2/ Shots fired: "[S]tudies of gene-environment interaction . . . are more likely to be productive than studies of genes or environmental factors individually" (written v neatly; not sure criticisms of twin studies apply to the whole field?) #bib0037">https://www.sciencedirect.com/science/article/pii/S0165178119306298 #bib0037">https://www.sciencedirect.com/science/a...
3/ My brain is the worst: it& #39;s a v interesting paper, with a key gene sequenced, my brain "oh no, doughnut chart that contributes little!" which is a v minor point https://www.nature.com/articles/s41380-019-0583-1">https://www.nature.com/articles/...
4/ This study reminds me of a later Ruderfer et al& #39;s v insightful multiple symptoms across psychosis and PRSs paper - I like how this one makes bold claims and then is v clear & transparent on limitations, potentially simultaneously diluting bold claims https://onlinelibrary.wiley.com/doi/full/10.1111/acps.12307">https://onlinelibrary.wiley.com/doi/full/...
5/ Instead of genetics, reading collected writings by Douglas Crimp (RIP), a beautifully lucid writer on art history, AIDS-related activism & art etc. The most famous book on that crisis is (perhaps) And the Band Played On. This is a sublime critique of it #page_scan_tab_contents">https://www.jstor.org/stable/pdf/3397576.pdf?seq=1 #page_scan_tab_contents">https://www.jstor.org/stable/pd...
6/ Confirmation bias in an interesting manner in post-GWAS. Not on gene pathways but got me thinking: how do people address confirmation bias in pathway work (my dream I know little of)? Compare multiple databases and meta-analyse GWAS hit interpretations? https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6590226/">https://www.ncbi.nlm.nih.gov/pmc/artic...
7/ I really didn& #39;t enjoy the unfunny wittiness but some criticisms I felt: citizen science programmes feel like unpaid labour, we are potentially not giving the general public what it wants, who considers Facebook for science cool, what is really "open"? https://journals.sagepub.com/doi/full/10.1177/0306312718772086">https://journals.sagepub.com/doi/full/...
8/ This study includes APOE B rather than everyone& #39;s beloved APOE E but still, it is so detailed (there are even comparisons between pre- and post-menopausal women and men!) https://www.biorxiv.org/content/biorxiv/early/2019/11/09/837021.full.pdf">https://www.biorxiv.org/content/b...
9/ Eek, so sorry, I am already falling behind! The trouble is I am reading my articles v in between other things. Anyhow. Some good stuff will be coming up to get me back on track! For today: figures a bit messy but steps fair and described clearly https://link.springer.com/article/10.1007/s10654-019-00576-5">https://link.springer.com/article/1...
12/ @weihuali11, @giacomolivan and colleagues: while the definition of "top" is convincing, I wonder if results would be v different if different "topness" was considered (e.g. researchers well-known nationally, less so internationally, if even possible?) https://www.nature.com/articles/s41467-019-13130-4">https://www.nature.com/articles/...
13/ Those "suggestive" GWAS associations are gonna make some scream... Jokes aside, great work. I think results weren& #39;t broken down by infection type (sample size was)? It would be interesting to dig (ofc I need to know what& #39;s up with my beloved flu) https://www.nature.com/articles/s41398-019-0622-3">https://www.nature.com/articles/...
15/ As all articles about slow academia, this one annoyed me slightly. It didn& #39;t really present how we would make the transition into slow (definitely wise!) without harming ECRs ("tenured key members" can sort of chill a bit more anyway, compared to ECRs) https://www.cell.com/trends/cognitive-sciences/fulltext/S1364-6613(19)30242-6">https://www.cell.com/trends/co...
17/ Let& #39;s try again (sorry for a broken link!): this paper has really cool methodological solutions in place but I occasionally wonder if the omnigenic model can even be really falsified (or falsified under methods we have for now) https://www.nature.com/articles/s41386-019-0410-z">https://www.nature.com/articles/...
20/ Finally read this article and I& #39;m glad. While the conclusion is obviously distressing, it was also a really neatly written article, describing key issues very clearly https://insights.ovid.com/crossref?an=00041444-201810000-00002">https://insights.ovid.com/crossref...
21/ Cool idea to look into whether artificial neural networks would be more useful in predicting case-control status in schizophrenia than PRS but the title feels a bit misleading https://arxiv.org/ftp/arxiv/papers/1911/1911.08996.pdf">https://arxiv.org/ftp/arxiv...
23/ I& #39;d love to learn more about networks but what if it& #39;s Brexit of genetics (oh no). Some very interesting (and... entertaining?) writing from @jonathan_flint1 & @TreyIdeker https://doi.org/10.1371/journal.pgen.1008519">https://doi.org/10.1371/j...
26/ This work, by @melindacmills and Charles Rahal, is so in-depth. I knew our samples were genome-white but I didn& #39;t know for instance that we are bad at even describing samples in a way that enables straightforward identification of ancestries included https://www.nature.com/articles/s42003-018-0261-x">https://www.nature.com/articles/...
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