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 801 to 900 (from 21,763) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 218  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 801  A*02-B*07-C*07  Venezuela Colonia Tovar 1.200086
 802  A*11:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  Ireland South 1.2000250
 803  A*11:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*04:01  Ireland South 1.2000250
 804  A*11:01-B*13:01-C*07:02  China Guizhou Province Miao pop 2 1.200085
 805  A*11:01-B*38:02-C*07:02  China Canton Han 1.2000264
 806  A*11:01-B*40:01-C*07:02  China Guizhou Province Miao pop 2 1.200085
 807  A*24:02-B*07:02-C*07:02  Ireland Northern 1.20001,000
 808  A*24:02-C*07:02  Taiwan Hakka 1.200055
 809  A*26:01-C*07:02  Taiwan Saisiat 1.200051
 810  A*33:01-B*58:01-C*07:02  China Guizhou Province Miao pop 2 1.200085
 811  A*68:01-B*39:09-C*07:02-DRB1*04:03-DQA1*03:01:01-DQB1*03:02-DPA1*01-DPB1*04:02  Venezuela Sierra de Perija Yucpa 1.200073
 812  B*07:02-C*07:02  India Mumbai Maratha 1.200091
 813  B*08:01-C*07:01-DRB1*04:04-DQB1*03:02  Ireland South 1.2000250
 814  B*18:01-C*07:01  Ireland Northern 1.20001,000
 815  B*18:01-C*07:01  Uganda Kampala 1.2000161
 816  B*18:01-C*07:04  Uganda Kampala 1.2000161
 817  B*57:01-C*07:01  USA African American 1.2000252
 818  B*39:01-C*07:02  USA Asian pop 2 1.19401,772
 819  A*02:03-B*38:02-C*07:02-DRB1*16:02  Hong Kong Chinese BMDR 1.19277,595
 820  A*02:01-B*07:02-C*07:02-DRB1*15:01  Germany DKMS - Spain minority 1.18901,107
 821  A*03:01-B*07:02-C*07:02-DRB1*15:01-DRB5*01:01-DQB1*06:02  USA NMDP Caribean Hispanic 1.1835115,374
 822  A*01-B*08-C*07:01-DRB1*03-DQB1*02  Russia North Ossetian 1.1800127
 823  A*01-B*49-C*07:01-DRB1*13-DQB1*06  Russia North Ossetian 1.1800127
 824  A*02:01-B*18:01-C*07:01-DRB1*11:04-DQB1*03:01  Italy pop 5 1.1800975
 825  A*02-B*07-C*07:02-DRB1*13-DQB1*06  Russia North Ossetian 1.1800127
 826  A*02-B*51-C*07:02-DRB1*13-DQB1*06  Russia North Ossetian 1.1800127
 827  A*24-B*18-C*07:01-DRB1*11-DQB1*03  Russia North Ossetian 1.1800127
 828  A*30-B*49-C*07:01-DRB1*15-DQB1*06  Russia North Ossetian 1.1800127
 829  A*26:01-B*08:01-C*07:02-DRB1*03:01-DRB3*02:02-DQB1*02:01  USA NMDP Southeast Asian 1.178027,978
 830  A*02:01:01-B*39:01:01-C*07:02:01-DRB1*01:01:01-DQB1*05:01:01-DPA1*02:06-DPB1*05:01:01  Brazil Rio de Janeiro Parda 1.1765170
 831  A*23:05-B*07:02:01-C*07:02:01-DRB1*15:03:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*18:01:01  Brazil Rio de Janeiro Parda 1.1765170
 832  A*03:01:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*05:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Parda 1.1765170
 833  A*01-B*49-C*07-DRB1*13  Macedonia MBMDR - Albanian 1.1719128
