Between 800,000 and 900,000 years ago, the population of human ancestors crashed, a 2023 Science study finds. The results suggest there were only ~1280 breeding individuals during the transition between the early and middle Pleistocene. https://t.co/vy25Wy1ryF

Extremely proud to see this published in @JExpMed. Kudos to Marjon Wouters and thank you @alexbolze @ItanLab @ERC_Research and @FWOVlaanderen. Have a look:

1/ 🧬Excited to share that our study entitled Dominant negative ADA2 mutations cause ADA2 deficiency in heterozygous carriers led by @IsabelleMeyts, has been published in @JExpMed : https://t.co/WAuAuNfiLF

Dogs are humanity's best friend—but how long has it been that way? 🐕 This Science study investigated ancient dog genomes, revealing a complicated genetic legacy that reflects a long, shared history with humans. Learn more on #InternationalDogDay: https://t.co/Bl2JcfNov0

LDAK-KVIK is our new tool for mixed-model association analysis (MMAA) of quantitative and binary traits. LDAK-KVIK has the power of BOLT-LMM, but the computational demands of REGENIE. See the tweets below for more information.

A MUST-READ Review on Penetrance of Human Monogenic Inborn Errors (of Immunity, or not): Incomplete penetrance in inborn errors of immunity: A skeleton in the closet—The sequel

Published today. Our review on Incomplete Penetrance. Four governing principles. Details here. 👇🏼@Columbia @KidsAtColumbia @ColumbiaGenDev https://t.co/wsUI8ZHCTt

Tracing the evolution of sequencing into the era of genomic medicine. #Sequencing #GenomicMedicine #Review @NatureRevGenet https://t.co/OnyhCu5pLf

.@alexisjbattle & co. from @AJHGNews' latest article developed GLEANR, a computational method to identify genetic pathways shared among complex traits, presenting it as a powerful tool for discovering both trait-specific and trait-shared pathways: https://t.co/rAy7GSXvtn #ASHG

PhD position opening in my lab! Grab your chance to dive into the genetics and pathophysiology of inborn errors of immunity and apply! ⁦@FWOVlaanderen⁩ ⁦@ERC_Research⁩ ⁦@Info4PI⁩ ⁦@KU_Leuven⁩ funded, in an international spirit.

Google’s research on a Personal Health Large Language Model (PH-LLM) is now published in @NatureMedicine Magazine!

A superb Review on a new syndromic IEI, due to GOF mutations in G protein-encoding GNAI2: MAGIS syndrome: Phenotypes, pathogenesis, and treatment

Latest from us. Universal antiviral made! How? Transient gene therapy. Which genes? Only 10 suffice, out of thousands of antiviral host genes. How did we choose? Got inspired by patients and gene promoters. Read in detail 👇🏼

Gene-Set Enrichment Analysis and visualization on the web using EnrichmentMap: RNASeq. #GSEA #WebTool #RNAseq @BioinfoAdv https://t.co/NGilNskfQi

Our paper is now out in final form at Nature Genetics! For those who missed the preprint, we used large-scale Perturb-seq targeting transcription factors to push primary fibroblasts into diverse transcriptional states, including those observed in cell atlas studies.

Nature research paper: Whole-genome sequencing of 490,640 UK Biobank participants https://t.co/Tdcx81Oa9f

Decoding nature’s grammar with DNA language models. #Genomics #LLMs #AI @PNASNews https://t.co/NjAieNZGtG

Parabricks, a genomics startup with the goal to GPU-accelerate NGS analysis, was acquired by @NVIDIA in 2019. The Parabricks team has recently published their body of work showing GPU-accelerated, universal analysis that supports a wide range of sequencing platforms - including

Can LLMs predict the results of CRISPR screens in silico, before the experiment is run? A team led by Aly Khan, AI/ML head at #CZBiohubCHI, has built a scalable LLM-based prediction framework. Read the 📃 just accepted to #BioNLP workshop at @ACLMeeting! https://t.co/ihg2e7IcVu

Our Japanese multi-omic immune cell atlas is out in @NatureGenet! We projected omics layers — from germline/somatic mutations to metagenomics — into single-cell space to uncover dynamic immune regulation. https://t.co/H5BRqlxi0M