Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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A B C DRB1 DPA1 DPB1 DQA1 DQB1

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Displaying 1 to 100 (from 495) records   Pages: 1 2 3 4 5 of 5  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*11:01-B*15:01-DRB1*15:06  Gaza 1.282042
 2  A*03:01:01-B*53:01:01-C*04:01:01-DRB1*15:06:01-DQB1*06:03:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Parda 0.5882170
 3  A*02:01-B*39:01-DRB1*15:06-DQB1*06:02  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 4  DRB1*15:06-DQB1*05:02  USA Asian pop 2 0.44101,772
 5  A*11:01-B*15:01-C*04:01-DRB1*15:06-DQB1*05:02  India Central UCBB 0.39724,204
 6  A*11:01-B*35:01-C*04:01-DRB1*15:06-DQB1*05:02  India North UCBB 0.30755,849
 7  A*01:01:01-B*58:01:01-C*03:02:01-DRB1*15:06:01-DQB1*05:02:01  India Karnataka Kannada Speaking 0.2870174
 8  A*11:01:01-B*51:01:01-C*12:02:02-DRB1*15:06:01-DQB1*05:02:01  India Karnataka Kannada Speaking 0.2870174
 9  A*01:01:01-B*37:01:01-C*07:02:01-DRB1*15:06:01-DQB1*05:02:01  India Andhra Pradesh Telugu Speaking 0.2688186
 10  A*26:01:01-B*15:01:01-C*04:01:01-DRB1*15:06:01-DQB1*05:02:01  India Andhra Pradesh Telugu Speaking 0.2688186
 11  A*11:01-B*15:01-C*04:01-DRB1*15:06-DQB1*05:02  India North UCBB 0.22275,849
 12  A*03:01-B*15:01-C*04:01-DRB1*15:06-DQA1*01:02-DQB1*05:02-DPB1*02:01  Sri Lanka Colombo 0.2101714
 13  A*03:01-B*35:01-C*04:01-DRB1*15:06-DQA1*01:02-DQB1*05:02-DPB1*02:01  Sri Lanka Colombo 0.2101714
 14  A*11:01-B*35:01-C*04:01-DRB1*15:06-DQB1*05:02  India Central UCBB 0.19664,204
 15  A*01:01:01-B*15:30:01-C*03:03:01-DRB1*15:06:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 16  A*24:02-B*51:04-C*14:02-DRB1*15:06-DQB1*05:02  Malaysia Peninsular Indian 0.1845271
 17  A*02:11-B*40:06-C*15:02-DRB1*15:06-DQB1*05:02  India Northeast UCBB 0.1689296
 18  A*03:01-B*57:01-C*06:02-DRB1*15:06-DQB1*05:02  India Northeast UCBB 0.1689296
 19  A*11:01-B*35:01-C*04:01-DRB1*15:06-DQB1*05:02  India Northeast UCBB 0.1689296
 20  A*33:03-B*15:01-C*04:01-DRB1*15:06-DQB1*05:02  India Northeast UCBB 0.1689296
 21  A*68:01-B*27:07-C*15:02-DRB1*15:06-DQB1*05:03  India Northeast UCBB 0.1689296
 22  A*11:01-B*44:03-C*07:01-DRB1*15:06-DQA1*01:02-DQB1*05:02-DPB1*26:01  Sri Lanka Colombo 0.1401714
 23  A*11:01-B*56:01-C*04:01-DRB1*15:06-DQA1*01:02-DQB1*05:02-DPB1*02:01  Sri Lanka Colombo 0.1401714
