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 100 (from 127) records   Pages: 1 2 of 2  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*29-B*44-DRB1*10-DQB1*05  Mexico San Luis Potosi Rural 1.149487
 2  A*33:03:01-B*44:03:02-C*07:01:01-DRB1*10:01:01-DQB1*05:01:01  India Karnataka Kannada Speaking 0.8620174
 3  A*33:03-B*44:03-C*07:06-DRB1*10:01-DQB1*05:01  India Northeast UCBB 0.5068296
 4  A*02-B*44-DRB1*10-DQB1*05  Mexico Sonora, Hermosillo 0.505199
 5  A*02-B*44-DRB1*10-DQB1*05  Mexico Sonora, Ciudad Obregón 0.3497143
 6  A*26-B*44-DRB1*10-DQB1*05  Mexico Durango, Durango city 0.3226153
 7  A*02-B*44-DRB1*10-DQB1*05  Mexico Sinaloa Rural 0.2732183
 8  A*03-B*44-DRB1*10-DQB1*05  Mexico Sinaloa Rural 0.2732183
 9  A*11:01:01-B*44:03:02-C*07:06-DRB1*10:01:01-DQB1*05:01:01  India Andhra Pradesh Telugu Speaking 0.2688186
 10  A*31-B*44-DRB1*10-DQB1*05  Mexico Veracruz, Xalapa 0.2674187
 11  A*02-B*44-DRB1*10-DQB1*05  Mexico Sonora Rural 0.2538197
 12  A*29-B*44-DRB1*10-DQB1*05  Mexico Coahuila, Torreon 0.2500396
 13  A*23:01:01-B*44:03:01-C*04:01:01-DRB1*10:01:01-DQB1*05:01:01  Spain, Canary Islands, Gran canaria island 0.2300215
 14  A*02:02-B*44:02-C*04:01-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*04:02  Nicaragua Managua 0.2165339
 15  A*03:02-B*44:02-C*05:01-DRB1*10:01:01-DQB1*05:01:01  England North West 0.2000298
 16  A*33:03-B*44:03-C*07:01-DRB1*10:01-DQB1*05:01  India Tamil Nadu 0.17922,492
 17  A*33:03-B*44:03-C*07:06-DRB1*10:01-DQB1*05:01  India Central UCBB 0.17884,204
 18  A*11-B*44-DRB1*10-DQB1*05  Mexico Jalisco Rural 0.1706585
 19  A*02:01-B*44:03-C*02:02-DRB1*10:01-DQB1*05:01  India Northeast UCBB 0.1689296
 20  A*33:03-B*44:03-C*07:06-DRB1*10:01-DQB1*05:01  India West UCBB 0.14775,829
 21  A*33:03-B*44:03-C*07:06-DRB1*10:01-DQB1*05:01  India North UCBB 0.14165,849
 22  A*33:03-B*44:03-C*07:06-DRB1*10:01-DQB1*05:01  India South UCBB 0.120911,446
 23  A*02:01-B*44:02-C*05:01-DRB1*10:01-DQB1*05:01-DPB1*04:02  Russia Karelia 0.10751,075
 24  A*02-B*44-DRB1*10-DQB1*05  Mexico Oaxaca Rural 0.1027485
 25  A*03:01:01-B*44:02:01-C*05:01:01-DRB1*10:01:01-DQB1*05:01:01-DPB1*04:01:01  Saudi Arabia pop 6 (G) 0.095928,927
 26  A*31-B*44-DRB1*10-DQB1*05  Mexico Veracruz Rural 0.0924539
 27  A*33-B*44-DRB1*10-DQB1*05  Mexico Jalisco Rural 0.0853585
 28  A*02-B*44-DRB1*10:01-DQA1*01:01-DQB1*05:01  Brazil Paraná Caucasian 0.0780641
 29  A*33:03-B*44:03-C*07:01-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*04:01  Sri Lanka Colombo 0.0700714
 30  A*33:03-B*44:03-C*07:01-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*14:01  Sri Lanka Colombo 0.0700714
 31  A*29-B*44-C*16-DRB1*10-DQA1*01-DQB1*05  Spain, Castilla y Leon, Northwest, 0.06571,743
 32  A*02:01-B*44:03-C*07:06-DRB1*10:01-DQB1*05:01  India South UCBB 0.055911,446
 33  A*33:03-B*44:03-C*07:06-DRB1*10:01-DQB1*05:01  India East UCBB 0.05272,403
 34  A*29-B*44-DRB1*10-DQB1*05  Mexico Puebla, Puebla city 0.05011,994
