Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Population:  Country:  Source of dataset : 
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Sample Size:      Sample Year:     Loci Tested: 
Displaying 1 to 58 (from 58) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*01:01:01-B*39:09:01-C*01:02:01-DRB1*16:02:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*11:01:01  Brazil Barra Mansa Rio State Black 2.381073
 2  A*02:01:01-B*39:09:01-C*07:02:01-DRB1*14:06:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*04:02:01  Brazil Rio de Janeiro Caucasian 0.1946521
 3  A*02:01-B*39:09  USA Hispanic pop 2 0.02501,999
 4  A*02:01-B*39:09-C*07:02-DRB1*04:04-DQB1*03:02  USA Hispanic pop 2 0.01201,999
 5  A*02:01-B*39:09-C*07:02-DRB1*04:07-DQB1*03:02  USA Hispanic pop 2 0.02301,999
 6  A*02:01-B*39:09-C*07:02-DRB1*04:11-DQB1*04:02  USA Hispanic pop 2 0.02301,999
 7  A*02:01-B*39:09-C*07:02-DRB1*13:03-DQB1*03:01  USA Hispanic pop 2 0.01201,999
 8  A*02:01-B*39:09-DRB1*04:02-DQB1*03:02  Chile Mapuche 0.770066
 9  A*02:01-B*39:09-DRB1*04:03-DQB1*03:01  Peru Titikaka Lake Uros 0.4800105
 10  A*02:01-B*39:09-DRB1*04:03-DQB1*03:02  Chile Mapuche 0.770066
 11  A*02:01-B*39:09-DRB1*08:02-DQB1*03:02  Peru Titikaka Lake Uros 0.4800105
 12  A*02:01-B*39:09-DRB1*14:02-DQB1*03:01  Chile Mapuche 2.310066
 13  A*02:01-B*39:09-DRB1*16:02-DQB1*03:01  Chile Mapuche 1.540066
 14  A*02:03:01-B*39:09:01-C*07:02:01-DRB1*04:05:01-DPB1*03:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.04755,266
 15  A*02:03:01-B*39:09:01-C*07:02:01-DRB1*04:05:01-DQB1*04:01:01  China Zhejiang Han 0.05771,734
 16  A*02:03:01-B*39:09:01-C*07:02:01-DRB1*12:01:01-DPB1*02:02:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00585,266
 17  A*02:03:01-B*39:09:01-C*07:02:01-DRB1*15:01:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.02855,266
 18  A*02:03:01-B*39:09:01-C*07:02:01-DRB1*15:01:01-DQB1*06:01:01  China Zhejiang Han 0.02881,734
 19  A*02:03:01-B*39:09:01-C*07:02:01-DRB1*15:02:01-DQB1*05:02:01  Vietnam Kinh 0.4950101
 20  A*02:03-B*39:09  USA Asian pop 2 0.08501,772
 21  A*02:03-B*39:09-C*07:02-DRB1*09:01  Hong Kong Chinese BMDR 0.00397,595
 22  A*02:03-B*39:09-C*07:02-DRB1*12:02-DQB1*05:02  Germany DKMS - Turkey minority 0.01004,856
 23  A*02:03-B*39:09-C*07:02-DRB1*15:01  Hong Kong Chinese BMDR 0.01327,595
 24  A*02:03-B*39:09-C*07:02-DRB1*15:02-DQB1*05:01  USA Asian pop 2 0.08901,772
 25  A*02:03-B*39:09-C*07:02-DRB1*16:02  Germany DKMS - China minority 0.03901,282
 26  A*02:03-B*39:09-C*07:02-DRB1*16:02  Hong Kong Chinese BMDR 0.00517,595
 27  A*02:04-B*39:09  USA African American pop 4 0.02102,411
 28  A*02:11-B*39:09-C*07:02-DRB1*04:04  Germany DKMS - China minority 0.03901,282
