Ruhollah (Roohy) Shemirani
roohy.bsky.social
Ruhollah (Roohy) Shemirani
@roohy.bsky.social
post-doc @SinaiGenomicHealth, USC alum, Population Genetics
Reposted by Ruhollah (Roohy) Shemirani
Cool paper, and -- as expected by how similar the titles are -- dovetails nicely with our work (led by Margaret Antonio, Clemens Weiß, Ziyue Gao, and Susanna Sawyer):

elifesciences.org/articles/79714
August 8, 2025 at 6:03 PM
Reposted by Ruhollah (Roohy) Shemirani
📢 Just posted: Our preprint introducing SPC — Spectral Components — is now live on medRxiv!

Led by Dr. Ruhollah Shemirani and years in the making, this method offers a robust, scalable way to adjust for recent population structure in genomic analyses.
🔗 www.medrxiv.org/content/10.1...

1/9
SPC: a SPectral Component approach to address recent population structure in genomic analysis
Population structure is a well-known confounder in statistical genetics, particularly in genome-wide association studies (GWAS), where it can lead to inflated test statistics and spurious associations...
www.medrxiv.org
June 17, 2025 at 4:26 PM
Reposted by Ruhollah (Roohy) Shemirani
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
May 25, 2025 at 2:03 AM
Reposted by Ruhollah (Roohy) Shemirani
Check it out - PhD student @maggiesteiner.bsky.social's nice thread and link to our new preprint on how sample design, in terms of how geographically narrow vs broad a sample is, impacts the discovery/SFS of deleterious variants.
Excited to share a new preprint with @jnovembre.bsky.social ! We use a combination of population genetic theory, simulation, and data analysis to ask: how does study design in genetic studies (including biobanks) impact the discovery of rare, deleterious variants?
Study design and the sampling of deleterious rare variants in biobank-scale datasets https://www.biorxiv.org/content/10.1101/2024.12.02.626424v1
December 4, 2024 at 6:02 PM
Reposted by Ruhollah (Roohy) Shemirani
🚨 New paper alert! 🚨 A new study led by Sinead Cullina (@sineadyc.bsky.social) @ #SinaiGenHealth dives deep into genetic association studies in diverse populations using admixture mapping (AM) & genome-wide association (GWAS).

www.medrxiv.org/content/10.1...

Here's what you need to know 🧵:
Systematic comparison of phenome-wide admixture mapping and genome-wide association in a diverse biobank
Biobank-scale association studies that include Hispanic/Latino(a) (HL) and African American (AA) populations remain underrepresented, limiting the discovery of disease associated genetic factors in th...
www.medrxiv.org
November 19, 2024 at 3:51 PM