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 4,129) records   Pages: 11 12 13 14 15 16 17 18 19 20 of 42  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1,001  A*02:06-B*51:01-C*15:02-DRB1*13:01-DQB1*06:03-DPB1*05:01  Russia Karelia 0.10751,075
 1,002  A*01:01-B*51:01-C*14:02-DRB1*13:01-DQB1*06:03  India South UCBB 0.107211,446
 1,003  A*11:01-B*39:01-C*12:03-DRB1*13:01-DQB1*06:03  India Central UCBB 0.10704,204
 1,004  A*02:11-B*40:06-C*15:02-DRB1*13:01-DQB1*06:03  India South UCBB 0.106911,446
 1,005  A*02:01-B*15:01-C*03:03-DRB1*13:01-DQB1*06:03-DPB1*02:01  Germany DKMS - German donors 0.10663,456,066
 1,006  A*02:01-B*35:03-C*04:01-DRB1*13:01-DQB1*06:03  India East UCBB 0.10612,403
 1,007  A*24:02-B*55:01-C*01:02-DRB1*13:01-DQB1*06:03  Malaysia Peninsular Malay 0.1052951
 1,008  A*33:03-B*58:01-C*03:02-DRB1*13:01-DQB1*06:03  Malaysia Peninsular Malay 0.1052951
 1,009  A*11:01-B*52:01-C*12:02-DRB1*13:01-DQB1*06:03  India South UCBB 0.104811,446
 1,010  A*24:02-B*15:01-C*03:03-DRB1*13:01-DQB1*06:03-DPB1*04:01  Germany DKMS - German donors 0.10453,456,066
 1,011  A*24:02-B*55:01-C*01:02-DRB1*13:01-DQB1*06:03  India Central UCBB 0.10424,204
 1,012  A*01:01-B*15:17-C*07:01-DRB1*13:01-DQB1*06:03  India North UCBB 0.10415,849
 1,013  A*01:01-B*37:01-C*06:02-DRB1*13:01-DQB1*06:03-DPB1*04:02  Russia Karelia 0.10401,075
 1,014  A*03:01-B*52:01-C*05:01-DRB1*13:01-DQB1*06:03  India East UCBB 0.10402,403
 1,015  A*68:01-B*51:01-C*16:02-DRB1*13:01-DQB1*06:03  India East UCBB 0.10402,403
 1,016  A*02:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03-DPB1*02:01  Russia Karelia 0.10341,075
 1,017  A*29:02-B*44:03-C*16:01-DRB1*13:01-DQB1*06:03  Colombia Bogotá Cord Blood 0.10341,463
 1,018  A*24:02:01-B*38:01:01-C*12:03:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.103023,595
 1,019  A*02:01-B*07:02-C*07:02-DRB1*13:01-DQB1*06:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.10304,335
 1,020  A*02:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.10304,335
 1,021  A*02:01-B*51:01-C*02:02-DRB1*13:01-DQB1*06:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.10304,335
 1,022  A*11:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.10304,335
 1,023  A*25:01-B*15:01-C*03:03-DRB1*13:01-DQB1*06:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.10304,335
 1,024  A*26:01-B*44:02-C*05:01-DRB1*13:01-DQB1*06:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.10304,335
 1,025  A*32:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.10304,335
 1,026  A*03:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  Colombia Bogotá Cord Blood 0.10251,463
 1,027  A*32:01-B*44:02-C*05:01-DRB1*13:01-DQB1*06:03  Colombia Bogotá Cord Blood 0.10251,463
 1,028  A*24:02-B*07:02-C*07:02-DRB1*15:01-DQB1*06:03  India North UCBB 0.10255,849
 1,029  A*02:01:01-B*57:01:01-C*06:02:01-DRB1*13:01:01-DQB1*06:03:01-DPB1*04:01:01  Saudi Arabia pop 6 (G) 0.102328,927
 1,030  A*02:01-B*35:03-C*04:01-DRB1*13:01-DQB1*06:03  India North UCBB 0.10135,849
 1,031  A*01:01:01-B*37:01:01-C*06:02:01-DRB1*13:01-DQB1*06:03  Costa Rica Central Valley Mestizo (G) 0.1012221
 1,032  A*01:01:01-B*41:01-C*17:01:01-DRB1*13:01-DQB1*06:03  Costa Rica Central Valley Mestizo (G) 0.1009221
