24:02:01-B*35:01:01-C*04:01:01-DRB1*12:02:01-DQB1*03:01:01 | | China Zhejiang Han | 0.0288 | | 1,734 |
|
1,073 | A*24:02:01-B*35:01:01-C*04:01:01-DRB1*13:01:01-DQB1*03:02:01 | | India Andhra Pradesh Telugu Speaking | 0.2688 | | 186 |
|
1,074 | A*24:02:01-B*35:01:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01 | | Poland BMR | 0.0269 | | 23,595 |
|
1,075 | A*24:02:01-B*35:01:01-C*04:01:01-DRB1*13:02:01-DQB1*06:04:01 | | Poland BMR | 0.0031 | | 23,595 |
|
1,076 | A*24:02:01-B*35:01:01-C*04:01:01-DRB1*13:03:01-DQA1*05:05:01-DQB1*03:01-DPA1*01:03:01-DPB1*04:01 | | Russian Federation Vologda Region | 0.4202 | | 119 |
|
1,077 | A*24:02:01-B*35:01:01-C*04:01:01-DRB1*13:03:01-DQB1*03:01 | | Russia Nizhny Novgorod, Russians | 0.2318 | | 1,510 |
|
1,078 | A*24:02:01-B*35:01:01-C*04:01:01-DRB1*13:03:01-DQB1*03:01:01 | | Poland BMR | 0.0463 | | 23,595 |
|
1,079 | A*24:02:01-B*35:01:01-C*04:01:01-DRB1*13:05:01-DQB1*02:02:01 | | Poland BMR | 0.0021 | | 23,595 |
|
1,080 | A*24:02:01-B*35:01:01-C*04:01:01-DRB1*14:02 | | Costa Rica Amerindians (G) | 0.4080 | | 125 |
|
1,081 | A*24:02:01-B*35:01:01-C*04:01:01-DRB1*14:04:01-DQB1*03:01:01 | | India Karnataka Kannada Speaking | 0.2870 | | 174 |
|
1,082 | A*24:02:01-B*35:01:01-C*04:01:01-DRB1*14:54:01-DQB1*05:03:01 | | Poland BMR | 0.0232 | | 23,595 |
|
1,083 | A*24:02:01-B*35:01:01-C*04:01:01-DRB1*15:01 | | Costa Rica Amerindians (G) | 0.4080 | | 125 |
|
1,084 | A*24:02:01-B*35:01:01-C*04:01:01-DRB1*15:01 | | Costa Rica African -Caribbean (G) | 0.4902 | | 102 |
|
1,085 | A*24:02:01-B*35:01:01-C*04:01:01-DRB1*15:01:01-DPB1*02:02:01 | | Hong Kong Chinese HKBMDR HLA 11 loci | 0.0079 | | 5,266 |
|
1,086 | A*24:02:01-B*35:01:01-C*04:01:01-DRB1*15:01:01-DQB1*05:02:01 | | Poland BMR | 0.0118 | | 23,595 |
|
1,087 | A*24:02:01-B*35:01:01-C*04:01:01-DRB1*15:01:01-DQB1*06:02:01 | | Poland BMR | 0.0122 | | 23,595 |
|
1,088 | A*24:02:01-B*35:01:01-C*04:01:01-DRB1*16:01:01-DQB1*05:02:01 | | Poland BMR | 0.0079 | | 23,595 |
|
1,089 | A*24:02:01-B*35:01:01-C*04:01:01-DRB1*16:01-DQB1*05:02:01-DPB1*02:01:02 | | Saudi Arabia pop 6 (G) | 0.1140 | | 28,927 |
|
1,090 | A*24:02:01-B*35:01:01-C*04:01:01-DRB1*16:01-DQB1*05:02:01-DPB1*04:01:01 | | Saudi Arabia pop 6 (G) | 0.1241 | | 28,927 |
|
1,091 | A*24:02:01-B*35:01:01-C*04:01:01-DRB1*16:02:01 | | Costa Rica Amerindians (G) | 0.4080 | | 125 |
|
1,092 | A*24:02:01-B*35:01:01-C*05:01:01-DRB1*07:01:01-DQB1*02:02:01 | | Poland BMR | 0.0008792 | | 23,595 |
|
1,093 | A*24:02:01-B*35:01:01-C*05:01:01-DRB1*11:01:01-DQB1*03:01:01 | | Poland BMR | 0.0034 | | 23,595 |
|
1,094 | A*24:02:01-B*35:01:01-C*06:02:01-DRB1*04:07 | | Nicaragua Mestizo (G) | 0.3226 | | 155 |
|
1,095 | A*24:02:01-B*35:01:01-C*07:02:01-DRB1*11:01:01-DQB1*04:02:01 | | Poland BMR | 0.0021 | | 23,595 |
|
1,096 | A*24:02:01-B*35:01:01-C*07:02:01-DRB1*13:02:01 | | Nicaragua Mestizo (G) | 0.3226 | | 155 |
|
1,097 | A*24:02:01-B*35:01:01-C*07:02:01-DRB1*14:54:01-DQB1*05:03 | | Russia Bashkortostan, Bashkirs | 0.4167 | | 120 |
|
1,098 | A*24:02:01-B*35:01:01-C*08:01:01-DRB1*12:01:01-DPB1*05:01:01 | | Hong Kong Chinese HKBMDR HLA 11 loci | 0.0180 | | 5,266 |
|
1,099 | A*24:02:01-B*35:01:01-C*08:01:01-DRB1*12:01:01-DQB1*03:03:02 | | China Zhejiang Han | 0.0288 | | 1,734 |
|
1,100 | A*24:02:01-B*35:01:01-C*12:02:02-DRB1*15:01:01-DPB1*05:01:01 | | Hong Kong Chinese HKBMDR HLA 11 loci | 0.0190 | | 5,266 |
|
* 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).