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 901 to 1,000 (from 2,121) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 22  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 901  A*02:01:01:01-B*48:01:01-C*08:03:01-DRB1*12:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.09931,510
 902  A*24:02:01:01-B*48:01:01-C*08:01:01-DRB1*04:01:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.09931,510
 903  A*02:01-B*48:01-C*08:03-DRB1*15:01  Germany DKMS - China minority 0.09801,282
 904  A*11:01-B*48:01-C*08:03-DRB1*15:01  Germany DKMS - China minority 0.09801,282
 905  A*24:07-B*48:01  USA Asian pop 2 0.09801,772
 906  A*02:11:01-B*48:02:01-C*04:01:01-DRB1*04:11:01-DQB1*04:02:01  Costa Rica Central Valley Mestizo (G) 0.0947221
 907  A*02:01-B*48:01-C*08:01-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.09401,999
 908  A*02:01-B*48:01-C*08:01-DRB1*14:02-DQB1*03:01  USA Hispanic pop 2 0.09401,999
 909  A*02:06-B*48:01-C*08:01-DRB1*14:02-DQB1*03:01  USA Hispanic pop 2 0.09401,999
 910  A*02:06-B*48:01-C*08:01-DRB1*14:06-DQB1*03:01  USA Hispanic pop 2 0.09401,999
 911  A*24:02-B*48:01-C*08:03-DRB1*04:05  Japan pop 16 0.094018,604
 912  A*24:25-B*48:01-C*08:01-DRB1*04:04-DQB1*03:02  USA Hispanic pop 2 0.09401,999
 913  A*31:01-B*48:01-C*08:03-DRB1*14:02-DQB1*03:01  USA Hispanic pop 2 0.09401,999
 914  A*01-B*48-DRB1*04-DQB1*03:02  Mexico Veracruz Rural 0.0924539
 915  A*02-B*48-DRB1*08-DQB1*04  Mexico Veracruz Rural 0.0924539
 916  A*24-B*48-DRB1*08-DQB1*04  Mexico Veracruz Rural 0.0924539
 917  A*31-B*48-DRB1*16-DQB1*03:01  Mexico Veracruz Rural 0.0924539
 918  A*02:01-B*48:01-DRB1*11:04  Israel USSR Jews 0.091845,681
 919  A*02:01-B*48:01-C*08:01-DRB1*08:02-DQB1*04:02  Colombia Bogotá Cord Blood 0.09051,463
 920  A*24:02-B*48:01-C*08:01  Italy pop 5 0.0900975
 921  A*02-B*48-DRB1*04  Brazil Para State 0.08975,000
 922  A*02:01-B*48:01-C*08:01-DRB1*11:01-DQB1*03:01  USA Asian pop 2 0.08901,772
 923  A*02:01-B*48:01-C*08:01-DRB1*12:01-DQB1*03:01  USA Asian pop 2 0.08901,772
 924  A*24:02-B*48:01-C*08:01-DRB1*12:01-DQB1*03:03  USA Asian pop 2 0.08901,772
 925  A*24:02-B*48:01-C*08:01-DRB1*14:01-DQB1*05:02  USA Asian pop 2 0.08901,772
 926  A*24:02-B*48:01-C*08:01-DRB1*15:01-DQB1*06:02  USA Asian pop 2 0.08901,772
 927  A*24:02-B*48:01-C*08:01-DRB1*15:02-DQB1*05:02  USA Asian pop 2 0.08901,772
 928  A*24:02-B*48:01-C*08:03-DRB1*09:01-DQB1*03:03  USA Asian pop 2 0.08901,772
 929  A*24:02-B*48:01-C*08:03-DRB1*15:01-DQB1*03:01  USA Asian pop 2 0.08901,772
 930  A*24:02-B*48:03-C*08:01-DRB1*12:02-DQB1*03:01  USA Asian pop 2 0.08901,772
 931  A*33:03-B*48:04-C*08:01-DRB1*12:02-DQB1*03:01  USA Asian pop 2 0.08901,772
 932  A*02-B*48-DRB1*13  Brazil Para Cord Blood Unit 0.0884841
 933  A*02-B*48-DRB1*14:06  Chile Santiago 0.0874920
 934  A*11:01-B*48:01-C*08:01-DRB1*01:01-DQB1*05:01  Germany DKMS - Italy minority 0.08601,159