 24  A*33:03-B*35:01-C*04:01-DRB1*15:06-DQA1*01:02-DQB1*05:02-DPB1*26:01  Sri Lanka Colombo 0.1401714
 25  A*33:03-B*44:03-C*07:01-DRB1*15:06-DQA1*01:02-DQB1*05:02-DPB1*03:01  Sri Lanka Colombo 0.1401714
 26  A*02:01:01-B*56:01:01-C*01:02:01-DRB1*15:06:01-DQB1*05:02:01  India Kerala Malayalam speaking 0.1400356
 27  A*03:01:01-B*18:01:01-C*01:02:01-DRB1*15:06:01-DQB1*05:02:01  India Kerala Malayalam speaking 0.1400356
 28  A*11:01:01-B*35:01:01-C*04:01:01-DRB1*15:06:01-DQB1*05:02:01  India Kerala Malayalam speaking 0.1400356
 29  A*11:01:01-B*52:01:01-C*12:02:02-DRB1*15:06:01-DQB1*05:02:01  India Kerala Malayalam speaking 0.1400356
 30  A*24:02:01-B*40:06:01-C*12:02:02-DRB1*15:06:01-DQB1*05:02:01  India Kerala Malayalam speaking 0.1400356
 31  A*33:03:01-B*27:05:02-C*07:01:01-DRB1*15:06:01-DQB1*05:02:01  India Kerala Malayalam speaking 0.1400356
 32  A*33:03:01-B*58:01:01-C*03:02:01-DRB1*15:06:01-DQB1*05:35  India Kerala Malayalam speaking 0.1400356
 33  A*02:01-B*35:01-C*04:01-DRB1*15:06-DQB1*05:02  India South UCBB 0.115111,446
 34  A*33:03-B*15:01-C*04:01-DRB1*15:06-DQB1*05:02  India North UCBB 0.10905,849
 35  A*11:01-B*35:01-C*04:01-DRB1*15:06-DQB1*05:02  India West UCBB 0.10835,829
 36  A*01:01-B*57:01-C*06:02-DRB1*15:06-DQB1*05:02  India North UCBB 0.10695,849
 37  A*11:01-B*15:01-C*04:01-DRB1*15:06-DQB1*05:02  India West UCBB 0.10695,829
 38  A*24:02-B*40:06-C*15:02-DRB1*15:06-DQB1*05:02  India North UCBB 0.10615,849
 39  A*33:03-B*58:01-C*03:02-DRB1*15:06-DQB1*05:02  India North UCBB 0.10595,849
 40  A*03:01-B*35:01-C*04:01-DRB1*15:06-DQB1*05:02  India North UCBB 0.10095,849
 41  A*24:02-B*35:01-C*04:01-DRB1*15:06-DQB1*05:02  India North UCBB 0.09585,849
 42  A*01:01-B*15:01-C*04:01-DRB1*15:06-DQB1*05:02  India East UCBB 0.09302,403
 43  A*11:01-B*15:01-C*04:01-DRB1*15:06-DQB1*05:02  USA Asian pop 2 0.08901,772
 44  A*03:01-B*35:01-C*04:01-DRB1*15:06-DQB1*05:02  India Central UCBB 0.08424,204
 45  A*33:03-B*58:01-C*03:02-DRB1*15:06-DQB1*05:02  India Central UCBB 0.08384,204
 46  A*01:01-B*57:01-C*06:02-DRB1*15:06-DQB1*05:02  India Central UCBB 0.07914,204
 47  A*01:01-B*57:01-C*06:02-DRB1*15:06-DQB1*05:02  India West UCBB 0.07725,829
 48  A*01:01-B*15:17-C*07:01-DRB1*15:06-DQB1*05:02  India West UCBB 0.07605,829
 49  A*24:02-B*40:06-C*15:02-DRB1*15:06-DQB1*05:02  India Central UCBB 0.07174,204
 50  A*03:01-B*40:01-C*03:04-DRB1*15:06-DQA1*01:02-DQB1*05:02-DPB1*14:01  Sri Lanka Colombo 0.0700714
