Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Displaying 1 to 58 (from 58) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*23:01-B*44:03-C*04:01-DRB1*07:01-DQA1*02:01-DQB1*02:02  Kosovo 2.4190124
 2  A*23:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Parda 1.7647170
 3  A*23:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02  Poland 1.0000200
 4  A*23:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.937323,595
 5  A*23:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.85504,335
 6  A*23:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02  Russia Nizhny Novgorod, Russians 0.82201,510
 7  A*23:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:01  USA Hispanic pop 2 0.72601,999
 8  A*23:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:01  Germany DKMS - Italy minority 0.63101,159
 9  A*23:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.6230405
 10  A*23:01-B*44:03-C*04:01-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP European Caucasian 0.58701,242,890
 11  A*23:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:01  Colombia Bogotá Cord Blood 0.46881,463
 12  A*23:01-B*44:03-C*04:01-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP Hispanic South or Central American 0.4646146,714
 13  A*23:01-B*44:03-C*04:01-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP North American Amerindian 0.430735,791
 14  A*23:01-B*44:03-C*04:01-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP Middle Eastern or North Coast of Africa 0.426070,890
 15  A*23:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQA1*02:01:01-DQB1*02:02-DPA1*01:03:01-DPB1*13:01:01  Russian Federation Vologda Region 0.4202119
 16  A*23:01:01-B*44:03:01-C*04:01:01-DRB1*07:01-DQB1*02:02  Russia Bashkortostan, Bashkirs 0.4167120
 17  A*23:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:01  USA NMDP American Indian South or Central America 0.39835,926
 18  A*23:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.3891521
 19  A*23:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:01-DPB1*02:01  Russia Karelia 0.38901,075
 20  A*23:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:01  USA NMDP Alaska Native or Aleut 0.35911,376
 21  A*23:01-B*44:03-C*04:01-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP Mexican or Chicano 0.3487261,235
 22  A*23:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQA1*02:01:01-DQB1*02:02-DPA1*01:03:01-DPB1*04:02:01  Russia Belgorod region 0.3268153
 23  A*23:01-B*44:03-C*04:01-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP Caribean Hispanic 0.3205115,374
 24  A*23:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01  India Karnataka Kannada Speaking 0.2870174
 25  A*23:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:01-DPB1*02:01  Germany DKMS - German donors 0.28233,456,066
 26  A*23:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01  India Kerala Malayalam speaking 0.2810356
 27  A*23:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:01  Germany DKMS - Turkey minority 0.27704,856
 28  A*23:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02  India Central UCBB 0.25174,204
 29  A*23:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:01  USA NMDP Caribean Indian 0.243114,339
 30  A*23:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:01-DPB1*04:01  Germany DKMS - German donors 0.23953,456,066
 31  A*23:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:01  USA African American pop 4 0.22302,411
 32  A*23:01-B*44:03-C*04:01-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*17:01  Sri Lanka Colombo 0.2101714
 33  A*23:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:01  USA NMDP Hawaiian or other Pacific Islander 0.195811,499
 34  A*23:01-B*44:03-C*04:01-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP Caribean Black 0.190433,328
 35  A*23:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:01  USA NMDP Black South or Central American 0.17594,889
 36  A*23:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:01-DPB1*14:01  Russia Karelia 0.16941,075
 37  A*23:01-B*44:03-C*04:01-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP African American pop 2 0.1638416,581
 38  A*23:01-B*44:03-C*04:01-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP African 0.162828,557
 39  A*23:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:01  India Tamil Nadu 0.16062,492
 40  A*23:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02  India South UCBB 0.100211,446
 41  A*23:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:01-DPB1*04:02  Germany DKMS - German donors 0.08383,456,066
 42  A*23:01-B*44:03-C*04:01-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP South Asian Indian 0.0836185,391
 43  A*23:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02  India West UCBB 0.06435,829
 44  A*23:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02  India North UCBB 0.05145,849
 45  A*23:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02  India East UCBB 0.04062,403
 46  A*23:01-B*44:03-C*04:01-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP Filipino 0.037350,614
 47  A*23:01-B*44:130-C*04:01-DRB1*07:01-DQB1*02:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 48  A*23:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:01-DPB1*17:01  Germany DKMS - German donors 0.03333,456,066
 49  A*23:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01  China Zhejiang Han 0.02881,734
 50  A*23:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:01-DPB1*03:01  Germany DKMS - German donors 0.02803,456,066
 51  A*23:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:01-DPB1*13:01  Germany DKMS - German donors 0.02673,456,066
 52  A*23:01-B*44:03-C*04:01-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP Chinese 0.018299,672
 53  A*23:01-B*44:03-C*04:01-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP Japanese 0.017224,582
 54  A*23:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:01-DPB1*11:01  Germany DKMS - German donors 0.01573,456,066
 55  A*23:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:01-DPB1*10:01  Germany DKMS - German donors 0.01373,456,066
 56  A*23:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:01-DPB1*14:01  Germany DKMS - German donors 0.01343,456,066
 57  A*23:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:01-DPB1*01:01  Germany DKMS - German donors 0.01303,456,066
 58  A*23:01-B*44:03-C*04:01-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP Korean 0.001777,584

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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