Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Displaying 1 to 100 (from 146) records   Pages: 1 2 of 2  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*31:01-B*40:08-C*03:04-DRB1*04:04-DQA1*03:01-DQB1*03:02  Mexico Tixcacaltuyub Maya 2.985167
 2  A*02:01-B*40:02-C*03:04-DRB1*04:04-DQA1*03:01-DQB1*03:02  Brazil Puyanawa 2.0000150
 3  A*31:01-B*40:02-C*03:04-DRB1*04:04-DQA1*03:01-DQB1*03:02  Mexico Chichen Itza Maya (prehispanic) 1.063847
 4  A*68:01-B*40:08-C*03:04-DRB1*04:04-DQA1*03:01-DQB1*03:02  Mexico Chichen Itza Maya (prehispanic) 1.063847
 5  A*68:01-B*40:27-C*03:04-DRB1*04:04-DQA1*03:01-DQB1*03:02  Mexico Chichen Itza Maya (prehispanic) 1.063847
 6  B*40:02-C*03:04-DRB1*04:04-DQB1*03:02  Mexico Mexico City Mestizo population 1.0490143
 7  B*40:01-C*03:04-DRB1*04:04-DQB1*03:02  Ireland South 1.0000250
 8  A*24:02:01-B*40:01:01-C*03:04:01-DRB1*04:04:01-DQB1*03:02  Costa Rica Central Valley Mestizo (G) 0.9050221
 9  A*31:01-B*40:01-C*03:04-DRB1*04:04-DQB1*03:02:01  England North West 0.8000298
 10  A*11:01-B*40:01-C*03:04-DRB1*04:04-DQA1*03:01-DQB1*03:02  Mexico Tixcacaltuyub Maya 0.746367
 11  A*02:01-B*40:01-C*03:04-DRB1*04:04-DQB1*03:02:01  England North West 0.7000298
 12  A*02:01-B*40:02-C*03:04-DRB1*04:04-DQB1*03:02  Mexico Mexico City Mestizo population 0.6993143
 13  B*39:02-C*03:04-DRB1*04:04-DQB1*03:02  Mexico Mexico City Mestizo pop 2 0.4300234
 14  A*02:01-B*39:02-C*03:04-DRB1*04:04-DQB1*03:02  Mexico Mexico City Mestizo pop 2 0.4274234
 15  A*31:01-B*40:01-C*03:04-DRB1*04:04-DQB1*03:02  USA NMDP American Indian South or Central America 0.40605,926
 16  A*31:01-B*40:01-C*03:04-DRB1*04:04-DQB1*03:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.37604,335
 17  A*24:02-B*40:02-C*03:04-DRB1*04:04-DQB1*03:02  USA Hispanic pop 2 0.37401,999
 18  A*24:02-B*40:02-C*03:04-DRB1*04:04-DQB1*03:02  Mexico Mexico City Mestizo population 0.3497143
 19  A*11:01-B*40:01-C*03:04-DRB1*04:04-DQB1*03:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.34204,335
 20  A*02:01:01-B*40:01:02-C*03:04:01-DRB1*04:04:01-DQA1*02:01:01-DQB1*03:02-DPA1*01:03:01-DPB1*16:01:01  Russia Belgorod region 0.3268153
 21  A*31:01:02:01-B*40:01:02-C*03:04:01:01-DRB1*04:04:01-DQB1*03:02  Russia Nizhny Novgorod, Russians 0.29541,510
 22  A*31:01:02:01-B*51:01:01-C*03:04:01:01-DRB1*04:04:01-DQB1*03:02  Russia Bashkortostan, Tatars 0.2604192
 23  A*68:01-B*35:01-C*03:04-DRB1*04:04-DQA1*03:01-DQB1*03:02-DPB1*04:01  USA San Diego 0.2600496
