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 3,341) records   Pages: 11 12 13 14 15 16 17 18 19 20 of 34  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1,001  A*02:01:01-B*15:02:01-C*08:01:01-DRB1*15:01:01-DQB1*05:02:01  India Kerala Malayalam speaking 0.1400356
 1,002  A*02:01:01-B*18:01:01-C*03:03:01-DRB1*08:03:02-DQB1*06:03:01  India Kerala Malayalam speaking 0.1400356
 1,003  A*02:01:01-B*35:03:01-C*03:03:01-DRB1*15:01:01-DQB1*06:01:01  India Kerala Malayalam speaking 0.1400356
 1,004  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
 1,005  A*02:01:01-B*35:03:01-C*12:03:01-DRB1*13:01:01-DQB1*06:03:01  India Kerala Malayalam speaking 0.1400356
 1,006  A*02:01:01-B*40:01:02-C*03:03:01-DRB1*01:01:01-DQB1*05:01:01  India Kerala Malayalam speaking 0.1400356
 1,007  A*02:01:01-B*40:01:02-C*03:04:01-DRB1*04:03:01-DQB1*05:03:01  India Kerala Malayalam speaking 0.1400356
 1,008  A*02:01:01-B*40:01:02-C*07:06-DRB1*04:01:01-DQB1*02:02:01  India Kerala Malayalam speaking 0.1400356
 1,009  A*02:01:01-B*40:02:01-C*07:02:01-DRB1*04:10:01-DQB1*06:15:01  India Kerala Malayalam speaking 0.1400356
 1,010  A*02:01:01-B*40:06:01-C*01:02:01-DRB1*01:01:01-DQB1*05:01:01  India Kerala Malayalam speaking 0.1400356
 1,011  A*02:01:01-B*40:06:01-C*01:02:01-DRB1*15:01:01-DQB1*06:02:01  India Kerala Malayalam speaking 0.1400356
 1,012  A*02:01:01-B*40:06:01-C*03:02:01-DRB1*15:01:01-DQB1*06:09:01  India Kerala Malayalam speaking 0.1400356
 1,013  A*02:01:01-B*40:06:01-C*15:07-DRB1*03:01:01-DQB1*02:01:01  India Kerala Malayalam speaking 0.1400356
 1,014  A*02:01:01-B*41:02:01-C*17:01:01-DRB1*13:03:01-DQB1*03:01:01  India Kerala Malayalam speaking 0.1400356
 1,015  A*02:01:01-B*44:02:01-C*05:01:01-DRB1*15:02:01-DQB1*06:01:01  India Kerala Malayalam speaking 0.1400356
 1,016  A*02:01:01-B*44:03:02-C*07:06-DRB1*01:01:01-DQB1*05:01:01  India Kerala Malayalam speaking 0.1400356
 1,017  A*02:01:01-B*51:06:01-C*06:02:01-DRB1*15:01:01-DQB1*06:02:01  India Kerala Malayalam speaking 0.1400356
 1,018  A*02:01:01-B*52:01:01-C*12:02:01-DRB1*07:01:01-DQB1*06:01:01  India Kerala Malayalam speaking 0.1400356
 1,019  A*02:01:01-B*52:01:01-C*12:02:02-DRB1*15:02:01-DQB1*03:02:01  India Kerala Malayalam speaking 0.1400356
 1,020  A*02:01:01-B*55:02:01-C*12:03:01-DRB1*03:01:01-DQB1*02:01:01  India Kerala Malayalam speaking 0.1400356
 1,021  A*02:01:01-B*56:01:01-C*01:02:01-DRB1*15:06:01-DQB1*05:02:01  India Kerala Malayalam speaking 0.1400356
 1,022  A*02:01:01-B*56:01:01-C*04:03:01-DRB1*14:04:01-DQB1*06:09:01  India Kerala Malayalam speaking 0.1400356
 1,023  A*02:01:01-B*56:01:01-C*15:02:01-DRB1*04:01:01-DQB1*03:02:01  India Kerala Malayalam speaking 0.1400356
 1,024  A*02:01:01-B*57:01:01-C*03:02:01-DRB1*04:01:01-DQB1*03:02:01  India Kerala Malayalam speaking 0.1400356
