Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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A B C DRB1 DPA1 DPB1 DQA1 DQB1

Population:  Country:  Source of dataset : 
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Sample Size:      Sample Year:     Loci Tested: 
Displaying 1 to 100 (from 124) records   Pages: 1 2 of 2  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*29-B*49-DRB1*15-DQB1*06  Mexico Jalisco, Tlaquepaque 2.564139
 2  A*02-B*49-DRB1*15-DQB1*06  Mexico Sonora Rural 1.2690197
 3  A*30-B*49-C*07:01-DRB1*15-DQB1*06  Russia North Ossetian 1.1800127
 4  A*68-B*49-DRB1*15-DQB1*06  Mexico Campeche Rural 1.063847
 5  A*29-B*49-DRB1*15-DQB1*06  Mexico Chiapas Rural 0.8264121
 6  A*11-B*49-DRB1*15-DQB1*06  Mexico Nayarit Rural 0.781264
 7  A*02-B*49-DRB1*15-DQB1*06  Mexico Sonora, Ciudad Obregón 0.6993143
 8  A*11:01:01:01-B*49:01:01-C*07:01:01-DRB1*15:01:01-DQB1*06:02:01  Russia Bashkortostan, Tatars 0.5208192
 9  A*01:01-B*49:01-DRB1*15:01-DQB1*06:02  Iran Tabriz Azeris 0.515597
 10  A*23:01-B*49:01-DRB1*15:01-DQB1*06:02  Iran Tabriz Azeris 0.515597
 11  A*02-B*49-DRB1*15-DQB1*06  Mexico Sonora, Hermosillo 0.505199
 12  A*02-B*49-DRB1*15-DQB1*06  Mexico Baja Californa, Mexicali 0.5000100
 13  A*29:01-B*49:01-C*07:01-DRB1*15:03-DQA1*01:02-DQB1*06:02-DPB1*18:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 14  A*24-B*49-DRB1*15-DQB1*06  Mexico Tamaulipas Rural 0.3968125
 15  A*68:02:01-B*49:01:01-C*03:04:02-DRB1*15:03:01-DQB1*06:02:01-DPA1*03:01:01-DPB1*105:01:01  Brazil Rio de Janeiro Caucasian 0.3891521
 16  A*29:02-B*49:01-C*07:01-DRB1*15:03-DQB1*06:02  USA African American pop 4 0.36802,411
 17  A*32-B*49-DRB1*15-DQB1*06  Mexico Tabasco Rural 0.3521142
 18  A*01-B*49-DRB1*15-DQB1*06  Mexico Sonora, Ciudad Obregón 0.3497143
 19  A*31:01:02-B*49:01:01-C*04:01:01-DRB1*15:02:01-DQB1*06:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Barra Mansa Rio State Caucasian 0.3125405
 20  A*23-B*49-DRB1*15:01-DQA1*01:02-DQB1*06:02  Brazil Paraná Caucasian 0.3120641
 21  A*02-B*49-DRB1*15-DQB1*06  Mexico Oaxaca Rural 0.3080485
 22  A*29:02-B*49:01-C*07:01-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPB1*11:01  South Africa Worcester 0.3000159
 23  A*68:01:02-B*49:01:01-C*12:03:01-DRB1*15:02:01-DQB1*06:03:01  India Karnataka Kannada Speaking 0.2870174
 24  A*24-B*49-DRB1*15-DQB1*06  Mexico Tlaxcala, Tlaxcala city 0.2762181
 25  A*02-B*49-DRB1*15-DQB1*06  Mexico Mexico City North 0.2656751
 26  A*01:01-B*49:01-C*07:01-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPB1*05:01  USA San Diego 0.2600496
 27  A*02:01-B*49:01-C*07:01-DRB1*15:03-DQB1*06:02  USA African American pop 4 0.24102,411
 28  A*11-B*49-DRB1*15-DQB1*06  Mexico Nuevo Leon Rural 0.2273439
 29  A*23-B*49-DRB1*15-DQB1*06  Mexico Nuevo Leon, Monterrey city 0.2212226
 30  A*32-B*49-DRB1*15-DQB1*06  Mexico Nuevo Leon, Monterrey city 0.2212226
 31  A*03-B*49-DRB1*15-DQB1*06  Mexico Oaxaca Rural 0.2053485
 32  A*29:02-B*49:01-C*07:01-DRB1*15:03-DQB1*06:02-DPB1*04:02  Panama 0.1900462
