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 614) records   Pages: 1 2 3 4 5 6 7 of 7  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  B*40:02-DRB1*15:02:01  Philippines Ivatan 10.000050
 2  A*24-B*40-DRB1*15:02  Malaysia Sabah Kadazan 8.800057
 3  A*33:03-B*40:01-DRB1*15:02  Malaysia Patani 4.000025
 4  A*34:01-B*40:02-C*15:02-DRB1*15:02-DRB5*01:01-DQB1*05:02  USA NMDP Filipino 2.771350,614
 5  A*11:01:01-B*40:06-C*15:02:01-DRB1*15:02  Iran Baloch 2.3000100
 6  A*11:01-B*40:01-DRB1*15:02  Malaysia Champa 1.724129
 7  A*02:03:01-B*40-C*01:02:01-DRB1*15:02:01-DQB1*05:01:01-DPB1*13:01  China Yunnan Province Lisu 1.7000111
 8  B*40:01:01-DRB1*15:02:01  China Jingpo Minority 1.5620105
 9  B*40:01-DRB1*15:02:01  Taiwan Puyuma 1.300050
 10  A*02:03:01-B*40:01:01-DRB1*15:02:01  China Jingpo Minority 1.1560105
 11  B*40:01:01-C*03:03:01-DRB1*15:02:01  China Jingpo Minority 1.0420105
 12  B*40:01-DRB1*15:02:01  Philippines Ivatan 1.000050
 13  B*40:02-DRB1*15:02:01  Taiwan Tao 1.000050
 14  A*01:01-B*40:06-C*15:02-DRB1*15:02-DQB1*06:01  India West UCBB 0.70975,829
 15  A*02:11:01-B*40:06:01-C*15:02:01-DRB1*15:02:01-DQB1*06:01:01  India Karnataka Kannada Speaking 0.5750174
 16  A*33:03:01-B*40:01:01-DRB1*15:02:01  China Jingpo Minority 0.5350105
 17  A*02:03:01-B*40:01:01-C*03:03:01-DRB1*15:02:01  China Jingpo Minority 0.5210105
 18  A*33:03:01-B*40:01:01-C*03:03:01-DRB1*15:02:01  China Jingpo Minority 0.5210105
 19  B*40:01:01-C*01:02:01-DRB1*15:02:01  China Jingpo Minority 0.5210105
 20  A*02:03-B*40:01-C*03:03-DRB1*15:02-DQB1*05:01  India Northeast UCBB 0.5012296
 21  A*68:01:02-B*40:06:01-C*08:01:01-DRB1*15:02:01-DQB1*05:02:01  Vietnam Kinh 0.4950101
 22  A*11:01-B*40:06-C*15:02-DRB1*15:02-DQB1*06:01  India West UCBB 0.48725,829
 23  A*24:02-B*40:06-C*15:02-DRB1*15:02-DQB1*06:01  India East UCBB 0.42992,403
 24  A*01:01-B*40:53-C*15:02-DRB1*15:02-DQB1*06:01  Malaysia Peninsular Indian 0.3690271
 25  A*26:01-B*40:04-C*15:02-DRB1*15:02-DQB1*06:01  Malaysia Peninsular Indian 0.3690271
 26  A*01:01-B*40:06-C*15:02-DRB1*15:02-DQB1*06:01  India North UCBB 0.36575,849
 27  A*11:01-B*40:06-C*15:02-DRB1*15:02-DQB1*06:01  India North UCBB 0.35785,849
 28  A*24:02-B*40:06-C*15:02-DRB1*15:02-DQB1*06:01  India South UCBB 0.352611,446
 29  A*11:01-B*40:06-C*15:02-DRB1*15:02-DQB1*06:01  India Central UCBB 0.34854,204
 30  A*11:01-B*40:06-C*15:02-DRB1*15:02-DQB1*06:01  India Northeast UCBB 0.3378296
 31  A*68:01-B*40:01-C*12:03-DRB1*15:02-DQB1*06:01  India Northeast UCBB 0.3378296
 32  A*24:02-B*40:06-C*15:02-DRB1*15:02-DQB1*06:01  India West UCBB 0.31885,829
 33  A*24-B*40-DRB1*15:02  USA NMDP Asian and Pacific Islander 0.3000359,423
 34  A*34-B*40-DRB1*15:02  USA NMDP Asian and Pacific Islander 0.3000359,423
 35  A*01:01-B*40:06-C*15:02-DRB1*15:02-DQB1*06:01  India East UCBB 0.29842,403
 36  A*24:02-B*40:06-C*15:02-DRB1*15:02-DQB1*06:01  India Tamil Nadu 0.29642,492
 37  A*02:03-B*40:01-DRB1*15:02  Hong Kong Chinese cord blood registry 0.29123,892