 35  A*26:07-B*44:02-C*05:01-DRB1*10:01-DQB1*05:01  USA Hispanic pop 2 0.04701,999
 36  A*30:02-B*44:03-C*07:01-DRB1*10:01-DQB1*05:01  USA African American pop 4 0.04402,411
 37  A*02-B*44-DRB1*10-DQB1*05  Mexico Jalisco, Guadalajara city 0.04191,189
 38  A*24:07-B*44:03-C*07:06-DRB1*10:01-DQB1*05:01  India East UCBB 0.04102,403
 39  A*03:02-B*44:02-C*16:04-DRB1*10:01-DQB1*05:01  Colombia Bogotá Cord Blood 0.03421,463
 40  A*24:02-B*44:03-C*04:01-DRB1*10:01-DQB1*05:01  Colombia Bogotá Cord Blood 0.03421,463
 41  A*66:02-B*44:03-C*06:02-DRB1*10:01-DQB1*05:01  Colombia Bogotá Cord Blood 0.03421,463
 42  A*02:02-B*44:02-C*07:01-DRB1*10:01-DQB1*05:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 43  A*30-B*44-C*16-DRB1*10-DQA1*01-DQB1*05  Spain, Castilla y Leon, Northwest, 0.03281,743
 44  A*02:01:01:01-B*44:02:01:01-C*05:01:01-DRB1*10:01:01-DQB1*05:01  Russia Nizhny Novgorod, Russians 0.03201,510
 45  A*24:02-B*44:03-C*07:06-DRB1*10:01-DQB1*05:01  India Central UCBB 0.02964,204
 46  A*01:01-B*44:03-C*07:06-DRB1*10:01-DQB1*05:01  India South UCBB 0.028611,446
 47  A*23:01-B*44:03-C*04:01-DRB1*10:01-DQB1*05:01  India West UCBB 0.02575,829
 48  A*11:01-B*44:03-C*07:06-DRB1*10:01-DQB1*05:01  India East UCBB 0.02532,403
 49  A*03-B*44-DRB1*10-DQB1*05  Mexico Puebla, Puebla city 0.02511,994
 50  A*11:01-B*44:03-C*14:03-DRB1*10:01-DQB1*05:01  India Central UCBB 0.02384,204
 51  A*32:01-B*44:02-C*05:01-DRB1*10:01-DQB1*05:01  India Central UCBB 0.02254,204
 52  A*33:03-B*44:03-C*04:01-DRB1*10:01-DQB1*05:01  India East UCBB 0.02182,403
 53  A*68:01-B*44:03-C*04:01-DRB1*10:01-DQB1*05:01  India East UCBB 0.02082,403
 54  A*02:11-B*44:03-C*07:06-DRB1*10:01-DQB1*05:01  India North UCBB 0.02055,849
 55  A*01:01-B*44:03-C*07:01-DRB1*10:01-DQB1*05:01  India Tamil Nadu 0.02012,492
 56  A*11:01-B*44:03-C*05:01-DRB1*10:01-DQB1*05:01  India Tamil Nadu 0.02012,492
 57  A*68:01-B*44:03-C*07:01-DRB1*10:01-DQB1*05:01  India Tamil Nadu 0.02012,492
 58  A*02-B*44-C*05-DRB1*10-DQB1*05-DPB1*02  Norway ethnic Norwegians 0.02004,510
 59  A*29:02:01-B*44:03:01-C*16:01:01-DRB1*10:01:01-DQB1*05:01:01  Poland BMR 0.017723,595
 60  A*11:01-B*44:03-C*07:06-DRB1*10:01-DQB1*05:01  India North UCBB 0.01475,849
 61  A*24:02-B*44:03-C*07:06-DRB1*10:01-DQB1*05:01  India North UCBB 0.01455,849
 62  A*02:01:01-B*44:02:01-C*05:01:01-DRB1*10:01:01-DQB1*05:01:01  Poland BMR 0.014423,595
 63  A*26:01-B*44:03-C*07:06-DRB1*10:01-DQB1*05:01  India Central UCBB 0.01214,204
 64  A*68:01-B*44:03-C*07:06-DRB1*10:01-DQB1*05:01  India Central UCBB 0.01204,204
 65  A*31:01-B*44:02-C*05:01-DRB1*10:01-DQB1*05:01  India Central UCBB 0.01194,204
 66  A*68:01-B*44:02-C*05:01-DRB1*10:01-DQB1*05:01  India Central UCBB 0.01194,204
 67  A*24:07-B*44:03-C*07:06-DRB1*10:01-DQB1*05:01  India Central UCBB 0.01144,204
 68  A*01:01-B*44:02-C*05:01-DRB1*10:01-DQB1*05:01  USA Asian pop 2 0.01101,772
