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 5,490) records   Pages: 11 12 13 14 15 16 17 18 19 20 of 55  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1,001  A*29:02:01-B*07:02-C*03:03-DRB1*13:01:01-DQB1*06:03:01  England North West 0.2000298
 1,002  A*31:01-B*07:02-C*07:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPA1*01:03-DPB1*04:02  Japan pop 17 0.20003,078
 1,003  A*31:01-B*07:02-C*07:02-DRB1*08:01-DQB1*04:02  England North West 0.2000298
 1,004  A*31:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02:01  England North West 0.2000298
 1,005  A*32:01-B*07:02-C*07:02-DRB1*01:01:01-DQB1*05:01:01  England North West 0.2000298
 1,006  A*32:01-B*07:02-C*07:02-DRB1*16:01  Italy pop 5 0.2000975
 1,007  A*74:03-B*07:02-C*04:01-DRB1*15:01-DQB1*06:02:01  England North West 0.2000298
 1,008  A*24:02-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  USA NMDP Black South or Central American 0.19974,889
 1,009  A*03:01-B*07:02-C*07:02-DRB1*04:04  Germany DKMS - France minority 0.19901,406
 1,010  A*11:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  Germany DKMS - Italy minority 0.19801,159
 1,011  A*26:01-B*07:02-C*07:02-DRB1*01:01  Japan pop 16 0.198018,604
 1,012  A*02:01:01-B*07:02:01-C*07:02:01-DRB1*04:04:01-DQB1*03:19:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 1,013  A*02:02:01-B*07:02:01-C*07:02:01-DRB1*13:01:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*105:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 1,014  A*03:01:01-B*07:02:01-C*07:02:01-DRB1*12:02:02-DQB1*06:03:01-DPA1*02:02:02-DPB1*13:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 1,015  A*03:01:01-B*07:02:01-C*12:03:01-DRB1*11:03:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 1,016  A*03:01:01-B*07:02:01-C*14:03:01-DRB1*15:03:01-DQB1*06:02:01-DPA1*02:06-DPB1*01:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 1,017  A*23:01:01-B*07:02:01-C*07:02:01-DRB1*03:02:01-DQB1*06:03:01-DPA1*02:02:02-DPB1*01:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 1,018  A*24:02:01-B*07:02:01-C*07:02:01-DRB1*13:01:01-DQB1*06:03:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 1,019  A*24:02:01-B*07:02:01-C*07:02:01-DRB1*13:02:01-DQB1*06:02:01-DPA1*02:02:02-DPB1*01:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 1,020  A*24:02:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 1,021  A*26:01:01-B*07:02:01-C*07:02:01-DRB1*01:01:01-DQB1*06:04:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 1,022  A*29:02:01-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 0.1946521
 1,023  A*30:02:01-B*07:02:01-C*07:02:01-DRB1*14:02:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*04:02:01  Brazil Rio de Janeiro Caucasian 0.1946521
 1,024  A*30:04:01-B*07:02:01-C*07:02:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*02:01:01-DPB1*104:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 1,025  A*66:01:01-B*07:02:01-C*15:05:02-DRB1*13:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*02:01:19  Brazil Rio de Janeiro Caucasian 0.1946521