 1,025  A*02:01:01-B*07:02:01-C*07:02:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.139923,595
 1,026  A*02:01:01:01-B*07:02:01-C*07:02:01:03-DRB1*13:01:01-DQB1*06:03:01  Russia Nizhny Novgorod, Russians 0.13931,510
 1,027  A*02:01:01-B*35:01:01-C*03:03:01-DRB1*08:01:01-DQB1*04:02:01  Poland BMR 0.136823,595
 1,028  A*02:01:01:01-B*40:01:02-C*03:04:01:01-DRB1*04:04:01-DQB1*03:02  Russia Nizhny Novgorod, Russians 0.13511,510
 1,029  A*02:01:01-B*40:02:01-C*03:04:01-DRB1*11:01:01-DQB1*03:01:01  China Zhejiang Han 0.13491,734
 1,030  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
 1,031  A*02:01:01-B*18:01:01-C*12:03:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.132623,595
 1,032  A*02:01:01:01-B*27:05:02-C*02:02:02-DRB1*13:01:01-DQB1*06:03:01  Russia Nizhny Novgorod, Russians 0.13251,510
 1,033  A*02:01:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01-DPB1*02:01:02  Saudi Arabia pop 6 (G) 0.131028,927
 1,034  A*02:01:01-B*08:01:01-C*07:02:01-DRB1*03:01:01-DQB1*02:01:01-DPB1*02:01:02  Saudi Arabia pop 6 (G) 0.130428,927
 1,035  A*02:01:01-B*44:03:01-C*16:01:01-DRB1*07:01-DQB1*03:03  Costa Rica Central Valley Mestizo (G) 0.1303221
 1,036  A*02:01:01:01-B*44:02:01:01-C*05:01:01-DRB1*04:04:01-DQB1*03:02  Russia Nizhny Novgorod, Russians 0.12971,510
 1,037  A*02:01:01-B*18:01:01-C*07:01:01-DRB1*01:03-DQB1*05:01  Costa Rica Central Valley Mestizo (G) 0.1286221
 1,038  A*02:01:01-B*15:01:01-C*18:01-DRB1*07:01-DQB1*03:03  Costa Rica Central Valley Mestizo (G) 0.1264221
 1,039  A*02:01:01-B*07:02:01-C*07:02:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.123623,595
 1,040  A*02:01:01-B*51:01:01-C*15:02:01-DRB1*03:01:01-DQB1*02:01:01-DPB1*04:01:01  Saudi Arabia pop 6 (G) 0.121028,927
 1,041  A*02:01:01-B*27:05:02-C*02:02:02-DRB1*07:01:01-DQB1*03:03:02  Poland BMR 0.120423,595
 1,042  A*02:01:01-B*07:02:01-C*07:02:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.119523,595
 1,043  A*02:01:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02  Russia Nizhny Novgorod, Russians 0.11951,510
 1,044  A*02:01:01-B*18:01:01-C*07:01:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.117223,595
 1,045  A*02:01:01-B*44:02:01-C*05:01:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.116723,595
 1,046  A*02:01:01-B*51:01:01-C*15:02:01-DRB1*04:04:01-DQB1*03:02:01  Poland BMR 0.115823,595
 1,047  A*02:01:01-B*07:02:01-C*07:02:01-DRB1*07:01:01-DQB1*02:01:01-DPB1*02:01:02  Saudi Arabia pop 6 (G) 0.115728,927
 1,048  A*02:01:01-B*51:01:01-C*15:02:01-DRB1*12:02:01-DQB1*03:01:01  China Zhejiang Han 0.11541,734
 1,049  A*02:01:01-B*15:11:01-C*03:03:01-DRB1*11:01:01-DQB1*03:01:01  China Zhejiang Han 0.11531,734
 1,050  A*02:01:01-B*35:01:01-C*03:03:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.11531,734