 24  A*02:01-B*40:01-C*03:04-DRB1*04:04-DQB1*03:02  USA NMDP American Indian South or Central America 0.23805,926
 25  A*31:01-B*40:01-C*03:04-DRB1*04:04-DQB1*03:02  USA Hispanic pop 2 0.23401,999
 26  A*31:01-B*40:02-C*03:04-DRB1*04:04-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*04:01  Mexico Chiapas Lacandon Mayans 0.2294218
 27  A*02:01:01-B*40:01:01-C*03:04:01-DRB1*04:04:01-DQB1*03:02  Costa Rica Central Valley Mestizo (G) 0.2262221
 28  A*02:33-B*40:27-C*03:04-DRB1*04:04-DQA1*03:01-DQB1*03:02-DPB1*04:01  Nicaragua Managua 0.2165339
 29  A*26:01-B*35:01-C*03:04-DRB1*04:04-DQA1*03:01-DQB1*03:02-DPB1*04:02  Nicaragua Managua 0.2165339
 30  A*02:01-B*40:01-C*03:04-DRB1*04:04-DQB1*03:02  USA NMDP Alaska Native or Aleut 0.20181,376
 31  A*02:22-B*40:02-C*03:04-DRB1*04:04-DQB1*03:02  Colombia Bogotá Cord Blood 0.20101,463
 32  A*11:01-B*07:02-C*03:04-DRB1*04:04-DQB1*03:02:01  England North West 0.2000298
 33  A*11:01-B*40:01-C*03:04-DRB1*04:04-DQB1*03:02:01  England North West 0.2000298
 34  A*03:01:01-B*40:01:02-C*03:04:01-DRB1*04:04:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 35  A*24:25-B*35:01-C*03:04-DRB1*04:04-DQB1*03:02-DPB1*14:01  Panama 0.1900462
 36  A*02:01-B*40:01-C*03:04-DRB1*04:04-DQB1*03:02-DPB1*06:01  Russia Karelia 0.18331,075
 37  A*24:02-B*40:02-C*03:04-DRB1*04:04-DQB1*03:02  Colombia Bogotá Cord Blood 0.17671,463
 38  A*02:01:01-B*40:01:02-C*03:04:01-DRB1*04:04:01-DQB1*03:02:01  Poland BMR 0.175323,595
 39  A*31:01-B*40:01-C*03:04-DRB1*04:04-DQB1*03:02  USA African American pop 4 0.17402,411
 40  A*31:01-B*40:01-C*03:04-DRB1*04:04-DQB1*03:02  Colombia Bogotá Cord Blood 0.17091,463
 41  A*11:01-B*40:01-C*03:04-DRB1*04:04-DQB1*03:02-DPB1*05:01  Russia Karelia 0.16801,075
 42  A*31:01-B*40:01-C*03:04-DRB1*04:04-DQB1*03:02  Italy pop 5 0.1500975
 43  A*02:06-B*40:02-C*03:04-DRB1*04:04-DQB1*03:02  USA Hispanic pop 2 0.14001,999
 44  A*24:02-B*40:05-C*03:04-DRB1*04:04-DQB1*03:02  USA Hispanic pop 2 0.14001,999
 45  A*11:01-B*40:01-C*03:04-DRB1*04:04-DQB1*03:02  Colombia Bogotá Cord Blood 0.13671,463
 46  A*02:01:01:01-B*40:01:02-C*03:04:01:01-DRB1*04:04:01-DQB1*03:02  Russia Nizhny Novgorod, Russians 0.13511,510
 47  A*24:02-B*40:01-C*03:04-DRB1*04:04-DQB1*03:02  USA NMDP American Indian South or Central America 0.13015,926
 48  A*31:01:02-B*40:01:02-C*03:04:01-DRB1*04:04:01-DQB1*03:02:01  Poland BMR 0.115323,595
 49  A*31:01-B*40:01-C*03:04-DRB1*04:04-DQB1*03:02  USA NMDP Black South or Central American 0.11234,889
