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- Andersson, SGE, et al.
(författare)
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Codon usage and base composition in Rickettsia prowazekii
- 1996
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Ingår i: JOURNAL OF MOLECULAR EVOLUTION. - : SPRINGER VERLAG. - 0022-2844. ; 42:5, s. 525-536
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Tidskriftsartikel (övrigt vetenskapligt/konstnärligt)abstract
- Codon usage and base composition in sequences from the A + T-rich genome of Rickettsia prowazekii, a member of the alpha Proteobacteria, have been investigated. Synonymous codon usage patterns are roughly similar among genes, even though the data set incl
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- Andersson, SGE, et al.
(författare)
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Codon usage in the Mycobacterium tuberculosis complex
- 1996
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Ingår i: MICROBIOLOGY-UK. - : SOC GENERAL MICROBIOLOGY. - 1350-0872. ; 142, s. 915-925
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Tidskriftsartikel (övrigt vetenskapligt/konstnärligt)abstract
- The usage of alternative synonymous codons in Mycobacterium tuberculosis (and M. bovis) genes has been investigated. This species is a member of the high-Ci + C Gram-positive bacteria, with a genomic G + C content around 65 mol%, This G + C-richness is re
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- Bethlehem, RAI, et al.
(författare)
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Brain charts for the human lifespan
- 2022
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Ingår i: Nature. - : Springer Science and Business Media LLC. - 1476-4687 .- 0028-0836. ; 604:79057906, s. 525-
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Tidskriftsartikel (refereegranskat)abstract
- Over the past few decades, neuroimaging has become a ubiquitous tool in basic research and clinical studies of the human brain. However, no reference standards currently exist to quantify individual differences in neuroimaging metrics over time, in contrast to growth charts for anthropometric traits such as height and weight1. Here we assemble an interactive open resource to benchmark brain morphology derived from any current or future sample of MRI data (http://www.brainchart.io/). With the goal of basing these reference charts on the largest and most inclusive dataset available, acknowledging limitations due to known biases of MRI studies relative to the diversity of the global population, we aggregated 123,984 MRI scans, across more than 100 primary studies, from 101,457 human participants between 115 days post-conception to 100 years of age. MRI metrics were quantified by centile scores, relative to non-linear trajectories2 of brain structural changes, and rates of change, over the lifespan. Brain charts identified previously unreported neurodevelopmental milestones3, showed high stability of individuals across longitudinal assessments, and demonstrated robustness to technical and methodological differences between primary studies. Centile scores showed increased heritability compared with non-centiled MRI phenotypes, and provided a standardized measure of atypical brain structure that revealed patterns of neuroanatomical variation across neurological and psychiatric disorders. In summary, brain charts are an essential step towards robust quantification of individual variation benchmarked to normative trajectories in multiple, commonly used neuroimaging phenotypes.
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- Kupers, LK, et al.
(författare)
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Meta-analysis of epigenome-wide association studies in neonates reveals widespread differential DNA methylation associated with birthweight
- 2019
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Ingår i: Nature communications. - : Springer Science and Business Media LLC. - 2041-1723. ; 10:1, s. 1893-
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Tidskriftsartikel (refereegranskat)abstract
- Birthweight is associated with health outcomes across the life course, DNA methylation may be an underlying mechanism. In this meta-analysis of epigenome-wide association studies of 8,825 neonates from 24 birth cohorts in the Pregnancy And Childhood Epigenetics Consortium, we find that DNA methylation in neonatal blood is associated with birthweight at 914 sites, with a difference in birthweight ranging from −183 to 178 grams per 10% increase in methylation (PBonferroni < 1.06 x 10−7). In additional analyses in 7,278 participants, <1.3% of birthweight-associated differential methylation is also observed in childhood and adolescence, but not adulthood. Birthweight-related CpGs overlap with some Bonferroni-significant CpGs that were previously reported to be related to maternal smoking (55/914, p = 6.12 x 10−74) and BMI in pregnancy (3/914, p = 1.13x10−3), but not with those related to folate levels in pregnancy. Whether the associations that we observe are causal or explained by confounding or fetal growth influencing DNA methylation (i.e. reverse causality) requires further research.
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