Please specify your search by selecting options from boxes. Then, click "Search" to find HLA allele frequencies
that match your criteria. Remember at least one option must be selected.
| Line |
Allele |
Population |
% of individuals
that have the allele |
Allele
Frequency
(in_decimals) |
Sample
Size |
IMGT/HLA¹
Database |
Distribution² |
Haplotype³
Association |
Notesª |
| 2,001 |
A*02:17 |  | Israel Ashkenazi and Non Ashkenazi Jews | | 0.0090 |  | 146 | See |  |  | |
| 2,002 |
A*02:17 |  | Italy North pop 3 | 0.0 | 0 |  | 97 | See |  |  | |
| 2,003 |
A*02:17 |  | Kenya Luo | | 0 |  | 265 | See |  |  | |
| 2,004 |
A*02:17 |  | Kenya Nandi | | 0 |  | 240 | See |  |  | |
| 2,005 |
A*02:17 |  | Mali Bandiagara | | 0.0040 |  | 138 | See |  |  | |
| 2,006 |
A*02:17 |  | Mexico Mestizo | 0.0 | 0 |  | 41 | See |  |  | |
| 2,007 |
A*02:17 |  | Morocco Nador Metalsa pop 2 | | 0 |  | 73 | See |  |  | |
| 2,008 |
A*02:17 |  | Morocco Settat Chaouya | 0.0 | 0 |  | 98 | See |  |  | |
| 2,009 |
A*02:17 |  | Pakistan Baloch | | 0 |  | 66 | See |  |  | |
| 2,010 |
A*02:17 |  | Pakistan Brahui | | 0 |  | 104 | See |  |  | |
| 2,011 |
A*02:17 |  | Pakistan Karachi Parsi | | 0 |  | 91 | See |  |  | |
| 2,012 |
A*02:17 |  | Philippines Ivatan | 0.0 | 0 |  | 50 | See |  |  | |
| 2,013 |
A*02:17 |  | Romania | 0.3 | 0.0010 |  | 348 | See |  |  | |
| 2,014 |
A*02:17 |  | Russia Tuva pop 2 | | 0.0030 |  | 169 | See |  |  | |
| 2,015 |
A*02:17 |  | Sao Tome Island Angolar | | 0 |  | 32 | See |  |  | |
| 2,016 |
A*02:17 |  | Sao Tome Island Forro | | 0.0080 |  | 66 | See |  |  | |
| 2,017 |
A*02:17 |  | Scotland Orkney | 0.0 | 0 |  | 99 | See |  |  | |
| 2,018 |
A*02:17 |  | South Africa Caucasians | | 0.0050 |  | 102 | See |  |  | |
| 2,019 |
A*02:17 |  | South Africa Natal Zulu | 0.0 | 0 |  | 100 | See |  |  | |
| 2,020 |
A*02:17 |  | Taiwan Ami | 0.0 | 0 |  | 98 | See |  |  | |
| 2,021 |
A*02:17 |  | Taiwan Atayal | 0.0 | 0 |  | 106 | See |  |  | |
| 2,022 |
A*02:17 |  | Taiwan Bunun | 0.0 | 0 |  | 101 | See |  |  | |
| 2,023 |
A*02:17 |  | Taiwan Hakka | 0.0 | 0 |  | 55 | See |  |  | |
| 2,024 |
A*02:17 |  | Taiwan Minnan pop 1 | 0.0 | 0 |  | 102 | See |  |  | |
| 2,025 |
A*02:17 |  | Taiwan Paiwan | 0.0 | 0 |  | 51 | See |  |  | |
| 2,026 |
A*02:17 |  | Taiwan Pazeh | 0.0 | 0 |  | 55 | See |  |  | |
| 2,027 |
A*02:17 |  | Taiwan Puyuma | 0.0 | 0 |  | 50 | See |  |  | |
| 2,028 |
A*02:17 |  | Taiwan Rukai | 0.0 | 0 |  | 50 | See |  |  | |
| 2,029 |
A*02:17 |  | Taiwan Saisiat | 0.0 | 0 |  | 51 | See |  |  | |
| 2,030 |
A*02:17 |  | Taiwan Siraya | 0.0 | 0 |  | 51 | See |  |  | |
| 2,031 |
A*02:17 |  | Taiwan Tao | 0.0 | 0 |  | 50 | See |  |  | |
| 2,032 |
A*02:17 |  | Taiwan Taroko | 0.0 | 0 |  | 55 | See |  |  | |
