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 : 
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Sample Size:      Sample Year:     Loci Tested: 
Displaying 501 to 600 (from 1,218) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 13  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 501  A*01:01-B*44:03-C*16:01-DRB1*07:01-DQB1*02:01  USA NMDP American Indian South or Central America 0.19755,926
 502  A*24-B*44-DRB1*07:01-DQA1*02:01-DQB1*02:02  Brazil Paraná Caucasian 0.1969641
 503  A*23:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:01  USA NMDP Hawaiian or other Pacific Islander 0.195811,499
 504  A*02:01:01-B*44:02:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*02:01:01-DPB1*17:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 505  A*03:01:01-B*44:03:01-C*16:01:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*02:01:04-DPB1*13:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 506  A*23:01:01-B*44:03:01-C*14:03:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*03:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 507  A*23:01:01-B*44:03:01-C*16:01:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*02:01:02-DPB1*01:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 508  A*25:01:01-B*44:02:01-C*12:03:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*01:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 509  A*26:01:01-B*44:03:01-C*16:01:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 510  A*68:01:02-B*44:02:01-C*07:04:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*11:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 511  A*68:01-B*44:03-C*07:06-DRB1*07:01-DQB1*02:02  India East UCBB 0.19402,403
 512  A*23:01-B*44:03-C*04:01-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP Caribean Black 0.190433,328
 513  A*01:01-B*44:03-C*16:01-DRB1*07:01-DQB1*02:02-DPB1*04:01  Panama 0.1900462
 514  A*03:01-B*44:02-C*12:03-DRB1*07:01-DQB1*02:02-DPB1*02:01  Panama 0.1900462
 515  A*11:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02-DPB1*04:01  Panama 0.1900462
 516  A*02:01-B*44:03-C*07:01-DRB1*07:01-DQB1*02:01  Germany DKMS - Turkey minority 0.18804,856
 517  A*30:04-B*44:03-C*07:01-DRB1*07:01-DQB1*02:01  USA Hispanic pop 2 0.18701,999
 518  A*01-B*44-DRB1*07-DQB1*02  Mexico Zacatecas Rural 0.1859266
 519  A*30-B*44-DRB1*07-DQB1*02  Mexico Zacatecas Rural 0.1859266
 520  A*31-B*44-DRB1*07-DQB1*02  Mexico Zacatecas Rural 0.1859266
 521  A*68-B*44-DRB1*07-DQB1*02  Mexico Zacatecas Rural 0.1859266
 522  A*02:01-B*44:03-C*16:01-DRB1*07:01-DQB1*02:01  USA NMDP Caribean Indian 0.185514,339
 523  A*02:57-B*44:03-C*07:01-DRB1*07:01-DQB1*02:02  Malaysia Peninsular Indian 0.1845271
 524  A*32:01-B*44:03-C*08:01-DRB1*07:01-DQB1*02:02  Malaysia Peninsular Indian 0.1845271
 525  A*03-B*44-DRB1*07-DQB1*02  Ecuador Andes Mixed Ancestry 0.1820824
 526  A*23-B*44-DRB1*07-DQB1*02  Ecuador Andes Mixed Ancestry 0.1820824
 527  A*02-B*44-DRB1*07-DQB1*02  Mexico Tlaxcala Rural 0.1807830
 528  A*23-B*44-DRB1*07-DQB1*02  Mexico Puebla Rural 0.1799833
 529  A*11:01-B*44:03-C*07:01-DRB1*07:01-DQB1*02:01  USA Asian pop 2 0.17801,772
 530  A*23:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:01  USA NMDP Black South or Central American 0.17594,889
 531  A*68:01-B*44:03-C*07:06-DRB1*07:01-DQB1*02:02  India North UCBB 0.17535,849
