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 101 to 200 (from 2,483) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 25  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 101  A*29-B*44-DRB1*07-DQB1*02  Mexico Chihuahua Chihuahua City 2.1008119
 102  A*29:02-B*44:03-DRB1*07:01  Ireland Northern 2.10001,000
 103  A*29-B*44-DRB1*07  Portugal Guarda 2.1000797
 104  A*29-B*44-DRB1*07  Portugal Braga 2.10001,971
 105  A*29-B*44-DRB1*07-DQB1*02  Mexico Chihuahua Rural 2.0921236
 106  A*33:03:01-B*44:03:02-C*07:01:01-DRB1*07:01:01  China Jingpo Minority 2.0830105
 107  A*33:03:01-B*44:03:02-DRB1*07:01:01  China Jingpo Minority 2.0830105
 108  B*44:03:02-C*07:01:01-DRB1*07:01:01  China Jingpo Minority 2.0830105
 109  B*44:03:02-DRB1*07:01:01  China Jingpo Minority 2.0830105
 110  A*29-B*44-DRB1*07-DQB1*02  Mexico Coahuila Rural 2.0642216
 111  A*31-B*44-DRB1*07-DQB1*02  Mexico Coahuila, Saltillo 2.054872
 112  A*29:02-B*44:03-C*16:01-DRB1*07:01  Germany DKMS - France minority 2.04201,406
 113  A*01:01:01-B*44:03:01-DRB1*07:01:01  Portugal South 2.000049
 114  A*02:01:01-B*44:03:01-DRB1*07:01:01  Portugal Center 2.000050
 115  A*02:03-B*44:03-DRB1*07:01  Malaysia Patani 2.000025
 116  A*02-B*44-DRB1*07  Portugal Beja 2.0000699
 117  A*02-B*44-DRB1*07  Madeira pop 3 2.0000538
 118  A*29:02-B*44:03:01-DRB1*07:01:01  Portugal South 2.000049
 119  A*29-B*44-DRB1*07  Portugal Lisbon 2.000017,420
 120  A*29-B*44-DRB1*07  Portugal Evora 2.0000737
 121  A*29-B*44-DRB1*07  Portugal Faro 2.00001,242
 122  A*29-B*44-DRB1*07-DQB1*02  Mexico Baja California, La Paz 2.000075
 123  A*33-B*44-DRB1*07  Pakistan Mixed Pathan 2.0000100
 124  A*29-B*44-DRB1*07-DQB1*02  Mexico Durango Rural 1.9878326
 125  B*44-DRB1*07  Macedonia 1.9231286
 126  A*29-B*44-DRB1*07-DQB1*02  Mexico Zacatecas, Fresnillo 1.9048103
 127  A*02-B*44-DRB1*07  Brazil Parana Afro Brazilian 1.900077
 128  A*02-B*44-DRB1*07  Portugal Faro 1.90001,242
 129  A*29:02-B*44:03:01-DRB1*07:01:01  Madeira 1.9000185
 130  A*29-B*44-DRB1*07  Brazil Rio Grande do Sul Mixed 1.9000324
 131  A*29-B*44-DRB1*07  Portugal Porto 1.90007,937
 132  A*02:11-B*44:03-C*07:06-DRB1*07:01-DQB1*02:02  India North UCBB 1.89865,849
 133  A*33-B*44-DRB1*07  India sub-Himalayan West Bengal Kami 1.8900158
 134  A*33:03-B*44:03-C*07:01-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP Vietnamese 1.880143,540
 135  A*29:02-B*44:03-C*16:01-DRB1*07:01-DQB1*02:01  Colombia Bogotá Cord Blood 1.87691,463
 136  A*29-B*44-DRB1*07-DQB1*02  Mexico Coahuila, Torreon 1.8750396
 137  A*29:02:01-B*44:03:01-C*16:01:01-DRB1*07:01:01-DQB1*02:02:01  Spain, Canary Islands, Gran canaria island 1.8600215
 138  A*02:11-B*44:03-C*07:06-DRB1*07:01-DQB1*02:02  India Northeast UCBB 1.8581296
 139  A*11:01-B*44:03-DRB1*07:01  Malaysia Mandailing 1.851927
 140  A*29-B*44-DRB1*07-DQB1*02  Mexico Guanajuato Rural 1.8405162
 141  A*29:02-B*44:03-C*16:01-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*11:01  USA San Diego 1.8230496
 142  A*33-B*44-C*07-DRB1*07  Myanmar Chin 1.818055
 143  A*02:01-B*44:03-DRB1*07:01  Azores Central Islands 1.800059
 144  A*02-B*44-DRB1*07  Wales 1.80001,798
 145  A*02-B*44-DRB1*07:01-DQB1*02  Spain North Cantabria 1.800083
 146  A*24-B*44-DRB1*07:01-DQA1*02-DQB1*02  Russia Tuva 1.8000190
 147  A*24-B*44-DRB1*07:01-DQB1*02:01  Russia Chuvash 1.800082
 148  A*29-B*44-DRB1*07:01  USA NMDP Hispanic 1.8000449,844
 149  A*01:01-B*44:10-DRB1*07:01-DQB1*03:01  Iran Yazd 1.785756
 150  A*29-B*44-DRB1*07-DQB1*03:03  Mexico Veracruz, Cordoba 1.785756
 151  A*23:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Parda 1.7647170
 152  A*02:01-B*44:03-DRB1*07:01  Israel Libya Jews 1.75003,739
 153  A*29-B*44-DRB1*07-DQB1*02  Mexico Guerrero state 1.7361144
