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 17,075) records   Pages: 11 12 13 14 15 16 17 18 19 20 of 171  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1,001  B*15:17-DRB1*13:02  Italy pop 5 0.9700975
 1,002  A*01-B*15:17-DRB1*14-DQB1*05  Mexico Durango, Durango city 0.9677153
 1,003  A*02-B*15:01-DRB1*08-DQB1*04  Mexico Durango, Durango city 0.9677153
 1,004  A*11:01-B*15:02-C*08:01-DRB1*12:02-DQB1*03:01  Malaysia Peninsular Malay 0.9667951
 1,005  A*02:03:01-B*15:25  China Jingpo Minority 0.9650105
 1,006  A*01-B*15:17-DRB1*13-DQB1*06  Mexico Mexico City South 0.961552
 1,007  A*02-B*15:01-DRB1*04-DQB1*03:02  Mexico Mexico City South 0.961552
 1,008  A*02-B*15:15-DRB1*04-DQB1*03:02  Mexico Mexico City South 0.961552
 1,009  A*24:02-B*15:01-C*01:02-DRB1*08:02-DQB1*04:02  Colombia North Wiwa El Encanto 0.961552
 1,010  A*24:02-B*15:01-C*03:03-DRB1*14:01  Russia Bering Island Aleuts 0.9615104
 1,011  A*68:01-B*15:01-C*01:02-DRB1*04:07-DQB1*03:02  Colombia North Wiwa El Encanto 0.961552
 1,012  A*68:19-B*15:01-C*03:28-DRB1*04:03-DQB1*03:02  Colombia North Wiwa El Encanto 0.961552
 1,013  A*11:01-B*15:01-C*04:01-DRB1*04:06  Germany DKMS - China minority 0.96101,282
 1,014  A*01:01-B*15:17-C*07:01-DRB1*11:01-DQA1*01:02-DQB1*03:01  United Arab Emirates Abu Dhabi 0.960052
 1,015  A*11:01-B*15:02-C*08:01-DRB1*07:01-DQA1*06:01-DQB1*03:01  United Arab Emirates Abu Dhabi 0.960052
 1,016  A*11:01-B*15:13-C*05:01-DRB1*11:04-DQA1*06:01-DQB1*03:01  United Arab Emirates Abu Dhabi 0.960052
 1,017  A*23:01-B*15:16-C*15:02-DRB1*07:01-DQA1*02:01-DQB1*03:01  United Arab Emirates Abu Dhabi 0.960052
 1,018  A*29:02-B*15:03-C*04:01-DRB1*11:01-DQA1*05:05-DQB1*05:01  United Arab Emirates Abu Dhabi 0.960052
 1,019  A*31:01-B*15:17-C*17:03-DRB1*03:01-DQA1*05:05-DQB1*02:01  United Arab Emirates Abu Dhabi 0.960052
 1,020  A*32:01-B*15:220-C*12:03-DRB1*11:01-DQA1*05:05-DQB1*03:01  United Arab Emirates Abu Dhabi 0.960052
 1,021  A*33:03-B*15:17-C*07:01-DRB1*13:02-DQA1*01:03-DQB1*06:01  United Arab Emirates Abu Dhabi 0.960052
 1,022  A*34:01-B*15:01-C*03:02-DRB1*08:03-DQA1*01:02-DQB1*05:02  United Arab Emirates Abu Dhabi 0.960052
 1,023  A*74:01-B*15:03-C*02:10-DRB1*11:01-DQA1*05:01-DQB1*03:19  United Arab Emirates Abu Dhabi 0.960052
 1,024  A*02:01-B*15:03-C*02:10-DRB1*11:01-DQB1*03:19-DPB1*01:01  Tanzania Maasai 0.9585336
 1,025  A*02-B*15:01-DRB1*04-DQB1*03:02  Mexico Zacatecas, Fresnillo 0.9524103
 1,026  A*02-B*15:01-DRB1*08-DQB1*04  Mexico Zacatecas, Fresnillo 0.9524103
 1,027  A*02-B*15:01-DRB1*14-DQB1*03:01  Mexico Zacatecas, Fresnillo 0.9524103
 1,028  A*26-B*15:09-DRB1*04-DQB1*03:01  Mexico Zacatecas, Fresnillo 0.9524103
