Seth D. Temple
@sdtemple.bsky.social
6 followers 1 following 35 posts
PhD Statistician (github.com/sdtemple) UMich & UWashington Stats
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sdtemple.bsky.social
I am on a social media detox, but will post informative threads when I publish a scientific paper.
sdtemple.bsky.social
While we have improved (made a more conservative threshold for the African American analysis), there are still unmodeled complexities and likely fine-scale structure that violates our assumption. Buyer beware if signal is weak (barely GW significant)!
sdtemple.bsky.social
We filter to have small admixture proportions in our African American analysis. We think that admixture is more likely to deflate our "selection signal", not inflate it. This is a robustness check.
sdtemple.bsky.social
We think that low-mappability, problematic regions are more likely to deflate our "selection" signal, not inflate it. See Appendix B. This is a robustness check.
sdtemple.bsky.social
There is a large signal of unusual haplotype structure at a chr16 locus in all groups. I also see this when analyzing other consortia data. We describe it in more detail as a complicated region enriched with deletions. Gusev et al have also reported on it.
academic.oup.com/mbe/article/...
The Architecture of Long-Range Haplotypes Shared within and across Populations
Abstract. Homologous long segments along the genomes of close or remote relatives that are identical by descent (IBD) from a common ancestor provide clues
academic.oup.com
sdtemple.bsky.social
This is a new conceptual figure which explains how to make our proofs. I hope this idea is helpful to other population geneticists.
sdtemple.bsky.social
Our paper on the limiting distribution of IBD rates (Gaussian) is now published in TPB. Really an amazing experience to work with and learn from Prof Elizabeth Thompson!
doi.org/10.1016/j.tp...
Redirecting
doi.org
sdtemple.bsky.social
This project completes my development of our suite of methods called isweep, which can detect recent selection and case-control associations, can narrow in on the selection signal, and has fast local simulations to perform statistical inference.
sdtemple.bsky.social
You can also run a fast scan with randomized phenotypes to double check if selection is confounding.
sdtemple.bsky.social
Sadly, the test is prone to confounding due to very strong positive and recent selection (see LCT in European ancestry cohorts). You can automatically check for this as a part of the automated workflow.
sdtemple.bsky.social
Two of the six genome-wide significant signals are about current therapeutic targets, e.g., at the NBAS gene.
sdtemple.bsky.social
We ran the scalable scan for three ancestry cohorts (European, African, and Amish) in the Alzheimer's Disease Sequencing Project.
sdtemple.bsky.social
The null model is again motivated by the Temple and Thompson (2025) central limit theorems, which is now published in Theoretical Population Biology.
sdtemple.bsky.social
The test is a two-sample modification of the one-sample selection scan from my prior work (Temple and Browning, 2025): high IBD rates differences in cases versus controls could indicate a genetic association.
sdtemple.bsky.social
Presenting our new scan that uses IBD segments to detect genetic associations with cohorts stratified by a categorical variable (i.e., case-control studies).
www.biorxiv.org/content/10.1...
Multiple-testing corrections in case-control studies using identity-by-descent segments
Identity-by-descent (IBD) mapping provides complementary signals to genome-wide association studies (GWAS) when multiple causal haplotypes or variants are present, but not directly tested. However, failing to correct for multiple testing in case-control studies using IBD segments can lead to false discoveries. We propose the difference between case-case and control-control IBD rates as an IBD mapping statistic. For our hypothesis test, we use a computationally efficient approach from the stochastic processes literature to derive genome-wide significance levels that control the family-wise error rate (FWER). Whole genome simulations indicate that our method conservatively controls the FWER. Because positive selection can lead to false discoveries, we pair our IBD mapping approach with a selection scan so that one can contrast results for evidence of confounding due to recent sweeps or other mechanisms, like population structure, that increase IBD sharing. We developed automated and reproducible workflows to phase haplotypes, call local ancestry probabilities, and perform the IBD mapping scan, the former two tasks being important preprocessing steps for haplotype analyses. We applied our methods to search for Alzheimer's disease (AD) risk loci in the Alzheimer's Disease Sequencing Project (ADSP) genome data. We identified six genome-wide significant signals of AD risk among samples genetically similar to African and European reference populations and self-identified Amish samples. Variants in the six potential risk loci we detected have previously been associated with AD, dementia, and memory decline. Three genes at two potential risk loci have already been nominated as therapeutic targets. Overall, our scalable approach makes further use of large consortia resources, which are expensive to collect but provide insights into disease mechanisms. ### Competing Interest Statement T.A.T. is a current employee of Regeneron Genetics Center and a stockholder of Regeneron Pharmaceuticals. The other authors declare no competing interests. United States Department of Defense, https://ror.org/0447fe631, National Defense Science Engineering Graduate Fellowship Schmidt Sciences, LLC, Eric and Wendy Schmidt AI in Science Postdoctoral Fellowship National Human Genome Research Institute, https://ror.org/00baak391, HG005701 National Institutes of Health, https://ror.org/01cwqze88, U01AG058589, GM081062 National Institute on Aging, https://ror.org/049v75w11, 1R21AG089267
www.biorxiv.org
sdtemple.bsky.social
We discuss the use cases of local versus genome-wide IBD simulation. I'll say I have had a great time using msprime + tskibd for genome-wide simulations. We find it is accurate w.r.t. to our work. I highly recommend it.
github.com/bguo068/tskibd
GitHub - bguo068/tskibd: Calculate IBD segments from tree sequence using tskit C API
Calculate IBD segments from tree sequence using tskit C API - bguo068/tskibd
github.com
sdtemple.bsky.social
One fantastic suggestion from both peer reviewers was to validate the accuracy of IBD segment length distributions w.r.t. existing tools. These studies are now included as Figures S7-10.
sdtemple.bsky.social
I'm excited to present my work on rigorous and scalable multiple-testing corrections for complex haplotype scans in WGS at ASA STATGEN 2025!
t.co/rv205OBCs1
sdtemple.bsky.social
Correction: 3) should be approx. has the first-order Markov property. This is what I get for tweeting fast.
Reposted by Seth D. Temple
shaicarmi.bsky.social
A pair of manuscripts from Sharon Browning on applications of IBD segments for mapping disease-associated loci and detecting natural selection.

www.biorxiv.org/content/10.1...
www.biorxiv.org/content/10.1...
sdtemple.bsky.social
There are long tables of the genes/loci identified. I put all tables and figures at end of papers, so easy to print and staple those. Pay attention to the shared signals. That's a wrap. 🎁