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 46 (from 46) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*03-B*38-DRB1*13-DQB1*06  Mexico Hidalgo, Pachuca 1.219541
 2  A*03:01-B*38:01-C*12:03-DRB1*13:01-DQA1*01:03-DQB1*06:03  Kosovo 1.2100124
 3  A*03-B*38-DRB1*13:01-DQB1*06:07  Bolivia Quechua 0.720069
 4  A*03-B*38-DRB1*13-DQB1*06  Mexico Mexico City East 0.625079
 5  A*03-B*38-DRB1*13-DQB1*06  Mexico Hidalgo Rural 0.617381
 6  A*03-B*38-DRB1*13-DQB1*06  Mexico Baja Californa, Mexicali 0.5000100
 7  A*03-B*38-DRB1*13-DQB1*06  Mexico Sonora, Ciudad Obregón 0.3497143
 8  A*03-B*38-C*12-DRB1*13-DQB1*06  Albania pop 2 0.3400432
 9  A*03:01:01-B*38:01:01-C*12:03:01-DRB1*13:01:01-DQA1*01:03:01-DQB1*06:03-DPA1*01:03:01-DPB1*10:01  Russia Belgorod region 0.3268153
 10  A*03:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  USA NMDP Caribean Indian 0.258914,339
 11  A*03-B*38-DRB1*13:01-DQA1*01:03-DQB1*06:03  Brazil Paraná Caucasian 0.2340641
 12  A*03:01:01-B*38:01:01-C*12:03:01-DRB1*13:01:01-DQB1*06:03:01  Spain, Canary Islands, Gran canaria island 0.2300215
 13  A*03-B*38-DRB1*13-DQB1*06  Mexico Chihuahua Rural 0.2092236
 14  A*03:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  Germany DKMS - Turkey minority 0.20004,856
 15  A*03-B*38-DRB1*13-DQB1*06  Ecuador Andes Mixed Ancestry 0.1820824
 16  A*03:01:01:01-B*38:01:01-C*12:03:01:01-DRB1*13:01:01-DQB1*06:03:01  Russia Nizhny Novgorod, Russians 0.16841,510
 17  A*03-B*38-DRB1*13-DQB1*06  Mexico Durango Rural 0.1529326
 18  A*03:01:01-B*38:01:01-C*12:03:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.147223,595
 19  A*03:01:01-B*38:02:01-C*14:02:01-DRB1*13:02:01-DQB1*06:09:01  India Kerala Malayalam speaking 0.1400356
 20  A*03:01:01-B*38:14-C*12:03:01-DRB1*13:01:01-DQB1*06:03:01  India Kerala Malayalam speaking 0.1400356
 21  A*03:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  USA Hispanic pop 2 0.14001,999
 22  A*03:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.13704,335
 23  A*03-B*38-DRB1*13-DQB1*06  Ecuador Mixed Ancestry 0.12791,173
 24  A*03-B*38-C*12-DRB1*13-DQA1*01-DQB1*06  Spain, Castilla y Leon, Northwest, 0.11201,743
 25  A*03:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  India North UCBB 0.11025,849
 26  A*03:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  Colombia Bogotá Cord Blood 0.10251,463
 27  A*03-B*38-DRB1*13-DQB1*06  Mexico Veracruz Rural 0.0924539
 28  A*03-B*38-DRB1*13-DQB1*06  Mexico Mexico City North 0.0664751
 29  A*03:01-B*38:01-C*04:01-DRB1*13:01-DQB1*06:03-DPB1*05:01  Russia Karelia 0.05671,075
 30  A*03:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03-DPB1*14:01  Russia Karelia 0.05641,075
 31  A*03:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  India Central UCBB 0.04764,204
 32  A*03-B*38-DRB1*13-DQB1*06  Mexico Jalisco, Guadalajara city 0.04191,189
 33  A*03:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03-DPB1*02:01  Germany DKMS - German donors 0.03853,456,066
 34  A*03:01:01:03-B*38:01:01-C*12:03:01:01-DRB1*13:01:01-DQB1*06:03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 35  A*03:01-B*38:01-C*14:02-DRB1*13:01-DQB1*06:03  India Tamil Nadu 0.02012,492
 36  A*03-B*38-C*12-DRB1*13-DQB1*06-DPB1*02  Norway ethnic Norwegians 0.02004,510
 37  A*03:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03-DPB1*04:01  Germany DKMS - German donors 0.01963,456,066
 38  A*03:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  India West UCBB 0.01935,829
 39  A*03:01:01-B*38:01:01-C*12:03:01-DRB1*13:02:01-DQB1*06:04:01  Poland BMR 0.018223,595
 40  A*03:02-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  Germany DKMS - Turkey minority 0.01604,856
 41  A*03:01-B*38:01-C*12:03-DRB1*13:02-DQB1*06:04  Germany DKMS - Turkey minority 0.01004,856
 42  A*03:02-B*38:01-C*15:02-DRB1*13:01-DQB1*06:110  India South UCBB 0.004411,446
 43  A*03:01:01-B*38:01:01-C*12:03:01-DRB1*13:02:01-DQB1*06:09:01  Poland BMR 0.002323,595
 44  A*03:01:01-B*38:01:01-C*07:01:01-DRB1*13:02:01-DQB1*06:09:01  Poland BMR 0.002123,595
 45  A*03:01:01-B*38:01:01-C*12:03:01-DRB1*13:05:01-DQB1*06:02:01  Poland BMR 0.002123,595
 46  A*03:01:01-B*38:01:01-C*12:03:18-DRB1*13:01:01-DQB1*06:03:01  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.

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