 1,033  DRB1*13:01-DQB1*06:03-DPB1*30:01  Gambia pop 3 0.1007939
 1,034  A*03:01-B*35:03-C*12:03-DRB1*13:01-DQB1*06:03  India Tamil Nadu 0.10062,492
 1,035  A*02:01-B*15:01-C*03:03-DRB1*13:01-DQB1*06:03-DPB1*03:01  Russia Karelia 0.10031,075
 1,036  A*24:02-B*15:18-C*07:04-DRB1*13:01-DQB1*06:03  India Tamil Nadu 0.10012,492
 1,037  A*03:01:01:01-B*35:03:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01  Russia Nizhny Novgorod, Russians 0.09931,510
 1,038  A*11:01:01:01-B*52:01:01:02-C*12:02:02-DRB1*13:01:01-DQB1*06:03:01  Russia Nizhny Novgorod, Russians 0.09931,510
 1,039  A*24:02:01-B*27:05:02-C*02:02:02-DRB1*13:01:01-DQB1*06:03:01  Russia Nizhny Novgorod, Russians 0.09931,510
 1,040  A*26:01:01-B*38:01:01-C*12:03:01:01-DRB1*13:01-DQB1*06:03:01  Russia Nizhny Novgorod, Russians 0.09931,510
 1,041  A*24:02-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  India North UCBB 0.09885,849
 1,042  A*11:01-B*51:01-C*14:02-DRB1*13:01-DQB1*06:03  India South UCBB 0.098111,446
 1,043  A*02:01:01-B*40:01:02-C*03:04:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.098123,595
 1,044  A*11:01-B*52:01-C*12:02-DRB1*13:01-DQB1*06:03  India Central UCBB 0.09794,204
 1,045  A*33:03-B*44:03-C*07:06-DRB1*13:01-DQB1*06:03  India Central UCBB 0.09774,204
 1,046  A*68:01-B*15:01-C*03:03-DRB1*13:01-DQB1*06:03-DPB1*02:01  Russia Karelia 0.09751,075
 1,047  A*33:03-B*55:01-C*01:02-DRB1*13:01-DQB1*06:03  India Tamil Nadu 0.09732,492
 1,048  A*11:01-B*40:06-C*15:02-DRB1*13:01-DQB1*06:03  India West UCBB 0.09715,829
 1,049  A*11:01-B*55:01-C*01:02-DRB1*13:01-DQB1*06:03  Germany DKMS - Turkey minority 0.09704,856
 1,050  A*11:01-B*55:01-C*01:02-DRB1*13:01-DQB1*06:03  India East UCBB 0.09642,403
 1,051  A*02:01-B*51:01-C*14:02-DRB1*13:01-DQB1*06:03  Germany DKMS - Turkey minority 0.09604,856
 1,052  A*24:02-B*55:01-C*01:02-DRB1*13:01-DQB1*06:03  India Tamil Nadu 0.09582,492
 1,053  A*33:03-B*35:03-C*04:01-DRB1*13:01-DQB1*06:03  India Tamil Nadu 0.09462,492
 1,054  A*02:01-B*18:01-C*07:01-DRB1*13:01-DQB1*06:03  USA Hispanic pop 2 0.09401,999
 1,055  A*02:01-B*51:01-C*07:01-DRB1*13:01-DQB1*06:03  USA Hispanic pop 2 0.09401,999
 1,056  A*03:01-B*15:01-C*03:03-DRB1*13:01-DQB1*06:03  USA Hispanic pop 2 0.09401,999
 1,057  A*11:01-B*39:01-C*12:03-DRB1*13:01-DQB1*06:03  India North UCBB 0.09405,849
 1,058  A*32:01-B*15:01-C*03:03-DRB1*13:01-DQB1*06:03  USA Hispanic pop 2 0.09401,999
 1,059  A*68:01-B*51:01-C*16:02-DRB1*13:01-DQB1*06:03  India West UCBB 0.09385,829
 1,060  DQA1*01:03-DQB1*06:03-DPA1*02:01-DPB1*14:01  Hong Kong Chinese HKBMDR. DQ and DP 0.09351,064
 1,061  A*02:01-B*44:02-C*05:01-DRB1*13:01-DQB1*06:03-DPB1*02:01  Germany DKMS - German donors 0.09353,456,066
 1,062  A*02:01-B*51:05-C*04:01-DRB1*13:01-DQB1*06:03  Germany DKMS - Turkey minority 0.09304,856
 1,063  A*03:01-B*07:02-C*07:02-DRB1*13:01-DQB1*06:03  Germany DKMS - Turkey minority 0.09304,856
 1,064  DRB1*15:01-DQB1*06:03  USA Hispanic pop 2 0.09301,999
 1,065  A*03:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  India West UCBB 0.09295,829
 1,066  A*11:01-B*52:01-C*12:02-DRB1*13:01-DQB1*06:03  India North UCBB 0.09265,849
 1,067  A*02:01:01-B*51:01:01-C*16:04-DRB1*13:01:01-DQB1*06:03:01-DPB1*04:01:01  Saudi Arabia pop 6 (G) 0.091928,927