 51  A*11:01-B*35:03-C*04:01-DRB1*15:06-DQA1*01:02-DQB1*05:02-DPB1*14:01  Sri Lanka Colombo 0.0700714
 52  A*24:02-B*15:01-C*04:01-DRB1*15:06-DQA1*01:02-DQB1*05:02-DPB1*13:01  Sri Lanka Colombo 0.0700714
 53  A*24:02-B*18:01-C*07:01-DRB1*15:06-DQA1*01:02-DQB1*05:02-DPB1*01:01  Sri Lanka Colombo 0.0700714
 54  A*24:02-B*18:01-C*07:01-DRB1*15:06-DQA1*01:02-DQB1*05:02-DPB1*04:02  Sri Lanka Colombo 0.0700714
 55  A*24:02-B*51:01-C*15:02-DRB1*15:06-DQA1*01:01-DQB1*05:01-DPB1*15:01  Sri Lanka Colombo 0.0700714
 56  A*26:01-B*07:05-C*07:02-DRB1*15:06-DQA1*01:02-DQB1*05:02-DPB1*09:01  Sri Lanka Colombo 0.0700714
 57  A*26:01-B*15:01-C*07:02-DRB1*15:06-DQA1*01:02-DQB1*02:01-DPB1*03:01  Sri Lanka Colombo 0.0700714
 58  A*68:01-B*51:01-C*15:15-DRB1*15:06-DQA1*01:02-DQB1*05:02-DPB1*13:01  Sri Lanka Colombo 0.0700714
 59  A*03:01-B*35:01-C*04:01-DRB1*15:06-DQB1*05:02  India East UCBB 0.06242,403
 60  A*33:03-B*40:06-C*15:02-DRB1*15:06-DQB1*05:02  India East UCBB 0.06242,403
 61  A*33:03-B*44:03-C*07:06-DRB1*15:06-DQB1*05:02  India East UCBB 0.06242,403
 62  A*24:02-B*35:01-C*04:01-DRB1*15:06-DQB1*05:02  India West UCBB 0.06105,829
 63  DRB1*15:06-DQA1*01:02-DQB1*05:02-DPA1*02:02-DPB1*05:01  China Zhejiang Han pop 2 0.0600833
 64  A*02:11-B*35:01-C*04:01-DRB1*15:06-DQB1*05:02  India Tamil Nadu 0.05912,492
 65  A*24:02-B*18:01-C*07:01-DRB1*15:06-DQB1*05:02  India Central UCBB 0.05884,204
 66  A*11:01-B*40:06-C*15:02-DRB1*15:06-DQB1*05:02  India Central UCBB 0.05774,204
 67  A*11:01-B*35:01-C*04:01-DRB1*15:06-DQB1*05:02  India South UCBB 0.053311,446
 68  A*02:02-B*27:06-C*03:02-DRB1*15:06-DQB1*03:01  Malaysia Peninsular Malay 0.0526951
 69  A*24:02-B*52:01-C*03:03-DRB1*15:06-DQB1*05:02  Malaysia Peninsular Malay 0.0526951
 70  A*24:07-B*15:12-C*07:01-DRB1*15:06-DQB1*05:02  Malaysia Peninsular Malay 0.0526951
 71  A*11:01-B*51:01-C*14:02-DRB1*15:06-DQB1*05:02  India North UCBB 0.05255,849
 72  A*11:01-B*40:06-C*15:02-DRB1*15:06-DQB1*05:02  India North UCBB 0.05135,849
 73  A*68:01-B*40:06-C*15:02-DRB1*15:06-DQB1*05:02  India Central UCBB 0.04994,204
 74  A*01:01-B*55:01-C*01:02-DRB1*15:06-DQA1*01:02-DQB1*05:02-DPA1*01:03-DPB1*03:01  United Arab Emirates Pop 1 0.0467570
 75  A*01:01-B*55:01-C*01:02-DRB1*15:06-DQA1*01:02-DQB1*05:02-DPA1*01:03-DPB1*04:01  United Arab Emirates Pop 1 0.0467570
 76  A*01:01-B*55:01-C*03:32-DRB1*15:06-DQA1*01:02-DQB1*05:02-DPA1*01:03-DPB1*04:01  United Arab Emirates Pop 1 0.0467570
 77  A*01:01-B*56:01-C*04:03-DRB1*15:06-DQA1*01:03-DQB1*06:01-DPA1*01:03-DPB1*04:02  United Arab Emirates Pop 1 0.0467570