 1,029  A*01:01-B*15:17-DRB1*13:02  Israel Georgia Jews 0.94904,471
 1,030  A*02:01-B*15:01  USA Hispanic pop 2 0.94901,999
 1,031  A*34:01-B*15:35-C*07:02-DRB1*04:05-DRB4*01:01-DQB1*04:02  USA NMDP Filipino 0.944350,614
 1,032  A*02-B*15:01-DRB1*07-DQB1*02  Mexico Chiapas, Tuxtla Gutierrez 0.943452
 1,033  A*02-B*15:01-DRB1*08-DQB1*04  Mexico Chiapas, Tuxtla Gutierrez 0.943452
 1,034  A*24-B*15:05-DRB1*08-DQB1*04  Mexico Chiapas, Tuxtla Gutierrez 0.943452
 1,035  A*31-B*15:01-DRB1*04-DQB1*03:02  Mexico Chiapas, Tuxtla Gutierrez 0.943452
 1,036  A*31-B*15:02-DRB1*04-DQB1*06  Mexico Chiapas, Tuxtla Gutierrez 0.943452
 1,037  A*33-B*15:16-DRB1*13-DQB1*03:01  Mexico Chiapas, Tuxtla Gutierrez 0.943452
 1,038  A*68-B*15:01-DRB1*11-DQB1*03:01  Mexico Chiapas, Tuxtla Gutierrez 0.943452
 1,039  A*68-B*15:05-DRB1*04-DQB1*03:02  Mexico Chiapas, Tuxtla Gutierrez 0.943452
 1,040  A*02:17-B*15:29-DRB1*15:01  Israel Iran Jews 0.94008,153
 1,041  A*02-B*15-DRB1*16:04-DQB1*03:01  Mexico San Vicente Tancuayalab Teenek/Huastecos 0.940053
 1,042  A*11:01-B*15:01  USA Asian pop 2 0.94001,772
 1,043  A*11-B*15-DRB1*04  India sub-Himalayan West Bengal Kami 0.9400158
 1,044  A*24-B*15-DRB1*04:03-DQB1*03:02  Mexico San Vicente Tancuayalab Teenek/Huastecos 0.940053
 1,045  A*68-B*15-DRB1*08:02-DQB1*04:02  Mexico San Vicente Tancuayalab Teenek/Huastecos 0.940053
 1,046  A*68-B*15-DRB1*14:06-DQB1*04:02  Mexico San Vicente Tancuayalab Teenek/Huastecos 0.940053
 1,047  A*24-B*15-DRB1*08:02-DQB1*04:02  Bolivia Quechua 0.930069
 1,048  A*31:01:02-B*15:01-DRB1*09:01-DQB1*03:03  Peru Titikaka Lake Uros 0.9300105
 1,049  A*02-B*15:15-DRB1*08-DQB1*04  Mexico Zacatecas Rural 0.9294266
 1,050  A*01-B*15-C*07-DRB1*12  Myanmar Shan 0.926054
 1,051  A*02-B*15-C*07-DRB1*12  Myanmar Shan 0.926054
 1,052  A*24-B*15-C*04-DRB1*15  Myanmar Shan 0.926054
 1,053  A*24-B*15-C*12-DRB1*12  Myanmar Shan 0.926054
 1,054  A*33-B*15-C*04-DRB1*09  Myanmar Shan 0.926054
 1,055  A*33-B*15-C*08-DRB1*04  Myanmar Shan 0.926054
 1,056  A*33-B*15-C*12-DRB1*12  Myanmar Shan 0.926054
 1,057  A*34-B*15-C*04-DRB1*08  Myanmar Shan 0.926054
 1,058  A*24-B*15:17-DRB1*13-DQB1*06  Mexico Chihuahua, Ciudad Juarez 0.9259106
 1,059  A*02-B*15:09-DRB1*10-DQB1*05  Mexico Guanajuato Rural 0.9202162
 1,060  A*02-B*15:16-DRB1*03:02-DQB1*04  Mexico Guanajuato Rural 0.9202162
 1,061  A*24:02-B*15:02-C*08:01-DRB1*12:02-DQB1*03:01  India Northeast UCBB 0.9200296
 1,062  A*03-B*15:01-DRB1*04-DQB1*03:02  Mexico Coahuila Rural 0.9174216
 1,063  A*24-B*15:01-DRB1*04-DQB1*03:02  Mexico Durango Rural 0.9174326
 1,064  A*11:01-B*15:02-C*08:01-DRB1*12:01-DQB1*03:01  Malaysia Peninsular Malay 0.9149951
 1,065  A*68:01:02-B*15:04-DRB1*08:02-DQB1*04:02  Peru Titikaka Lake Uros 0.9100105
