12 research outputs found

    Current practice of first-trimester ultrasound screening for structural fetal anomalies in developed countries

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    Objectives: First-trimester ultrasound screening is increasingly performed to detect fetal anomalies early in pregnancy, aiming to enhance reproductive autonomy for future parents. This study aims to display the current practice of first-trimester ultrasound screening in developed countries. Method: An online survey among 47 prenatal screening experts in developed countries. Results: First-trimester structural anomaly screening is available in 30 of the 33 countries and is mostly offered to all women with generally high uptakes. National protocols are available in 23/30 (76.7%) countries, but the extent of anatomy assessment varies. Monitoring of scan quality occurs in 43.3% of the countries. 23/43 (53.5%) of the respondents considered the quality of first-trimester ultrasound screening unequal in different regions of their country. Conclusions: First-trimester screening for structural fetal anomalies is widely offered in developed countries, but large differences are reported in availability and use of screening protocols, the extent of anatomy assessment, training and experience of sonographers and quality monitoring systems. Consequently, this results in an unequal offer to parents in developed countries, sometimes even within the same country. Furthermore, as offer and execution differ widely, this has to be taken into account when results of screening policies are scientifically published or compared.</p

    Genome-Wide Association Study in BRCA1 Mutation Carriers Identifies Novel Loci Associated with Breast and Ovarian Cancer Risk

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    BRCA1-associated breast and ovarian cancer risks can be modified by common genetic variants. To identify further cancer risk-modifying loci, we performed a multi-stage GWAS of 11,705 BRCA1 carriers (of whom 5,920 were diagnosed with breast and 1,839 were diagnosed with ovarian cancer), with a further replication in an additional sample of 2,646 BRCA1 carriers. We identified a novel breast cancer risk modifier locus at 1q32 for BRCA1 carriers (rs2290854, P = 2.7×10-8, HR = 1.14, 95% CI: 1.09-1.20). In addition, we identified two novel ovarian cancer risk modifier loci: 17q21.31 (rs17631303, P = 1.4×10-8, HR = 1.27, 95% CI: 1.17-1.38) and 4q32.3 (rs4691139, P = 3.4×10-8, HR = 1.20, 95% CI: 1.17-1.38). The 4q32.3 locus was not associated with ovarian cancer risk in the general population or BRCA2 carriers, suggesting a BRCA1-specific associat

    Advantages of expanded universal carrier screening: what is at stake?

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    Expanded universal carrier screening (EUCS) entails a twofold expansion of long-standing (preconception) carrier screening programmes: it not only allows the simultaneous screening of a large list of diseases ('expanded'), but also refers to a pan-ethnic screening offer ('universal'). Advocates mention three main moral advantages of EUCS as compared with traditional (targeted and/or ancestry-based) forms of carrier screening: EUCS will (1) maximise opportunities for autonomous reproductive choice by informing prospective parents about a much wider array of reproductive risks; (2) provide equity of access to carrier testing services; (3) reduce the risk of stigmatisation. This empirical ethics study aims to widen this account and provide a balanced picture of the potential pros and cons of EUCS. Semi-structured interviews were conducted with 17 health (policy) professionals and representatives of patient organisations about their views on carrier screening including a possible EUCS scenario. Stakeholders acknowledged the potential benefits of EUCS, but also expressed five main moral concerns: (1) Does EUCS respond to an urgent problem or population need? (2) Is it possible to offer couples both understandable and sufficient information about EUCS? (3) How will societal views on 'reproductive responsibility' change as a result of EUCS? (4) Will EUCS lead to a lower level of care for high-risk populations? (5) Will EUCS reinforce disability-based stigmatisation? While having the potential to overcome some moral limits inherent in traditional carrier screening, EUCS comes with moral challenges of its own. More research is needed to (further) anticipate the ethical and practical consequences of EUCS

    Identification of six new susceptibility loci for invasive epithelial ovarian cancer.

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    Mapping of the 17q21 locus.

