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 : 
Region:  Ethnic Origin:     Type of study :  Sort by: 
Sample Size:      Sample Year:     Loci Tested: 
Displaying 1,001 to 1,100 (from 16,243) records   Pages: 11 12 13 14 15 16 17 18 19 20 of 163  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1,001  A*11-B*52-DRB1*15-DQB1*06  Mexico Chihuahua Rural 0.8368236
 1,002  A*11:01-B*52:01-C*12:02-DRB1*15:02-DRB5*01:02-DQB1*06:01  USA NMDP South Asian Indian 0.8342185,391
 1,003  A*11:01-B*35:01-DRB1*01:03-DQB1*06:02  Iran Saqqez-Baneh Kurds 0.833360
 1,004  A*11:01-B*35:01-DRB1*14:01-DQB1*06:03  Iran Saqqez-Baneh Kurds 0.833360
 1,005  A*11:01-B*35:01-DRB1*15:01-DQB1*05:02  Iran Saqqez-Baneh Kurds 0.833360
 1,006  A*11:01-B*35:01-DRB1*15:01-DQB1*06:01  Iran Saqqez-Baneh Kurds 0.833360
 1,007  A*11:01-B*35:20-DRB1*01:01-DQB1*05:01  Iran Saqqez-Baneh Kurds 0.833360
 1,008  A*11:01-B*35:27-DRB1*01:02-DQB1*06:02  Iran Saqqez-Baneh Kurds 0.833360
 1,009  A*11:01-B*44:10-DRB1*07:01-DQB1*02:01  Iran Saqqez-Baneh Kurds 0.833360
 1,010  A*11:01-B*51:01-DRB1*11:01-DQB1*03:01  Iran Saqqez-Baneh Kurds 0.833360
 1,011  A*11-B*35-DRB1*04-DQB1*03:02  Mexico Veracruz, Orizaba 0.833360
 1,012  A*11-B*35-DRB1*15-DQB1*05  Mexico Veracruz, Orizaba 0.833360
 1,013  A*11-B*40-DRB1*04:03-DQB1*03:02  Mexico Sinaloa Capomos Mayo Yoremes 0.833360
 1,014  A*11-B*40-DRB1*04:07-DQB1*03:02  Mexico Sinaloa Capomos Mayo Yoremes 0.833360
 1,015  A*11-B*52-DRB1*15-DQB1*06  Mexico Veracruz, Orizaba 0.833360
 1,016  A*11:01-B*18:01-DRB1*11:04  Israel Libya Jews 0.83103,739
 1,017  A*11:01-B*44:03-C*07:06-DRB1*07:01-DQB1*02:02  India East UCBB 0.82892,403
 1,018  A*11:01:01-B*15:01:01-C*04:01:01-DRB1*04:06:01-DQB1*03:02:01  China Zhejiang Han 0.82741,734
 1,019  A*11-B*52-DRB1*15-DQB1*06  Mexico Chiapas Rural 0.8264121
 1,020  A*11-B*35-DRB1*13-DQB1*06  Mexico Colima, Colima city 0.819761
 1,021  A*11-B*51-DRB1*14-DQB1*05  Mexico Colima, Colima city 0.819761
 1,022  A*11:01:01-B*46:01:01-C*01:02:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.81601,734
 1,023  A*11:01:01-B*07:05:01-C*07:02:01-DRB1*15:01:01-DQB1*06:01:01  India Kerala Malayalam speaking 0.8130356
 1,024  A*11:01-B*15:01-DRB1*04:06  Taiwan Tzu Chi Morrow Donor Registry 0.811046,682
 1,025  A*11:01-B*40:01-C*07:02-DRB1*08:03  Germany DKMS - China minority 0.81101,282
 1,026  A*11:01:01-B*52:01:01-C*12:02:02-DRB1*13:01:01-DQB1*06:03:01  India Andhra Pradesh Telugu Speaking 0.8065186
 1,027  A*11:01-B*15:02-C*08:01-DRB1*15:01-DRB5*01:01-DQB1*06:01  USA NMDP Chinese 0.802999,672
 1,028  A*11-B*15-DRB1*15  China Shaanxi Province Han 0.800010,000
