Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Displaying 1 to 100 (from 339) records   Pages: 1 2 3 4 of 4  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*24:02-B*51:10-C*15:02-DRB1*04:07-DQB1*03:02  Colombia North Chimila Amerindians 28.723447
 2  A*02:01-B*51:10-C*15:02-DRB1*04:07-DQB1*03:02  Colombia North Chimila Amerindians 2.127747
 3  A*02:01-B*51:01-C*15:13-DRB1*04:02-DQA1*03:01-DQB1*03:02  United Arab Emirates Abu Dhabi 1.920052
 4  A*31:01:02:01-B*51:01:01-C*15:02:01:01-DRB1*04:07:01-DQB1*03:01  Russia Bashkortostan, Bashkirs 1.2500120
 5  A*02:87-B*51:10-C*15:02-DRB1*04:07-DQB1*03:02  Colombia North Chimila Amerindians 1.063847
 6  A*24:02-B*51:10-C*15:02-DRB1*04:17-DQB1*03:02  Colombia North Chimila Amerindians 1.063847
 7  A*02:01:01-B*51:01:01-C*15:02:01-DRB1*04:02-DQB1*03:02:01-DPB1*04:01:01  Saudi Arabia pop 6 (G) 1.055528,927
 8  A*02:01:01-B*51:01:01-C*15:02:01-DRB1*04:03:01-DQB1*03:02:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 9  A*24:02:01-B*51:01:01-C*15:02:01-DRB1*04:04:01-DQB1*03:02:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 10  A*68:03:01-B*51:01:01-C*15:02:01-DRB1*04:03:01-DQB1*03:02:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 11  A*32-B*51-C*15-DRB1*04-DQB1*03  Albania pop 2 0.6800432
 12  A*02:13-B*51:01-C*15:02-DRB1*04:04-DQB1*03:02  Colombia Bogotá Cord Blood 0.67411,463
 13  A*31:01-B*51:01-C*15:02-DRB1*04:04-DQA1*03:02-DQB1*03:01  Brazil Puyanawa 0.6667150
 14  B*51:01-C*15:09-DRB1*04:07-DQB1*03:02  Mexico Mexico City Mestizo pop 2 0.6400234
 15  A*11:01:01-B*51:01:01-C*15:02:01-DRB1*04:03:01-DQB1*03:02:01  India Andhra Pradesh Telugu Speaking 0.5376186
 16  A*02:01-B*51:01-C*15:02-DRB1*04:02-DQB1*03:02  Germany DKMS - Turkey minority 0.52604,856
 17  B*51:01-C*15:09-DRB1*04:11-DQB1*03:02  Mexico Mexico City Mestizo pop 2 0.4300234
 18  A*02:06-B*51:01-C*15:09-DRB1*04:07-DQB1*03:02  Mexico Mexico City Mestizo pop 2 0.4274234
 19  A*31:01:02:01-B*51:01:01-C*15:02:01-DRB1*04:07:01-DQB1*03:01  Russia Bashkortostan, Bashkirs 0.4167120
 20  A*24:02-B*51:10-C*15:02-DRB1*04:07-DQB1*03:02-DPB1*14:01  Panama 0.3800462
 21  A*68:05-B*51:01-C*15:09-DRB1*04:04-DQB1*03:02  Mexico Mexico City Mestizo population 0.3497143
 22  B*51:01-C*15:09-DRB1*04:04-DQB1*03:02  Mexico Mexico City Mestizo population 0.3497143
 23  A*33-B*51-C*15-DRB1*04-DQB1*03  Albania pop 2 0.3400432
 24  A*69-B*51-C*15-DRB1*04-DQB1*03  Albania pop 2 0.3400432
 25  A*26:01:01-B*51:01:01-C*15:04:01-DRB1*04:03:01-DQB1*03:02:01-DPB1*04:01:01  Saudi Arabia pop 6 (G) 0.313028,927
