Pro-level advice right there! 🏆✨

That's suspicious, don't trust it. Surely it's a virus.

thanks 🩷✨

Also, check out our 𝗚𝗶𝘁𝗛𝘂𝗯 for all tools from this study 👨‍💻 𝗙𝘂𝗹𝗹𝘆 𝗼𝗽𝗲𝗻 𝘀𝗼𝘂𝗿𝗰𝗲:

• 𝗚𝗗𝗜 𝗳𝗶𝗹𝘁𝗲𝗿: github.com/SABiagini/GDI

• 𝗣𝗼𝘀𝘁-𝗶𝗺𝗽𝘂𝘁𝗮𝘁𝗶𝗼𝗻 𝘀𝘁𝗮𝘁𝘀: github.com/SABiagini/Po...

A useful resource for low-coverage genomic data! #bioinformatics #AcademicSky #GitHub #OpenSource #Genetics #imputation #popgen

In short, NIPS data are a goldmine for genomics but need tailored strategies. There is no one-size-fits-all filter.

Curious to learn more? 🔬 The full paper compares QUILT and GLIMPSE2, shows the impact of fetal fraction and coverage, the GDI filter development and validation, and more! ✨

When applied to 𝗽𝗼𝗹𝘆𝗴𝗲𝗻𝗶𝗰 𝘀𝗰𝗼𝗿𝗲𝘀 (PGS) for height, GDI was less effective. GDI-filtered data explained 14% of the variance, while the best-performing approach (PGSHapMap) explained 23.7% using a smaller set of common variants.

✅ 𝗔𝗳𝘁𝗲𝗿 𝗮𝗽𝗽𝗹𝘆𝗶𝗻𝗴 𝗚𝗗𝗜, 𝘁𝗵𝗲 𝗯𝗮𝘁𝗰𝗵 𝗲𝗳𝗳𝗲𝗰𝘁 𝗱𝗶𝘀𝗮𝗽𝗽𝗲𝗮𝗿𝘀! ✨

PCA/UMAP of >27,000 Belgian samples.

🇪🇺 89.17% European ancestry

🌍🌏 10.83% African/Asian ancestries

🇧🇪 A snapshot of Belgium’s current diversity!