Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Displaying 1 to 100 (from 169) records   Pages: 1 2 of 2  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*03:01-B*44:02-DRB1*11:01-DQB1*03:01  Iran Kurd pop 2 2.500060
 2  A*68:01:02-B*44:02:01-C*07:04:01-DRB1*11:01:01-DQA1*05:05:01-DQB1*03:01-DPA1*01:03:01-DPB1*02:01:02  Russia Belgorod region 0.9804153
 3  A*32:01-B*44:02-DRB1*11:01-DQB1*03:01  Iran Saqqez-Baneh Kurds 0.833360
 4  A*02:01-B*44:02-C*05:01-DRB1*11:01-DQB1*03:01  Germany DKMS - Italy minority 0.45101,159
 5  A*02:01-B*44:02-C*05:01-DRB1*11:01-DQB1*03:01  Italy pop 5 0.4400975
 6  A*11:01-B*44:02-C*07:04-E*01:01:01-F*01:01:02-G*01:06-DRB1*11:01-DQA1*06:01-DQB1*03:01  Portugal Azores Terceira Island 0.4386130
 7  A*68:01-B*44:02-C*07:04-E*01:01:01-F*01:01:02-G*01:01-DRB1*11:01-DQA1*05:05-DQB1*03:01  Portugal Azores Terceira Island 0.4386130
 8  A*25:01:01-B*44:02:01-C*12:03:01-DRB1*11:01:01-DQA1*05:05:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*05:01:01  Russian Federation Vologda Region 0.4202119
 9  A*68:01:02:02-B*44:02:01:03-C*07:04:01-DRB1*11:01:01-DQB1*03:01  Russia Bashkortostan, Bashkirs 0.4167120
 10  A*68:01-B*44:02-C*07:04-DRB1*11:01-DQB1*03:01-DPB1*04:01  Russia Karelia 0.39941,075
 11  A*02:01:01:01-B*44:02:01:01-C*05:01:01:02-DRB1*11:01:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.33071,510
 12  A*68:01:02-B*44:02:01-C*07:04:01-DRB1*11:01:01-DQA1*05:05:01-DQB1*03:01-DPA1*01:03:01-DPB1*04:01  Russia Belgorod region 0.3268153
 13  A*68:01-B*44:02-C*07:04-DRB1*11:01-DQB1*03:01  Italy pop 5 0.2900975
 14  A*68:01:01:02-B*44:02:01:03-C*07:04:01-DRB1*11:01:01-DQB1*03:01  Russia Bashkortostan, Tatars 0.2604192
 15  A*68:01:02-B*44:02:01-C*07:04:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.244623,595
 16  A*26:01:01-B*44:02:01-C*04:01:01-DRB1*11:01:01-DQB1*03:01:01  Spain, Canary Islands, Gran canaria island 0.2300215
 17  A*68:01:02-B*44:02:01-C*07:04:01-DRB1*11:01-DQB1*03:01  Costa Rica Central Valley Mestizo (G) 0.2262221
 18  A*24:02-B*44:02-C*05:01-DRB1*11:01-DQB1*03:01  England North West 0.2000298
 19  A*25:01-B*44:02-C*05:01-DRB1*11:01-DQB1*03:01  England North West 0.2000298
 20  A*68:01:02:02-B*44:02:01:03-C*07:04:01-DRB1*11:01:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.19851,510
 21  A*02:01-B*44:02-C*05:01-DRB1*11:01-DQB1*03:01-DPB1*04:01  Russia Karelia 0.19171,075
 22  A*29:02-B*44:02-C*16:01-DRB1*11:01-DQB1*03:01-DPB1*02:01  Panama 0.1900462
 23  A*02:01-B*44:02-C*05:01-DRB1*11:01-DQB1*03:01  USA Hispanic pop 2 0.18701,999
 24  A*02:01-B*44:02-C*05:01-DRB1*11:01-DQB1*03:01  USA NMDP American Indian South or Central America 0.16455,926
 25  A*29:01-B*44:02-DRB1*11:01-DQB1*03:01  Mexico Mexico City Tlalpan 0.1515330
 26  A*02:01-B*44:02-C*05:01-DRB1*11:01-DQB1*03:01  Colombia Bogotá Cord Blood 0.13651,463
 27  A*68:01-B*44:02-C*07:04-DRB1*11:01-DQB1*03:01-DPB1*04:01  Germany DKMS - German donors 0.13593,456,066
 28  A*02:01-B*44:02-C*05:01-DRB1*11:01-DQB1*03:01-DPB1*04:01  Germany DKMS - German donors 0.13413,456,066
 29  A*68:01-B*44:02-C*07:04-DRB1*11:01-DQB1*03:01-DPB1*02:01  Germany DKMS - German donors 0.12893,456,066
 30  A*68:01-B*44:02-C*07:04-DRB1*11:01-DQB1*03:01-DPB1*02:01  Russia Karelia 0.12341,075
 31  A*68:01-B*44:02-C*07:04-DRB1*11:01-DQB1*03:01-DPB1*03:01  Russia Karelia 0.11781,075