 38  A*02:01:01-B*40:06:01-C*15:02:01-DRB1*15:02:01-DQB1*06:01:01  India Karnataka Kannada Speaking 0.2870174
 39  A*02:11:01-B*40:06:04-C*15:02:01-DRB1*15:02:01-DQB1*05:01:01  India Karnataka Kannada Speaking 0.2870174
 40  A*34:01-B*40:02-C*15:02-DRB1*15:02-DQB1*06:01  USA NMDP Hawaiian or other Pacific Islander 0.285411,499
 41  A*02:01:01-B*40:06:01-C*15:02:01-DRB1*15:02:01-DQB1*06:01:01  India Kerala Malayalam speaking 0.2810356
 42  A*24:02:01-B*40:06:01-C*15:02:01-DRB1*15:02:01-DQB1*06:01:01  India Kerala Malayalam speaking 0.2810356
 43  A*02:11-B*40:06-C*15:02-DRB1*15:02-DQB1*06:01  India South UCBB 0.270311,446
 44  A*02:01:01-B*40:06:01-C*15:02:01-DRB1*15:02:01-DQB1*06:01:01  India Andhra Pradesh Telugu Speaking 0.2688186
 45  A*24:02:01-B*40:06:01-C*15:02:01-DRB1*15:02:01-DQB1*06:01:01  India Andhra Pradesh Telugu Speaking 0.2688186
 46  A*26:01:01-B*40:06:01-C*01:17-DRB1*15:02:01-DQB1*06:01:01  India Andhra Pradesh Telugu Speaking 0.2688186
 47  A*68:01:02-B*40:06:01-C*01:02:01-DRB1*15:02:01-DQB1*05:02:01  India Andhra Pradesh Telugu Speaking 0.2688186
 48  A*01:01-B*40:06-C*15:02-DRB1*15:02-DQB1*06:01  India Central UCBB 0.26054,204
 49  A*24:02:01:01-B*40:06:01-C*08:01:01-DRB1*15:02-DQB1*06:01  Russia Bashkortostan, Tatars 0.2604192
 50  A*02:01-B*40:01-C*03:02-DRB1*15:02-DQB1*05:01  Malaysia Peninsular Chinese 0.2577194
 51  A*02:03-B*40:01-C*07:02-DRB1*15:02-DQB1*05:02  Malaysia Peninsular Chinese 0.2577194
 52  A*33:12-B*40:65-C*01:02-DRB1*15:02-DQB1*05:01  Malaysia Peninsular Chinese 0.2577194
 53  A*24:02-B*40:06-C*15:02-DRB1*15:02-DQB1*06:01  India North UCBB 0.24655,849
 54  A*11:01-B*40:01-C*03:04-DRB1*15:02-DQB1*06:01  India East UCBB 0.21652,403
 55  A*02:11-B*40:06-C*15:02-DRB1*15:02-DQB1*06:01  India Central UCBB 0.20584,204
 56  A*02:03-B*40:01-C*07:02-DRB1*15:02  Hong Kong Chinese BMDR 0.20567,595
 57  A*11:01-B*40:06-C*15:02-DRB1*15:02-DQB1*06:01  India South UCBB 0.200411,446
 58  A*34:01-B*40:02-C*15:02-DRB1*15:02-DQB1*05:02  USA Asian pop 2 0.20001,772
 59  A*11:01-B*40:06-C*15:02-DRB1*15:02-DQB1*06:01  India Tamil Nadu 0.19362,492
 60  A*02:06-B*40:06-C*15:02-DRB1*15:02-DQB1*06:01  Malaysia Peninsular Indian 0.1845271
 61  A*02:11-B*40:22N-C*12:02-DRB1*15:02-DQB1*06:01  Malaysia Peninsular Indian 0.1845271
 62  A*24:02-B*40:06-C*07:01-DRB1*15:02-DQB1*05:03  Malaysia Peninsular Indian 0.1845271
 63  A*24:64-B*40:06-C*15:02-DRB1*15:02-DQB1*06:01  Malaysia Peninsular Indian 0.1845271
 64  A*33:03-B*40:06-C*12:02-DRB1*15:02-DQB1*06:01  Malaysia Peninsular Indian 0.1845271
 65  A*01:01-B*40:01-C*12:03-DRB1*15:02-DQB1*06:01  USA Asian pop 2 0.17801,772
 66  A*01:01-B*40:06-C*15:02-DRB1*15:02-DQB1*06:01  India South UCBB 0.176411,446
 67  A*11:01-B*40:06-C*15:02-DRB1*15:02-DQB1*06:01  India East UCBB 0.17512,403
 68  A*11:01-B*40:01-C*03:03-DRB1*15:02-DQB1*05:01  India Northeast UCBB 0.1745296
 69  A*11:01-B*40:10-C*04:03-DRB1*15:02-DQB1*05:01  USA NMDP Hawaiian or other Pacific Islander 0.170311,499
