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 : 
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Displaying 1 to 48 (from 48) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*01:01:01-B*07:02:01-C*07:02:01-DRB1*11:04:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*16:01:01  Brazil Rio de Janeiro Parda 0.5882170
 2  A*30:01:01-B*39:01:01-C*06:02:01-DRB1*01:01:01-DQA1*01:03:01-DQB1*05:01-DPA1*01:03:01-DPB1*16:01  Russian Federation Vologda Region 0.4202119
 3  A*11:01:01-B*07:02:01-C*07:02:01-DRB1*04:07:01-DQB1*06:04:01-DPB1*16:01:01  South African Black 0.3520142
 4  A*02:01:01-B*40:01:02-C*03:04:01-DRB1*04:04:01-DQA1*02:01:01-DQB1*03:02-DPA1*01:03:01-DPB1*16:01:01  Russia Belgorod region 0.3268153
 5  A*02:01-B*07:02-C*07:04-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPB1*16:01  South Africa Worcester 0.3000159
 6  A*02:01-B*45:01-C*02:10-DRB1*04:01-DQA1*05:01-DQB1*06:03-DPB1*16:01  South Africa Worcester 0.3000159
 7  A*68:01-B*58:01-C*06:02-DRB1*15:03-DQA1*01:01-DQB1*05:01-DPB1*16:01  South Africa Worcester 0.3000159
 8  A*01:01-B*52:01-C*07:01-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*16:01  Nicaragua Managua 0.2165339
 9  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*16:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 10  A*03:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*16:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 11  A*31:01:02-B*14:02:01-C*08:02:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*16:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 12  A*11:01-B*52:01-C*12:02-DRB1*03:01-DQB1*03:01-DPB1*16:01  Panama 0.1900462
 13  A*24:02-B*51:01-C*16:02-DRB1*15:01-DQA1*01:02-DQB1*06:01-DPA1*01:03-DPB1*16:01  United Arab Emirates Pop 1 0.1402570
 14  A*01:01-B*57:01-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*03:03-DPB1*16:01  Sri Lanka Colombo 0.1401714
 15  A*03:01-B*18:01-C*07:01-DRB1*14:04-DQA1*01:01-DQB1*05:03-DPB1*16:01  Sri Lanka Colombo 0.1401714
 16  A*01:01-B*51:19-C*14:02-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*16:01  Sri Lanka Colombo 0.0700714
 17  A*03:01-B*55:01-C*01:02-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*16:01  Sri Lanka Colombo 0.0700714
 18  A*11:01-B*15:01-C*07:04-DRB1*15:01-DQA1*01:02-DQB1*06:01-DPB1*16:01  Sri Lanka Colombo 0.0700714
 19  A*11:01-B*35:01-C*07:04-DRB1*14:04-DQA1*01:01-DQB1*05:03-DPB1*16:01  Sri Lanka Colombo 0.0700714
 20  A*24:02-B*35:01-C*07:04-DRB1*14:04-DQA1*01:01-DQB1*05:03-DPB1*16:01  Sri Lanka Colombo 0.0700714
 21  A*26:01-B*51:01-C*14:02-DRB1*04:05-DQA1*03:01-DQB1*04:02-DPB1*16:01  Sri Lanka Colombo 0.0700714
 22  A*31:01-B*35:03-C*04:01-DRB1*11:01-DQA1*02:01-DQB1*02:02-DPB1*16:01  Sri Lanka Colombo 0.0700714
 23  A*33:03-B*13:01-C*04:03-DRB1*14:04-DQA1*01:01-DQB1*03:01-DPB1*16:01  Sri Lanka Colombo 0.0700714
