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 98 (from 98) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*24:02-B*52:01-C*12:02-DRB1*04:03-DQB1*03:02  Malaysia Peninsular Indian 1.1070271
 2  A*24:02-B*52:01-C*12:02-DRB1*04:03-DQB1*03:02  India Tamil Nadu 0.74112,492
 3  A*11:01:01-B*52:01:01-C*12:02:02-DRB1*04:03:01-DQB1*03:02:01  India Andhra Pradesh Telugu Speaking 0.5376186
 4  A*24:07:01-B*52:01:01-C*12:02:02-DRB1*04:03:01-DQB1*03:02:01  India Andhra Pradesh Telugu Speaking 0.5376186
 5  A*11:01-B*52:01-C*12:02-DRB1*04:03-DQB1*03:02  India South UCBB 0.533111,446
 6  A*24:07-B*52:01-C*12:02-DRB1*04:03-DQB1*03:02  India West UCBB 0.51385,829
 7  A*11:01-B*52:01-C*12:02-DRB1*04:03-DQB1*03:02  India Northeast UCBB 0.5068296
 8  A*24:02-B*52:01-C*12:02-DRB1*04:03-DQB1*03:02  India South UCBB 0.433411,446
 9  A*24:02:01-B*52:01:01-C*12:02:02-DRB1*04:03:01-DQB1*03:02:01  India Kerala Malayalam speaking 0.4210356
 10  A*24:02-B*52:01-C*12:02-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPB1*02:01  Sri Lanka Colombo 0.4202714
 11  A*11:01-B*52:01-C*12:02-DRB1*04:03-DQB1*03:02  India Tamil Nadu 0.40472,492
 12  A*24:07-B*52:01-C*12:02-DRB1*04:03-DQB1*03:02  India Central UCBB 0.40034,204
 13  A*02:01-B*52:01-C*12:02-DRB1*04:03-DQB1*03:02  India Tamil Nadu 0.38122,492
 14  A*24:07-B*52:01-C*12:02-DRB1*04:03-DQB1*03:02  India East UCBB 0.33832,403
 15  A*24:07-B*52:01-C*12:02-DRB1*04:03-DQB1*03:02  India North UCBB 0.29705,849
 16  A*02:16-B*52:01:01-C*12:02:01-DRB1*04:03:01-DQB1*03:02:01  India Karnataka Kannada Speaking 0.2870174
 17  A*24:02:01-B*52:01:01-C*12:02:02-DRB1*04:03:01-DQB1*03:02:01  India Andhra Pradesh Telugu Speaking 0.2688186
 18  A*24:02-B*52:01-C*12:02-DRB1*04:03-DQB1*03:02  India West UCBB 0.26165,829
 19  A*11:01-B*52:01-C*12:02-DRB1*04:03-DQB1*03:02  India East UCBB 0.24742,403
 20  A*24:02-B*52:01-C*12:02-DRB1*04:03-DQB1*03:02  India East UCBB 0.23142,403
 21  A*11:01-B*52:01-C*12:02-DRB1*04:03-DQB1*03:02  India Central UCBB 0.22764,204
 22  A*24:07-B*52:01-C*12:02-DRB1*04:03-DQB1*03:02  India South UCBB 0.213411,446
 23  A*11:01-B*52:01-C*12:02-DRB1*04:03-DQB1*03:02  India North UCBB 0.18725,849
 24  A*02:11-B*52:01-C*12:02-DRB1*04:03-DQB1*03:02  Malaysia Peninsular Indian 0.1845271
 25  A*01:01-B*52:01-C*12:02-DRB1*04:03-DQB1*03:02  India South UCBB 0.183111,446
 26  A*01:01-B*52:01-C*12:02-DRB1*04:03-DQB1*03:02  India West UCBB 0.17345,829
 27  A*24:07-B*52:01-C*12:02-DRB1*04:03-DQB1*03:02  India Northeast UCBB 0.1689296
 28  A*24:02-B*52:01-C*12:02-DRB1*04:03-DQB1*03:02  Malaysia Peninsular Malay 0.1577951
 29  A*01:01-B*52:01-C*12:02-DRB1*04:03-DQB1*03:02  India Tamil Nadu 0.15762,492
 30  A*24:02-B*52:01-C*12:02-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPB1*04:01  Sri Lanka Colombo 0.1401714
 31  A*01:01:01-B*52:01:01-C*12:02:02-DRB1*04:03:01-DQB1*03:02:01  India Kerala Malayalam speaking 0.1400356