 935  A*24-B*48-DRB1*08-DQB1*04  Ecuador Mixed Ancestry 0.08531,173
 936  A*31-B*48-DRB1*04-DQB1*03:02  Ecuador Mixed Ancestry 0.08531,173
 937  A*31-B*48-DRB1*04-DQB1*03:02  Mexico Jalisco Rural 0.0853585
 938  A*68-B*48-DRB1*04-DQB1*03:01  Mexico Jalisco Rural 0.0853585
 939  A*68-B*48-DRB1*04-DQB1*03:02  Ecuador Mixed Ancestry 0.08531,173
 940  A*68-B*48-DRB1*16-DQB1*03:01  Mexico Jalisco Rural 0.0853585
 941  A*24:02-B*48:01-C*08:01-DRB1*15:01-DQB1*06:02  Colombia Bogotá Cord Blood 0.08401,463
 942  A*02:06-B*48:01-DRB1*04:03  Israel Poland Jews 0.082913,871
 943  A*24-B*48-DRB1*08  Brazil Para State 0.08225,000
 944  A*24:02-B*48:01-C*08:01-DRB1*04:01-DQB1*03:01  Germany DKMS - Turkey minority 0.08204,856
 945  A*02-B*48-DRB1*04  Brazil South East Cord Blood 0.081011,409
 946  A*33:03-B*48:01  USA Asian pop 2 0.08001,772
 947  B*48:04-C*08:01  USA Asian pop 2 0.08001,772
 948  A*24-B*48-DRB1*09  Brazil Para State 0.07985,000
 949  A*24:02-B*48:01-C*15:02-DRB1*15:01  Hong Kong Chinese BMDR 0.07937,595
 950  A*02:01-B*48:01-DRB1*04:04  Israel Argentina Jews 0.07844,307
 951  A*02:06-B*48:01-C*08:01-DRB1*09:01  Germany DKMS - China minority 0.07801,282
 952  A*02:06-B*48:01-C*08:01-DRB1*14:05  Germany DKMS - China minority 0.07801,282
 953  A*02-B*48-DRB1*09:01-DQA1*03:01-DQB1*03:02  Brazil Paraná Caucasian 0.0780641
 954  A*11-B*48-DRB1*16:02-DQA1*05:05-DQB1*03:01  Brazil Paraná Caucasian 0.0780641
 955  A*24:02-B*48:01-C*08:01-DRB1*16:02  Germany DKMS - China minority 0.07801,282
 956  A*24:02-B*48:03  USA Asian pop 2 0.07801,772
 957  A*26:01-B*48:01-C*08:01-DRB1*11:01  Germany DKMS - China minority 0.07801,282
 958  A*26:01-B*48:01-C*08:01-DRB1*13:02  Germany DKMS - China minority 0.07801,282
 959  A*34-B*48-DRB1*09:01-DQA1*03:02-DQB1*03:03  Brazil Paraná Caucasian 0.0780641
 960  A*68-B*48-DRB1*09:01-DQA1*01:02-DQB1*03:03  Brazil Paraná Caucasian 0.0780641
 961  A*26:02-B*48:01  USA Asian pop 2 0.07601,772
 962  A*24:02-B*48:01-C*08:01-DRB1*14:02-DQB1*03:01  Colombia Bogotá Cord Blood 0.07561,463
 963  A*31-B*48-DRB1*04-DQB1*03:02  Mexico Puebla, Puebla city 0.07521,994
 964  B*48:03-C*08:01  USA Hispanic pop 2 0.07501,999
 965  A*02:01-B*48:01-DRB1*15:01  Hong Kong Chinese cord blood registry 0.07443,892
 966  A*26:01-B*48:01-DRB1*14:54  Hong Kong Chinese cord blood registry 0.07393,892
 967  A*11:01-B*48:01-C*08:03-DRB1*15:01  Japan pop 16 0.073018,604
 968  A*24:02-B*48:01-C*08:01-DRB1*14:54  Japan pop 16 0.073018,604
 969  A*24:02-B*48:01-C*08:01-DRB1*15:01  Japan pop 16 0.073018,604
 970  A*24:02-B*48:01-DRB1*04:05  Hong Kong Chinese cord blood registry 0.07133,892
 971  A*02:06-B*48:01-DRB1*11:01  Israel Poland Jews 0.070813,871
 972  A*01-B*48-DRB1*15  Iran pop 4 0.0700855
 973  A*02:03-B*48:04-C*08:01-DRB1*15:02-DQA1*05:01-DQB1*03:01-DPB1*04:02  Sri Lanka Colombo 0.0700714
