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 61 (from 61) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*24:02-B*35:01-DRB1*16:02  Mexico Oaxaca Zapotec 6.000090
 2  A*68:01-B*35:01-C*04:01-DRB1*16:02-DQA1*05:05-DQB1*03:01  Brazil Puyanawa 5.0000150
 3  A*68:03-B*35:01-C*07:02-DRB1*16:02-DQA1*05:05-DQB1*03:01-DPA1*01:03-DPB1*04:02  Mexico Chiapas Lacandon Mayans 4.1284218
 4  A*02:01-B*35:01-DRB1*16:02  Mexico Oaxaca Zapotec 4.000090
 5  A*24:02-B*35:01-DRB1*16:02  Mexico Oaxaca Mixtec 3.0000103
 6  A*31:01-B*35:01-C*07:02-DRB1*16:02-DQA1*05:05-DQB1*03:01  Mexico Tixcacaltuyub Maya 0.746367
 7  A*68:01:01-B*35:01:01-C*04:01:01-DRB1*16:02:01-DQB1*03:01:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 8  A*02:06-B*35:01-DRB1*16:02  Mexico Oaxaca Jamiltepec Mixtec 0.520096
 9  A*68:03-B*35:01-C*07:02-DRB1*16:02-DQA1*05:05-DQB1*03:01-DPA1*01:03-DPB1*02:01  Mexico Chiapas Lacandon Mayans 0.4587218
 10  A*02:01-B*35:01-DRB1*16:02-DQB1*03:01  Mexico Mexico City Tlalpan 0.4545330
 11  B*35:01-C*04:01-DRB1*16:02-DQB1*03:01  Mexico Mexico City Mestizo pop 2 0.4300234
 12  A*02:01-B*35:01-C*04:01-DRB1*16:02-DQB1*03:01  USA NMDP American Indian South or Central America 0.42685,926
 13  A*24:02:01-B*35:01:01-C*04:01:01-DRB1*16:02:01  Costa Rica Amerindians (G) 0.4080125
 14  A*24:02-B*35:01-C*04:01-DRB1*16:02-DQB1*03:01-DPB1*04:02  Panama 0.3800462
 15  A*68:01-B*35:01-C*08:01-DRB1*16:02-DQA1*05:05-DQB1*03:01  Brazil Puyanawa 0.3333150
 16  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*16:02:01-DQB1*05:03  Costa Rica Central Valley Mestizo (G) 0.2262221
 17  A*02:05:01-B*35:01:01-C*01:02:01-DRB1*16:02:01-DQB1*05:03  Costa Rica Central Valley Mestizo (G) 0.2262221
 18  A*24:02-B*35:01-C*04:01-DRB1*16:02-DQB1*03:01  USA NMDP American Indian South or Central America 0.22385,926
 19  A*23:01-B*35:01-DRB1*16:02-DQB1*03:01  Mexico Mexico City Tlalpan 0.1515330
 20  A*24:02-B*35:01-DRB1*16:02-DQB1*03:01  Mexico Mexico City Tlalpan 0.1515330
 21  A*24:02-B*35:01-DRB1*16:02-DQB1*03:02  Mexico Mexico City Tlalpan 0.1515330
 22  A*68:01-B*35:01-DRB1*16:02-DQB1*03:01  Mexico Mexico City Tlalpan 0.1515330
 23  A*31:01-B*35:01-C*04:01-DRB1*16:02-DQB1*03:01  USA Hispanic pop 2 0.14001,999
 24  B*35:01-DRB1*16:02  Italy pop 5 0.1300975
 25  A*32:01-B*35:01-C*04:01-DRB1*16:02-DQA1*01:02-DQB1*05:02-DPB1*14:01  Sri Lanka Colombo 0.0700714
 26  A*02:01-B*35:01-C*04:01-DRB1*16:02-DQB1*03:01  Colombia Bogotá Cord Blood 0.06841,463
 27  A*24:02-B*35:01-C*04:01-DRB1*16:02-DQB1*05:02  India East UCBB 0.06242,403
 28  A*02:07:01-B*35:01:01-C*03:03:01-DRB1*16:02:01-DQB1*05:02:01  China Zhejiang Han 0.04811,734
 29  A*02:01-B*35:01-C*04:01-DRB1*16:02-DQB1*03:01  USA Hispanic pop 2 0.04701,999
