Analysis of dental care of children receiving comprehensive care under general anaesthesia at a teaching hospital in England

Objectives: This study aimed to analyse the characteristics of comprehensive dental care provided under general anaesthesia (CDGA) and to review the additional treatment required by children over the 6 years subsequent to CDGA. Method: Information collected from hospital records for the 6-year period following the first CDGA included the types of dental treatment performed at CDGA, the return rates for follow-up appointments, further treatment required subsequent to CDGA and the types of dental treatment performed at repeat DGA. Results: The study population consisted of 263 children, of whom 129 had a significant medical history, with mean age of 6.7 years. The results revealed that the waiting time for CDGA was significantly shorter in children who had a significant medical history, with 49 % being admitted for CDGA within 3 months of pre-GA assessment, as compared to 29 % of healthy children. 67 % of children had follow-up care recorded, with a slightly higher proportion of children with significant medical history returning for follow-up [70 % (90/129)] compared with 65 % (87/134) of healthy children. Re-treatment rates were 34 % (88/263), the majority of cases being treated under local analgesia (42/88). 34 of 263 children had repeat DGA (12.9 %). Of these 71 % (24/34) were children with significant medical history. The mean age at repeat DGA was 9 years. In 25 of 34 children (74 %), repeat DGA was due to trauma, oral pathology, supernumerary removal, hypomineralized teeth or new caries of previously sound or un-erupted teeth at CDGA. The ratio of extraction over restoration (excluding fissure sealants) performed at repeat DGA was 2.8, compared with the ratio of 1.3 in the initial CDGA. Conclusions: There was a higher ratio of extraction over restorations at the repeat DGA. This suggests that the prescribed treatments at repeat DGA were more aggressive as compared to the initial CDGA in 1997. The majority of the treatment required at repeat DGA was to treat new disease

Hundreds of variants clustered in genomic loci and biological pathways affect human height

Most common human traits and diseases have a polygenic pattern of inheritance: DNA sequence variants at many genetic loci influence the phenotype. Genome-wide association (GWA) studies have identified more than 600 variants associated with human traits, but these typically explain small fractions of phenotypic variation, raising questions about the use of further studies. Here, using 183,727 individuals, we show that hundreds of genetic variants, in at least 180 loci, influence adult height, a highly heritable and classic polygenic trait. The large number of loci reveals patterns with important implications for genetic studies of common human diseases and traits. First, the 180 loci are not random, but instead are enriched for genes that are connected in biological pathways (P = 0.016) and that underlie skeletal growth defects (P < 0.001). Second, the likely causal gene is often located near the most strongly associated variant: in 13 of 21 loci containing a known skeletal growth gene, that gene was closest to the associated variant. Third, at least 19 loci have multiple independently associated variants, suggesting that allelic heterogeneity is a frequent feature of polygenic traits, that comprehensive explorations of already-discovered loci should discover additional variants and that an appreciable fraction of associated loci may have been identified. Fourth, associated variants are enriched for likely functional effects on genes, being over-represented among variants that alter amino-acid structure of proteins and expression levels of nearby genes. Our data explain approximately 10% of the phenotypic variation in height, and we estimate that unidentified common variants of similar effect sizes would increase this figure to approximately 16% of phenotypic variation (approximately 20% of heritable variation). Although additional approaches are needed to dissect the genetic architecture of polygenic human traits fully, our findings indicate that GWA studies can identify large numbers of loci that implicate biologically relevant genes and pathways.

Network-Based Integration of GWAS and Gene Expression Identifies a HOX-Centric Network Associated with Serous Ovarian Cancer Risk

BACKGROUND: Genome-wide association studies (GWAS) have so far reported 12 loci associated with serous epithelial ovarian cancer (EOC) risk. We hypothesized that some of these loci function through nearby transcription factor (TF) genes and that putative target genes of these TFs as identified by coexpression may also be enriched for additional EOC risk associations. METHODS: We selected TF genes within 1 Mb of the top signal at the 12 genome-wide significant risk loci. Mutual information, a form of correlation, was used to build networks of genes strongly coexpressed with each selected TF gene in the unified microarray dataset of 489 serous EOC tumors from The Cancer Genome Atlas. Genes represented in this dataset were subsequently ranked using a gene-level test based on results for germline SNPs from a serous EOC GWAS meta-analysis (2,196 cases/4,396 controls). RESULTS: Gene set enrichment analysis identified six networks centered on TF genes (HOXB2, HOXB5, HOXB6, HOXB7 at 17q21.32 and HOXD1, HOXD3 at 2q31) that were significantly enriched for genes from the risk-associated end of the ranked list (P < 0.05 and FDR < 0.05). These results were replicated (P < 0.05) using an independent association study (7,035 cases/21,693 controls). Genes underlying enrichment in the six networks were pooled into a combined network. CONCLUSION: We identified a HOX-centric network associated with serous EOC risk containing several genes with known or emerging roles in serous EOC development. IMPACT: Network analysis integrating large, context-specific datasets has the potential to offer mechanistic insights into cancer susceptibility and prioritize genes for experimental characterization

Assessment of variation in immunosuppressive pathway genes reveals TGFBR2 to be associated with risk of clear cell ovarian cancer

