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 3,183) records   Pages: 11 12 13 14 15 16 17 18 19 20 of 32  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1,001  A*68:01-B*35:01-DRB1*04:11-DQB1*04:02  Mexico Mexico City Tlalpan 0.1515330
 1,002  A*68:01-B*35:02-DRB1*08:02-DQB1*04:02  Mexico Mexico City Tlalpan 0.1515330
 1,003  A*68:01-B*39:01-DRB1*08:04-DQB1*04:02  Mexico Mexico City Tlalpan 0.1515330
 1,004  A*68:01-B*40:01-DRB1*08:02-DQB1*04:02  Mexico Mexico City Tlalpan 0.1515330
 1,005  A*68:01-B*48:01-DRB1*08:02-DQB1*04:02  Mexico Mexico City Tlalpan 0.1515330
 1,006  A*68:03-B*48:01-DRB1*08:02-DQB1*04:02  Mexico Mexico City Tlalpan 0.1515330
 1,007  A*68:05-B*39:02-DRB1*08:02-DQB1*04:02  Mexico Mexico City Tlalpan 0.1515330
 1,008  A*03:01:01-B*07:02:01-C*07:02:01-DRB1*08:01:01-DQB1*04:02:01  Poland BMR 0.150623,595
 1,009  DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*01:03-DPB1*04:02  China Zhejiang Han pop 2 0.1503833
 1,010  A*24:02-B*48:01-C*08:01-DRB1*08:02-DQB1*04:02  Colombia Bogotá Cord Blood 0.14871,463
 1,011  A*02:13-B*40:02-C*03:04-DRB1*08:02-DQB1*04:02  Colombia Bogotá Cord Blood 0.14651,463
 1,012  A*03:01-B*42:01-C*17:01-DRB1*03:02-DQB1*04:02  USA NMDP Black South or Central American 0.14504,889
 1,013  A*02:01-B*40:01-C*03:04-DRB1*08:01-DQB1*04:02-DPB1*04:01  Russia Karelia 0.14431,075
 1,014  A*24:02-B*35:17-C*04:01-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.14401,999
 1,015  DQB1*04:02-DPB1*04:02:01  China Inner Mongolia Autonomous Region Northeast 0.1430496
 1,016  DRB1*04:04-DQB1*04:02  USA Hispanic pop 2 0.14301,999
 1,017  A*02:01-B*35:01-C*16:01-DRB1*03:02-DQB1*04:02  USA NMDP Black South or Central American 0.14164,889
 1,018  DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*02:02-DPB1*05:01  China Zhejiang Han pop 2 0.1409833
 1,019  A*30:01-B*42:01-C*17:01-DRB1*03:02-DRB3*01:01-DQB1*04:02  USA NMDP Mexican or Chicano 0.1408261,235
 1,020  A*02:01-B*35:03-C*04:01-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPB1*04:01  Sri Lanka Colombo 0.1401714
 1,021  A*01:01:01-B*35:01:01-C*12:03:01-DRB1*04:04:01-DQB1*04:02:01  India Kerala Malayalam speaking 0.1400356
 1,022  A*01:02-B*49:01-C*07:01-DRB1*11:04-DQB1*04:02  Italy pop 5 0.1400975
 1,023  A*02:01-B*07:02-C*07:02-DRB1*08:01-DQB1*04:02  Italy pop 5 0.1400975
 1,024  A*02:01-B*27:05-C*01:02-DRB1*07:01-DQB1*04:02  Italy pop 5 0.1400975
 1,025  A*02:01-B*35:03-C*04:01-DRB1*08:02-DQB1*04:02  Italy pop 5 0.1400975
 1,026  A*02:01-B*35:08-C*04:01-DRB1*08:01-DQB1*04:02  Italy pop 5 0.1400975
 1,027  A*02:01-B*35:08-C*04:01-DRB1*08:04-DQB1*04:02  Italy pop 5 0.1400975
 1,028  A*02:01-B*51:01-C*14:02-DRB1*03:01-DQB1*04:02  Italy pop 5 0.1400975
 1,029  A*02:01-B*51:01-C*16:01-DRB1*08:01-DQB1*04:02  Italy pop 5 0.1400975
 1,030  A*02:06-B*51:01-C*08:01-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.14001,999
 1,031  A*03:01:01-B*55:01:01-C*01:02:01-DRB1*08:01:01-DQB1*04:02:01  India Kerala Malayalam speaking 0.1400356
 1,032  A*03:01-B*15:01-C*01:02-DRB1*08:01-DQB1*04:02  Italy pop 5 0.1400975
 1,033  A*11:01-B*35:01-C*07:01-DRB1*08:01-DQB1*04:02  Italy pop 5 0.1400975
 1,034  A*11:01-B*44:02-C*07:04-DRB1*11:01-DQB1*04:02  Italy pop 5 0.1400975