 30  A*31:01-B*35:01-C*03:03-DRB1*16:02  Germany DKMS - China minority 0.03901,282
 31  A*24:02-B*35:01-C*04:01-DRB1*16:02-DQB1*03:01  Colombia Bogotá Cord Blood 0.03571,463
 32  A*11:01:01-B*35:01:01-C*03:03:01-DRB1*16:02:01-DQB1*05:02:01  China Zhejiang Han 0.03031,734
 33  A*24:02-B*35:01-C*04:01-DRB1*16:02  Germany DKMS - Austria minority 0.02901,698
 34  A*02:06-B*35:01-C*04:01-DRB1*16:02-DQB1*03:01  USA Hispanic pop 2 0.02701,999
 35  A*11:01-B*35:01-C*04:01-DRB1*16:02  Germany DKMS - Greece minority 0.02601,894
 36  A*68:02-B*35:01-DRB1*16:02  Israel Kavkazi Jews 0.02252,840
 37  A*11:02:01-B*35:01:01-C*03:03:01-DRB1*16:02:01-DPB1*14:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.01905,266
 38  A*02:02-B*35:01-DRB1*16:02  Israel Druze 0.01285,914
 39  A*02:131-B*35:01-C*04:01-DRB1*16:02-DQB1*05:02  India Central UCBB 0.01194,204
 40  A*03:01-B*35:01-C*04:01-DRB1*16:02-DQB1*05:02  India Central UCBB 0.01194,204
 41  A*11:01-B*35:01-C*04:01-DRB1*16:02-DQB1*05:02  India Central UCBB 0.01194,204
 42  A*24:02-B*35:01-C*04:01-DRB1*16:02-DQB1*05:02  India West UCBB 0.01065,829
 43  A*02:01:01-B*35:01:01-C*03:03:01-DRB1*16:02:01-DPB1*02:02:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00955,266
 44  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*16:02:01-DPB1*02:02:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00925,266
 45  A*24:02-B*35:01-C*04:01-DRB1*16:02-DQB1*05:02  India North UCBB 0.00915,849
 46  A*32:01-B*35:01-C*04:01-DRB1*16:02-DQB1*05:02  India West UCBB 0.00865,829
 47  A*01:01-B*35:01-C*12:03-DRB1*16:02-DQB1*05:02  India North UCBB 0.00855,849
 48  A*02:11-B*35:01-C*04:01-DRB1*16:02-DQB1*06:01  India North UCBB 0.00855,849
 49  A*68:01-B*35:01-C*04:01-DRB1*16:02-DQB1*05:02  India North UCBB 0.00855,849
 50  A*02:01-B*35:01-DRB1*16:02  Israel Druze 0.00855,914
 51  A*11:01-B*35:01-C*04:01-DRB1*16:02-DQB1*05:02  India North UCBB 0.00815,849
 52  A*02:01-B*35:01-C*04:01-DRB1*16:02-DQB1*05:02  India South UCBB 0.007511,446
 53  A*02:07:01-B*35:01:01-C*01:02:01-DRB1*16:02:01-DPB1*13:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00655,266
 54  A*02:06-B*35:01-C*03:03-DRB1*16:02  Japan pop 16 0.005018,604
 55  A*24:02-B*35:01-C*03:03-DRB1*16:02  Japan pop 16 0.005018,604
 56  A*24:02-B*35:01-C*14:02-DRB1*16:02  Japan pop 16 0.005018,604
 57  A*32:01-B*35:01-C*04:01-DRB1*16:02-DQB1*05:02  India South UCBB 0.004411,446
 58  A*11:01-B*35:01-C*04:01-DRB1*16:02  Hong Kong Chinese BMDR 0.00417,595
 59  A*32:01-B*35:01-DRB1*16:02  Israel YemenJews 0.003215,542
 60  A*11:01-B*35:01-DRB1*16:02  Israel USSR Jews 0.003045,681
 61  A*24:02-B*35:01-DRB1*16:02  Israel USSR Jews 0.001145,681

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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