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 2,297) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 23  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 901  A*24-B*48-DRB1*11-DQB1*03:01  Mexico Oaxaca Rural 0.1027485
 902  A*31-B*48-DRB1*08-DQB1*04  Mexico Oaxaca Rural 0.1027485
 903  A*68-B*48-DRB1*08-DQB1*04  Mexico Oaxaca Rural 0.1027485
 904  A*24:02-B*48:01-C*08:01-DRB1*12:01-DQB1*03:01  Germany DKMS - Turkey minority 0.10104,856
 905  A*24-B*48-DRB1*16-DQB1*03:01  Mexico Puebla, Puebla city 0.10021,994
 906  A*02:01-B*48:01-DRB1*11:04  Israel USA Jews 0.10006,058
 907  A*02-B*48-DRB1*11:01  USA NMDP Asian and Pacific Islander 0.1000359,423
 908  A*02-B*48-DRB1*14:02  USA NMDP Hispanic 0.1000449,844
 909  A*11-B*48-DRB1*11:01  USA NMDP Asian and Pacific Islander 0.1000359,423
 910  A*24:02-B*48:01-C*08:03-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*01:03-DPB1*02:01  Japan pop 17 0.10003,078
 911  A*24:02-B*48:01-C*12:03-DRB1*08:02  Italy pop 5 0.1000975
 912  A*24-B*48-DRB1*04:04  USA NMDP Hispanic 0.1000449,844
 913  A*24-B*48-DRB1*11:01  USA NMDP Asian and Pacific Islander 0.1000359,423
 914  A*26:01-B*48:01-C*08:01-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*02:01  Japan pop 17 0.10003,078
 915  A*26-B*48-DRB1*12  Russia Moscow Pop 2 0.10002,000
 916  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
 917  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
 918  A*02:01-B*48:01-C*08:03-DRB1*15:01  Germany DKMS - China minority 0.09801,282
 919  A*11:01-B*48:01-C*08:03-DRB1*15:01  Germany DKMS - China minority 0.09801,282
 920  A*24:07-B*48:01  USA Asian pop 2 0.09801,772
 921  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
 922  A*02:01-B*48:01-C*08:01-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.09401,999
 923  A*02:01-B*48:01-C*08:01-DRB1*14:02-DQB1*03:01  USA Hispanic pop 2 0.09401,999
 924  A*02:06-B*48:01-C*08:01-DRB1*14:02-DQB1*03:01  USA Hispanic pop 2 0.09401,999
 925  A*02:06-B*48:01-C*08:01-DRB1*14:06-DQB1*03:01  USA Hispanic pop 2 0.09401,999
 926  A*24:02-B*48:01-C*08:03-DRB1*04:05  Japan pop 16 0.094018,604
 927  A*24:25-B*48:01-C*08:01-DRB1*04:04-DQB1*03:02  USA Hispanic pop 2 0.09401,999
 928  A*31:01-B*48:01-C*08:03-DRB1*14:02-DQB1*03:01  USA Hispanic pop 2 0.09401,999
 929  A*01-B*48-DRB1*04-DQB1*03:02  Mexico Veracruz Rural 0.0924539
 930  A*02-B*48-DRB1*08-DQB1*04  Mexico Veracruz Rural 0.0924539
 931  A*24-B*48-DRB1*08-DQB1*04  Mexico Veracruz Rural 0.0924539
 932  A*31-B*48-DRB1*16-DQB1*03:01  Mexico Veracruz Rural 0.0924539
 933  A*02:01-B*48:01-DRB1*11:04  Israel USSR Jews 0.091845,681
 934  A*02:01-B*48:01-C*08:01-DRB1*08:02-DQB1*04:02  Colombia Bogotá Cord Blood 0.09051,463
 935  A*24:02-B*48:01-C*08:01  Italy pop 5 0.0900975
 936  A*02-B*48-DRB1*04  Brazil Para State 0.08975,000
 937  A*02:01-B*48:01-C*08:01-DRB1*11:01-DQB1*03:01  USA Asian pop 2 0.08901,772
 938  A*02:01-B*48:01-C*08:01-DRB1*12:01-DQB1*03:01  USA Asian pop 2 0.08901,772
 939  A*24:02-B*48:01-C*08:01-DRB1*12:01-DQB1*03:03  USA Asian pop 2 0.08901,772
 940  A*24:02-B*48:01-C*08:01-DRB1*14:01-DQB1*05:02  USA Asian pop 2 0.08901,772
 941  A*24:02-B*48:01-C*08:01-DRB1*15:01-DQB1*06:02  USA Asian pop 2 0.08901,772
 942  A*24:02-B*48:01-C*08:01-DRB1*15:02-DQB1*05:02  USA Asian pop 2 0.08901,772
 943  A*24:02-B*48:01-C*08:03-DRB1*09:01-DQB1*03:03  USA Asian pop 2 0.08901,772
 944  A*24:02-B*48:01-C*08:03-DRB1*15:01-DQB1*03:01  USA Asian pop 2 0.08901,772
 945  A*24:02-B*48:03-C*08:01-DRB1*12:02-DQB1*03:01  USA Asian pop 2 0.08901,772
 946  A*33:03-B*48:04-C*08:01-DRB1*12:02-DQB1*03:01  USA Asian pop 2 0.08901,772
 947  A*02-B*48-DRB1*13  Brazil Para Cord Blood Unit 0.0884841
 948  A*02-B*48-DRB1*14:06  Chile Santiago 0.0874920