| 2,033 |
A*02:17 |  | Taiwan Thao | 0.0 | 0 |  | 30 | See |  |  | |
| 2,034 |
A*02:17 |  | Taiwan Tsou | 0.0 | 0 |  | 51 | See |  |  | |
| 2,035 |
A*02:17 |  | Turkey pop 5 | | 0.0070 |  | 142 | See |  |  | |
| 2,036 |
A*02:17 |  | Uganda Kampala | | 0 |  | 161 | See |  |  | |
| 2,037 |
A*02:17 |  | USA Alaska Yupik | | 0 |  | 252 | See |  |  | |
| 2,038 |
A*02:17 |  | USA Caucasian pop 4 | | 0.0009 |  | 1,070 | See |  |  | |
| 2,039 |
A*02:17 |  | USA Philadelphia Caucasian | 0.0 | 0 |  | 141 | See |  |  | |
| 2,040 |
A*02:17 |  | USA San Antonio Caucasian | | 0.0030 |  | 222 | See |  |  | |
| 2,041 |
A*02:17 |  | USA South Texas Hispanic | | 0 |  | 194 | See |  |  | |
| 2,042 |
A*02:17 |  | Venezuela Perja Mountain Bari | | 0.0800 |  | 55 | See |  |  | |
| 2,043 |
A*02:17 |  | Zambia Lusaka | | 0 |  | 44 | See |  |  | |
| 2,044 |
A*02:17 |  | Zimbabwe Harare Shona | | 0.0020 |  | 230 | See |  |  | |
| 2,045 |
A*02:17:01 |  | China North Han | | 0 |  | 105 | See |  |  | |
| 2,046 |
A*02:17:01 |  | Mongolia Buryat | | 0.0040 |  | 141 | See |  |  | |
| 2,047 |
A*02:17:01 |  | Morocco Nador Metalsa pop 2 | | 0 |  | 73 | See |  |  | |
| 2,048 |
A*02:17:01 |  | Morocco Settat Chaouya | 0.0 | 0 |  | 98 | See |  |  | |
| 2,049 |
A*02:17:01 |  | Saudi Arabia pop 5 | 1.3 | 0.0063 |  | 158 | See |  |  | |
| 2,050 |
A*02:17:01 |  | South Korea pop 3 | | 0 |  | 485 | See |  |  | |
| 2,051 |
A*02:17:02 |  | China North Han | | 0 |  | 105 | See |  |  | |
| 2,052 |
A*02:17:02 |  | Morocco Nador Metalsa pop 2 | | 0 |  | 73 | See |  |  | |
| 2,053 |
A*02:17:02 |  | Morocco Settat Chaouya | 0.0 | 0 |  | 98 | See |  |  | |
| 2,054 |
A*02:17:02 |  | South Korea pop 3 | | 0 |  | 485 | See |  |  | |
| 2,055 |
A*02:18 |  | Brazil Belo Horizonte Caucasian | 0.0 | 0 |  | 95 | See |  |  | |
| 2,056 |
A*02:18 |  | Bulgaria | | 0 |  | 55 | See |  |  | |
| 2,057 |
A*02:18 |  | China North Han | | 0 |  | 105 | See |  |  | |
| 2,058 |
A*02:18 |  | China Tibet Region Tibetan | | 0 |  | 158 | See |  |  | |
| 2,059 |
A*02:18 |  | Croatia | | 0 |  | 150 | See |  |  | |
| 2,060 |
A*02:18 |  | Czech Republic | | 0 |  | 106 | See |  |  | |
| 2,061 |
A*02:18 |  | Italy North pop 3 | 0.0 | 0 |  | 97 | See |  |  | |
| 2,062 |
A*02:18 |  | Japan Central | | 0.0010 |  | 371 | See |  |  | |
| 2,063 |
A*02:18 |  | Japan pop 16 | | 0.0008 |  | 18,604 | See |  |  | |
| 2,064 |
A*02:18 |  | Japan pop 3 | | 0.0010 |  | 1,018 | See |  |  | |
| 2,065 |
A*02:18 |  | Mexico Mestizo | 0.0 | 0 |  | 41 | See |  |  | |
| 2,066 |
A*02:18 |  | Morocco Nador Metalsa pop 2 | | 0 |  | 73 | See |  |  | |
| 2,067 |
A*02:18 |  | Morocco Settat Chaouya | 0.0 | 0 |  | 98 | See |  |  | |
| 2,068 |
