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Lino Ferreira

@linoafferreira.bsky.social
247 followers 605 following 31 posts

Researcher in statistical genetics Postdoc in Stephan Sanders' lab @ Oxford lfe.pt

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Reposted by Lino Ferreira
Ipsita Agarwal @ipsitaagarwal.bsky.social · 20/05/2026
I am delighted to share new work with Simon Myers (www.biorxiv.org/content/10.6...), on how genetic variants that influence binding patterns of PRDM9 and slow down the repair of meiotic double-strand breaks impact mammalian spermatogenesis and fertility. 1/n
biorxiv.org
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Molly Przeworski @mollyprz.bsky.social · 15/05/2026
Happy to highlight new findings by Vanesa Getseva and Lin Poyraz about the sources of variation in germline mutation rates among humans: www.biorxiv.org/content/10.6... Joint work with Anastasia Stolyarova and @ipsitaagarwal.bsky.social. 1/n
biorxiv.org
A sibling study of variation in parental mutation rates
People are born with variable numbers of de novo germline mutations (DNMs), depending primarily on the ages of their parents. To explore additional causes, we developed an approach to call DNMs from nucleotide differences between siblings in genomic regions inherited identical by descent from both parents. Applying it to whole genome sequences from 28,985 sibling pairs of diverse genetic ancestries present in the UK Biobank and All of Us datasets, as well as 2,330 trios, we identified >800K autosomal DNMs and characterized mutation phenotypes in 27,645 sets of parents. We found subtle shifts in the mutation spectrum but no differences in total DNM rates among genetic ancestry groups, or between smokers and non-smokers. Testing for associations between parental mutation phenotypes and their burden of loss-of-function and deleterious missense variants in a set of 180 DNA repair and maintenance genes, we discovered that disruptions in REV1 and LIG1 increase germline mutation rates, and thus that rare mutator alleles segregate in population cohorts. ### Competing Interest Statement The authors have declared no competing interest. NIH, R35 GM083098
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Leo Speidel @leospeidel.bsky.social · 20/04/2026
New preprint led by Hrushikesh Loya, me, and Simon Myers where we introduce GhostBuster! www.biorxiv.org/content/10.6... The idea is to find all the different ways a target individual relates to reference groups in genealogies, to "bust the ghosts" in our ancestry.
biorxiv.org
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Andrew Gelman et al. @statmodeling.bsky.social · 10/02/2026
Some Open Problems in Probability that are Relevant to Applied Statistics (my talk this Wed noon at the Columbia statistics department student seminar) statmodeling.stat.columbia.edu/2026/02/10/m...
statmodeling.stat.columbia.edu
Some Open Problems in Probability that are Relevant to Applied Statistics (my talk this Wed noon at the Columbia statistics department student seminar) | Statistical Modeling, Causal Inference, and S...
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Lino Ferreira @linoafferreira.bsky.social · 09/02/2026
New paper on the problem of "missing regulation" (limited overlap between GWAS signals and eQTLs) from Shamil Sunyaev's lab. Led by Noah Connally.
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Reposted by Lino Ferreira
Joyce Wang @joyce-yiyi-wang.bsky.social · 26/01/2026
Our work on the generalizability of polygenic scores (PGS) from the @arbelharpak.bsky.social Lab is now officially out! We examine the accuracy of PGS predictions at the individual level. We make 3 observations that expose gaps in our understanding of PGS “portability.” rdcu.be/e0LAr (1/27)
rdcu.be
Three open questions in polygenic score portability
Nature Communications - Genetic predictors of health outcomes often drop in accuracy when applied to people dissimilar to participants of large genetic studies. Here, the authors investigate the...
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Lino Ferreira @linoafferreira.bsky.social · 26/01/2026
Insightful paper on the importance of phenotypic scale when testing for interactions involving genetic variants (specifically, GxE effects). From Iain Mathieson's and Andy Dahl's labs, and led by Manuela Costantino.
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Molly Przeworski @mollyprz.bsky.social · 14/01/2026
Registration for the 2026 NY Area Population Genetics meeting is now open, at events.simonsfoundation.org/e0mEoL?rt=8k.... Registration is free but required; if you are submitting an abstract, note that the deadline is *January 30th*.
events.simonsfoundation.org
Home - NY Population Genetics meeting
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Molly Przeworski @mollyprz.bsky.social · 22/12/2025
Happy to highlight an essay I wrote together with @marcdemanuel.bsky.social, @natanaels.bsky.social and Anastasia Stolyarova, trying to think through what sets the mutation rate of a cell type in an animal species: www.biorxiv.org/content/10.6... 1/n
biorxiv.org
What sets the mutation rate of a cell type in an animal species?