 32  A*24:07:01-B*52:01:01-C*12:02:02-DRB1*04:03:01-DQB1*03:02:01  India Kerala Malayalam speaking 0.1400356
 33  A*68:01-B*52:01-C*12:02-DRB1*04:03-DQB1*03:02  India East UCBB 0.13822,403
 34  A*24:07-B*52:01-C*12:02-DRB1*04:03-DQB1*03:02  USA Asian pop 2 0.13301,772
 35  A*11:01-B*52:01-C*12:02-DRB1*04:03-DQB1*03:02  India West UCBB 0.13295,829
 36  A*24:02-B*52:01-C*12:02-DRB1*04:03-DQB1*03:02  India North UCBB 0.13115,849
 37  A*03:01-B*52:01-C*12:02-DRB1*04:03-DQB1*03:02  India North UCBB 0.12935,849
 38  A*02:01-B*52:01-C*12:02-DRB1*04:03-DQB1*03:02  India South UCBB 0.113611,446
 39  A*68:01-B*52:01-C*12:02-DRB1*04:03-DQB1*03:02  India West UCBB 0.10835,829
 40  A*03:01-B*52:01-C*12:02-DRB1*04:03-DQB1*03:02  India East UCBB 0.10402,403
 41  A*03:01-B*52:01-C*12:02-DRB1*04:03-DQB1*03:02  India Central UCBB 0.10104,204
 42  A*24:07-B*52:01-C*12:02-DRB1*04:03-DQB1*03:02  India Tamil Nadu 0.09552,492
 43  A*68:01-B*52:01-C*12:02-DRB1*04:03-DQB1*03:02  India North UCBB 0.09015,849
 44  A*24:02-B*52:01-C*12:02-DRB1*04:03-DQB1*03:02  USA Asian pop 2 0.08901,772
 45  A*68:01-B*52:01-C*12:02-DRB1*04:03-DQB1*03:02  India South UCBB 0.084911,446
 46  A*02:11-B*52:01-C*12:02-DRB1*04:03-DQB1*03:02  India South UCBB 0.081311,446
 47  A*03:01-B*52:01-C*12:02-DRB1*04:03-DQB1*03:02  India South UCBB 0.081211,446
 48  A*01:01-B*52:01-C*12:02-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPB1*13:01  Sri Lanka Colombo 0.0700714
 49  A*11:01-B*52:01-C*12:02-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPB1*26:01  Sri Lanka Colombo 0.0700714
 50  A*24:02-B*52:01-C*12:02-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPB1*01:01  Sri Lanka Colombo 0.0700714
 51  A*33:03-B*52:01-C*12:02-DRB1*04:03-DQB1*03:02  India West UCBB 0.06805,829
 52  A*68:01-B*52:01-C*12:02-DRB1*04:03-DQB1*03:02  India Tamil Nadu 0.06472,492
 53  A*02:11-B*52:01-C*12:02-DRB1*04:03-DQB1*03:02  India Tamil Nadu 0.06452,492
 54  A*33:03-B*52:01-C*12:02-DRB1*04:03-DQB1*03:02  India Tamil Nadu 0.06182,492
 55  A*02:11-B*52:01-C*12:02-DRB1*04:03-DQB1*03:02  India Central UCBB 0.06104,204
 56  A*03:01-B*52:01-C*12:02-DRB1*04:03-DQB1*03:02  India Tamil Nadu 0.06012,492
 57  A*02:01-B*52:01-C*12:02-DRB1*04:03-DQB1*03:02  India West UCBB 0.05505,829
 58  A*33:03-B*52:01-C*12:02-DRB1*04:03-DQB1*03:02  India North UCBB 0.04965,849
 59  A*02:11-B*52:01-C*12:02-DRB1*04:03-DQB1*03:02  USA Asian pop 2 0.04401,772
 60  A*03:02-B*52:01-C*12:02-DRB1*04:03-DQB1*03:02  USA Asian pop 2 0.04401,772
 61  A*32:01-B*52:01-C*12:02-DRB1*04:03-DQB1*03:02  India Tamil Nadu 0.04202,492
 62  A*26:01-B*52:01-C*12:02-DRB1*04:03-DQB1*03:02  India East UCBB 0.04162,403
 63  A*31:01-B*52:01-C*12:02-DRB1*04:03-DQB1*03:02  India Tamil Nadu 0.04132,492
 64  A*33:03-B*52:01-C*12:02-DRB1*04:03-DQB1*03:02  India South UCBB 0.040711,446
 65  A*03:01-B*52:01-C*12:02-DRB1*04:03-DQB1*03:02  India West UCBB 0.03935,829
 66  A*01:01-B*52:01-C*12:02-DRB1*04:03-DQB1*03:02  India North UCBB 0.03715,849