 1,066  A*02-B*15-C*07-DRB1*12  Myanmar Chin 0.909055
 1,067  A*11-B*15-C*04-DRB1*14  Myanmar Chin 0.909055
 1,068  A*11-B*15-C*08-DRB1*15  Myanmar Kayah 0.909055
 1,069  A*24-B*15-C*03-DRB1*12  Myanmar Chin 0.909055
 1,070  A*24-B*15-C*04-DRB1*12  Myanmar Chin 0.909055
 1,071  A*24-B*15-C*04-DRB1*15  Myanmar Chin 0.909055
 1,072  A*24-B*15-C*08-DRB1*04  Myanmar Kayah 0.909055
 1,073  A*24-B*15-C*08-DRB1*14  Myanmar Kayah 0.909055
 1,074  A*24-B*15-C*08-DRB1*14  Myanmar Chin 0.909055
 1,075  A*33-B*15-C*04-DRB1*15  Myanmar Kayah 0.909055
 1,076  A*33-B*15-C*12-DRB1*15  Myanmar Kayah 0.909055
 1,077  A*01-B*15-C*07-DRB1*13  Iran pop 4 0.9000855
 1,078  A*02-B*15-C*07-DRB1*13  Iran pop 4 0.9000855
 1,079  A*24-B*15-C*12-DRB1*03  Iran pop 4 0.9000855
 1,080  A*68-B*15-C*15-DRB1*13  Iran pop 4 0.9000855
 1,081  A*01:03-B*15:03-DRB1*07:01  Israel Ethiopia Jews 0.89805,928
 1,082  A*02-B*15:01-DRB1*04-DQB1*03:02  Mexico Veracruz, Coatzacoalcos 0.892955
 1,083  A*02-B*15:15-DRB1*08-DQB1*04  Mexico Veracruz, Cordoba 0.892956
 1,084  A*11-B*15:05-DRB1*14-DQB1*05  Mexico Veracruz, Coatzacoalcos 0.892955
 1,085  A*23-B*15:03-DRB1*10-DQB1*05  Mexico Veracruz, Cordoba 0.892956
 1,086  A*24:02-B*15:17-DRB1*03:01-DQB1*03:03  Iran Yazd 0.892956
 1,087  A*26:01-B*15:24-DRB1*13:02-DQB1*06:04  Iran Yazd 0.892956
 1,088  A*31-B*15:05-DRB1*04-DQB1*03:02  Mexico Veracruz, Cordoba 0.892956
 1,089  A*33-B*15:31-DRB1*11-DQB1*03:01  Mexico Veracruz, Cordoba 0.892956
 1,090  A*33-B*15:36-DRB1*14-DQB1*05  Mexico Veracruz, Cordoba 0.892956
 1,091  A*68-B*15:03-DRB1*07-DQB1*02  Mexico Veracruz, Coatzacoalcos 0.892955
 1,092  A*69:01-B*15:01-DRB1*14:01-DQB1*03:01  Iran Yazd 0.892956
 1,093  A*74-B*15:03-DRB1*13-DQB1*06  Mexico Veracruz, Cordoba 0.892956
 1,094  A*02-B*15-DRB1*04:11-DQB1*04:02  Colombia Wayu from Guajira Peninsula 0.890048
 1,095  A*02-B*15-DRB1*14  India sub-Himalayan West Bengal Kami 0.8900158
 1,096  A*11:01:01-B*15:02:01-C*08:01:01-DRB1*12:02:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.89005,266
 1,097  A*02:01-B*15:01-C*03:04-DRB1*04:01-DQB1*03:02-DPB1*04:01  Germany DKMS - German donors 0.88043,456,066
 1,098  A*02:01-B*15:39-C*03:03-E*01:03:01-F*01:01:01-G*01:01-DRB1*04:01-DQA1*03:01-DQB1*03:02  Portugal Azores Terceira Island 0.8772130
 1,099  A*24:02-B*15:01-C*03:03-E*01:01:01-F*01:01:01-G*01:01-DRB1*08:01-DQA1*01:02-DQB1*04:02  Portugal Azores Terceira Island 0.8772130
 1,100  A*02-B*15  Macedonia 0.8741286

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 17,075) records   Pages: 11 12 13 14 15 16 17 18 19 20 of 171  


   

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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