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 1,001 to 1,100 (from 9,892) records   Pages: 11 12 13 14 15 16 17 18 19 20 of 99  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1,001  A*24:02-B*07:02-C*07:02-DRB1*03:01-DQA1*05:01-DQB1*02:01  Kosovo 0.4030124
 1,002  A*26:01-B*07:05-C*07:02-DRB1*11:04-DQA1*05:05-DQB1*03:01  Kosovo 0.4030124
 1,003  A*26:01-B*58:01-C*07:02-DRB1*03:01-DQA1*05:01-DQB1*06:09  Kosovo 0.4030124
 1,004  A*30:01-B*07:02-C*07:02-DRB1*01:01-DQA1*01:01-DQB1*05:03  Kosovo 0.4030124
 1,005  A*32:01-B*07:02-C*07:02-DRB1*07:01-DQA1*02:01-DQB1*02:02  Kosovo 0.4030124
 1,006  A*32:01-B*08:01-C*07:02-DRB1*03:01-DQA1*05:01-DQB1*02:01  Kosovo 0.4030124
 1,007  A*24:02-B*39:06-C*07:02-DRB1*14:06-DRB3*01:01-DQB1*03:01  USA NMDP Hispanic South or Central American 0.4026146,714
 1,008  A*11:01:01-B*40:01:02-C*07:02:01-DRB1*09:01:02-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.40215,266
 1,009  A*24:02-B*07:02-C*07:02-DRB1*15:01  Italy pop 5 0.4000975
 1,010  A*02:01:01-B*07:02:01-C*07:02:01-DRB1*01:01-DQB1*05:01  Costa Rica Central Valley Mestizo (G) 0.3993221
 1,011  A*02:03-B*38:02-C*07:02-DRB1*16:02-DQB1*05:02  USA Asian pop 2 0.39801,772
 1,012  A*03:01-B*07:02-C*07:02-DRB1*14:01-DQB1*05:03  Germany DKMS - Italy minority 0.39701,159
 1,013  A*24:02-B*40:01-C*07:02-DRB1*09:01-DQB1*03:03  USA Asian pop 2 0.39401,772
 1,014  A*26:01-B*07:02-C*07:02-DRB1*15:01  Germany DKMS - Bosnia and Herzegovina minority 0.39401,028
 1,015  A*68:01:01-B*07:02:01-C*07:02:01-DRB1*04:03:01-DQB1*03:02:01-DPB1*04:01:01  Saudi Arabia pop 6 (G) 0.392128,927
 1,016  A*02:01-B*07:02-C*07:02-DRB1*14:01  Germany DKMS - Austria minority 0.39201,698
 1,017  A*01-B*07-C*07:02-DRB1*12-DQB1*03  Russia North Ossetian 0.3900127
 1,018  A*02:01-B*07:02-C*07:02-DRB1*13:01  Germany DKMS - United Kingdom minority 0.39001,043
 1,019  A*02:01-B*08:01-C*07:02-DRB1*03:01  Germany DKMS - China minority 0.39001,282
 1,020  A*02-B*07-C*07:02-DRB1*15-DQB1*06  Russia North Ossetian 0.3900127
 1,021  A*03-B*07-C*07:02-DRB1*04-DQB1*03  Russia North Ossetian 0.3900127
 1,022  A*03-B*38-C*07:02-DRB1*03-DQB1*02  Russia North Ossetian 0.3900127
 1,023  A*11-B*13-C*07:02-DRB1*07-DQB1*03  Russia North Ossetian 0.3900127
 1,024  A*11-B*51-C*07:02-DRB1*11-DQB1*03  Russia North Ossetian 0.3900127
 1,025  A*25-B*18-C*07:02-DRB1*07-DQB1*02  Russia North Ossetian 0.3900127
 1,026  A*26-B*08-C*07:02-DRB1*03-DQB1*03  Russia North Ossetian 0.3900127
 1,027  A*30-B*08-C*07:02-DRB1*07-DQB1*02  Russia North Ossetian 0.3900127
 1,028  A*02:01:01-B*07:02:01-C*07:02:01-DRB1*16:01:01-DQB1*05:02:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.3891521
 1,029  A*03:01:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.3891521
 1,030  A*24:02:01-B*07:02:01-C*07:02:01-DRB1*15:03:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.3891521
 1,031  A*02:01-B*07:02-C*07:02-DRB1*15:01  Germany DKMS - Greece minority 0.38901,894
 1,032  A*11:01:01-B*40:01:02-C*07:02:01-DRB1*04:05:01-DQB1*04:01:01  China Zhejiang Han 0.38661,734
 1,033  A*02:06-B*39:01-C*07:02-DRB1*15:01  Japan pop 16 0.386018,604
 1,034  A*24:02-B*07:02-C*07:02-DRB1*15:01-DRB5*01:01-DQB1*06:02  USA NMDP Hispanic South or Central American 0.3856146,714
 1,035  A*03:01-B*07:02-C*07:02-DRB1*11:01  Poland DKMS 0.383120,653
