Linda Kachuri
@lindakachuri.bsky.social
📤 665
📥 505
📝 23
Assistant Professor @ Stanford Genetic & cancer epidemiology Views my own 🇺🇦🇽🇰🇨🇦
reposted by
Linda Kachuri
Wajahat Ali
20 days ago
This security guard died protecting children at the Islamic Center of San Diego. If you can help support his family, it would go a long way.
www.launchgood.com/v4/campaign/...
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Support family of Amin Abdullah, Islamic Center of San Diego Martyr | LaunchGood | LaunchGood
Amin was the security guard at the Islamic Center of San Diego. Police say his actions kept Monday's attack from being far worse. Remember his legacy with us!
https://www.launchgood.com/v4/campaign/support_family_of_amin_abdullah_islamic_society_of_san_diego_martyr
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Linda Kachuri
The American Journal of Human Genetics
3 months ago
🧬New today! 📄Inclusion bias affects common variant discovery and replication in a health-system linked biobank 🧑🤝🧑
@loldeloo.bsky.social
@apimplaskar.bsky.social
@bpasaniuc.bsky.social
& colleagues
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Inclusion bias affects common variant discovery and replication in a health-system linked biobank
We quantify inclusion bias in a health-system-linked biobank using classification models to distinguish enrolled individuals from the background population. To evaluate its impact on genetic findings ...
https://www.cell.com/ajhg/fulltext/S0002-9297(26)00075-3
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An inspiring message of hope and resilience in these dark times. I am so proud to call Karl my friend. He is a true leader and his work and outlook make me feel optimistic about the future of cancer research.
@karlsmithbyrne.bsky.social
@oxpop.bsky.social
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2 months ago
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Linda Kachuri
George Davey Smith
3 months ago
Failure to understand that the fundamental principle of Mendelian randomization (MR) is of gene-environment equivalence contributes to the flood of nonsense MR papers that are appearing; Shah Ebrahim, Gib Hemani and I explain why in this short commentary.
journals.plos.org/plosmedicine...
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Gene-environment equivalence: The fundamental principle of Mendelian randomization
In this Perspective, George Davey Smith and colleagues outline how and why gene-environment equivalence, the fundamental principle of Mendelian Randomization (MR), must be properly applied and critica...
https://journals.plos.org/plosmedicine/article?id=10.1371/journal.pmed.1005013
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I’m honored and excited to join the Board of Directors! IGES is home to such a vibrant and welcoming scientific community, I look forward to helping it continue to thrive! 💟🧬 Join us for IGES 2026 in beautiful Estérel, QC 🍁 Abstract submission is open until May 30
www.geneticepi.org/2026-annual-...
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3 months ago
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Linda Kachuri
Daniela Robles-Espinoza
4 months ago
We are very happy to see our study finally appear online
@nature.com
! This has been work of nearly 10 years in collaboration with the National Institute of Genome Medicine 🇲🇽, the National Cancer Institute 🇲🇽, the
@sangerinstitute.bsky.social
and others ⬇️
www.nature.com/articles/s41...
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Ancestry and somatic profile indicate acral melanoma origin and prognosis - Nature
Analysis of the somatic and transcriptomic profile of 123 acral melanoma samples from Mexican patients helps understand tumour origins and prognosis, and highlights the importance of including samples...
https://www.nature.com/articles/s41586-025-09967-z
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reposted by
Linda Kachuri
UK Biobank
4 months ago
✅ The UK Government has today granted access to half a million UK Biobank participants' coded GP data for health research. This change will dramatically increase the power of UK Biobank's dataset to advance the diagnosis, treatment and management of conditions handled by GPs.
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Linda Kachuri
Princeton University Press
4 months ago
In What We Inherit, Sam Trejo and
@daphmarts.bsky.social
debate the use of genomic tools and their societal impact. Now available (31 March UK pub). Learn more about this fascinating book:
press.princeton.edu/books/hardco...
#Biology
#ReadUP
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reposted by
Linda Kachuri
Open Targets
4 months ago
The Perturbation Catalogue is live! 🧬🔎🖥️ It aims to bring genetic perturbation data into one curated, harmonised, and discoverable platform. Take a look!
www.ebi.ac.uk/perturbation...
