12 research outputs found
The impact of endometriosis on the outcome of Assisted Reproductive Technology
BACKGROUND: Endometriosis has been described to impair fertility through various mechanisms. However, studies evaluating the reproductive outcomes of women undergoing assisted reproductive technologies show controversial results. The aim of this study is to assess whether the reproductive outcome is impaired among women with endometriosis-associated infertility undergoing IVF. METHODS:
A retrospective cohort study was performed, including women undergoing IVF reported by the Red Latinoamericana de Reproduccion Asistida (Redlara) registry, between January 2010 and December 2012. The study group included women with endometriosis-associated infertility, and the control group women with tubal factor, endocrine disorders or unexplained infertility. Women above 40 years, severe male factor and premature ovarian failure were excluded. The reproductive outcomes of between both groups were compared. The primary outcome was live birth. Secondary outcomes included clinical pregnancy, miscarriage, number of oocytes retrieved and number of fertilized oocytes. Outcomes were assessed after the first fresh IVF cycle, and were adjusted for age and number of embryos transferred. RESULTS: A total of 22.416 women were included (3.583 with endometriosis and 18.833 in the control group). Mean age of patients in the endometriosis group and control group was 34.86 (3.47) and 34.61 (3.91) respectively, p = 0.000. The mean number of oocytes retrieved were 8.89 (6.23) and 9.86 (7.02) respectively, p = 0.000. No significant differences were observed between groups in terms of live birth (odds ratio (OR) 1.032, p = 0.556), clinical pregnancy (OR 1.044, p = 0.428) and miscarriage rates (OR 1.049, p = 0.623). Women with endometriosis had significantly lower number of oocytes retrieved (incidence risk ratio (IRR) 0.917, 95% CI 0.895-0.940), however, the number of fertilized oocytes did not differ among the two groups when adjusting for the number of oocytes retrieved (IRR 1.003, p = 0.794). An age-stratified analysis was performed, and no differences were observed in the reproductive outcomes between groups for women aged under 35 and 35 to 40. CONCLUSIONS: Reproductive outcomes among women undergoing IVF and diagnosed with endometriosis-associated infertility do not differ significantly from women without the disease. Although women with endometriosis generate fewer oocytes, fertilization rate is not impaired and the likelihood of achieving a live birth is also not affected
A genome-wide association study for culm cellulose content in barley reveals candidate genes co-expressed with members of the <i>Cellulose Synthase A </i>gene family
Cellulose is a fundamentally important component of cell walls of higher plants. It provides a scaffold that allows the development and growth of the plant to occur in an ordered fashion. Cellulose also provides mechanical strength, which is crucial for both normal development and to enable the plant to withstand both abiotic and biotic stresses. We quantified the cellulose concentration in the culm of 288 two--rowed and 288 six--rowed spring type barley accessions that were part of the USDA funded barley Coordinated Agricultural Project (CAP) program in the USA. When the population structure of these accessions was analysed we identified six distinct populations, four of which we considered to be comprised of a sufficient number of accessions to be suitable for genome-wide association studies (GWAS). These lines had been genotyped with 3072 SNPs so we combined the trait and genetic data to carry out GWAS. The analysis allowed us to identify regions of the genome containing significant associations between molecular markers and cellulose concentration data, including one region cross-validated in multiple populations. To identify candidate genes we assembled the gene content of these regions and used these to query a comprehensive RNA-seq based gene expression atlas. This provided us with gene annotations and associated expression data across multiple tissues, which allowed us to formulate a supported list of candidate genes that regulate cellulose biosynthesis. Several regions identified by our analysis contain genes that are co-expressed with cellulose synthase A (HvCesA) across a range of tissues and developmental stages. These genes are involved in both primary and secondary cell wall development. In addition, genes that have been previously linked with cellulose synthesis by biochemical methods, such as HvCOBRA, a gene of unknown function, were also associated with cellulose levels in the association panel. Our analyses provide new insights into the genes that contribute to cellulose content in cereal culms and to a greater understanding of the interactions between them.Kelly Houston, Rachel A. Burton, Beata Sznajder, Antoni J. Rafalski, Kanwarpal S. Dhugga, Diane E. Mather, Jillian Taylor, Brian J. Steffenson, Robbie Waugh, Geoffrey B. Finche
SNP genotyping in melons: genetic variation, population structure, and linkage disequilibrium
Novel sequencing technologies were recently used to generate sequences from multiple melon (Cucumis melo L.) genotypes, enabling the in silico identification of large single nucleotide polymorphism (SNP) collections. In order to optimize the use of these markers, SNP validation and large-scale genotyping are necessary. In this paper, we present the first validated design for a genotyping array with 768 SNPs that are evenly distributed throughout the melon genome. This customized Illumina GoldenGate assay was used to genotype a collection of 74 accessions, representing most of the botanical groups of the species. Of the assayed loci, 91 % were successfully genotyped. The array provided a large number of polymorphic SNPs within and across accessions. This set of SNPs detected high levels of variation in accessions from this crop’s center of origin as well as from several other areas of melon diversification. Allele distribution throughout the genome revealed regions that distinguished between the two main groups of cultivated accessions (inodorus and cantalupensis). Population structure analysis showed a subdivision into five subpopulations, reflecting the history of the crop. A considerably low level of LD was detected, which decayed rapidly within a few kilobases. Our results show that the GoldenGate assay can be used successfully for high-throughput SNP genotyping in melon. Since many of the genotyped accessions are currently being used as the parents of breeding populations in various programs, this set of mapped markers could be used for future mapping and breeding efforts.This project was carried out in the frame of the MELONOMICS project (2009–2012) of the Fundación Genoma España and with the contributions of the PLAT KKBE project PIM2010PKB-00691.Peer reviewe