 26  A*32:01:02-B*51:01:01-C*15:02:01-DRB1*04:05:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*13:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 27  A*02:13-B*51:01-C*15:02-DRB1*04:07-DQB1*03:02  Colombia Bogotá Cord Blood 0.27381,463
 28  A*24:02:01-B*51:01:01-C*15:02:01-DRB1*04:03:01-DQB1*03:02:01  India Andhra Pradesh Telugu Speaking 0.2688186
 29  A*24:02:01-B*51:06:01-C*15:02:01-DRB1*04:04:01-DQB1*03:02:01  India Andhra Pradesh Telugu Speaking 0.2688186
 30  A*31:01:02-B*51:01:01-C*15:02:01-DRB1*04:01:01-DQB1*03:02:01  India Andhra Pradesh Telugu Speaking 0.2688186
 31  A*02:01-B*51:01-C*15:02-DRB1*04:06-DQA1*03:01-DQB1*03:02-DPB1*02:01  USA San Diego 0.2600496
 32  A*02:01-B*51:01-C*15:04-DRB1*04:04-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*04:02  Mexico Chiapas Lacandon Mayans 0.2294218
 33  A*02:06-B*51:01-C*15:02-DRB1*04:04-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*04:02  Mexico Chiapas Lacandon Mayans 0.2294218
 34  A*24:02-B*51:01-C*15:04-DRB1*04:04-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*04:02  Mexico Chiapas Lacandon Mayans 0.2294218
 35  A*23:01:01-B*51:01:01-C*15:13-DRB1*04:02:01-DQB1*03:02  Costa Rica Central Valley Mestizo (G) 0.2262221
 36  A*23:01-B*51:01-C*15:02-DRB1*04:04-DQA1*03:01-DQB1*03:01-DPB1*04:01  Nicaragua Managua 0.2165339
 37  A*31:01-B*51:01-C*15:02-DRB1*04:03-DQA1*01:02-DQB1*03:01-DPB1*04:01  Nicaragua Managua 0.2165339
 38  A*31:01-B*51:01-C*15:02-DRB1*04:07-DQB1*03:02  USA NMDP American Indian South or Central America 0.20135,926
 39  A*03:01-B*51:01-C*15:02-DRB1*04:02-DQB1*03:02:01  England North West 0.2000298
 40  A*11:01-B*51:01-C*15:02-DRB1*04:04-DQB1*03:02:01  England North West 0.2000298
 41  A*11:01-B*51:01-C*15:02-DRB1*04:08-DQB1*03:01  England North West 0.2000298
 42  A*01:01:01-B*51:01:01-C*15:13:01-DRB1*04:02:01-DQB1*03:02:01-DPA1*02:01:01-DPB1*13:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 43  A*31:01:02-B*51:01:01-C*15:02:01-DRB1*04:07:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 44  A*02:01:01-B*51:01:01-C*15:02:01-DRB1*04:03:01-DQB1*03:02:01-DPB1*04:01:01  Saudi Arabia pop 6 (G) 0.194528,927
 45  A*02:01-B*51:01-C*15:02-DRB1*04:11-DQB1*03:02  USA NMDP Caribean Indian 0.192614,339
 46  A*02:01-B*51:01-C*15:02-DRB1*04:04-DQB1*03:02  USA NMDP American Indian South or Central America 0.18775,926
 47  A*02:01:01-B*51:01:01-C*15:02:01-DRB1*04:02-DQB1*03:02:01-DPB1*02:01:02  Saudi Arabia pop 6 (G) 0.187528,927