 154  A*33:03:01-B*44:03:02-C*07:01:01-DRB1*07:01:01-DQB1*02:02:01  India Karnataka Kannada Speaking 1.7240174
 155  A*29:02-B*44:03-C*16:01-DRB1*07:01-DQB1*02:01  USA Hispanic pop 2 1.72001,999
 156  A*29-B*44-DRB1*07  Portugal Viseu 1.70002,915
 157  A*29-B*44-DRB1*07  Brazil South Ribeirao Preto 1.7000184
 158  A*29-B*44-DRB1*07-DQB1*02  Ecuador Coast Mixed Ancestry 1.6807238
 159  A*29:02-B*44:03-C*16:01-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP Hispanic South or Central American 1.6788146,714
 160  A*23-B*44-DRB1*07-DQB1*02  Mexico Jalisco, Tlajomulco 1.666730
 161  A*29-B*44-DRB1*07-DQB1*02  Mexico Morelos Rural 1.666730
 162  A*29:02-B*44:03-C*16:01-DRB1*07:01  Germany DKMS - Portugal minority 1.64601,176
 163  A*02-B*44-DRB1*07-DQB1*02  Mexico Sinaloa Rural 1.6393183
 164  B*44-DRB1*07  Morocco pop 2 1.6200110
 165  A*33:03:01-B*44:03:02-C*07:01:01-DRB1*07:01:01-DQB1*02:02:01  India Kerala Malayalam speaking 1.6150356
 166  A*01:01:01-B*44:03:01-DRB1*07:01:01  Cape Verde Southeastern Islands 1.600062
 167  A*02-B*44-DRB1*07  Brazil Parana Mixed race 1.6000186
 168  A*02-B*44-DRB1*07  Portugal Aveiro 1.60005,933
 169  A*24-B*44-DRB1*07:01-DQB1*02  Spain Pas Valley 1.600088
 170  A*29-B*44-DRB1*07  Brazil Parana Mixed race 1.6000186
 171  A*29-B*44-DRB1*07  Brazil Parana Cafuzo 1.6000319
 172  A*29-B*44-DRB1*07  Portugal South pop 2 1.60001,021
 173  A*29-B*44-DRB1*07  Portugal Aveiro 1.60005,933
 174  A*29-B*44-DRB1*07  Madeira pop 3 1.6000538
 175  A*29-B*44-DRB1*07  Brazil Rio Grande do Sul Caucasoid 1.60004,428
 176  A*29-B*44-DRB1*07:01  USA NMDP Caucasian 1.60002,361,208
 177  A*33-B*44-DRB1*07:01  USA NMDP Asian and Pacific Islander 1.6000359,423
 178  A*23-B*44-DRB1*07-DQB1*02  Mexico Aguascalientes state 1.578995
 179  A*68:02-B*44:02-DRB1*07:01-DQB1*02:02  Tunisia Gabes 1.570095
 180  A*69:01-B*44:02-DRB1*07:01-DQB1*02:02  Tunisia Gabes 1.570095
 181  A*29:02-B*44:03-C*16:01-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP European Caucasian 1.56711,242,890
 182  A*29:02-B*44:03-C*16:01-DRB1*07:01  Germany DKMS - United Kingdom minority 1.56301,043
 183  A*23-B*44-C*04-DRB1*07  Macedonia MBMDR - Albanian 1.5625128
 184  A*33:03-B*44:03-C*07:01-DRB1*07:01-DQB1*02:01  USA Asian pop 2 1.50401,772
 185  A*02-B*44-DRB1*07:01-DRB4*01:01-DQA1*02:01-DQB1*02:02  Spain Murcia 1.5000173
 186  A*02-B*44-DRB1*07-DQB1*02  Guatemala Mayan 1.5000132
 187  A*23-B*44-DRB1*07  Portugal Aveiro 1.50005,933
 188  A*23-B*44-DRB1*07-DQB1*02  Mexico Baja Californa, Mexicali 1.5000100
 189  A*24-B*44-DRB1*07:01-DQB1*02  Spain North Cabuerniga 1.500095
 190  A*29-B*44-DRB1*07  Wales 1.50001,798
 191  A*29-B*44-DRB1*07  Brazil Minas Gerais State Mixed 1.50001,000
 192  A*02-B*44-DRB1*07-DQB1*02  Mexico Campeche, Campeche city 1.470634
 193  A*33-B*44-DRB1*07-DQB1*02  Mexico Mexico City West 1.470633
 194  A*02:01:01-B*44:03:01-C*16:02:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Black 1.470668
 195  A*23:01:01-B*44:03:01-C*07:01:01-DRB1*07:01:01-DQB1*02:01:01-DPA1*02:01:01-DPB1*17:01:01  Brazil Rio de Janeiro Black 1.470668
 196  A*30:02:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*03:01:01-DPB1*105:01:01  Brazil Rio de Janeiro Black 1.470668
 197  A*29:02-B*44:03-C*16:01-DRB1*07:01  USA Italy Ancestry 1.4650273
 198  A*29:02-B*44:03-C*16:01-DRB1*07:01-DQB1*02:01  USA NMDP American Indian South or Central America 1.43215,926
 199  A*01-B*44-DRB1*07-DQB1*02  Mexico Jalisco, Tonala 1.428635
 200  A*11-B*44-DRB1*07-DQB1*02  Mexico Jalisco, Tonala 1.428635

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 101 to 200 (from 2,483) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 25  


   

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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