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    <p><i>Top 3 panels:</i> P-values of association (−log<sub>10</sub> scale) with ovarian cancer risk for genotyped and imputed SNPs (1000 Genomes Project CEU), by chromosome position (b.37) at the 17q21 region, for <i>BRCA1</i>, <i>BRCA2</i> mutation carriers and combined. Results based on the kinship-adjusted score test statistic (1 d.f.). <i>Fourth panel:</i> Genes in the region spanning (43.4–44.9 Mb, b.37) and the location of the most significant genotyped SNPs (in red font) and imputed SNPs (in black font). <i>Bottom panel:</i> Pairwise r<sup>2</sup> values for genotyped SNPs on iCOG array in the 17q21 region covering positions (43.4–44.9 Mb, b.37).</p

    Study design for selection of the SNPs and genotyping of <i>BRCA1</i> samples.

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    <p>GWAS data from 2,727 <i>BRCA1</i> mutation carriers were analysed for associations with breast and ovarian cancer risk and 32,557 SNPs were selected for inclusion on the iCOGS array. A total of 11,705 <i>BRCA1</i> samples (after quality control (QC) checks) were genotyped on the 31,812 <i>BRCA1</i>-GWAS SNPs from the iCOGS array that passed QC. Of these samples, 2,387 had been genotyped at the SNP selection stage and are referred to as “stage 1” samples, whereas 9,318 samples were unique to the iCOGS study (“Stage 2” samples). Next, 17 SNPs that exhibited the most significant associations with breast and ovarian cancer were selected for genotyping in a third stage involving an additional 2,646 <i>BRCA1</i> samples (after QC).</p

    Predicted breast and ovarian cancer absolute risks for <i>BRCA1</i> mutation carriers at the 5<sup>th</sup>, 10<sup>th</sup>, 90<sup>th</sup>, and 95<sup>th</sup> percentiles of the combined SNP profile distributions.

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    <p>The minimum, maximum and average risks are also shown. Predicted cancer risks are based on the associations of known breast or ovarian cancer susceptibility loci (identified through GWAS) with cancer risk for <i>BRCA1</i> mutation carriers and loci identified through the present study. Breast cancer risks based on the associations with: 1q32, 10q25.3, 19p13, 6q25.1, 12p11, <i>TOX3</i>, 2q35, <i>LSP1</i>, <i>RAD51L1</i> (based on HR and minor allele frequency estimates from <a href="http://www.plosgenetics.org/article/info:doi/10.1371/journal.pgen.1003212#pgen-1003212-t001" target="_blank">Table 1</a>, <a href="http://www.plosgenetics.org/article/info:doi/10.1371/journal.pgen.1003212#pgen-1003212-t002" target="_blank">Table 2</a>, and <a href="http://www.plosgenetics.org/article/info:doi/10.1371/journal.pgen.1003212#pgen.1003212.s016" target="_blank">Table S4</a>) and <i>TERT </i><a href="http://www.plosgenetics.org/article/info:doi/10.1371/journal.pgen.1003212#pgen.1003212-Bojesen1" target="_blank">[31]</a>. Ovarian cancer risks based on the associations with: 9p22, 8q24, 3q25, 17q21, 19p13 (<a href="http://www.plosgenetics.org/article/info:doi/10.1371/journal.pgen.1003212#pgen-1003212-t001" target="_blank">Table 1</a>) and 17q21.31, 4q32.3 (<a href="http://www.plosgenetics.org/article/info:doi/10.1371/journal.pgen.1003212#pgen-1003212-t002" target="_blank">Table 2</a>). Only the top SNP from each region was chosen. Average breast and ovarian cancer risks were obtained from published data <a href="http://www.plosgenetics.org/article/info:doi/10.1371/journal.pgen.1003212#pgen.1003212-Antoniou10" target="_blank">[25]</a>. The methods for calculating the predicted risks have been described previously <a href="http://www.plosgenetics.org/article/info:doi/10.1371/journal.pgen.1003212#pgen.1003212-Antoniou11" target="_blank">[28]</a>.</p

    Associations with SNPs at the novel 17q21 region with ovarian cancer risk for <i>BRCA1</i> and <i>BRCA2</i> mutation carriers.

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    *<p>HRs estimated under the single disease risk model.</p
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