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Line |
Allele |
Population |
% of individuals
that have the allele |
Allele
Frequency
(in_decimals) |
Sample
Size |
IMGT/HLA¹
Database |
Distribution² |
Haplotype³
Association |
Notesª |
1,001 |
A*01:03 | | Italy Bergamo | 0.0 | 0 | | 101 | See | | | |
1,002 |
A*01:03 | | Italy North pop 3 | 0.0 | 0 | | 97 | See | | | |
1,003 |
A*01:03 | | Kenya | | 0.0070 | | 144 | See | | | |
1,004 |
A*01:03 | | Kenya Luo | | 0 | | 265 | See | | | |
1,005 |
A*01:03 | | Kenya Nandi | | 0.0170 | | 240 | See | | | |
1,006 |
A*01:03 | | Kenya, Nyanza Province, Luo tribe | 1.0 | 0.0050 | | 100 | See | | |
|
1,007 |
A*01:03 | | Malaysia Peninsular Indian | 0.7 | 0.0037 | | 271 | See | | |
|
1,008 |
A*01:03 | | Malaysia Peninsular Malay | 0.1 | 0.0005 | | 951 | See | | |
|
1,009 |
A*01:03 | | Mali Bandiagara | | 0 | | 138 | See | | | |
1,010 |
A*01:03 | | Mexico Mexico City Mestizo pop 2 | | 0.0021 | | 234 | See | | | |
1,011 |
A*01:03 | | Morocco Nador Metalsa pop 2 | | 0 | | 73 | See | | | |
1,012 |
A*01:03 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
1,013 |
A*01:03 | | Netherlands Leiden | | 0 | | 1,305 | See | | | |
1,014 |
A*01:03 | | Philippines Ivatan | 0.0 | 0 | | 50 | See | | | |
1,015 |
A*01:03 | | Poland DKMS | | 0.0002 | | 20,653 | See | | | |
1,016 |
A*01:03 | | Russia Nizhny Novgorod, Russians | 0.0662 | 0.0003 | | 1,510 | See | | |
|
1,017 |
A*01:03 | | Saudi Arabia Guraiat and Hail | 1.4 | 0.0070 | | 213 | See | | | |
1,018 |
A*01:03 | | Saudi Arabia pop 5 | 1.3 | 0.0063 | | 158 | See | | | |
1,019 |
A*01:03 | | Saudi Arabia pop 6 (G) | | 0.0061 (*) | | 28,927 | See | | | |
1,020 |
A*01:03 | | South Africa Caucasians | | 0 | | 102 | See | | | |
1,021 |
A*01:03 | | South Korea pop 3 | | 0 | | 485 | See | | | |
1,022 |
A*01:03 | | Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, | 0.2 | 0.0008 | | 4,335 | See | | |
|
1,023 |
A*01:03 | | Sudan Mixed | 3.0 | 0.0150 | | 200 | See | | | |
1,024 |
A*01:03 | | Taiwan Ami | 0.0 | 0 | | 98 | See | | | |
1,025 |
A*01:03 | | Taiwan Atayal | 0.0 | 0 | | 106 | See | | | |
1,026 |
A*01:03 | | Taiwan Bunun | 0.0 | 0 | | 101 | See | | | |
1,027 |
A*01:03 | | Taiwan Hakka | 0.0 | 0 | | 55 | See | | | |
1,028 |
A*01:03 | | Taiwan Han Chinese | | 0.0020 | | 504 | See | | | |
1,029 |
A*01:03 | | Taiwan Minnan pop 1 | 0.0 | 0 | | 102 | See | | | |
1,030 |
A*01:03 | | Taiwan Paiwan | 0.0 | 0 | | 51 | See | | | |
1,031 |
A*01:03 | | Taiwan Pazeh | 0.0 | 0 | | 55 | See | | | |
1,032 |
A*01:03 | | Taiwan Puyuma | 0.0 | 0 | | 50 | See | | | |
1,033 |
A*01:03 | | Taiwan Rukai | 0.0 | 0 | | 50 | See | | | |
1,034 |
A*01:03 | | Taiwan Saisiat | 0.0 | 0 | | 51 | See | | | |
1,035 |
A*01:03 | | Taiwan Siraya | 0.0 | 0 | | 51 | See | | | |
1,036 |
A*01:03 | | Taiwan Tao | 0.0 | 0 | | 50 | See | | | |
1,037 |
A*01:03 | | Taiwan Taroko | 0.0 | 0 | | 55 | See | | | |
1,038 |
A*01:03 | | Taiwan Thao | 0.0 | 0 | | 30 | See | | | |
