Line |
Haplotype |
Population |
Frequency (%) |
Sample Size |
Distribution¹ |
1,001 | A*01-B*08-DRB1*03 | | Brazil Rio Grande do Sul Caucasoid | 3.0000 | | 4,428 |
|
1,002 | A*01-B*08-DRB1*03 | | Brazil Rio Grande do Sul Mixed | 2.0000 | | 324 |
|
1,003 | A*01-B*08-DRB1*03 | | Brazil South Ribeirao Preto | 1.7000 | | 184 |
|
1,004 | A*01-B*08-DRB1*03 | | Brazil Parana Caucasian | 2.5000 | | 2,775 |
|
1,005 | A*01-B*08-DRB1*03 | | Brazil Parana Cafuzo | 2.3000 | | 319 |
|
1,006 | A*01-B*08-DRB1*03 | | Brazil Parana Mixed race | 1.6000 | | 186 |
|
1,007 | A*01-B*08-DRB1*03 | | Brazil Parana Afro Brazilian | 1.9000 | | 77 |
|
1,008 | A*01-B*08-DRB1*03 | | Brazil Minas Gerais State Mixed | 2.1000 | | 1,000 |
|
1,009 | A*01-B*08-DRB1*03 | | Brazil South East Cord Blood | 1.8070 | | 11,409 |
|
1,010 | A*01-B*08-DRB1*03 | | Brazil Para Cord Blood Unit | 1.3068 | | 841 |
|
1,011 | A*01-B*08-DRB1*03 | | Brazil Para State | 1.2481 | | 5,000 |
|
1,012 | A*01-B*08-DRB1*03 | | China Shaanxi Province Han | 0.3000 | | 10,000 |
|
1,013 | A*01-B*08-DRB1*03 | | Germany pop 7 | 0.6000 | | 13,386 |
|
1,014 | A*01-B*08-DRB1*03 | | Iran pop 4 | 0.1401 | | 855 |
|
1,015 | A*01-B*08-DRB1*03 | | Iraq Erbil | 0.8000 | | 372 |
|
1,016 | A*01-B*08-DRB1*03 | | Italy Lombardy | 1.9300 | | 674 |
|
1,017 | A*01-B*08-DRB1*03 | | Macedonia | 2.7972 | | 286 |
|
1,018 | A*01-B*08-DRB1*03 | | Portugal Aveiro | 3.1000 | | 5,933 |
|
1,019 | A*01-B*08-DRB1*03 | | Portugal Beja | 2.1000 | | 699 |
|
1,020 | A*01-B*08-DRB1*03 | | Portugal Braga | 3.7000 | | 1,971 |
|
1,021 | A*01-B*08-DRB1*03 | | Portugal Bragança | 2.8000 | | 301 |
|
1,022 | A*01-B*08-DRB1*03 | | Portugal Castelo Branco | 3.9000 | | 327 |
|
1,023 | A*01-B*08-DRB1*03 | | Portugal Coimbra | 3.2000 | | 5,057 |
|
1,024 | A*01-B*08-DRB1*03 | | Portugal Evora | 2.3000 | | 737 |
|
1,025 | A*01-B*08-DRB1*03 | | Portugal Faro | 2.4000 | | 1,242 |
|
1,026 | A*01-B*08-DRB1*03 | | Portugal Guarda | 2.9000 | | 797 |
|
1,027 | A*01-B*08-DRB1*03 | | Portugal Leiria | 3.4000 | | 1,847 |
|
1,028 | A*01-B*08-DRB1*03 | | Portugal Lisbon | 2.7000 | | 17,420 |
|
1,029 | A*01-B*08-DRB1*03 | | Portugal Portalegre | 3.0000 | | 1,254 |
|
1,030 | A*01-B*08-DRB1*03 | | Portugal Porto | 3.4000 | | 7,937 |
|
1,031 | A*01-B*08-DRB1*03 | | Portugal Santarem | 3.2000 | | 3,865 |
|
1,032 | A*01-B*08-DRB1*03 | | Portugal Setubal | 2.7000 | | 5,268 |
|
1,033 | A*01-B*08-DRB1*03 | | Portugal Viana do Castelo | 2.7000 | | 706 |
|
1,034 | A*01-B*08-DRB1*03 | | Portugal Vila Real | 3.6000 | | 1,167 |
|
1,035 | A*01-B*08-DRB1*03 | | Portugal Viseu | 2.8000 | | 2,915 |
|
1,036 | A*01-B*08-DRB1*03 | | Azores | 3.3000 | | 1,050 |
|
1,037 | A*01-B*08-DRB1*03 | | Madeira pop 3 | 2.8000 | | 538 |
