Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Displaying 1 to 100 (from 155) records   Pages: 1 2 of 2  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*02:01-B*38:01-C*12:03-DRB1*13:01-DQA1*01:03-DQB1*06:03  Brazil Puyanawa 2.3333150
 2  A*24:03-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  Colombia North Chimila Amerindians 2.127747
 3  A*26:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  Colombia North Wiwa El Encanto 1.923152
 4  A*26:01-B*38:01-C*12:03-E*01:03:01-F*01:01:01-G*01:01-DRB1*13:01-DQA1*01:03-DQB1*06:03  Portugal Azores Terceira Island 1.7544130
 5  A*03:01-B*38:01-C*12:03-DRB1*13:01-DQA1*01:03-DQB1*06:03  Kosovo 1.2100124
 6  A*26:01:01-B*38:01:01-C*12:03:01-DRB1*13:01:01-DQB1*06:03:01  Spain, Canary Islands, Gran canaria island 0.7000215
 7  A*26:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.68404,335
 8  A*26:01:01-B*38:01:01-C*12:03:01-DRB1*13:01:01-DQA1*01:03:01-DQB1*06:03-DPA1*02:01:01-DPB1*02:01  Russia Belgorod region 0.6536153
 9  A*02:01:01-B*38:01:01-C*12:03:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.642323,595
 10  A*26:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  Italy pop 5 0.5900975
 11  A*26:01-B*38:01-DRB1*13:01-DQB1*06:03  Peru Titikaka Lake Uros 0.4800105
 12  A*26:01:01-B*38:01:01-C*12:03:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.424423,595
 13  A*26:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  Germany DKMS - Turkey minority 0.39804,856
 14  A*26:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  Germany DKMS - Italy minority 0.34501,159
 15  A*02:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  Germany DKMS - Turkey minority 0.33504,856
 16  A*02:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03-DPB1*03:01  Russia Karelia 0.32801,075
 17  A*01:01:01-B*38:01:01-C*12:03:01-DRB1*13:01:01-DQA1*01:03:01-DQB1*06:03-DPA1*02:02:02-DPB1*05:01  Russia Belgorod region 0.3268153
 18  A*02:01:01-B*38:01:01-C*12:03:01-DRB1*13:01:01-DQA1*01:02:01-DQB1*06:03-DPA1*01:03:01-DPB1*03:01:01  Russia Belgorod region 0.3268153
 19  A*02:01:01-B*38:01:01-C*12:03:01-DRB1*13:01:01-DQA1*01:03:01-DQB1*06:03-DPA1*01:03:01-DPB1*03:01:01  Russia Belgorod region 0.3268153
 20  A*03:01:01-B*38:01:01-C*12:03:01-DRB1*13:01:01-DQA1*01:03:01-DQB1*06:03-DPA1*01:03:01-DPB1*10:01  Russia Belgorod region 0.3268153
 21  A*23:01:01-B*38:01:01-C*12:03:01-DRB1*13:01:01-DQA1*01:03:01-DQB1*06:03-DPA1*01:03:01-DPB1*02:01:02  Russia Belgorod region 0.3268153
 22  A*32:01:01-B*38:01:01-C*02:02:02-DRB1*13:01:01-DQA1*05:05:01-DQB1*06:03-DPA1*01:03:01-DPB1*05:01  Russia Belgorod region 0.3268153
 23  A*02:01:01-B*38:01:01-C*12:03:01-DRB1*13:01:01-DQB1*06:03:01-DPA1*02:01:01-DPB1*11:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 24  A*26:01:01-B*38:01:01-C*12:03:01-DRB1*13:01:01-DQB1*06:03:01-DPA1*01:03:01-DPB1*04:02:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 25  A*02:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  Colombia Bogotá Cord Blood 0.30031,463
 26  A*24:02-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  Colombia Bogotá Cord Blood 0.26291,463
 27  A*26:01:01-B*38:01:01-C*12:03:01:01-DRB1*13:01:01-DQB1*06:03:01  Russia Bashkortostan, Tatars 0.2604192
 28  A*03:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  USA NMDP Caribean Indian 0.258914,339
 29  A*02:01:01-B*38:01:01-C*12:03:01:01-DRB1*13:01:01-DQB1*06:03:01  Russia Nizhny Novgorod, Russians 0.23051,510
 30  A*02:01:01-B*38:01:01-C*12:03:01-DRB1*13:01:01-DQB1*06:03:01  Spain, Canary Islands, Gran canaria island 0.2300215
 31  A*03:01:01-B*38:01:01-C*12:03:01-DRB1*13:01:01-DQB1*06:03:01  Spain, Canary Islands, Gran canaria island 0.2300215
 32  A*23:01:01-B*38:01:01-C*12:03:01-DRB1*13:01:01-DQB1*06:03:01  Spain, Canary Islands, Gran canaria island 0.2300215
 33  A*26:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03-DPB1*05:01  Russia Karelia 0.22561,075
 34  A*02:17-B*38:01-C*16:01-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*04:01  Nicaragua Managua 0.2165339
 35  A*03:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  Germany DKMS - Turkey minority 0.20004,856
 36  A*11:01-B*38:01:01-C*12:03-DRB1*13:01:01-DQB1*06:03:01  England North West 0.2000298
 37  A*23:01-B*38:01:01-C*12:03-DRB1*13:01:01-DQB1*06:03:01  England North West 0.2000298
 38  A*26:01:01-B*38:01:01-C*12:03:01:01-DRB1*13:01:01-DQB1*06:03:01  Russia Nizhny Novgorod, Russians 0.18661,510
 39  A*24:02-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  Germany DKMS - Turkey minority 0.18304,856
 40  A*26:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03-DPB1*04:01  Russia Karelia 0.16891,075
 41  A*03:01:01:01-B*38:01:01-C*12:03:01:01-DRB1*13:01:01-DQB1*06:03:01  Russia Nizhny Novgorod, Russians 0.16841,510
 42  A*26:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  India North UCBB 0.15935,849
 43  A*26:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  USA NMDP American Indian South or Central America 0.15925,926
 44  A*03:01:01-B*38:01:01-C*12:03:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.147223,595
 45  A*26:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  Colombia Bogotá Cord Blood 0.14131,463
 46  A*02:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  Italy pop 5 0.1400975
 47  A*03:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  USA Hispanic pop 2 0.14001,999