 1,029  A*11-B*51-DRB1*04  Iraq Erbil 0.8000372
 1,030  A*11-B*51-DRB1*11  Iraq Erbil 0.8000372
 1,031  A*11:01-B*52:01  USA Asian pop 2 0.79501,772
 1,032  A*11-B*07-C*07-DRB1*12  Myanmar Kachin 0.794063
 1,033  A*11-B*15-C*12-DRB1*11  Myanmar Kachin 0.794063
 1,034  A*11-B*15-C*12-DRB1*14  Myanmar Kachin 0.794063
 1,035  A*11-B*18-C*15-DRB1*04  Myanmar Kachin 0.794063
 1,036  A*11-B*40-C*03-DRB1*04  Myanmar Kachin 0.794063
 1,037  A*11-B*52-C*07-DRB1*04  Myanmar Kachin 0.794063
 1,038  A*11-B*52-C*07-DRB1*11  Myanmar Kachin 0.794063
 1,039  A*11-B*52-C*12-DRB1*12  Myanmar Kachin 0.794063
 1,040  A*11-B*52-C*14-DRB1*14  Myanmar Kachin 0.794063
 1,041  A*11-B*56-C*07-DRB1*12  Myanmar Kachin 0.794063
 1,042  A*11:04-G*01:01  Ecuador Amerindians 0.793763
 1,043  A*11-B*53-DRB1*04-DQB1*03:02  Mexico Tamaulipas Rural 0.7937125
 1,044  A*11-B*35-DRB1*13-DQB1*06  Guatemala, Guatemala City Mixed Ancestry 0.7900127
 1,045  A*11-B*52-DRB1*15-DQB1*06  Guatemala, Guatemala City Mixed Ancestry 0.7900127
 1,046  A*11:01:01:01-B*27:05:02-C*01:02:01-DRB1*01:01:01-DQB1*05:01  Russia Bashkortostan, Tatars 0.7812192
 1,047  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
 1,048  A*11-B*18-DRB1*07-DQB1*02  Mexico Nayarit Rural 0.781264
 1,049  A*11-B*40:02-DRB1*16-DQB1*03:01  Mexico Nayarit Rural 0.781264
 1,050  A*11-B*44-DRB1*07-DQB1*02  Mexico Nayarit Rural 0.781264
 1,051  A*11-B*49-DRB1*03:01-DQB1*02  Mexico Nayarit Rural 0.781264
 1,052  A*11-B*49-DRB1*15-DQB1*06  Mexico Nayarit Rural 0.781264
 1,053  A*11-B*51-C*02-DRB1*11  Macedonia MBMDR - Albanian 0.7812128
 1,054  A*11-B*52-DRB1*15-DQB1*06  Mexico Nayarit Rural 0.781264
 1,055  A*11-B*07-C*07-DRB1*12  Myanmar Mon 0.781064
 1,056  A*11-B*07-C*07-DRB1*15  Myanmar Mon 0.781064
 1,057  A*11-B*15-C*12-DRB1*14  Myanmar Mon 0.781064
 1,058  A*11-B*35-C*04-DRB1*01  Myanmar Mon 0.781064
 1,059  A*11-B*39-C*07-DRB1*07  Myanmar Mon 0.781064
 1,060  A*11-B*39-C*12-DRB1*07  Myanmar Mon 0.781064
 1,061  A*11-B*40-C*07-DRB1*15  Myanmar Mon 0.781064
 1,062  A*11-B*44-C*07-DRB1*07  Myanmar Mon 0.781064
 1,063  A*11-B*51-C*07-DRB1*11  Myanmar Mon 0.781064
 1,064  A*11-B*52-C*15-DRB1*04  Myanmar Mon 0.781064
 1,065  A*11-B*56-C*01-DRB1*15  Myanmar Mon 0.781064
 1,066  A*11-B*57-C*06-DRB1*07  Myanmar Mon 0.781064
 1,067  A*11:01-B*07:02-C*08:01-DRB1*07:01-DQB1*02:01  Iran Gorgan 0.780064
 1,068  A*11:01-B*13:01-C*01:02-DRB1*15:01-DQB1*06:02  Iran Gorgan 0.780064
 1,069  A*11:01-B*13:01-C*06:02-DRB1*08:20-DQB1*02:01  Iran Gorgan 0.780064
 1,070  A*11:01-B*35:27-C*07:01-DRB1*03:01-DQB1*02:01  Iran Gorgan 0.780064
 1,071  A*11:01-B*40:01-C*07:01-DRB1*15:01-DQB1*03:01  Iran Gorgan 0.780064