BACKGROUND: Regulatory T (Treg) cells, a subset of CD4+ T lymphocytes, are mediators of immunosuppression in cancer, and, thus, variants in genes encoding Treg cell immune molecules could be associated with ovarian cancer. METHODS: In a population of 15,596 epithelial ovarian cancer (EOC) cases and 23,236 controls, we measured genetic associations of 1,351 SNPs in Treg cell pathway genes with odds of ovarian cancer and tested pathway and gene-level associations, overall and by histotype, for the 25 genes, using the admixture likelihood (AML) method. The most significant single SNP associations were tested for correlation with expression levels in 44 ovarian cancer patients. RESULTS: The most significant global associations for all genes in the pathway were seen in endometrioid (p = 0.082) and clear cell (p = 0.083), with the most significant gene level association seen with TGFBR2 (p = 0.001) and clear cell EOC. Gene associations with histotypes at p < 0.05 included: IL12 (p = 0.005 and p = 0.008, serous and high-grade serous, respectively), IL8RA (p = 0.035, endometrioid and mucinous), LGALS1 (p = 0.03, mucinous), STAT5B (p = 0.022, clear cell), TGFBR1 (p = 0.021 endometrioid) and TGFBR2 (p = 0.017 and p = 0.025, endometrioid and mucinous, respectively). CONCLUSIONS: Common inherited gene variation in Treg cell pathways shows some evidence of germline genetic contribution to odds of EOC that varies by histologic subtype and may be associated with mRNA expression of immune-complex receptor in EOC patients

Health profile for Danish adults with activity limitation: a cross-sectional study

Abstract Background Studies have indicated that people with disabilities die earlier and may experience a poorer health than the general population. This study investigated 31 factors related to health and well-being, health behaviour and social relations among Danish adults with activity limitation (AL). Methods This study was based on data from the Danish Health and Morbidity Survey (DHMS) 2013 where 25,000 men and women aged 16 years or older were selected randomly from the adult Danish population. A total of 14,265 individuals answered the self-administered questionnaire including 100 questions on health-related quality of life, health behaviour, morbidity, consequences of illness and social relations. Based on an international standard question on AL, 888 individuals (6%) were defined as having profound AL and 4180 (29%) as having some AL. Multiple logistic regression analyses were used to analyse the associations between activity limitation and 31 indicators of health. The results were presented as relative risks 95% confidence intervals. Results Twenty-eight of 31 indicators showed consistently poorer health and well-being, health behaviour and social relations among individuals with AL as compared to individuals without AL. The increased relative risks were in a range of 7-661% the risk among individuals without AL. An example is obesity where RR (95% CI) was 2.07 (1.82–2.37). Only contact with internet friends was significantly higher among individuals with AL as compared to individuals with no AL. There was no association between alcohol and AL and no association between fast food and some AL. Conclusion Danish adults with AL experience a poorer health and well-being, and have an unhealthier lifestyle and poorer social relations than adults without AL. People with activity limitation should be prioritized in public health and efforts done to secure availability and flexibility of health care services and primary prevention programs. Policies should address accessibility, availability and affordability of health care and health behaviour among people with activity limitation

Rare and low-frequency coding variants alter human adult height

Height is a highly heritable, classic polygenic trait with ~700 common associated variants identified so far through genome-wide association studies. Here, we report 83 new height-associated coding variants with lower minor allele frequencies (range of 0.1-4.8%) and effects of up to 2 cm/allele (e.g. in IHH, STC2, AR and CRISPLD2), >10 times the average effect of common variants. In functional follow-up studies, rare height-increasing variants of STC2 (+1-2 cm/allele) compromised proteolytic inhibition of PAPP-A and increased cleavage of IGFBP-4 in vitro, resulting in higher bioavailability of insulin-like growth factors. These 83 height-associated variants overlap genes mutated in monogenic growth disorders and highlight new biological candidates (e.g. ADAMTS3, IL11RA, NOX4) and pathways (e.g. proteoglycan/glycosaminoglycan synthesis) involved in growth. Our results demonstrate that sufficiently large sample sizes can uncover rare and low-frequency variants of moderate to large effect associated with polygenic human phenotypes, and that these variants implicate relevant genes and pathways.Cancer Research UK, Wellcome Trust A full list of acknowledgments appears in the Supplementary Note. Part of this work was conducted using the UK Biobank resource

Genetic variation in the estrogen metabolic pathway and mammographic density as an intermediate phenotype of breast cancer

Introduction: Several studies have examined the effect of genetic variants in genes involved in the estrogen metabolic pathway on mammographic density, but the number of loci studied and the sample sizes evaluated have been small and pathways have not been evaluated comprehensively. In this study, we evaluate the association between mammographic density and genetic variants of the estrogen metabolic pathway. Methods: A total of 239 SNPs in 34 estrogen metabolic genes were studied in 1,731 Swedish women who participated in a breast cancer case-control study, of which 891 were cases and 840 were controls. Film mammograms of the medio-lateral oblique view were digitalized and the software Cumulus was used for computer-assisted semi-automated thresholding of mammographic density. Generalized linear models controlling for possible confounders were used to evaluate the effects of SNPs on mammographic density. Results found to be nominally significant were examined in two independent populations. The admixture maximum likelihood-based global test was performed to evaluate the cumulative effect from multiple SNPs within the whole metabolic pathway and three subpathways for androgen synthesis, androgen-to-estrogen conversion and estrogen removal. Results: Genetic variants of genes involved in estrogen metabolism exhibited no appreciable effect on mammographic density. None of the nominally significant findings were validated. In addition, global analyses on the overall estrogen metabolic pathway and its subpathways did not yield statistically significant results. Conclusions: Overall, there is no conclusive evidence that genetic variants in genes involved in the estrogen metabolic pathway are associated with mammographic density in postmenopausal women