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 : 
Region:  Ethnic Origin:     Type of study :  Sort by: 
Sample Size:      Sample Year:     Loci Tested: 
Displaying 1 to 100 (from 209) records   Pages: 1 2 3 of 3  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*03:01-B*51:01-DRB1*10:01-DQB1*05:01  Iran Yazd 0.892956
 2  A*68-B*51-DRB1*10-DQA1*01:01-DQB1*05:01  Russia, South Ural, Chelyabinsk region, Nagaybaks 0.8900112
 3  A*29:01-B*51:01-DRB1*10:01-DQB1*05:01  Iran Tabriz Azeris 0.515597
 4  A*23-B*51-DRB1*10-DQA1*01:01-DQB1*05:01  Russia, South Ural, Chelyabinsk region, Nagaybaks 0.4400112
 5  A*02-B*51-DRB1*10-DQB1*05  Mexico Tamaulipas Rural 0.3968125
 6  A*24-B*51-C*14-DRB1*10-DQB1*05  Albania pop 2 0.3400432
 7  A*29:01:01-B*51:06:01-C*14:02:01-DRB1*10:01:01-DQB1*05:01:01  India Karnataka Kannada Speaking 0.2870174
 8  A*01:01:01-B*51:01:01-C*14:02:01-DRB1*10:01:01-DQB1*05:01:01  India Andhra Pradesh Telugu Speaking 0.2688186
 9  A*02:03-B*51:01-C*06:09-DRB1*10:01-DQB1*05:01  Malaysia Peninsular Indian 0.1845271
 10  A*02:11-B*51:01-C*15:04-DRB1*10:03-DQB1*05:03  Malaysia Peninsular Indian 0.1845271
 11  A*11:01-B*51:01-C*12:02-DRB1*10:01-DQB1*05:01  Malaysia Peninsular Indian 0.1845271
 12  A*11:12-B*51:02-C*16:02-DRB1*10:01-DQB1*05:01  Malaysia Peninsular Indian 0.1845271
 13  A*29:02-B*51:07-C*14:02-DRB1*10:01-DQB1*05:01  India Northeast UCBB 0.1689296
 14  A*32:01-B*51:07-C*14:02-DRB1*10:01-DQB1*05:01  India Tamil Nadu 0.16052,492
 15  A*03:01:01-B*51:01:01-C*16:02:01-DRB1*10:01:01-DQB1*05:01:01  India Kerala Malayalam speaking 0.1400356
 16  A*11:01:01-B*51:06:01-C*03:02:02-DRB1*10:01:01-DQB1*05:01:01  India Kerala Malayalam speaking 0.1400356
 17  A*26-B*51-DRB1*10-DQB1*05  Mexico Oaxaca Rural 0.1027485
 18  A*01:01-B*51:01-C*14:02-DRB1*10:01-DQB1*05:01  India Tamil Nadu 0.08032,492
 19  A*25-B*51-DRB1*10-DQB1*05  Mexico Puebla, Puebla city 0.07521,994
 20  A*03:01-B*51:01-C*16:02-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*04:01  Sri Lanka Colombo 0.0700714
 21  A*24:02-B*51:01-C*14:02-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*02:01  Sri Lanka Colombo 0.0700714
 22  A*31:01-B*51:01-C*14:02-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*04:01  Sri Lanka Colombo 0.0700714
 23  A*29-B*51-C*15-DRB1*10-DQA1*01-DQB1*05  Spain, Castilla y Leon, Northwest, 0.06571,743
 24  A*02:01-B*51:01-C*14:02-DRB1*10:01-DQB1*05:01  Germany DKMS - Turkey minority 0.06304,856
 25  A*02:05-B*51:07-C*14:02-DRB1*10:01-DQB1*05:01  India East UCBB 0.06242,403
 26  A*24:02-B*51:01-C*16:02-DRB1*10:01-DQB1*05:01  India East UCBB 0.06222,403
 27  A*11:01-B*51:01-C*16:02-DRB1*10:01-DQB1*05:01  India Tamil Nadu 0.06022,492
 28  A*01:01-B*51:01-C*16:02-DRB1*10:01-DQB1*05:01  India Central UCBB 0.05924,204
 29  A*03:01-B*51:01-C*14:02-DRB1*10:01-DQB1*05:01  India Tamil Nadu 0.05132,492
 30  A*01-B*51-DRB1*10-DQB1*05  Mexico Puebla, Puebla city 0.05011,994
 31  A*68:01-B*51:01-C*15:02-DRB1*10:01-DQB1*05:01  India East UCBB 0.04772,403