 70  A*34:01-B*40:02-C*15:02-DRB1*15:02-DQB1*05:02  USA NMDP Hawaiian or other Pacific Islander 0.169511,499
 71  A*02:11-B*40:06-C*12:02-DRB1*15:02-DQB1*05:03  India Northeast UCBB 0.1689296
 72  A*11:01-B*40:01-C*03:04-DRB1*15:02-DQB1*06:01  India Northeast UCBB 0.1689296
 73  A*11:01-B*40:01-C*07:02-DRB1*15:02-DQB1*05:01  India Northeast UCBB 0.1689296
 74  A*11:01-B*40:06-C*01:02-DRB1*15:02-DQB1*06:01  India Northeast UCBB 0.1689296
 75  A*24:02-B*40:01-C*03:04-DRB1*15:02-DQB1*04:01  India Northeast UCBB 0.1689296
 76  A*26:01-B*40:01-C*03:04-DRB1*15:02-DQB1*06:01  India Northeast UCBB 0.1689296
 77  A*24:02-B*40:06-C*15:02-DRB1*15:02-DQB1*06:01  India Central UCBB 0.16814,204
 78  A*02:11-B*40:06-C*15:02-DRB1*15:02-DQB1*06:01  India Tamil Nadu 0.16722,492
 79  A*02:01-B*40:06-C*15:02-DRB1*15:02-DQB1*06:01  India Tamil Nadu 0.16402,492
 80  A*24:02-B*40:01-C*04:01-DRB1*15:02-DQB1*05:01  Malaysia Peninsular Malay 0.1577951
 81  A*03:01-B*40:01-DRB1*15:02-DQB1*06:01  Mexico Mexico City Tlalpan 0.1515330
 82  A*68:01-B*40:06-C*15:02-DRB1*15:02-DQB1*06:01  India West UCBB 0.15125,829
 83  A*02:01-B*40:06-C*15:02-DRB1*15:02-DQB1*06:01  India West UCBB 0.14685,829
 84  A*24:02-B*40:06-C*14:02-DRB1*15:02-DQA1*01:03-DQB1*06:01-DPB1*03:01  Sri Lanka Colombo 0.1401714
 85  A*24:02-B*40:06-C*15:02-DRB1*15:02-DQA1*01:03-DQB1*06:01-DPB1*04:01  Sri Lanka Colombo 0.1401714
 86  A*68:01-B*40:06-C*15:02-DRB1*15:02-DQA1*01:03-DQB1*06:01-DPB1*13:01  Sri Lanka Colombo 0.1401714
 87  A*11:01:01-B*40:01:01-C*06:02:01-DRB1*15:02:02-DQB1*06:01:01  India Kerala Malayalam speaking 0.1400356
 88  A*24:02:01-B*40:06:01-C*04:03:01-DRB1*15:02:02-DQB1*06:01:01  India Kerala Malayalam speaking 0.1400356
 89  A*24:03:01-B*40:06:01-C*06:02:01-DRB1*15:02:02-DQB1*06:01:01  India Kerala Malayalam speaking 0.1400356
 90  A*29:01:01-B*40:06:01-C*15:02:01-DRB1*15:02:01-DQB1*05:03:01  India Kerala Malayalam speaking 0.1400356
 91  A*33:03:01-B*40:06:01-C*06:02:01-DRB1*15:02:01-DQB1*06:01:01  India Kerala Malayalam speaking 0.1400356
 92  A*02:03:01-B*40:01:02-C*07:02:01-DRB1*15:02:01-DPB1*03:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.13865,266
 93  A*68:01-B*40:06-C*15:02-DRB1*15:02-DQB1*06:01  USA Asian pop 2 0.13301,772
 94  A*11:01-B*40:01-C*12:03-DRB1*15:02-DQB1*06:01  India West UCBB 0.13265,829
 95  A*11:01-B*40:01-C*03:04-DRB1*15:02-DQB1*06:01  India West UCBB 0.12905,829
 96  A*02:11-B*40:06-C*15:02-DRB1*15:02-DQB1*06:01  India East UCBB 0.12392,403
 97  A*11:01-B*40:06-C*01:02-DRB1*15:02-DQB1*06:01  India North UCBB 0.11945,849
 98  A*31:01-B*40:06-C*15:02-DRB1*15:02-DQB1*06:01  India North UCBB 0.11605,849
 99  A*02:11-B*40:06-C*15:02-DRB1*15:02-DQB1*06:01  India West UCBB 0.11555,829
 100  A*24:02-B*40:01-C*01:02-DRB1*15:02-DQB1*05:01  Malaysia Peninsular Malay 0.1052951

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 614) records   Pages: 1 2 3 4 5 6 7 of 7  


   

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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