Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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A B C DRB1 DPA1 DPB1 DQA1 DQB1

Population:  Country:  Source of dataset : 
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Displaying 1 to 73 (from 73) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*24:02:01-B*51:01:01-C*15:02:01-DRB1*13:01:01-DQB1*06:03:01  India Andhra Pradesh Telugu Speaking 1.0753186
 2  A*24:02:01-B*51:01:01-C*14:02:01-DRB1*13:01:01-DQB1*06:03:01  India Karnataka Kannada Speaking 0.8620174
 3  A*24-B*51-DRB1*13:47-DQB1*06:03  Mexico Sinaloa Capomos Mayo Yoremes 0.833360
 4  A*24-B*51-DRB1*13-DQB1*06  Mexico Tabasco, Villahermosa 0.609882
 5  A*24:02-B*51:01-DRB1*13:01-DQB1*06:03  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 6  A*24-B*51-C*15-DRB1*13-DQB1*06  Albania pop 2 0.3400432
 7  A*24:02:01-B*51:01:01-C*14:02:01-DRB1*13:01:01-DQB1*06:03:01  India Andhra Pradesh Telugu Speaking 0.2688186
 8  A*24:02:01:01-B*51:01:01-C*14:02:01-DRB1*13:01:01-DQB1*06:03:01  Russia Bashkortostan, Tatars 0.2604192
 9  A*24-B*51-DRB1*13:01-DQA1*01:03-DQB1*06:03  Brazil Paraná Caucasian 0.2542641
 10  A*24:02:01-B*51:01:01-C*07:01:02-DRB1*13:02:01-DQB1*06:04:01-DPA1*02:01:01-DPB1*14:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 11  A*24:02-B*51:01-C*03:04-DRB1*13:02-DQB1*06:09  Malaysia Peninsular Indian 0.1845271
 12  A*24:07-B*51:01-C*07:04-DRB1*13:01-DQB1*06:03  Malaysia Peninsular Indian 0.1845271
 13  A*24:02-B*51:01-C*16:02-DRB1*13:01-DQB1*06:03  India Northeast UCBB 0.1689296
 14  A*24-B*51-DRB1*13-DQB1*06  Mexico Durango Rural 0.1529326
 15  A*24:02-B*51:01-C*01:02-DRB1*13:01-DQB1*06:03  Italy pop 5 0.1400975
 16  A*24:02-B*51:01-C*14:02-DRB1*13:01-DQB1*06:03  India North UCBB 0.09165,849
 17  A*24:02-B*51:01-C*15:02-DRB1*13:01-DQB1*06:03  Germany DKMS - Italy minority 0.08601,159
 18  A*24:03-B*51:01-C*07:01-DRB1*13:01-DQB1*06:03  Germany DKMS - Italy minority 0.08601,159
 19  A*24:02-B*51:01-C*14:02-DRB1*13:01-DQB1*06:03  India South UCBB 0.071511,446
 20  A*24:02-B*51:01-C*14:02-DRB1*13:01-DQA1*01:03-DQB1*06:01-DPB1*02:01  Sri Lanka Colombo 0.0700714
 21  A*24:02-B*51:01-C*14:02-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*02:01  Sri Lanka Colombo 0.0700714
 22  A*24:03-B*51:01-C*16:02-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*13:01  Sri Lanka Colombo 0.0700714
 23  A*24:02-B*51:01-C*14:02-DRB1*13:01-DQB1*06:03  India West UCBB 0.06255,829
 24  A*24-B*51-DRB1*13-DQB1*06  Ecuador Andes Mixed Ancestry 0.0607824
 25  A*24:02-B*51:01-C*14:02-DRB1*13:01-DQB1*06:03  India Tamil Nadu 0.05962,492
 26  A*24:02-B*51:02-C*14:02-DRB1*13:73-DQB1*06:09  Malaysia Peninsular Malay 0.0526951
 27  A*24:02-B*51:01-C*16:02-DRB1*13:01-DQB1*06:03  Germany DKMS - Turkey minority 0.05204,856
 28  A*24:02-B*51:01-C*02:02-DRB1*13:02-DQB1*06:09  Germany DKMS - Italy minority 0.04301,159
 29  A*24:02-B*51:01-C*15:02-DRB1*13:02-DQB1*06:04  Germany DKMS - Italy minority 0.04301,159
 30  A*24-B*51-DRB1*13-DQB1*06  Ecuador Mixed Ancestry 0.04261,173
 31  A*24:02-B*51:01-C*15:02-DRB1*13:01-DQB1*06:03  India East UCBB 0.04162,403
 32  A*24:02-B*51:01-C*16:02-DRB1*13:01-DQB1*06:03  India Central UCBB 0.03884,204
 33  A*24:02-B*51:01-C*15:02-DRB1*13:01-DQB1*06:03  India West UCBB 0.03815,829
 34  A*24:02-B*51:01-C*02:02-DRB1*13:01-DQB1*06:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 35  A*24:02:01-B*51:01:01-C*05:01:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.030323,595
