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 53 (from 53) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*01:01-B*39:01-C*12:03-DRB1*15:02-DQB1*06:01  India South UCBB 0.012911,446
 2  A*01:01-B*39:01-C*12:04-DRB1*15:02-DQB1*05:01  India Tamil Nadu 0.00000002,492
 3  A*01:01-B*39:01-C*12:04-DRB1*15:02-DQB1*05:02  India Tamil Nadu 0.00000002,492
 4  A*01:01-B*39:01-C*12:04-DRB1*15:02-DQB1*05:03  India Tamil Nadu 0.00432,492
 5  A*01:01-B*39:01-DRB1*15:02  Israel Argentina Jews 0.02904,307
 6  A*01:01-B*39:01-DRB1*15:02  Israel USSR Jews 0.003445,681
 7  A*01:01-B*39:01-DRB1*15:02  Israel Tunisia Jews 0.00609,070
 8  A*02:01:01:01-B*39:01:01:03-C*12:02:02-DRB1*15:02-DQB1*06:03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 9  A*02:01:01-B*39:01:01-C*12:03:01-DRB1*15:02:01-DQB1*06:01:01-DPA1*01:03:01-DPB1*01:01:01  Brazil Rio de Janeiro Parda 0.5882170
 10  A*02:01:01-B*39:01:01-C*12:03:01-DRB1*15:02:01-DQB1*06:01:01-DPA1*02:07:01-DPB1*104:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 11  A*02:01-B*39:01-C*07:02-DRB1*15:02  Japan pop 16 0.010018,604
 12  A*02:01-B*39:01-C*07:02-DRB1*15:02-DQB1*06:01  India North UCBB 0.00855,849
 13  A*02:01-B*39:01-C*12:03-DRB1*15:02  Italy pop 5 0.1000975
 14  A*02:01-B*39:01-DRB1*15:02  Israel USSR Jews 0.015145,681
 15  A*02:02-B*39:01-DRB1*15:02  Israel Tunisia Jews 0.00559,070
 16  A*02:03:01-B*39:01:01-C*07:02:01-DRB1*15:02:01-DPB1*03:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.01905,266
 17  A*02:03-B*39:01-C*07:02-DRB1*15:02-DQB1*05:01  India South UCBB 0.004411,446
 18  A*02:03-B*39:01-C*07:02-DRB1*15:02-DQB1*06:01  India South UCBB 0.008711,446
 19  A*02:06-B*39:01-C*07:02-DRB1*15:02  Japan pop 16 0.010018,604
 20  A*02:06-B*39:01-C*12:03-DRB1*15:02-DQB1*06:01  India West UCBB 0.00865,829
 21  A*02:20-B*39:01-C*12:04-DRB1*15:02-DQB1*05:03  India North UCBB 0.00855,849
 22  A*03:01-B*39:01-DRB1*15:02  Israel Arab pop 2 0.002512,301
 23  A*03:01-B*39:01-DRB1*15:02-DQB1*06:02  Mexico Mexico City Tlalpan 0.1515330
 24  A*11:01:01-B*39:01:01-C*07:02:01-DRB1*15:02:01-DPB1*14:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00895,266
 25  A*11:01-B*39:01-C*03:02-DRB1*15:02-DQB1*05:02  Malaysia Peninsular Malay 0.0526951
 26  A*11:01-B*39:01-C*07:02-DRB1*15:02  Japan pop 16 0.016018,604
 27  A*11:01-B*39:01-C*12:04-DRB1*15:02-DQB1*05:02  Malaysia Peninsular Malay 0.0526951
 28  A*11:01-B*39:01-DRB1*15:02  Israel Arab pop 2 0.002012,301
 29  A*24:02-B*39:01-C*04:16-DRB1*15:02-DQB1*06:01  Malaysia Peninsular Malay 0.0526951
 30  A*24:02-B*39:01-C*07:02-DRB1*15:02-DQB1*06:01  India East UCBB 0.04162,403
 31  A*24:03-B*39:01-C*06:02-DRB1*15:02  Italy pop 5 0.1000975
 32  A*24:03-B*39:01-C*12:04-DRB1*15:02-DQB1*05:03  India Tamil Nadu 0.04012,492
 33  A*24:04-B*39:01-DRB1*15:02  Israel USSR Jews 0.001145,681
 34  A*24:07-B*39:01-C*07:01-DRB1*15:02-DQB1*06:01  Malaysia Peninsular Indian 0.1845271
 35  A*24:33-B*39:01-C*12:04-DRB1*15:02-DQB1*05:03  India West UCBB 0.00865,829
 36  A*24:33-B*39:01-C*12:04-DRB1*15:02-DQB1*05:03  India South UCBB 0.021811,446
 37  A*24:33-B*39:01-C*12:04-DRB1*15:02-DQB1*05:03  India Central UCBB 0.01194,204
 38  A*24:33-B*39:01-C*12:04-DRB1*15:02-DQB1*05:03  India East UCBB 0.06242,403
 39  A*26:01:01-B*39:01:01-C*07:02:01-DRB1*15:02:01-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.00555,266
 40  A*26:01-B*39:01-C*07:02-DRB1*15:02  Germany DKMS - France minority 0.03601,406
 41  A*26:01-B*39:01-C*12:03-DRB1*15:02-DQB1*06:01  India East UCBB 0.02082,403
 42  A*26:03-B*39:01-C*03:03-DRB1*15:02  Japan pop 16 0.010018,604
 43  A*26:03-B*39:01-C*03:03-DRB1*15:02-DQA1*01:03-DQB1*06:01-DPA1*02:01-DPB1*09:01  Japan pop 17 0.03003,078
 44  A*31:01-B*39:01-C*12:03-DRB1*15:02-DQB1*06:01  India Tamil Nadu 0.00672,492
 45  A*31:01-B*39:01-C*12:03-DRB1*15:02-DQB1*06:01  India West UCBB 0.00865,829
 46  A*32:01:01-B*39:01:24-C*12:02:02-DRB1*15:02-DQA1*01:03:01-DQB1*03:01-DPA1*01:03:01-DPB1*17:01:01  Russian Federation Vologda Region 0.4202119
 47  A*32:01-B*39:01-C*03:03-DRB1*15:02-DQB1*06:01  India West UCBB 0.00865,829
 48  A*32:01-B*39:01-C*03:03-DRB1*15:02-DQB1*06:01  India South UCBB 0.004411,446
 49  A*32:01-B*39:01-C*12:03-DRB1*15:02  Poland DKMS 0.001120,653
 50  A*33:03:01-B*39:01:01-C*07:02:01-DRB1*15:02:01-DPB1*13:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00935,266
 51  A*33:03-B*39:01-C*07:02-DRB1*15:02  Japan pop 16 0.005018,604
 52  A*68:02-B*39:01-DRB1*15:02  Israel Argentina Jews 0.00584,307
 53  B*39:01-DRB1*15:02  Italy pop 5 0.0500975

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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