Germline mutation rates per generation are strikingly similar across animals, despite vast differences in life histories. Analogously, in at least one somatic cell type, mutation rates at the end of l...
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Reposted by Lino Ferreira
Jonathan Pritchard @jkpritch.bsky.social · 11/12/2025
GWAS has been an incredible discovery tool for human genetics: it regularly identifies *causal* links from 1000s of SNPs to any given trait. But mechanistic interpretation is usually difficult. Our latest work on causal models for this is out yesterday: www.nature.com/articles/s41... A short🧵:
nature.com
Causal modelling of gene effects from regulators to programs to traits - Nature
Approaches combining genetic association and Perturb-seq data that link genetic variants to functional programs to traits are described.
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Ana Ignatieva @anaignatieva.bsky.social · 03/10/2025
Delighted that our paper about the distribution of genomic spans of clades/edges in genealogies (ARGs), and using this for detecting inversions and other SVs (and other phenomena that cause local disruption of recombination) is out in MBE academic.oup.com/mbe/article/... (1/n)
academic.oup.com
The Length of Haplotype Blocks and Signals of Structural Variation in Reconstructed Genealogies
Abstract. Recent breakthroughs have enabled the accurate inference of large-scale genealogies. Through modelling the impact of recombination on the correla
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Reposted by Lino Ferreira
bioRxiv Bioinfo @biorxiv-bioinfo.bsky.social · 28/11/2025
SuSiE 2.0: improved methods and implementations for genetic fine-mapping and phenotype prediction www.biorxiv.org/content/10.1101/202…
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Yang Luo @y-luo.bsky.social · 28/11/2025
🚨 New preprint from the lab! We’re excited to share “Improving population-scale disease prediction through multi-omics integration” by Ng et al. www.medrxiv.org/content/10.1...
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Lino Ferreira @linoafferreira.bsky.social · 24/11/2025
...for interactions involving the HLA region in collaboration with @y-luo.bsky.social. Thanks for reading!
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Lino Ferreira @linoafferreira.bsky.social · 24/11/2025
...might allow for detecting many more of these effects. I'd like to thank Sile Hu for his help and Simon Myers for his supervision. 🙏 I'm also very grateful to @mollyprz.bsky.social for generous financial support in the final stages of the project. In ongoing work, we are testing...
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Lino Ferreira @linoafferreira.bsky.social · 24/11/2025
...are partly mediated through modulating the effects of other SNPs. Another takeaway is that we find more interactions for molecular phenotypes than for more complex and polygenic phenotypes (probably due to greater statistical power to detect them), and so novel proteomics datasets...
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Lino Ferreira @linoafferreira.bsky.social · 24/11/2025
...functional relationships between genes. Moreover, many phenotypes (more than half of those we analysed) show interactions, and in fact some well-known hits from standard GWASs (at FTO for obesity or TCF7L2 for diabetes, for example) have effects on disease-relevant phenotypes that...
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Lino Ferreira @linoafferreira.bsky.social · 24/11/2025
...the Wnt signalling pathway (itself important in diabetes aetiology) which points to the potential relevance of this interaction in the architecture of this disease. Our results show that, even though interactions explain very little phenotypic variance, they can be useful by pointing to...
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Lino Ferreira @linoafferreira.bsky.social · 24/11/2025
...to partition PGSs and test the same 144 hits for interactions with partitioned scores. We identify 12 interactions, including one between the strongest T2D-associated SNP found to date (at TCF7L2) and the KDM2A TF for HbA1c levels. KDM2A has been found to interact physically with TCF7L2 within...
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Lino Ferreira @linoafferreira.bsky.social · 24/11/2025
...and IL33 for eosinophil levels, which could reflect a functional interaction between these genes recently implicated in eosinophilic asthma. We then look for interactions that are more precise than SNP-by-PGS but broader than SNP-by-SNP: we use data on transcription factor binding motifs...
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Lino Ferreira @linoafferreira.bsky.social · 24/11/2025
...for SNP-by-SNP interactions but within a much smaller search space, and allows us to find 38 pairs (of which 32 are novel to our knowledge). Our results recover and extend a known network involving ABO, FUT2 and TREH for alkaline phosphatase. Another highlight is an interaction between ALOX15...