1,039 |
A*01:03 | | Taiwan Tsou | 0.0 | 0 | | 51 | See | | | |
1,040 |
A*01:03 | | Tanzania Maasai | 5.4 | 0.0269 | | 336 | See | | |
|
1,041 |
A*01:03 | | Tunisia | 0.0 | 0 | | 100 | See | | | |
1,042 |
A*01:03 | | Uganda Kampala | | 0 | | 161 | See | | | |
1,043 |
A*01:03 | | Uganda Kampala pop 2 | | 0.0030 | | 175 | See | | | |
1,044 |
A*01:03 | | United Arab Emirates Abu Dhabi | | 0.0096 | | 52 | See | | |
|
1,045 |
A*01:03 | | United Arab Emirates Pop 1 | | 0.0140 | | 570 | See | | |
|
1,046 |
A*01:03 | | USA African American Bethesda | 0.0 | 0 | | 187 | See | | | |
1,047 |
A*01:03 | | USA African American pop 4 | | 0.0002 | | 2,411 | See | | | |
1,048 |
A*01:03 | | USA Alaska Yupik | | 0 | | 252 | See | | | |
1,049 |
A*01:03 | | USA Asian pop 2 | | 0 | | 1,772 | See | | | |
1,050 |
A*01:03 | | USA Caucasian Bethesda | 0.0 | 0 | | 307 | See | | | |
1,051 |
A*01:03 | | USA Hispanic pop 2 | | 0 | | 1,999 | See | | | |
1,052 |
A*01:03 | | USA NMDP African | | 0.0025 | | 28,557 | See | | | |
1,053 |
A*01:03 | | USA NMDP African American pop 2 | | 0.0000580 | | 416,581 | See | | | |
1,054 |
A*01:03 | | USA NMDP Caribean Black | | 0.0000600 | | 33,328 | See | | | |
1,055 |
A*01:03 | | USA NMDP Caribean Hispanic | | 0.0000610 | | 115,374 | See | | | |
1,056 |
A*01:03 | | USA NMDP Chinese | | 0.0000700 | | 99,672 | See | | | |
1,057 |
A*01:03 | | USA NMDP European Caucasian | | 0.0001 | | 1,242,890 | See | | | |
1,058 |
A*01:03 | | USA NMDP Filipino | | 0.0002 | | 50,614 | See | | | |
1,059 |
A*01:03 | | USA NMDP Hawaiian or other Pacific Islander | | 0.0000430 | | 11,499 | See | | | |
1,060 |
A*01:03 | | USA NMDP Hispanic South or Central American | | 0.0000920 | | 146,714 | See | | | |
1,061 |
A*01:03 | | USA NMDP Mexican or Chicano | | 0.0000820 | | 261,235 | See | | | |
1,062 |
A*01:03 | | USA NMDP Middle Eastern or North Coast of Africa | | 0.0011 | | 70,890 | See | | | |
1,063 |
A*01:03 | | USA NMDP North American Amerindian | | 0.0000300 | | 35,791 | See | | | |
1,064 |
A*01:03 | | USA NMDP South Asian Indian | | 0.0000840 | | 185,391 | See | | | |
1,065 |
A*01:03 | | USA NMDP Southeast Asian | | 0.0001 | | 27,978 | See | | | |
1,066 |
A*01:03 | | USA NMDP Vietnamese | | 0.0003 | | 43,540 | See | | | |
1,067 |
A*01:03 | | USA Philadelphia Caucasian | 0.0 | 0 | | 141 | See | | | |
1,068 |
A*01:03 | | USA San Antonio Caucasian | | 0 | | 222 | See | | | |
1,069 |
A*01:03 | | USA South Texas Hispanic | | 0 | | 194 | See | | | |
1,070 |
A*01:03 | | Zambia Lusaka | | 0 | | 44 | See | | | |
1,071 |
A*01:03:01 | | Hong Kong Chinese HKBMDR HLA 11 loci | 0.0 | 0.0000900 | | 5,266 | See | | |
|
1,072 |
A*01:03:01 | | Russia Belgorod region | 0.7 | 0.0033 | | 153 | See | | |
|
1,073 |
A*01:03:01 | | South African Black | 0.7 | 0.0035 | | 142 | See | | |
|
1,074 |
A*01:03:01:01 | | Pakistan Mixed Punjabi | 0.6 | 0.0026 | | 389 | See | | |
|
1,075 |
