A well-behaved GWAS yields strong signals for the kinds of genes that contribute to the phenotypic variation.
This provides strong priors for discerning likely causal genes hidden at other loci.
With this in mind, let's revisit the telomere GWAS
Just going by closest gene, many telomere biology related themes emerge
I colored in this figure from the paper according to closest approach of each gene to a telomere GWAS signal.
Clearly this GWAS is telling us to look at telomere biology.
With circular DNA any "naked" end is a sign of DNA damage.
However, since our chromosomes are linear cells have to take precautions to prevent chromosome ends from being "repaired" and fused. jme.bioscientifica.com/view/journals/…
The shelterin complex is part of the solution, preventing DNA repair machinery from inappropriately joining chromosome ends pubmed.ncbi.nlm.nih.gov/26581518/
Many of these genes are in the previous figure but there are some new players.
My eye was drawn to Apollo.
The Apollo protein apparently has 2 roles.
One is in normal DNA repair, but the 2nd is in telomere maintenance where it interacts with TERF2.
The Apollo gene can be a causal gene for Hoyeraal-Hreidarsson syndrome
The Artemis protein is also a DNA repair enzyme; it was named as a "guardian of the genome", apparently mirroring Artemis' traditional role of guardian of small children:
According to ensembl Artemis and Apollo are each other's closest paralog (homolog in the same genome), but the identity is quite low and there are orthologs throughout animals and fungi suggesting Artemis and Apollo split more than 1 billion years ago.
The SNP implicating Apollo is rs3838300. According to my analysis, DCLRE1B, the Apollo gene, is only the 2nd closest to this SNP, thus it was not included in my gene set analysis.
SupTable1 lists this as the MAGI3 locus.
eQTL analysis assigned this to AP4B1 (ST4)
Besides DCLRE1B I think I found 5 more telomere-related genes near telomere-length GWAS not discussed in the paper.
This quick STRING analysis picks up one of them, ATM, which, like DCLRE1B, has known interactions with the shelterin proteins. ATM is the closest gene to locus 72.
That's probably enough for now so I'll leave you with this golden statue of Apollo as he takes aim at the teal-o-meres.
Should be a good mnemonic for something...
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Today's GWAS of urolithiasis, kidney stones and other stones of the urinary tract, provides a wonderful window into calcium, phosphate and vitamin D metabolism.
One nice thing about putting my GWAS interpretations here in Twitter is I can always quickly find what I may have written about a gene or a trait before.
Here's my write up on urolithiasis from 2 years ago in a completely different cohort, biobank japan
On the left is the top hits from @finngen; on the right the top hits from Biobank Japan.
5 of 6 loci from FinnGen also found in BBJ.
Note some of the lead SNPs may differ, but the causal genes line up.
Welcome all! We've added several hundred followers over the past few weeks, so as a quick intro, I use this account mainly to explore interesting issues related to the biological interpretation of GWAS @SbotGwa from @andganna provides me with a steady diet of interesting material
@SbotGwa alternates between GWAS from @uk_biobank and @FinnGen_FI.
Yesterday's Manhattan plot from FinnGen yielded a single hit for the trait "other and unspecified corneal deformities and disorders"
Let's dive in,
I often say it's good to take the most significant association at a locus as we start to interpret it. @FinnGen_FI uses a modified PheWeb server to show results.
Here is the PheWAS for this SNP.
Top association is Keratitis, inflammation of the cornea.
Thanks for the shout out, and welcome any new followers.
I like looking at GWAS and trying to decipher the causal biology behind the hits.
I use this account to highlight interesting results and provide links to the tools and approaches I find most useful.
One theme I come back to is that because the closest gene is usually the correct causal gene any analysis of a new GWAS should start there.
Here's a story from almost a year ago, a great study on heart trabeculae that initially ignored the closest genes
Fortunately this paper was on biorxiv. After I tweeted about the omissions and before it was published in Nature, the paper was amended to include 2 of the prominent heart structure genes: pubmed.ncbi.nlm.nih.gov/32814899/
I love the idea of this GWAS. The authors estimated the abundance of mtDNA in the blood of @uk_biobank participants by using the intensities of probes mapping to the mito genome
@HaggSara
Juulia Jylhävä
Yunzhang Wang
Kamila Czene &
Felix Grassmann
I count 1,199 lead SNPs in this Manhattan plot! Nothing specifically special about leg fat free mass; this trait is highly correlated with other body size traits: ukbb-rg.hail.is/rg_summary_231…
About half the genes in the diagram (the ones with a 7) are also involved in closely related monogenic diseases. This is generally a reliable way to identify a true causal gene.
I looked across all the loci at all genes involved in "rare cardiac diseases" orpha.net/consor/cgi-bin…
First up are genes involved in depolarization and repolarization of the heart. These are all previously known loci, but fall into that nice category of closest gene and also rare disease gene that makes them highly likely to be causal (ok: SCN5A/SCN10A is a special case)