 50  A*03:01-B*40:01-C*03:04-DRB1*04:04-DQB1*03:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.10304,335
 51  A*30:02-B*40:01-C*03:04-DRB1*04:04-DQB1*03:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.10304,335
 52  A*31:01-B*40:02-C*03:04-DRB1*04:04-DQB1*03:02  Colombia Bogotá Cord Blood 0.10251,463
 53  A*68:01-B*40:02-C*03:04-DRB1*04:04-DQB1*03:02  USA Hispanic pop 2 0.09301,999
 54  A*31:01-B*40:01-C*03:04-DRB1*04:04-DQB1*03:02  Germany DKMS - Italy minority 0.08601,159
 55  A*31:01-B*40:01-C*03:04-DRB1*04:04-DQB1*03:02  India Tamil Nadu 0.08122,492
 56  A*02:01-B*40:01-C*03:04-DRB1*04:04-DQB1*03:02-DPB1*06:01  Germany DKMS - German donors 0.07833,456,066
 57  A*31:01-B*40:01-C*03:04-DRB1*04:04-DQB1*03:02-DPB1*06:01  Germany DKMS - German donors 0.07643,456,066
 58  A*02:01-B*40:01-C*03:04-DRB1*04:04-DQB1*03:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 59  A*24:02-B*40:01-C*03:04-DRB1*04:04-DQB1*03:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 60  A*68:01-B*40:02-C*03:04-DRB1*04:04-DQB1*03:02  Germany DKMS - Turkey minority 0.06204,856
 61  A*31:01-B*40:01-C*03:04-DRB1*04:04-DQB1*03:02-DPB1*04:01  Germany DKMS - German donors 0.05753,456,066
 62  A*02:01-B*40:01-C*03:04-DRB1*04:04-DQB1*03:02-DPB1*04:01  Russia Karelia 0.05721,075
 63  A*68:01-B*40:01-C*03:04-DRB1*04:04-DQB1*03:02-DPB1*04:01  Russia Karelia 0.05651,075
 64  A*24:02-B*40:01-C*03:04-DRB1*04:04-DQB1*03:02-DPB1*04:01  Russia Karelia 0.05651,075
 65  A*26:01-B*40:02-C*03:04-DRB1*04:04-DQB1*03:02-DPB1*04:02  Russia Karelia 0.05651,075
 66  A*02:13-B*40:02-C*03:04-DRB1*04:04-DQB1*03:02  Colombia Bogotá Cord Blood 0.05621,463
 67  A*02:01-B*40:01-C*03:04-DRB1*04:04-DQB1*03:02  India Tamil Nadu 0.05432,492
 68  A*11:01:01-B*40:01:02-C*03:04:01-DRB1*04:04:01-DQB1*03:02:01  Poland BMR 0.053523,595
 69  A*03:01:01-B*40:01:02-C*03:04:01-DRB1*04:04:01-DQB1*03:02:01  Poland BMR 0.051823,595
 70  A*01:01-B*40:02-C*03:04-DRB1*04:04-DQB1*03:02  USA Hispanic pop 2 0.04701,999
 71  A*02:11-B*35:10-C*03:04-DRB1*04:04-DQB1*03:02  USA Hispanic pop 2 0.04701,999
 72  A*26:01-B*55:01-C*03:04-DRB1*04:04-DQB1*03:02  USA Hispanic pop 2 0.04701,999
 73  A*68:02-B*40:01-C*03:04-DRB1*04:04-DQB1*03:02  USA Hispanic pop 2 0.04701,999
 74  A*02:11-B*40:01-C*03:04-DRB1*04:04-DQB1*03:02  USA Asian pop 2 0.04401,772
 75  A*01:01-B*40:01-C*03:04-DRB1*04:04-DQB1*03:02  India Tamil Nadu 0.04372,492
 76  A*31:01-B*40:01-C*03:04-DRB1*04:04-DQB1*03:02  Germany DKMS - Turkey minority 0.04104,856
 77  A*31:01-B*40:01-C*03:04-DRB1*04:04-DQB1*03:02-DPB1*03:01  Germany DKMS - German donors 0.03943,456,066