A*01:03:01:02 | | Poland BMR | 0.0085 | 0.0000420 | | 23,595 | See | | |
|
1,076 |
A*01:04 | | Belgium | 0.0202 | 0.0001 | | 31,412 | See | | |
|
1,077 |
A*01:04N | | Bulgaria | | 0 | | 55 | See | | | |
1,078 |
A*01:04N | | China North Han | | 0 | | 105 | See | | | |
1,079 |
A*01:04N | | Czech Republic | | 0 | | 106 | See | | | |
1,080 |
A*01:04N | | India West UCBB | 0.0200 | 0.0000900 | | 5,829 | See | | |
|
1,081 |
A*01:04N | | Italy Bergamo | 0.0 | 0 | | 101 | See | | | |
1,082 |
A*01:04N | | Italy North pop 3 | 0.0 | 0 | | 97 | See | | | |
1,083 |
A*01:04N | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
1,084 |
A*01:04N | | Netherlands Leiden | | 0 | | 1,305 | See | | | |
1,085 |
A*01:04 | | Poland BMR | 0.0042 | 0.0000210 | | 23,595 | See | | |
|
1,086 |
A*01:04N | | South Korea pop 3 | | 0 | | 485 | See | | | |
1,087 |
A*01:04N | | USA African American Bethesda | 0.0 | 0 | | 187 | See | | | |
1,088 |
A*01:04N | | USA Alaska Yupik | | 0 | | 252 | See | | | |
1,089 |
A*01:04N | | USA Caucasian Bethesda | 0.0 | 0 | | 307 | See | | | |
1,090 |
A*01:04N | | USA San Antonio Caucasian | | 0 | | 222 | See | | | |
1,091 |
A*01:04N | | USA South Texas Hispanic | | 0 | | 194 | See | | | |
1,092 |
A*01:06 | | Bulgaria | | 0 | | 55 | See | | | |
1,093 |
A*01:06 | | China North Han | | 0 | | 105 | See | | | |
1,094 |
A*01:06 | | China Tibet Region Tibetan | | 0 | | 158 | See | | | |
1,095 |
A*01:06 | | Czech Republic NMDR | | 0.0001 | | 5,099 | See | | | |
1,096 |
A*01:06 | | England North West | 0.3 | 0.0020 | | 298 | See | | | |
1,097 |
A*01:06 | | Germany DKMS - German donors | | 0.0000980 | | 3,456,066 | See | | |
|
1,098 |
A*01:06 | | Germany DKMS - Turkey minority | | 0.0001 | | 4,856 | See | | | |
1,099 |
A*01:06 | | Germany pop 8 | | 0.0001 | | 39,689 | See | | | |
1,100 |
A*01:06 | | India Khandesh Region Pawra | | 0.0100 | | 50 | See | | | |
Notes:
* Allele Frequency: Total number of copies of the allele in the population sample (Alleles / 2n) in decimal format.
Important: This field has been expanded to four decimals to better represent frequencies of large datasets (e.g. where sample size > 1000 individuals)
* % of individuals that have the allele: Percentage of individuals who have the allele in the population (Individuals / n).
* Allele Frequencies shown in
green were calculated from Phenotype Frequencies assuming Hardy-Weinberg proportions.
AF = 1-square_root(1-PF)
PF = 1-(1-AF)
2
AF = Allele Frequency; PF = Phenotype Frequency, i.e. (%) of the individuals carrying the allele.
* Allele Frequencies marked with (*) were calculated from all alleles in the corresponding
G group.
¹ IMGT/HLA Database - For more details of the allele.
² Distribution - Graphical distribution of the allele.
³ Haplotype Association - Find HLA haplotypes with this allele.
ª Notes - See notes for ambiguous combinations of alleles.
Displaying 1,001 to 1,100
(from 30,407) records |
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