🐭 Genetically diverse mouse models better reflect population-level variation.
Explore how Collaborative Cross (CC) & Diversity Outbred (DO) mice are used to study #ComplexTraits in this free online resource from @jacksonlab.bsky.social: education.learning.jax.org/diversity-ou...
Quote from Gosia Trynka, Wellcome Sanger Institute and Biology at Scale committee member: "Linking variants to function at scale requires new tools and new ways of working together. Biology at Scale is designed to connect the communities needed to interpret complex traits. Abstract deadline: 20 April 2026
Share insights on using multimodal biological frameworks at #BiologyAtScale26 🧬
Contribute towards multidisciplinary knowledge exchange, and bridge gaps across genetics, cell biology, and human health.
📅 29 June -1 July 2026
Submit an abstract by 20 April ➡️ bit.ly/4mYud02
#ComplexTraits 🧪
What key advancements in AI or variant interpretation & ethics should define the #ASHG26 stage? Share your ideas through a Featured Symposium and Interactive Workshop proposal! Your expertise can shape the conversation: https://www.ashg.org/annual-meeting-2026/ #AI #Complextraits #multiomic #ASHG
Announcement for the Wellcome Connecting Science, hybrid conference 'Biology at Scale: From Variants to Cellular Programs and Functions' Conference dates: 29 June–1 July 2026 Location: Hinxton Hall Conference Centre, UK, and online.
Join us for a new conference exploring #genomics for linking polygenic signals to mechanistic insights! #BiologyAtScale26
Participate in multidisciplinary discussions to bridge gaps between genetics, cell biology, and human health.
📅 29 June -1 July 2026
Info: bit.ly/4mYud02
#ComplexTraits 🧪
Heritability and target size underlie differences between trait architectures: examples for three traits. Top: Height (blue) and platelet crit (red) have the same heritability per site h2/L, but height has a much higher mutational target size L. This results in many more hits for height (1533) than for platelet crit (648) (2 left panels). However, the marginal distributions of effect sizes, MAFs, and z-scores of hits are nearly identical for the two traits (3 right panels). Middle: Height (blue) and FEV1 (gold) differ in h2/L, but have similar L. Consequently, the joint distribution of z-scores and MAFs of their hits are markedly different (2 left panels), as are the marginal distributions of hit effect sizes, MAFs and z-scores (right). Bottom: After scaling by their respective , and imposing the more stringent scaled significance threshold (corresponding to FEV1) for both traits, the joint distribution of z-scores and MAFs of their hits (2 left panels) and the corresponding marginal distributions (3 right panels) are highly similar.
Genetic architectures of #ComplexTraits vary widely. @yuvalsim.bsky.social @jkpritch.bsky.social @gs2747.bsky.social &co show these diffs arise from mutational target size & heritability per site; when controlled for, all tested traits have similar architectures @plosbiology.org 🧪 plos.io/47mZXqT
Heritability and target size underlie differences between trait architectures: examples for three traits. Top: Height (blue) and platelet crit (red) have the same heritability per site h2/L, but height has a much higher mutational target size L. This results in many more hits for height (1533) than for platelet crit (648) (2 left panels). However, the marginal distributions of effect sizes, MAFs, and z-scores of hits are nearly identical for the two traits (3 right panels). Middle: Height (blue) and FEV1 (gold) differ in h2/L, but have similar L. Consequently, the joint distribution of z-scores and MAFs of their hits are markedly different (2 left panels), as are the marginal distributions of hit effect sizes, MAFs and z-scores (right). Bottom: After scaling by their respective , and imposing the more stringent scaled significance threshold (corresponding to FEV1) for both traits, the joint distribution of z-scores and MAFs of their hits (2 left panels) and the corresponding marginal distributions (3 right panels) are highly similar.
Genetic architectures of #ComplexTraits vary widely. @yuvalsim.bsky.social @jkpritch.bsky.social @gs2747.bsky.social &co show these diffs arise from mutational target size & heritability per site; when controlled for, all tested traits have similar architectures @plosbiology.org 🧪 plos.io/47mZXqT
Heritability and target size underlie differences between trait architectures: examples for three traits. Top: Height (blue) and platelet crit (red) have the same heritability per site h2/L, but height has a much higher mutational target size L. This results in many more hits for height (1533) than for platelet crit (648) (2 left panels). However, the marginal distributions of effect sizes, MAFs, and z-scores of hits are nearly identical for the two traits (3 right panels). Middle: Height (blue) and FEV1 (gold) differ in h2/L, but have similar L. Consequently, the joint distribution of z-scores and MAFs of their hits are markedly different (2 left panels), as are the marginal distributions of hit effect sizes, MAFs and z-scores (right). Bottom: After scaling by their respective , and imposing the more stringent scaled significance threshold (corresponding to FEV1) for both traits, the joint distribution of z-scores and MAFs of their hits (2 left panels) and the corresponding marginal distributions (3 right panels) are highly similar.
Genetic architectures of #ComplexTraits vary widely. @yuvalsim.bsky.social @jkpritch.bsky.social @gs2747.bsky.social &co show these diffs arise from mutational target size & heritability per site; when controlled for, all tested traits have similar architectures @plosbiology.org 🧪 plos.io/47mZXqT
Dr Emma Meaburn explains what preimplantation genetic testing for complex traits (PGT-P) is, what polygenic scores are and what information they can/can’t provide us Read in BioNews: www.progress.org.uk/polygenic-sc...
#PGT-P #DNA #ComplexTraits #Genetics #GeneticDisease #Health #PolygenicScores
Giving another shot to this one, just to drive Mr. Musk pissed. Interested in #bioinformatics, #evolution, #complextraits
@uk_biobank #canalization #polygenicrisk #PGSxE #complextraits #commondiseases