|
1,038 | A*01-B*08-DRB1*03 | | Portugal South pop 2 | 3.0000 | | 1,021 |
|
1,039 | A*01-B*08-DRB1*03 | | Russia South Ural Bashkir | 2.4000 | | 146 |
|
1,040 | A*01-B*08-DRB1*03 | | Russia South Ural Russian | 5.0000 | | 207 |
|
1,041 | A*01-B*08-DRB1*03 | | Russia South Ural Tatar | 1.5000 | | 135 |
|
1,042 | A*01-B*08-DRB1*03 | | Russia Moscow Pop 2 | 4.1300 | | 2,000 |
|
1,043 | A*01-B*08-DRB1*03 | | Wales | 10.1000 | | 1,798 |
|
1,044 | A*01-B*08-DRB1*03:01 | | Chile Santiago | 1.3818 | | 920 |
|
1,045 | A*01-B*08-DRB1*03:01 | | Colombia Barranquilla | 0.8000 | | 188 |
|
1,046 | A*01-B*08-DRB1*03:01 | | Greece North | 2.1000 | | 500 |
|
1,047 | A*01-B*08-DRB1*03:01 | | USA NMDP African American | 1.2000 | | 412,861 |
|
1,048 | A*01-B*08-DRB1*03:01 | | USA NMDP Asian and Pacific Islander | 0.3000 | | 359,423 |
|
1,049 | A*01-B*08-DRB1*03:01 | | USA NMDP Hispanic | 1.7000 | | 449,844 |
|
1,050 | A*01-B*08-DRB1*03:01 | | USA NMDP Caucasian | 6.2000 | | 2,361,208 |
|
1,051 | A*01-B*08-DRB1*03:01-DQA1*05:01-DQB1*02 | | Greece Crete | 1.1000 | | 135 |
|
1,052 | A*01-B*08-DRB1*03:01-DQA1*05:01-DQB1*02:01 | | Brazil Paraná Caucasian | 2.8848 | | 641 |
|
1,053 | A*01-B*08-DRB1*03:01-DQB1*02 | | Cuba Mixed | 3.2000 | | 78 |
|
1,054 | A*01-B*08-DRB1*03:01-DQB1*02 | | Ecuador Mixed Ancestry | 0.6394 | | 1,173 |
|
1,055 | A*01-B*08-DRB1*03:01-DQB1*02 | | Ecuador Coast Mixed Ancestry | 0.4202 | | 238 |
|
1,056 | A*01-B*08-DRB1*03:01-DQB1*02 | | Ecuador Andes Mixed Ancestry | 0.7888 | | 824 |
|
1,057 | A*01-B*08-DRB1*03:01-DQB1*02 | | Guatemala, Guatemala City Mixed Ancestry | 1.5700 | | 127 |
|
1,058 | A*01-B*08-DRB1*03:01-DQB1*02 | | Macedonia pop 3 | 4.9000 | | 172 |
|
1,059 | A*01-B*08-DRB1*03:01-DQB1*02 | | Mexico Mexico City Mestizo | 1.2000 | | 121 |
|
1,060 | A*01-B*08-DRB1*03:01-DQB1*02 | | Mexico Campeche Rural | 2.1277 | | 47 |
|
1,061 | A*01-B*08-DRB1*03:01-DQB1*02 | | Mexico Yucatan Rural | 0.7463 | | 132 |
|
1,062 | A*01-B*08-DRB1*03:01-DQB1*02 | | Mexico Baja California, Tijuana | 2.0000 | | 25 |
|
1,063 | A*01-B*08-DRB1*03:01-DQB1*02 | | Mexico Puebla Rural | 0.7794 | | 833 |
|
1,064 | A*01-B*08-DRB1*03:01-DQB1*02 | | Mexico Mexico City Metropolitan Area Rural | 0.6579 | | 150 |
|
1,065 | A*01-B*08-DRB1*03:01-DQB1*02 | | Mexico Tlaxcala Rural | 0.2410 | | 830 |
|
1,066 | A*01-B*08-DRB1*03:01-DQB1*02 | | Mexico Oaxaca Rural | 0.4107 | | 485 |
|
1,067 | A*01-B*08-DRB1*03:01-DQB1*02 | | Mexico Morelos Rural | 6.6667 | | 30 |
|
1,068 | A*01-B*08-DRB1*03:01-DQB1*02 | | Mexico Tabasco Rural | 0.7042 | | 142 |
|
1,069 | A*01-B*08-DRB1*03:01-DQB1*02 | | Mexico Queretaro Rural | 1.1628 | | 43 |
|
1,070 | A*01-B*08-DRB1*03:01-DQB1*02 | | Mexico Tamaulipas Rural | 1.5873 | | 125 |