 834  A*03-B*07-C*07-DRB1*13  Macedonia MBMDR - Albanian 1.1719128
 835  A*24-B*07-C*07-DRB1*15  Macedonia MBMDR - Albanian 1.1719128
 836  A*03:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  Italy pop 5 1.1700975
 837  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*04:01:01  Brazil Rio de Janeiro Caucasian 1.1674521
 838  A*02:11-B*44:03-C*07:06-DRB1*07:01-DQB1*02:02  India Central UCBB 1.15544,204
 839  A*24:02-B*07:02-C*07:02-DRB1*15:01  Germany DKMS - United Kingdom minority 1.15401,043
 840  A*03:01:01:01-B*07:02:01-C*07:02:01:03-DRB1*15:01:01-DQB1*06:02:01  Russia Bashkortostan, Tatars 1.1501192
 841  A*24:02:01-B*44:03:02-C*07:06-DRB1*07:01:01-DQB1*02:02:01  India Karnataka Kannada Speaking 1.1490174
 842  A*24:02-B*39:05-C*07:02-DRB1*04:07-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*04:02  Mexico Chiapas Lacandon Mayans 1.1468218
 843  A*02-B*07-C*07-DRB1*15-DQA1*01-DQB1*06  Spain, Castilla y Leon, Northwest, 1.14031,743
 844  A*02-B*38-C*07-DRB1*04  Myanmar Kayin 1.136044
 845  A*02-B*38-C*07-DRB1*04-DQB1*03-DPB1*09  Myanmar Kayin 1.136044
 846  A*02-B*52-C*07-DRB1*04-DQB1*03-DPB1*02  Myanmar Kayin 1.136044
 847  A*02-B*52-C*07-DRB1*04-DQB1*03-DPB1*09  Myanmar Kayin 1.136044
 848  A*03-B*39-C*07-DRB1*07  Myanmar Kayin 1.136044
 849  A*03-B*39-C*07-DRB1*07-DQB1*03-DPB1*21  Myanmar Kayin 1.136044
 850  A*11-B*35-C*07-DRB1*01  Myanmar Kayin 1.136044
 851  A*11-B*35-C*07-DRB1*14-DQB1*05-DPB1*03  Myanmar Kayin 1.136044
 852  A*11-B*56-C*07-DRB1*15-DQB1*02-DPB1*21  Myanmar Kayin 1.136044
 853  A*24-B*52-C*07-DRB1*04-DQB1*03-DPB1*05  Myanmar Kayin 1.136044
 854  A*24-B*52-C*07-DRB1*04-DQB1*05-DPB1*02  Myanmar Kayin 1.136044
 855  A*33-B*56-C*07-DRB1*15  Myanmar Kayin 1.136044
 856  A*03:01:01-B*07:02:01-C*07:02:01-DRB1*15:01-DQB1*06:02  Costa Rica Central Valley Mestizo (G) 1.1312221
 857  A*02:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*04:01  Germany DKMS - German donors 1.12793,456,066
 858  A*01:01-B*08:01-C*07:01-DRB1*03:01-DRB3*01:01-DQB1*02:01  USA NMDP African American pop 2 1.1238416,581
 859  A*33:03:01-B*44:03:02-C*07:06-DRB1*07:01:01-DQB1*02:02:01  India Andhra Pradesh Telugu Speaking 1.1208186
 860  A*24:02-C*07:02  Italy pop 5 1.1200975
 861  A*02:01:01-B*07:02:01-C*07:02:01-DRB1*01:01  South Africa Caucasians 1.1100102
 862  A*02:01:01-B*07:02:01-C*07:02:01-DRB1*01:03  South Africa Caucasians 1.1100102
 863  A*02:01:01-B*08:01-C*07:01-DRB1*04:01  South Africa Caucasians 1.1100102
 864  A*03:01:01-B*07:02:01-C*07:02:01-DRB1*04:04  South Africa Caucasians 1.1100102
 865  A*03:01:01-B*18:01:01-C*07:01-DRB1*11:04  South Africa Caucasians 1.1100102
 866  A*33:01-B*44:03-C*07:01-DRB1*07:01-DQB1*02:02  Malaysia Peninsular Indian 1.1070271
