| 1. |
- Berndt, Sonja, I, et al.
(författare)
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Distinct germline genetic susceptibility profiles identified for common non-Hodgkin lymphoma subtypes
- 2022
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Ingår i: Leukemia. - : Springer Nature. - 0887-6924 .- 1476-5551. ; 36:12, s. 2835-2844
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Tidskriftsartikel (refereegranskat)abstract
- Lymphoma risk is elevated for relatives with common non-Hodgkin lymphoma (NHL) subtypes, suggesting shared genetic susceptibility across subtypes. To evaluate the extent of mutual heritability among NHL subtypes and discover novel loci shared among subtypes, we analyzed data from eight genome-wide association studies within the InterLymph Consortium, including 10,629 cases and 9505 controls. We utilized Association analysis based on SubSETs (ASSET) to discover loci for subsets of NHL subtypes and evaluated shared heritability across the genome using Genome-wide Complex Trait Analysis (GCTA) and polygenic risk scores. We discovered 17 genome-wide significant loci (P < 5 × 10−8) for subsets of NHL subtypes, including a novel locus at 10q23.33 (HHEX) (P = 3.27 × 10−9). Most subset associations were driven primarily by only one subtype. Genome-wide genetic correlations between pairs of subtypes varied broadly from 0.20 to 0.86, suggesting substantial heterogeneity in the extent of shared heritability among subtypes. Polygenic risk score analyses of established loci for different lymphoid malignancies identified strong associations with some NHL subtypes (P < 5 × 10−8), but weak or null associations with others. Although our analyses suggest partially shared heritability and biological pathways, they reveal substantial heterogeneity among NHL subtypes with each having its own distinct germline genetic architecture.
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| 2. |
- Myksvoll, Mari S., et al.
(författare)
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Linking dispersal connectivity to population structure and management boundaries for saithe in the Northeast Atlantic
- 2021
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Ingår i: Marine Ecology Progress Series. - : Inter-Research Science Center. - 0171-8630 .- 1616-1599. ; 680, s. 177-191
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Tidskriftsartikel (refereegranskat)abstract
- Population connectivity is an increasingly important focal area for the understanding of how marine fish populations respond to anthropogenic pressures like climate change and fisheries. Our model species, the saithe Pollachius virens (Linnaeus, 1758), was chosen because genetic analyses have documented a mismatch between the assessed stocks and the biological populations. We combined laboratory experiments of saithe egg buoyancy and temperature-modulated development time, genetic field data, and high-resolution oceanographic models to disentangle the mechanisms causing isolation and mixing between the management units and the biological populations. Saithe egg buoyancy and development data were included in an individual-based model to simulate transport from all known spawning grounds in the Northeast Atlantic. The results show that interannual variability in the transport of early life stages is strongly influenced by wider climate systems (e.g. the North Atlantic Oscillation). One sample (Rockall) showed genetic differences from the other samples, and this finding was supported by the model showing low mixing with other populations and strong local retention. Strong retention of early life stages around Iceland could indicate an isolated population; however, this possible isolation is counteracted by active migration of adults westward from the Norwegian coast, and no genetic differentiation from other populations was found. Overall, the dispersal modeling supports the genetic analysis, showing a large and well-connected Central Northeast Atlantic population distributed across several management units. This mismatch between population structure and management units can potentially increase the risk for overexploitation of saithe.
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