 78  A*02:01-B*56:01-C*01:02-DRB1*15:06-DQA1*01:02-DQB1*05:02-DPA1*02:02-DPB1*13:01  United Arab Emirates Pop 1 0.0467570
 79  A*02:01-B*58:01-C*04:01-DRB1*15:06-DQA1*01:02-DQB1*04:02-DPA1*01:03-DPB1*02:01  United Arab Emirates Pop 1 0.0467570
 80  A*26:01-B*08:01-C*07:02-DRB1*15:06-DQA1*05:01-DQB1*02:01-DPA1*01:03-DPB1*17:01  United Arab Emirates Pop 1 0.0467570
 81  A*33:01-B*35:01-C*06:02-DRB1*15:06-DQA1*01:02-DQB1*03:01-DPA1*01:03-DPB1*04:01  United Arab Emirates Pop 1 0.0467570
 82  A*33:03-B*57:01-C*06:02-DRB1*15:06-DQA1*01:02-DQB1*05:02-DPA1*01:03-DPB1*02:01  United Arab Emirates Pop 1 0.0467570
 83  A*68:01-B*27:05-C*08:01-DRB1*15:06-DQA1*01:02-DQB1*05:02-DPA1*01:03-DPB1*02:01  United Arab Emirates Pop 1 0.0467570
 84  A*68:01-B*35:01-C*04:01-DRB1*15:06-DQA1*01:02-DQB1*05:02-DPA1*03:02-DPB1*04:02  United Arab Emirates Pop 1 0.0467570
 85  A*68:01-B*51:01-C*15:02-DRB1*15:06-DQA1*01:02-DQB1*05:02-DPA1*01:03-DPB1*04:01  United Arab Emirates Pop 1 0.0467570
 86  A*03:02-B*35:03-C*04:01-DRB1*15:06-DQB1*05:02  India North UCBB 0.04435,849
 87  A*02:01-B*18:01-C*07:01-DRB1*15:06-DQB1*05:02  USA Asian pop 2 0.04401,772
 88  A*02:06-B*57:01-C*06:02-DRB1*15:06-DQB1*05:02  USA Asian pop 2 0.04401,772
 89  A*03:02-B*35:03-C*04:01-DRB1*15:06-DQB1*05:02  USA Asian pop 2 0.04401,772
 90  A*11:01-B*18:01-C*07:01-DRB1*15:06-DQB1*05:02  USA Asian pop 2 0.04401,772
 91  A*33:01-B*44:03-C*07:01-DRB1*15:06-DQB1*05:02  USA Asian pop 2 0.04401,772
 92  A*68:01-B*07:02-C*07:02-DRB1*15:06-DQB1*05:02  USA Asian pop 2 0.04401,772
 93  A*03:01-B*35:01-C*04:01-DRB1*15:06-DQB1*05:02  India South UCBB 0.043111,446
 94  A*26:01-B*55:01-C*01:02-DRB1*15:06-DQB1*05:02  India East UCBB 0.04162,403
 95  A*31:01-B*40:06-C*15:02-DRB1*15:06-DQB1*05:02  India East UCBB 0.04162,403
 96  A*24:02-B*35:01-C*04:01-DRB1*15:06-DQB1*05:02  India Central UCBB 0.04044,204
 97  A*11:01-B*35:03-C*12:03-DRB1*15:06-DQB1*05:02  India Tamil Nadu 0.04012,492
 98  A*33:03-B*15:01-C*04:01-DRB1*15:06-DQB1*05:02  India Tamil Nadu 0.04012,492
 99  A*11:01-B*40:06-C*15:02-DRB1*15:06-DQB1*05:02  India South UCBB 0.039511,446
 100  A*03:01-B*15:01-C*04:01-DRB1*15:06-DQB1*05:02  India Central UCBB 0.03934,204

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 495) records   Pages: 1 2 3 4 5 of 5  


   

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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