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Jan 20, 2022 15 tweets 8 min read Read on X
1/ Knowing the frequency for alleles of genomic variants in populations around the world helps us understand phenotypes and disease 🌎🌍🌏

We’re here to take you through the data in @ensembl step-by-step. A thread…🧵

#genomics #bioinformatics #tweetorial #Ensembltraining🧬
2/ The way you approach this problem will depend on if you are starting with a #gene of interest or if you already have the ID (e.g rs699) of a variant for which you want to find the observed allele frequencies.
3/ If you are starting with a gene, search for the gene name or ID from the #Ensembl homepage and navigate to the Gene tab.
4/ Now, click on ‘Variant table’ in the menu on the left hand side of the page to view all short sequence variants found within the gene.
5/ Among lots of other #data, there is a column called ‘Global MAF’. This column will report the Minor Allele Frequency (MAF) observed for this variant in the @1000genomes project, if available.
6/ You can filter the table based on the MAF to show variants with commonly or rarely observed minor alleles. Just click on the blue ‘Global MAF’ button in the Filter section above the table and drag the slider to choose the MAF range to want to see.
7/ ⚠️ Warning ⚠️ This will also remove all variants with no MAF reported from the table.
8/ Now, click on the ID of the variant within the table to navigate to the Variant tab to find out more. Alternatively, if you already know the ID of your variant of interest (e.g rs699), you can search for the variant ID from the homepage.
9/ Now that we’re in the variant tab, click on ‘Population genetics’ to navigate to a page showing observed allele frequencies for different populations across a number of different projects. The data is presented as pie charts and in tabular form as well.
10/ For human 🧑‍🤝‍🧑, Ensembl presents allele frequencies from the @1000genomes, @gnomad_project, @NCBI ALFA project, GEM-J project, GGVP, @nih_nhlbi Exome sequencing project, TOPMed and UK10K projects:

ensembl.org/info/genome/va…
11/ Scroll down to see all of the data available for your variant!
12/ Click on ‘Sub-populations’ to see observed allele frequencies in the individual populations that make up the continental populations.
13/ The table shows allele frequencies for each individual population on the left (remember each person sequenced in the projects contributes 2 allele counts as humans are diploid!) and genotype frequencies on the right (homo- or heterozygous)
14/ Click on ‘Show’ in the Genotypes column in the table to jump to a table showing you the observed genotype for each individual. You can use the sample ID to order cell lines derived from each individual in the @1000genomes project from the @Coriell_Science cell repository
15/ There is also allele frequency data for other vertebrates as well as non-vertebrates in @ensemblgenomes:
​​ensembl.org/info/genome/va…

🐭🐄🐶🐟🌾🦠🦟

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More from @ensembl

Feb 8
1/ Do you have a list of @ensembl IDs that you want to convert to IDs from other databases?

Here's how you can retrieve the @NCBI gene IDs from a list of #Ensembl IDs. A thread...🧵

#genomics #bioinformatics #tweetorial #Ensembltraining 🧬 A table showing Ensembl stable gene IDs in one column and the corresponding NCBI gene IDs in the next column, with a red arrow between them
2/ The #BioMart tool is what you’re going to need for this task. You can find it in the blue header from the @ensembl homepage: ensembl.org/biomart/martvi…
Screenshot of the Ensembl genome browser homepage with a labelled red arrow pointing towards the link for the BioMart tool
3/ First, you’ll need to select your database type and species of interest using the drop-down menus. In this case, we want to select ‘Ensembl Genes 111’ and the ‘Human genes’ dataset.
Read 14 tweets
Nov 23, 2023
1/ From ~20,000 coding genes in humans, biological complexity is also the result of gene/transcript expression levels in different tissues 📈

Want to see the expression of a #gene using @ensembl? A thread...🧵

#genomics #bioinformatics #tweetorial #Ensembltraining 🧬 Screenshot from the Ensembl genome browser showing the location tab with tracks displaying gene models and RNASeq alignments from adipose and blood tissue
2/ Gene-level tissue-specific expression patterns from @ExpressionAtlas are displayed in the Gene tab. Just search for your gene of interest, click through to the gene tab and then click on ‘Gene Expression’ in the left-hand menu. Let’s use SERPINA3 as an example:
@ExpressionAtlas 3/ On this page, you can view baseline expression results as a heatmap with all tissues studied (columns) in different experiments (rows) in which the gene is expressed above the default minimum expression level. Screenshot from the Ensembl genome browser showing tissue specific expression patterns of the SERPINA3 gene
Read 11 tweets
Jul 6, 2023
1/ Do you want to know if a variant will affect the structure and function of a protein?

We’ve got lots of tools and #data in @ensembl to help you investigate and we’re here to show you how! A thread...🧵

#genomics #bioinformatics # #tweetorial #Ensembltraining🧬
2/ If you are working with human 🧑‍🤝‍🧑 variation data, genome-wide variant deleteriousness rankings from the CADD algorithm are available as well as pathogenicity predictions from SIFT, Polyphen-2, REVEL, MutationAssessor and MetaLR for missense variants.
3/ You can see all this data in the ‘Variant Table’ page in the gene tab
👉 https://t.co/vZAsntjEXYensembl.org/Homo_sapiens/G…
Read 10 tweets
Feb 23, 2023
1/ My favourite gene has 15 transcripts, which one should I use for further analysis? To report the position of variants? To design primers for? 🤯

This #tweetorial will show you how to filter and prioritise transcripts… 🧵

#genomics #bioinformatics #Ensembltraining 🧬 Screenshot of the transcript table of the LAMA3 gene in the
2/ To start, look for the #canonical tag in the flags column of the transcript table. The canonical transcript is based on conservation, expression, concordance with @appris_cnio and @uniprot, length, clinically important variants and completeness. Screenshot of the transcript table of the LAMA3 gene in the
3/ Many Ensembl #canonical transcripts will also be the #MANESelect, which is our collaboration with @NCBI. These transcripts match perfectly with RefSeq transcripts, so are the best to report variant location. Screenshot of the transcript table of the LAMA3 gene in the
Read 8 tweets
Dec 22, 2022
1/ Are you ready for 🎄🎅Chirstmas #Tweetorial? Whether you need the sequence for a single exon or whole #genome we got you covered! In the spirit of #Christmas, we will use Vitis vinifera 🍇 🍷in our example
#genomics #bioinformatics #Ensembltraining
2/ If you need the sequence of a single #gene, you can search for the gene symbol or ID from Ensembl homepage and click on ‘Sequence’ in the menu on the left
3/ From this page, you can download the sequence of the gene by clicking on the blue ‘Download Sequence’ button just above the sequence display.
Read 10 tweets
Aug 11, 2022
1/
It’s another Thursday, and that means it’s time for another #tweetorial! Today, we want to show you how you can view RefSeq #annotations on Ensembl 🥳

#bioinf #genomics #assembly #EnsemblTraining
2/
While Ensembl gene models are annotated directly on the reference genome, #RefSeq are annotated on mRNA sequences. In other words: genome browsers will have different annotation methods, so you might be interested in comparing these annotations side-by-side 📖🤔
3/
👂🏽You say you want to make direct comparisons of annotations between @NCBI’s RefSeq and Ensembl? Now is your time to try it out on Ensembl! 🏃🏽
Read 9 tweets

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