 32  A*02:01:01-B*44:02:01-C*05:01:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.116723,595
 33  A*02:01-B*44:02-C*07:04-DRB1*11:01-DQB1*03:01  India North UCBB 0.11045,849
 34  A*25:01:01-B*44:02:01:03-C*07:04:01-DRB1*11:01:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.09931,510
 35  A*02:01:01-B*44:02:01-C*07:04:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.097323,595
 36  A*02:05-B*44:02-C*05:01-DRB1*11:01-DQB1*03:01  USA African American pop 4 0.08702,411
 37  A*68:01-B*44:02-C*07:04-DRB1*11:01-DQB1*03:01  USA African American pop 4 0.08702,411
 38  A*02:01-B*44:02-C*07:04-DRB1*11:01-DQB1*03:01-DPB1*04:01  Germany DKMS - German donors 0.07453,456,066
 39  A*25:01:01-B*44:02:01-C*07:04:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.073023,595
 40  A*02:01-B*44:02-C*05:01-DRB1*11:01-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 41  A*02:06-B*44:02-C*03:04-DRB1*11:01-DQB1*03:01  India North UCBB 0.06675,849
 42  A*32:01:01-B*44:02:01:01-C*05:01:01:02-DRB1*11:01:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.06621,510
 43  A*68:01-B*44:02-C*07:04-DRB1*11:01-DQB1*03:01  Germany DKMS - Turkey minority 0.06204,856
 44  A*24:02-B*44:02-C*05:01-DRB1*11:01-DQB1*03:01  Germany DKMS - Italy minority 0.06101,159
 45  A*02:64-B*44:02-C*05:01-DRB1*11:01-DQB1*03:01-DPB1*04:02  Russia Karelia 0.05651,075
 46  A*31:01-B*44:02-C*07:04-DRB1*11:01-DQB1*03:01-DPB1*04:01  Russia Karelia 0.05631,075
 47  A*02:01-B*44:02-C*05:01-DRB1*11:01-DQB1*03:01-DPB1*04:02  Russia Karelia 0.05621,075
 48  A*02:01-B*44:02-C*05:01-DRB1*11:01-DQB1*03:01  Germany DKMS - Turkey minority 0.05504,856
 49  A*02:01-B*44:02-C*07:04-DRB1*11:01-DQB1*03:01  USA Hispanic pop 2 0.04701,999
 50  A*23:01-B*44:02-C*07:04-DRB1*11:01-DQB1*03:01  USA Hispanic pop 2 0.04701,999
 51  A*24:02-B*44:02-C*05:01-DRB1*11:01-DQB1*03:01  USA Hispanic pop 2 0.04701,999
 52  A*03:01-B*44:02-C*07:04-DRB1*11:01-DQB1*03:01-DPB1*04:01  Germany DKMS - German donors 0.04543,456,066
 53  A*02:01-B*44:02-C*05:01-DRB1*11:01-DQB1*03:01-DPB1*04:02  Germany DKMS - German donors 0.04483,456,066
 54  A*02:01-B*44:02-C*07:04-DRB1*11:01-DQB1*03:01  USA African American pop 4 0.04402,411
 55  A*03:01-B*44:02-C*07:04-DRB1*11:01-DQB1*03:01  Germany DKMS - Italy minority 0.04301,159
 56  A*31:01-B*44:02-C*07:04-DRB1*11:01-DQB1*03:01  Germany DKMS - Italy minority 0.04301,159
 57  A*68:01-B*44:02-C*07:04-DRB1*11:01-DQB1*03:01  Germany DKMS - Italy minority 0.04301,159
 58  A*02:01-B*44:02-C*07:04-DRB1*11:01-DQB1*03:01  India East UCBB 0.04162,403
 59  A*02:01-B*44:02-C*07:04-DRB1*11:01-DQB1*03:01-DPB1*02:01  Germany DKMS - German donors 0.03933,456,066
 60  A*02:01-B*44:02-C*05:01-DRB1*11:01-DQB1*03:01  USA Asian pop 2 0.03901,772
 61  A*24:02-B*44:02-C*05:01-DRB1*11:01-DQB1*03:01  Germany DKMS - Turkey minority 0.03704,856
 62  A*03:01-B*44:02-C*05:01-DRB1*11:01-DQB1*03:01  Germany DKMS - Turkey minority 0.03604,856
 63  A*03:01:01-B*44:02:01-C*07:04:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.035623,595
 64  A*03:01-B*44:02-C*16:01-DRB1*11:01-DQB1*03:01  Colombia Bogotá Cord Blood 0.03421,463
 65  A*68:01-B*44:02-C*07:04-DRB1*11:01-DQB1*03:01  Colombia Bogotá Cord Blood 0.03421,463