 29  A*02:22-B*39:09-C*07:02-DRB1*04:04-DQB1*03:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 30  A*11:01-B*39:09-C*07:02-DRB1*15:01  Germany DKMS - China minority 0.03901,282
 31  A*11:02-B*39:09-C*07:02-DRB1*15:01  Hong Kong Chinese BMDR 0.00637,595
 32  A*23:01-B*39:09  USA Hispanic pop 2 0.02501,999
 33  A*23:01-B*39:09-C*07:02-DRB1*04:04-DQB1*03:02  USA Hispanic pop 2 0.01201,999
 34  A*23:01-B*39:09-C*07:02-DRB1*13:03-DQB1*03:01  USA Hispanic pop 2 0.01201,999
 35  A*24:02-B*39:09-C*07:02-DRB1*14:02-DQB1*03:01  Colombia Bogotá Cord Blood 0.03421,463
 36  A*24:02-B*39:09-C*07:02-DRB1*15:01  Hong Kong Chinese BMDR 0.00637,595
 37  A*24:02-B*39:09-DRB1*15:01  Hong Kong Chinese cord blood registry 0.01263,892
 38  A*24:03-B*39:09-C*07:05-DRB1*08:04-DQB1*04:02  Colombia North Chimila Amerindians 1.063847
 39  A*29:01-B*39:09-DRB1*15:17N-DQB1*03:01  Chile Mapuche 0.770066
 40  A*30:01-B*39:09-DRB1*15:01  Hong Kong Chinese cord blood registry 0.01273,892
 41  A*31:01-B*39:09-DRB1*04:02-DQB1*03:02  Chile Mapuche 0.770066
 42  A*31:01-B*39:09-DRB1*07:01-DQB1*03:03  Chile Mapuche 0.770066
 43  A*32:01:01-B*39:09:01-C*07:02:01-DRB1*08:02:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*04:02:01  Brazil Barra Mansa Rio State Black 2.381073
 44  A*33:03:01-B*39:09:01-C*07:02:01-DRB1*09:01:02-DPB1*03:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00685,266
 45  A*68:01-B*39:09-C*07:02-DRB1*04:03-DQA1*03:01:01-DQB1*03:02-DPA1*01-DPB1*04:02  Venezuela Sierra de Perija Yucpa 1.200073
 46  A*68:01-B*39:09-C*07:02-DRB1*04:11-DQA1*03:01:01-DQB1*03:02-DPA1*01-DPB1*04:02  Venezuela Sierra de Perija Yucpa 33.700073
 47  A*68:01-B*39:09-C*07:02-DRB1*16:02-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 48  A*68:01-B*39:09-DRB1*04:03-DQB1*03:02  Chile Mapuche 1.540066
 49  A*68:01-B*39:09-DRB1*08:02-DQB1*04:02  Chile Mapuche 6.150066
 50  A*68:01-B*39:09-DRB1*14:02-DQB1*03:01  Chile Mapuche 1.540066
 51  A*68:01-B*39:09-DRB1*15:01-DQB1*03:01  Chile Mapuche 0.770066
 52  A*68:01-B*39:09-DRB1*16:02-DQB1*03:01  Chile Mapuche 1.540066
 53  A*68:16-B*39:09-DRB1*16:02-DQB1*03:01  Chile Mapuche 0.770066
 54  B*39:09-C*07:02  China Hubei Han 0.00050003,732
 55  B*39:09-C*07:02  USA African American pop 4 0.02102,411
 56  B*39:09-C*07:02  USA Asian pop 2 0.08501,772
 57  B*39:09-C*07:02  USA Hispanic pop 2 0.03701,999
 58  B*39:09-C*16:01  USA Hispanic pop 2 0.01301,999

Notes:

* Haplotype Frequencies: Total number of copies of the haplotype in the population sample (Haplotypes / 2n) shown in percentages (%).
   Important: 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).




   

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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