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 100 (from 160) records   Pages: 1 2 of 2  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*02:13-B*39:05-C*07:02-DRB1*04:11-DQA1*03:01:01-DQB1*03:02-DPA1*01-DPB1*14:01  Venezuela Sierra de Perija Yucpa 1.200073
 2  A*02:13-G*01:01  Ecuador Amerindians 0.793763
 3  A*02:13-B*51:01-C*15:02-DRB1*04:04-DQB1*03:02  Colombia Bogotá Cord Blood 0.67411,463
 4  A*02:131-B*40:06:01-C*15:02:01-DRB1*15:01:01-DQB1*06:01:01  India Karnataka Kannada Speaking 0.2870174
 5  A*02:13-B*51:01-C*15:02-DRB1*04:07-DQB1*03:02  Colombia Bogotá Cord Blood 0.27381,463
 6  A*02:131-B*27:05:02-C*02:02:02-DRB1*04:04:01-DQB1*03:02:01  India Andhra Pradesh Telugu Speaking 0.2688186
 7  A*02:13-B*40:02-C*01:02-DRB1*04:05-DQB1*03:02-DPB1*14:01  Panama 0.1900462
 8  A*02:13-B*40:02-C*03:04-DRB1*08:02-DQB1*04:02  Colombia Bogotá Cord Blood 0.14651,463
 9  A*02:131-B*51:01:05-C*14:02:01-DRB1*15:02:02-DQB1*06:01:01  India Kerala Malayalam speaking 0.1400356
 10  A*02:13-B*44:02:01-C*05:01:01  England Blood Donors of Mixed Ethnicity 0.0963519
 11  A*02:13-B*51:01-C*15:02-DRB1*04:04-DQB1*03:02  USA Hispanic pop 2 0.09401,999
 12  A*02:13-B*51:01-C*15:02-DRB1*08:02-DQB1*04:02  Colombia Bogotá Cord Blood 0.07721,463
 13  A*02:131-B*07:06-C*07:02-DRB1*15:01-DQB1*06:01  India South UCBB 0.069211,446
 14  A*02:13-B*35:12-C*04:01-DRB1*16:02-DQB1*03:01  Colombia Bogotá Cord Blood 0.06841,463
 15  A*02:13-B*40:02-C*04:01-DRB1*03:02-DQB1*03:01  Colombia Bogotá Cord Blood 0.06841,463
 16  A*02:13-B*51:01-C*15:02-DRB1*13:03-DQB1*03:01  Colombia Bogotá Cord Blood 0.06841,463
 17  A*02:13-B*40:02-C*03:04-DRB1*04:04-DQB1*03:02  Colombia Bogotá Cord Blood 0.05621,463
 18  A*02:13-B*51:01  USA Hispanic pop 2 0.05401,999
 19  A*02:131-B*40:06-C*15:02-DRB1*15:01-DQB1*06:01  India South UCBB 0.047411,446
 20  A*02:13-B*51:01-C*15:02-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.04701,999
 21  A*02:131-B*07:06-C*07:02-DRB1*15:01-DQB1*06:01  India West UCBB 0.04515,829
 22  A*02:13-B*35:43-C*01:02-DRB1*08:02-DQB1*04:02  Colombia Bogotá Cord Blood 0.03661,463
 23  A*02:131-B*07:06-C*07:02-DRB1*15:01-DQB1*06:01  India Central UCBB 0.03574,204
 24  A*02:13-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  Colombia Bogotá Cord Blood 0.03441,463
 25  A*02:13-B*15:01-C*01:02-DRB1*04:07-DQB1*03:02  Colombia Bogotá Cord Blood 0.03421,463
 26  A*02:13-B*18:01-C*12:03-DRB1*03:01-DQB1*02:01  Colombia Bogotá Cord Blood 0.03421,463
 27  A*02:13-B*35:43-C*01:02-DRB1*14:02-DQB1*03:01  Colombia Bogotá Cord Blood 0.03421,463
 28  A*02:13-B*35:43-C*04:01-DRB1*04:11-DQB1*03:02  Colombia Bogotá Cord Blood 0.03421,463
 29  A*02:13-B*39:01-C*07:02-DRB1*14:02-DQB1*03:01  Colombia Bogotá Cord Blood 0.03421,463
 30  A*02:13-B*40:02-C*03:04-DRB1*14:02-DQB1*03:01  Colombia Bogotá Cord Blood 0.03421,463
 31  A*02:13-B*40:02-C*03:05-DRB1*04:07-DQB1*03:02  Colombia Bogotá Cord Blood 0.03421,463