 949  A*11:01-B*48:01-C*08:01-DRB1*01:01-DQB1*05:01  Germany DKMS - Italy minority 0.08601,159
 950  A*24:02-B*48:01-C*08:03-DRB1*16:02-DQB1*05:02  India North UCBB 0.08555,849
 951  A*24-B*48-DRB1*08-DQB1*04  Ecuador Mixed Ancestry 0.08531,173
 952  A*31-B*48-DRB1*04-DQB1*03:02  Ecuador Mixed Ancestry 0.08531,173
 953  A*31-B*48-DRB1*04-DQB1*03:02  Mexico Jalisco Rural 0.0853585
 954  A*68-B*48-DRB1*04-DQB1*03:01  Mexico Jalisco Rural 0.0853585
 955  A*68-B*48-DRB1*04-DQB1*03:02  Ecuador Mixed Ancestry 0.08531,173
 956  A*68-B*48-DRB1*16-DQB1*03:01  Mexico Jalisco Rural 0.0853585
 957  A*24:02-B*48:01-C*08:01-DRB1*15:01-DQB1*06:02  Colombia Bogotá Cord Blood 0.08401,463
 958  A*02:06-B*48:01-DRB1*04:03  Israel Poland Jews 0.082913,871
 959  A*24-B*48-DRB1*08  Brazil Para State 0.08225,000
 960  A*24:02-B*48:01-C*08:01-DRB1*04:01-DQB1*03:01  Germany DKMS - Turkey minority 0.08204,856
 961  A*02-B*48-DRB1*04  Brazil South East Cord Blood 0.081011,409
 962  A*33:03-B*48:01  USA Asian pop 2 0.08001,772
 963  B*48:04-C*08:01  USA Asian pop 2 0.08001,772
 964  A*24-B*48-DRB1*09  Brazil Para State 0.07985,000
 965  A*24:02-B*48:01-C*15:02-DRB1*15:01  Hong Kong Chinese BMDR 0.07937,595
 966  A*02:01-B*48:01-DRB1*04:04  Israel Argentina Jews 0.07844,307
 967  A*02:06-B*48:01-C*08:01-DRB1*09:01  Germany DKMS - China minority 0.07801,282
 968  A*02:06-B*48:01-C*08:01-DRB1*14:05  Germany DKMS - China minority 0.07801,282
 969  A*02-B*48-DRB1*09:01-DQA1*03:01-DQB1*03:02  Brazil Paraná Caucasian 0.0780641
 970  A*11-B*48-DRB1*16:02-DQA1*05:05-DQB1*03:01  Brazil Paraná Caucasian 0.0780641
 971  A*24:02-B*48:01-C*08:01-DRB1*16:02  Germany DKMS - China minority 0.07801,282
 972  A*24:02-B*48:03  USA Asian pop 2 0.07801,772
 973  A*26:01-B*48:01-C*08:01-DRB1*11:01  Germany DKMS - China minority 0.07801,282
 974  A*26:01-B*48:01-C*08:01-DRB1*13:02  Germany DKMS - China minority 0.07801,282
 975  A*34-B*48-DRB1*09:01-DQA1*03:02-DQB1*03:03  Brazil Paraná Caucasian 0.0780641
 976  A*68-B*48-DRB1*09:01-DQA1*01:02-DQB1*03:03  Brazil Paraná Caucasian 0.0780641
 977  A*26:02-B*48:01  USA Asian pop 2 0.07601,772
 978  A*24:02-B*48:01-C*08:01-DRB1*14:02-DQB1*03:01  Colombia Bogotá Cord Blood 0.07561,463
 979  A*31-B*48-DRB1*04-DQB1*03:02  Mexico Puebla, Puebla city 0.07521,994
 980  B*48:03-C*08:01  USA Hispanic pop 2 0.07501,999
 981  A*02:01-B*48:01-DRB1*15:01  Hong Kong Chinese cord blood registry 0.07443,892
 982  A*26:01-B*48:01-DRB1*14:54  Hong Kong Chinese cord blood registry 0.07393,892
 983  A*11:01-B*48:01-C*08:03-DRB1*15:01  Japan pop 16 0.073018,604
 984  A*24:02-B*48:01-C*08:01-DRB1*14:54  Japan pop 16 0.073018,604
 985  A*24:02-B*48:01-C*08:01-DRB1*15:01  Japan pop 16 0.073018,604
 986  A*24:02-B*48:01-DRB1*04:05  Hong Kong Chinese cord blood registry 0.07133,892
 987  A*02:06-B*48:01-DRB1*11:01  Israel Poland Jews 0.070813,871
 988  A*01-B*48-DRB1*15  Iran pop 4 0.0700855
 989  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
 990  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
 991  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
 992  A*24-B*48-DRB1*07  Iran pop 4 0.0700855
 993  A*24-B*48-DRB1*15  Iran pop 4 0.0700855
 994  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
 995  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
 996  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
 997  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
 998  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
 999  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
 1,000  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

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 2,297) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 23  


   

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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