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 110) records   Pages: 1 2 of 2  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  B*15:02-DRB1*15:02:01  Taiwan Puyuma 13.900050
 2  A*24:02-B*15:02-DRB1*15:02  Malaysia Pahang Semai 2.630038
 3  B*15:02-C*08:01:01-DRB1*15:02:02  China Jingpo Minority 0.5210105
 4  B*15:02-DRB1*15:02:02  China Jingpo Minority 0.5210105
 5  A*24:02:01-B*15:02:01-C*08:01:01-DRB1*15:02:01-DQB1*05:02:01  Vietnam Kinh 0.4950101
 6  A*02:03-B*15:02-C*08:01-DRB1*15:02-DQB1*05:01  India East UCBB 0.45522,403
 7  A*02:03-B*15:02-C*08:01-DRB1*15:02-DQB1*05:01  India Northeast UCBB 0.3378296
 8  A*24:02-B*15:02-C*08:01-DRB1*15:02-DQB1*05:01  India Northeast UCBB 0.3378296
 9  A*33:03-B*15:02-C*08:01-DRB1*15:02-DQB1*05:01  India Northeast UCBB 0.3378296
 10  A*24:02-B*15:02-C*08:01-DRB1*15:02-DQB1*05:01  Malaysia Peninsular Malay 0.3155951
 11  A*33:03:01-B*15:02:01-C*15:02:01-DRB1*15:02:01-DQB1*05:01:01  India Karnataka Kannada Speaking 0.2870174
 12  A*34:01-B*15:02-C*04:03-DRB1*15:02-DQB1*06:01  Malaysia Peninsular Malay 0.2639951
 13  A*02:06-B*15:02-C*08:01-DRB1*15:02-DQB1*05:01  Malaysia Peninsular Chinese 0.2577194
 14  A*11:01-B*15:02-C*08:01-DRB1*15:02-DQB1*05:01  Malaysia Peninsular Malay 0.2485951
 15  A*02:01-B*15:02-C*08:01-DRB1*15:02-DQB1*06:01  Malaysia Peninsular Indian 0.1845271
 16  A*02:11-B*15:02-C*04:01-DRB1*15:02-DQB1*06:01  Malaysia Peninsular Indian 0.1845271
 17  A*03:01-B*15:02-C*04:01-DRB1*15:02-DQB1*05:03  India Northeast UCBB 0.1689296
 18  A*11:01-B*15:02-C*08:01-DRB1*15:02-DQB1*03:02  India Northeast UCBB 0.1689296
 19  A*02:06:01-B*15:02:01-C*08:01:01-DRB1*15:02:01-DQB1*05:01:01  India Kerala Malayalam speaking 0.1400356
 20  A*24:02-B*15:02-C*08:01-DRB1*15:02-DQB1*06:01  Malaysia Peninsular Malay 0.1101951
 21  A*02:01-B*15:02-C*08:01-DRB1*15:02-DQB1*05:02  Malaysia Peninsular Malay 0.1052951
 22  A*34:01-B*15:02-C*15:02-DRB1*15:02-DQB1*06:01  Malaysia Peninsular Malay 0.1052951
 23  A*24:17-B*15:02-C*08:01-DRB1*15:02-DQB1*06:01  India West UCBB 0.09995,829
 24  A*24:02-B*15:02-DRB1*15:02  Hong Kong Chinese cord blood registry 0.08743,892
 25  A*24:17-B*15:02-C*08:01-DRB1*15:02-DQB1*06:01  India East UCBB 0.08322,403
 26  A*11:01-B*15:02-C*08:01-DRB1*15:02-DQB1*06:01  Malaysia Peninsular Malay 0.0529951
 27  A*02:02-B*15:02-C*07:02-DRB1*15:02-DQB1*05:02  Malaysia Peninsular Malay 0.0526951
 28  A*02:11-B*15:02-C*08:01-DRB1*15:02-DQB1*05:03  Malaysia Peninsular Malay 0.0526951
 29  A*02:25-B*15:02-C*08:01-DRB1*15:02-DQB1*05:01  Malaysia Peninsular Malay 0.0526951
 30  A*11:01-B*15:02-C*01:02-DRB1*15:02-DQB1*05:02  Malaysia Peninsular Malay 0.0526951
 31  A*11:01-B*15:02-C*08:16-DRB1*15:02-DQB1*05:01  Malaysia Peninsular Malay 0.0526951
 32  A*11:01-B*15:02-C*12:03-DRB1*15:02-DQB1*05:02  Malaysia Peninsular Malay 0.0526951
 33  A*24:02-B*15:02-C*08:01-DRB1*15:02-DQB1*05:02  Malaysia Peninsular Malay 0.0526951