 67  A*33:03-B*52:01-C*12:02-DRB1*04:03-DQB1*03:02  India Central UCBB 0.03544,204
 68  A*68:01-B*52:01-C*12:02-DRB1*04:03-DQB1*03:02  India Central UCBB 0.03294,204
 69  A*31:01-B*52:01-C*12:02-DRB1*04:03-DQB1*03:02  India West UCBB 0.03035,829
 70  A*01:01-B*52:01-C*12:02-DRB1*04:03-DQB1*03:02  India East UCBB 0.03002,403
 71  A*24:02-B*52:01-C*12:02-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPA1*02:01-DPB1*05:01  Japan pop 17 0.03003,078
 72  A*24:02-B*52:01-C*12:02-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPA1*02:02-DPB1*02:01  Japan pop 17 0.03003,078
 73  A*24:02-B*52:01-C*12:02-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPA1*02:02-DPB1*03:01  Japan pop 17 0.03003,078
 74  A*26:03-B*52:01-C*12:02-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPA1*02:02-DPB1*02:01  Japan pop 17 0.03003,078
 75  A*31:01-B*52:01-C*12:02-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*02:01  Japan pop 17 0.03003,078
 76  A*02:11-B*52:01-C*12:02-DRB1*04:03-DQB1*03:02  India West UCBB 0.02625,829
 77  A*31:01-B*52:01-C*12:02-DRB1*04:03-DQB1*03:02  India South UCBB 0.022411,446
 78  A*32:01-B*52:01-C*12:02-DRB1*04:03-DQB1*03:02  India South UCBB 0.022011,446
 79  A*68:01-B*52:01-C*12:02-DRB1*04:03-DQB1*03:02  USA Asian pop 2 0.02201,772
 80  A*02:06-B*52:01-C*12:02-DRB1*04:03-DQB1*03:02  India West UCBB 0.02195,829
 81  A*26:01-B*52:01-C*12:02-DRB1*04:03-DQB1*03:02  India Tamil Nadu 0.02152,492
 82  A*32:01-B*52:01-C*12:02-DRB1*04:03-DQB1*03:02  India East UCBB 0.02082,403
 83  A*01:01-B*52:01-C*12:02-DRB1*04:03-DQB1*03:02  India Central UCBB 0.02064,204
 84  A*02:03-B*52:01-C*12:02-DRB1*04:03-DQB1*03:02  India East UCBB 0.02012,403
 85  A*26:01-B*52:01-C*12:02-DRB1*04:03-DQB1*03:02  India North UCBB 0.01815,849
 86  A*31:01-B*52:01-C*12:02-DRB1*04:03-DQB1*03:02  India Central UCBB 0.01664,204
 87  A*32:01-B*52:01-C*12:02-DRB1*04:03-DQB1*03:02  India West UCBB 0.01535,829
 88  A*24:02-B*52:01-C*12:02-DRB1*04:03-DQB1*03:02  India Central UCBB 0.01524,204
 89  A*11:44-B*52:01-C*12:02-DRB1*04:03-DQB1*03:02  India Central UCBB 0.01194,204
 90  A*31:06-B*52:01-C*12:02-DRB1*04:03-DQB1*03:02  India Central UCBB 0.01194,204
 91  A*31:01-B*52:01-C*12:02-DRB1*04:03-DQB1*03:02  India North UCBB 0.01015,849
 92  A*24:33-B*52:01-C*12:02-DRB1*04:03-DQB1*03:02  India West UCBB 0.00865,829
 93  A*29:01-B*52:01-C*12:02-DRB1*04:03-DQB1*03:02  India North UCBB 0.00855,849
 94  A*33:146-B*52:01-C*12:02-DRB1*04:03-DQB1*03:02  India North UCBB 0.00855,849
 95  A*29:01-B*52:01-C*12:02-DRB1*04:03-DQB1*03:02  India South UCBB 0.004611,446
 96  A*11:01:01-B*52:01:01-C*12:02:02-DRB1*04:03:01-DQB1*03:02:01  Poland BMR 0.002423,595
 97  A*01:01:01-B*52:01:01-C*12:02:02-DRB1*04:03:01-DQB1*03:02:01  Poland BMR 0.002423,595
 98  A*32:01:01-B*52:01:01-C*12:02:02-DRB1*04:03:01-DQB1*03:02:01  Poland BMR 0.001923,595

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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