 32  A*68:01-B*51:01-C*14:02-DRB1*10:01-DQB1*05:01  India Tamil Nadu 0.04772,492
 33  A*68:01-B*51:01-C*14:02-DRB1*10:01-DQB1*05:01  India South UCBB 0.046411,446
 34  A*11:01-B*51:01-C*07:02-DRB1*10:01-DQB1*05:01  India South UCBB 0.044711,446
 35  A*24:02-B*51:09-C*01:02-DRB1*10:01-DQB1*05:01  USA African American pop 4 0.04402,411
 36  A*26:01-B*51:01-C*16:02-DRB1*10:01-DQB1*05:01  USA Asian pop 2 0.04401,772
 37  A*02:01-B*51:01-C*14:02-DRB1*10:01-DQB1*05:01  Germany DKMS - Italy minority 0.04301,159
 38  A*03:01-B*51:01-C*16:02-DRB1*10:01-DQB1*05:01  Germany DKMS - Italy minority 0.04301,159
 39  A*02:05-B*51:07-C*14:02-DRB1*10:01-DQB1*05:01  India North UCBB 0.04275,849
 40  A*02-B*51-DRB1*10-DQB1*05  Mexico Jalisco, Guadalajara city 0.04191,189
 41  A*32:01-B*51:07-C*14:02-DRB1*10:01-DQB1*05:01  India East UCBB 0.04162,403
 42  A*02:11-B*51:01-C*16:02-DRB1*10:01-DQB1*05:01  India Tamil Nadu 0.04042,492
 43  A*03:01-B*51:01-C*07:02-DRB1*10:01-DQB1*05:01  India Tamil Nadu 0.04012,492
 44  A*32:01-B*51:07-C*14:02-DRB1*10:01-DQB1*05:01  India North UCBB 0.03625,849
 45  A*26:01:01-B*51:01:01:01-C*06:02:01:01-DRB1*10:01:01-DQB1*05:01  Russia Nizhny Novgorod, Russians 0.03311,510
 46  A*01-B*51-C*14-DRB1*10-DQA1*01-DQB1*05  Spain, Castilla y Leon, Northwest, 0.03281,743
 47  A*02-B*51-C*14-DRB1*10-DQA1*01-DQB1*05  Spain, Castilla y Leon, Northwest, 0.03281,743
 48  A*02-B*51-C*15-DRB1*10-DQA1*01-DQB1*05  Spain, Castilla y Leon, Northwest, 0.03281,743
 49  A*24-B*51-C*14-DRB1*10-DQA1*01-DQB1*05  Spain, Castilla y Leon, Northwest, 0.03281,743
 50  A*02:01-B*51:01-C*16:02-DRB1*10:01-DQB1*05:01  India North UCBB 0.03155,849
 51  A*01:01-B*51:01-C*14:02-DRB1*10:01-DQB1*05:01  India South UCBB 0.030811,446
 52  A*31:01-B*51:01-C*03:04-DRB1*10:01-DQA1*01:05-DQB1*05:01-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 53  A*68:01-B*51:01-C*14:02-DRB1*10:02-DQB1*05:01  India Tamil Nadu 0.02742,492
 54  A*02:01-B*51:01-C*16:02-DRB1*10:01-DQB1*05:01  Germany DKMS - Turkey minority 0.02604,856
 55  A*31:01-B*51:01-C*15:02-DRB1*10:01-DQB1*05:01  India Tamil Nadu 0.02582,492
 56  A*32:01-B*51:07-C*14:02-DRB1*10:01-DQB1*05:01  India West UCBB 0.02575,829
 57  A*02:01-B*51:01-C*16:02-DRB1*10:01-DQB1*05:01  India South UCBB 0.025311,446
 58  A*11:01-B*51:01-C*15:02-DRB1*10:01-DQB1*05:01  India West UCBB 0.02475,829
 59  A*02:11-B*51:01-C*07:02-DRB1*10:01-DQB1*05:01  India Central UCBB 0.02384,204
 60  A*02:11-B*51:01-C*15:02-DRB1*10:01-DQB1*05:01  India Central UCBB 0.02384,204
 61  A*11:01-B*51:07-C*14:02-DRB1*10:01-DQB1*05:01  India Central UCBB 0.02384,204
 62  A*32:01-B*51:07-C*14:02-DRB1*10:01-DQB1*05:01  India Central UCBB 0.02384,204
 63  A*26:01-B*51:01-C*14:02-DRB1*10:01-DQB1*05:01  India Tamil Nadu 0.02312,492
 64  A*02:11-B*51:01-C*16:02-DRB1*10:01-DQB1*05:01  India South UCBB 0.022311,446
 65  A*11:01-B*51:01-C*16:02-DRB1*10:01-DQB1*05:01  India East UCBB 0.02202,403
 66  A*11:01-B*51:01-C*14:02-DRB1*10:01-DQB1*05:01  India East UCBB 0.02182,403
