Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Population:  Country:  Source of dataset : 
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Sample Size:      Sample Year:     Loci Tested: 
Displaying 1 to 67 (from 67) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*11:01:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01  Russia Nizhny Novgorod, Russians 0.67021,510
 2  A*11:01:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01  Russia Bashkortostan, Tatars 0.7812192
 3  A*11:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQA1*01:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*03:01  Russian Federation Vologda Region 0.4202119
 4  A*11:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQA1*01:01:01-DQB1*05:01-DPA1*01:03:01-DPB1*04:02  Russia Belgorod region 1.3072153
 5  A*11:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQA1*01:01:01-DQB1*05:01-DPA1*01:03:01-DPB1*09:01  Russia Belgorod region 0.3268153
 6  A*11:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01:01  India Kerala Malayalam speaking 1.1790356
 7  A*11:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.486023,595
 8  A*11:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01:01  Spain, Canary Islands, Gran canaria island 0.4700215
 9  A*11:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.5837521
 10  A*11:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQA1*01:01:01-DQB1*05:01-DPA1*01:03:01-DPB1*04:02  Russian Federation Vologda Region 0.4202119
 11  A*11:01-B*35:01-C*04:01-DRB1*01:01-DQA1*01:01-DQB1*05:01  Mexico Tixcacaltuyub Maya 0.746367
 12  A*11:01-B*35:01-C*04:01-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPA1*01:03-DPB1*02:01  United Arab Emirates Pop 1 0.0467570
 13  A*11:01-B*35:01-C*04:01-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPA1*01:03-DPB1*04:01  United Arab Emirates Pop 1 0.0935570
 14  A*11:01-B*35:01-C*04:01-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPA1*01:03-DPB1*04:02  United Arab Emirates Pop 1 0.0467570
 15  A*11:01-B*35:01-C*04:01-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*02:01  South Africa Worcester 0.6000159
 16  A*11:01-B*35:01-C*04:01-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*04:01  USA San Diego 0.2600496
 17  A*11:01-B*35:01-C*04:01-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*04:02  Nicaragua Managua 0.2165339
 18  A*11:01-B*35:01-C*04:01-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*17:01  Sri Lanka Colombo 0.0700714
 19  A*11:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  Colombia Bogotá Cord Blood 0.20511,463
 20  A*11:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  Germany DKMS - Turkey minority 0.40404,856
 21  A*11:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  Germany DKMS - Italy minority 0.44501,159
 22  A*11:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  India Tamil Nadu 0.07872,492
 23  A*11:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  India Central UCBB 0.30494,204
 24  A*11:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  India South UCBB 0.200011,446
 25  A*11:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  India East UCBB 0.48292,403
 26  A*11:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  India Northeast UCBB 1.0135296
 27  A*11:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  India North UCBB 0.39425,849
 28  A*11:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  India West UCBB 0.34645,829
 29  A*11:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  Italy pop 5 0.2900975
 30  A*11:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  Malaysia Peninsular Indian 0.3690271
 31  A*11:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  Mexico Mexico City Mestizo population 0.3497143
 32  A*11:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.51304,335
 33  A*11:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  USA Hispanic pop 2 0.18401,999
 34  A*11:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  USA African American pop 4 0.04402,411
 35  A*11:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  USA Asian pop 2 0.22201,772
 36  A*11:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  USA NMDP Alaska Native or Aleut 0.23911,376
 37  A*11:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  USA NMDP American Indian South or Central America 0.41665,926
 38  A*11:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  USA NMDP Caribean Indian 0.224214,339
 39  A*11:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  USA NMDP Black South or Central American 0.21644,889
 40  A*11:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01-DPB1*01:01  Germany DKMS - German donors 0.01163,456,066
 41  A*11:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01-DPB1*02:01  Germany DKMS - German donors 0.08113,456,066
 42  A*11:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01-DPB1*03:01  Germany DKMS - German donors 0.03133,456,066
 43  A*11:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01-DPB1*03:01  Russia Karelia 0.05701,075
 44  A*11:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01-DPB1*04:01  Germany DKMS - German donors 0.17513,456,066
 45  A*11:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01-DPB1*04:01  Russia Karelia 0.39421,075
 46  A*11:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01-DPB1*04:02  Germany DKMS - German donors 0.20753,456,066
 47  A*11:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01-DPB1*04:02  Russia Karelia 0.32101,075
 48  A*11:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01-DPB1*09:01  Germany DKMS - German donors 0.02013,456,066
 49  A*11:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01-DPB1*10:01  Germany DKMS - German donors 0.02353,456,066
 50  A*11:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01-DPB1*19:01  Russia Karelia 0.05611,075
 51  A*11:01-B*35:01-C*04:01-DRB1*01:01-DRBX*NNNN-DQB1*05:01  USA NMDP Korean 0.014377,584
 52  A*11:01-B*35:01-C*04:01-DRB1*01:01-DRBX*NNNN-DQB1*05:01  USA NMDP African American pop 2 0.1054416,581
 53  A*11:01-B*35:01-C*04:01-DRB1*01:01-DRBX*NNNN-DQB1*05:01  USA NMDP Mexican or Chicano 0.3081261,235
 54  A*11:01-B*35:01-C*04:01-DRB1*01:01-DRBX*NNNN-DQB1*05:01  USA NMDP Southeast Asian 0.208827,978
 55  A*11:01-B*35:01-C*04:01-DRB1*01:01-DRBX*NNNN-DQB1*05:01  USA NMDP European Caucasian 0.56671,242,890
 56  A*11:01-B*35:01-C*04:01-DRB1*01:01-DRBX*NNNN-DQB1*05:01  USA NMDP Caribean Black 0.083933,328
 57  A*11:01-B*35:01-C*04:01-DRB1*01:01-DRBX*NNNN-DQB1*05:01  USA NMDP Middle Eastern or North Coast of Africa 0.364370,890
 58  A*11:01-B*35:01-C*04:01-DRB1*01:01-DRBX*NNNN-DQB1*05:01  USA NMDP South Asian Indian 0.3421185,391
 59  A*11:01-B*35:01-C*04:01-DRB1*01:01-DRBX*NNNN-DQB1*05:01  USA NMDP Vietnamese 0.027043,540
 60  A*11:01-B*35:01-C*04:01-DRB1*01:01-DRBX*NNNN-DQB1*05:01  USA NMDP Hispanic South or Central American 0.3500146,714
 61  A*11:01-B*35:01-C*04:01-DRB1*01:01-DRBX*NNNN-DQB1*05:01  USA NMDP Filipino 0.058850,614
 62  A*11:01-B*35:01-C*04:01-DRB1*01:01-DRBX*NNNN-DQB1*05:01  USA NMDP North American Amerindian 0.434135,791
 63  A*11:01-B*35:01-C*04:01-DRB1*01:01-DRBX*NNNN-DQB1*05:01  USA NMDP Caribean Hispanic 0.3627115,374
 64  A*11:01-B*35:01-C*04:01-DRB1*01:01-DRBX*NNNN-DQB1*05:01  USA NMDP Japanese 0.024324,582
 65  A*11:01-B*35:01-C*04:01-DRB1*01:01-DRBX*NNNN-DQB1*05:01  USA NMDP Chinese 0.024599,672
 66  A*11:01-B*35:01-C*04:01-DRB1*01:01-DRBX*NNNN-DQB1*05:01  USA NMDP African 0.047128,557
 67  A*11:01-B*35:01-C*04:01-E*01:01:01-F*01:01:02-G*01:04-DRB1*01:01-DQA1*01:01-DQB1*05:01  Portugal Azores Terceira Island 0.4386130

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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