Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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A B C DRB1 DPA1 DPB1 DQA1 DQB1

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Displaying 1 to 45 (from 45) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*02:01:01-B*56:01:01-C*01:02:01-DRB1*11:03:01-DQB1*03:01:01-DPA1*02:01:01-DPB1*10:01:01  Brazil Barra Mansa Rio State Black 2.381073
 2  A*03:01:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01-DPA1*02:01:01-DPB1*10:01:01  Brazil Barra Mansa Rio State Black 2.381073
 3  A*11:01:01-B*55:01:01-C*03:03:01-DRB1*04:03:01-DQB1*05:01:01-DPA1*02:01:01-DPB1*10:01:01  Brazil Barra Mansa Rio State Black 2.381073
 4  A*03:01:01-B*15:10:01-C*17:03:01-DRB1*13:03:01-DQB1*03:19:01-DPA1*02:01:01-DPB1*10:01:01  Brazil Rio de Janeiro Black 1.470668
 5  DPA1*02:01-DPB1*10:01  Spain Navarre Basques 1.1000116
 6  DPA1*02:01:01-DPB1*10:01  Tokelau 1.000050
 7  A*24:02:01-B*35:08:01-C*04:01:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*02:01:01-DPB1*10:01:01  Brazil Barra Mansa Rio State Caucasian 0.6250405
 8  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*02:01:01-DPB1*10:01:01  Brazil Rio de Janeiro Parda 0.5882170
 9  A*23:17:01-B*44:03:01-C*05:01:01-DRB1*09:01:02-DQB1*02:02:01-DPA1*02:01:01-DPB1*10:01:01  Brazil Rio de Janeiro Parda 0.5882170
 10  A*11:01:01-B*27:02:01-C*07:02:01-DRB1*15:01:01-DQA1*01:02:02-DQB1*05:02-DPA1*02:01:01-DPB1*10:01  Russia Belgorod region 0.3268153
 11  A*25:01:01-B*44:03:01-C*06:02:01-DRB1*07:01:01-DQA1*03:01:01-DQB1*03:03:02-DPA1*02:01:01-DPB1*10:01  Russia Belgorod region 0.3268153
 12  A*68:01:01-B*07:02:01-C*07:01:01-DRB1*08:01:01-DQA1*03:01:01-DQB1*04:02:01-DPA1*02:01:01-DPB1*10:01  Russia Belgorod region 0.3268153
 13  A*02:01:01-B*18:01:01-C*16:02:01-DRB1*08:01:01-DQB1*04:02:01-DPA1*02:01:02-DPB1*10:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 14  A*02:01:01-B*44:03:01-C*02:02:02-DRB1*01:01:01-DQB1*03:02:01-DPA1*02:01:01-DPB1*10:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 15  A*02:01:15-B*50:02-C*06:02:01-DRB1*07:01:01-DQB1*03:03:02-DPA1*02:01:01-DPB1*10:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 16  A*11:01:01-B*35:01:01-C*04:01:01-DRB1*07:01:01-DQB1*05:02:01-DPA1*02:01:01-DPB1*10:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 17  A*11:01:01-B*44:02:01-C*12:02:02-DRB1*11:04:01-DQB1*03:01:01-DPA1*02:01:01-DPB1*10:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 18  A*33:01:01-B*14:02:01-C*08:02:01-DRB1*01:02:01-DQB1*05:01:01-DPA1*02:01:01-DPB1*10:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 19  A*02:01-B*07:02-C*07:02-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*02:01-DPB1*10:01  Mexico Chiapas Lacandon Mayans 0.2294218
 20  A*26:01-B*49:01-C*07:01-DRB1*13:02-DQA1*01:02-DQB1*06:04-DPA1*02:01-DPB1*10:01  Mexico Chiapas Lacandon Mayans 0.2294218
