Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

Please specify your search by selecting options from boxes. Then, click "Search" to find HLA Haplotype frequencies that match your criteria. Remember at least one option must be selected.
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 72 (from 72) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*68:01-B*51:06-DRB1*13:01-DQB1*06:02  Iran Yazd 0.892956
 2  A*68:01:02-B*51:01:01-C*12:03:01-DRB1*13:02:01-DQB1*06:09:01-DPA1*01:03:01-DPB1*03:01:01  Brazil Rio de Janeiro Parda 0.5882170
 3  A*68:01-B*51:01-DRB1*13:01-DQB1*06:02  Iran Tabriz Azeris 0.515597
 4  A*68:01-B*51:01-C*15:02-E*01:01:01-F*01:01:02-G*01:01-DRB1*13:01-DQA1*01:03-DQB1*06:03  Portugal Azores Terceira Island 0.4386130
 5  A*68:01-B*51:01-C*05:01-DRB1*13:01-DQA1*01:03-DQB1*06:03  Kosovo 0.4030124
 6  A*68:01-B*51:01-C*12:03-DRB1*13:02-DQA1*01:02-DQB1*06:04  Kosovo 0.4030124
 7  A*68:01:02-B*51:01:01-C*16:02:01-DRB1*13:01:01-DQB1*06:03:01  India Andhra Pradesh Telugu Speaking 0.2688186
 8  A*68:01-B*51:01-C*15:02-DRB1*13:02:01-DQB1*06:04  England North West 0.2000298
 9  A*68:01:01-B*51:75-C*15:02:01-DRB1*13:01:01-DQB1*06:03:01-DPA1*02:02:02-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 10  A*68:01-B*51:01-C*16:02-DRB1*13:01-DQB1*06:03  India North UCBB 0.14215,849
 11  A*68:01-B*51:01-C*15:02-DRB1*13:01-DQB1*06:03  India North UCBB 0.11365,849
 12  A*68:01-B*51:01-C*16:02-DRB1*13:01-DQB1*06:03  India East UCBB 0.10402,403
 13  A*68:01-B*51:01-C*16:02-DRB1*13:01-DQB1*06:03  India West UCBB 0.09385,829
 14  A*68:01-B*51:01-C*16:02-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPA1*01:03-DPB1*02:01  United Arab Emirates Pop 1 0.0935570
 15  A*68:01-B*51:01-C*15:02-DRB1*13:01-DQB1*06:03  Germany DKMS - Italy minority 0.08601,159
 16  A*68:01-B*51:01-C*16:02-DRB1*13:01-DQB1*06:110  India North UCBB 0.08505,849
 17  A*68:01:02-B*51:01:01-C*15:02:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.082023,595
 18  A*68:01-B*51:01-C*16:02-DRB1*13:01-DQB1*06:03  India Central UCBB 0.08164,204
 19  A*68:01-B*51:01-C*16:02-DRB1*13:01-DQB1*06:03  India South UCBB 0.073611,446
 20  A*68:01-B*51:01-C*15:02-DRB1*13:01-DQB1*06:03  India Tamil Nadu 0.07312,492
 21  A*68:01-B*51:01-C*15:02-DRB1*13:01-DQB1*06:03-DPB1*02:01  Russia Karelia 0.07121,075
 22  A*68:01-B*51:01-C*14:02-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*09:01  Sri Lanka Colombo 0.0700714
 23  A*68:01-B*51:01-C*16:02-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*26:01  Sri Lanka Colombo 0.0700714
 24  A*68:01-B*51:01-C*16:02-DRB1*13:01-DQA1*01:03-DQB1*06:110-DPB1*04:01  Sri Lanka Colombo 0.0700714
 25  A*68:01-B*51:01-C*16:02-DRB1*13:01-DQB1*06:03  Colombia Bogotá Cord Blood 0.06841,463
 26  A*68:01:02:02-B*51:01:01-C*15:02:01:01-DRB1*13:01:01-DQB1*06:03:01  Russia Nizhny Novgorod, Russians 0.06621,510
 27  A*68:01-B*51:01-C*16:02-DRB1*13:01-DQB1*06:110  India West UCBB 0.06505,829
 28  A*68:01-B*51:01-C*16:02-DRB1*13:01-DQB1*06:03  India Tamil Nadu 0.05982,492
 29  A*68:01-B*51:01-C*16:02-DRB1*13:01-DQB1*06:110  India Central UCBB 0.05954,204
 30  A*68:01-B*51:01-C*14:02-DRB1*13:01-DQB1*06:03  India North UCBB 0.05895,849
 31  A*68:01-B*51:01-C*15:02-DRB1*13:01-DQB1*06:03  India West UCBB 0.04945,829
 32  A*68:01-B*51:01-C*14:02-DRB1*13:01-DQB1*06:03  India South UCBB 0.047611,446
 33  A*68:01-B*51:01-C*05:01-DRB1*13:01-DQB1*06:03  USA African American pop 4 0.04402,411
 34  A*68:01-B*51:06-C*15:02-DRB1*13:01-DQB1*06:03  USA Asian pop 2 0.04401,772
