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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Sample Size:      Sample Year:     Loci Tested: 
Displaying 1 to 96 (from 96) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*24:02-B*51:06-C*08:01-DRB1*15:01-DQB1*03:02  Iran Gorgan 0.780064
 2  A*29:01-B*51:06-DRB1*15:01  Israel YemenJews 0.314015,542
 3  A*02:11:01-B*51:06:01-C*07:02:01-DRB1*15:01:01-DQB1*06:01:01  India Karnataka Kannada Speaking 0.2870174
 4  A*02:11:01-B*51:06:01-C*14:02:01-DRB1*15:01:01-DQB1*05:03:01  India Karnataka Kannada Speaking 0.2870174
 5  A*11:01:01-B*51:06:01-C*14:02:01-DRB1*15:01:01-DQB1*06:01:01  India Karnataka Kannada Speaking 0.2870174
 6  A*02:02-B*51:06-DRB1*15:01  Israel YemenJews 0.268015,542
 7  A*11:01-B*51:06-C*14:02-DRB1*15:01-DQB1*06:01  India Tamil Nadu 0.24922,492
 8  A*02:17-B*51:06-DRB1*15:01  Israel YemenJews 0.203015,542
 9  A*24:84N-B*51:06-C*14:02-DRB1*15:01-DQB1*06:01  Malaysia Peninsular Indian 0.1845271
 10  A*11:01-B*51:06-C*14:02-DRB1*15:01-DQA1*01:02-DQB1*06:01-DPB1*13:01  Sri Lanka Colombo 0.1401714
 11  A*24:02-B*51:06-C*14:02-DRB1*15:01-DQA1*01:03-DQB1*06:01-DPB1*02:01  Sri Lanka Colombo 0.1401714
 12  A*02:01:01-B*51:06:01-C*06:02:01-DRB1*15:01:01-DQB1*06:02:01  India Kerala Malayalam speaking 0.1400356
 13  A*31:01:02-B*51:06:01-C*14:02:01-DRB1*15:01:01-DQB1*06:01:01  India Kerala Malayalam speaking 0.1400356
 14  A*24:02-B*51:06-C*14:02-DRB1*15:01-DQB1*06:01  India South UCBB 0.084311,446
 15  A*24:02-B*51:06-C*14:02-DRB1*15:01-DQB1*06:01  India Tamil Nadu 0.07382,492
 16  A*02:11-B*51:06-C*14:02-DRB1*15:01-DQA1*01:02-DQB1*06:01-DPB1*14:01  Sri Lanka Colombo 0.0700714
 17  A*11:01-B*51:06-C*14:02-DRB1*15:01-DQA1*01:02-DQB1*06:01-DPB1*09:01  Sri Lanka Colombo 0.0700714
 18  A*33:03-B*51:06-C*14:02-DRB1*15:01-DQA1*01:02-DQB1*06:01-DPB1*14:01  Sri Lanka Colombo 0.0700714
 19  A*11:01-B*51:06-C*14:02-DRB1*15:01-DQB1*06:01  India East UCBB 0.06242,403
 20  A*11:01-B*51:06-C*14:02-DRB1*15:01-DQB1*06:01  India North UCBB 0.05955,849
 21  A*11:01-B*51:06-C*14:02-DRB1*15:01-DQB1*06:01  India South UCBB 0.051211,446
 22  A*24:02-B*51:06-C*14:02-DRB1*15:01-DQB1*05:02  India East UCBB 0.04162,403
 23  A*26:01-B*51:06-C*14:02-DRB1*15:01-DQB1*06:01  India East UCBB 0.04162,403
 24  A*68:01-B*51:06-C*14:02-DRB1*15:01-DQB1*05:02  India East UCBB 0.04162,403
 25  A*02:11-B*51:06-C*14:02-DRB1*15:01-DQB1*06:01  India Tamil Nadu 0.03782,492
 26  A*68:01-B*51:06-C*15:02-DRB1*15:01-DQB1*06:01  India West UCBB 0.03585,829
 27  A*68:01-B*51:06-C*15:02-DRB1*15:01-DQB1*06:01  India Central UCBB 0.03574,204
 28  A*03:02-B*51:06-DRB1*15:01  Israel Kavkazi Jews 0.03522,840