|
1,071 | A*01-B*08-DRB1*03:01-DQB1*02 | | Mexico San Luis Potosi Rural | 0.5747 | | 87 |
|
1,072 | A*01-B*08-DRB1*03:01-DQB1*02 | | Mexico Veracruz Rural | 0.4621 | | 539 |
|
1,073 | A*01-B*08-DRB1*03:01-DQB1*02 | | Mexico Guanajuato Rural | 1.2270 | | 162 |
|
1,074 | A*01-B*08-DRB1*03:01-DQB1*02 | | Mexico Colima Rural | 1.1364 | | 43 |
|
1,075 | A*01-B*08-DRB1*03:01-DQB1*02 | | Mexico Nuevo Leon Rural | 0.2273 | | 439 |
|
1,076 | A*01-B*08-DRB1*03:01-DQB1*02 | | Mexico Mexico City Center | 0.9740 | | 152 |
|
1,077 | A*01-B*08-DRB1*03:01-DQB1*02 | | Mexico Hidalgo, Pachuca | 1.2195 | | 41 |
|
1,078 | A*01-B*08-DRB1*03:01-DQB1*02 | | Mexico Veracruz, Xalapa | 1.8717 | | 187 |
|
1,079 | A*01-B*08-DRB1*03:01-DQB1*02 | | Mexico Tlaxcala, Tlaxcala city | 3.0387 | | 181 |
|
1,080 | A*01-B*08-DRB1*03:01-DQB1*02 | | Mexico Mexico City North | 0.7304 | | 751 |
|
1,081 | A*01-B*08-DRB1*03:01-DQB1*02 | | Mexico Yucatan, Merida | 1.0256 | | 192 |
|
1,082 | A*01-B*08-DRB1*03:01-DQB1*02 | | Mexico Campeche, Campeche city | 1.4706 | | 34 |
|
1,083 | A*01-B*08-DRB1*03:01-DQB1*02 | | Mexico Chiapas, Tuxtla Gutierrez | 0.9434 | | 52 |
|
1,084 | A*01-B*08-DRB1*03:01-DQB1*02 | | Mexico Tabasco, Villahermosa | 0.6098 | | 82 |
|
1,085 | A*01-B*08-DRB1*03:01-DQB1*02 | | Mexico Morelos, Cuernavaca | 2.4390 | | 82 |
|
1,086 | A*01-B*08-DRB1*03:01-DQB1*02 | | Mexico Oaxaca, Oaxaca city | 0.6623 | | 151 |
|
1,087 | A*01-B*08-DRB1*03:01-DQB1*02 | | Mexico Guerrero state | 0.6944 | | 144 |
|
1,088 | A*01-B*08-DRB1*03:01-DQB1*02 | | Mexico Puebla, Puebla city | 0.3257 | | 1,994 |
|
1,089 | A*01-B*08-DRB1*03:01-DQB1*02 | | Mexico Chihuahua, Ciudad Juarez | 0.9259 | | 106 |
|
1,090 | A*01-B*08-DRB1*03:01-DQB1*02 | | Mexico Chihuahua Chihuahua City | 0.4202 | | 119 |
|
1,091 | A*01-B*08-DRB1*03:01-DQB1*02 | | Mexico Coahuila, Saltillo | 2.0548 | | 72 |
|
1,092 | A*01-B*08-DRB1*03:01-DQB1*02 | | Mexico Durango, Durango city | 0.9677 | | 153 |
|
1,093 | A*01-B*08-DRB1*03:01-DQB1*02 | | Mexico Nuevo Leon, Monterrey city | 2.6549 | | 226 |
|
1,094 | A*01-B*08-DRB1*03:01-DQB1*02 | | Mexico Nayarit, Tepic | 0.5155 | | 97 |
|
1,095 | A*01-B*08-DRB1*03:01-DQB1*02 | | Mexico Zacatecas, Fresnillo | 2.3810 | | 103 |
|
1,096 | A*01-B*08-DRB1*03:01-DQB1*02 | | Mexico Zacatecas, Zacatecas city | 1.1905 | | 84 |
|
1,097 | A*01-B*08-DRB1*03:01-DQB1*02 | | Mexico Guanajuato, Leon | 1.9231 | | 78 |
|
1,098 | A*01-B*08-DRB1*03:01-DQB1*02 | | Mexico Michoacan, Morelia | 0.9934 | | 150 |
|
1,099 | A*01-B*08-DRB1*03:01-DQB1*02 | | Mexico Jalisco, Zapopan | 0.8929 | | 168 |
|
1,100 | A*01-B*08-DRB1*03:01-DQB1*02 | | Mexico Jalisco, Guadalajara city | 1.4238 | | 1,189 |
|
* 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).