 33  A*29:02-B*49:01-C*07:01-DRB1*15:03-DQB1*06:02  USA NMDP Black South or Central American 0.16884,889
 34  A*31:01:02-B*49:01:01-C*12:02:02-DRB1*15:02:01-DQB1*06:04:01  India Kerala Malayalam speaking 0.1400356
 35  A*01:01-B*49:01-C*07:01-DRB1*15:03-DQB1*06:02  USA African American pop 4 0.13102,411
 36  A*02-B*49-DRB1*15-DQB1*06  Mexico Jalisco, Guadalajara city 0.12561,189
 37  A*01-B*49-DRB1*15-DQB1*06  Mexico Coahuila, Torreon 0.1250396
 38  A*02-B*49-DRB1*15-DQB1*06  Mexico Tlaxcala Rural 0.1205830
 39  A*68-B*49-DRB1*15-DQB1*06  Mexico Puebla Rural 0.1199833
 40  A*11-B*49-DRB1*15:01-DQA1*01:02-DQB1*06:02  Brazil Paraná Caucasian 0.0908641
 41  A*03:01-B*49:01-C*07:01-DRB1*15:03-DQB1*06:02  USA African American pop 4 0.08702,411
 42  A*30:02-B*49:01-C*07:01-DRB1*15:03-DQB1*06:02  USA African American pop 4 0.08702,411
 43  A*23:01-B*49:01-C*07:01-DRB1*15:01-DQB1*06:02  Germany DKMS - Turkey minority 0.08004,856
 44  A*26:01-B*49:01-C*07:01-DRB1*15:01-DQA1*01:02-DQB1*06:48-DPB1*14:01  Sri Lanka Colombo 0.0700714
 45  A*23-B*49-C*07-DRB1*15-DQA1*01-DQB1*06  Spain, Castilla y Leon, Northwest, 0.06831,743
 46  A*03-B*49-DRB1*15-DQB1*06  Mexico Puebla Rural 0.0600833
 47  A*11-B*49-DRB1*15-DQB1*06  Mexico Puebla Rural 0.0600833
 48  A*23-B*49-DRB1*15-DQB1*06  Mexico Puebla Rural 0.0600833
 49  A*23:01-B*49:01-C*07:01-DRB1*15:02-DQB1*06:01  Germany DKMS - Turkey minority 0.05504,856
 50  A*03-B*49-DRB1*15-DQB1*06  Mexico Puebla, Puebla city 0.05011,994
 51  A*03:01-B*49:01-C*07:01-DRB1*15:01-DQB1*06:02  Germany DKMS - Turkey minority 0.05004,856
 52  A*01:02-B*49:01-C*07:01-DRB1*15:03-DQB1*06:02  USA African American pop 4 0.04402,411
 53  A*26:01-B*49:01-C*07:01-DRB1*15:03-DQB1*06:02  USA African American pop 4 0.04402,411
 54  A*02:01-B*49:01-C*02:02-DRB1*15:01-DQB1*06:04  Germany DKMS - Italy minority 0.04301,159
 55  A*29:01-B*49:01-C*07:01-DRB1*15:01-DQB1*06:02  Germany DKMS - Italy minority 0.04301,159
 56  A*01-B*49-DRB1*15-DQB1*06  Mexico Jalisco, Guadalajara city 0.04191,189
 57  A*24-B*49-DRB1*15-DQB1*06  Mexico Jalisco, Guadalajara city 0.04191,189
 58  A*30-B*49-DRB1*15-DQB1*06  Mexico Jalisco, Guadalajara city 0.04191,189
 59  A*68-B*49-DRB1*15-DQB1*06  Mexico Jalisco, Guadalajara city 0.04191,189
 60  A*26:01:01-B*49:01:01-C*07:01:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.041023,595
 61  A*23:01:01-B*49:01:01-C*07:01:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.035823,595
 62  A*24-B*49-C*07-DRB1*15-DQA1*01-DQB1*06  Spain, Castilla y Leon, Northwest, 0.03431,743
 63  A*23:01-B*49:01-C*07:01-DRB1*15:02-DQB1*06:01  India North UCBB 0.03425,849
 64  A*03:01-B*49:01-C*18:01-DRB1*15:03-DQB1*06:02  Colombia Bogotá Cord Blood 0.03421,463
 65  A*68:02-B*49:01-C*03:04-DRB1*15:03-DQB1*06:02  Colombia Bogotá Cord Blood 0.03421,463
