HLA > Allele Frequency Search > Classical

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Displaying 1 to 100 (from 126) records   Pages: 1 2 of 2  

Line Allele Population % of individuals
that have the allele		 Allele
Frequency
(in_decimals)		 Sample
Size		 IMGT/HLA¹
Database		 Distribution² Haplotype³
Association		 Notesª
 1   A*66:02  Brazil Belo Horizonte Caucasian 0.0 095See
 2   A*66:02  Brazil Rio de Janeiro Parda  0.0029170See
 3   A*66:02  Bulgaria  055See
 4   A*66:02  Cameroon Baka Pygmy  010See
 5   A*66:02  Cameroon Bamileke  0.006077See
 6   A*66:02  Cameroon Beti  0.0090174See
 7   A*66:02  Cameroon Sawa  013See
 8   A*66:02  Cameroon Yaounde  0.011092See
 9   A*66:02  China North Han  0105See
 10   A*66:02  China Tibet Region Tibetan  0158See
 11   A*66:02  Colombia Bogotá Cord Blood 0.4 0.00211,463See
 12   A*66:02  Costa Rica African -Caribbean (G) 4.0 (*) 0.0200 (*)102See
 13   A*66:02  Costa Rica Central Valley Mestizo (G) 0.4 (*) 0.0020 (*)221See
 14   A*66:02  Croatia pop 4  0.00014,000See
 15   A*66:02  Cuba Caucasian 1.4 0.007070See
 16   A*66:02  Cuba Mixed Race 2.4 0.012042See
 17   A*66:02  Czech Republic  0106See
 18   A*66:02  France Rennes pop 3  0200See
 19   A*66:02  Germany DKMS - Croatia minority  0.00022,057See
 20   A*66:02  Germany DKMS - German donors  0.00001303,456,066See
 21   A*66:02  Germany DKMS - Portugal minority  0.00041,176See
 22   A*66:02  Germany pop 8  0.000040039,689See
 23   A*66:02  Hong Kong Chinese 0.0 0569See
 24   A*66:02  Ireland Northern 0.0 01,000See
 25   A*66:02  Israel Arab pop 2  0.000312,301See
 26   A*66:02  Israel Ethiopia Jews  0.00025,928See
 27   A*66:02  Israel Morocco Jews  0.000014036,718See
 28   A*66:02  Italy Bergamo 0.0 0101See
 29   A*66:02  Kenya Luo  0.0090265See
 30   A*66:02  Kenya Nandi  0.0040240See
 31   A*66:02  Kenya, Nyanza Province, Luo tribe 2.0 0.0150100See
 32   A*66:02  Mali Bandiagara  0138See
 33   A*66:02  Martinique  0.0100100See
 34   A*66:02  Mexico Mestizo 0.0 041See
 35   A*66:02  Morocco Nador Metalsa pop 2  073See
 36   A*66:02  Morocco Settat Chaouya 0.0 098See
 37   A*66:02  Netherlands Leiden  01,305See
 38   A*66:02  Oman 0.0 0118See
 39   A*66:02  Pakistan Baloch  066See
 40   A*66:02  Pakistan Brahui  0104See
 41   A*66:02  Pakistan Burusho  092See
 42   A*66:02  Pakistan Kalash  069See
 43   A*66:02  Pakistan Karachi Parsi  091See
 44   A*66:02  Pakistan Mixed Pathan  0100See
 45   A*66:02  Pakistan Mixed Sindhi  0101See
 46   A*66:02  Panama  0.0034462See
 47   A*66:02  Philippines Ivatan 0.0 050See
 48   A*66:02  Romania 0.0 0348See
 49   A*66:02  Sao Tome Island Angolar  0.016032See
 50   A*66:02  Sao Tome Island Forro  0.008066See
 51   A*66:02  Saudi Arabia pop 6 (G)  0.0000860 (*)28,927See
 52   A*66:02  Senegal Niokholo Mandenka  0.0050165See
 53   A*66:02  Singapore Chinese 0.0 0149See
 54   A*66:02  South Africa Cape Town Black 1.2 0.006084See
 55   A*66:02  South Africa Caucasians  0102See
 56   A*66:02  South Africa Durban Black 4.5 0.022722See
 57   A*66:02  South Africa Johannesburg Black 0.8 0.0042120See
 58   A*66:02  South Africa Natal Zulu 3.0 0.0150100See
 59   A*66:02  South African Black 0.7 0.0035142See
 60   A*66:02  South Korea pop 3  0485See
 61   A*66:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.0200 0.00014,335See
 62   A*66:02  Sudan Mixed 0.0 0200See
 63   A*66:02  Switzerland Aargau-Solothurn  01,838See
 64   A*66:02  Switzerland Basel  01,888See
 65   A*66:02  Switzerland Bern  03,545See
 66   A*66:02  Switzerland Geneva pop 2  01,267See
 67   A*66:02  Switzerland Graubunden  0.0004759See
 68   A*66:02  Switzerland Lausanne  0993See
 69   A*66:02  Switzerland Lugano  01,169See
 70   A*66:02  Switzerland Luzern  01,553See
 71   A*66:02  Switzerland Sion  0832See
 72   A*66:02  Switzerland St Gallen  02,113See
 73   A*66:02  Switzerland Zurich  04,875See
 74   A*66:02  Taiwan Ami 0.0 098See
 75   A*66:02  Taiwan Atayal 0.0 0106See
 76   A*66:02  Taiwan Bunun 0.0 0101See
 77   A*66:02  Taiwan Hakka 0.0 055See
 78   A*66:02  Taiwan Minnan pop 1 0.0 0102See
 79   A*66:02  Taiwan Paiwan 0.0 051See
 80   A*66:02  Taiwan Pazeh 0.0 055See
 81   A*66:02  Taiwan Puyuma 0.0 050See
 82   A*66:02  Taiwan Rukai 0.0 050See
 83   A*66:02  Taiwan Saisiat 0.0 051See
 84   A*66:02  Taiwan Siraya 0.0 051See
 85   A*66:02  Taiwan Tao 0.0 050See
 86   A*66:02  Taiwan Taroko 0.0 055See
 87   A*66:02  Taiwan Thao 0.0 030See
 88   A*66:02  Taiwan Tsou 0.0 051See
 89   A*66:02  Uganda Kampala  0161See
 90   A*66:02  Uganda Kampala pop 2  0.0060175See
 91   A*66:02  USA African American  0.0120252See
 92   A*66:02  USA African American Bethesda 4.0 0.0200187See
 93   A*66:02  USA African American pop 3  0.0070564See
 94   A*66:02  USA African American pop 4  0.00792,411See
 95   A*66:02  USA Alaska Yupik  0252See
 96   A*66:02  USA Asian  0.0010358See
 97   A*66:02  USA Asian pop 2  01,772See
 98   A*66:02  USA Caucasian 0.0 061,655See
 99   A*66:02  USA Caucasian Bethesda 0.0 0307See
 100   A*66:02  USA Caucasian pop 2  0265See

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 to 100 (from 126) records   Pages: 1 2 of 2  





   

Allele frequency net database (AFND) 2020 update: gold-standard data classification, open access genotype data and new query tools
Gonzalez-Galarza FF, McCabe A, Santos EJ, Jones J, Takeshita LY, Ortega-Rivera ND, Del Cid-Pavon GM, Ramsbottom K, Ghattaoraya GS, Alfirevic A, Middleton D and Jones AR Nucleic Acid Research 2020, 48:D783-8.
Liverpool, U.K.

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