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 : 
Region:  Ethnic Origin:     Type of study :  Sort by: 
Sample Size:      Sample Year:     Loci Tested: 
Displaying 1 to 87 (from 87) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*02:17-B*15:29-DRB1*15:01  Israel Iran Jews 0.94008,153
 2  A*32:01-B*15:29-C*07:04-DRB1*16:02-DQB1*05:02  India North UCBB 0.20505,849
 3  A*02-B*15:29-DRB1*10-DQB1*05  Mexico Zacatecas Rural 0.1859266
 4  A*02:01-B*15:29-DRB1*15:01  Israel Iran Jews 0.18508,153
 5  A*32:01-B*15:29-C*07:04-DRB1*15:02-DQB1*06:01  India North UCBB 0.16265,849
 6  A*01-B*15:29-DRB1*14-DQB1*06  Mexico Michoacan Rural 0.1433348
 7  A*02-B*15:29-DRB1*13-DQB1*05  Mexico Michoacan Rural 0.1433348
 8  A*32:01-B*15:29-C*07:04-DRB1*16:02-DQB1*05:02  India West UCBB 0.11985,829
 9  B*15:29-C*07:04  USA Asian pop 2 0.11401,772
 10  A*02:17-B*15:29-DRB1*11:04  Israel Iran Jews 0.10608,153
 11  A*32:01-B*15:29-C*07:04-DRB1*15:02-DQB1*06:01  India Central UCBB 0.08514,204
 12  A*32:01-B*15:29  USA Asian pop 2 0.08501,772
 13  A*32:01-B*15:29-C*07:04-DRB1*16:02-DQB1*05:02  India Central UCBB 0.08324,204
 14  A*32:01-B*15:29-DRB1*15:01  Israel Arab pop 2 0.077212,301
 15  A*30-B*15:29-DRB1*13-DQB1*06  Ecuador Andes Mixed Ancestry 0.0607824
 16  A*11:01-B*15:29-C*07:04-DRB1*08:03-DQB1*03:01  Malaysia Peninsular Malay 0.0526951
 17  A*29:01-B*15:29-C*07:04-DRB1*15:01-DQB1*06:02  USA Asian pop 2 0.04401,772
 18  A*32:01-B*15:29-C*07:04-DRB1*16:02-DQB1*05:02  USA Asian pop 2 0.04401,772
 19  A*32:01-B*15:29-C*07:04-DRB1*15:02-DQB1*06:01  India West UCBB 0.04295,829
 20  A*30-B*15:29-DRB1*13-DQB1*06  Ecuador Mixed Ancestry 0.04261,173
 21  A*02-B*15:29-DRB1*09-DQB1*02  Mexico Jalisco, Guadalajara city 0.04191,189
 22  A*32:01-B*15:29-C*07:04-DRB1*11:04-DQB1*03:01  India North UCBB 0.04045,849
 23  A*02:01-B*15:29-DRB1*15:01  Israel Iraq Jews 0.039813,270
 24  A*11:01-B*15:29-DRB1*04:05  Israel Iran Jews 0.03638,153
 25  A*32:01-B*15:29-C*07:04-DRB1*07:01-DQB1*03:03  India North UCBB 0.03355,849
 26  A*29:01:01-B*15:29:01-C*07:04:01-DRB1*15:01:01-DQB1*06:02:01  China Zhejiang Han 0.02881,734
 27  A*29:01-B*15:29  USA Asian pop 2 0.02801,772
 28  A*02:17-B*15:29-DRB1*15:01  Israel Iraq Jews 0.023913,270
 29  A*32:01-B*15:29-C*07:04-DRB1*11:04-DQB1*03:01  India Central UCBB 0.02384,204
 30  A*32:01-B*15:29-C*07:04-DRB1*03:01-DQB1*02:01  India Central UCBB 0.02204,204
 31  A*01:01-B*15:29-DRB1*15:01  Israel Iran Jews 0.02148,153
 32  A*32:01-B*15:29-C*07:04-DRB1*15:01-DQB1*06:02  Germany DKMS - Turkey minority 0.01904,856
 33  A*02:05-B*15:29-C*07:04-DRB1*16:02-DQB1*05:02  India West UCBB 0.01725,829
 34  A*32:01-B*15:29-C*07:04-DRB1*13:01-DQB1*06:03  India West UCBB 0.01725,829
 35  A*32:01-B*15:29-C*07:04-DRB1*07:01-DQB1*02:02  India North UCBB 0.01715,849
 36  A*11:01-B*15:29-DRB1*11:04  Israel Iran Jews 0.01208,153
 37  A*26:01-B*15:29-C*07:04-DRB1*15:02-DQB1*06:01  India Central UCBB 0.01194,204
 38  A*26:01-B*15:29-C*07:04-DRB1*16:02-DQB1*05:02  India Central UCBB 0.01194,204
 39  A*32:01-B*15:29-C*07:04-DRB1*07:01-DQB1*03:03  India Central UCBB 0.01194,204
 40  A*33:03-B*15:29-C*07:04-DRB1*15:06-DQB1*05:02  India Central UCBB 0.01194,204
 41  A*03:01-B*15:29-DRB1*15:01  Israel Argentina Jews 0.01164,307
 42  A*32:01-B*15:29-C*07:04-DRB1*15:06-DQB1*05:02  India North UCBB 0.01145,849
 43  A*11:01-B*15:29-C*07:04-DRB1*15:01-DQB1*06:02  Germany DKMS - Turkey minority 0.01104,856
