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1. Sequence variant affects GCSAML splicing, mast cell specific proteins, and risk of urticaria

Author

Ragnar P. Kristjansson, Gudjon R. Oskarsson, Astros Skuladottir, Asmundur Oddsson, Solvi Rognvaldsson, Gardar Sveinbjornsson, Sigrun H. Lund, Brynjar O. Jensson, Edda L. Styrmisdottir, Gisli H. Halldorsson, Egil Ferkingstad, Grimur Hjorleifsson Eldjarn, Doruk Beyter, Snædis Kristmundsdottir, Kristinn Juliusson, Run Fridriksdottir, Gudny A. Arnadottir, Hildigunnur Katrinardottir, Margret H. Snorradottir, Vinicius Tragante, Lilja Stefansdottir, Erna V. Ivarsdottir, Gyda Bjornsdottir, Bjarni V. Halldorsson, Gudmar Thorleifsson, Bjorn R. Ludviksson, Pall T. Onundarson, Saedis Saevarsdottir, Pall Melsted, Gudmundur L. Norddahl, Unnur S. Bjornsdottir, Thorunn Olafsdottir, Daniel F. Gudbjartsson, Unnur Thorsteinsdottir, Ingileif Jonsdottir, Patrick Sulem, and Kari Stefansson

Subjects
Biology (General), QH301-705.5
Abstract

Abstract Urticaria is a skin disorder characterized by outbreaks of raised pruritic wheals. In order to identify sequence variants associated with urticaria, we performed a meta-analysis of genome-wide association studies for urticaria with a total of 40,694 cases and 1,230,001 controls from Iceland, the UK, Finland, and Japan. We also performed transcriptome- and proteome-wide analyses in Iceland and the UK. We found nine sequence variants at nine loci associating with urticaria. The variants are at genes participating in type 2 immune responses and/or mast cell biology (CBLB, FCER1A, GCSAML, STAT6, TPSD1, ZFPM1), the innate immunity (C4), and NF-κB signaling. The most significant association was observed for the splice-donor variant rs56043070[A] (hg38: chr1:247556467) in GCSAML (MAF = 6.6%, OR = 1.24 (95%CI: 1.20–1.28), P-value = 3.6 × 10-44). We assessed the effects of the variants on transcripts, and levels of proteins relevant to urticaria pathophysiology. Our results emphasize the role of type 2 immune response and mast cell activation in the pathogenesis of urticaria. Our findings may point to an IgE-independent urticaria pathway that could help address unmet clinical need.

Published
2023
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2. Sequence variants affecting the genome-wide rate of germline microsatellite mutations

Author

Snaedis Kristmundsdottir, Hakon Jonsson, Marteinn T. Hardarson, Gunnar Palsson, Doruk Beyter, Hannes P. Eggertsson, Arnaldur Gylfason, Gardar Sveinbjornsson, Guillaume Holley, Olafur A. Stefansson, Gisli H. Halldorsson, Sigurgeir Olafsson, Gudny. A. Arnadottir, Pall I. Olason, Ogmundur Eiriksson, Gisli Masson, Unnur Thorsteinsdottir, Thorunn Rafnar, Patrick Sulem, Agnar Helgason, Daniel F. Gudbjartsson, Bjarni V. Halldorsson, and Kari Stefansson