 78  A*32:01:01-B*40:01:02-C*03:04:01-DRB1*04:04:01-DQB1*03:02:01  Poland BMR 0.036723,595
 79  A*01:01-B*35:01-C*03:04-DRB1*04:04-DQB1*03:02  Colombia Bogotá Cord Blood 0.03421,463
 80  A*02:01-B*35:01-C*03:04-DRB1*04:04-DQB1*03:02  Colombia Bogotá Cord Blood 0.03421,463
 81  A*02:11-B*40:01-C*03:04-DRB1*04:04-DQB1*03:02  Colombia Bogotá Cord Blood 0.03421,463
 82  A*02:17-B*40:02-C*03:04-DRB1*04:04-DQB1*03:02  Colombia Bogotá Cord Blood 0.03421,463
 83  A*02:22-B*40:03-C*03:04-DRB1*04:04-DQB1*03:02  Colombia Bogotá Cord Blood 0.03421,463
 84  A*11:01-B*35:30-C*03:04-DRB1*04:04-DQB1*03:02  Colombia Bogotá Cord Blood 0.03421,463
 85  A*24:02-B*35:30-C*03:04-DRB1*04:04-DQB1*03:02  Colombia Bogotá Cord Blood 0.03421,463
 86  A*24:14-B*40:02-C*03:04-DRB1*04:04-DQB1*03:02  Colombia Bogotá Cord Blood 0.03421,463
 87  A*32:01-B*27:05-C*03:04-DRB1*04:04-DQB1*03:02  Colombia Bogotá Cord Blood 0.03421,463
 88  A*68:01-B*40:02-C*03:04-DRB1*04:04-DQB1*03:02  Colombia Bogotá Cord Blood 0.03421,463
 89  A*29:02-B*40:01-C*03:04-DRB1*04:04-DQB1*03:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 90  A*68:01-B*15:20-C*03:04-DRB1*04:04-DQB1*03:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 91  A*02:01-B*40:01-C*03:04-DRB1*04:04-DQB1*03:02-DPB1*04:01  Germany DKMS - German donors 0.03353,456,066
 92  A*01:01:01:01-B*40:01:02-C*03:04:01:01-DRB1*04:04:01-DQB1*03:02  Russia Nizhny Novgorod, Russians 0.03311,510
 93  A*02:01:01:01-B*44:02:01-C*03:04:01:01-DRB1*04:04:01-DQB1*03:02  Russia Nizhny Novgorod, Russians 0.03311,510
 94  A*03:01:01:01-B*40:01:02-C*03:04:01:01-DRB1*04:04:01-DQB1*03:02  Russia Nizhny Novgorod, Russians 0.03311,510
 95  A*24:02:01-B*40:01:02-C*03:04:01-DRB1*04:04:01-DQB1*03:02:01  Poland BMR 0.032523,595
 96  A*31:01-B*40:01-C*03:04-DRB1*04:04-DQB1*03:02-DPB1*02:01  Germany DKMS - German donors 0.03093,456,066
 97  A*26:01:01-B*40:01:02-C*03:04:01-DRB1*04:04:01-DQB1*03:02:01  Poland BMR 0.029223,595
 98  A*24:02:01-B*40:01:02-C*03:04:01-DRB1*04:04:01-DQB1*03:02:01  China Zhejiang Han 0.02881,734
 99  A*24:02:01-B*40:02:01-C*03:04:01-DRB1*04:04:01-DQB1*03:02:01  China Zhejiang Han 0.02881,734
 100  A*24:02-B*40:01-C*03:04-DRB1*04:04-DQB1*03:02  Germany DKMS - Turkey minority 0.02704,856

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 1 to 100 (from 146) records   Pages: 1 2 of 2  


   

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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