 44  A*01:01-B*15:29-C*07:04-DRB1*15:01-DQB1*06:02  Germany DKMS - Turkey minority 0.01004,856
 45  A*32:01-B*15:29-C*07:04-DRB1*14:04-DQB1*05:03  India North UCBB 0.00905,849
 46  A*32:01-B*15:29-C*07:04-DRB1*03:01-DQB1*02:01  India West UCBB 0.00895,829
 47  A*02:01-B*15:29-DRB1*15:01  Israel Kavkazi Jews 0.00882,840
 48  A*02:01-B*15:29-DRB1*15:02  Israel Kavkazi Jews 0.00882,840
 49  A*24:02-B*15:29-DRB1*04:02  Israel Kavkazi Jews 0.00882,840
 50  A*24:02-B*15:29-DRB1*15:01  Israel Kavkazi Jews 0.00882,840
 51  A*32:01-B*15:29-C*07:04-DRB1*13:02-DQB1*06:09  India North UCBB 0.00875,849
 52  A*32:01-B*15:29-C*07:04-DRB1*16:02-DQB1*05:02  India South UCBB 0.008711,446
 53  A*11:01-B*15:29-C*07:04-DRB1*03:01-DQB1*02:01  India West UCBB 0.00865,829
 54  A*26:01-B*15:29-C*07:04-DRB1*14:04-DQB1*05:03  India North UCBB 0.00865,849
 55  A*32:01-B*15:29-C*07:04-DRB1*03:01-DQB1*02:01  India North UCBB 0.00865,849
 56  A*32:01-B*15:29-C*07:04-DRB1*07:01-DQB1*03:02  India West UCBB 0.00865,829
 57  A*32:01-B*15:29-C*07:04-DRB1*07:01-DQB1*03:03  India West UCBB 0.00865,829
 58  A*32:01-B*15:29-C*07:04-DRB1*11:04-DQB1*03:01  India West UCBB 0.00865,829
 59  A*32:01-B*15:29-C*07:04-DRB1*14:04-DQB1*05:03  India West UCBB 0.00865,829
 60  A*68:01-B*15:29-C*07:04-DRB1*16:02-DQB1*05:02  India West UCBB 0.00865,829
 61  A*01:01-B*15:29-C*07:04-DRB1*15:02-DQB1*06:01  India North UCBB 0.00855,849
 62  A*02:06-B*15:29-C*07:04-DRB1*16:02-DQB1*05:02  India North UCBB 0.00855,849
 63  A*26:01-B*15:29-C*07:04-DRB1*13:02-DQB1*06:09  India North UCBB 0.00855,849
 64  A*29:01-B*15:29-C*07:04-DRB1*15:02-DQB1*06:01  India North UCBB 0.00855,849
 65  A*32:01-B*15:29-C*07:04-DRB1*03:01-DQB1*05:02  India North UCBB 0.00855,849
 66  A*32:01-B*15:29-C*07:04-DRB1*12:01-DQB1*03:01  India North UCBB 0.00855,849
 67  A*32:01-B*15:29-C*07:04-DRB1*14:54-DQB1*05:03  India North UCBB 0.00855,849
 68  A*33:03-B*15:29-C*07:04-DRB1*16:02-DQB1*05:02  India North UCBB 0.00855,849
 69  A*24:07-B*15:29-DRB1*15:01  Israel Iran Jews 0.00848,153
 70  A*32:01-B*15:29-C*07:04-DRB1*04:04-DQB1*03:02  India North UCBB 0.00805,849
 71  A*32:01-B*15:29-DRB1*04:03  Israel Arab pop 2 0.006112,301
 72  A*32:01-B*15:29-DRB1*07:01  Israel Arab pop 2 0.006112,301
 73  A*02:01-B*15:29-DRB1*15:01  Israel Tunisia Jews 0.00559,070
 74  A*01:01:01-B*15:29-C*07:04:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.005023,595
 75  A*11:01-B*15:29-C*07:04-DRB1*07:01-DQB1*02:02  India South UCBB 0.004411,446
 76  A*32:01-B*15:29-C*07:04-DRB1*15:02-DQB1*06:01  India South UCBB 0.004411,446
 77  A*33:03-B*15:29-C*07:04-DRB1*15:01-DQB1*06:02  India South UCBB 0.004411,446
 78  A*24:04-B*15:29-DRB1*15:01  Israel Iraq Jews 0.004113,270
 79  A*30:04-B*15:29-DRB1*15:01  Israel Arab pop 2 0.004112,301
 80  A*32:01-B*15:29-DRB1*01:01  Israel Arab pop 2 0.004112,301
 81  A*02:17-B*15:29-DRB1*15:03  Israel Iraq Jews 0.003813,270
 82  A*02:01-B*15:29-DRB1*15:01  Israel Poland Jews 0.003613,871
 83  A*02:17-B*15:29-DRB1*16:01  Israel Iran Jews 0.00318,153
 84  A*01:01-B*15:29-C*07:04-DRB1*15:01  Poland DKMS 0.002420,653
 85  A*01:17-B*15:29-DRB1*15:01  Israel YemenJews 0.001615,542
 86  A*01:36-B*15:29-DRB1*15:01  Israel YemenJews 0.001615,542
 87  A*01:01:01-B*15:29-C*07:04:01-DRB1*12:01:01-DQB1*03:01:01  Poland BMR 0.001423,595

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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