Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Displaying 1 to 81 (from 81) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*26:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  Colombia North Wiwa El Encanto 1.923152
 2  A*26-B*38-DRB1*13-DQB1*06  Mexico Mexico City South 1.923152
 3  A*26-B*38-DRB1*13:01-DRB3*02:02-DQA1*01:03-DQB1*06:03  Spain Murcia 1.9000173
 4  A*26-B*38-DRB1*13-DQA1*01:03-DQB1*06:03  Georgia Svaneti Region Svan 1.900080
 5  A*26:01-B*38:01-DRB1*13:01-DQB1*06:02  Iran Yazd 1.785756
 6  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
 7  A*26-B*38-C*12-DRB1*13-DQB1*06  Spain Majorcans Jews 1.7000103
 8  A*26-B*38-C*12-DRB1*13-DQB1*06  Spain Minorca 1.600094
 9  A*26-B*38-C*12-DRB1*13-DQB1*06  Albanian Kosovo 1.2500120
 10  A*26-B*38-DRB1*13:02-DQB1*06:04  Spain North Cantabria 1.200083
 11  A*26-B*38-DRB1*13-DQB1*06:02  Cuba Mixed 1.200078
 12  A*26-B*38-DRB1*13-DQB1*06  Mexico Sinaloa, Culiacán 0.9709103
 13  A*26:01-B*38:01-DRB1*13:01-DQB1*06:02  Iran Saqqez-Baneh Kurds 0.833360
 14  A*26-B*38-DRB1*13-DQB1*06  Mexico Tamaulipas Rural 0.7937125
 15  A*26-B*38-DRB1*13-DQB1*06  Mexico Sonora Rural 0.7614197
 16  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
 17  A*26:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.68404,335
 18  A*26-B*38-DRB1*13-DQB1*06  Mexico Baja California, La Paz 0.666775
 19  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
 20  A*26-B*38-DRB1*13-DQB1*06  Mexico Zacatecas, Zacatecas city 0.595284
 21  A*26-B*38-DRB1*13-DQB1*06  Mexico Jalisco, Zapopan 0.5952168
 22  A*26:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  Italy pop 5 0.5900975
 23  A*26:01:01-B*38:02:01-C*07:02:01-DRB1*13:02:01-DQB1*06:09:01  Vietnam Kinh 0.4950101
 24  A*26:01-B*38:01-DRB1*13:01-DQB1*06:03  Peru Titikaka Lake Uros 0.4800105
 25  A*26:01-B*38:06-C*12:03-E*01:03:02-F*01:01:01-G*01:01-DRB1*13:01-DQA1*01:03-DQB1*06:03  Portugal Azores Terceira Island 0.4386130
 26  A*26:02-B*38:06-C*04:01-E*01:03:02-F*01:01:01-G*01:01-DRB1*13:01-DQA1*01:03-DQB1*06:03  Portugal Azores Terceira Island 0.4386130
 27  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
 28  A*26-B*38-DRB1*13-DQB1*06  Mexico Chihuahua Rural 0.4184236
 29  A*26:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  Germany DKMS - Turkey minority 0.39804,856
 30  A*26-B*38-C*03:03-DRB1*13-DQB1*06  Russia North Ossetian 0.3900127
 31  A*26-B*38-DRB1*13-DQB1*06  Guatemala, Guatemala City Mixed Ancestry 0.3900127
 32  A*26-B*38-DRB1*13-DQB1*06  Mexico Zacatecas Rural 0.3717266
 33  A*26:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  Germany DKMS - Italy minority 0.34501,159
 34  A*26-B*38-C*07-DRB1*13-DQB1*06  Albania pop 2 0.3400432
 35  A*26-B*38-DRB1*13-DQB1*06  Mexico Durango, Durango city 0.3226153
 36  A*26:01:01-B*38:01:01-C*07:01:01-DRB1*13:02:01-DQB1*06:04:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Barra Mansa Rio State Caucasian 0.3125405
 37  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
 38  A*26-B*38-DRB1*13:01-DQA1*01:03-DQB1*06:03  Brazil Paraná Caucasian 0.3120641
 39  A*26-B*38-C*12-DRB1*13-DQA1*01-DQB1*06  Spain, Castilla y Leon, Northwest, 0.28661,743
 40  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
 41  A*26:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03-DPB1*05:01  Russia Karelia 0.22561,075
 42  A*26-B*38-DRB1*13-DQB1*06  Ecuador Coast Mixed Ancestry 0.2101238
 43  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