 66  A*02:05-B*44:02-C*07:04-DRB1*11:01-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 67  A*03:01-B*44:02-C*07:04-DRB1*11:01-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 68  A*03:02-B*44:02-C*05:01-DRB1*11:01-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 69  A*32:01-B*44:02-C*05:01-DRB1*11:01-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 70  A*68:01-B*44:02-C*07:04-DRB1*11:01-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 71  A*32:01-B*44:02-C*05:01-DRB1*11:01-DQB1*03:01  India West UCBB 0.03395,829
 72  A*01:01:01:01-B*44:02:01:01-C*05:01:01:02-DRB1*11:01:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.03351,510
 73  A*03:01:01:01-B*44:02:01:03-C*07:04:01-DRB1*11:01:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.03331,510
 74  A*03:02:01-B*44:02:01:03-C*07:02:01:01-DRB1*11:01:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 75  A*11:01:01:01-B*44:02:01:01-C*05:01:01-DRB1*11:01:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 76  A*24:02:01:01-B*44:02:01:01-C*05:01:01:02-DRB1*11:01:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 77  A*68:01:02:01-B*44:02:01:03-C*07:04:01-DRB1*11:01:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 78  A*01:01-B*44:02-C*16:04-DRB1*11:01-DQB1*03:01  Germany DKMS - Turkey minority 0.03104,856
 79  A*25:01-B*44:02-C*07:04-DRB1*11:01-DQB1*03:01  Germany DKMS - Turkey minority 0.03104,856
 80  A*68:01-B*44:02-C*07:04-DRB1*11:01-DQB1*03:01-DPB1*03:01  Germany DKMS - German donors 0.02933,456,066
 81  A*68:01-B*44:02-C*07:04-DRB1*11:01-DQB1*03:01-DPB1*04:02  Germany DKMS - German donors 0.02713,456,066
 82  A*02:01-B*44:02-C*05:01-DRB1*11:01-DQB1*03:01-DPB1*02:01  Germany DKMS - German donors 0.02633,456,066
 83  A*11:01-B*44:02-C*07:04-DRB1*11:01-DQB1*03:01  India North UCBB 0.02635,849
 84  A*01:01-B*44:02-C*05:01-DRB1*11:01-DQB1*03:01  India North UCBB 0.02415,849
 85  A*02:01-B*44:02-C*07:04-DRB1*11:01-DQB1*03:01  Germany DKMS - Turkey minority 0.02404,856
 86  A*02:01-B*44:02-C*07:04-DRB1*11:01-DQB1*03:01  India Central UCBB 0.02384,204
 87  A*02:06-B*44:02-C*03:04-DRB1*11:01-DQB1*03:01  India Central UCBB 0.02384,204
 88  A*25:01-B*44:02-C*07:04-DRB1*11:01-DQB1*03:01-DPB1*04:01  Germany DKMS - German donors 0.02373,456,066
 89  A*11:01-B*44:02-C*07:04-DRB1*11:01-DQB1*03:01  USA Asian pop 2 0.02201,772
 90  A*01:01-B*44:02-C*07:04-DRB1*11:01-DQB1*03:01-DPB1*04:01  Germany DKMS - German donors 0.02093,456,066
 91  A*02:01-B*44:02-C*05:01-DRB1*11:01-DQB1*03:01  India East UCBB 0.02082,403
 92  A*02:06-B*44:02-C*07:02-DRB1*11:01-DQB1*03:01  India East UCBB 0.02082,403
 93  A*11:01-B*44:02-C*07:04-DRB1*11:01-DQB1*03:01  India East UCBB 0.02082,403
 94  A*30:01:01-B*44:02:01-C*07:04:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.020523,595
 95  A*02:01-B*44:02-C*05:01-DRB1*11:01-DQB1*03:01-DPB1*03:01  Germany DKMS - German donors 0.02043,456,066
 96  A*02:01-B*44:02-C*07:04-DRB1*11:01-DQB1*03:01  India Tamil Nadu 0.02012,492
 97  A*24:02:01-B*44:02:01-C*07:04:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.020023,595
 98  A*24:02:01-B*44:02:01-C*05:01:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.019923,595
 99  A*32:01-B*44:02-C*05:01-DRB1*11:01-DQB1*03:01-DPB1*04:01  Germany DKMS - German donors 0.01963,456,066
 100  A*11:01-B*44:02-C*05:01-DRB1*11:01-DQB1*03:01  India Central UCBB 0.01894,204

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 169) 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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