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Jonsdottir, I.

Publications and source records attributed to Jonsdottir, I..

12 recordsLinked to original sources
bioRxiv2026

BloodVariome: a high-resolution atlas of inherited genetic effects in human immune cells

Genome-wide association studies have linked thousands of sequence variants to immune-mediated diseases, yet their cellular mechanisms remain largely unresolved. Here we present BloodVariome, a high-resolution atlas of genetic effects across the human immune cell hierarchy. Combining deep immunophenotyping with automated pattern-recognition, we quantified 1,533 traits across 127 immune cell populations in 11,983 individuals. We identified 259 significant associations, the vast majority of which are not captured by conventional bulk blood trait studies. Most associations were restricted to single immune lineages or cell populations, revealing a fine-grained genetic compartmentalization of the immune system. By linking known disease risk alleles to specific immune cell phenotypes, BloodVariome illuminates cellular mechanisms underlying autoimmunity, immunodeficiency, and hematologic malignancy. Moreover, we implicate novel regulators of human immune cell development and function. By bridging the gap between cohort size and phenotypic depth, BloodVariome establishes a high-resolution framework for interpreting how genetic variation shapes cellular immunity at population-scale.

genomics↗
bioRxiv2026

Population-scale immunoglobulin genetics resolves the human B-cell system

Immunoglobulins (Ig) mediate adaptive humoral immunity, yet the regulation of B-cell responses in vivo in humans remains inaccessible to direct experimentation. Here we use population-scale Ig genetics to resolve molecular regulation of the human B-cell system. Analysis of circulating IgA, IgG, IgM, and six composite Ig traits in 114,697 individuals identifies 504 genetic associations. Integration with regulatory genomics, plasma proteomics, and immunophenotyping maps these effects across the B-cell hierarchy, recovering known regulators and revealing previously unrecognized genes in humoral immunity. At key control nodes - including Fc{gamma} receptors, the immunoglobulin heavy-chain locus and the TACI-APRIL signaling axis - variants form allelic series generating graded perturbations of antibody output. Ig-associated loci show extensive overlap with autoimmunity, immunodeficiency and B-cell malignancy. These findings demonstrate that Ig traits, analyzed at population scale, encode fine-grained information about the regulation of the human B-cell system and link natural variation in humoral immunity to immune-mediated disease.

genomics↗
bioRxiv2026

Endometriosis lesions are oligoclonal structures derived from the normal endometrium

Endometriosis is characterized by the presence of endometrium-like tissue outside the uterus. The origin of this ectopic tissue is debated, with leading theories including retrograde menstruation and embryonic remnants. Using somatic mutations as markers, we show that endometriosis lesions consist of unrelated clones of epithelial cells, with stromal cells being distinct, and that lesions at different body sites have different sets of clones. We observed that mutation burdens, signatures and driver landscapes are similar in cells from lesions and normal endometrium and the distribution of somatic mutations along the length of chromosomes is consistent with uterine origin. Furthermore a large-scale screen of the normal endometrium of endometriosis patients identified clones that are ancestral to endometriosis, indicating that the ectopic tissue in endometriosis originates from the normal endometrium.

genetics↗
bioRxiv2025

ESBL plasmid compatibility with the surrounding microbial community influences ESBL gene survival under CRISPR-antimicrobial targeting

Bacteria often acquire resistance against antibiotics through the transfer of conjugative resistance plasmids. Hence, it is vital to develop strategies to mitigate the dispersal of antimicrobial resistance (AMR). CRISPR-based antimicrobial tools offer a sequence-specific solution to diminish and restrict the dissemination of antimicrobial resistance genes among bacteria. CRICON (CRISPR via conjugation) is an antimicrobial CRISPR tool that has been shown to efficiently reduce multi-resistance when targeting ESBL (Extended Spectrum Beta-Lactamase) harboring plasmids. However, conjugatively delivered genetic elements may be subjected to bacterial defense, lead to resistance development, and revert the efficiency of the CRISPR tools. Here, we studied the evolutionary consequences of four ESBL-harboring Escherichia coli strains targeted by CRICON in a 10-day multispecies microcosm experiment. We show that CRICON reduces the ESBL prevalence within the bacterial community, while the final ESBL persistence depends on the initial community composition. We observed an unexpected survival strategy of an ESBL-plasmid by escaping into a more competitive host species. Further, we show the development of partial resistance against the CRISPR-antimicrobials during the experiment. Our results underline the importance of the ecological and evolutionary factors in multispecies bacterial communities, as they may disrupt the effective use of CRISPR-based antimicrobial strategies via undesired outcomes of targeted therapies against plasmid-bearing multi-resistant bacteria.