 1,035  A*11:01-B*44:03-C*04:01-DRB1*07:01-DQB1*04:02  Italy pop 5 0.1400975
 1,036  A*23:01-B*53:01-C*04:01-DRB1*03:02-DQB1*04:02  Italy pop 5 0.1400975
 1,037  A*23:01-B*58:01-C*07:18-DRB1*13:02-DQB1*04:02  Italy pop 5 0.1400975
 1,038  A*24:02:01-B*07:05:01-C*07:02:01-DRB1*08:02:01-DQB1*04:02:01  India Kerala Malayalam speaking 0.1400356
 1,039  A*24:02:01-B*40:01:02-C*12:03:01-DRB1*08:04:01-DQB1*04:02:01  India Kerala Malayalam speaking 0.1400356
 1,040  A*24:02:01-B*58:01:01-C*03:04:01-DRB1*13:02:01-DQB1*04:02:01  India Kerala Malayalam speaking 0.1400356
 1,041  A*24:02-B*35:02-C*15:02-DRB1*08:02-DQB1*04:02  Italy pop 5 0.1400975
 1,042  A*24:02-B*35:12-C*04:01-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.14001,999
 1,043  A*24:02-B*39:06-C*02:02-DRB1*15:01-DQB1*04:02  Italy pop 5 0.1400975
 1,044  A*24:02-B*40:02-C*03:06-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.14001,999
 1,045  A*24:02-B*51:01-C*01:02-DRB1*08:01-DQB1*04:02  Italy pop 5 0.1400975
 1,046  A*31:01:02-B*35:03:01-C*04:01:01-DRB1*08:02:01-DQB1*04:02:01  India Kerala Malayalam speaking 0.1400356
 1,047  A*31:01-B*35:17-C*04:01-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.14001,999
 1,048  A*33:03:01-B*40:02:01-C*15:02:01-DRB1*04:04:01-DQB1*04:02:01  India Kerala Malayalam speaking 0.1400356
 1,049  A*34:02-B*27:05-C*04:01-DRB1*07:01-DQB1*04:02  Italy pop 5 0.1400975
 1,050  A*68:01:01-B*07:02:01-C*15:02:01-DRB1*15:01:01-DQB1*04:02:01  India Kerala Malayalam speaking 0.1400356
 1,051  A*68:01-B*48:01-C*08:01-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.14001,999
 1,052  DRB1*13:03-DQB1*04:02  USA Hispanic pop 2 0.13901,999
 1,053  A*68:02-B*53:01-C*04:01-DRB1*03:02-DQB1*04:02  USA NMDP Black South or Central American 0.13864,889
 1,054  A*24:02-B*39:06-C*07:02-DRB1*08:01-DQB1*04:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.13704,335
 1,055  A*02:01:01-B*35:01:01-C*03:03:01-DRB1*08:01:01-DQB1*04:02:01  Poland BMR 0.136823,595
 1,056  A*01:01-B*58:01-C*07:01-DRB1*08:04-DQB1*04:02  Colombia Bogotá Cord Blood 0.13671,463
 1,057  A*02:01-B*39:11-C*07:02-DRB1*04:10-DQB1*04:02  Colombia Bogotá Cord Blood 0.13671,463
 1,058  A*02:01-B*51:10-C*15:02-DRB1*08:02-DQB1*04:02  Colombia Bogotá Cord Blood 0.13671,463
 1,059  A*68:01-B*35:01-C*03:04-DRB1*08:02-DQB1*04:02  Colombia Bogotá Cord Blood 0.13671,463
 1,060  A*30:02-B*45:01-C*16:01-DRB1*03:02-DQB1*04:02  USA African American pop 4 0.13502,411
 1,061  A*31:01-B*51:01-C*14:02-DRB1*08:02-DQB1*04:02  USA Asian pop 2 0.13501,772
 1,062  A*68:02-B*42:01-C*17:01-DRB1*03:02-DQB1*04:02  USA African American pop 4 0.13502,411
 1,063  A*02:01-B*35:43-C*01:02-DRB1*08:02-DQB1*04:02  Colombia Bogotá Cord Blood 0.13501,463
 1,064  A*24:02:01:01-B*07:02:01-C*07:02:01:03-DRB1*08:01:01-DQB1*04:02:01  Russia Nizhny Novgorod, Russians 0.13481,510
 1,065  A*68:02-B*57:03-C*07:01-DRB1*03:02-DRB3*03:01-DQB1*04:02  USA NMDP Hispanic South or Central American 0.1343146,714
 1,066  A*68:02-B*53:01-C*04:01-DRB1*03:02-DQB1*04:02  USA African American pop 4 0.13302,411
 1,067  A*02:01-B*45:01-C*16:01-DRB1*03:02-DQB1*04:02  USA African American pop 4 0.13102,411
 1,068  A*68:01-B*52:01-C*16:01-DRB1*03:02-DQB1*04:02  USA African American pop 4 0.13102,411