 24  A*33:03-B*37:01-C*06:02-DRB1*14:04-DQA1*01:01-DQB1*05:03-DPB1*16:01  Sri Lanka Colombo 0.0700714
 25  A*33:03-B*58:01-C*03:02-DRB1*15:01-DQA1*01:03-DQB1*06:01-DPB1*16:01  Sri Lanka Colombo 0.0700714
 26  DRB1*13:01-DQA1*01:03-DQB1*06:03-DPA1*01:03-DPB1*16:01  China Zhejiang Han pop 2 0.0600833
 27  DRB1*14:04-DQA1*05:05-DQB1*03:01-DPA1*01:03-DPB1*16:01  China Zhejiang Han pop 2 0.0600833
 28  A*02:01-B*40:01-C*03:04-DRB1*03:01-DQB1*02:01-DPB1*16:01  Russia Karelia 0.05651,075
 29  A*24:02-B*51:01-C*01:02-DRB1*09:01-DQB1*03:03-DPB1*16:01  Russia Karelia 0.05651,075
 30  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*16:01  Germany DKMS - German donors 0.04693,456,066
 31  A*02:01-B*44:02-C*05:01-DRB1*11:01-DQA1*01:01-DQB1*05:03-DPA1*01:03-DPB1*16:01  United Arab Emirates Pop 1 0.0467570
 32  A*02:01-B*50:01-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*02:01-DPA1*01:03-DPB1*16:01  United Arab Emirates Pop 1 0.0467570
 33  A*02:11-B*52:01-C*12:02-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPA1*02:01-DPB1*16:01  United Arab Emirates Pop 1 0.0467570
 34  A*11:01-B*13:01-C*04:03-DRB1*12:02-DQA1*06:01-DQB1*03:01-DPA1*01:03-DPB1*16:01  United Arab Emirates Pop 1 0.0467570
 35  A*26:01-B*08:01-C*07:02-DRB1*03:01-DQA1*01:02-DQB1*05:02-DPA1*02:01-DPB1*16:01  United Arab Emirates Pop 1 0.0467570
 36  A*26:01-B*49:01-C*07:01-DRB1*11:01-DQA1*05:01-DQB1*03:01-DPA1*01:03-DPB1*16:01  United Arab Emirates Pop 1 0.0467570
 37  A*33:03-B*07:05-C*07:02-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPA1*02:02-DPB1*16:01  United Arab Emirates Pop 1 0.0467570
 38  A*33:03-B*44:03-C*07:01-DRB1*07:01-DQA1*02:01-DQB1*02:01-DPA1*01:03-DPB1*16:01  United Arab Emirates Pop 1 0.0467570
 39  A*33:03-B*51:01-C*07:29-DRB1*15:02-DQA1*06:01-DQB1*03:01-DPA1*01:03-DPB1*16:01  United Arab Emirates Pop 1 0.0467570
 40  DQA1*01:04-DQB1*05:03-DPA1*01:03-DPB1*16:01  Hong Kong Chinese HKBMDR. DQ and DP 0.02871,064
 41  A*02:01-B*40:01-C*03:04-DRB1*04:01-DQB1*03:02-DPB1*16:01  Germany DKMS - German donors 0.02873,456,066
 42  A*11:01-B*35:01-C*04:01-DRB1*14:01-DQB1*05:03-DPB1*16:01  Germany DKMS - German donors 0.02413,456,066
 43  DQA1*03:02-DQB1*03:03-DPA1*01:03-DPB1*16:01  Hong Kong Chinese HKBMDR. DQ and DP 0.01831,064
 44  A*02:01-B*44:02-C*05:01-DRB1*04:01-DQB1*03:01-DPB1*16:01  Germany DKMS - German donors 0.01473,456,066
 45  A*03:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*16:01  Germany DKMS - German donors 0.01413,456,066
 46  A*29:02-B*44:03-C*16:01-DRB1*07:01-DQB1*02:01-DPB1*16:01  Germany DKMS - German donors 0.01183,456,066
 47  A*02:01-B*51:01-C*02:02-DRB1*11:01-DQB1*03:01-DPB1*16:01  Germany DKMS - German donors 0.01033,456,066
 48  A*03:01:01-B*18:01:01-C*12:03:01-DRB1*14:04:01-DPB1*16:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00525,266

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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