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 79 (from 79) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*11:01:01-B*07:02:01-C*07:02:01-DRB1*10:01:01-DQB1*05:01:01  Vietnam Kinh 0.9900101
 2  A*03:01-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  Italy pop 5 0.4400975
 3  A*02:01:01-B*07:02:01-C*07:02:01-DRB1*10:01:01-DQA1*01:03:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*04:01:01  Russian Federation Vologda Region 0.4202119
 4  A*68:01-B*07:02-C*07:02-DRB1*10:01-DQA1*05:05-DQB1*05:01  Brazil Puyanawa 0.3333150
 5  A*32:01:01-B*07:02:01-C*07:02:01-DRB1*10:01:01-DQB1*05:01:01  India Kerala Malayalam speaking 0.2760356
 6  A*31:01:02-B*07:02:01-C*07:02:01-DRB1*10:01:01-DQB1*05:01:01  India Andhra Pradesh Telugu Speaking 0.2688186
 7  A*03:01-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  India Tamil Nadu 0.24692,492
 8  A*03:01-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  India East UCBB 0.23642,403
 9  A*02:01-B*07:02-C*07:02-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPA1*02:01-DPB1*11:01  Mexico Chiapas Lacandon Mayans 0.2294218
 10  A*03:01-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  India North UCBB 0.20895,849
 11  A*03:01-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  India Central UCBB 0.18394,204
 12  A*11:01-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  India Northeast UCBB 0.1689296
 13  A*24:02-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  India Tamil Nadu 0.16512,492
 14  A*33:03-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01-DPB1*17:01  Tanzania Maasai 0.1597336
 15  A*03:01-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  India West UCBB 0.15635,829
 16  A*01:01:01-B*07:02:01-C*07:02:01-DRB1*10:01:01-DQB1*05:01:01  India Kerala Malayalam speaking 0.1450356
 17  A*02:01:01-B*07:02:21-C*07:02:01-DRB1*10:01:01-DQB1*05:01:01  India Kerala Malayalam speaking 0.1400356
 18  A*03:01-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  India South UCBB 0.134511,446
 19  A*11:01-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  India East UCBB 0.12722,403
 20  A*24:02-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  India Central UCBB 0.11824,204
 21  A*24:02-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  India North UCBB 0.10615,849
 22  A*03:01-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  Colombia Bogotá Cord Blood 0.10251,463
 23  A*01:01-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  India West UCBB 0.09715,829
 24  A*24:02-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  India South UCBB 0.082211,446
 25  A*11:01-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  India Central UCBB 0.07674,204
 26  A*11:01-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  India West UCBB 0.07615,829
 27  A*11:01-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  India Tamil Nadu 0.07562,492
 28  A*11:01-B*07:02-C*07:02-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*09:01  Sri Lanka Colombo 0.0700714
 29  A*24:02-B*07:02-C*07:02-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*17:01  Sri Lanka Colombo 0.0700714
 30  A*24:02-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  India East UCBB 0.06742,403
 31  A*68:01-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  India Central UCBB 0.06504,204
 32  A*11:01-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  India North UCBB 0.05675,849
 33  A*68:01-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  India North UCBB 0.05445,849
 34  A*11:01-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  India South UCBB 0.053611,446
 35  A*24:02-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  USA Hispanic pop 2 0.04701,999
 36  A*01:01-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  USA Asian pop 2 0.04401,772
 37  A*02:01-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  USA African American pop 4 0.04402,411
 38  A*32:01-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  USA Asian pop 2 0.04401,772
 39  A*32:01-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  India East UCBB 0.04162,403
 40  A*68:24-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  India East UCBB 0.04162,403
 41  A*32:01-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  India North UCBB 0.03535,849
 42  A*32:01-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  India South UCBB 0.034811,446
 43  A*02:05-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 44  A*03:01-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 45  A*24:02-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 46  A*11:01-B*07:02:01-C*07:02:01:03-DRB1*10:01:01-DQB1*05:01  Russia Nizhny Novgorod, Russians 0.03311,510
 47  A*26:01:01-B*07:02:01-C*07:02:01:03-DRB1*10:01:01-DQB1*05:01  Russia Nizhny Novgorod, Russians 0.03311,510
 48  A*02:01-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  India South UCBB 0.027311,446
 49  A*24:02-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  India West UCBB 0.02715,829
 50  A*68:01-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  India West UCBB 0.02575,829
 51  A*02:01-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  India Central UCBB 0.02264,204
 52  A*01:01-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  India South UCBB 0.021311,446
 53  A*32:01-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  India Central UCBB 0.02134,204
 54  A*02:01-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  India East UCBB 0.02082,403
 55  A*33:03-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  India Tamil Nadu 0.02012,492
 56  A*02:09-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  India South UCBB 0.016911,446
 57  A*68:01-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  India South UCBB 0.014411,446
 58  A*02:131-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  India South UCBB 0.013111,446
 59  A*29:02-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  USA Hispanic pop 2 0.01201,999
 60  A*31:01-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  USA Hispanic pop 2 0.01201,999
 61  A*29:01-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  India Central UCBB 0.01194,204
 62  A*33:03-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  India West UCBB 0.01145,829
 63  A*26:01-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  India South UCBB 0.011111,446
 64  A*03:01:01-B*07:02:01-C*07:02:01-DRB1*10:01:01-DQB1*05:01:01  Poland BMR 0.010823,595
 65  A*31:01-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  India South UCBB 0.010511,446
 66  A*01:01-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  Germany DKMS - Turkey minority 0.01004,856
 67  A*24:02-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  Germany DKMS - Turkey minority 0.01004,856
 68  A*02:01-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  India North UCBB 0.00965,849
 69  A*03:02-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  India North UCBB 0.00925,849
 70  A*02:09-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  India West UCBB 0.00865,829
 71  A*31:12-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  India North UCBB 0.00865,849
 72  A*01:01:01-B*07:02:01-C*07:02:01-DRB1*10:01:01-DQB1*05:01:01  Poland BMR 0.006223,595
 73  A*02:11-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  India North UCBB 0.00615,849
 74  A*02:06-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  India South UCBB 0.005411,446
 75  A*33:03-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  India South UCBB 0.005211,446
 76  A*02:01:01-B*07:02:01-C*07:02:01-DRB1*10:01:01-DQB1*05:01:01  Poland BMR 0.004423,595
 77  A*24:02:01-B*07:02:01-C*07:02:01-DRB1*10:01:01-DQB1*05:01:01  Poland BMR 0.002223,595
 78  A*03:26-B*07:02:01-C*07:02:01-DRB1*10:01:01-DQB1*05:01:01  Poland BMR 0.002123,595
 79  A*01:01-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  India East UCBB 0.00182,403

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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