Subjects
Science
Abstract

Abstract Microsatellites are polymorphic tracts of short tandem repeats with one to six base-pair (bp) motifs and are some of the most polymorphic variants in the genome. Using 6084 Icelandic parent-offspring trios we estimate 63.7 (95% CI: 61.9–65.4) microsatellite de novo mutations (mDNMs) per offspring per generation, excluding one bp repeats motifs (homopolymers) the estimate is 48.2 mDNMs (95% CI: 46.7–49.6). Paternal mDNMs occur at longer repeats than maternal ones, which are in turn larger with a mean size of 3.4 bp vs 3.1 bp for paternal ones. mDNMs increase by 0.97 (95% CI: 0.90–1.04) and 0.31 (95% CI: 0.25–0.37) per year of father’s and mother’s age at conception, respectively. Here, we find two independent coding variants that associate with the number of mDNMs transmitted to offspring; The minor allele of a missense variant (allele frequency (AF) = 1.9%) in MSH2, a mismatch repair gene, increases transmitted mDNMs from both parents (effect: 13.1 paternal and 7.8 maternal mDNMs). A synonymous variant (AF = 20.3%) in NEIL2, a DNA damage repair gene, increases paternally transmitted mDNMs (effect: 4.4 mDNMs). Thus, the microsatellite mutation rate in humans is in part under genetic control.

Published
2023
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3. Deficit of homozygosity among 1.52 million individuals and genetic causes of recessive lethality

Author

Asmundur Oddsson, Patrick Sulem, Gardar Sveinbjornsson, Gudny A. Arnadottir, Valgerdur Steinthorsdottir, Gisli H. Halldorsson, Bjarni A. Atlason, Gudjon R. Oskarsson, Hannes Helgason, Henriette Svarre Nielsen, David Westergaard, Juha M. Karjalainen, Hildigunnur Katrinardottir, Run Fridriksdottir, Brynjar O. Jensson, Vinicius Tragante, Egil Ferkingstad, Hakon Jonsson, Sigurjon A. Gudjonsson, Doruk Beyter, Kristjan H. S. Moore, Helga B. Thordardottir, Snaedis Kristmundsdottir, Olafur A. Stefansson, Solbritt Rantapää-Dahlqvist, Ida Elken Sonderby, Maria Didriksen, Pernilla Stridh, Jan Haavik, Laufey Tryggvadottir, Oleksandr Frei, G. Bragi Walters, Ingrid Kockum, Henrik Hjalgrim, Thorunn A. Olafsdottir, Geir Selbaek, Mette Nyegaard, Christian Erikstrup, Thorsten Brodersen, Saedis Saevarsdottir, Tomas Olsson, Kaspar Rene Nielsen, Asgeir Haraldsson, Mie Topholm Bruun, Thomas Folkmann Hansen, DBDS Genomic Consortium, Thora Steingrimsdottir, Rikke Louise Jacobsen, Rolv T. Lie, Srdjan Djurovic, Lars Alfredsson, Aitzkoa Lopez de Lapuente Portilla, Soren Brunak, Pall Melsted, Bjarni V. Halldorsson, Jona Saemundsdottir, Olafur Th. Magnusson, Leonid Padyukov, Karina Banasik, Thorunn Rafnar, Johan Askling, Lars Klareskog, Ole Birger Pedersen, Gisli Masson, Alexandra Havdahl, Bjorn Nilsson, Ole A. Andreassen, Mark Daly, Sisse Rye Ostrowski, Ingileif Jonsdottir, Hreinn Stefansson, Hilma Holm, Agnar Helgason, Unnur Thorsteinsdottir, Kari Stefansson, and Daniel F. Gudbjartsson

Subjects
Science
Abstract

Abstract Genotypes causing pregnancy loss and perinatal mortality are depleted among living individuals and are therefore difficult to find. To explore genetic causes of recessive lethality, we searched for sequence variants with deficit of homozygosity among 1.52 million individuals from six European populations. In this study, we identified 25 genes harboring protein-altering sequence variants with a strong deficit of homozygosity (10% or less of predicted homozygotes). Sequence variants in 12 of the genes cause Mendelian disease under a recessive mode of inheritance, two under a dominant mode, but variants in the remaining 11 have not been reported to cause disease. Sequence variants with a strong deficit of homozygosity are over-represented among genes essential for growth of human cell lines and genes orthologous to mouse genes known to affect viability. The function of these genes gives insight into the genetics of intrauterine lethality. We also identified 1077 genes with homozygous predicted loss-of-function genotypes not previously described, bringing the total set of genes completely knocked out in humans to 4785.

