Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

Please specify your search by selecting options from boxes. Then, click "Search" to find HLA Haplotype frequencies that match your criteria. Remember at least one option must be selected.
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 4,646) records   Pages: 11 12 13 14 15 16 17 18 19 20 of 47  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1,001  A*02-B*35-DRB1*09-DQB1*03:03  Mexico Durango Rural 0.1529326
 1,002  A*02-B*48-DRB1*09-DQB1*03:03  Mexico Durango Rural 0.1529326
 1,003  A*74-B*14:01-DRB1*09-DQB1*02  Mexico Durango Rural 0.1529326
 1,004  A*80-B*45-DRB1*09-DQB1*02  Mexico Durango Rural 0.1529326
 1,005  A*23:01-B*40:02-DRB1*09:01-DQB1*02:01  Mexico Mexico City Tlalpan 0.1515330
 1,006  A*29:01-B*44:02-DRB1*09:01-DQB1*03:03  Mexico Mexico City Tlalpan 0.1515330
 1,007  A*31:01-B*14:02-DRB1*09:01-DQB1*02:01  Mexico Mexico City Tlalpan 0.1515330
 1,008  A*66:01-B*15:03-DRB1*09:01-DQB1*02:01  Mexico Mexico City Tlalpan 0.1515330
 1,009  A*80:01-B*40:01-DRB1*09:01-DQB1*03:02  Mexico Mexico City Tlalpan 0.1515330
 1,010  A*02:01-B*51:01-C*14:02-DRB1*09:01  Japan pop 16 0.151018,604
 1,011  DRB1*09:01:02-DQB1*03:03-DPB1*04:01:01  China Inner Mongolia Autonomous Region Northeast 0.1510496
 1,012  A*02:03-B*38:02-DRB1*09:01  Hong Kong Chinese cord blood registry 0.15023,892
 1,013  A*24:02:01-B*54:01:01-C*01:02:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.14761,734
 1,014  A*02:03-B*40:01-DRB1*09:01  Hong Kong Chinese cord blood registry 0.14753,892
 1,015  A*30:02-B*07:02-C*07:02-DRB1*09:01-DQB1*02:01  USA NMDP Caribean Indian 0.147414,339
 1,016  A*11:01-B*40:01-C*07:02-DRB1*09:01-DRB4*01:01-DQB1*03:03  USA NMDP Southeast Asian 0.147327,978
 1,017  A*02:01-B*15:01-C*03:03-DRB1*09:01  Japan pop 16 0.146018,604
 1,018  DRB1*09:01-DQB1*02:01-DPB1*04:02  Gambia pop 3 0.1451939
 1,019  DRB1*09:01-DQB1*02:02-DPB1*107:01  Gambia pop 3 0.1451939
 1,020  DRB1*09:01-DQB1*02:02-DPB1*30:01  Gambia pop 3 0.1451939
 1,021  DRB1*09:01-DQB1*05:01-DPB1*133:01  Gambia pop 3 0.1451939
 1,022  A*24:02:01-B*55:02:01-C*01:02:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.14411,734
 1,023  A*11:01:01-B*15:02:01-C*08:01:01-DRB1*09:01:02-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.14405,266
 1,024  A*01-B*57-DRB1*09-DQB1*03:03  Mexico Michoacan Rural 0.1433348
 1,025  A*29-B*45-DRB1*09-DQB1*02  Mexico Michoacan Rural 0.1433348
 1,026  DRB1*09:01-DQB1*02:02-DPB1*85:01  Gambia pop 3 0.1433939
 1,027  A*11:02-B*40:01-C*07:02-DRB1*09:01  Germany DKMS - China minority 0.14301,282
 1,028  A*24:02-B*40:02-C*03:04-DRB1*09:01-DQB1*03:03  USA Asian pop 2 0.14301,772
 1,029  DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:01-DPB1*17:01  China Zhejiang Han pop 2 0.1425833
 1,030  A*02:01-B*15:01-C*01:02-DRB1*09:01  Germany DKMS - France minority 0.14201,406
 1,031  A*24:02-B*40:06-C*08:01-DRB1*09:01-DRB4*01:01-DQB1*03:03  USA NMDP Vietnamese 0.141743,540
 1,032  A*11:01-B*40:06-C*08:01-DRB1*09:01-DQB1*03:03  USA Asian pop 2 0.14101,772
 1,033  A*24:02-B*40:06-C*15:02-DRB1*09:01  Japan pop 16 0.141018,604
