Author

Jessika Nordin

Uppsala UniversityORCID 0000-0002-8414-2190Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:human· 2 Approach:statistical model· 2 Assay:whole-genome sequencing· 2 Assay:ATAC-seq· 1 Assay:bulk RNA-seq· 1 Approach:experimental assay· 1 Research Focus:genome assembly· 1 Research Focus:GWAS / association mapping· 1

Frequent Co-Authors

Jennifer R. S. MeadowsiD· 3 shared Kerstin Lindblad‐TohiD· 3 shared Chao WangiD· 2 shared Ola WallermaniD· 2 shared Abigail LindiD· 1 shared Adam AmeuriD· 1 shared Åke A. HedhammariD· 1 shared Allyson G. HindleiD· 1 shared

Activity by Year

2019-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 34 mutual co-author links

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3 shared papersGenomics

Jennifer R. S. MeadowsORCID

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3 papers

Recent·Most cited

Title: Leveraging Base Pair Mammalian Constraint to Understand Genetic Variation and Human Disease

Patrick F. Sullivan, Jennifer R. S. Meadows, Steven Gazal, BaDoi N. Phan, Xue Li, Diane P. Genereux, Michael X. Dong, Matteo Bianchi, Gregory Andrews, Sharadha Sakthikumar, Jessika Nordin, Ananya Roy, Matthew J. Christmas, Voichita D. Marinescu, Chao Wang, , Arcadi Navarro

The paper uses evolutionary constraint scores to identify functional genomic regions and finds they are enriched for variants associated with common diseases.

Science · Apr 27, 2023Peer-reviewedGenomics

A new long-read dog assembly uncovers thousands of exons and functional elements missing in the previous reference

Chao Wang, Ola Wallerman, Maja L. Arendt, Elisabeth Sundström, Åsa Karlsson, Jessika Nordin, Suvi Mäkeläinen, Gerli Pielberg, Jeanette Hanson, Åsa Ohlsson, Sara Saellström, Henrik Rönnberg, Ingrid Ljungvall, Jens U. Häggström, Tomas F. Bergström, , Kerstin Lindblad‐Toh

The paper presents a new long-read dog genome assembly that reduces gaps and identifies thousands of previously hidden exons and functional elements.

bioRxiv · Jul 2, 2020 · PreprintGenomics

SweHLA: the high confidence HLA typing bio-resource drawn from 1 000 Swedish genomes

Jessika Nordin, Adam Ameur, Kerstin Lindblad‐Toh, Ulf B Gyllensten, Jennifer R. S. Meadows

The paper develops SweHLA, a high-confidence HLA typing resource from 1,000 Swedish genomes, showing high concordance across software and highlighting discordant alleles potentially linked to disease.

European Journal of Human Genetics · Dec 16, 2019Peer-reviewedGenetics