 48  A*25:01-B*38:01-C*01:02-DRB1*13:01-DQB1*06:03  Italy pop 5 0.1400975
 49  A*26:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  USA Hispanic pop 2 0.14001,999
 50  A*33:03-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  Italy pop 5 0.1400975
 51  A*68:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  Italy pop 5 0.1400975
 52  A*03:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.13704,335
 53  A*24:02-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.13704,335
 54  A*24:02-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03-DPB1*04:02  Russia Karelia 0.12331,075
 55  A*02:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03-DPB1*04:01  Russia Karelia 0.11291,075
 56  A*02:01:01:01-B*38:01:01-C*12:03:01:01-DRB1*13:01:01-DQB1*06:03:01  Russia Nizhny Novgorod, Russians 0.11271,510
 57  A*03:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  India North UCBB 0.11025,849
 58  A*26:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  USA NMDP Black South or Central American 0.11014,889
 59  A*02:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03-DPB1*02:01  Russia Karelia 0.10341,075
 60  A*24:02:01-B*38:01:01-C*12:03:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.103023,595
 61  A*02:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.10304,335
 62  A*32:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.10304,335
 63  A*03:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  Colombia Bogotá Cord Blood 0.10251,463
 64  A*26:01:01-B*38:01:01-C*12:03:01:01-DRB1*13:01-DQB1*06:03:01  Russia Nizhny Novgorod, Russians 0.09931,510
 65  A*24:02-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  USA Asian pop 2 0.08901,772
 66  A*26:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03-DPB1*02:01  Germany DKMS - German donors 0.08623,456,066
 67  A*32:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  Germany DKMS - Italy minority 0.08601,159
 68  A*33:03-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  Colombia Bogotá Cord Blood 0.08101,463
 69  A*26:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03-DPB1*05:01  Germany DKMS - German donors 0.07613,456,066
 70  A*26:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03-DPB1*04:01  Germany DKMS - German donors 0.07213,456,066
 71  A*26:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  India Central UCBB 0.06854,204
 72  A*11:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 73  A*68:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 74  A*02:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03-DPB1*02:01  Germany DKMS - German donors 0.06543,456,066
 75  A*26:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03-DPB1*03:01  Russia Karelia 0.06431,075
 76  A*01:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  Germany DKMS - Turkey minority 0.06104,856
 77  A*02:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03-DPB1*03:01  Germany DKMS - German donors 0.06003,456,066
 78  A*03:01-B*38:01-C*04:01-DRB1*13:01-DQB1*06:03-DPB1*05:01  Russia Karelia 0.05671,075
 79  A*25:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03-DPB1*05:01  Russia Karelia 0.05651,075
 80  A*03:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03-DPB1*14:01  Russia Karelia 0.05641,075
 81  A*01:01:01-B*38:01:01-C*12:03:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.052823,595
 82  A*02:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03-DPB1*04:01  Germany DKMS - German donors 0.05193,456,066
 83  A*24:02:01:01-B*38:01:01-C*12:03:01:01-DRB1*13:01:01-DQB1*06:03:01  Russia Nizhny Novgorod, Russians 0.04871,510
 84  A*03:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  India Central UCBB 0.04764,204
 85  A*02:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  USA Hispanic pop 2 0.04701,999
 86  A*02:30-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  USA Hispanic pop 2 0.04701,999
 87  A*01:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  USA African American pop 4 0.04402,411
 88  A*02:17-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  Germany DKMS - Italy minority 0.04301,159
 89  A*24:02-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  Germany DKMS - Italy minority 0.04301,159
 90  A*32:01:01-B*38:01:01-C*12:03:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.040423,595
 91  A*03:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03-DPB1*02:01  Germany DKMS - German donors 0.03853,456,066
 92  A*01:01:01:01-B*38:01:01-C*12:03:01:01-DRB1*13:01:01-DQB1*06:03:01  Russia Nizhny Novgorod, Russians 0.03521,510
 93  A*26:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  India West UCBB 0.03435,829
 94  A*02:17-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 95  A*23:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 96  A*24:03-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 97  A*25:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 98  A*29:02-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 99  A*02:30-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03-DPB1*03:01  Germany DKMS - German donors 0.03363,456,066
 100  A*03:01:01:03-B*38:01:01-C*12:03:01:01-DRB1*13:01:01-DQB1*06:03:01  Russia Nizhny Novgorod, Russians 0.03311,510

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 155) 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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