 34  A*24:02-B*15:02-C*08:01-DRB1*15:02-DQB1*06:02  Malaysia Peninsular Malay 0.0526951
 35  A*24:02-B*15:02-C*08:10-DRB1*15:02-DQB1*06:01  Malaysia Peninsular Malay 0.0526951
 36  A*24:02-B*15:02-C*15:02-DRB1*15:02-DQB1*06:02  Malaysia Peninsular Malay 0.0526951
 37  A*24:07-B*15:02-C*03:04-DRB1*15:02-DQB1*05:01  Malaysia Peninsular Malay 0.0526951
 38  A*24:07-B*15:02-C*04:01-DRB1*15:02-DQB1*05:01  Malaysia Peninsular Malay 0.0526951
 39  A*24:10-B*15:02-C*03:04-DRB1*15:02-DQB1*05:01  Malaysia Peninsular Malay 0.0526951
 40  A*24:10-B*15:02-C*04:03-DRB1*15:02-DQB1*06:01  Malaysia Peninsular Malay 0.0526951
 41  A*26:01-B*15:02-C*08:01-DRB1*15:02-DQB1*02:01  Malaysia Peninsular Malay 0.0526951
 42  A*26:01-B*15:02-C*16:02-DRB1*15:02-DQB1*03:02  Malaysia Peninsular Malay 0.0526951
 43  A*34:01-B*15:02-C*04:03-DRB1*15:02-DQB1*05:02  Malaysia Peninsular Malay 0.0526951
 44  A*34:01-B*15:02-C*07:02-DRB1*15:02-DQB1*06:01  Malaysia Peninsular Malay 0.0526951
 45  A*34:01-B*15:02-C*08:10-DRB1*15:02-DQB1*05:01  Malaysia Peninsular Malay 0.0526951
 46  A*01:01-B*15:02-C*06:02-DRB1*15:02-DQB1*06:01  India Central UCBB 0.04764,204
 47  A*24:17-B*15:02-C*08:01-DRB1*15:02-DQB1*06:01  India Central UCBB 0.04764,204
 48  A*01:01-B*15:02-C*08:01-DRB1*15:02-DQB1*05:01  India East UCBB 0.04622,403
 49  A*24:17-B*15:02-C*08:01-DRB1*15:02-DQB1*06:01  USA Asian pop 2 0.04401,772
 50  A*02:03-B*15:02-C*08:01-DRB1*15:02-DQB1*05:01  India West UCBB 0.04295,829
 51  A*02:06-B*15:02-C*08:01-DRB1*15:02-DQB1*06:01  India East UCBB 0.04162,403
 52  A*24:02-B*15:02-C*15:02-DRB1*15:02-DQB1*05:01  India East UCBB 0.04162,403
 53  A*02:03-B*15:02-C*08:01-DRB1*15:02-DQB1*05:01  India Tamil Nadu 0.04012,492
 54  A*11:01-B*15:02-C*08:01-DRB1*15:02  Hong Kong Chinese BMDR 0.03637,595
 55  A*02:01-B*15:02-C*08:01-DRB1*15:02  Hong Kong Chinese BMDR 0.03077,595
 56  A*02:03-B*15:02-DRB1*15:02  Hong Kong Chinese cord blood registry 0.02973,892
 57  A*02:03:01-B*15:02:01-C*08:01:01-DRB1*15:02:01-DQB1*05:02:01  China Zhejiang Han 0.02881,734
 58  A*24:07-B*15:02-C*08:01-DRB1*15:02-DQB1*06:01  India East UCBB 0.02642,403
 59  A*01:01-B*15:02-C*06:02-DRB1*15:02-DQB1*06:01  India West UCBB 0.02575,829
 60  A*02:06-B*15:02-C*08:01-DRB1*15:02-DQB1*06:01  India Tamil Nadu 0.02382,492
 61  A*02:03-B*15:02-C*08:01-DRB1*15:02-DQB1*05:01  India Central UCBB 0.02384,204
 62  A*02:06-B*15:02-C*08:01-DRB1*15:02-DQB1*05:01  India East UCBB 0.02342,403
 63  A*11:01:01-B*15:02:01-C*08:01:01-DRB1*15:02:01-DPB1*03:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.02305,266
 64  A*68:01-B*15:02-C*08:01-DRB1*15:02-DQB1*05:01  India East UCBB 0.02192,403
 65  A*11:01-B*15:02-C*08:01-DRB1*15:02-DQB1*06:01  India South UCBB 0.021011,446
 66  A*03:01-B*15:02-C*01:02-DRB1*15:02-DQB1*05:01  India East UCBB 0.02082,403
 67  A*24:07-B*15:02-C*08:01-DRB1*15:02-DQB1*05:02  India East UCBB 0.02082,403
 68  A*26:01-B*15:02-C*15:02-DRB1*15:02-DQB1*05:01  India East UCBB 0.02082,403