 29  A*11:01-B*51:06-DRB1*15:01  Israel Kavkazi Jews 0.03522,840
 30  A*11:01-B*51:06-C*14:02-DRB1*15:01-DQB1*06:01  India West UCBB 0.03465,829
 31  A*24:02-B*51:06-C*14:02-DRB1*15:01-DQB1*06:01  India West UCBB 0.02925,829
 32  A*24:02-B*51:06-C*14:02-DRB1*15:01-DQB1*05:02  India South UCBB 0.023811,446
 33  A*03:01-B*51:06-C*14:02-DRB1*15:01-DQB1*06:01  India Tamil Nadu 0.02152,492
 34  A*02:131-B*51:06-C*14:02-DRB1*15:01-DQB1*06:01  India East UCBB 0.02082,403
 35  A*03:01-B*51:06-C*15:02-DRB1*15:01-DQB1*06:01  India East UCBB 0.02082,403
 36  A*11:01-B*51:06-C*04:01-DRB1*15:01-DQB1*04:02  India East UCBB 0.02082,403
 37  A*24:02-B*51:06-C*15:02-DRB1*15:01-DQB1*06:01  India East UCBB 0.02082,403
 38  A*02:01-B*51:06-C*14:02-DRB1*15:01-DQB1*05:01  India Tamil Nadu 0.02012,492
 39  A*24:02-B*51:06-C*14:02-DRB1*15:01-DQB1*05:02  India Tamil Nadu 0.02012,492
 40  A*26:01-B*51:06-C*14:02-DRB1*15:01-DQB1*06:01  India Tamil Nadu 0.02012,492
 41  A*02:131-B*51:06-C*14:02-DRB1*15:01-DQB1*06:01  India South UCBB 0.019311,446
 42  A*24:04-B*51:06-DRB1*15:01  Israel Kavkazi Jews 0.01762,840
 43  A*01:01-B*51:06-C*14:02-DRB1*15:01-DQB1*06:01  India West UCBB 0.01595,829
 44  A*11:01-B*51:06-DRB1*15:01  Israel Georgia Jews 0.01584,471
 45  A*01:01-B*51:06-C*14:02-DRB1*15:01-DQB1*06:01  India South UCBB 0.013311,446
 46  A*24:02-B*51:06-C*14:02-DRB1*15:01-DQB1*05:02  India Central UCBB 0.01194,204
 47  A*68:01-B*51:06-C*14:02-DRB1*15:01-DQB1*05:02  India Central UCBB 0.01194,204
 48  A*31:01-B*51:06-C*16:02-DRB1*15:01-DQB1*06:01  USA Asian pop 2 0.01101,772
 49  A*68:01-B*51:06-C*16:02-DRB1*15:01-DQB1*06:01  USA Asian pop 2 0.01101,772
 50  A*33:03-B*51:06-C*14:02-DRB1*15:01-DQB1*06:01  India Tamil Nadu 0.01002,492
 51  A*03:01-B*51:06-C*14:02-DRB1*15:01-DQB1*06:01  India North UCBB 0.00895,849
 52  A*02:05-B*51:06-C*14:02-DRB1*15:01-DQB1*05:02  India South UCBB 0.008711,446
 53  A*24:02-B*51:06-C*12:04-DRB1*15:01-DQB1*06:01  India South UCBB 0.008711,446
 54  A*68:01-B*51:06-C*14:02-DRB1*15:01-DQB1*05:02  India South UCBB 0.008711,446
 55  A*01:01-B*51:06-C*14:02-DRB1*15:01-DQB1*05:02  India West UCBB 0.00865,829
 56  A*03:01-B*51:06-C*14:02-DRB1*15:01-DQB1*05:02  India West UCBB 0.00865,829
 57  A*23:01-B*51:06-C*14:02-DRB1*15:01-DQB1*06:01  India West UCBB 0.00865,829
 58  A*01:01-B*51:06-C*14:02-DRB1*15:01-DQB1*05:02  India North UCBB 0.00855,849
 59  A*02:03-B*51:06-C*14:02-DRB1*15:01-DQB1*06:01  India North UCBB 0.00855,849
 60  A*02:11-B*51:06-C*14:02-DRB1*15:01-DQB1*06:01  India North UCBB 0.00855,849
 61  A*11:01-B*51:06-C*14:02-DRB1*15:01-DQB1*05:02  India North UCBB 0.00855,849