 1,051  A*02:01:01-B*39:01:01-C*07:02:01-DRB1*04:04:01-DQB1*03:02:01  China Zhejiang Han 0.11531,734
 1,052  A*02:01:01-B*51:01:01-C*16:02:01-DRB1*16:01-DQB1*05:02:01-DPB1*02:01:02  Saudi Arabia pop 6 (G) 0.114628,927
 1,053  A*02:01:01-B*40:01:02-C*07:02:01-DRB1*04:05:01-DQB1*04:01:01  China Zhejiang Han 0.11451,734
 1,054  A*02:01:01-B*44:03:01-C*16:02:01-DRB1*04:02:01-DQB1*03:02:01  Poland BMR 0.114223,595
 1,055  A*02:01:01:01-B*51:01:01-C*01:02:01-DRB1*11:01:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.11381,510
 1,056  A*02:01:01-B*44:02:01-C*05:01:01-DRB1*12:01:01-DQB1*03:01:01  Poland BMR 0.113823,595
 1,057  A*02:01:01:01-B*38:01:01-C*12:03:01:01-DRB1*13:01:01-DQB1*06:03:01  Russia Nizhny Novgorod, Russians 0.11271,510
 1,058  A*02:01:01:01-B*44:02:01:01-C*05:01:01:02-DRB1*11:04:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.11241,510
 1,059  A*02:01:01-B*39:08-C*07:02:01-DRB1*08:02:01  Costa Rica Amerindians (G) 0.1116125
 1,060  A*02:01:01-B*14:01:01-C*08:02:01-DRB1*01:01-DQB1*03:01  Costa Rica Central Valley Mestizo (G) 0.1111221
 1,061  A*02:01:01-B*14:01:01-C*08:02:01-DRB1*01:01-DQB1*05:01  Costa Rica Central Valley Mestizo (G) 0.1111221
 1,062  A*02:01:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01-DPB1*03:01:01  Saudi Arabia pop 6 (G) 0.109328,927
 1,063  A*02:01:01-B*13:01:01-C*03:04:01-DRB1*12:02:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.10835,266
 1,064  A*02:01:01-B*51:08-C*16:02:01-DRB1*13:02:01-DQB1*06:04:01-DPB1*04:01:01  Saudi Arabia pop 6 (G) 0.106628,927
 1,065  A*02:01:01-B*40:01:02-C*07:02:01-DRB1*08:09:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.10655,266
 1,066  A*02:01:01-B*46:01:01-C*01:02:01-DRB1*08:03:02-DQB1*06:01:01  China Zhejiang Han 0.10591,734
 1,067  A*02:01:01:01-B*44:02:01:01-C*05:01:01:02-DRB1*07:01:01-DQB1*02:02  Russia Nizhny Novgorod, Russians 0.10581,510
 1,068  A*02:01:01-B*56:01:01-C*01:02:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.104023,595
 1,069  A*02:01:01-B*38:01:01-C*12:03:01  England Blood Donors of Mixed Ethnicity 0.1029519
 1,070  A*02:01:01-B*39:06:02-C*07:02:01  England Blood Donors of Mixed Ethnicity 0.1024519
 1,071  A*02:01:01-B*57:01:01-C*06:02:01-DRB1*13:01:01-DQB1*06:03:01-DPB1*04:01:01  Saudi Arabia pop 6 (G) 0.102328,927
 1,072  A*02:01:01:01-B*40:01:02-C*03:04:01:01-DRB1*15:01:01-DQB1*06:02:01  Russia Nizhny Novgorod, Russians 0.10181,510
 1,073  A*02:01:01:01-B*15:01:01-C*04:01:01-DRB1*08:01:01-DQB1*04:02:01  Russia Nizhny Novgorod, Russians 0.10151,510
 1,074  A*02:01:01-B*44:02:01-C*05:01:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.101423,595
 1,075  A*02:01:01:01-B*07:02:01-C*07:02:01:03-DRB1*03:01:01-DQB1*02:01  Russia Nizhny Novgorod, Russians 0.10111,510
 1,076  A*02:01:01-B*39:24-C*07:01:01-DRB1*04:01:01-DQB1*03:02:01-DPB1*17:01:01  Saudi Arabia pop 6 (G) 0.101028,927