 1,034  A*24:02-B*54:01-C*01:02-DRB1*09:01  Japan pop 16 0.141018,604
 1,035  A*23:01-B*53:01-C*06:02-DRB1*09:01-DQB1*02:01  USA NMDP Black South or Central American 0.14014,889
 1,036  A*23-B*15-DRB1*09  Iran pop 4 0.1401855
 1,037  A*68:01-B*27:05-C*02:02-DRB1*09:01-DQA1*03:01-DQB1*03:03-DPB1*26:01  Sri Lanka Colombo 0.1401714
 1,038  A*02:01:01-B*35:03:01-C*04:01:01-DRB1*09:01:02-DQB1*03:02:01  India Kerala Malayalam speaking 0.1400356
 1,039  A*02:05-B*51:01-C*14:02-DRB1*09:01-DQB1*03:03  Italy pop 5 0.1400975
 1,040  A*24:02:01-B*52:01:01-C*12:02:02-DRB1*09:01:02-DQB1*06:03:01  India Kerala Malayalam speaking 0.1400356
 1,041  A*24:02-B*51:01-C*12:03-DRB1*09:01-DQB1*05:02  Italy pop 5 0.1400975
 1,042  A*26:01:01-B*55:01:01-C*01:02:01-DRB1*09:01:02-DQB1*03:03:02  India Kerala Malayalam speaking 0.1400356
 1,043  A*68:01:02-B*15:11:01-C*03:03:01-DRB1*09:01:02-DQB1*03:03:02  India Kerala Malayalam speaking 0.1400356
 1,044  A*24:02-B*48:01-C*08:01-DRB1*09:01  Hong Kong Chinese BMDR 0.13997,595
 1,045  A*24:02-B*48:01-DRB1*09:01  Hong Kong Chinese cord blood registry 0.13983,892
 1,046  DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*01:03-DPB1*05:01  China Zhejiang Han pop 2 0.1391833
 1,047  A*02-B*35-DRB1*09:01  Chile Santiago 0.1388920
 1,048  A*26:01:01-B*46:01:01-C*01:02:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.13861,734
 1,049  A*24:02-B*40:01-C*03:04-DRB1*09:01-DQB1*03:03  USA Asian pop 2 0.13801,772
 1,050  A*24:02-B*51:01-C*14:02-DRB1*09:01-DRB4*01:01-DQB1*03:03  USA NMDP Vietnamese 0.137343,540
 1,051  A*24:02-B*40:02-C*03:03-DRB1*09:01  Japan pop 16 0.136018,604
 1,052  A*26:01-B*40:06-C*03:04-DRB1*09:01  Japan pop 16 0.136018,604
 1,053  A*02-B*51-DRB1*09  Brazil Para State 0.13585,000
 1,054  A*02:06:01-B*46:01:01-C*01:02:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.13431,734
 1,055  A*11:01:01-B*39:01:01-C*07:02:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.13421,734
 1,056  A*11:01-B*48:01-C*08:01-DRB1*09:01-DQB1*03:03  USA Asian pop 2 0.13301,772
 1,057  A*24:02-B*35:01-C*03:03-DRB1*09:01-DQB1*03:03  USA Asian pop 2 0.13301,772
 1,058  A*02:01:01-B*46:01:01-C*01:02:01-DRB1*09:01:02-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.13265,266
 1,059  A*31:01-B*51:01-C*14:02-DRB1*09:01-DQB1*03:03  USA Asian pop 2 0.13201,772
 1,060  A*02:03-B*38:02-C*07:02-DRB1*09:01  Hong Kong Chinese BMDR 0.13197,595
 1,061  A*11:01:01-B*46:01:01-C*01:02:01-DRB1*09:01:02-DPB1*13:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.13115,266
 1,062  A*80:01-B*53:01-C*06:02-DRB1*09:01-DQB1*02:01  USA African American pop 4 0.13102,411
 1,063  A*02:06-B*35:01-C*03:03-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:02-DPB1*05:01  Japan pop 17 0.13003,078
 1,064  A*02:06-B*40:06-C*08:01-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*01:03-DPB1*02:01  Japan pop 17 0.13003,078
 1,065  A*02:07-B*46:01-C*01:02-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*01:03-DPB1*02:01  Japan pop 17 0.13003,078
 1,066  A*03-B*18-C*07-DRB1*09-DQB1*03-DPB1*04  Norway ethnic Norwegians 0.13004,510