 66  A*03:01-B*49:01-C*07:01-DRB1*15:01-DQB1*06:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 67  A*24:02-B*49:01-C*05:01-DRB1*15:01-DQB1*06:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 68  A*24:02-B*49:01-C*07:01-DRB1*15:01-DQB1*06:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 69  A*29:02-B*49:01-C*07:01-DRB1*15:01-DQB1*06:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 70  A*01-B*49-C*07-DRB1*15-DQA1*01-DQB1*06  Spain, Castilla y Leon, Northwest, 0.03281,743
 71  A*32-B*49-C*07-DRB1*15-DQA1*01-DQB1*06  Spain, Castilla y Leon, Northwest, 0.03281,743
 72  A*11:01-B*49:01-C*07:01-DRB1*15:01-DQB1*06:02  Germany DKMS - Turkey minority 0.03104,856
 73  A*23-B*49-C*07-DRB1*15-DQB1*06-DPB1*04  Norway ethnic Norwegians 0.03004,510
 74  A*23-B*49-C*07-DRB1*15-DQB1*06-DPB1*14  Norway ethnic Norwegians 0.03004,510
 75  A*24-B*49-C*07-DRB1*15-DQB1*06-DPB1*04  Norway ethnic Norwegians 0.03004,510
 76  A*23:01-B*49:01-C*07:01-DRB1*15:01-DQB1*06:02  India North UCBB 0.02565,849
 77  A*11-B*49-DRB1*15-DQB1*06  Mexico Puebla, Puebla city 0.02511,994
 78  A*23-B*49-DRB1*15-DQB1*06  Mexico Puebla, Puebla city 0.02511,994
 79  A*32:01-B*49:01-C*07:01-DRB1*15:01-DQB1*06:02  Germany DKMS - Turkey minority 0.02404,856
 80  A*11:01-B*49:01-C*07:01-DRB1*15:01-DQB1*06:02  India East UCBB 0.02082,403
 81  A*33:03-B*49:01-C*07:01-DRB1*15:01-DQB1*06:02  India East UCBB 0.02082,403
 82  A*68:01-B*49:01-C*07:01-DRB1*15:02-DQB1*06:01  India East UCBB 0.02082,403
 83  A*32:01-B*49:01-C*07:01-DRB1*15:01-DQB1*06:02  India Tamil Nadu 0.02012,492
 84  A*23:01-B*49:01-C*03:04-DRB1*15:01-DQB1*06:02  India Tamil Nadu 0.02012,492
 85  A*23-B*49-C*07-DRB1*15-DQB1*06-DPB1*01  Norway ethnic Norwegians 0.02004,510
 86  A*23-B*49-C*07-DRB1*15-DQB1*06-DPB1*02  Norway ethnic Norwegians 0.02004,510
 87  A*11:01-B*49:01-C*07:01-DRB1*15:01-DQB1*06:02  India West UCBB 0.01725,829
 88  A*32:01-B*49:01-C*07:01-DRB1*15:02-DQB1*06:01  India West UCBB 0.01725,829
 89  A*01:01:01-B*49:01:01-C*07:01:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.014423,595
 90  A*23:01-B*49:01-C*07:01-DRB1*15:01-DQB1*06:02-DPB1*04:01  Germany DKMS - German donors 0.01353,456,066
 91  A*24:02:01-B*49:01:01-C*07:01:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.013523,595
 92  A*02:01-B*49:01-C*14:02-DRB1*15:01-DQB1*06:01  India Central UCBB 0.01194,204
 93  A*11:01-B*49:01-C*07:01-DRB1*15:01-DQB1*06:02  India Central UCBB 0.01194,204
 94  A*11:01-B*49:01-C*07:01-DRB1*15:02-DQB1*06:01  India North UCBB 0.01075,849
 95  A*03:01-B*49:01-C*07:01-DRB1*15:02-DQB1*06:01  Germany DKMS - Turkey minority 0.01004,856
 96  A*29:01-B*49:01-C*07:01-DRB1*15:01-DQB1*06:02  Germany DKMS - Turkey minority 0.01004,856
 97  A*30-B*49-C*07-DRB1*15-DQB1*06-DPB1*04  Norway ethnic Norwegians 0.01004,510
 98  A*32-B*49-C*07-DRB1*15-DQB1*06-DPB1*04  Norway ethnic Norwegians 0.01004,510
 99  A*03:01-B*49:01-C*07:01-DRB1*15:01-DQB1*06:02  India South UCBB 0.008711,446
 100  A*23:01-B*49:01-C*07:01-DRB1*15:01-DQB1*06:02  India South UCBB 0.008711,446

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 124) 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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