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 69 (from 69) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*01-B*37-C*06-DRB1*14  Myanmar Chin 0.909055
 2  A*01:01:01-B*37:01:01-C*06:02:01-DRB1*14:04:01-DQB1*05:03:01  India Kerala Malayalam speaking 0.4210356
 3  A*03:01:01-B*37:01:01-C*06:02:01-DRB1*14:02:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 4  A*01:01:01-B*37:01:01-C*06:02:01-DRB1*14:04:01-DQB1*05:03:01  India Andhra Pradesh Telugu Speaking 0.2688186
 5  A*01:01-B*37:01-C*06:02-DRB1*14:01  Germany DKMS - Bosnia and Herzegovina minority 0.18801,028
 6  A*24:02-B*37:01-C*06:02-DRB1*14:04-DQB1*05:03  Malaysia Peninsular Indian 0.1845271
 7  A*01:01-B*37:01-C*06:02-DRB1*14:01  Italy pop 5 0.1000975
 8  A*01:01-B*37:01-C*06:02-DRB1*14:04-DQB1*05:03  India Central UCBB 0.07724,204
 9  A*01:01-B*37:01-C*06:02-DRB1*14:04-DQB1*05:03  India North UCBB 0.07485,849
 10  A*03:01-B*37:01-C*06:02-DRB1*14:01  Germany DKMS - Netherlands minority 0.07301,374
 11  A*01:01-B*37:01-C*06:02-DRB1*14:04-DQA1*01:01-DQB1*05:03-DPB1*02:01  Sri Lanka Colombo 0.0700714
 12  A*01:01-B*37:01-C*06:02-DRB1*14:04-DQA1*01:01-DQB1*05:03-DPB1*04:01  Sri Lanka Colombo 0.0700714
 13  A*33:03-B*37:01-C*06:02-DRB1*14:04-DQA1*01:01-DQB1*05:03-DPB1*16:01  Sri Lanka Colombo 0.0700714
 14  A*01:01-B*37:01-C*06:02-DRB1*14:04-DQB1*05:03  India South UCBB 0.049911,446
 15  A*01:01-B*37:01-C*06:02-DRB1*14:01  Germany DKMS - United Kingdom minority 0.04801,043
 16  A*31:01-B*37:01-C*06:02-DRB1*14:01  Germany DKMS - United Kingdom minority 0.04801,043
 17  A*01:01-B*37:01-C*06:02-DRB1*14:04-DQB1*05:03  India West UCBB 0.04585,829
 18  A*03:01-B*37:01-C*06:02-DRB1*14:01-DQB1*05:03  Germany DKMS - Italy minority 0.04301,159
 19  A*03:01-B*37:01-C*06:02-DRB1*14:01  Germany DKMS - France minority 0.03601,406
 20  A*68:01-B*37:01-C*06:02-DRB1*14:01  Germany DKMS - France minority 0.03601,406
 21  A*24:02-B*37:01-C*06:02-DRB1*14:01-DQB1*05:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 22  A*03:01:01:01-B*37:01:01-C*06:02:01:01-DRB1*14:54-DQB1*05:03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 23  A*01:01-B*37:01-C*06:02-DRB1*14:54-DQB1*05:03  India Central UCBB 0.03134,204
 24  A*01:01-B*37:01-C*06:02-DRB1*14:54-DQA1*01:04-DQB1*05:02-DPA1*01:03-DPB1*04:02  Japan pop 17 0.03003,078
 25  A*01:01-B*37:01-C*06:02-DRB1*14:54-DQA1*01:04-DQB1*05:03-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 26  A*74:03-B*37:01-C*06:02-DRB1*14:01  Germany DKMS - Austria minority 0.02901,698
 27  A*01:01:01-B*37:01:01-C*06:02:01-DRB1*14:54:01-DQB1*05:02:01  China Zhejiang Han 0.02881,734
 28  A*01:01-B*37:01-C*06:02-DRB1*14:54-DQB1*05:03  India South UCBB 0.028311,446
 29  A*02:01-B*37:01-C*06:02-DRB1*14:05-DQB1*05:03  USA Asian pop 2 0.02201,772
 30  A*69:01-B*37:01-C*06:02-DRB1*14:31-DQB1*05:03  India Tamil Nadu 0.02012,492
 31  A*01:01-B*37:01-C*06:02-DRB1*14:54-DQB1*05:03  India West UCBB 0.01725,829
 32  A*01:01-B*37:01-C*06:02-DRB1*14:54  Japan pop 16 0.016018,604
 33  A*33:03-B*37:01-C*06:02-DRB1*14:54-DQB1*05:03  India North UCBB 0.01435,849