This plot displays graphically the results of a regression model of a phenotype (serum alkaline phosphatase levels) on five genetic variants at the PIGC, ABO, TREH, FUT6 and FUT2 genes. For each variant, both its main effect (minor allele count/dosage) and its square (to account for possible dominance/recessiveness) are included, as well as an interaction term with every other variant. Five genome-wide significant interactions between variants are detected, of which two are novel.
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Lino Ferreira @linoafferreira.bsky.social · 24/11/2025
...the effect of the PGS on the trait; or the effect of a SNP varies depending on polygenic background. Our signals include well-know disease risk variants at APOE, FTO and TCF7L2. We then take these 144 associations and look for pairwise interactions genome-wide. This is a classic search...
Scatter plot showing the effect size of an IL33 SNP on eosinophil count (y-axis) varying according to a polygenic score (PGS) for that phenotype (x-axis). The average effect of this SNP in five quintiles of the PGS is plotted, showing that its effect on the trait increases with this score.
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Lino Ferreira @linoafferreira.bsky.social · 24/11/2025
We develop a method to test for interactions between SNPs and polygenic scores (PGSs) and apply it to 97 quantitative phenotypes in the @ukbiobank.bsky.social, identifying 144 associations for 52 different traits. These can be interpreted in two equivalent ways: the genotype at a locus alters...
A matrix is shown in which the rows correspond to different phenotypes within the 'blood cell count' category in the UK Biobank, and the columns to different genetic variants (and associated genes) for which an interaction with a polygenic score was found. The cells of the matrix are coloured to indicate which phenotype–variant pairs show a significant interaction with the polygenic score for that phenotype.
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Lino Ferreira @linoafferreira.bsky.social · 24/11/2025
...a linear model of genotype > phenotype. Interactions can help with understanding biological mechanisms by identifying different parts of the genome whose statistical effects on a phenotype are interdependent – and which are therefore likely to also interact functionally within a pathway.
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Lino Ferreira @linoafferreira.bsky.social · 24/11/2025
GWASs have been hugely successful in finding genetic associations but understanding the function of associated loci remains a great challenge. We address this question from the angle of genetic interactions (epistasis): statistical interaction terms between genetic variants in...
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Lino Ferreira @linoafferreira.bsky.social · 24/11/2025
Excited to share a preprint of my PhD project looking at interactions between SNPs and polygenic scores in the UK Biobank! A thread... 🧵 www.medrxiv.org/content/10.1...
medrxiv.org
Interactions with polygenic background impact quantitative traits in the UK Biobank
Association studies have linked many genetic variants to a variety of phenotypes but under-standing the biological mechanisms underlying these signals remains a major challenge. Since genes operate wi...
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Genetics Society of America @genetics-gsa.bsky.social · 16/10/2025
New study in #GENETICS from @anaignatieva.bsky.social and @linoafferreira.bsky.social shows how ancestral recombination graphs can help detect "phantom" genetic interaction signals that arise due to genealogy and not because of epistasis. buff.ly/TQARoDp
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Ana Ignatieva @anaignatieva.bsky.social · 15/09/2025
Our paper about how ancestral recombination graphs can be used to detect "phantom" genetic interaction signals (that arise due to the genealogy, rather than "real" epistasis) is out in Genetics! Nice thread here by @linoafferreira.bsky.social academic.oup.com/genetics/adv...
academic.oup.com
Phantom epistasis through the lens of genealogies
Abstract. Phantom epistasis arises when, in the course of testing for gene-by-gene interactions, the omission of a causal variant with a purely additive ef
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Lino Ferreira @linoafferreira.bsky.social · 11/09/2025
Thank you!
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Lino Ferreira @linoafferreira.bsky.social · 10/09/2025
We hope this approach will enable others to search for (and perhaps find!) epistatic effects in cis, and through this to learn more about the genetic basis of complex phenotypes. Thanks for reading! (end 🧵)
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Lino Ferreira @linoafferreira.bsky.social · 10/09/2025
In contrast, our method only requires publicly available WGS data for samples of similar ancestral background (we use 1KGP) whose information is efficiently encoded in the form of an ARG. This makes it applicable in settings where WGS data is not available (including for non-human species).
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Lino Ferreira @linoafferreira.bsky.social · 10/09/2025
it was very difficult to rigorously test for such effects. WGS data or dense imputation panels allowed for checking whether any neighbouring variant accounted for a putative interaction but only if this data was available for the same sample in which the epistasis testing was done.
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Lino Ferreira @linoafferreira.bsky.social · 10/09/2025
evidence *against* the existence of a problematic variant. This allows us to quantify the observed evidence either for or against a potential interaction being real. Epistasis between variants in cis could be common (or at least less rare than that between variants farther apart) but until now...
