Phewas
The last thing I wanted to check are other GWAS that have signal similar to the one as DecodeME in chromosome 20.
I used multiple data sources:
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Open Targets offers credible sets so I could check if these overlap with the credible set for DecodeME in this region. This was the case for two studies: one on loneliness using the 12-item EPQ-R neuroticism questionnaire and one on educational attainment.
- The
GWAS catalog lists associations with p < 10-5. So, I checked 274 snps in the region that had p < 1e-5 in DecodeME, to see if any were listed on GWAS Catalog. This returned 53 studies, most on cognitive traits.Approximately half of these had summary data available to do a coloc analysis. The Open Target studies’ data were also retrieved from here.
- Then with
OpenGwas I used the same approach as forestglip but not only with the lead variant (an insertion which not all studies may have tested) but with a couple of represenative SNPs from the DecodeME signal. I then checked if OpenGWAS API had other GWAS with a p < 10-4 for these SNPs. This was the case for 175 of them. I excluded molecular QTL studies (eQTL, protein, metabolite), restricted to European-only (or ancestry not given) to end up with 153.
Next I did colocalisation analysis on them, the full results are in the attached Excel file. Because of my broad screen of thousands of studies, some accidental hits may be present so don’t think these too seriously. Some studies appear twice because they were in multiple databases. Overall, there is a clear pattern where brain traits stand out with depression, schizophrenia, cortical thickness among the top findings.
The depression results at the top all refer to the
Okbay 2016 depressive-symptoms (and bigger depression GWAS don’t replicate this finding). Loneliness (I think they all point to the same study) and biological sex could point to an participation bias effect. On the other hand, ‘frequency of tiredness / lethargy’ (PPH4 = 0.77) and ‘sleeplessness/insomnia’ (PPH4 = 0.71) also scored high. Don’t see any immune findings.
Here’s how the data looks for some of these studies, with the set of 11 core SNPs (with a probability > 85% of including the causal variant) from DecodeME coloured in red.
