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 20,346) records   Pages: 11 12 13 14 15 16 17 18 19 20 of 204  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1,001  A*33:03:01-B*58:01:01-C*03:02:01-DRB1*15:01:01-DQB1*06:01:01  India Karnataka Kannada Speaking 1.1490174
 1,002  A*03-B*07-DRB1*15-DQB1*06  Mexico Coahuila Rural 1.1468216
 1,003  A*25-B*18-DRB1*15-DQB1*06  Mexico Coahuila Rural 1.1468216
 1,004  A*01-B*52-DRB1*15-DQB1*06  Mexico Michoacan Rural 1.1461348
 1,005  A*02-B*07-C*07-DRB1*15-DQA1*01-DQB1*06  Spain, Castilla y Leon, Northwest, 1.14031,743
 1,006  A*02:11-B*40:06-C*15:02-DRB1*15:01-DQB1*06:01  India East UCBB 1.13902,403
 1,007  A*03:01-B*07:02-DRB1*15:01-DQB1*06:02  Mexico Chihuahua Chihuahua City Pop 2 1.136488
 1,008  A*03-B*07-DRB1*15-DQB1*06  Mexico Nuevo Leon Rural 1.1364439
 1,009  A*02-B*15-C*04-DRB1*15-DQB1*03-DPB1*02  Myanmar Kayin 1.136044
 1,010  A*02-B*40-C*03-DRB1*15-DQB1*05-DPB1*09  Myanmar Kayin 1.136044
 1,011  A*11-B*15-C*12-DRB1*15  Myanmar Kayin 1.136044
 1,012  A*11-B*15-C*12-DRB1*15-DQB1*05-DPB1*21  Myanmar Kayin 1.136044
 1,013  A*11-B*35-C*04-DRB1*15  Myanmar Kayin 1.136044
 1,014  A*11-B*35-C*04-DRB1*15-DQB1*05-DPB1*02  Myanmar Kayin 1.136044
 1,015  A*11-B*40-C*03-DRB1*15-DQB1*05-DPB1*05  Myanmar Kayin 1.136044
 1,016  A*11-B*56-C*07-DRB1*15-DQB1*02-DPB1*21  Myanmar Kayin 1.136044
 1,017  A*24-B*15-C*04-DRB1*15-DQB1*05-DPB1*21  Myanmar Kayin 1.136044
 1,018  A*24-B*15-C*12-DRB1*15  Myanmar Kayin 1.136044
 1,019  A*24-B*40-C*03-DRB1*15  Myanmar Kayin 1.136044
 1,020  A*24-B*40-C*03-DRB1*15-DQB1*05-DPB1*09  Myanmar Kayin 1.136044
 1,021  A*24-B*40-C*04-DRB1*15-DQB1*05-DPB1*03  Myanmar Kayin 1.136044
 1,022  A*24-B*40-C*04-DRB1*15-DQB1*05-DPB1*09  Myanmar Kayin 1.136044
 1,023  A*33-B*56-C*07-DRB1*15  Myanmar Kayin 1.136044
 1,024  A*11:01-B*13:01-C*03:04-DRB1*15:01-DRB5*01:01-DQB1*06:01  USA NMDP Chinese 1.134699,672
 1,025  A*11:01-B*13:01-DRB1*15:01  Hong Kong Chinese cord blood registry 1.13263,892
 1,026  A*03:01:01-B*07:02:01-C*07:02:01-DRB1*15:01-DQB1*06:02  Costa Rica Central Valley Mestizo (G) 1.1312221
 1,027  A*02:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*04:01  Germany DKMS - German donors 1.12793,456,066
 1,028  A*11-B*52-DRB1*15-DQB1*06  Mexico Yucatan Rural 1.1194132
 1,029  A*11:01-B*13:01-C*03:04-DRB1*15:01  Hong Kong Chinese BMDR 1.11867,595
 1,030  A*02:11-B*40:06-C*15:02-DRB1*15:01-DQB1*06:01  India North UCBB 1.11425,849
 1,031  A*01-B*07-DRB1*15-DQB1*06  Mexico Veracruz, Poza Rica 1.111145
 1,032  A*02-B*07-DRB1*15-DQB1*06  Mexico Veracruz, Poza Rica 1.111145