 867  A*33:01-B*44:03-C*07:01-DRB1*07:01-DQB1*02:02  Malaysia Peninsular Malay 1.1041951
 868  A*01:01-B*07:02-C*07:02  Ireland South 1.1000250
 869  A*01:01-B*07:02-C*07:02  USA San Francisco Caucasian 1.1000220
 870  A*01:01-B*08:01-C*07:01  USA Hispanic 1.1000234
 871  A*01-B*07-C*07  USA San Francisco Caucasian 1.1000220
 872  A*02:01:01-B*08:01-C*07:02-DRB1*03:01  Iran Baloch 1.1000100
 873  A*02:05-B*18:01-C*07:04  Kenya Luo 1.1000265
 874  A*03:01-B*07:02-C*07:02  USA North American Native 1.1000187
 875  A*03-B*07-C*07-DRB1*15/16-DQB1*06  Spain Majorca 1.1000407
 876  A*11:01:01-B*08:01-C*07:02-DRB1*03:02  Iran Baloch 1.1000100
 877  A*11:01-B*07:02-C*07:02  Ireland Northern 1.10001,000
 878  A*11:01-B*46:01-C*07:02  China Guizhou Province Bouyei 1.1000109
 879  A*11:01-C*07:02  Philippines Ivatan 1.100050
 880  A*24:02-B*07:02-C*07:02  USA Asian 1.1000358
 881  A*24:02-B*40:01-C*07:02  China Guizhou Province Bouyei 1.1000109
 882  A*26:01-B*40:06-C*07:02-DRB1*03:01  Iran Baloch 1.1000100
 883  A*33:03-B*44:03-C*07:01  USA Asian 1.1000358
 884  A*33:03-B*44:03-C*07:01  China Canton Han 1.1000264
 885  B*15:01-C*07:02  USA Asian 1.1000358
 886  B*38:02-C*07:02  Taiwan Pazeh 1.100055
 887  B*67:01-C*07:02  Japan Central 1.1000371
 888  A*11:01:01-C*07:02:01-DRB1*08:03:02  China Jingpo Minority 1.0980105
 889  A*02:01:01-B*08:01:01-C*07:01:01  England Blood Donors of Mixed Ethnicity 1.0897519
 890  A*01:01:01-B*07:02:01-C*07:02:01  England Blood Donors of Mixed Ethnicity 1.0823519
 891  A*02:01:01-B*07:02:01-C*07:02:01-DRB1*15:01  Nicaragua Mestizo (G) 1.0753155
 892  A*02:06-B*39:05-C*07:02-DRB1*04:07-DQB1*03:02  Mexico Mexico City Mestizo pop 2 1.0700234
 893  A*68:03-B*39:05-C*07:02-DRB1*04:07-DQB1*03:02  Mexico Mexico City Mestizo pop 2 1.0700234
 894  B*39:05-C*07:02-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo pop 2 1.0700234
 895  A*02:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*04:01  Russia Karelia 1.06561,075
 896  A*02:01-B*35:01-C*07:02-DRB1*04:07-DQA1*03:01-DQB1*03:02  Mexico Chichen Itza Maya (prehispanic) 1.063847
 897  A*02:01-B*35:01-C*07:02-DRB1*08:02-DQA1*04:01-DQB1*04:02  Mexico Chichen Itza Maya (prehispanic) 1.063847
 898  A*02:06-B*35:01-C*07:02-DRB1*04:07-DQA1*03:01-DQB1*03:02  Mexico Chichen Itza Maya (prehispanic) 1.063847
 899  A*02:06-B*39:05-C*07:02-DRB1*04:07-DQA1*03:01-DQB1*03:02  Mexico Chichen Itza Maya (prehispanic) 1.063847
 900  A*24:02-B*35:01-C*07:02-DRB1*04:07-DQA1*03:01-DQB1*03:02  Mexico Chichen Itza Maya (prehispanic) 1.063847

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 801 to 900 (from 21,763) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 218  


   

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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