 1,026  A*68:01:02-B*07:02:01-C*07:02:01-DRB1*14:02:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 1,027  A*68:02:01-B*07:02:01-C*07:02:01-DRB1*13:02:01-DQB1*06:04:01-DPA1*02:01:02-DPB1*01:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 1,028  A*24:02:01-B*07:02:01-C*07:02:01-DRB1*14:54:01-DQB1*05:03:01-DPA1*02:01:01-DPB1*09:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 1,029  A*03:02-B*07:02-DRB1*11:04  Israel USSR Jews 0.193045,681
 1,030  A*26:01-B*07:02-C*07:02-DRB1*15:01  Poland DKMS 0.192220,653
 1,031  A*02:01:01-B*07:02:01-C*07:02:01-DRB1*08:01:01-DQB1*04:02:01  Poland BMR 0.192123,595
 1,032  A*02:01-B*07:02-C*07:02-DRB1*04:01  Germany DKMS - United Kingdom minority 0.19201,043
 1,033  A*02:01-B*07:02-DRB1*15:01  Israel USA Jews 0.19206,058
 1,034  A*68:01-B*07:02-C*07:02-DRB1*15:01  Germany DKMS - United Kingdom minority 0.19201,043
 1,035  A*01:01-B*07:02-C*04:01-DRB1*15:03-DQB1*06:02-DPB1*01:01  Panama 0.1900462
 1,036  A*02:01-B*07:02-C*07:01-DRB1*01:02-DQB1*05:01-DPB1*02:01  Panama 0.1900462
 1,037  A*02:02-B*07:02-C*03:04-DRB1*15:03-DQB1*05:02-DPB1*02:01  Panama 0.1900462
 1,038  A*11:01-B*07:02-C*12:03-DRB1*13:01-DQB1*03:02-DPB1*04:01  Panama 0.1900462
 1,039  A*23:01-B*07:02-C*03:04-DRB1*07:01-DQB1*02:01-DPB1*02:01  Panama 0.1900462
 1,040  A*23:01-B*07:02-C*17:01-DRB1*15:01-DQB1*06:02-DPB1*04:01  Panama 0.1900462
 1,041  A*24:02-B*07:02-C*04:01-DRB1*14:01-DQB1*05:03-DPB1*03:01  Panama 0.1900462
 1,042  A*24:02-B*07:02-C*04:01-DRB1*15:01-DQB1*06:03-DPB1*01:01  Panama 0.1900462
 1,043  A*24:02-B*07:02-C*07:01-DRB1*15:01-DQB1*03:01-DPB1*04:02  Panama 0.1900462
 1,044  A*24:02-B*07:02-C*07:02-DRB1*15:01  Germany DKMS - China minority 0.19001,282
 1,045  A*24:02-B*07:02-C*12:03-DRB1*16:01-DQB1*03:01-DPB1*04:02  Panama 0.1900462
 1,046  A*30:01-B*07:02-C*07:10-DRB1*01:03-DQB1*03:02-DPB1*10:01  Panama 0.1900462
 1,047  A*68:01-B*07:02-C*03:03-DRB1*13:02-DQB1*03:02-DPB1*04:02  Panama 0.1900462
 1,048  A*02:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*05:01  Germany DKMS - German donors 0.18893,456,066
 1,049  A*32:01:01-B*07:02:01-C*07:02:01:03-DRB1*15:01:01-DQB1*06:02:01  Russia Nizhny Novgorod, Russians 0.18811,510
 1,050  A*02:01-B*07:02-C*07:02-DRB1*01:01  Germany DKMS - United Kingdom minority 0.18701,043
 1,051  A*03:01:01-B*07:02:01-C*07:02:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.186923,595
 1,052  A*02:01-B*07:02-C*07:02-DRB1*01:01-DQB1*05:01  USA NMDP American Indian South or Central America 0.18615,926
 1,053  A*03:01-B*07:02-DRB1*15:01  Israel Arab pop 2 0.185012,301
 1,054  A*30:01-B*07:02-DRB1*01:02  Israel Ethiopia Jews 0.18505,928
 1,055  A*01:01-B*07:02-C*04:01-DRB1*13:14-DQB1*03:01  Malaysia Peninsular Indian 0.1845271
 1,056  A*01:01-B*07:02-C*07:02-DRB1*10:01-DQB1*02:02  Malaysia Peninsular Indian 0.1845271
 1,057  A*02:11-B*07:02-C*04:03-DRB1*13:01-DQB1*06:03  Malaysia Peninsular Indian 0.1845271
 1,058  A*03:01-B*07:02-C*06:02-DRB1*10:01-DQB1*03:01  Malaysia Peninsular Indian 0.1845271
 1,059  A*03:01-B*07:02-C*07:01-DRB1*15:01-DQB1*05:03  Malaysia Peninsular Indian 0.1845271
 1,060  A*03:01-B*07:02-C*07:02-DRB1*01:01-DQB1*05:02  Malaysia Peninsular Indian 0.1845271
 1,061  A*03:01-B*07:02-C*08:01-DRB1*15:01-DQB1*06:02  Malaysia Peninsular Indian 0.1845271
 1,062  A*11:01-B*07:02-C*07:05-DRB1*15:01-DQB1*06:02  Malaysia Peninsular Indian 0.1845271
 1,063  A*24:02-B*07:02-C*07:01-DRB1*07:01-DQB1*02:02  Malaysia Peninsular Indian 0.1845271