 1,069  A*11:01:01:01-B*15:01:01-C*04:01:01-DRB1*08:01:01-DQB1*04:02:01  Russia Nizhny Novgorod, Russians 0.13031,510
 1,070  A*02:01-B*07:02-C*07:02-DRB1*08:01-DQB1*04:02  USA NMDP American Indian South or Central America 0.12975,926
 1,071  DQA1*03:03-DQB1*04:02-DPA1*02:02-DPB1*05:01  Hong Kong Chinese HKBMDR. DQ and DP 0.12921,064
 1,072  A*02:01-B*27:03-C*02:02-DRB1*08:04-DQB1*04:02  Germany DKMS - Italy minority 0.12901,159
 1,073  A*24:14-B*40:02-C*03:04-DRB1*08:02-DQB1*04:02  Colombia Bogotá Cord Blood 0.12501,463
 1,074  A*32:01-B*39:01-C*07:02-DRB1*08:01-DQB1*04:02-DPB1*04:01  Russia Karelia 0.12441,075
 1,075  DRB1*04:10-DQA1*03:03-DQB1*04:02-DPA1*02:01-DPB1*14:01  China Zhejiang Han pop 2 0.1200833
 1,076  DRB1*08:09-DQA1*04:01-DQB1*04:02-DPA1*02:02-DPB1*02:01  China Zhejiang Han pop 2 0.1200833
 1,077  DRB1*11:01-DQB1*04:02  Italy pop 5 0.1200975
 1,078  DRB1*11:04-DQB1*04:02  Italy pop 5 0.1200975
 1,079  DRB1*16:01-DQB1*04:02  Italy pop 5 0.1200975
 1,080  A*02:01-B*42:01-C*17:01-DRB1*03:02-DQB1*04:02  USA NMDP Black South or Central American 0.11954,889
 1,081  A*29:02-B*58:01-C*07:18-DRB1*08:04-DQB1*04:02  India Central UCBB 0.11894,204
 1,082  A*26:01-B*40:02-C*01:02-DRB1*08:01-DQB1*04:02-DPB1*10:01  Russia Karelia 0.11291,075
 1,083  A*24:02-B*40:01-C*03:04-DRB1*08:01-DQB1*04:02-DPB1*02:01  Russia Karelia 0.11291,075
 1,084  A*11:01-B*15:01-C*04:01-DRB1*08:01-DQB1*04:02-DPB1*03:01  Russia Karelia 0.11271,075
 1,085  A*03-B*35-DRB1*08:01-DQA1*04:01-DQB1*04:02  Brazil Paraná Caucasian 0.1121641
 1,086  A*29:02-B*58:01-C*07:18-DRB1*08:04-DQB1*04:02  India North UCBB 0.11115,849
 1,087  A*03:01-B*39:06-C*07:02-DRB1*08:01-DQB1*04:02-DPB1*04:01  Russia Karelia 0.10801,075
 1,088  A*02:01-B*39:05-C*07:02-DRB1*08:02-DQB1*04:02  Colombia Bogotá Cord Blood 0.10781,463
 1,089  A*68:02-B*15:10-C*03:04-DRB1*03:02-DQB1*04:02  USA African American pop 4 0.10602,411
 1,090  A*02:01-B*40:01-C*03:04-DRB1*08:01-DQB1*04:02-DPB1*03:01  Germany DKMS - German donors 0.10593,456,066
 1,091  A*34:01-B*15:21-C*04:03-DRB1*04:05-DQB1*04:02  Malaysia Peninsular Malay 0.1052951
 1,092  A*74:01-B*51:01-C*14:02-DRB1*04:05-DQB1*04:02  Malaysia Peninsular Malay 0.1052951
 1,093  A*29:02:01-B*42:01-C*17:01:01-DRB1*03:02-DQB1*04:02:01-DPB1*01:01:01  Saudi Arabia pop 6 (G) 0.104728,927
 1,094  A*02:01-B*07:02-C*07:02-DRB1*08:01-DQB1*04:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.10304,335
 1,095  A*02:01-B*40:01-C*03:04-DRB1*08:01-DQB1*04:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.10304,335
 1,096  A*24:02-B*07:02-C*07:02-DRB1*08:01-DQB1*04:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.10304,335
 1,097  A*30:01-B*42:01-C*17:01-DRB1*03:02-DQB1*04:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.10304,335
 1,098  A*02:01-B*35:20-C*04:01-DRB1*08:02-DQB1*04:02  Colombia Bogotá Cord Blood 0.10251,463
 1,099  A*02:01-B*51:01-C*02:02-DRB1*08:01-DQB1*04:02  Colombia Bogotá Cord Blood 0.10251,463
 1,100  A*24:02-B*35:31-C*03:04-DRB1*08:02-DQB1*04:02  Colombia Bogotá Cord Blood 0.10251,463

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 3,183) records   Pages: 11 12 13 14 15 16 17 18 19 20 of 32  


   

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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