 32  A*02:13-B*40:11-C*03:04-DRB1*08:02-DQB1*04:02  Colombia Bogotá Cord Blood 0.03421,463
 33  A*02:13-B*41:02-C*03:04-DRB1*13:02-DQB1*06:09  Colombia Bogotá Cord Blood 0.03421,463
 34  A*02:13-B*44:02-C*05:01-DRB1*15:01-DQB1*06:02  Colombia Bogotá Cord Blood 0.03421,463
 35  A*02:13-B*48:01-C*08:01-DRB1*14:02-DQB1*03:01  Colombia Bogotá Cord Blood 0.03421,463
 36  A*02:13-B*51:01-C*15:02-DRB1*01:01-DQB1*05:01  Colombia Bogotá Cord Blood 0.03421,463
 37  A*02:13-B*51:01-C*15:02-DRB1*14:01-DQB1*05:03  Colombia Bogotá Cord Blood 0.03421,463
 38  A*02:13-B*51:01-C*15:02-DRB1*16:02-DQB1*03:01  Colombia Bogotá Cord Blood 0.03421,463
 39  A*02:13-B*35:01-C*04:01-DRB1*04:11-DQB1*03:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 40  A*02:131-B*35:03-C*04:01-DRB1*15:02-DQB1*06:01  India Central UCBB 0.02384,204
 41  A*02:13-B*15:17  USA Hispanic pop 2 0.02101,999
 42  A*02:13-B*51:01  USA African American pop 4 0.02102,411
 43  A*02:131-B*27:05-C*02:02-DRB1*15:02-DQB1*06:01  India East UCBB 0.02082,403
 44  A*02:131-B*44:03-C*07:06-DRB1*07:01-DQB1*02:02  India East UCBB 0.02082,403
 45  A*02:131-B*51:06-C*14:02-DRB1*15:01-DQB1*06:01  India East UCBB 0.02082,403
 46  A*02:131-B*44:03-C*07:06-DRB1*07:01-DQB1*02:02  India South UCBB 0.020711,446
 47  A*02:131-B*51:06-C*14:02-DRB1*15:01-DQB1*06:01  India South UCBB 0.019311,446
 48  A*02:131-B*13:01-C*15:02-DRB1*15:02-DQB1*06:01  India West UCBB 0.01835,829
 49  A*02:131-B*51:06-C*14:02-DRB1*03:01-DQB1*02:01  India West UCBB 0.01725,829
 50  A*02:131-B*07:06-C*07:02-DRB1*15:01-DQB1*06:01  India North UCBB 0.01715,849
 51  A*02:131-B*40:06-C*15:02-DRB1*11:01-DQB1*03:01  India West UCBB 0.01445,829
 52  A*02:131-B*07:06-C*07:02-DRB1*11:01-DQB1*03:01  India South UCBB 0.013711,446
 53  A*02:131-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  India South UCBB 0.013111,446
 54  A*02:131-B*40:01-C*12:03-DRB1*14:04-DQB1*05:03  India South UCBB 0.013111,446
 55  A*02:131-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  India Central UCBB 0.01194,204
 56  A*02:131-B*13:01-C*03:04-DRB1*07:01-DQB1*02:02  India Central UCBB 0.01194,204
 57  A*02:131-B*13:01-C*15:02-DRB1*15:02-DQB1*06:01  India Central UCBB 0.01194,204
 58  A*02:131-B*35:01-C*03:03-DRB1*08:01-DQB1*04:02  India Central UCBB 0.01194,204
 59  A*02:131-B*35:01-C*04:01-DRB1*16:02-DQB1*05:02  India Central UCBB 0.01194,204
 60  A*02:13-B*38:01-C*12:03-DRB1*04:04-DQB1*03:02  USA African American pop 4 0.01102,411
 61  A*02:13-B*38:01-C*12:03-DRB1*11:04-DQB1*03:01  USA African American pop 4 0.01102,411
 62  A*02:13-B*51:01-C*15:02-DRB1*04:04-DQB1*03:02  USA African American pop 4 0.01102,411
 63  A*02:13-B*51:01-C*15:02-DRB1*11:04-DQB1*03:01  USA African American pop 4 0.01102,411
 64  A*02:131-B*08:01-C*15:02-DRB1*03:01-DQB1*02:01  India South UCBB 0.009211,446
 65  A*02:131-B*40:06-C*15:02-DRB1*14:04-DQB1*05:03  India South UCBB 0.008911,446
 66  A*02:131-B*07:06-C*07:02-DRB1*04:10-DQB1*04:02  India South UCBB 0.008711,446