 62  A*26:01-B*51:06-C*14:02-DRB1*15:01-DQB1*05:02  India North UCBB 0.00855,849
 63  A*68:02-B*51:06-DRB1*15:01  Israel Ethiopia Jews 0.00845,928
 64  A*02:01-B*51:06-DRB1*15:01  Israel Iran Jews 0.00618,153
 65  A*02:01-B*51:06-DRB1*15:01  Israel YemenJews 0.006115,542
 66  A*33:03-B*51:06-C*14:02-DRB1*15:01-DQB1*05:02  India West UCBB 0.00605,829
 67  A*01:01-B*51:06-C*14:02-DRB1*15:01-DQB1*05:02  India South UCBB 0.005911,446
 68  A*03:01-B*51:06-C*14:02-DRB1*15:01-DQB1*06:01  India South UCBB 0.005711,446
 69  A*02:06-B*51:06-C*14:02-DRB1*15:01-DQB1*05:02  India South UCBB 0.005411,446
 70  A*23:01-B*51:06-DRB1*15:01  Israel YemenJews 0.004815,542
 71  A*11:01:01-B*51:06:01-C*14:02:01-DRB1*15:01:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00475,266
 72  A*01:01-B*51:06-C*04:10-DRB1*15:01-DQB1*06:01  India South UCBB 0.004411,446
 73  A*02:03-B*51:06-C*08:01-DRB1*15:01-DQB1*05:02  India South UCBB 0.004411,446
 74  A*02:03-B*51:06-C*15:02-DRB1*15:01-DQB1*06:01  India South UCBB 0.004411,446
 75  A*24:02-B*51:06-C*14:02-DRB1*15:01-DQB1*06:54N  India South UCBB 0.004411,446
 76  A*74:02-B*51:06-C*12:04-DRB1*15:01-DQB1*06:01  India South UCBB 0.004411,446
 77  A*02:17-B*51:06-DRB1*15:01  Israel USSR Jews 0.004345,681
 78  A*33:03-B*51:06-C*14:02-DRB1*15:01-DQB1*06:01  India South UCBB 0.004211,446
 79  A*26:01-B*51:06-DRB1*15:01  Israel YemenJews 0.004215,542
 80  A*11:01-B*51:06-C*14:02-DRB1*15:01  Hong Kong Chinese BMDR 0.00417,595
 81  A*33:01-B*51:06-DRB1*15:01  Israel YemenJews 0.003715,542
 82  A*02:01-B*51:06-C*14:02-DRB1*15:01-DQB1*06:01  India South UCBB 0.003311,446
 83  A*31:04-B*51:06-DRB1*15:01  Israel YemenJews 0.003215,542
 84  A*03:01-B*51:06-C*14:02-DRB1*15:01-DQB1*05:02  India South UCBB 0.003111,446
 85  A*01:03-B*51:06-DRB1*15:01  Israel YemenJews 0.003015,542
 86  A*24:17-B*51:06-DRB1*15:01  Israel YemenJews 0.002615,542
 87  A*24:02-B*51:06-DRB1*15:01  Israel USSR Jews 0.002245,681
 88  A*03:02-B*51:06-DRB1*15:01  Israel Arab pop 2 0.002012,301
 89  A*31:01-B*51:06-DRB1*15:01  Israel YemenJews 0.001815,542
 90  A*03:02-B*51:06-DRB1*15:01  Israel Morocco Jews 0.001436,718
 91  A*03:02-B*51:06-DRB1*15:01  Israel USSR Jews 0.001145,681
 92  A*11:04-B*51:06-DRB1*15:01  Israel USSR Jews 0.001145,681
 93  A*24:05-B*51:06-DRB1*15:01  Israel USSR Jews 0.001145,681
 94  A*31:01-B*51:06-DRB1*15:01  Israel USSR Jews 0.001145,681
 95  A*01:17-B*51:06-DRB1*15:01  Israel USSR Jews 0.000547045,681
 96  A*01:36-B*51:06-DRB1*15:01  Israel USSR Jews 0.000547045,681

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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