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Luke O'Connor Profile
Luke O'Connor

@Luke0connor

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Statistical genetics and applied mathematics - Genetic architecture and methods development - Assistant Professor @HarvardDBMI

Cambridge, MA
Joined April 2016
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@yun_s_song
Yun S. Song
1 month
We are excited to share GPN-Star, a cost-effective, biologically grounded genomic language modeling framework that achieves state-of-the-art performance across a wide range of variant effect prediction tasks relevant to human genetics. https://t.co/FTm3byYp67 (1/n)
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@Luke0connor
Luke O'Connor
3 months
This project was great fun. Thanks to co-authors and especially to Heng, who co-supervised the project.
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@Luke0connor
Luke O'Connor
3 months
In the HPRC graph, we find millions of 'non-GRCh38' variants which are difficult to detect using existing approaches. Many localize to segdup regions that are often functional.
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@Luke0connor
Luke O'Connor
3 months
Remaining edges are 'variant edges'. Different choices of reference tree are possible - mathematically, this is a choice of basis
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@Luke0connor
Luke O'Connor
3 months
Our approach is to define a 'reference tree', which is a spanning tree of the pangenome graph; it includes all nodes (sequences) but only a subset of edges
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@Luke0connor
Luke O'Connor
3 months
A pangenome could improve variant discovery by cataloguing differences between non-reference sequences as well, but it is not obvious how to formalize this intuition
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@Luke0connor
Luke O'Connor
3 months
With a single reference genome, it is clear what a 'variant' is - a difference vs. the reference
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@Luke0connor
Luke O'Connor
3 months
New preprint on a surprising question - with a pangenome reference, *what is a genetic variant?* https://t.co/3CivztB04v With Pouria Salehi Nowbandani, Shenghan Zhang, Haoyang Hu, and Heng Li @lh3lh3
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biorxiv.org
Structural variation causes some human haplotypes to align poorly with the linear reference genome, leading to ‘reference bias’. A pangenome reference graph could ameliorate this bias by relating a...
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@dtang2000
David Tang
3 months
excited to share our new preprint looking at mosaic chromosomal alterations in blood whole genome sequencing data! i learned tons working on this project, and i hope our findings are of interest to those thinking about CH, somatic mosaicism, and genetics. https://t.co/HUgGESfBH8
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medrxiv.org
Clonal expansions of hematopoietic cells carrying mosaic chromosomal alterations (mCAs) are commonly detectable in elderly individuals. Here, we studied 43,617 autosomal mCAs that we ascertained in...
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@Luke0connor
Luke O'Connor
4 months
It's unusual to write a statgen paper whose main contribution is a definition, as opposed to a finding or a method - but I think we should pay more attention to definitions and their justification.
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@Luke0connor
Luke O'Connor
4 months
We estimate three of these measures across 36 traits using an existing method (FMR). Depending what measure you choose, values range 50-500 or 5k-100k.
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@Luke0connor
Luke O'Connor
4 months
We provide five mathematical properties which are definitional - any function satisfying these properties fits our definition
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@Luke0connor
Luke O'Connor
4 months
We propose a mathematical definition encompassing many specific measures, akin to the many measures of 'mean' (arithmetic, geometric, ...)
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@Luke0connor
Luke O'Connor
6 months
Excited to share that Ajay's paper is now out @NatureGenet : Transcriptome-wide analysis of differential expression in perturbation atlases https://t.co/1PaN98PD7M
@NadigAjay
Ajay Nadig
1 year
How do genetic perturbations change cells? How are these effects shaped by cell type and dosage? How do we best extract insight from modern massive perturbation atlases? Im pleased to share a new preprint where we develop a suite of statistical approaches to these Qs (link below)
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@josephmreplogle
Joseph Replogle
6 months
Congrats @NadigAjay on TRADE out now in @NatureGenet: https://t.co/eHwDZEIqNd These statistical metrics enable more meaningful comparisons in Perturb-seq atlases. Also, now find the HepG2 and Jurkat Perturb-seq datasets on GEO GSE264667!
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nature.com
Nature Genetics - Transcriptome-wide analysis of differential expression (TRADE) is a broadly applicable tool for characterizing patterns of differential expression across the genome.
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@Harvard
Harvard University
7 months
The university will not surrender its independence or relinquish its constitutional rights. Neither Harvard nor any other private university can allow itself to be taken over by the federal government.
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@seplyarskiy
Vladimir Seplyarskiy
10 months
Excited to share our preprint: Cohort-level analysis of human de novo mutations points to drivers of clonal expansion in spermatogonia! We developed methods to uncover drivers of clonal expansions in sperm (CES) using 55k disease trios & gnomAD SNV data. https://t.co/M5Ojbdn4Ya
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medrxiv.org
In renewing tissues, mutations conferring selective advantage may result in clonal expansions[1][1]–[3][2]. In contrast to somatic tissues, mutations driving clonal expansions in spermatogonia (CES)...
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@jkpritch
Jonathan Pritchard
11 months
Super excited to release this new preprint: Jeff and Hakhamanesh drill into key questions about GWAS and rare variant studies: What SNPs and genes do these discover and why? We introduce a concept called SPECIFICITY, which we show is a fundamental determinant of GWAS/RV studies
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@HujoelM
Margaux Hujoel
11 months
Excited to share our recent work: expansions and contractions of DNA repeats have produced many genetic polymorphisms. We studied repeat instability among >700,000 biobank participants using new computational approaches to analyze DNA sequencing data.
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biorxiv.org
Expansions and contractions of tandem DNA repeats are a source of genetic variation in human populations and in human tissues: some expanded repeats cause inherited disorders, and some are also...
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