 35  A*68:01-B*51:01-C*14:02-DRB1*13:01-DQB1*06:03  India West UCBB 0.04235,829
 36  A*68:01-B*51:01-C*15:02-DRB1*13:01-DQB1*06:03  India Central UCBB 0.04184,204
 37  A*68:01-B*51:01-C*15:02-DRB1*13:01-DQB1*06:03  India South UCBB 0.039511,446
 38  A*68:01-B*51:01-C*16:02-DRB1*13:01-DQB1*06:110  India East UCBB 0.03832,403
 39  A*68:01-B*51:01-C*15:02-DRB1*13:01-DQB1*06:03  India East UCBB 0.03562,403
 40  A*68:01-B*51:01-C*07:01-DRB1*13:02-DQB1*06:09  India South UCBB 0.034911,446
 41  A*68:01-B*51:01-C*14:02-DRB1*13:01-DQB1*06:03-DPB1*02:01  Germany DKMS - German donors 0.03443,456,066
 42  A*68:01-B*51:01-C*02:02-DRB1*13:01-DQB1*06:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 43  A*68:01-B*51:01-C*15:02-DRB1*13:01-DQB1*06:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 44  A*68:01:01:02-B*51:01:01-C*01:02:01-DRB1*13:01:01-DQB1*06:03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 45  A*68:01:02:01-B*51:01:01-C*14:02:01-DRB1*13:02:01-DQB1*06:04:01  Russia Nizhny Novgorod, Russians 0.03311,510
 46  A*68:01:02:02-B*51:01:01-C*15:02:01-DRB1*13:01:01-DQB1*06:03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 47  A*68:01-B*51:01-C*14:02-DRB1*13:01-DQB1*06:03  India Tamil Nadu 0.03102,492
 48  A*68:01-B*51:01-C*14:02-DRB1*13:02-DQB1*06:09  India Tamil Nadu 0.02992,492
 49  A*68:01:02-B*51:01:01-C*16:02:01-DRB1*13:01:01-DQB1*06:03:01  China Zhejiang Han 0.02881,734
 50  A*68:01:02-B*51:01:01-C*14:02:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.025723,595
 51  A*68:01-B*51:01-C*15:02-DRB1*13:01-DQB1*06:03-DPB1*02:01  Germany DKMS - German donors 0.02463,456,066
 52  A*68:01-B*51:01-C*16:02-DRB1*13:01-DQB1*06:110  India South UCBB 0.021811,446
 53  A*68:01-B*51:01-C*04:01-DRB1*13:01-DQB1*06:03  India East UCBB 0.02082,403
 54  A*68:01-B*51:01-C*07:01-DRB1*13:02-DQB1*06:09  India Tamil Nadu 0.02012,492
 55  A*68:01-B*51:01-C*15:02-DRB1*13:01-DQB1*06:03-DPB1*04:01  Germany DKMS - German donors 0.01523,456,066
 56  A*68:01-B*51:01-C*01:02-DRB1*13:01-DQB1*06:03  Germany DKMS - Turkey minority 0.01304,856
 57  A*68:01-B*51:01-C*14:02-DRB1*13:01-DQB1*06:03  India Central UCBB 0.01194,204
 58  A*68:01-B*51:01-C*14:02-DRB1*13:01-DQB1*06:03-DPB1*04:01  Germany DKMS - German donors 0.01103,456,066
 59  A*68:01-B*51:09-C*18:01-DRB1*13:02-DQB1*06:04  USA African American pop 4 0.01102,411
 60  A*68:01-B*51:01-C*07:02-DRB1*13:02-DQB1*06:09  India South UCBB 0.008711,446
 61  A*68:01-B*51:01-C*14:02-DRB1*13:01-DQB1*06:110  India West UCBB 0.00865,829
 62  A*68:01:01-B*51:01:01-C*15:02:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.008423,595
 63  A*68:01-B*51:01-C*15:04-DRB1*13:01-DQB1*06:03  India South UCBB 0.008411,446
 64  A*68:01-B*51:01-C*15:02-DRB1*13:02-DQB1*06:09  India North UCBB 0.00705,849
 65  A*68:01-B*51:01-C*14:02-DRB1*13:02-DQB1*06:04  India South UCBB 0.004411,446
 66  A*68:01-B*51:01-C*15:02-DRB1*13:02-DQB1*06:09  India South UCBB 0.004411,446
 67  A*68:01-B*51:01-C*15:07-DRB1*13:01-DQB1*06:03  India South UCBB 0.004411,446
 68  A*68:01-B*51:01-C*15:07-DRB1*13:02-DQB1*06:09  India South UCBB 0.004411,446
 69  A*68:01-B*51:06-C*14:02-DRB1*13:02-DQB1*06:09  India South UCBB 0.004411,446
 70  A*68:01:01-B*51:01:01-C*01:02:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.003423,595
 71  A*68:01:02-B*51:01:01-C*15:02:01-DRB1*13:02:01-DQB1*06:04:01  Poland BMR 0.002323,595
 72  A*68:01:02-B*51:01:01-C*14:02:01-DRB1*13:02:01-DQB1*06:04:01  Poland BMR 0.002123,595

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.

support@allelefrequencies.net

Valid XHTML 1.0 Transitional