Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Population:  Country:  Source of dataset : 
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Displaying 1 to 88 (from 88) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*29:02-B*44:03-C*16:01-DRB1*07:01-DQB1*02:02  Tunisia 4.0000100
 2  A*29:02-B*44:03-C*16:01-DRB1*07:01-DQB1*02:02  Colombia North Wiwa El Encanto 3.846252
 3  A*29:02-B*44:03-C*16:01-DRB1*07:01-DQB1*02:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 3.42004,335
 4  A*29:02-B*44:03-C*16:01-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP Caribean Hispanic 2.9433115,374
 5  A*29:02-B*44:03-C*16:01-DRB1*07:01-DQB1*02:02  Mexico Mexico City Mestizo population 2.7972143
 6  A*29:02-B*44:03-C*16:01-DRB1*07:01  Germany DKMS - Spain minority 2.77801,107
 7  A*29:02-B*44:03-C*16:01-DRB1*07:01-DQB1*02:01  USA NMDP Caribean Indian 2.759314,339
 8  A*29:02-B*44:03-C*16:01-DRB1*07:01  USA Spain Ancestry 2.3300279
 9  A*29:02:01-B*44:03:01-C*16:01:01-DRB1*07:01  Costa Rica Amerindians (G) 2.2681125
 10  A*29:02:01-B*44:03-C*16:01:01-DRB1*07:01:01-DQB1*02:01  England North West 2.2000298
 11  A*29:02-B*44:03-C*16:01-DRB1*07:01  Germany DKMS - France minority 2.04201,406
 12  A*29:02-B*44:03-C*16:01-DRB1*07:01-DQB1*02:01  Colombia Bogotá Cord Blood 1.87691,463
 13  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
 14  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
 15  A*29:02-B*44:03-C*16:01-DRB1*07:01-DQB1*02:01  USA Hispanic pop 2 1.72001,999
 16  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
 17  A*29:02-B*44:03-C*16:01-DRB1*07:01  Germany DKMS - Portugal minority 1.64601,176
 18  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
 19  A*29:02-B*44:03-C*16:01-DRB1*07:01  Germany DKMS - United Kingdom minority 1.56301,043
 20  A*29:02-B*44:03-C*16:01-DRB1*07:01  USA Italy Ancestry 1.4650273
 21  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
 22  A*29:02-B*44:03-C*16:01-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP Mexican or Chicano 1.4211261,235
 23  A*29:02:01-B*44:03:01-C*16:01:01-DRB1*07:01-DQB1*02:01  Costa Rica Central Valley Mestizo (G) 1.3575221
 24  A*29:02-B*44:03-C*16:01-DRB1*07:01-DQB1*02:02  Italy pop 5 1.3300975
 25  A*29:02-B*44:03-C*16:01-DRB1*07:01  Italy pop 5 1.3100975
 26  A*29:02-B*44:03-C*16:01-DRB1*07:01  USA Mexican American Mestizo 1.3000553
 27  A*29:02-B*44:03-C*16:01-DRB1*07:01-DQB1*02:02  Ireland South 1.3000250
 28  A*29:02-B*44:03-C*16:01-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*04:01  Nicaragua Managua 1.2987339
 29  A*29:02-B*44:03-C*16:01-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP North American Amerindian 1.286335,791
 30  A*29:02:01-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 Parda 1.1765170
 31  A*29:02-B*44:03-C*16:01-DRB1*07:01  Germany DKMS - Austria minority 1.16401,698
 32  A*29:02:01:01-B*44:03:01-C*16:01:01-DRB1*07:01:01:01-DQB1*02:02  Russia Bashkortostan, Tatars 1.0417192
 33  A*29:02-B*44:03-C*16:01-DRB1*07:01  Germany pop 6 1.00498,862
 34  A*29:02:01-B*44:03:01-C*16:01:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.9727521
 35  A*29:02-B*44:03-C*16:01-DRB1*07:01-DQB1*02:02-DPB1*02:01  Panama 0.9500462
 36  A*29:02-B*44:03-C*16:01-DRB1*07:01-DQB1*02:01  Germany DKMS - Italy minority 0.93201,159
 37  A*29:02-B*44:03-C*16:01-DRB1*07:01-DQB1*02:01  USA NMDP Alaska Native or Aleut 0.89881,376
 38  A*29:02-B*44:03-C*16:01-E*01:01:01-F*01:01:01-G*01:01-DRB1*07:01-DQA1*02:01-DQB1*03:01  Portugal Azores Terceira Island 0.8772130
 39  A*29:02-B*44:03-C*16:01-DRB1*07:01  Germany DKMS - Netherlands minority 0.79401,374
 40  A*29:02:01-B*44:03:01-C*16:01:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*02:01:01-DPB1*11:01:01  Brazil Rio de Janeiro Caucasian 0.7782521
 41  A*29:02-B*44:03-C*16:01-DRB1*07:01  Poland DKMS 0.682120,653
 42  A*29:02-B*44:03-C*16:01-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP Middle Eastern or North Coast of Africa 0.676670,890
 43  A*29:02:01-B*44:03:01-C*16:01:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.667623,595
 44  A*29:02-B*44:03-C*16:01-DRB1*07:01  Germany DKMS - Romania minority 0.64801,234
 45  A*29:02:01-B*44:03:01-C*16:01:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.6270405
 46  A*29:02-B*44:03-C*16:01-DRB1*07:01-DQB1*02:01  USA African American pop 4 0.60302,411