 1,067  A*24:02-B*15:27-C*04:01-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:01-DPB1*14:01  Japan pop 17 0.13003,078
 1,068  A*24:02-B*40:02-C*03:04-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*01:03-DPB1*02:01  Japan pop 17 0.13003,078
 1,069  A*24:02-B*52:01-C*12:02-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*01:03-DPB1*02:01  Japan pop 17 0.13003,078
 1,070  A*31:01-B*51:01-C*14:02-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:02-DPB1*05:01  Japan pop 17 0.13003,078
 1,071  A*33:03-B*44:03-C*14:03-DRB1*09:01  Japan pop 16 0.130018,604
 1,072  B*51:01-DRB1*09:01  Italy pop 5 0.1300975
 1,073  A*02:01-B*15:01-DRB1*09:01  Hong Kong Chinese cord blood registry 0.12993,892
 1,074  A*02:01-B*13:01-C*03:04-DRB1*09:01  Germany DKMS - China minority 0.12901,282
 1,075  A*02:07:01-B*40:01:02-C*07:02:01-DRB1*09:01:02-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.12875,266
 1,076  A*24:02-B*40:01-C*03:04-DRB1*09:01  Hong Kong Chinese BMDR 0.12837,595
 1,077  A*02-B*15:01-DRB1*09-DQB1*03:03  Ecuador Mixed Ancestry 0.12791,173
 1,078  A*24-B*15:01-DRB1*09-DQB1*03:03  Ecuador Mixed Ancestry 0.12791,173
 1,079  A*23-B*07-DRB1*09-DQB1*02  Mexico Jalisco, Guadalajara city 0.12561,189
 1,080  A*24-B*35-DRB1*09-DQB1*03:03  Mexico Puebla, Puebla city 0.12531,994
 1,081  A*11:01-B*48:01-C*08:01-DRB1*09:01  Japan pop 16 0.125018,604
 1,082  A*23-B*81-DRB1*09-DQB1*03:03  Mexico Coahuila, Torreon 0.1250396
 1,083  A*25-B*51-DRB1*09-DQB1*03:03  Mexico Coahuila, Torreon 0.1250396
 1,084  A*29-B*45-DRB1*09-DQB1*02  Mexico Coahuila, Torreon 0.1250396
 1,085  A*31:01-B*40:02-C*03:04-DRB1*09:01  Japan pop 16 0.125018,604
 1,086  A*66-B*15:03-DRB1*09-DQB1*02  Mexico Coahuila, Torreon 0.1250396
 1,087  A*02:03:01-B*46:01:01-C*01:02:01-DRB1*09:01:02-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.12235,266
 1,088  A*02:01-B*15:11-DRB1*09:01  Hong Kong Chinese cord blood registry 0.12213,892
 1,089  A*23-B*07-DRB1*09  Brazil Para State 0.12205,000
 1,090  A*31-B*35-DRB1*09-DQB1*03:03  Ecuador Andes Mixed Ancestry 0.1214824
 1,091  A*31-B*39-DRB1*09-DQB1*03:03  Ecuador Andes Mixed Ancestry 0.1214824
 1,092  A*01-B*07-DRB1*09-DQB1*03:03  Mexico Tlaxcala Rural 0.1205830
 1,093  A*24-B*51-DRB1*09  Brazil Para Cord Blood Unit 0.1205841
 1,094  A*02-B*40:02-DRB1*09-DQB1*03:03  Mexico Puebla Rural 0.1199833
 1,095  A*02-B*41-DRB1*09-DQB1*02  Mexico Puebla Rural 0.1199833
 1,096  A*24:02-B*35:30-C*03:04-DRB1*09:01-DQB1*03:03  Colombia Bogotá Cord Blood 0.11931,463
 1,097  A*33-B*15-DRB1*09  Brazil Para Cord Blood Unit 0.1189841
 1,098  A*68-B*51-DRB1*09  Brazil Para Cord Blood Unit 0.1189841
 1,099  A*11:01:01-B*54:01:01-C*01:02:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.11821,734
 1,100  A*02:01-B*40:01-C*03:04-DRB1*09:01  Germany DKMS - China minority 0.11801,282

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 4,646) records   Pages: 11 12 13 14 15 16 17 18 19 20 of 47  


   

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.

support@allelefrequencies.net


Valid XHTML 1.0 Transitional