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reposted by
Linda Kachuri
Nik Baya
5 months ago
Why do some individuals defy their polygenic score? In the largest study of its kind (402k UKB individuals; 7 continuous traits + 3 diseases), we asked: If your phenotype deviates from common-variant polygenic score prediction, what's driving that difference?
www.medrxiv.org/content/10.6...
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reposted by
Linda Kachuri
Eric Topol
6 months ago
How do the metabolic waste products get cleared from our brain? And how does this process intersect with the brain's immune system? An exceptional review by
@jonykipnis.bsky.social
and colleagues
cell.com/neuron/fullt...
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Resolving the mysteries of brain clearance and immune surveillance
This review by Kipnis et al. explores recent advances in brain fluid dynamics, emphasizing CSF flow’s role in waste clearance, the glymphatic and meningeal lymphatic systems, and neuroimmune interacti...
https://cell.com/neuron/fulltext/S0896-6273(25)00843-8?_returnURL=https%3A%2F%2Flinkinghub.elsevier.com%2Fretrieve%2Fpii%2FS0896627325008438%3Fshowall%3Dtrue
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Excited to welcome
@nmancuso.bsky.social
! Join us tomorrow to learn about cutting edge methods for investigating regulatory genetic effects in diverse cell types and populations! 🧬🤩
@dbdsstanford.bsky.social
@stanfordeph.bsky.social
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7 months ago
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reposted by
Linda Kachuri
Jeff Spence
7 months ago
How do GWAS and rare variant burden tests rank gene signals? In new work
@nature.com
with
@hakha.bsky.social
,
@jkpritch.bsky.social
, and our wonderful coauthors we find that the key factors are what we call Specificity, Length, and Luck! 🧬🧪🧵
www.nature.com/articles/s41...
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Specificity, length and luck drive gene rankings in association studies - Nature
Genetic association tests prioritize candidate genes based on different criteria.
https://www.nature.com/articles/s41586-025-09703-7
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Linda Kachuri
Dr Gareth Hawkes
7 months ago
Genomic superstar
@chundru.bsky.social
taking on fake-news genotypes in >900k individuals. He shows allele-level filtering is rarely suffifient, and makes the brave choice to properly tackle chrX! We’ll be providing our filtered AoU WGS plink pgens for all registered users: watch this space
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reposted by
Linda Kachuri
Arjun Bhattacharya
8 months ago
A few programming notes for
#ashg25
from trainees in my group
@mdanderson.bsky.social
+ a thread of me being a proud PI. Please drop by these sessions and talk to
@taylorhead.bsky.social
,
@seantbres.bsky.social
,
@ytchang11.bsky.social
, and me in Boston
@geneticssociety.bsky.social
next week!
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Linda Kachuri
Science Magazine
9 months ago
Samples of DNA collected from thousands of Ukrainians are part of a study probing the genetics of type 1 diabetes.
https://scim.ag/4nabr6B
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Amid war, a Ukrainian genomics research program blooms
Inaugural project for new center searches for genes involved in diabetes
https://www.science.org/content/article/amid-war-ukrainian-genomics-research-program-blooms?utm_campaign=Science%20Magazine&utm_medium=ownedSocial&utm_source=bluesky
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Can anyone recommend a good immigration lawyer?
9 months ago
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Linda Kachuri
Andrea Ganna
10 months ago
Happy to see this online! Having an extra sex chromosome really challenge the binary definition of sex based on XX and XY. So it is not only a medical, but also an important societal question.
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reposted by
Linda Kachuri
Vijay G. Sankaran
10 months ago
Grateful for this terrific commentary by
@tomonroe.bsky.social
in
@jclinical-invest.bsky.social
on our paper that is out in final print format today:
www.jci.org/articles/vie...
Please check it out:
www.jci.org/articles/vie...
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reposted by
Linda Kachuri
Michael Epstein
12 months ago
Our new AJHG paper is online. We develop a new TWAS tool that uses local-ancestry information to improve power of gene mapping in admixed samples. Lead author Taylor Head (now at MD Anderson) did a phenomenal job spearheading this work!
