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 60 (from 60) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*02:01-B*39:01-DRB1*10:01-DQB1*05:01  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 2  A*33-B*39-DRB1*10-DQB1*05  Guatemala, Guatemala City Mixed Ancestry 0.3900127
 3  A*11-B*39-DRB1*10  India sub-Himalayan West Bengal Kami 0.3200158
 4  A*68:01-B*39:01-DRB1*10:01-DQB1*05:01  Mexico Mexico City Tlalpan 0.3030330
 5  A*03:01-B*39:01-DRB1*10:01  Israel Kavkazi Jews 0.24602,840
 6  A*31-B*39-DRB1*10  Albania pop 2 0.1200432
 7  A*03:02-B*39:01-DRB1*10:01  Israel Kavkazi Jews 0.08802,840
 8  A*66:01-B*39:10-C*12:03-DRB1*10:01-DQB1*05:01  USA African American pop 4 0.08702,411
 9  A*31:01-B*39:01-C*12:03-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*02:01  Sri Lanka Colombo 0.0700714
 10  A*02-B*39-DRB1*10  Brazil Para Cord Blood Unit 0.0611841
 11  A*11:01-B*39:01-C*08:01-DRB1*10:01-DQB1*06:03  Malaysia Peninsular Malay 0.0526951
 12  A*32:14-B*39:15-C*12:02-DRB1*10:01-DQB1*05:01  Malaysia Peninsular Malay 0.0526951
 13  A*01:01-B*39:01-C*12:03-DRB1*10:01-DQB1*05:01  Germany DKMS - Italy minority 0.04301,159
 14  A*11-B*39-C*12-DRB1*10  Macedonia MBMDR - Macedonian 0.03901,283
 15  A*24:02-B*39:05-C*07:02-DRB1*10:01  Germany DKMS - China minority 0.03901,282
 16  A*30-B*39-C*15-DRB1*10  Macedonia MBMDR - Macedonian 0.03901,283
 17  A*29:02-B*39:06-C*16:01-DRB1*10:01  Germany DKMS - France minority 0.03601,406
 18  A*02:01-B*39:10-DRB1*10:01  Israel Ethiopia Jews 0.03405,928
 19  A*68:01-B*39:01-C*12:03-DRB1*10:01-DQB1*05:01  Germany DKMS - Turkey minority 0.03104,856
 20  A*31:01:02-B*39:01:01-C*07:02:01-DRB1*10:01:01-DQB1*05:01:01  China Zhejiang Han 0.02881,734
 21  A*02:02-B*39:10-DRB1*10:01  Israel Ethiopia Jews 0.02535,928
 22  A*02:03-B*39:01-C*04:01-DRB1*10:01-DQB1*05:01  India East UCBB 0.02082,403
 23  A*02:01-B*39:01-C*12:03-DRB1*10:01-DQB1*05:01  India Tamil Nadu 0.02012,492
 24  A*11:01-B*39:01-C*12:03-DRB1*10:01-DQB1*05:01  India Tamil Nadu 0.02012,492
 25  A*26:01-B*39:01-C*12:02-DRB1*10:01-DQB1*05:01  India Tamil Nadu 0.02012,492
 26  A*02:01-B*39:31-DRB1*10:01  Israel Arab pop 2 0.014312,301
 27  A*66-B*39-DRB1*10  Brazil South East Cord Blood 0.013011,409
 28  A*02:01-B*39:01-C*07:02-DRB1*10:01-DQB1*05:01  India Central UCBB 0.01194,204
 29  A*11:01-B*39:01-C*01:02-DRB1*10:01-DQB1*05:01  India Central UCBB 0.01194,204
 30  A*31-B*39-DRB1*10  Brazil Para State 0.01135,000
 31  A*01-B*39-DRB1*10  Brazil Para State 0.01005,000
 32  A*11-B*39-DRB1*10  Brazil Para State 0.01005,000
 33  A*66-B*39-DRB1*10  Brazil Para State 0.01005,000
 34  A*11:01-B*39:01-C*12:03-DRB1*10:01-DQB1*05:01  India South UCBB 0.009811,446
 35  A*03-B*39-DRB1*10  Brazil Para State 0.00955,000
 36  A*11:01:01-B*39:01:01-C*03:04:01-DRB1*10:01:01-DPB1*04:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00945,266
 37  A*11:01:01-B*39:01:01-C*07:02:01-DRB1*10:01:01-DPB1*04:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00885,266
 38  A*29:01-B*39:01-C*12:04-DRB1*10:01-DQB1*05:01  India West UCBB 0.00865,829
 39  A*68:01-B*39:01-C*07:02-DRB1*10:01-DQB1*05:01  India North UCBB 0.00855,849
 40  A*24:02-B*39:10-DRB1*10:01  Israel Ethiopia Jews 0.00845,928
 41  A*03:02-B*39:06-DRB1*10:01  Israel USA Jews 0.00836,058
 42  A*02:01-B*39:01-C*12:03-DRB1*10:01  Poland DKMS 0.007620,653
 43  A*33-B*39-DRB1*10  Brazil South East Cord Blood 0.007011,409
 44  A*11:01-B*39:01-C*07:02-DRB1*10:01  Japan pop 16 0.005018,604
 45  A*03:02-B*39:01-DRB1*10:01  Israel USSR Jews 0.004945,681
 46  A*26:01-B*39:01-C*07:02-DRB1*10:01  Poland DKMS 0.004820,653
 47  A*03:01-B*39:01-C*02:02-DRB1*10:01-DQB1*05:01  India South UCBB 0.004411,446
 48  A*03:01-B*39:01-C*12:03-DRB1*10:01-DQB1*05:01  India South UCBB 0.004411,446
 49  A*11:01-B*39:01-C*12:04-DRB1*10:01-DQB1*05:01  India South UCBB 0.004411,446
 50  A*24:02-B*39:06-C*07:02-DRB1*10:01-DQB1*05:01  India South UCBB 0.004411,446
 51  A*24:07-B*39:06-C*07:02-DRB1*10:01-DQB1*05:01  India South UCBB 0.004411,446
 52  A*03:02-B*39:31-DRB1*10:01  Israel Arab pop 2 0.004112,301
 53  A*26:01-B*39:01-DRB1*10:01  Israel Arab pop 2 0.004012,301
 54  A*32-B*39-DRB1*10  Brazil South East Cord Blood 0.004011,409
 55  A*03:02-B*39:06-DRB1*10:01  Israel Poland Jews 0.003613,871
 56  A*02:02-B*39:10-DRB1*10:01  Israel YemenJews 0.003315,542
 57  A*32:01:01-B*39:01:01-C*12:03:01-DRB1*10:01:01-DQB1*06:03:01  Poland BMR 0.002123,595
 58  A*24:02-B*39:06-DRB1*10:01  Israel Morocco Jews 0.001436,718
 59  A*31:01-B*39:01-C*12:03-DRB1*10:01  Poland DKMS 0.001220,653
 60  A*03:01-B*39:01-DRB1*10:01  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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