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 1,471) records   Pages: 11 12 13 14 15 of 15  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1,001  A*26:01-B*51:01-C*14:02-DRB1*08:02  Japan pop 16 0.021018,604
 1,002  A*26:03-B*51:01-C*14:02-DRB1*08:02  Japan pop 16 0.021018,604
 1,003  A*31:01-B*15:01-C*03:03-DRB1*08:02  Japan pop 16 0.021018,604
 1,004  A*01:01-B*15:08-C*01:02-DRB1*08:02-DQB1*04:02  India East UCBB 0.02082,403
 1,005  A*02:01-B*52:01-C*12:02-DRB1*08:02-DQB1*03:02  India East UCBB 0.02082,403
 1,006  A*11:01-B*51:01-C*05:01-DRB1*08:02-DQB1*03:02  India East UCBB 0.02082,403
 1,007  A*24:11N-B*52:01-C*04:01-DRB1*08:02-DQB1*04:02  India East UCBB 0.02082,403
 1,008  A*33:03-B*15:02-C*08:01-DRB1*08:02-DQB1*03:02  India East UCBB 0.02082,403
 1,009  A*33:03-B*37:01-C*06:02-DRB1*08:02-DQB1*04:02  India East UCBB 0.02082,403
 1,010  A*01:01-B*35:03-C*06:02-DRB1*08:02-DQB1*03:01  India Tamil Nadu 0.02012,492
 1,011  A*02:01-B*51:01-C*07:04-DRB1*08:02-DQB1*03:01  India Tamil Nadu 0.02012,492
 1,012  A*02:06-B*15:01-C*03:03-DRB1*08:02-DQB1*03:01  India Tamil Nadu 0.02012,492
 1,013  A*02:06-B*40:06-C*15:02-DRB1*08:02-DQB1*04:02  India Tamil Nadu 0.02012,492
 1,014  A*02:11-B*15:25-C*07:26-DRB1*08:02-DQB1*04:02  India Tamil Nadu 0.02012,492
 1,015  A*02:11-B*35:03-C*04:01-DRB1*08:02-DQB1*03:01  India Tamil Nadu 0.02012,492
 1,016  A*03:01-B*35:03-C*04:01-DRB1*08:02-DQB1*03:01  India Tamil Nadu 0.02012,492
 1,017  A*11:01-B*40:06-C*15:02-DRB1*08:02-DQB1*04:02  India Tamil Nadu 0.02012,492
 1,018  A*24:02-B*15:25-C*07:26-DRB1*08:02-DQB1*04:02  India Tamil Nadu 0.02012,492
 1,019  A*24:02-B*40:06-C*07:02-DRB1*08:02-DQB1*03:01  India Tamil Nadu 0.02012,492
 1,020  A*24:07-B*52:01-C*12:02-DRB1*08:02-DQB1*04:02  India Tamil Nadu 0.02012,492
 1,021  A*29:01-B*51:01-C*14:02-DRB1*08:02-DQB1*04:02  India Tamil Nadu 0.02012,492
 1,022  A*31:01-B*15:08-C*12:02-DRB1*08:02-DQB1*04:02  India Tamil Nadu 0.02012,492
 1,023  A*33:03-B*44:03-C*07:01-DRB1*08:02-DQB1*03:01  India Tamil Nadu 0.02012,492
 1,024  A*02:01:01-B*51:02:01-C*15:02:01-DRB1*08:02:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.01985,266
 1,025  A*02:01-B*40:01-C*15:02-DRB1*08:02  Hong Kong Chinese BMDR 0.01987,595
 1,026  A*02:01-B*35:30-C*03:04-DRB1*08:02-DQB1*04:02  Colombia Bogotá Cord Blood 0.01951,463
 1,027  A*02:01-B*51:02-C*15:02-DRB1*08:02  Hong Kong Chinese BMDR 0.01957,595
 1,028  A*02:03:01-B*15:01:01-C*01:02:01-DRB1*08:02:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.01905,266
 1,029  A*11:01:01-B*51:02:01-C*15:02:01-DRB1*08:02:01-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.01905,266
 1,030  A*24:02:01-B*35:01:01-C*14:02:01-DRB1*08:02:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.01905,266
 1,031  A*11:01-B*40:02-DRB1*08:02  Israel Poland Jews 0.018013,871
 1,032  A*01:01-B*40:06-C*07:02-DRB1*08:02-DQB1*03:01  India South UCBB 0.017911,446
 1,033  A*02:01-B*51:01-C*14:02-DRB1*08:02-DQB1*04:02  India South UCBB 0.017511,446