 974  A*02:11-B*48:04-C*08:01-DRB1*11:01-DQA1*05:01-DQB1*03:01-DPB1*13:01  Sri Lanka Colombo 0.0700714
 975  A*24:02-B*48:01-C*08:01-DRB1*07:01-DQA1*02:01-DQB1*03:03-DPB1*14:01  Sri Lanka Colombo 0.0700714
 976  A*24-B*48-DRB1*07  Iran pop 4 0.0700855
 977  A*24-B*48-DRB1*15  Iran pop 4 0.0700855
 978  A*32:01-B*48:04-C*08:01-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*04:01  Sri Lanka Colombo 0.0700714
 979  A*02:01-B*48:01-C*03:03-DRB1*14:54-DQA1*01:04-DQB1*05:03-DPA1*02:02-DPB1*05:01  Japan pop 17 0.07003,078
 980  A*02:01-B*48:01-C*08:01-DRB1*04:07-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*02:01  Japan pop 17 0.07003,078
 981  A*02:01-B*48:01-C*08:03-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*01:03-DPB1*02:01  Japan pop 17 0.07003,078
 982  A*24:02-B*48:01-C*08:01-DRB1*04:05-DQA1*03:03-DQB1*04:01-DPA1*02:02-DPB1*05:01  Japan pop 17 0.07003,078
 983  A*24:02-B*48:01-C*08:01-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:02-DPB1*05:01  Japan pop 17 0.07003,078
 984  A*24:02-B*48:01-C*08:01-DRB1*14:54-DQA1*01:04-DQB1*05:03-DPA1*02:02-DPB1*05:01  Japan pop 17 0.07003,078
 985  A*24:02-B*48:01-C*08:01-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*02:02-DPB1*05:01  Japan pop 17 0.07003,078
 986  A*24:02-B*48:01-C*08:03-DRB1*15:01-DQA1*05:05-DQB1*03:01-DPA1*02:02-DPB1*05:01  Japan pop 17 0.07003,078
 987  A*31:01-B*48:01-C*04:01-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:02-DPB1*05:01  Japan pop 17 0.07003,078
 988  A*31-B*48-DRB1*14  Brazil Para Cord Blood Unit 0.0696841
 989  A*11:01-B*48:01-DRB1*09:01  Hong Kong Chinese cord blood registry 0.06943,892
 990  A*24:02-B*48:01-C*08:01-DRB1*04:07-DQB1*03:02  Colombia Bogotá Cord Blood 0.06841,463
 991  A*31:01-B*48:01-C*08:03-DRB1*14:02-DQB1*03:01  Colombia Bogotá Cord Blood 0.06841,463
 992  A*68:02-B*48:01-C*08:01-DRB1*08:02-DQB1*04:02  Colombia Bogotá Cord Blood 0.06841,463
 993  A*02:06-B*48:03-DRB1*12:02  Hong Kong Chinese cord blood registry 0.06803,892
 994  A*24-B*48-DRB1*04  Brazil Para Cord Blood Unit 0.0669841
 995  A*24-B*48-DRB1*14  Brazil Para Cord Blood Unit 0.0669841
 996  A*02-B*48-DRB1*08-DQB1*03:01  Mexico Mexico City North 0.0664751
 997  A*31-B*48-DRB1*16-DQB1*03:01  Mexico Mexico City North 0.0664751
 998  A*68-B*48-DRB1*16-DQB1*03:03  Mexico Mexico City North 0.0664751
 999  A*01:01:01:01-B*48:01:01-C*08:03:01-DRB1*09:01:02-DQB1*03:03:02  Russia Nizhny Novgorod, Russians 0.06621,510
 1,000  A*02:01:01:01-B*48:01:01-C*08:01:01-DRB1*09:01:02-DQB1*03:03:02  Russia Nizhny Novgorod, Russians 0.06621,510

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 901 to 1,000 (from 2,121) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 22  


   

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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