 532  A*02:01-B*44:03-C*07:06-DRB1*07:01-DQB1*02:02  India Central UCBB 0.17334,204
 533  A*03:01-B*44:03-C*16:01-DRB1*07:01-DQB1*02:01  Germany DKMS - Italy minority 0.17301,159
 534  A*01:01-B*44:03-C*16:01-DRB1*07:01-DQB1*02:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.17104,335
 535  A*68-B*44-DRB1*07-DQB1*02  Mexico Jalisco Rural 0.1706585
 536  A*23-B*44-DRB1*07-DQB1*02  Ecuador Mixed Ancestry 0.17051,173
 537  A*23:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:01-DPB1*14:01  Russia Karelia 0.16941,075
 538  A*29:02-B*44:03-C*16:01-DRB1*07:01-DQB1*02:01-DPB1*04:01  Russia Karelia 0.16931,075
 539  A*03:01-B*44:03-C*07:06-DRB1*07:01-DQB1*02:02  India Northeast UCBB 0.1689296
 540  A*31:01-B*44:03-C*07:06-DRB1*07:01-DQB1*02:02  India Northeast UCBB 0.1689296
 541  A*33:03-B*44:03-C*06:213-DRB1*07:01-DQB1*02:02  India Northeast UCBB 0.1689296
 542  A*23:01-B*44:03-C*04:01-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP African American pop 2 0.1638416,581
 543  A*23:01-B*44:03-C*04:01-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP African 0.162828,557
 544  A*01-B*44-DRB1*07:01-DQA1*02:01-DQB1*02:02  Brazil Paraná Caucasian 0.1623641
 545  A*29-B*44-C*16-DRB1*07-DQA1*01-DQB1*02  Spain, Castilla y Leon, Northwest, 0.16161,743
 546  A*23:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:01  India Tamil Nadu 0.16062,492
 547  A*26:30-B*44:03-C*06:02-DRB1*07:01-DQB1*02:01-DPB1*02:01  Tanzania Maasai 0.1597336
 548  A*01:01-B*44:03-C*07:01-DRB1*07:01-DQB1*02:02  Malaysia Peninsular Malay 0.1577951
 549  A*33:03-B*44:03-C*07:01-DRB1*07:16-DQB1*02:02  Malaysia Peninsular Malay 0.1577951
 550  A*33:03-B*44:03-C*07:02-DRB1*07:01-DQB1*02:02  Malaysia Peninsular Malay 0.1577951
 551  A*02:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:01  USA NMDP Black South or Central American 0.15604,889
 552  A*02:01-B*44:03-C*07:06-DRB1*07:01-DQB1*02:02  India North UCBB 0.15485,849
 553  A*33:03-B*44:03-C*07:01-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP Caribean Black 0.152933,328
 554  A*01-B*44-DRB1*07-DQB1*02  Mexico Durango Rural 0.1529326
 555  A*24-B*44-DRB1*07-DQB1*02  Mexico Durango Rural 0.1529326
 556  A*26-B*44-DRB1*07-DQB1*02  Mexico Durango Rural 0.1529326
 557  A*01:01-B*44:02-DRB1*07:01-DQB1*02:02  Mexico Mexico City Tlalpan 0.1515330
 558  A*03:01-B*44:02-DRB1*07:01-DQB1*02:01  Mexico Mexico City Tlalpan 0.1515330
 559  A*24:02-B*44:02-DRB1*07:01-DQB1*02:02  Mexico Mexico City Tlalpan 0.1515330
 560  A*02:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:01  USA NMDP Caribean Indian 0.150914,339
 561  A*02-B*44-C*05-DRB1*07-DQA1*02-DQB1*02  Spain, Castilla y Leon, Northwest, 0.14801,743
 562  A*24-B*44-DRB1*07-DQB1*02  Mexico Michoacan Rural 0.1433348
 563  A*26-B*44-DRB1*07-DQB1*02  Mexico Michoacan Rural 0.1433348
 564  A*02:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:01  Germany DKMS - Italy minority 0.14201,159
 565  A*32:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02  India Central UCBB 0.14194,204
 566  A*02:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:01  Colombia Bogotá Cord Blood 0.14161,463
 567  A*02:01-B*44:03-C*16:01-DRB1*07:01-DQB1*02:01  USA NMDP Black South or Central American 0.14104,889