 1,068  A*24:02-B*51:01-C*14:02-DRB1*13:01-DQB1*06:03  India North UCBB 0.09165,849
 1,069  A*24:02-B*55:01-C*01:02-DRB1*13:01-DQB1*06:03  India South UCBB 0.091611,446
 1,070  A*33:03-B*44:03-C*07:06-DRB1*13:01-DQB1*06:03  India South UCBB 0.091311,446
 1,071  A*11:01-B*40:06-C*15:02-DRB1*13:01-DQB1*06:03  India South UCBB 0.091011,446
 1,072  DRB1*11:01-DQB1*06:03  USA African American pop 4 0.09102,411
 1,073  A*03:01:01-B*35:03:01-C*04:01:01-DRB1*13:01-DQB1*06:03  Costa Rica Central Valley Mestizo (G) 0.0905221
 1,074  DRB1*04:03-DQB1*06:03  Italy pop 5 0.0900975
 1,075  A*01:01-B*51:01-C*14:02-DRB1*13:01-DQB1*06:03  USA Asian pop 2 0.08901,772
 1,076  A*24:02-B*35:03-C*12:03-DRB1*13:01-DQB1*06:03  USA Asian pop 2 0.08901,772
 1,077  A*24:02-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  USA Asian pop 2 0.08901,772
 1,078  A*24:02-B*18:01-C*12:03-DRB1*13:01-DQB1*06:03  India West UCBB 0.08855,829
 1,079  A*02:06-B*52:01-C*12:02-DRB1*13:01-DQB1*06:03  India Central UCBB 0.08784,204
 1,080  A*02:11-B*40:06-C*15:02-DRB1*13:01-DQB1*06:03  India North UCBB 0.08775,849
 1,081  A*02:01-B*07:02-C*07:02-DRB1*13:01-DQB1*06:03  USA African American pop 4 0.08702,411
 1,082  A*03:01-B*42:01-C*17:01-DRB1*13:01-DQB1*06:03  USA African American pop 4 0.08702,411
 1,083  A*11:01-B*51:01-C*12:09-DRB1*13:01-DQB1*06:03  India North UCBB 0.08705,849
 1,084  A*29-B*44-DRB1*13:01-DQA1*01:03-DQB1*06:03  Brazil Paraná Caucasian 0.0870641
 1,085  A*74:01-B*53:01-C*04:01-DRB1*13:01-DQB1*06:03  USA African American pop 4 0.08702,411
 1,086  DRB1*15:01-DQB1*06:03  USA African American pop 4 0.08702,411
 1,087  A*26:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03-DPB1*02:01  Germany DKMS - German donors 0.08623,456,066
 1,088  A*02:01-B*27:05-C*01:02-DRB1*13:01-DQB1*06:03  Germany DKMS - Italy minority 0.08601,159
 1,089  A*02:01-B*55:01-C*03:03-DRB1*13:01-DQB1*06:03  Germany DKMS - Italy minority 0.08601,159
 1,090  A*03:01-B*18:01-C*07:01-DRB1*13:01-DQB1*06:03  Germany DKMS - Italy minority 0.08601,159
 1,091  A*24:02-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  Germany DKMS - Italy minority 0.08601,159
 1,092  A*24:02-B*51:01-C*15:02-DRB1*13:01-DQB1*06:03  Germany DKMS - Italy minority 0.08601,159
 1,093  A*24:03-B*51:01-C*07:01-DRB1*13:01-DQB1*06:03  Germany DKMS - Italy minority 0.08601,159
 1,094  A*29:01-B*35:02-C*04:01-DRB1*11:04-DQB1*06:03  Germany DKMS - Italy minority 0.08601,159
 1,095  A*31:01-B*35:01-C*14:02-DRB1*13:01-DQB1*06:03  Germany DKMS - Italy minority 0.08601,159
 1,096  A*32:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  Germany DKMS - Italy minority 0.08601,159
 1,097  A*32:01-B*40:02-C*02:02-DRB1*13:01-DQB1*06:03  Germany DKMS - Italy minority 0.08601,159
 1,098  A*68:01-B*51:01-C*15:02-DRB1*13:01-DQB1*06:03  Germany DKMS - Italy minority 0.08601,159
 1,099  A*30:02:01-B*57:03:01-C*18:01-DRB1*13:01-DQB1*06:03  Costa Rica Central Valley Mestizo (G) 0.0860221
 1,100  A*03:01-B*07:02-C*07:02-DRB1*13:01-DQB1*06:03-DPB1*04:02  Russia Karelia 0.08501,075

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 4,129) records   Pages: 11 12 13 14 15 16 17 18 19 20 of 42  


   

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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