Published
2023
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4. Whole genome sequencing identifies structural variants contributing to hematologic traits in the NHLBI TOPMed program

Author

Marsha M. Wheeler, Adrienne M. Stilp, Shuquan Rao, Bjarni V. Halldórsson, Doruk Beyter, Jia Wen, Anna V. Mihkaylova, Caitlin P. McHugh, John Lane, Min-Zhi Jiang, Laura M. Raffield, Goo Jun, Fritz J. Sedlazeck, Ginger Metcalf, Yao Yao, Joshua B. Bis, Nathalie Chami, Paul S. de Vries, Pinkal Desai, James S. Floyd, Yan Gao, Kai Kammers, Wonji Kim, Jee-Young Moon, Aakrosh Ratan, Lisa R. Yanek, Laura Almasy, Lewis C. Becker, John Blangero, Michael H. Cho, Joanne E. Curran, Myriam Fornage, Robert C. Kaplan, Joshua P. Lewis, Ruth J. F. Loos, Braxton D. Mitchell, Alanna C. Morrison, Michael Preuss, Bruce M. Psaty, Stephen S. Rich, Jerome I. Rotter, Hua Tang, Russell P. Tracy, Eric Boerwinkle, Goncalo R. Abecasis, Thomas W. Blackwell, Albert V. Smith, Andrew D. Johnson, Rasika A. Mathias, Deborah A. Nickerson, Matthew P. Conomos, Yun Li, Unnur Þorsteinsdóttir, Magnús K. Magnússon, Kari Stefansson, Nathan D. Pankratz, Daniel E. Bauer, Paul L. Auer, and Alex P. Reiner

Subjects
Science
Abstract

Most genetic association studies have been done on single nucleotide polymorphisms and small indels, while other types of variants have been less studied. Here, the authors use whole genome sequencing in a diverse population to identify and provide experimental evidence for associations between structural variants and blood-cell traits.

Published
2022
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5. Publisher Correction: Deficit of homozygosity among 1.52 million individuals and genetic causes of recessive lethality

Author

Asmundur Oddsson, Patrick Sulem, Gardar Sveinbjornsson, Gudny A. Arnadottir, Valgerdur Steinthorsdottir, Gisli H. Halldorsson, Bjarni A. Atlason, Gudjon R. Oskarsson, Hannes Helgason, Henriette Svarre Nielsen, David Westergaard, Juha M. Karjalainen, Hildigunnur Katrinardottir, Run Fridriksdottir, Brynjar O. Jensson, Vinicius Tragante, Egil Ferkingstad, Hakon Jonsson, Sigurjon A. Gudjonsson, Doruk Beyter, Kristjan H. S. Moore, Helga B. Thordardottir, Snaedis Kristmundsdottir, Olafur A. Stefansson, Solbritt Rantapää-Dahlqvist, Ida Elken Sonderby, Maria Didriksen, Pernilla Stridh, Jan Haavik, Laufey Tryggvadottir, Oleksandr Frei, G. Bragi Walters, Ingrid Kockum, Henrik Hjalgrim, Thorunn A. Olafsdottir, Geir Selbaek, Mette Nyegaard, Christian Erikstrup, Thorsten Brodersen, Saedis Saevarsdottir, Tomas Olsson, Kaspar Rene Nielsen, Asgeir Haraldsson, Mie Topholm Bruun, Thomas Folkmann Hansen, DBDS Genomic Consortium, Thora Steingrimsdottir, Rikke Louise Jacobsen, Rolv T. Lie, Srdjan Djurovic, Lars Alfredsson, Aitzkoa Lopez de Lapuente Portilla, Soren Brunak, Pall Melsted, Bjarni V. Halldorsson, Jona Saemundsdottir, Olafur Th. Magnusson, Leonid Padyukov, Karina Banasik, Thorunn Rafnar, Johan Askling, Lars Klareskog, Ole Birger Pedersen, Gisli Masson, Alexandra Havdahl, Bjorn Nilsson, Ole A. Andreassen, Mark Daly, Sisse Rye Ostrowski, Ingileif Jonsdottir, Hreinn Stefansson, Hilma Holm, Agnar Helgason, Unnur Thorsteinsdottir, Kari Stefansson, and Daniel F. Gudbjartsson