microbiology↗
bioRxiv2025

Longitudinal dynamics of gut plasmidome and antibiotic resistance during antibiotic therapy: a case report

The human gut microbiome is composed of diverse microbes, and its association with human health is well-recognized. Antibiotic therapies for treating infectious diseases often mediate adverse influences on gut microbial ecosystems. Further, ESBL (extended-spectrum beta-lactamase)-producing bacteria potentially residing in the gut benefit from antibiotic-induced environmental changes via positive selection for resistance traits. As antimicrobial resistance (AMR) genes are often harbored by mobile plasmids, the importance of these extrachromosomal mobile genetic elements during antibiotic exposure is evident. However, there is still a knowledge gap in how microbiomes respond to antibiotic treatment especially in terms of plasmid carriage and how gut plasmid populations evolve following and revive after antibiotic therapy. To address these questions, in this case report we investigated the changes in plasmid population in the gut microbiome of a single ESBL-carrying patient during antibiotic therapy for uncomplicated acute appendicitis. Employing longitudinal sampling, we collected E. coli strains and performed metagenomic analysis before, during, and after the treatment. Our findings indicate that the antibiotic treatment is associated with a transient alteration in the microbial composition, AMR profile, and plasmid population. An extensive but temporary domination of ESBL-E. coli within the gut microbiome was observed parallel to the ongoing antibiotic treatment. However, this was not sustained in the follow-up period, indicating a slight restoration of both the microbial composition and the plasmid population. The research underscores the temporary impact of antibiotic therapy on the dynamics of the gut plasmidome which essentially mediate the spread of AMR within the gut microbiome.

microbiology↗
bioRxiv2021

The sequences of 150,119 genomes in the UK biobank

We describe the analysis of whole genome sequences (WGS) of 150,119 individuals from the UK biobank (UKB). This constitutes a set of high quality variants, including 585,040,410 SNPs, representing 7.0% of all possible human SNPs, and 58,707,036 indels. The large set of variants allows us to characterize selection based on sequence variation within a population through a Depletion Rank (DR) score for windows along the genome. DR analysis shows that coding exons represent a small fraction of regions in the genome subject to strong sequence conservation. We define three cohorts within the UKB, a large British Irish cohort (XBI) and smaller African (XAF) and South Asian (XSA) cohorts. A haplotype reference panel is provided that allows reliable imputation of most variants carried by three or more sequenced individuals. We identified 895,055 structural variants and 2,536,688 microsatellites, groups of variants typically excluded from large scale WGS studies. Using this formidable new resource, we provide several examples of trait associations for rare variants with large effects not found previously through studies based on exome sequencing and/or imputation.

genetics↗
bioRxiv2017

Recurrence of de novo mutations in families

De novo mutations (DNMs) cause a large fraction of severe rare diseases of childhood. DNMs that occur in early embryos may result in mosaicism of both somatic and germ cells. Such early mutations may be transmitted to more than one offspring and cause recurrence of serious disease. We scanned 1,007 sibling pairs from 251 families and identified 885 DNMs shared by siblings (ssDNMs) at 451 genomic sites. We estimated the probability of DNM recurrence based on presence in the blood of the parent, sharing by other siblings, parent-of-origin, mutation type, and genomic position. We detected 52.1% of ssDNMs in the parental blood. The probability of a DNM being shared goes down by 2.28% per year for paternal DNMs and 1.82% for maternal DNMs. Shared paternal DNMs are more likely to be T>C mutations than maternal ones, but less likely to be C>T mutations. Depending on DNM properties, the probability of recurrence in a younger sibling ranges from 0.013% to 29.6%. We have launched an online DNM recurrence probability calculator, to use in genetic counselling in cases of rare genetic diseases.