 69  A*01:01-B*44:03-C*17:01-DRB1*10:01-DQB1*05:01  USA African American pop 4 0.01102,411
 70  A*02:01-B*44:02-C*05:01-DRB1*10:01-DQB1*05:01  USA Asian pop 2 0.01101,772
 71  A*33:03-B*44:03-C*17:01-DRB1*10:01-DQB1*05:01  USA African American pop 4 0.01102,411
 72  A*11:01-B*44:03-C*07:06-DRB1*10:01-DQB1*05:01  India West UCBB 0.01095,829
 73  A*24-B*44-C*12-DRB1*10-DQB1*05-DPB1*02  Myanmar Bamar 0.010946
 74  A*26:01-B*44:03-C*07:06-DRB1*10:01-DQB1*05:01  India South UCBB 0.010311,446
 75  A*32:01-B*44:02-C*05:01-DRB1*10:01-DQB1*05:01  India Tamil Nadu 0.01002,492
 76  A*01:01-B*44:02-C*16:04-DRB1*10:01-DQB1*05:01  India Tamil Nadu 0.01002,492
 77  A*02:01-B*44:05-C*02:02-DRB1*10:01-DQB1*05:01  Germany DKMS - Turkey minority 0.01004,856
 78  A*03:01-B*44:02-C*07:04-DRB1*10:01-DQB1*05:01  Germany DKMS - Turkey minority 0.01004,856
 79  A*23:01-B*44:03-C*04:01-DRB1*10:01-DQB1*05:01  Germany DKMS - Turkey minority 0.01004,856
 80  A*23-B*44-C*04-DRB1*10-DQB1*05-DPB1*04  Norway ethnic Norwegians 0.01004,510
 81  A*24:02-B*44:03-C*07:06-DRB1*10:01-DQB1*05:01  India South UCBB 0.010011,446
 82  A*33:03-B*44:02-C*16:04-DRB1*10:01-DQB1*05:01  Germany DKMS - Turkey minority 0.01004,856
 83  A*68:01-B*44:02-C*07:04-DRB1*10:01-DQB1*05:01  Germany DKMS - Turkey minority 0.01004,856
 84  A*68:01-B*44:02-C*15:05-DRB1*10:01-DQB1*05:01  Germany DKMS - Turkey minority 0.01004,856
 85  A*68:01-B*44:03-C*07:06-DRB1*10:01-DQB1*05:01  India South UCBB 0.008911,446
 86  A*11:01-B*44:03-C*07:06-DRB1*10:01-DQB1*05:01  India South UCBB 0.008811,446
 87  A*68:01-B*44:03-C*07:06-DRB1*10:01-DQB1*05:01  India North UCBB 0.00875,849
 88  A*03:02-B*44:02-C*02:02-DRB1*10:01-DQB1*05:01  India West UCBB 0.00865,829
 89  A*11:01-B*44:03-C*04:01-DRB1*10:01-DQB1*05:01  India West UCBB 0.00865,829
 90  A*02:01-B*44:02-C*16:04-DRB1*10:01-DQB1*05:01  India North UCBB 0.00855,849
 91  A*29:01-B*44:03-C*07:06-DRB1*10:01-DQB1*05:01  India North UCBB 0.00855,849
 92  A*01:01-B*44:03-C*06:02-DRB1*10:01-DQB1*05:01  India Tamil Nadu 0.00702,492
 93  A*01:136-B*44:03-C*06:02-DRB1*10:01-DQB1*05:01  India Tamil Nadu 0.00702,492
 94  A*11:01:01-B*44:02:01-C*05:01:01-DRB1*10:01:01-DQB1*05:01:01  Poland BMR 0.006223,595
 95  A*24:07-B*44:03-C*07:06-DRB1*10:01-DQB1*05:01  India South UCBB 0.004511,446
 96  A*01:01-B*44:02-C*07:02-DRB1*10:01-DQB1*05:01  India South UCBB 0.004411,446
 97  A*01:01-B*44:03-C*06:02-DRB1*10:01-DQB1*05:01  India South UCBB 0.004411,446
 98  A*03:02-B*44:03-C*06:02-DRB1*10:01-DQB1*05:01  India South UCBB 0.004411,446
 99  A*11:01-B*44:03-C*04:01-DRB1*10:01-DQB1*05:01  India South UCBB 0.004411,446
 100  A*33:03-B*44:02-C*05:01-DRB1*10:01-DQB1*05:01  India South UCBB 0.004411,446

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).


Displaying 1 to 100 (from 127) records   Pages: 1 2 of 2  


   

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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