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- Clark, Andrew G., et al.
(author)
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Evolution of genes and genomes on the Drosophila phylogeny
- 2007
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In: Nature. - : Springer Science and Business Media LLC. - 0028-0836 .- 1476-4687. ; 450:7167, s. 203-218
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Journal article (peer-reviewed)abstract
- Comparative analysis of multiple genomes in a phylogenetic framework dramatically improves the precision and sensitivity of evolutionary inference, producing more robust results than single-genome analyses can provide. The genomes of 12 Drosophila species, ten of which are presented here for the first time (sechellia, simulans, yakuba, erecta, ananassae, persimilis, willistoni, mojavensis, virilis and grimshawi), illustrate how rates and patterns of sequence divergence across taxa can illuminate evolutionary processes on a genomic scale. These genome sequences augment the formidable genetic tools that have made Drosophila melanogaster a pre-eminent model for animal genetics, and will further catalyse fundamental research on mechanisms of development, cell biology, genetics, disease, neurobiology, behaviour, physiology and evolution. Despite remarkable similarities among these Drosophila species, we identified many putatively non-neutral changes in protein-coding genes, non-coding RNA genes, and cis-regulatory regions. These may prove to underlie differences in the ecology and behaviour of these diverse species.
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- De Caterina, Raffaele, et al.
(author)
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Heterogeneity of diabetes as a risk factor for major adverse cardiovascular events in anticoagulated patients with atrial fibrillation : an analysis of the ARISTOTLE trial.
- 2020
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In: European Heart Journal - Cardiovascular Pharmacotherapy. - : Oxford University Press (OUP). - 2055-6837 .- 2055-6845. ; 8:3, s. 227-235
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Journal article (peer-reviewed)abstract
- AIMS: Whether diabetes without insulin therapy is an independent cardiovascular (CV) risk factor in atrial fibrillation (AF) has recently been questioned. We investigated the prognostic relevance of diabetes with or without insulin treatment in patients in the ARISTOTLE trial.METHODS AND RESULTS: Patients with AF and increased stroke risk randomized to apixaban vs. warfarin were classified according to diabetes status: no diabetes; diabetes on no diabetes medications; diabetes on non-insulin antidiabetic drugs only; or insulin-treated. The associations between such patient subgroups and stroke/systemic embolism (SE), myocardial infarction (MI), and CV death were examined by Cox proportional hazard regression, both unadjusted and adjusted for other prognostic variables. Patients with diabetes were younger and had a higher body mass index. Median CHA2DS2VASc score was 4.0 in patients with diabetes and 3.0 in patients without diabetes. We found no significant difference in stroke/SE incidence across patient subgroups. Compared with no diabetes, only insulin-treated diabetes was significantly associated with higher risk. When adjusted for clinical variables, compared with no diabetes, the hazard ratios (HRs) for MI (95% confidence intervals) were for diabetes on no medication: 1.15 (0.62-2.14); for diabetes on non-insulin antidiabetic drugs: 1.32 (0.90-1.94); for insulin-treated diabetes: 2.34 (1.43-3.82); interaction P = 0.008. HRs for CV death were for diabetes on no medication: 1.19 (0.86-166); for diabetes on non-insulin antidiabetic drugs: 1.12 (0.88-1.42); for insulin-treated diabetes 1.85 (1.36-2.53), interaction P = 0.001.CONCLUSION: In anticoagulated patients with AF, a higher risk of MI and CV death is largely confined to diabetes treated with insulin.
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- Lindblad-Toh, Kerstin, et al.
(author)
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Genome sequence, comparative analysis and haplotype structure of the domestic dog.
- 2005
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In: Nature. - : Springer Science and Business Media LLC. - 1476-4687 .- 0028-0836. ; 438:7069, s. 803-19
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Journal article (peer-reviewed)abstract
- Here we report a high-quality draft genome sequence of the domestic dog (Canis familiaris), together with a dense map of single nucleotide polymorphisms (SNPs) across breeds. The dog is of particular interest because it provides important evolutionary information and because existing breeds show great phenotypic diversity for morphological, physiological and behavioural traits. We use sequence comparison with the primate and rodent lineages to shed light on the structure and evolution of genomes and genes. Notably, the majority of the most highly conserved non-coding sequences in mammalian genomes are clustered near a small subset of genes with important roles in development. Analysis of SNPs reveals long-range haplotypes across the entire dog genome, and defines the nature of genetic diversity within and across breeds. The current SNP map now makes it possible for genome-wide association studies to identify genes responsible for diseases and traits, with important consequences for human and companion animal health.
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