 1,064  A*30:01-B*07:02-C*06:02-DRB1*10:01-DQB1*05:01  Malaysia Peninsular Indian 0.1845271
 1,065  A*68:01-B*07:02-C*07:02-DRB1*13:01-DQB1*06:02  Malaysia Peninsular Indian 0.1845271
 1,066  A*11:01-B*07:02-C*07:02-DRB1*15:01  Germany DKMS - Austria minority 0.18401,698
 1,067  A*01:01:01:01-B*07:02:01-C*07:02:01:03-DRB1*15:01:01-DQB1*06:02:01  Russia Nizhny Novgorod, Russians 0.18391,510
 1,068  A*03:01-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  India Central UCBB 0.18394,204
 1,069  A*02:01-B*07:02-C*07:02-DRB1*15:02-DQB1*06:01  India Tamil Nadu 0.18352,492
 1,070  A*02:01:01-B*07:02:01-C*07:02:01-DRB1*03:01:01-DQB1*02:01:01-DPB1*04:01:01  Saudi Arabia pop 6 (G) 0.183228,927
 1,071  A*03:01-B*07:02-C*07:02-DRB1*01:01-DQB1*05:01  Germany DKMS - Italy minority 0.18301,159
 1,072  A*03:01-B*07:02-DRB1*15:01  Israel YemenJews 0.183015,542
 1,073  A*03:01-B*07:02-C*07:02-DRB1*03:01-DQB1*02:01  Germany DKMS - Italy minority 0.18201,159
 1,074  A*03:01-B*07:02-C*07:02-DRB1*11:04-DQB1*03:01  Germany DKMS - Italy minority 0.18201,159
 1,075  A*23:01-B*07:02-C*07:02-DRB1*15:03-DQB1*06:02  USA NMDP Caribean Indian 0.182014,339
 1,076  A*29:01-B*07:02-DRB1*13:02  Israel USA Jews 0.18206,058
 1,077  A*24:02-B*07:02-C*07:02-DRB1*15:01-DRB5*01:01-DQB1*06:02  USA NMDP Southeast Asian 0.181127,978
 1,078  A*03:01-B*07:02-C*07:02-DRB1*11:04  Germany DKMS - Spain minority 0.18101,107
 1,079  A*03:01-B*07:02-C*07:02-DRB1*13:02  Germany DKMS - France minority 0.18101,406
 1,080  A*31:01-B*07:02-C*07:02  Italy pop 5 0.1800975
 1,081  A*34:02-B*07:02  USA African American pop 4 0.18002,411
 1,082  B*07:02-C*06:02  Italy pop 5 0.1800975
 1,083  B*07:02-C*08:02  Italy pop 5 0.1800975
 1,084  B*07:02-DRB1*13:01  Italy pop 5 0.1800975
 1,085  B*07:02-DRB1*14:01  Italy pop 5 0.1800975
 1,086  B*07:02-DRB1*16:01  Italy pop 5 0.1800975
 1,087  A*01:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  India Central UCBB 0.17924,204
 1,088  A*02:01-B*07:02-C*07:02-DRB1*04:01  Germany DKMS - Austria minority 0.17901,698
 1,089  A*26:01-B*07:02  USA Hispanic pop 2 0.17901,999
 1,090  A*02:01-B*07:02-DRB1*11:04  Israel Argentina Jews 0.17804,307
 1,091  A*24:02-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  USA Asian pop 2 0.17801,772
 1,092  A*11:01-B*07:02  USA African American pop 4 0.17702,411
 1,093  A*30:01-B*07:02-DRB1*04:05  Israel Ethiopia Jews 0.17705,928
 1,094  A*29:01-B*07:02-DRB1*16:01  Israel Iraq Jews 0.175013,270
 1,095  A*24:02-B*07:02-C*07:02-DRB1*15:01-DRB5*01:01-DQB1*06:02  USA NMDP South Asian Indian 0.1746185,391
 1,096  A*03:01:01-B*07:02:01-C*07:02:01-DRB1*07:01:01-DQB1*03:03:02  Poland BMR 0.174023,595
 1,097  A*03:01-B*07:02-C*07:02-DRB1*04:02-DQB1*03:02  Germany DKMS - Italy minority 0.17301,159
 1,098  A*11:01:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01  China Zhejiang Han 0.17301,734
 1,099  A*68:01-B*07:02-DRB1*12:01  Israel Bukhara Jews 0.17302,317
 1,100  A*24:02-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  USA NMDP Caribean Indian 0.172114,339

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 5,490) records   Pages: 11 12 13 14 15 16 17 18 19 20 of 55  


   

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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