 568  A*01:01-B*44:03-C*07:01-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*04:01  Sri Lanka Colombo 0.1401714
 569  A*01:01-B*44:03-C*07:01-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*04:02  Sri Lanka Colombo 0.1401714
 570  A*33:03-B*44:03-C*04:01-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*02:01  Sri Lanka Colombo 0.1401714
 571  A*33:03-B*44:03-C*07:01-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*03:01  Sri Lanka Colombo 0.1401714
 572  A*02:01-B*44:02-C*05:01-DRB1*07:01-DQB1*02:02  Italy pop 5 0.1400975
 573  A*02:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02  Italy pop 5 0.1400975
 574  A*02:01-B*44:03-C*16:01-DRB1*07:01-DQB1*02:01  USA Hispanic pop 2 0.14001,999
 575  A*03:01-B*44:02-C*04:01-DRB1*07:01-DQB1*02:02  Italy pop 5 0.1400975
 576  A*11:01-B*44:03-C*16:01-DRB1*07:01-DQB1*02:01  USA Hispanic pop 2 0.14001,999
 577  A*24:02-B*44:03-C*16:01-DRB1*07:01-DQB1*02:02  Italy pop 5 0.1400975
 578  A*33:03:01-B*44:03:02-C*07:01:01-DRB1*07:01:01-DQB1*02:02:01  India Kerala Malayalam speaking 0.1400356
 579  A*33:03:01-B*44:03:02-C*07:01:01-DRB1*07:03-DQB1*02:02:01  India Kerala Malayalam speaking 0.1400356
 580  A*68:01:02-B*44:03:02-C*02:75-DRB1*07:01:01-DQB1*02:01:10  India Kerala Malayalam speaking 0.1400356
 581  A*68:01:02-B*44:03:02-C*07:01:01-DRB1*07:01:01-DQB1*02:02:01  India Kerala Malayalam speaking 0.1400356
 582  A*02:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.13704,335
 583  A*11:01-B*44:03-C*16:01-DRB1*07:01-DQB1*02:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.13704,335
 584  A*30:02-B*44:03-C*16:01-DRB1*07:01-DQB1*02:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.13704,335
 585  A*24:02-B*44:03-C*07:01-DRB1*07:01-DQB1*02:01  India Tamil Nadu 0.13642,492
 586  A*29:02-B*44:03-C*04:01-DRB1*07:01-DQB1*02:01  USA NMDP Black South or Central American 0.13594,889
 587  A*11-B*44-C*16-DRB1*07-DQA1*02-DQB1*02  Spain, Castilla y Leon, Northwest, 0.13491,743
 588  A*29:02-B*44:03-C*16:01-DRB1*07:01-DQB1*02:01-DPB1*01:01  Germany DKMS - German donors 0.13423,456,066
 589  A*02-B*44-C*02-DRB1*07-DQA1*02-DQB1*02  Spain, Castilla y Leon, Northwest, 0.13371,743
 590  A*02:11-B*44:03-C*07:01-DRB1*07:01-DQB1*02:01  USA Asian pop 2 0.13301,772
 591  A*33:03-B*44:03-C*07:01-DRB1*07:01-DQB1*02:01  USA NMDP Black South or Central American 0.13274,889
 592  A*24:02-B*44:03-C*04:01-DRB1*07:01-DQB1*02:01  USA African American pop 4 0.13102,411
 593  A*29:02-B*44:03-C*16:01-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP African 0.130728,557
 594  A*24:02-B*44:03-C*04:01-DRB1*07:01-DQB1*02:01  Germany DKMS - Italy minority 0.12901,159
 595  A*03-B*44-DRB1*07-DQB1*02  Ecuador Mixed Ancestry 0.12791,173
 596  A*24:07-B*44:03-C*07:06-DRB1*07:01-DQB1*02:02  India East UCBB 0.12682,403
 597  A*11:01-B*44:03-C*07:01-DRB1*07:01-DQB1*02:01  India Tamil Nadu 0.12672,492
 598  A*02:01-B*44:03-C*07:06-DRB1*07:01-DQB1*02:02  India East UCBB 0.12602,403
 599  A*03-B*44-DRB1*07-DQB1*02  Mexico Jalisco, Guadalajara city 0.12561,189
 600  A*26-B*44-DRB1*07-DQB1*02  Mexico Puebla, Puebla city 0.12531,994

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 501 to 600 (from 1,218) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 13  


   

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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