 1,072  A*11:01-B*51:01-C*12:03-DRB1*10:01-DQB1*06:03  Iran Gorgan 0.780064
 1,073  A*11:01-B*53:01-C*03:02-DRB1*07:01-DQB1*03:01  Iran Gorgan 0.780064
 1,074  A*11-B*35-C*04:01-DRB1*14-DQB1*05  Russia North Ossetian 0.7800127
 1,075  A*11-B*40-C*03  Brazil Parana Japanese 0.7800192
 1,076  A*11:01-B*35:01-C*04:01-DRB1*01:01  Poland DKMS 0.777720,653
 1,077  A*11:01-B*15:02-C*08:01-DRB1*12:02-DQB1*03:01  Malaysia Peninsular Chinese 0.7732194
 1,078  A*11:01-B*35:01-C*03:03-DRB1*15:01-DQB1*06:02  Malaysia Peninsular Chinese 0.7732194
 1,079  A*11:01-B*40:01-C*01:02-DRB1*12:01-DQB1*03:01  Malaysia Peninsular Chinese 0.7732194
 1,080  A*11:01-B*55:02-C*12:03-DRB1*08:03-DQB1*06:01  Malaysia Peninsular Chinese 0.7732194
 1,081  A*11:01-B*08:01-DRB1*03:02-DQB1*02:01  Chile Mapuche 0.770066
 1,082  A*11:01-B*08:01-DRB1*13:02-DQB1*06:09  Chile Mapuche 0.770066
 1,083  A*11-B*52-DRB1*15-DQB1*06  Mexico Yucatan, Merida 0.7692192
 1,084  A*11:01-B*40:01-DRB1*08:03  Taiwan Tzu Chi Morrow Donor Registry 0.767046,682
 1,085  A*11:01-B*46:01-C*01:02-DRB1*09:01  Germany DKMS - China minority 0.76601,282
 1,086  A*11:01-B*52:01-DRB1*15:02  Israel Iraq Jews 0.763013,270
 1,087  A*11:01-B*40:10-C*04:03-DRB1*04:03-DQB1*03:02  USA NMDP Hawaiian or other Pacific Islander 0.762811,499
 1,088  A*11:01-B*40:01-DRB1*11:01  Taiwan Tzu Chi Morrow Donor Registry 0.756046,682
 1,089  A*11:01-B*52:01-DRB1*11:04  Israel Iraq Jews 0.753013,270
 1,090  A*11:01-B*54:01  USA Asian pop 2 0.75301,772
 1,091  A*11:01-B*40:01-C*07:02-DRB1*09:01-DRB4*01:01-DQB1*03:03  USA NMDP Chinese 0.752699,672
 1,092  A*11:01-B*15:02-C*08:01-DRB1*12:02-DRB3*03:01-DQB1*03:01  USA NMDP Southeast Asian 0.750927,978
 1,093  A*11:01-B*46:01  USA Asian pop 2 0.75001,772
 1,094  A*11-B*35-DRB1*11  Albania pop 2 0.7500432
 1,095  A*11:01-B*35:01-C*04:01-DRB1*01:01-DQA1*01:01-DQB1*05:01  Mexico Tixcacaltuyub Maya 0.746367
 1,096  A*11:01-B*40:01-C*03:04-DRB1*04:04-DQA1*03:01-DQB1*03:02  Mexico Tixcacaltuyub Maya 0.746367
 1,097  A*11:01:01-B*38:02:01-DRB1*15:04  China Jingpo Minority 0.7430105
 1,098  A*11:01-B*40:01-C*07:02-DRB1*08:03-DRBX*NNNN-DQB1*06:01  USA NMDP Chinese 0.739399,672
 1,099  A*11:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  Malaysia Peninsular Indian 0.7380271
 1,100  A*11-B*18-C*07-DRB1*11  Macedonia MBMDR - Macedonian Muslims 0.737776

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 1,001 to 1,100 (from 16,243) records   Pages: 11 12 13 14 15 16 17 18 19 20 of 163  


   

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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