A*02:18 |  | Pakistan Baloch | | 0 |  | 66 | See |  |  | |
| 2,069 |
A*02:18 |  | Pakistan Brahui | | 0 |  | 104 | See |  |  | |
| 2,070 |
A*02:18 |  | Pakistan Karachi Parsi | | 0 |  | 91 | See |  |  | |
| 2,071 |
A*02:18 |  | Romania | 0.0 | 0 |  | 348 | See |  |  | |
| 2,072 |
A*02:18 |  | Scotland Orkney | 0.0 | 0 |  | 99 | See |  |  | |
| 2,073 |
A*02:18 |  | South Africa Natal Zulu | 0.0 | 0 |  | 100 | See |  |  | |
| 2,074 |
A*02:18 |  | South Korea pop 3 | | 0 |  | 485 | See |  |  | |
| 2,075 |
A*02:18 |  | Turkey pop 5 | | 0 |  | 142 | See |  |  | |
| 2,076 |
A*02:18 |  | USA Alaska Yupik | | 0 |  | 252 | See |  |  | |
| 2,077 |
A*02:18 |  | USA Philadelphia Caucasian | 0.0 | 0 |  | 141 | See |  |  | |
| 2,078 |
A*02:18 |  | USA San Antonio Caucasian | | 0 |  | 222 | See |  |  | |
| 2,079 |
A*02:18 |  | USA South Texas Hispanic | | 0 |  | 194 | See |  |  | |
| 2,080 |
A*02:19 |  | Argentina Chiriguano | 3.8 | 0.0280 |  | 54 | See |  |  | |
| 2,081 |
A*02:19 |  | Argentina Gran Chaco Eastern Toba | 17.9 | 0.0950 |  | 135 | See |  |  | |
| 2,082 |
A*02:19 |  | Argentina Gran Chaco Mataco Wichi | 15.9 | 0.0800 |  | 49 | See |  |  | |
| 2,083 |
A*02:19 |  | Argentina Gran Chaco Western Toba Pilaga | 0.0 | 0 |  | 19 | See |  |  | |
| 2,084 |
A*02:19 |  | Argentina Rosario Toba | 9.3 | 0.0520 |  | 86 | See |  |  | |
| 2,085 |
A*02:19 |  | Argentina Salta Wichi pop 2 | 10.5 | 0.0790 |  | 19 | See |  |  | |
| 2,086 |
A*02:19 |  | Brazil Belo Horizonte Caucasian | 0.0 | 0 |  | 95 | See |  |  | |
| 2,087 |
A*02:19 |  | Brazil Terena | 3.3 | 0.0170 |  | 60 | See |  |  | |
| 2,088 |
A*02:19 |  | Bulgaria | | 0 |  | 55 | See |  |  | |
| 2,089 |
A*02:19 |  | China North Han | | 0 |  | 105 | See |  |  | |
| 2,090 |
A*02:19 |  | China Tibet Region Tibetan | | 0 |  | 158 | See |  |  | |
| 2,091 |
A*02:19 |  | China Yunnan Province Lisu | | 0.0060 |  | 111 | See |  |  | |
| 2,092 |
A*02:19 |  | Croatia | | 0 |  | 150 | See |  |  | |
| 2,093 |
A*02:19 |  | Czech Republic | | 0 |  | 106 | See |  |  | |
| 2,094 |
A*02:19 |  | Israel Ashkenazi and Non Ashkenazi Jews | | 0.0040 |  | 146 | See |  |  | |
| 2,095 |
A*02:19 |  | Italy North pop 3 | 0.0 | 0 |  | 97 | See |  |  | |
| 2,096 |
A*02:19 |  | Japan Okinawa Ryukyuan | | 0.0070 |  | 143 | See |  |  | |
| 2,097 |
A*02:19 |  | Mexico Mestizo | 0.0 | 0 |  | 41 | See |  |  | |
| 2,098 |
A*02:19 |  | Morocco Nador Metalsa pop 2 | | 0 |  | 73 | See |  |  | |
| 2,099 |
A*02:19 |  | Morocco Settat Chaouya | 0.0 | 0 |  | 98 | See |  |  | |
| 2,100 |
A*02:19 |  | Pakistan Baloch | | 0 |  | 66 | 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 2,001 to 2,100
(from 64,837) records |
|
Pages: |
|
|
21 22 23 24 25 26 27 28 29 30 of 649
|
|
 |
|
 |
 |
 |