Danielle
@daniposthu.bsky.social
560 followers 550 following 5 posts
Scientist. Mother. Captain's wife. Loves numbers. https://cncr.nl/ctg/
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Reposted by Danielle
lakens.bsky.social
If you are preparing your bachelor statistics course and would like to add optional material for students to better understand statistics on a conceptual level (see topics in the screenshot) my free textbook provides a state of the art overview. lakens.github.io/statistical_...
Reposted by Danielle
daniposthu.bsky.social
#ctglab is hiring! We have #vacancies! 2 PhD & 2 postdoc positions, in #statistical #genetics and/or #bioinformatics - if you like GWAS, method development and linking with biology - check these out 👇

werkenbij.vu.nl/vacatures/tw...

werkenbij.vu.nl/vacatures/po...

werkenbij.vu.nl/vacatures/po...
daniposthu.bsky.social
#ctglab is hiring! We have #vacancies! 2 PhD & 2 postdoc positions, in #statistical #genetics and/or #bioinformatics - if you like GWAS, method development and linking with biology - check these out 👇

werkenbij.vu.nl/vacatures/tw...

werkenbij.vu.nl/vacatures/po...

werkenbij.vu.nl/vacatures/po...
Reposted by Danielle
mjschipper.bsky.social
Current integrative prioritization methods use either functional data (L2G, cS2G) or network convergence of GWAS signal (PoPS).

FLAMES combines both, by combining XGBoost predictions using functional evidence in the GWAS locus with PoPS predictions.
Reposted by Danielle
michelnivard.bsky.social
🚨 This will become a curated list of awesome tools for complex trait genetics, **add yours**! it may become a review in which case those who contribute are invited as co-authors.
GitHub - MichelNivard/awesome-complex-trait-genetics: A list of awesome tools for complex trait genetics.
A list of awesome tools for complex trait genetics. - MichelNivard/awesome-complex-trait-genetics
github.com
Reposted by Danielle
ericfauman.bsky.social
I've set 2 personal goals.

One is to identify the causal gene for every lead snp in the @gwascatalog.bsky.social

The other is to assign a GWAS trait to every human gene.

Unfortunately the gwas catalog is growing exponentially and I'm not.

I'm at 103,605 "solved" loci out of 563,097 lead snps
Reposted by Danielle
nachristakis.bsky.social
The bacteria in your gut depend on where you are in the social network around you.

The microbes within us treat our social networks as the extended environment in which they thrive. They can spread from person to person.

New #HNL work out today in @natureportfolio.bsky.social . 1/
daniposthu.bsky.social
So sorry to miss #wcpg2025 #stuckwithgrantwriting BUT #ctglab is well represented, please look out for Marijn Schipper, Emil Uffelmann, Nathan Bell, Bernardo Maciel, Cato Romero, Jeanne Savage & Zeli Chen - they will be presenting the latest outcomes from our lab this week!
Reposted by Danielle
briannosek.bsky.social
#EEGManyLabs will replicate 20 of the highest impact findings in the field in at least three labs each. All studies will be planned and published as Registered Reports.

Paper: d1wqtxts1xzle7.cloudfront.net/95338626/1_s...
Reposted by Danielle
Reposted by Danielle
sashagusevposts.bsky.social
Now what happens if we estimate direct/indirect heritability (using a within-family method) in the presence of assortative mating and shared environment? Direct estimates are reasonable/deflated, but indirect estimates are HUGELY inflated by AM. Indirect heritability is NOT "genetic nurture".
Reposted by Danielle
philipleftwich.bsky.social
#rstats
What are your favourite examples when teaching students to think critically about data/figures and interpretations?

For example, Simpson's Paradox and the importance of considering important subpopulations - is brilliantly displayed in the Palmer Penguins dataset.
A negative correlation between bill length and bill depth A positive correlation between bill depth and bill length when appropriate sub-populations are considered