 21  A*32:01:01-B*58:02:01-C*03:03:01-DRB1*11:02:01-DQB1*02:02:01-DPA1*02:01:01-DPB1*10:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 22  A*74:03-B*44:03:01-C*16:01:01-DRB1*15:01:01-DQB1*06:02:01-DPA1*02:01:01-DPB1*10:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 23  A*01:01-B*18:01-C*12:03-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPA1*02:01-DPB1*10:01  United Arab Emirates Pop 1 0.0935570
 24  DRB1*10:01-DQA1*01:05-DQB1*05:01-DPA1*02:01-DPB1*10:01  China Zhejiang Han pop 2 0.0600833
 25  DRB1*14:04-DQA1*01:04-DQB1*05:02-DPA1*02:01-DPB1*10:01  China Zhejiang Han pop 2 0.0600833
 26  A*01:01-B*35:08-C*02:02-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPA1*02:01-DPB1*10:01  United Arab Emirates Pop 1 0.0467570
 27  A*01:01-B*39:01-C*12:03-DRB1*16:01-DQA1*01:02-DQB1*05:02-DPA1*02:01-DPB1*10:01  United Arab Emirates Pop 1 0.0467570
 28  A*01:01-B*39:01-C*12:03-DRB1*16:01-DQA1*01:05-DQB1*05:02-DPA1*02:01-DPB1*10:01  United Arab Emirates Pop 1 0.0467570
 29  A*01:01-B*40:06-C*15:02-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPA1*02:01-DPB1*10:01  United Arab Emirates Pop 1 0.0467570
 30  A*01:06-B*35:01-C*04:01-DRB1*11:04-DQA1*05:01-DQB1*03:01-DPA1*02:01-DPB1*10:01  United Arab Emirates Pop 1 0.0467570
 31  A*02:01-B*13:02-C*07:02-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPA1*02:01-DPB1*10:01  United Arab Emirates Pop 1 0.0467570
 32  A*02:17-B*40:06-C*03:04-DRB1*16:02-DQA1*01:02-DQB1*05:02-DPA1*02:01-DPB1*10:01  United Arab Emirates Pop 1 0.0467570
 33  A*24:02-B*37:01-C*16:02-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPA1*02:01-DPB1*10:01  United Arab Emirates Pop 1 0.0467570
 34  A*31:01-B*35:08-C*04:01-DRB1*16:02-DQA1*01:02-DQB1*05:02-DPA1*02:01-DPB1*10:01  United Arab Emirates Pop 1 0.0467570
 35  A*31:01-B*55:01-C*01:02-DRB1*16:02-DQA1*01:02-DQB1*05:02-DPA1*02:01-DPB1*10:01  United Arab Emirates Pop 1 0.0467570
 36  A*32:01-B*52:01-C*12:02-DRB1*03:02-DQA1*04:01-DQB1*04:02-DPA1*02:01-DPB1*10:01  United Arab Emirates Pop 1 0.0467570
 37  A*68:01-B*15:18-C*07:04-DRB1*16:02-DQA1*01:02-DQB1*05:02-DPA1*02:01-DPB1*10:01  United Arab Emirates Pop 1 0.0467570
 38  A*68:01-B*50:01-C*07:01-DRB1*07:01-DQA1*02:01-DQB1*02:01-DPA1*02:01-DPB1*10:01  United Arab Emirates Pop 1 0.0467570
 39  A*24:02-B*35:03-C*12:03-DRB1*03:01-DQA1*01:02-DQB1*02:01-DPA1*02:01-DPB1*10:01  United Arab Emirates Pop 1 0.0467570
 40  DQA1*02:01-DQB1*03:03-DPA1*02:01-DPB1*10:01  Hong Kong Chinese HKBMDR. DQ and DP 0.04651,064
 41  DRB1*10:01-DQA1*01:01-DQB1*05:01-DPA1*02:01-DPB1*10:01  Pakistan Mixed Punjabi 0.0026389
 42  DRB1*13:01-DQA1*02:01-DQB1*06:03-DPA1*02:01-DPB1*10:01  Pakistan Mixed Punjabi 0.0026389
 43  DRB1*14:04-DQA1*01:02-DQB1*05:03-DPA1*02:01-DPB1*10:01  Pakistan Mixed Punjabi 0.0013389
 44  DRB1*15:01-DQA1*01:03-DQB1*06:01-DPA1*02:01-DPB1*10:01  Pakistan Mixed Punjabi 0.0013389
 45  DRB1*15:02-DQA1*01:02-DQB1*06:01-DPA1*02:01-DPB1*10:01  Pakistan Mixed Punjabi 0.0013389

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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