 48  A*11:01-B*51:02-C*15:02-DRB1*04:06-DQB1*03:02  India Northeast UCBB 0.1689296
 49  A*11:01:01-B*51:01:01-C*15:02:01-DRB1*04:04:01-DQB1*03:02:01  Poland BMR 0.167023,595
 50  A*03:01:01-B*51:01:01-C*15:02:01-DRB1*04:01:01-DQB1*03:02:01  India Kerala Malayalam speaking 0.1400356
 51  A*68:01:01-B*51:01:01-C*15:04:01-DRB1*04:03:01-DQB1*03:02:01-DPB1*04:01:01  Saudi Arabia pop 6 (G) 0.137828,927
 52  A*31:01-B*51:01-C*15:02-DRB1*04:08-DQB1*03:01  Colombia Bogotá Cord Blood 0.13671,463
 53  A*24:02-B*51:01-C*15:02-DRB1*04:04-DQB1*03:02  Colombia Bogotá Cord Blood 0.13611,463
 54  A*01-B*51-C*15-DRB1*04-DQA1*03-DQB1*03  Spain, Castilla y Leon, Northwest, 0.13591,743
 55  A*11:01-B*51:01-C*15:02-DRB1*04:04-DQB1*03:02  Germany DKMS - Italy minority 0.12901,159
 56  A*24:02-B*51:01-C*15:02-DRB1*04:02-DQB1*03:02  Germany DKMS - Turkey minority 0.11904,856
 57  A*02:01:01-B*51:01:01-C*15:02:01-DRB1*04:04:01-DQB1*03:02:01  Poland BMR 0.115823,595
 58  A*11:01-B*51:01-C*15:02-DRB1*04:02-DQB1*03:02-DPB1*03:01  Russia Karelia 0.11291,075
 59  A*02:01-B*51:01-C*15:02-DRB1*04:02-DQB1*03:02-DPB1*02:01  Russia Karelia 0.10651,075
 60  A*01:01-B*51:01-C*15:13-DRB1*04:02-DQB1*03:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.10304,335
 61  A*31:01-B*51:01-C*15:02-DRB1*04:08-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.10304,335
 62  A*02:01:01:01-B*51:01:01-C*15:02:01:01-DRB1*04:04:01-DQB1*03:02  Russia Nizhny Novgorod, Russians 0.09931,510
 63  A*02:01-B*51:01-C*15:09-DRB1*04:04-DQB1*03:02  USA Hispanic pop 2 0.09401,999
 64  A*02:13-B*51:01-C*15:02-DRB1*04:04-DQB1*03:02  USA Hispanic pop 2 0.09401,999
 65  A*32:01-B*51:01-C*15:02-DRB1*04:02-DQB1*03:02  USA Hispanic pop 2 0.09401,999
 66  A*68:01:01-B*51:01:01-C*15:02:01-DRB1*04:03:01-DQB1*03:02:01-DPB1*02:01:02  Saudi Arabia pop 6 (G) 0.092028,927
 67  A*02:01-B*51:01-C*15:02-DRB1*04:03-DQB1*03:02  USA Asian pop 2 0.08901,772
 68  A*24:02-B*51:01-C*15:02-DRB1*04:04-DQB1*03:02  USA Hispanic pop 2 0.08801,999
 69  A*24:02-B*51:01-C*15:02-DRB1*04:04-DQB1*03:02  India North UCBB 0.07615,849
 70  A*24-B*51-C*15-DRB1*04-DQB1*03-DPB1*03  Norway ethnic Norwegians 0.07004,510
 71  A*31-B*51-C*15-DRB1*04-DQB1*03-DPB1*03  Norway ethnic Norwegians 0.07004,510
 72  A*02:01-B*51:01-C*15:02-DRB1*04:08-DQB1*03:01  Colombia Bogotá Cord Blood 0.06841,463
 73  A*24:02-B*51:10-C*15:02-DRB1*04:07-DQB1*03:02  Colombia Bogotá Cord Blood 0.06841,463