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reposted by
Linda Kachuri
Sasha Gusev
10 months ago
A final point about trust. Herasight has apparently partnered with Heliospect Genomics, founded by self-described eugenicist Jonathan Anomaly (a member of both companies). Anomaly and Heliospect were profiled last year by Hope Not Hate:
investigations.hopenothate.org.uk/superbaby-fa...
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reposted by
Linda Kachuri
Andrea Ganna
about 1 year ago
We have 2-3 group leader positions opening
@fimm-uh.bsky.social
!! We are looking for outstanding candidates in human genetics and precision medicine. This time we have a focus on population health data science. E.g. AI for EHR/health data Generous starting package 💰
shorturl.at/FAk6n
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FIMM-EMBL Group Leaders in Molecular Medicine
FIMM-EMBL Group Leaders in Molecular Medicine
https://jobs.helsinki.fi/job/Helsinki-FIMM-EMBL-Group-Leaders-in-Molecular-Medicine/821539302/
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reposted by
Linda Kachuri
Nicholas Mancuso
11 months ago
Super excited to see this out. What started as some math in a grant in 2020, to a student deciding to take this on in 2022, to published in 2025. These things can take time and patience is key!
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IDH mutations are some of the most informative prognostic markers for
#glioma
. Our small, proof-of-concept study shows that
#multimodal
classifiers that include
#polygenic
risk scores can improve pre-operative molecular subtyping:
www.nature.com/articles/s41...
🧠🧬
@stanford-cancer.bsky.social
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Integration of MRI radiomics and germline genetics to predict the IDH mutation status of gliomas - npj Precision Oncology
npj Precision Oncology - Integration of MRI radiomics and germline genetics to predict the IDH mutation status of gliomas
https://www.nature.com/articles/s41698-025-00980-z
12 months ago
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Linda Kachuri
Nature Reviews Genetics
12 months ago
New online! Making sense of the polygenicity of complex traits
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Making sense of the polygenicity of complex traits
Nature Reviews Genetics, Published online: 16 June 2025; doi:10.1038/s41576-025-00866-7Hakhamanesh Mostafavi recalls a landmark paper by Boyle et al. on the omnigenic model, which proposed that complex traits are influenced by thousands of genes across the genome, including many that are only indirectly related to a trait through regulatory networks.
https://www.nature.com/articles/s41576-025-00866-7?utm_source=dlvr.it&utm_medium=bluesky
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reposted by
Linda Kachuri
Arslan Zaidi
about 1 year ago
Our paper on the theoretical properties of SNP heritability in admixed populations is out in Genetics:
academic.oup.com/genetics/adv...
with
@jinguohuang.bsky.social
,
@nicole-kleman.bsky.social
, Saonli Basu, and Mark Shriver
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reposted by
Linda Kachuri
Nicholas Mancuso
about 1 year ago
It's that time of the year again: ASHG Abstracts! ASHG has always provided an excellent avenue to present novel methods in StatGen and GenEpi, get early feedback, and meet your colleagues! Deadline is June 9th, so still plenty of time :D Link below 👇
www.ashg.org/meetings/202...
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Abstracts
Abstract submission for ASHG 2025. We encourage you to submit your latest research on human genetics and genomics for programming at the ASHG 2025 Annual Meeting.
https://urldefense.com/v3/__https://www.ashg.org/meetings/2025meeting/present/abstracts/__;!!LIr3w8kk_Xxm!vqiK2AHcYrFyV59D1YdSw58fgDlKvi5Xee_3VvpEWvbVyfGreonE3_oZ3WAyU1EszjxjJ6eHVkQiQv2kOzb145_2x_It$
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reposted by
Linda Kachuri
Haky Im
about 1 year ago
Check out our scPrediXcan paper
www.cell.com/cell-genomic...
Led by the talented @Charles_Zhou12 and supervised by @MengjieChen6 and me, with thanks to many contributors. scPrediXcan integrates deep learning and single cell expression data into a powerful cell type specific TWAS framework.
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scPrediXcan integrates deep learning methods and single-cell data into a cell-type-specific transcriptome-wide association study framework
Zhou et al. introduce scPrediXcan, a novel transcriptome-wide association study framework that integrates the deep learning-based model ctPred for cell-type-specific expression prediction. Applied to ...
https://www.cell.com/cell-genomics/fulltext/S2666-979X(25)00131-4
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reposted by
Linda Kachuri
Mykhaylo M. Malakhov
about 1 year ago
I'm excited to share our latest work, now out in
#PLOSGenetics
! If you feel limited by linear models in TWAS or PWAS but don't think you can switch to nonlinear methods due to a lack of individual-level phenotype data, this paper is for you. 🔗
journals.plos.org/plosgenetics...