 67  A*01:01-B*51:01-C*16:02-DRB1*10:01-DQB1*05:01  India East UCBB 0.02102,403
 68  A*24:02-B*51:01-C*14:02-DRB1*10:01-DQB1*05:01  India South UCBB 0.020911,446
 69  A*01:01-B*51:07-C*14:02-DRB1*10:01-DQB1*05:01  India East UCBB 0.02082,403
 70  A*02:01-B*51:01-C*01:02-DRB1*10:01-DQB1*05:01  India East UCBB 0.02082,403
 71  A*29:02-B*51:07-C*14:02-DRB1*10:01-DQB1*05:01  India East UCBB 0.02082,403
 72  A*31:01-B*51:01-C*16:02-DRB1*10:01-DQB1*05:01  India East UCBB 0.02082,403
 73  A*32:01-B*51:01-C*01:02-DRB1*10:01-DQB1*05:01  India East UCBB 0.02082,403
 74  A*33:03-B*51:06-C*05:01-DRB1*10:01-DQB1*05:02  India East UCBB 0.02082,403
 75  A*68:01-B*51:01-C*14:02-DRB1*10:01-DQB1*05:01  India East UCBB 0.02082,403
 76  A*01:01-B*51:01-C*16:02-DRB1*10:01-DQB1*05:01  India Tamil Nadu 0.02012,492
 77  A*02:01-B*51:63-C*14:02-DRB1*10:01-DQB1*05:01  India Tamil Nadu 0.02012,492
 78  A*31:01-B*51:01-C*14:02-DRB1*10:01-DQB1*05:01  India Tamil Nadu 0.02012,492
 79  A*68:01-B*51:01-C*16:02-DRB1*10:01-DQB1*05:01  India Tamil Nadu 0.02012,492
 80  A*68:01-B*51:07-C*14:02-DRB1*10:01-DQB1*05:01  India Tamil Nadu 0.02012,492
 81  A*01:01-B*51:01-C*14:02-DRB1*10:01-DQB1*05:01  India West UCBB 0.01795,829
 82  A*68:01-B*51:01-C*01:02-DRB1*10:01-DQB1*05:01  India West UCBB 0.01725,829
 83  A*68:01-B*51:17-C*04:01-DRB1*10:01-DQB1*05:01  India West UCBB 0.01725,829
 84  A*02:01-B*51:01-C*14:02-DRB1*10:01-DQB1*05:01  India North UCBB 0.01715,849
 85  A*31:01-B*51:01-C*14:02-DRB1*10:01-DQB1*05:01  India South UCBB 0.016411,446
 86  A*33:03-B*51:01-C*16:02-DRB1*10:01-DQB1*05:01  India West UCBB 0.01565,829
 87  A*26:01-B*51:01-C*16:02-DRB1*10:01-DQB1*05:01  India West UCBB 0.01525,829
 88  A*24:02-B*51:06-C*14:02-DRB1*10:01-DQB1*05:01  India Tamil Nadu 0.01422,492
 89  A*24:02-B*51:01-C*07:02-DRB1*10:01-DQB1*05:01  India South UCBB 0.013811,446
 90  A*26:01-B*51:06-C*14:02-DRB1*10:01-DQB1*05:01  India South UCBB 0.013211,446
 91  A*02:11-B*51:06-C*14:02-DRB1*10:01-DQB1*05:01  India South UCBB 0.013011,446
 92  A*31:01-B*51:01-C*14:02-DRB1*10:01-DQB1*05:01  India West UCBB 0.01295,829
 93  A*03:01-B*51:01-C*14:02-DRB1*10:02-DQB1*05:01  India South UCBB 0.012511,446
 94  A*02:01-B*51:01-C*15:02-DRB1*10:01-DQB1*05:01  India Central UCBB 0.01244,204
 95  A*68:01-B*51:01-C*16:02-DRB1*10:01-DQB1*05:01  India Central UCBB 0.01214,204
 96  A*26:01-B*51:02-C*08:01-DRB1*10:01-DQB1*05:01  USA Hispanic pop 2 0.01201,999
 97  A*31:01-B*51:02-C*08:01-DRB1*10:01-DQB1*05:01  USA Hispanic pop 2 0.01201,999
 98  A*01:01-B*51:07-C*14:02-DRB1*10:01-DQB1*05:01  India Central UCBB 0.01194,204
 99  A*02:11-B*51:01-C*15:04-DRB1*10:01-DQB1*05:01  India Central UCBB 0.01194,204
 100  A*03:01-B*51:01-C*04:01-DRB1*10:01-DQB1*05:01  India Central UCBB 0.01194,204

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 209) records   Pages: 1 2 3 of 3  


   

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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