 34  A*03:01-B*37:01-C*06:02-DRB1*14:54-DQB1*05:03  India Central UCBB 0.01414,204
 35  A*11:01-B*37:01-C*06:02-DRB1*14:04-DQB1*05:03  India Central UCBB 0.01324,204
 36  A*01:01-B*37:01-C*06:02-DRB1*14:04-DQB1*05:03  India East UCBB 0.01192,403
 37  A*02:06-B*37:01-C*06:02-DRB1*14:01-DQB1*05:03  India Central UCBB 0.01194,204
 38  A*32:01-B*37:01-C*06:02-DRB1*14:54-DQB1*05:03  India Central UCBB 0.01194,204
 39  A*03:01-B*37:01-C*06:02-DRB1*14:04-DQB1*05:03  India South UCBB 0.010411,446
 40  A*03:02-B*37:01-C*06:02-DRB1*14:04-DQB1*05:03  India North UCBB 0.01045,849
 41  A*23:01-B*37:01-C*06:02-DRB1*14:01-DQB1*05:02  Germany DKMS - Turkey minority 0.01004,856
 42  A*01:01:01-B*37:01:01-C*06:02:01-DRB1*14:05:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00955,266
 43  A*01:01-B*37:04-C*06:02-DRB1*14:04-DQB1*05:03  India West UCBB 0.00865,829
 44  A*02:06-B*37:01-C*06:02-DRB1*14:04-DQB1*06:01  India West UCBB 0.00865,829
 45  A*02:06-B*37:01-C*06:02-DRB1*14:17-DQB1*06:03  India West UCBB 0.00865,829
 46  A*11:01-B*37:01-C*06:02-DRB1*14:15-DQB1*05:03  India West UCBB 0.00865,829
 47  A*02:01-B*37:01-C*06:02-DRB1*14:07-DQB1*05:03  India North UCBB 0.00855,849
 48  A*02:11-B*37:01-C*06:02-DRB1*14:54-DQB1*05:03  India North UCBB 0.00855,849
 49  A*11:01-B*37:01-C*06:02-DRB1*14:04-DQB1*05:03  India South UCBB 0.007811,446
 50  A*02:11-B*37:01-C*06:02-DRB1*14:04-DQB1*05:03  India West UCBB 0.00775,829
 51  A*01:01-B*37:01-C*06:02-DRB1*14:05  Hong Kong Chinese BMDR 0.00667,595
 52  A*68:01-B*37:01-C*06:02-DRB1*14:04-DQB1*05:03  India South UCBB 0.006011,446
 53  A*01:01-B*37:01-C*06:02-DRB1*14:54-DQB1*05:03  India North UCBB 0.00515,849
 54  A*01:01-B*37:01-C*06:02-DRB1*14:06  Japan pop 16 0.005018,604
 55  A*26:01-B*37:01-C*06:02-DRB1*14:54  Japan pop 16 0.005018,604
 56  A*01:01-B*37:01-C*06:02-DRB1*14:07-DQB1*05:03  India South UCBB 0.004411,446
 57  A*01:01-B*37:01-C*06:02-DRB1*14:10-DQB1*05:10  India South UCBB 0.004411,446
 58  A*03:01-B*37:01-C*06:02-DRB1*14:15-DQB1*05:03  India South UCBB 0.004411,446
 59  A*24:02-B*37:01-C*06:02-DRB1*14:28-DQB1*05:03  India South UCBB 0.004411,446
 60  A*32:01-B*37:01-C*06:02-DRB1*14:04-DQB1*05:03  India South UCBB 0.004411,446
 61  A*68:01-B*37:01-C*06:02-DRB1*14:11-DQB1*05:03  India South UCBB 0.004411,446
 62  A*24:02:01-B*37:01:01-C*06:02:01-DRB1*14:54:01-DQB1*05:03:01  Poland BMR 0.004223,595
 63  A*02:01-B*37:01-C*06:02-DRB1*14:01  Poland DKMS 0.004120,653
 64  A*02:06-B*37:01-C*06:02-DRB1*14:04-DQB1*05:03  India South UCBB 0.003811,446
 65  A*02:11-B*37:01-C*06:02-DRB1*14:04-DQB1*05:03  India South UCBB 0.003711,446
 66  A*02:01-B*37:01-C*06:02-DRB1*14:04-DQB1*05:03  India South UCBB 0.003211,446
 67  A*11:01-B*37:01-C*06:02-DRB1*14:01  Poland DKMS 0.003120,653
 68  A*24:02:01-B*37:01:10-C*06:02:01-DRB1*14:04:01-DQB1*05:03:01  Poland BMR 0.002123,595
 69  A*01:01:01-B*37:01:01-C*06:02:01-DRB1*14:54:01-DQB1*05:03:01  Poland BMR 0.002123,595

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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