 1,034  A*03:02-B*51:01-C*15:02-DRB1*08:02-DQB1*03:02  India West UCBB 0.01725,829
 1,035  A*26:01-B*35:03-C*04:01-DRB1*08:02-DQB1*04:02  India West UCBB 0.01725,829
 1,036  A*11:01-B*40:06-C*07:02-DRB1*08:02-DQB1*03:01  India South UCBB 0.017111,446
 1,037  A*02:01-B*35:01-C*04:01-DRB1*08:02-DQB1*04:02  India South UCBB 0.017011,446
 1,038  A*02:01-B*40:01-C*07:02-DRB1*08:02  Hong Kong Chinese BMDR 0.01707,595
 1,039  A*11:01-B*15:02-DRB1*08:02  Hong Kong Chinese cord blood registry 0.01653,892
 1,040  A*02:01-B*35:12-C*04:01-DRB1*08:02-DRBX*NNNN-DQB1*04:02  USA NMDP North American Amerindian 0.016535,791
 1,041  A*02:01-B*15:01-C*03:03-DRB1*08:02  Japan pop 16 0.016018,604
 1,042  A*02:01-B*51:01-C*15:02-DRB1*08:02  Japan pop 16 0.016018,604
 1,043  A*02:06-B*55:02-C*01:02-DRB1*08:02  Japan pop 16 0.016018,604
 1,044  A*02:06-B*55:02-C*03:03-DRB1*08:02  Japan pop 16 0.016018,604
 1,045  A*11:01-B*35:01-C*03:03-DRB1*08:02  Japan pop 16 0.016018,604
 1,046  A*11:01-B*51:01-C*14:02-DRB1*08:02  Hong Kong Chinese BMDR 0.01607,595
 1,047  A*11:01-B*55:02-C*01:02-DRB1*08:02  Japan pop 16 0.016018,604
 1,048  A*24:02-B*15:01-C*03:03-DRB1*08:02  Japan pop 16 0.016018,604
 1,049  A*24:02-B*15:18-C*07:04-DRB1*08:02  Japan pop 16 0.016018,604
 1,050  A*24:02-B*35:01-C*04:01-DRB1*08:02  Japan pop 16 0.016018,604
 1,051  A*24:02-B*35:01-C*08:01-DRB1*08:02  Japan pop 16 0.016018,604
 1,052  A*24:02-B*40:02-C*15:02-DRB1*08:02  Japan pop 16 0.016018,604
 1,053  A*26:01-B*55:02-C*01:02-DRB1*08:02  Japan pop 16 0.016018,604
 1,054  A*24:02-B*40:06-C*15:02-DRB1*08:02-DQB1*04:02  India Central UCBB 0.01564,204
 1,055  A*02:01-B*51:01-DRB1*08:02  Israel Argentina Jews 0.01534,307
 1,056  A*02:01:01-B*51:02:01-C*15:02:01-DRB1*08:02:01-DPB1*04:02:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.01475,266
 1,057  A*03:01-B*48:01-DRB1*08:02  Israel Argentina Jews 0.01464,307
 1,058  A*11:01-B*15:25-C*07:26-DRB1*08:02-DQB1*04:02  India South UCBB 0.014011,446
 1,059  A*02:01-B*46:01-DRB1*08:02  Hong Kong Chinese cord blood registry 0.01373,892
 1,060  A*01:01-B*39:01-DRB1*08:02  Israel Argentina Jews 0.01354,307
 1,061  A*02:06-B*40:02-C*03:04-DRB1*08:02  Hong Kong Chinese BMDR 0.01327,595
 1,062  A*24:02-B*35:01-C*14:02-DRB1*08:02  Hong Kong Chinese BMDR 0.01327,595
 1,063  A*01:01-B*07:02-C*07:02-DRB1*08:02-DQB1*04:02  India South UCBB 0.013111,446
 1,064  A*02:06-B*35:01-C*04:01-DRB1*08:02-DQB1*04:02  India South UCBB 0.013111,446
 1,065  A*02:11-B*18:01-C*12:03-DRB1*08:02-DQB1*04:02  India South UCBB 0.013111,446
 1,066  A*68:01-B*15:08-C*01:02-DRB1*08:02-DQB1*04:02  India South UCBB 0.013111,446
 1,067  A*03:01-B*18:01-C*12:03-DRB1*08:02-DQB1*04:02  India South UCBB 0.013011,446
 1,068  A*31:01:02-B*51:01:01-C*14:02:01-DRB1*08:02:01-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.01305,266
 1,069  A*24:02-B*51:01-DRB1*08:02  Hong Kong Chinese cord blood registry 0.01283,892
 1,070  A*31:08-B*53:01-DRB1*08:02  Israel Argentina Jews 0.01284,307