Subjects
Science
Published
2023
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6. PopDel identifies medium-size deletions simultaneously in tens of thousands of genomes

Author

Sebastian Niehus, Hákon Jónsson, Janina Schönberger, Eythór Björnsson, Doruk Beyter, Hannes P. Eggertsson, Patrick Sulem, Kári Stefánsson, Bjarni V. Halldórsson, and Birte Kehr

Subjects
Science
Abstract

Identifying structural variants (SVs) from whole genome sequence data has been a significant bioinformatic challenge. Here, the authors describe PopDel, which uses a joint SV detection approach to reliably and efficiently identify 500-10,000 bp deletions across large population cohorts.

Published
2021
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7. GraphTyper2 enables population-scale genotyping of structural variation using pangenome graphs

Author

Hannes P. Eggertsson, Snaedis Kristmundsdottir, Doruk Beyter, Hakon Jonsson, Astros Skuladottir, Marteinn T. Hardarson, Daniel F. Gudbjartsson, Kari Stefansson, Bjarni V. Halldorsson, and Pall Melsted

Subjects
Science
Abstract

Structural variants may be omitted in sequence analysis despite their importance in genome variation and phenotypic impact. Here the authors present GraphTyper2, which uses pangenome graphs to genotype structural variants using short-reads and can be applied in large-scale sequencing studies.

Published
2019
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8. PopDel identifies medium-size deletions simultaneously in tens of thousands of genomes

Author

Eythór Björnsson, Hannes P. Eggertsson, Kari Stefansson, Sebastian Niehus, Hakon Jonsson, Patrick Sulem, Birte Kehr, Janina Schönberger, Doruk Beyter, and Bjarni V. Halldorsson

Subjects
0301 basic medicine, Male, Science, Population, Inheritance Patterns, 610 Medizin, General Physics and Astronomy, Computational biology, Biology, Genome informatics, Genome, General Biochemistry, Genetics and Molecular Biology, Article, Set (abstract data type), 03 medical and health sciences, 0302 clinical medicine, Data sequences, Humans, education, Sequence Deletion, ddc:610, education.field_of_study, Multidisciplinary, Genome, Human, High-Throughput Nucleotide Sequencing, Reproducibility of Results, General Chemistry, Phenotypic trait, Sequence Analysis, DNA, Identification (information), 030104 developmental biology, Genomic Structural Variation, Feasibility Studies, Female, Structural variation, Metagenomics, Precision and recall, 030217 neurology & neurosurgery
Abstract

Thousands of genomic structural variants (SVs) segregate in the human population and can impact phenotypic traits and diseases. Their identification in whole-genome sequence data of large cohorts is a major computational challenge. Most current approaches identify SVs in single genomes and afterwards merge the identified variants into a joint call set across many genomes. We describe the approach PopDel, which directly identifies deletions of about 500 to at least 10,000 bp in length in data of many genomes jointly, eliminating the need for subsequent variant merging. PopDel scales to tens of thousands of genomes as we demonstrate in evaluations on up to 49,962 genomes. We show that PopDel reliably reports common, rare and de novo deletions. On genomes with available high-confidence reference call sets PopDel shows excellent recall and precision. Genotype inheritance patterns in up to 6794 trios indicate that genotypes predicted by PopDel are more reliable than those of previous SV callers. Furthermore, PopDel’s running time is competitive with the fastest tested previous tools. The demonstrated scalability and accuracy of PopDel enables routine scans for deletions in large-scale sequencing studies., Identifying structural variants (SVs) from whole genome sequence data has been a significant bioinformatic challenge. Here, the authors describe PopDel, which uses a joint SV detection approach to reliably and efficiently identify 500-10,000 bp deletions across large population cohorts.

Published
2021

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