 1,077  A*02:01:01-B*50:01:01-C*06:02:01-DRB1*15:01-DQB1*03:02  Costa Rica Central Valley Mestizo (G) 0.1006221
 1,078  A*02:01:01-B*50:01:01-C*06:02:01-DRB1*15:01-DQB1*06:02  Costa Rica Central Valley Mestizo (G) 0.1006221
 1,079  A*02:01:01:01-B*07:02:01-C*07:02:01:03-DRB1*14:54-DQB1*05:03:01  Russia Nizhny Novgorod, Russians 0.09991,510
 1,080  A*02:01:01:01-B*14:02:01-C*08:02:01-DRB1*01:02:01-DQB1*05:01  Russia Nizhny Novgorod, Russians 0.09981,510
 1,081  A*02:01:01:01-B*56:01:01-C*01:02:01-DRB1*01:01:01-DQB1*05:01  Russia Nizhny Novgorod, Russians 0.09981,510
 1,082  A*02:01:01-B*55:01:01-C*03:03:01  England Blood Donors of Mixed Ethnicity 0.0998519
 1,083  A*02:01:01:01-B*13:02:01-C*06:02:01:01-DRB1*11:01:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.09931,510
 1,084  A*02:01:01:01-B*18:01:01-C*07:01:01-DRB1*04:01:01-DQB1*03:02  Russia Nizhny Novgorod, Russians 0.09931,510
 1,085  A*02:01:01:01-B*27:05:02-C*02:02:02-DRB1*07:01:01-DQB1*02:02  Russia Nizhny Novgorod, Russians 0.09931,510
 1,086  A*02:01:01:01-B*40:02:01-C*02:02:02-DRB1*01:01:01-DQB1*05:01  Russia Nizhny Novgorod, Russians 0.09931,510
 1,087  A*02:01:01:01-B*48:01:01-C*08:03:01-DRB1*12:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.09931,510
 1,088  A*02:01:01:01-B*51:01:01-C*15:02:01:01-DRB1*04:04:01-DQB1*03:02  Russia Nizhny Novgorod, Russians 0.09931,510
 1,089  A*02:01:01-B*27:05:02-C*02:02:02-DRB1*04:04:01-DQB1*03:02  Russia Nizhny Novgorod, Russians 0.09931,510
 1,090  A*02:01:01-B*40:01:02-C*03:04:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.098123,595
 1,091  A*02:01:01-B*18:01:01-C*07:01:01-DRB1*01:03-DQB1*03:01  Costa Rica Central Valley Mestizo (G) 0.0976221
 1,092  A*02:01:01-B*44:02:01-C*07:04:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.097323,595
 1,093  A*02:01:01-B*14:02:01-C*08:92  England Blood Donors of Mixed Ethnicity 0.0963519
 1,094  A*02:01:01-B*18:03-C*07:01:01  England Blood Donors of Mixed Ethnicity 0.0963519
 1,095  A*02:01:01-B*27:05:04-C*01:02:01  England Blood Donors of Mixed Ethnicity 0.0963519
 1,096  A*02:01:01-B*35:01:01-C*03:04:01  England Blood Donors of Mixed Ethnicity 0.0963519
 1,097  A*02:01:01-B*35:08:01-C*04:01:01  England Blood Donors of Mixed Ethnicity 0.0963519
 1,098  A*02:01:01-B*39:01:01-C*12:03:01  England Blood Donors of Mixed Ethnicity 0.0963519
 1,099  A*02:01:01-B*40:02:01-C*15:02:01  England Blood Donors of Mixed Ethnicity 0.0963519
 1,100  A*02:01:01-B*44:02:01-C*16:04:01  England Blood Donors of Mixed Ethnicity 0.0963519

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 3,341) records   Pages: 11 12 13 14 15 16 17 18 19 20 of 34  


   

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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