 1,036  A*03:01-B*07:02-C*07:02-DRB1*15:01-DRB5*01:01-DQB1*06:02  USA NMDP Caribean Black 0.382833,328
 1,037  A*02:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  USA NMDP Black South or Central American 0.38154,889
 1,038  A*26:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*04:01  Panama 0.3800462
 1,039  A*24:02:01-B*39:06:02-C*07:02:01  England Blood Donors of Mixed Ethnicity 0.3790519
 1,040  A*02:01-B*07:02-C*07:02-DRB1*01:03-DQB1*05:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.37604,335
 1,041  A*11:01:01-B*40:01:02-C*07:02:01-DRB1*12:02:01-DQB1*03:01:01  China Zhejiang Han 0.37241,734
 1,042  A*24:02-B*07:05-C*07:02-DRB1*15:01-DQB1*06:01  India Tamil Nadu 0.37242,492
 1,043  A*11:01-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  India North UCBB 0.37065,849
 1,044  A*02:01:01:01-B*07:02:01-C*07:02:01:03-DRB1*01:01:01-DQB1*05:01  Russia Nizhny Novgorod, Russians 0.37051,510
 1,045  A*02:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  USA NMDP Caribean Indian 0.369114,339
 1,046  A*01:01-B*07:02-C*07:02-DRB1*04:03-DQB1*03:02  Malaysia Peninsular Indian 0.3690271
 1,047  A*02:01-B*51:01-C*07:02-DRB1*07:01-DQB1*03:03  Malaysia Peninsular Indian 0.3690271
 1,048  A*02:16-B*07:05-C*07:02-DRB1*10:01-DQB1*05:01  Malaysia Peninsular Indian 0.3690271
 1,049  A*11:01-B*07:02-C*07:02-DRB1*15:02-DQB1*06:01  Malaysia Peninsular Indian 0.3690271
 1,050  A*11:01-B*07:05-C*07:02-DRB1*15:01-DQB1*06:01  Malaysia Peninsular Indian 0.3690271
 1,051  A*24:02-B*07:05-C*07:02-DRB1*14:04-DQB1*05:03  Malaysia Peninsular Indian 0.3690271
 1,052  A*02:03-B*38:02-C*07:02-DRB1*15:02  Hong Kong Chinese BMDR 0.36757,595
 1,053  A*24:02-B*39:01-C*07:02-DRB1*04:04-DQB1*03:02-DPB1*04:01  Russia Karelia 0.36131,075
 1,054  A*24:02-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  Colombia Bogotá Cord Blood 0.36001,463
 1,055  A*02:01-B*39:06-C*07:02-DRB1*08:01  Italy pop 5 0.3600975
 1,056  A*03:01-B*07:02-C*07:02-DRB1*01:01  Germany DKMS - France minority 0.35901,406
 1,057  A*02:01:01-B*07:02:01-C*07:02:01-DRB1*01:03  Nicaragua Mestizo (G) 0.3584155
 1,058  A*02:01:01-B*07:02:01-C*07:02:01-DRB1*08:04:01  Nicaragua Mestizo (G) 0.3584155
 1,059  A*02:01:01-B*07:02:01-C*07:02:01-DRB1*13:02:01  Nicaragua Mestizo (G) 0.3584155
 1,060  A*02:01:01-B*07:02:01-C*07:02:01-DRB1*15:02:01  Nicaragua Mestizo (G) 0.3584155
 1,061  A*11:01-B*07:06-C*07:02-DRB1*15:01-DQB1*06:01  India South UCBB 0.358311,446
 1,062  A*11:01:01-B*07:05:01-C*07:02:01-DRB1*13:01:01-DQB1*06:03:01  India Karnataka Kannada Speaking 0.3570174
 1,063  A*03:01-B*07:02-C*07:02-DRB1*04:01  Germany DKMS - France minority 0.35601,406
 1,064  A*02:01-B*07:02-C*07:02-DRB1*15:01-DRB5*01:01-DQB1*06:02  USA NMDP African American pop 2 0.3540416,581
 1,065  A*03:01-B*07:02-C*07:02-DRB1*15:01-DRB5*01:01-DQB1*06:02  USA NMDP African 0.353828,557
 1,066  A*24:02-B*40:01-C*07:02-DRB1*09:01  Hong Kong Chinese BMDR 0.35267,595
 1,067  A*01:01:01-B*07:06:01-C*07:02:01-DRB1*08:04:01-DQB1*04:02:01-DPB1*02:01:02  South African Black 0.3520142
 1,068  A*01:01:01-B*07:06:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01-DPB1*04:01:01  South African Black 0.3520142
 1,069  A*03:01:01-B*08:01:01-C*07:02:01-DRB1*03:02:01-DQB1*03:02:01-DPB1*13:01:01  South African Black 0.3520142
 1,070  A*11:01:01-B*07:02:01-C*07:02:01-DRB1*04:04:01-DQB1*06:02:01-DPB1*02:01:02  South African Black 0.3520142