genomics↗
bioRxiv2017

Mutations in RPL3L and MYZAP increase risk of atrial fibrillation

We performed a meta-analysis of genome-wide association studies on atrial fibrillation (AF) among 14,710 cases and 373,897 controls from Iceland and 14,792 cases and 393,863 controls from the UK Biobank, focusing on low frequency coding and splice mutations, with follow-up in samples from Norway and the US. We observed associations with two missense (OR=1.19 for both) and one splice-donor mutation (OR=1.52) in RPL3L, encoding a ribosomal protein primarily expressed in skeletal muscle and heart. Analysis of 167 RNA samples from the right atrium revealed that the splice donor mutation in RPL3L results in exon skipping. AF is the first disease associated with RPL3L and RPL3L is the first ribosomal gene implicated in AF. This finding is consistent with tissue specialization of ribosomal function. We also found an association with a missense variant in MYZAP (OR=1.37), encoding a component of the intercalated discs of cardiomyocytes, the organelle harbouring most of the mutated proteins involved in arrhythmogenic right ventricular cardiomyopathy. Both discoveries emphasize the close relationship between the mechanical and electrical function of the heart.

genetics↗
bioRxiv2017

Genome-wide analysis yields new loci associating with aortic valve stenosis

Aortic valve stenosis (AS) is the most common valvular heart disease, characterized by a thickened and calcified valve causing left ventricular outflow obstruction. Severe AS is a significant cause of morbidity and mortality, affecting approximately 5% of those over 70 years of age1,2,3. Little is known about the genetics of AS, although recently a variant at the LPA locus4 and a rare MYH6 missense variant were found to associate with AS5. We report a large genome-wide association study (GWAS) with a follow-up in up to 7,307 AS cases and 801,073 controls. We identified two new AS loci, on chromosome 1p21 near PALMD (rs7543130; OR=1.20, P=1.2x10-22) and on chromosome 2q22 in TEX41 (rs1830321; OR=1.15, P=1.8x10-13). Rs7543130 also associates with bicuspid aortic valve (BAV) (OR=1.28, P=6.6x10-10) and aortic root diameter (P=1.30x10-8) and rs1830321 associates with BAV (OR=1.12, P=5.3x10-3 and coronary artery disease (CAD) (OR=1.05, P=9.3x10-5). These results indicate that AS is partly rooted in the same processes as cardiac development and atherosclerosis.

genetics↗
bioRxiv2017

A rare missense mutation in MYH6 confers high risk of coarctation of the aorta

Coarctation of the aorta (CoA) accounts for 4-8% of congenital heart defects (CHDs) and carries substantial morbidity despite treatment1. We performed a genome-wide association study (GWAS) of CoA among 120 Icelandic cases and 355,166 controls and found association with a rare (frequency = 0.34%) missense mutation p.Arg721Trp in MYH6 (odds ratio (OR) = 44.2, P = 5.0x10-22), encoding an essential sarcomere protein. Approximately 20% of CoA cases in Iceland carry p.Arg721Trp. This is the first mutation associated with non-familial or sporadic CoA at a population level. P.Arg721Trp also associates with risk of bicuspid aortic valve (BAV) and other CHDs and has been reported to have a broad effect on cardiac electrical function and to associate strongly with sick sinus syndrome (SSS) and atrial fibrillation (AF)2. These findings suggest that p.Arg721Trp in MYH6 causes a cardiac syndrome with highly variable expressivity, and emphasize the major importance of sarcomere integrity for cardiac development and function.

genetics↗
bioRxiv2017

Graphtyper: Population-scale genotyping using pangenome graphs

A fundamental requisite for genetic studies is an accurate determination of sequence variation. While human genome sequence diversity is increasingly well characterized, there is a need for efficient ways to utilize this knowledge in sequence analysis. Here we present Graphtyper, a publicly available novel algorithm and software for discovering and genotyping sequence variants. Graphtyper realigns short-read sequence data to a pangenome, a variation-aware graph structure that encodes sequence variation within a population by representing possible haplotypes as graph paths. Our results show that Graphtyper is fast, highly scalable, and provides sensitive and accurate genotype calls. Graphtyper genotyped 89.4 million sequence variants in whole-genomes of 28,075 Icelanders using less than 100,000 CPU days, including detailed genotyping of six human leukocyte antigen (HLA) genes. We show that Graphtyper is a valuable tool in characterizing sequence variation in population-scale sequencing studies.

bioinformatics↗