 36  A*24:02-B*51:06-C*14:02-DRB1*13:01-DQB1*06:03  India Central UCBB 0.02384,204
 37  A*24:02-B*51:01-C*15:02-DRB1*13:01-DQB1*06:03  India North UCBB 0.02285,849
 38  A*24:02-B*51:01-C*16:02-DRB1*13:01-DQB1*06:03  India Tamil Nadu 0.02252,492
 39  A*24:02-B*51:01-C*15:02-DRB1*13:01-DQB1*06:03  USA Asian pop 2 0.02201,772
 40  A*24:02-B*51:01-C*15:02-DRB1*13:02-DQB1*06:09  Germany DKMS - Turkey minority 0.02104,856
 41  A*24:02-B*51:01-C*07:29-DRB1*13:01-DQB1*06:03  India East UCBB 0.02082,403
 42  A*24:02-B*51:01-C*16:02-DRB1*13:01-DQB1*06:110  India East UCBB 0.02082,403
 43  A*24:02-B*51:06-C*12:04-DRB1*13:01-DQB1*06:03  India East UCBB 0.02082,403
 44  A*24:07-B*51:01-C*14:02-DRB1*13:01-DQB1*06:03  India East UCBB 0.02082,403
 45  A*24:03-B*51:06-C*14:02-DRB1*13:01-DQB1*06:03  India Tamil Nadu 0.02022,492
 46  A*24-B*51-C*15-DRB1*13-DQB1*06-DPB1*04  Norway ethnic Norwegians 0.02004,510
 47  A*24:02-B*51:01-C*16:02-DRB1*13:01-DQB1*06:03  India South UCBB 0.017711,446
 48  A*24:02-B*51:01-C*16:02-DRB1*13:01-DQB1*06:110  India West UCBB 0.01725,829
 49  A*24:02-B*51:01-C*16:02-DRB1*13:01-DQB1*06:03  India West UCBB 0.01305,829
 50  A*24:02-B*51:01-C*07:02-DRB1*13:01-DQB1*06:03  Germany DKMS - Turkey minority 0.01204,856
 51  A*24:02-B*51:01-C*02:02-DRB1*13:01-DQB1*06:03  Germany DKMS - Turkey minority 0.01004,856
 52  A*24:02-B*51:01-C*15:02-DRB1*13:02-DQB1*06:04  Germany DKMS - Turkey minority 0.01004,856
 53  A*24:02-B*51:01-C*15:06-DRB1*13:01-DQB1*06:03  Germany DKMS - Turkey minority 0.01004,856
 54  A*24:02-B*51:09-C*15:04-DRB1*13:02-DQB1*06:04  Germany DKMS - Turkey minority 0.01004,856
 55  A*24:03-B*51:01-C*14:02-DRB1*13:01-DQB1*06:03  Germany DKMS - Turkey minority 0.01004,856
 56  A*24-B*51-C*01-DRB1*13-DQB1*06-DPB1*09  Norway ethnic Norwegians 0.01004,510
 57  A*24-B*51-C*02-DRB1*13-DQB1*06-DPB1*03  Norway ethnic Norwegians 0.01004,510
 58  A*24:02:01-B*51:01:01-C*14:02:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.009923,595
 59  A*24:07-B*51:01-C*14:02-DRB1*13:01-DQB1*06:03  India South UCBB 0.009411,446
 60  A*24:07-B*51:01-C*12:09-DRB1*13:01-DQB1*06:03  India West UCBB 0.00865,829
 61  A*24:17-B*51:01-C*16:02-DRB1*13:01-DQB1*06:110  India West UCBB 0.00865,829
 62  A*24:02-B*51:01-C*07:29-DRB1*13:01-DQB1*06:03  India North UCBB 0.00855,849
 63  A*24:02-B*51:01-C*14:12-DRB1*13:01-DQB1*06:110  India North UCBB 0.00855,849
 64  A*24:02-B*51:06-C*14:02-DRB1*13:02-DQB1*06:09  India North UCBB 0.00855,849
 65  A*24:02:01-B*51:01:01-C*15:02:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.007623,595
 66  A*24:07-B*51:01-C*04:01-DRB1*13:01-DQB1*06:03  India West UCBB 0.00715,829
 67  A*24:02-B*51:06-C*14:02-DRB1*13:01-DQB1*06:03  India South UCBB 0.006811,446
 68  A*24:07-B*51:01-C*16:02-DRB1*13:01-DQB1*06:110  India East UCBB 0.00532,403
 69  A*24:02-B*51:01-C*16:02-DRB1*13:02-DQB1*06:09  India South UCBB 0.004411,446
 70  A*24:02:01-B*51:01:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.002123,595
 71  A*24:02:01-B*51:01:01-C*07:02:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.002123,595
 72  A*24:02:01-B*51:01:01-C*15:02:01-DRB1*13:02:01-DQB1*06:09:01  Poland BMR 0.002123,595
 73  A*24:02:01-B*51:01:01-C*16:02:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.001923,595

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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