Body: <p>The publicly available reference panel for GWAS analysis is the <a href="http://ftp.1000genomes.ebi.ac.uk/vol1/ftp/release/20130502/" rel="nofollow noreferrer">1000 genomes reference panel</a>. The reference panel consists of several populations. However, I am searching for a population-specific publicly available reference panel. I want to perform some analysis like Linkage disequilibrium, inheritance, etc.
  Now there are some imputation reference panels for the specific populations such as UK10k (European), CAAPA (African), etc.</p>
  <p>However, to access this panel we need to go through a lot of agreements and processes. Can anyone give me a list of publicly available population-specific reference panel, preferably, South Asian, European, Eastern Asian, African and Hispanic?</p>
  
Comments.ContentLicense: CC BY-SA 4.0
Comments.CreationDate: 2022-05-31T19:51:00.623Z
Comments.Text: Can you describe why one of the populations in the 1000 genomes reference panel won't work for you?
Comments.UserDisplayName: winni2k
Comments.ContentLicense: CC BY-SA 4.0
Comments.CreationDate: 2022-06-01T07:14:42.417Z
Comments.Text: are you telling me to subset the 1000 genome panel?
Comments.UserDisplayName: Shafayet Rahat
Comments.ContentLicense: CC BY-SA 4.0
Comments.CreationDate: 2022-06-01T07:18:08.910Z
Comments.Text: If that's your question then that's a great question. Answer to the question is that, I'm working on low coverage sequencing(<1x). To achieve the expected accuracy on the imputation of a specific population's sample, it's important for me to have samples of more than 1000 in the reference panel. Now, I can subset the 1000 geome panel. However, it consists roughly 400-800 samples per population which is pretty low for my cause. That's why I need reference panel with larger samples.
Comments.UserDisplayName: Shafayet Rahat
Comments.ContentLicense: CC BY-SA 4.0
Comments.CreationDate: 2022-06-17T08:02:55.333Z
Comments.Text: Very much all population or nation-specific large reference panels are park of national biobanks and you will not get the genotype-level data without having to do the process of requesting the data , since these are protected in almost all cases,
Comments.UserDisplayName: JRodrigoF
Tags: <gwas><imputation>
Title: Publicly available population specific reference panels
ThreadText: # Publicly available population specific reference panels
  
  (Asked by: username_0 on 2022-05-30)
  
  The publicly available reference panel for GWAS analysis is the [1000 genomes reference panel](http://ftp.1000genomes.ebi.ac.uk/vol1/ftp/release/20130502/). The reference panel consists of several populations. However, I am searching for a population-specific publicly available reference panel. I want to perform some analysis like Linkage disequilibrium, inheritance, etc.
  Now there are some imputation reference panels for the specific populations such as UK10k (European), CAAPA (African), etc.
  
  However, to access this panel we need to go through a lot of agreements and processes. Can anyone give me a list of publicly available population-specific reference panel, preferably, South Asian, European, Eastern Asian, African and Hispanic?
  
  **Tags:** gwas, imputation
  
  > **Comments:**
  > **username_1**: Can you describe why one of the populations in the 1000 genomes reference panel won't work for you?  
  > **username_0**: are you telling me to subset the 1000 genome panel?  
  > **username_0**: If that's your question then that's a great question. Answer to the question is that, I'm working on low coverage sequencing(<1x). To achieve the expected accuracy on the imputation of a specific population's sample, it's important for me to have samples of more than 1000 in the reference panel. Now, I can subset the 1000 geome panel. However, it consists roughly 400-800 samples per population which is pretty low for my cause. That's why I need reference panel with larger samples.  
  > **username_2**: Very much all population or nation-specific large reference panels are park of national biobanks and you will not get the genotype-level data without having to do the process of requesting the data , since these are protected in almost all cases,  
  
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  ## 0 answers
  
  