 69  A*02:03-B*15:02-C*08:01-DRB1*15:02-DQB1*06:01  India North UCBB 0.01715,849
 70  A*11:01-B*15:02-C*08:01-DRB1*15:02-DQB1*06:01  India North UCBB 0.01655,849
 71  A*33:03-B*15:02-C*08:01-DRB1*15:02-DQB1*05:01  India East UCBB 0.01622,403
 72  A*02:06-B*15:02-C*08:01-DRB1*15:02-DQB1*06:01  India Central UCBB 0.01294,204
 73  A*02:10-B*15:02-DRB1*15:02  Hong Kong Chinese cord blood registry 0.01263,892
 74  A*02:11-B*15:02-C*08:01-DRB1*15:02-DQB1*05:02  India Central UCBB 0.01194,204
 75  A*24:02-B*15:02-C*08:01-DRB1*15:02-DQB1*05:03  India Central UCBB 0.01194,204
 76  A*33:03-B*15:02-C*08:01-DRB1*15:02-DQB1*06:02  India Central UCBB 0.01194,204
 77  A*11:01-B*15:02-DRB1*15:02  Hong Kong Chinese cord blood registry 0.01113,892
 78  A*24:02-B*15:02-C*08:01-DRB1*15:02-DQB1*02:01  India Tamil Nadu 0.00972,492
 79  A*02:03:01-B*15:02:01-C*08:01:01-DRB1*15:02:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00955,266
 80  A*33:03:01-B*15:02:01-C*08:01:01-DRB1*15:02:01-DPB1*02:02:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00945,266
 81  A*01:01-B*15:02-C*08:01-DRB1*15:02-DQB1*06:01  India West UCBB 0.00885,829
 82  A*24:07:01-B*15:02:01-C*08:01:01-DRB1*15:02:01-DPB1*13:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00885,266
 83  A*02:03-B*15:02-C*08:01-DRB1*15:02-DQB1*05:01  India South UCBB 0.008711,446
 84  A*68:01-B*15:02-C*08:01-DRB1*15:02-DQB1*05:01  India South UCBB 0.008711,446
 85  A*02:11-B*15:02-C*08:01-DRB1*15:02-DQB1*05:01  India West UCBB 0.00865,829
 86  A*11:01:01-B*15:02:01-C*08:01:01-DRB1*15:02:01-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.00865,266
 87  A*24:02-B*15:02-C*08:01-DRB1*15:02-DQB1*05:01  India West UCBB 0.00865,829
 88  A*24:07-B*15:02-C*08:01-DRB1*15:02-DQB1*05:01  India West UCBB 0.00865,829
 89  A*24:17-B*15:02-C*08:01-DRB1*15:02-DQB1*05:02  India West UCBB 0.00865,829
 90  A*32:01-B*15:02-C*08:01-DRB1*15:02-DQB1*06:01  India West UCBB 0.00865,829
 91  A*33:03-B*15:02-C*08:01-DRB1*15:02-DQB1*05:01  India West UCBB 0.00865,829
 92  A*02:01-B*15:02-C*08:01-DRB1*15:02-DQB1*05:01  India North UCBB 0.00855,849
 93  A*02:03-B*15:02-C*08:01-DRB1*15:02-DQB1*05:01  India North UCBB 0.00855,849
 94  A*02:11-B*15:02-C*08:01-DRB1*15:02-DQB1*05:01  India North UCBB 0.00855,849
 95  A*11:01-B*15:02-C*08:01-DRB1*15:02-DQB1*05:03  India North UCBB 0.00855,849
 96  A*26:01-B*15:02-C*08:01-DRB1*15:02-DQB1*06:01  India North UCBB 0.00855,849
 97  A*29:01-B*15:02-C*04:01-DRB1*15:02-DQB1*06:01  India North UCBB 0.00855,849
 98  A*11:01:01-B*15:02:01-C*08:01:01-DRB1*15:02:01-DPB1*13:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00835,266
 99  A*24:02-B*15:02-C*12:02-DRB1*15:02  Hong Kong Chinese BMDR 0.00667,595
 100  A*02:06-B*15:02-C*08:01-DRB1*15:02-DQB1*06:01  India South UCBB 0.004611,446

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 110) 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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