 1,071  A*33:03-B*51:02-C*15:02-DRB1*08:02  Hong Kong Chinese BMDR 0.01287,595
 1,072  A*02:06-B*51:02-DRB1*08:02  Hong Kong Chinese cord blood registry 0.01233,892
 1,073  A*02:01-B*15:03-C*02:02-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.01201,999
 1,074  A*02:01-B*15:04-C*04:01-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.01201,999
 1,075  A*02:01-B*39:13-C*07:02-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.01201,999
 1,076  A*02:01-B*51:01-C*15:09-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.01201,999
 1,077  A*02:06-B*27:05-C*07:04-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.01201,999
 1,078  A*02:06-B*39:01-C*07:02-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.01201,999
 1,079  A*02:06-B*44:03-C*16:01-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.01201,999
 1,080  A*02:06-B*48:03-C*08:01-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.01201,999
 1,081  A*02:11-B*15:04-C*04:01-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.01201,999
 1,082  A*02:11-B*39:13-C*07:02-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.01201,999
 1,083  A*11:01-B*18:01-DRB1*08:02  Israel Argentina Jews 0.01204,307
 1,084  A*24:02-B*39:01-C*07:02-DRB1*08:02  Hong Kong Chinese BMDR 0.01207,595
 1,085  A*25:01-B*39:01-C*07:02-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.01201,999
 1,086  A*25:01-B*44:03-C*16:01-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.01201,999
 1,087  A*31:01-B*27:05-C*07:04-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.01201,999
 1,088  A*31:01-B*48:03-C*08:01-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.01201,999
 1,089  A*32:01-B*15:01-C*01:02-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.01201,999
 1,090  A*32:01-B*15:03-C*02:02-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.01201,999
 1,091  A*32:01-B*27:02-C*02:02-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.01201,999
 1,092  A*32:01-B*51:01-C*15:09-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.01201,999
 1,093  A*68:01-B*15:01-C*01:02-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.01201,999
 1,094  A*68:01-B*27:02-C*02:02-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.01201,999
 1,095  A*01:01-B*07:02-DRB1*08:02  Israel Argentina Jews 0.01194,307
 1,096  A*02:11-B*44:03-C*07:06-DRB1*08:02-DQB1*04:02  India Central UCBB 0.01194,204
 1,097  A*02:11-B*48:01-C*08:01-DRB1*08:02-DQB1*04:02  India Central UCBB 0.01194,204
 1,098  A*11:01-B*35:03-C*04:01-DRB1*08:02-DQB1*04:02  India South UCBB 0.011911,446
 1,099  A*24:02-B*44:03-C*07:06-DRB1*08:02-DQB1*04:02  India Central UCBB 0.01194,204
 1,100  A*26:01-B*27:05-C*02:02-DRB1*08:02-DQB1*04:02  India Central UCBB 0.01194,204

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 1,471) records   Pages: 11 12 13 14 15 of 15  


   

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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