Thread below 👇 (1/6)
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reposted by
Linda Kachuri
Dr Kat, Epidemiologist
about 1 year ago
Hating on “Big Pharma”? Cool, it’s a $1.6 trillion regulated industry. But hang on…the $6.3 trillion wellness industry sells you mushroom tea, dewormers, crash diets, and alkaline water—no regulations, no oversight. But hey, it’s ‘natural,’ right?
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reposted by
Linda Kachuri
Aoxing Liu
about 1 year ago
3/n Genetic correlation is straightforward but remember HLA - largely impacting T1D & other AIDs - is excluded by LDSC. If genetic correlation is a genome-wide non-HLA measurement, how can we get HLA back into the game? We built a within-sample HLA PGS with weighted ridge classifiers in FinnGen.
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reposted by
Linda Kachuri
Andrea Ganna
about 1 year ago
🚨 New paper 🚨 Do known genetic factors for obesity and type 2 diabetes affect weight loss from GLP1-RA (Ozempic) or bariatric surgery? 🔍 10,960 people, 9 biobanks, 6 countries 🧬 Minimal genetic impact on GLP1-RA response 📉 Modest effect after surgery
www.nature.com/articles/s41...
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Association between plausible genetic factors and weight loss from GLP1-RA and bariatric surgery - Nature Medicine
The authors found, after analyzing 10,960 individuals from 9 multiancestry biobanks across 6 countries, that genetic factors previously associated with BMI have limited impact on GLP-1 receptor agonis...
https://www.nature.com/articles/s41591-025-03645-3
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reposted by
Linda Kachuri
Data Bear 🏳️🌈
about 1 year ago
I started a newsletter. My first post is going to be a deeper dive into insider trading on Wednesday. I’ll be writing about tech, San Francisco, politics, and AI. With kindness. I’d be grateful for any boosts as I’m excited and nervous for this.
data-and-politics.ghost.io
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Data and Politics
Data + Politics. San Francisco, Tech, Politics. With Kindness.
https://data-and-politics.ghost.io/
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reposted by
Linda Kachuri
Chris Buckley
about 1 year ago
Accurately describes the phenomenon of Bureaucratic Capture, where a bureaucracy is set up to serve an organization, but everyone ends up serving the bureaucracy instead (not confined to universities, of course)
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Linda Kachuri
Maike Morrison
about 1 year ago
1/ Hey y'all, I'm excited to share my latest paper, which is out now in PNAS! We introduce FAVA, a statistical framework to measure compositional variability across microbiome samples. If you want to measure variability across a stacked bar plot, FAVA is for you! Paper:
doi.org/10.1073/pnas...
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Linda Kachuri
Gurdeep Pandher of the Yukon
about 1 year ago
Wishing a joyous St. Patrick's Day to everyone celebrating ☘️☘️☘️
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Linda Kachuri
Randall Munroe
over 1 year ago
RNA
xkcd.com/3056
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Linda Kachuri
Shai Carmi
over 1 year ago
Given several new followers here, I'm posting the link to our Slack group "genetic genealogy science". We post and discuss manuscripts on phasing/imputation, IBD, recombination, demographic inference, ancient DNA, ancestry/admixture, etc. All are welcome.
join.slack.com/t/geneticgen...
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Slack
https://join.slack.com/t/geneticgeneal-6uf9073/shared_invite/zt-1vpfq7bt3-hXPj6WTHIZzTUU_w29y~hg
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Linda Kachuri
The Polygenic Score Catalog
over 1 year ago
Also out today is this multi-ancestry PGS for PSA! 🔗:
www.pgscatalog.org/publication/...
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📢 Thrilled to see this out, an atlas of e/sQTL across multiple tissues and diverse ancestries in 14,324 TOPMed participants:
www.medrxiv.org/content/10.1...