 1,071  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
 1,072  A*23:01:01-B*42:01:01-C*07:02:01-DRB1*01:01:01-DQB1*04:02:01-DPB1*55:01:01  South African Black 0.3520142
 1,073  A*23:17-B*07:06:01-C*07:02:01-DRB1*07:01:01-DQB1*02:02:01-DPB1*02:01:02  South African Black 0.3520142
 1,074  A*23:17-B*15:10:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01-DPB1*04:01:01  South African Black 0.3520142
 1,075  A*24:02:01-B*07:02:01-C*07:02:01-DRB1*08:01:01-DQB1*04:02:01-DPB1*04:01:01  South African Black 0.3520142
 1,076  A*24:02:01-B*15:10:01-C*07:02:01-DRB1*13:01:01-DQB1*06:03:01-DPB1*55:01:01  South African Black 0.3520142
 1,077  A*30:01:01-B*08:01:01-C*07:02:01-DRB1*13:01:01-DQB1*06:04:01-DPB1*51:01  South African Black 0.3520142
 1,078  A*33:03:01-B*07:02:01-C*07:02:01-DRB1*09:01:02-DQB1*02:02:01-DPB1*104:01:01  South African Black 0.3520142
 1,079  A*68:02:01-B*07:02:01-C*07:02:01-DRB1*15:03:01-DQB1*06:02:01-DPB1*835:01:01  South African Black 0.3520142
 1,080  A*68:02:01-B*15:220-C*07:02:01-DRB1*13:02:01-DQB1*06:02:01-DPB1*01:01:01  South African Black 0.3520142
 1,081  A*11:01-B*40:01-C*07:02-DRB1*04:05  Hong Kong Chinese BMDR 0.35107,595
 1,082  A*01:01-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  India North UCBB 0.35055,849
 1,083  A*24:02-B*07:02-C*07:02-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPB1*04:01  Sri Lanka Colombo 0.3501714
 1,084  A*24:02-B*07:05-C*07:02-DRB1*15:01-DQA1*01:03-DQB1*06:01-DPB1*04:01  Sri Lanka Colombo 0.3501714
 1,085  B*08:01-C*07:02  Italy pop 5 0.3500975
 1,086  B*35:01-C*07:02  Italy pop 5 0.3500975
 1,087  A*01:01-B*39:05-C*07:02-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo population 0.3497143
 1,088  A*02:01-B*39:02-C*07:02-DRB1*04:04-DQB1*03:02  Mexico Mexico City Mestizo population 0.3497143
 1,089  A*02:01-B*39:05-C*07:02-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo population 0.3497143
 1,090  A*02:01-B*51:08-C*07:02-DRB1*09:01-DQB1*03:03  Mexico Mexico City Mestizo population 0.3497143
 1,091  A*02:06-B*39:05-C*07:02-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo population 0.3497143
 1,092  A*03:01-B*07:02-C*07:02-DRB1*04:04-DQB1*03:02  Mexico Mexico City Mestizo population 0.3497143
 1,093  A*03:01-B*07:51-C*07:02-DRB1*04:02-DQB1*03:02  Mexico Mexico City Mestizo population 0.3497143
 1,094  A*03:01-B*39:06-C*07:02-DRB1*04:07-DQB1*03:02  Mexico Mexico City Mestizo population 0.3497143
 1,095  A*24:02-B*07:02-C*07:02-DRB1*04:03-DQB1*03:02  Mexico Mexico City Mestizo population 0.3497143
 1,096  A*24:02-B*07:02-C*07:02-DRB1*15:01-DQB1*05:02  Mexico Mexico City Mestizo population 0.3497143
 1,097  A*24:02-B*39:01-C*07:02-DRB1*14:02-DQB1*03:01  Mexico Mexico City Mestizo population 0.3497143
 1,098  A*24:02-B*39:01-C*07:02-DRB1*15:01-DQB1*06:02  Mexico Mexico City Mestizo population 0.3497143
 1,099  A*24:02-B*39:05-C*07:02-DRB1*04:04-DQB1*03:02  Mexico Mexico City Mestizo population 0.3497143
 1,100  A*24:02-B*39:06-C*07:02-DRB1*04:07-DQB1*03:02  Mexico Mexico City Mestizo population 0.3497143

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).


Displaying 1,001 to 1,100 (from 9,892) records   Pages: 11 12 13 14 15 16 17 18 19 20 of 99  


   

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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