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Lino Ferreira @linoafferreira.bsky.social · 10/09/2025
the genealogy (in the form of an ARG). We first derive the conditions that a problematic variant would have to satisfy to yield a significant interaction in the first place. We then look for clades within the ARG that might harbour such a variant or, conversely, for clades that provide...
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Lino Ferreira @linoafferreira.bsky.social · 10/09/2025
But (by definition) we don't observe the possible hidden variants that might be driving the putative interaction. So how can we test for the existence of a variant that we don't see? In the paper, we derive tests for whether phantom epistasis is likely to arise between two variants due to...
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Lino Ferreira @linoafferreira.bsky.social · 10/09/2025
effect of a third, unobserved variant. This has been called "phantom epistasis" and, far from being a theoretical issue, has led to the retraction of a high-profile paper. www.nature.com/articles/s41... Given a potential interaction, we would like to know if it might be a "phantom" effect...
nature.com
Phantom epistasis between unlinked loci - Nature
Nature - Phantom epistasis between unlinked loci
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Lino Ferreira @linoafferreira.bsky.social · 10/09/2025
Genetic interactions are hard to find, and very few have been identified for humans. One challenge to their detection is that we can't reliably test for interactions between neighbouring variants: if we see that two variants in LD interact, their interaction may actually be tagging the *additive*...
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Lino Ferreira @linoafferreira.bsky.social · 10/09/2025
Epistasis happens when two genetic variants have a combined effect on a phenotype that is different (greater or lesser) than the sum of their effects when present in isolation: the whole is more (or less) than the sum of its parts. See this great thread for an overview: bsky.app/profile/sash...
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Lino Ferreira @linoafferreira.bsky.social · 10/09/2025
Delighted to see this paper with @anaignatieva.bsky.social now published in Genetics! academic.oup.com/genetics/adv... We tackle a thorny issue arising in statistical tests for genetic interactions (epistasis) using ancestral recombination graphs (ARGs)... 🧵
academic.oup.com
Phantom epistasis through the lens of genealogies
Abstract. Phantom epistasis arises when, in the course of testing for gene-by-gene interactions, the omission of a causal variant with a purely additive ef
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Lino Ferreira @linoafferreira.bsky.social · 09/12/2024
Excited to have this out there! Comments are very welcome.
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Marc de Manuel @marcdemanuel.bsky.social · 25/11/2024
📣 Two ERC-funded positions are available in the lab! If you are interested in exploring the mechanisms underlying mutation, we’d love to hear from you. PhD: shorturl.at/Oc04N Postdoc: shorturl.at/1ShHB RPs and shares would be greatly appreciated! 🧪🧬🖥️ #ScienceJobs #PostdocJobs
Banner for job offers
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Anjali Hinch @anjalihinch.bsky.social · 11/06/2024
The Hinch lab is looking for an enthusiastic statistician, mathematician or physicist to join us as a post doc! If you'd like to use big data to decode the inner workings of our cells, apply now: germlinegenomics.web.ox.ac.uk Please re-post and thanks! #PhDjobs #Postdocs #STEM #meiosis #genomics
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Graham Coop @gcbias.bsky.social · 12/04/2024
Congratulations to Carl Veller on the publication of his article on confounding in population and family GWAS journals.plos.org/plosbiology/...
journals.plos.org
Interpreting population- and family-based genome-wide association studies in the presence of confounding
GWASs aim to estimate direct effects of genotype on an individual’s phenotype, but this can be subject to genetic and environmental confounds and
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Lino Ferreira @linoafferreira.bsky.social · 23/02/2024
Beautiful figures and slides!
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Lino Ferreira @linoafferreira.bsky.social · 18/10/2023
a generous stipend (+ a 50k research grant!) and choose their own supervisor from among a long list of amazing researchers, and all this in Oxford. If you know of anyone interested in doing a PhD in genetics, encourage them to apply!
medsci.ox.ac.uk
Genomic Medicine and Statistics
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Lino Ferreira @linoafferreira.bsky.social · 18/10/2023
My PhD programme, the 'DPhil in Genomic Medicine and Statistics' at the Wellcome Centre for Human Genetics in Oxford, is accepting applications for next year! I'm coming to the end of my studies after four years and feel so fortunate to have been part of it. Students get...
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Lino Ferreira @linoafferreira.bsky.social · 18/10/2023
First post on this celestial platform to mark a happy occasion: I've submitted my PhD thesis! I've celebrated and rested well and am now back to working on research after all the writing... Excited for what's to come!
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