 1,033  A*02-B*38-DRB1*15-DQB1*05  Mexico Queretaro, Queretaro city 1.111145
 1,034  A*24-B*14:01-DRB1*15-DQB1*06  Mexico Veracruz, Poza Rica 1.111145
 1,035  A*24-B*50-DRB1*15-DQB1*06  Mexico Queretaro, Queretaro city 1.111145
 1,036  A*25-B*18-DRB1*15-DQB1*06  Mexico Queretaro, Queretaro city 1.111145
 1,037  A*30-B*13-DRB1*15-DQB1*06  Mexico Queretaro, Queretaro city 1.111145
 1,038  A*25-B*18-DRB1*15  Russia South Ural Tatar 1.1110135
 1,039  A*02:01:01-B*40:01-C*03:04-DRB1*15:01  South Africa Caucasians 1.1100102
 1,040  A*02-B*18-DRB1*15  India sub-Himalayan West Bengal Kami 1.1100158
 1,041  A*03-B*07-DRB1*15-DQB1*06  Mexico Jalisco Rural 1.1092585
 1,042  A*03-B*07-DRB1*15-DQB1*06  Mexico Tlaxcala, Tlaxcala city 1.1050181
 1,043  A*01:01-B*40:01-DRB1*15:01  New Zealand Maori with Full Ancestry 1.100046
 1,044  A*02:01:01-B*18:01:01-DRB1*15:01:01  Portugal North 1.100046
 1,045  A*02:01:01-B*40:01:01-DRB1*15:01:01  Portugal North 1.100046
 1,046  A*02:01:01-B*42:01-C*17:01-DRB1*15:01  Iran Baloch 1.1000100
 1,047  A*02:01:01-B*44:03:01-DRB1*15:01:01  Portugal North 1.100046
 1,048  A*02:01-B*44:02-DRB1*15:01  Ireland Northern 1.10001,000
 1,049  A*02-B*07-DRB1*15  Azores 1.10001,050
 1,050  A*02-B*15-DRB1*15  China Shaanxi Province Han 1.100010,000
 1,051  A*03:01:01-B*35:03-DRB1*15:01:01  Portugal North 1.100046
 1,052  A*03-B*07-C*07-DRB1*15/16-DQB1*06  Spain Majorca 1.1000407
 1,053  A*03-B*07-DRB1*15  Brazil Rio Grande do Sul Mixed 1.1000324
 1,054  A*03-B*07-DRB1*15  Portugal Viseu 1.10002,915
 1,055  A*03-B*07-DRB1*15  Portugal Coimbra 1.10005,057
 1,056  A*03-B*07-DRB1*15  Portugal Leiria 1.10001,847
 1,057  A*03-B*07-DRB1*15  Portugal Lisbon 1.100017,420
 1,058  A*11:01:01-B*49:01-DRB1*15:01:01  Portugal North 1.100046
 1,059  A*11-B*40-DRB1*15  Philippines National Capital Region 1.100051
 1,060  A*11-B*52-DRB1*15  Jordan 1.100015,141
 1,061  A*24:02-B*40:01-DRB1*15:01  Taiwan Tzu Chi Cord Blood Bank 1.1000710
 1,062  A*29:02-B*44:03:01-DRB1*15:01:01  Portugal North 1.100046
 1,063  A*31:01:02-B*07:02:01-DRB1*15:01:01  Portugal North 1.100046
 1,064  A*31:01:02-B*39:01:01-DRB1*15:01:01  Portugal North 1.100046
 1,065  A*32:01-B*35:01:01-DRB1*15:01:01  Portugal North 1.100046
 1,066  A*33:01-B*51:01:01-DRB1*15:01:01  Portugal North 1.100046
 1,067  B*15:01-C*03:03-DRB1*15:01  South Korea pop 3 1.1000485
 1,068  DRB1*15:01:01-DPB1*05:01  Taiwan Puyuma pop 2 1.100050
 1,069  DRB1*15:01:01-DPB1*05:01  Taiwan Ami pop 2 1.100050
 1,070  DRB1*15:01:01-DPB1*14:01  Taiwan Ami pop 2 1.100050
 1,071  DRB1*15:01:01-DPB1*14:01  Taiwan Han 1.100050