 74  A*11:01-B*51:01-C*15:02-DRB1*04:04-DQB1*03:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 75  A*31:01-B*51:01-C*15:02-DRB1*04:07-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 76  A*02:01-B*51:01-C*15:02-DRB1*04:04-DQB1*03:02  Colombia Bogotá Cord Blood 0.06651,463
 77  A*11:01:01:01-B*51:01:01-C*15:02:01:01-DRB1*04:04:01-DQB1*03:02  Russia Nizhny Novgorod, Russians 0.06621,510
 78  A*24:02:01:01-B*51:01:01-C*15:02:01:01-DRB1*04:04:01-DQB1*03:02  Russia Nizhny Novgorod, Russians 0.06621,510
 79  A*24:02:01:01-B*51:01:01-C*15:04-DRB1*04:03:01-DQB1*03:05:01  Russia Nizhny Novgorod, Russians 0.06621,510
 80  A*68-B*51-C*15-DRB1*04-DQA1*03-DQB1*03  Spain, Castilla y Leon, Northwest, 0.06571,743
 81  A*11:01-B*51:01-C*15:02-DRB1*04:04-DQB1*03:02  Germany DKMS - Turkey minority 0.06304,856
 82  A*01-B*51-C*15-DRB1*04-DQB1*03-DPB1*04  Norway ethnic Norwegians 0.06004,510
 83  A*02-B*51-C*15-DRB1*04-DQB1*03-DPB1*02  Norway ethnic Norwegians 0.06004,510
 84  A*02:01-B*51:01-C*15:02-DRB1*04:02-DQB1*03:02-DPB1*04:02  Russia Karelia 0.05891,075
 85  A*26:01-B*51:01-C*15:02-DRB1*04:02-DQB1*03:02-DPB1*04:02  Russia Karelia 0.05651,075
 86  A*24:02-B*51:01-C*15:02-DRB1*04:04-DQB1*03:02-DPB1*04:01  Russia Karelia 0.05651,075
 87  A*24:02-B*51:01-C*15:02-DRB1*04:04-DQB1*03:02  India South UCBB 0.055211,446
 88  A*11:01-B*51:01-C*15:02-DRB1*04:06-DQB1*03:02  Malaysia Peninsular Malay 0.0526951
 89  A*24:02-B*51:01-C*15:02-DRB1*04:03-DQB1*03:02  Malaysia Peninsular Malay 0.0526951
 90  A*11:01-B*51:01-C*15:02-DRB1*04:04-DQB1*03:02  India South UCBB 0.052111,446
 91  A*02:01-B*51:01-C*15:02-DRB1*04:03-DQB1*03:02  India Tamil Nadu 0.05122,492
 92  A*02:11-B*51:01-C*15:02-DRB1*04:01-DQB1*03:02  India Tamil Nadu 0.05122,492
 93  A*02:11-B*51:01-C*15:02-DRB1*04:03-DQB1*03:02  India Tamil Nadu 0.05122,492
 94  A*32:01-B*51:01-C*15:04-DRB1*04:03-DQB1*03:02  Germany DKMS - Turkey minority 0.05104,856
 95  A*11-B*51-C*15-DRB1*04-DQB1*03-DPB1*03  Norway ethnic Norwegians 0.05004,510
 96  A*11:01-B*51:01-C*15:02-DRB1*04:04-DQB1*03:02-DPB1*03:01  Germany DKMS - German donors 0.04973,456,066
 97  A*01:01-B*51:01-C*15:02-DRB1*04:02-DQB1*03:02  USA Hispanic pop 2 0.04701,999
 98  A*02:01-B*51:01-C*15:02-DRB1*04:11-DQB1*03:02  USA Hispanic pop 2 0.04701,999
 99  A*31:01-B*51:01-C*15:02-DRB1*04:02-DQB1*03:02  Germany DKMS - Turkey minority 0.04704,856
 100  A*31:01-B*51:01-C*15:02-DRB1*04:07-DQB1*03:01  USA Hispanic pop 2 0.04701,999

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 339) records   Pages: 1 2 3 4 of 4  


   

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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