Grateful to the
#TOPMed
#Omics
WG for giving me an opportunity to learn and contribute to this important work 🧬
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Cross-cohort analysis of expression and splicing quantitative trait loci in TOPMed
Most genetic variants associated with complex traits and diseases occur in non-coding genomic regions and are hypothesized to regulate gene expression. To understand the genetics underlying gene expre...
https://www.medrxiv.org/content/10.1101/2025.02.19.25322561v1
over 1 year ago
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reposted by
Linda Kachuri
Marios Georgakis
over 1 year ago
5⃣pQTLs for circulating proteome in children & adolescents In a population of 2,147 children & adolescents, 733 genetic variants were identified that influence levels of 433 proteins. Great resource for GWAS follow-up analyses — available pQTL data come from adults 🔗
www.nature.com/articles/s41...
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It was awesome to see the range of molecular & genetic epidemiology research being done in our department! Thank you
@martinafu.bsky.social
@danielpanyard.bsky.social
and Javier Perez Garcia for making our Flash Talks a success 🤩
over 1 year ago
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reposted by
Linda Kachuri
Stanford Medicine
over 1 year ago
Stanford Medicine researchers sifted through thousands of single nucleotide mutations in DNA to identify fewer than 400 that are functionally associated with inherited cancer risk.
med.stanford.edu/news/all-new...
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Researchers identify DNA changes, biological pathways associated with inherited cancer risk
Stanford Medicine researchers sifted through thousands of single nucleotide mutations in DNA to identify fewer than 400 that are functionally associated with inherited cancer risk.
https://med.stanford.edu/news/all-news/2025/02/dna-cancer-risk.html
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📣 Happy to share our latest paper - an exciting step forward for PSA genetics with a much larger and more diverse GWAS and a more predictive PGS ⚡️
@johnwitte.bsky.social
@stanford-cancer.bsky.social
@stanfordmedicine.bsky.social
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over 1 year ago
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reposted by
Linda Kachuri
Pooja Middha
over 1 year ago
Excited to share our latest work exploring the role of germline genetics in the development of multiple primary cancers
@lindakachuri.bsky.social
@jovia-n.bsky.social
@johnwitte.bsky.social
add a skeleton here at some point
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reposted by
Linda Kachuri
Shoa Clarke
over 1 year ago
Peter Visscher is a luminary in human genetics, but in this case, he is completely wrong. Here's why 🧵
www.nature.com/articles/s41...
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Heritable polygenic editing: the next frontier in genomic medicine? - Nature
We discuss the potential consequences and ethical concerns of polygenic genome editing of human embryos to alter specific variants associated with polygenic diseases, highlighting the possibility of r...
https://www.nature.com/articles/s41586-024-08300-4
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reposted by
Linda Kachuri
The American Journal of Human Genetics
over 1 year ago
📣Online now! 📄Characterizing substructure via mixture modeling in large-scale genetic summary statistics 🧑🤝🧑
@audreyhendricks.com
& colleagues
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Characterizing substructure via mixture modeling in large-scale genetic summary statistics
We present Summix2, an open-source software suite of methods to estimate, harmonize, and leverage substructure in genetic summary data, including finer-scale, local, and genetic predisposition to cond...
https://www.cell.com/ajhg/fulltext/S0002-9297(24)00449-X#sec-5
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reposted by
Linda Kachuri
Yoav Gilad
over 1 year ago
My book, An Intuitive Primer on Effective Functional Genomics Study Design, is published! I’d really appreciate it if you could help spread the word, and I’d love to hear your thoughts and feedback. I hope people will find it useful. It’s available on Amazon:
tinyurl.com/mx2hewen
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Linda Kachuri
Eimear Kenny
over 1 year ago
Truveta has built a database of 120M de-identified EHRs for digital phenotyping—and now they're teaming up with Regeneron and Illumina to sequence 10M patients across 30 US health systems. 🧬 Major move for precision medicine!
www.geekwire.com/2025/seattle...
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Seattle’s newest unicorn: Truveta lands $320M to fuel creation of massive new genome project
The Truveta team at its Bellevue, Wash., headquarters last year. (Truveta Photo) Seattle-area health data company Truveta announced $320 million in
https://www.geekwire.com/2025/seattles-newest-unicorn-truveta-lands-320m-to-fuel-creation-of-massive-new-genome-project/
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