 44  A*26:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03-DPB1*04:01  Russia Karelia 0.16891,075
 45  A*26:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  India North UCBB 0.15935,849
 46  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
 47  A*26:01-B*38:01-C*12:03-DRB1*13:02-DQB1*06:04  Germany DKMS - Italy minority 0.15201,159
 48  A*26-B*38-DRB1*13-DQB1*06  Mexico Michoacan Rural 0.1433348
 49  A*26:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  Colombia Bogotá Cord Blood 0.14131,463
 50  A*26:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  USA Hispanic pop 2 0.14001,999
 51  A*26-B*38-DRB1*13-DQB1*06  Ecuador Mixed Ancestry 0.12791,173
 52  A*26-B*38-DRB1*13-DQB1*06  Mexico Coahuila, Torreon 0.1250396
 53  A*26-B*38-DRB1*13-DQB1*06  Ecuador Andes Mixed Ancestry 0.1214824
 54  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
 55  A*26:01-B*38:01-C*12:03-DRB1*13:02-DQB1*06:04  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.10304,335
 56  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
 57  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
 58  A*26:01:01-B*38:01:01-C*12:03:01-DRB1*13:02:01-DQB1*06:09:01  Costa Rica Central Valley Mestizo (G) 0.0854221
 59  A*26-B*38-DRB1*13-DQB1*06  Mexico Jalisco, Guadalajara city 0.08381,189
 60  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
 61  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
 62  A*26:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  India Central UCBB 0.06854,204
 63  A*26:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03-DPB1*03:01  Russia Karelia 0.06431,075
 64  A*26:01-B*38:01-C*12:03-DRB1*13:02-DQB1*06:09  Germany DKMS - Italy minority 0.06401,159
 65  A*26:01-B*38:01-C*12:03-DRB1*13:02-DQB1*06:04-DPB1*04:01  Russia Karelia 0.05651,075
 66  A*26:01-B*38:01-C*12:03-DRB1*13:02-DQB1*06:09  USA Hispanic pop 2 0.04701,999
 67  A*26:01:01-B*38:01:01-C*12:03:01-DRB1*13:02:01-DQB1*06:04  Costa Rica Central Valley Mestizo (G) 0.0470221
 68  A*26:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  India West UCBB 0.03435,829
 69  A*26:01-B*38:01-C*12:03-DRB1*13:02-DQB1*06:09  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 70  A*26:01:01-B*38:01:01-C*12:03:01:01-DRB1*13:02:01-DQB1*06:09:01  Russia Nizhny Novgorod, Russians 0.03311,510
 71  A*26-B*38-DRB1*13-DQB1*06  Mexico Puebla, Puebla city 0.02511,994
 72  A*26:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03-DPB1*04:02  Germany DKMS - German donors 0.02343,456,066
 73  A*26:01:01-B*38:01:01-C*12:03:01-DRB1*13:02:01-DQB1*06:03  Costa Rica Central Valley Mestizo (G) 0.0213221
 74  A*26:01:01-B*38:01:01-C*12:03:01-DRB1*13:02:01-DQB1*06:04:01  Poland BMR 0.019523,595
 75  A*26:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03-DPB1*03:01  Germany DKMS - German donors 0.01473,456,066
 76  A*26:01-B*38:01-C*12:03-DRB1*13:02-DQB1*06:04  Germany DKMS - Turkey minority 0.01404,856
 77  A*26-B*38-C*12-DRB1*13-DQB1*06-DPB1*02  Norway ethnic Norwegians 0.01004,510
 78  A*26:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  India South UCBB 0.008711,446
 79  A*26:01:01-B*38:01:01-C*12:34-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.008523,595
 80  A*26:01:01-B*38:01:01-C*12:03:01-DRB1*13:02:01-DQB1*06:09:01  Poland BMR 0.005423,595
 81  A*26:01:01-B*38:01:01-C*12:03:01-DRB1*13:01:01-DQB1*06:02:01  Poland BMR 0.004323,595

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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