 1,072  DRB1*15:01-DQA1*01:02-DQB1*05:01  Italy Sardinia Carbonia 1.100091
 1,073  DRB1*15:01-DQA1*01:02-DQB1*06:01-DPB1*02:02  China Canton Han 1.1000264
 1,074  DRB1*15:01-DQA1*01:02-DQB1*06:02  Italy Sardinia Carbonia 1.100091
 1,075  DRB1*15:01-DQA1*01:02-DQB1*06:02  Italy Sardinia Sassari 1.100091
 1,076  DRB1*15:01-DQA1*01:02-DQB1*06:02-DPB1*02:01  South Korea pop 11 1.1000149
 1,077  DRB1*15:01-DRB5*01:01-DQA1*01:02-DQB1*06:02-DPB1*23:01  USA San Francisco Caucasian 1.1000220
 1,078  DRB1*15:01-DRB5*01:01-DQA1*01:02-DQB1*06:02-DPB1*23:01  USA San Francisco Caucasian 1.1000220
 1,079  DRB1*15:02-DQA1*01:01-DQB1*05:02-DPB1*05:01  China Canton Han 1.1000264
 1,080  DRB1*15:02-DQA1*01:03-DQB1*06:01  Russia Tuva pop3 1.100044
 1,081  DRB1*15-DQA1*01:02-DQB1*05:02/05:04  Ukraine Khmelnytskyi 1.1000138
 1,082  DRB1*15-DRB5*01-DQA1*01-DQB1*06-DPB1*03  USA San Francisco Caucasian 1.1000220
 1,083  DRB1*15-DRB5*01-DQA1*01-DQB1*06-DPB1*23  USA San Francisco Caucasian 1.1000220
 1,084  A*11:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India East UCBB 1.09952,403
 1,085  A*02-B*52-DRB1*15-DQB1*06  Mexico Sinaloa Rural 1.0929183
 1,086  A*24-B*35-DRB1*15  India sub-Himalayan West Bengal Kami 1.0900158
 1,087  DRB1*15:01-DQA1*01:02-DQB1*06:01-DPA1*02:02-DPB1*05:01  China Zhejiang Han pop 2 1.0845833
 1,088  A*02:01:01-B*07:02:01-C*07:02:01-DRB1*15:01  Nicaragua Mestizo (G) 1.0753155
 1,089  A*11:01-B*15:02-C*08:01-DRB1*15:01  Hong Kong Chinese BMDR 1.07487,595
 1,090  A*11:01-B*52:01-DRB1*15:02  Israel USSR Jews 1.070045,681
 1,091  DRB1*15:02-DQB1*06:01  Mexico Mexico City Mestizo pop 2 1.0700234
 1,092  A*02-B*35-DRB1*15-DQB1*06  Mexico Veracruz, Xalapa 1.0695187
 1,093  A*03-B*07-DRB1*15-DQB1*06  Mexico Veracruz, Xalapa 1.0695187
 1,094  A*02:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*04:01  Russia Karelia 1.06561,075
 1,095  A*02:58-B*08:01-C*01:02-DRB1*15:01-DQB1*03:01  Colombia North Chimila Amerindians 1.063847
 1,096  A*02-B*58-DRB1*15-DQB1*06  Mexico Campeche Rural 1.063847
 1,097  A*03-B*07-DRB1*15-DQB1*06  Mexico Campeche Rural 1.063847
 1,098  A*23:01-B*51:10-C*15:02-DRB1*15:01-DQB1*03:02  Colombia North Chimila Amerindians 1.063847
 1,099  A*26:01-B*51:10-C*07:01-DRB1*15:01-DQB1*06:02  Colombia North Chimila Amerindians 1.063847
 1,100  A*30:01-B*15:47-C*02:10-DRB1*15:03-DQB1*06:02  Colombia North Chimila Amerindians 1.063847

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 20,346) records   Pages: 11 12 13 14 15 16 17 18 19 20 of 204  


   

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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