 47  A*29:02:01-B*44:03:01-C*16:01:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Parda 0.5882170
 48  A*29:02-B*44:03-C*16:01-DRB1*07:01-DQB1*02:01  USA NMDP Black South or Central American 0.58054,889
 49  A*29:02-B*44:03-C*16:01-DRB1*07:01-DQB1*02:02-DPB1*01:01  Panama 0.5700462
 50  A*29:02-B*44:03-C*16:01-DRB1*07:01-DQB1*02:01  USA NMDP Hawaiian or other Pacific Islander 0.495311,499
 51  A*29:02-B*44:03-C*16:01-DRB1*07:01  Germany DKMS - Bosnia and Herzegovina minority 0.48601,028
 52  A*29:02-B*44:03-C*16:01-DRB1*07:01  Russia Bering Island Aleuts 0.4808104
 53  A*29:02-B*44:03-C*16:01-DRB1*07:01-DQB1*02:01-DPB1*11:01  Germany DKMS - German donors 0.46723,456,066
 54  A*29:02-B*44:03-C*16:01-DRB1*07:01-DQB1*02:02  Mexico Mexico City Mestizo pop 2 0.4274234
 55  A*29:02-B*44:03-C*16:01-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP Caribean Black 0.388333,328
 56  A*29:02-B*44:03-C*16:01-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP African American pop 2 0.3570416,581
 57  A*29:02:01-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 0.3423521
 58  A*29:02:01-B*44:03:01-C*16:01:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*02:02:02-DPB1*01:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 59  A*29:02:01:01-B*44:03:01-C*16:01:01-DRB1*07:01:01-DQB1*02:02  Russia Nizhny Novgorod, Russians 0.29801,510
 60  A*29:02-B*44:03-C*16:01-DRB1*07:01  Germany DKMS - Croatia minority 0.29202,057
 61  A*29:02-B*44:03-C*16:01-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*11:01  Nicaragua Managua 0.2165339
 62  A*29:02-B*44:03-C*16:01-DRB1*07:01-DQB1*02:01-DPB1*04:01  Germany DKMS - German donors 0.19793,456,066
 63  A*29:02-B*44:03-C*16:01-DRB1*07:01-DQB1*02:01-DPB1*04:01  Russia Karelia 0.16931,075
 64  A*29:02-B*44:03-C*16:01-DRB1*07:01  Germany DKMS - Greece minority 0.15801,894
 65  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
 66  A*29:02-B*44:03-C*16:01-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP African 0.130728,557
 67  A*29:02-B*44:03-C*16:01-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP Filipino 0.120150,614
 68  A*29:02-B*44:03-C*16:01-DRB1*07:01-DQB1*02:01  Germany DKMS - Turkey minority 0.10304,856
 69  A*29:02-B*44:03-C*16:01-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP Japanese 0.085324,582
 70  A*29:02-B*44:03-C*16:01-DRB1*07:01-DQB1*02:01-DPB1*02:01  Germany DKMS - German donors 0.07273,456,066
 71  A*29:02-B*44:03-C*16:01-DRB1*07:01-DQB1*02:01-DPB1*03:01  Germany DKMS - German donors 0.04393,456,066
 72  A*29:02-B*44:03-C*16:01-DRB1*07:01-DQB1*02:01-DPB1*04:02  Germany DKMS - German donors 0.04253,456,066
 73  A*29:02-B*44:03-C*16:01-DRB1*07:01-DQB1*03:01  Colombia Bogotá Cord Blood 0.03421,463
 74  A*29:02-B*44:03-C*16:01-DRB1*07:01-DQB1*03:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 75  A*29:02:01-B*44:03:01-C*16:01:01-DRB1*07:01:01-DPB1*04:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.01905,266
 76  A*29:02:01-B*44:03:01-C*16:01:01-DRB1*07:01:01-DQB1*03:03:02  Poland BMR 0.016823,595
 77  A*29:02-B*44:03-C*16:01-DRB1*07:01-DQB1*02:01-DPB1*16:01  Germany DKMS - German donors 0.01183,456,066
 78  A*29:02-B*44:03-C*16:01-DRB1*07:01-DQB1*02:01-DPB1*13:01  Germany DKMS - German donors 0.01083,456,066
 79  A*29:02-B*44:03-C*16:01-DRB1*07:01-DQB1*02:01-DPB1*17:01  Germany DKMS - German donors 0.01063,456,066
 80  A*29:02-B*44:03-C*16:01-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP Chinese 0.007699,672
 81  A*29:02-B*44:03-C*16:01-DRB1*07:01  Hong Kong Chinese BMDR 0.00657,595
 82  A*29:02-B*44:03-C*16:01-DRB1*07:01-DQB1*02:02  India South UCBB 0.004411,446
 83  A*29:02:01-B*44:03:01-C*16:01:01-DRB1*07:01:01-DQB1*05:01:01  Poland BMR 0.004323,595
 84  A*29:02:01-B*44:03:01-C*16:01:01-DRB1*07:01:01-DQB1*06:02:01  Poland BMR 0.004223,595
 85  A*29:02-B*44:03-C*16:01-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP Korean 0.003977,584
 86  A*29:02:01-B*44:03:01-C*16:01:01-DRB1*07:01:01-DQB1*03:01:01  Poland BMR 0.003023,595
 87  A*29:01-B*44:03-C*16:01-DRB1*07:01  Poland DKMS 0.002420,653
 88  A*29:02-B*44:03-C*16:01-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP South Asian Indian 0.0008090185,391

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).




   

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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