 67  A*02:131-B*40:06-C*14:02-DRB1*08:03-DQB1*03:01  India South UCBB 0.008711,446
 68  A*02:131-B*40:06-C*14:02-DRB1*11:01-DQB1*03:01  India South UCBB 0.008711,446
 69  A*02:131-B*51:01-C*16:02-DRB1*04:03-DQB1*03:02  India South UCBB 0.008711,446
 70  A*02:131-B*51:06-C*14:02-DRB1*04:01-DQB1*03:02  India South UCBB 0.008711,446
 71  A*02:131-B*58:01-C*03:02-DRB1*03:01-DQB1*02:01  India South UCBB 0.008711,446
 72  A*02:131-B*07:06-C*15:02-DRB1*15:02-DQB1*03:02  India West UCBB 0.00865,829
 73  A*02:131-B*13:01-C*15:02-DRB1*04:08-DQB1*03:01  India West UCBB 0.00865,829
 74  A*02:131-B*15:01-C*03:03-DRB1*14:04-DQB1*05:03  India West UCBB 0.00865,829
 75  A*02:131-B*15:05-C*03:03-DRB1*15:01-DQB1*06:01  India West UCBB 0.00865,829
 76  A*02:131-B*15:113-C*03:03-DRB1*13:01-DQB1*06:03  India West UCBB 0.00865,829
 77  A*02:131-B*15:25-C*04:03-DRB1*12:02-DQB1*03:01  India West UCBB 0.00865,829
 78  A*02:131-B*18:01-C*12:03-DRB1*14:54-DQB1*05:03  India West UCBB 0.00865,829
 79  A*02:131-B*35:03-C*04:01-DRB1*04:10-DQB1*04:02  India West UCBB 0.00865,829
 80  A*02:131-B*40:01-C*03:04-DRB1*10:01-DQB1*05:01  India West UCBB 0.00865,829
 81  A*02:131-B*40:01-C*03:04-DRB1*15:02-DQB1*05:02  India West UCBB 0.00865,829
 82  A*02:131-B*40:01-C*07:02-DRB1*13:01-DQB1*06:03  India West UCBB 0.00865,829
 83  A*02:131-B*40:06-C*14:02-DRB1*15:01-DQB1*05:02  India West UCBB 0.00865,829
 84  A*02:131-B*51:01-C*14:02-DRB1*13:01-DQB1*06:03  India West UCBB 0.00865,829
 85  A*02:131-B*51:01-C*14:02-DRB1*14:04-DQB1*05:03  India West UCBB 0.00865,829
 86  A*02:131-B*51:06-C*14:02-DRB1*11:06-DQB1*03:01  India West UCBB 0.00865,829
 87  A*02:131-B*55:01-C*01:02-DRB1*13:01-DQB1*06:03  India West UCBB 0.00865,829
 88  A*02:131-B*15:17-C*07:01-DRB1*11:01-DQB1*03:01  India North UCBB 0.00855,849
 89  A*02:131-B*27:05-C*02:02-DRB1*11:01-DQB1*03:01  India North UCBB 0.00855,849
 90  A*02:131-B*40:01-C*03:04-DRB1*15:01-DQB1*06:01  India South UCBB 0.008511,446
 91  A*02:131-B*44:03-C*07:06-DRB1*13:01-DQB1*06:03  India North UCBB 0.00855,849
 92  A*02:131-B*51:01-C*07:02-DRB1*15:01-DQB1*06:01  India North UCBB 0.00855,849
 93  A*02:131-B*51:01-C*16:02-DRB1*04:03-DQB1*03:02  India North UCBB 0.00855,849
 94  A*02:131-B*52:01-C*12:02-DRB1*14:54-DQB1*05:02  India North UCBB 0.00855,849
 95  A*02:131-B*57:01-C*06:02-DRB1*07:01-DQB1*02:02  India North UCBB 0.00855,849
 96  A*02:131-B*15:18-C*07:04-DRB1*04:03-DQB1*03:02  India South UCBB 0.008311,446
 97  A*02:131-B*51:06-C*14:02-DRB1*15:02-DQB1*06:01  India South UCBB 0.008211,446
 98  A*02:131-B*13:01-C*15:02-DRB1*04:02-DQB1*03:02  India West UCBB 0.00745,829
 99  A*02:13-B*38:02-DRB1*15:02  Hong Kong Chinese cord blood registry 0.00733,892
 100  A*02:131-B*40:06-C*15:07-DRB1*04:03-DQB1*03:02  India South UCBB 0.006911,446

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 160) 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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