214 research outputs found

    Elite education and social capital

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    Gender egalitarianism, perceived economic insecurity, and fertility intentions in Spain : a qualitative analysis

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    This work was supported by the Horizon 2020Research and Innovation Framework Programmeunder the H2020 Marie Skłodowska-Curie ActionsGrant Agreement No. 657030 to Xiana Bueno and by National Science Foundation grant #SES1123885 to Mary C. Brinton.Altres ajuts: NSF/SES1123885Economic uncertainty contributes to low fertility in many European countries. On the other hand, greater gender equality may positively influence fertility. This paper examines how these two forces interact in Spain. We use in-depth interviews to analyse fertility decision-making among young and highly educated partnered adults living in urban areas. Highly gender-egalitarian interviewees are less likely to perceive economic insecurity as an obstacle to proceeding to a next birth than less egalitarian interviewees. But there is not necessarily a difference in these two groups' overall fertility intentions, as highly egalitarian interviewees' greater valuation of stable employment for both partners requires institutional and policy support for dual-earner couples' childrearing. When we look only at interviewees who express economic insecurity, somewhat higher fertility intentions are expressed by those holding less gender-egalitarian attitudes. Our results underline the complexity of the interrelationships between economic insecurity, gender egalitarianism, and fertility intentions

    Micro-class mobility: social reproduction in four countries

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    In the sociological literature on social mobility, the long-standing convention has been to assume that intergenerational reproduction takes one of two forms, either a categorical form that has parents passing on a big-class position to their children, or a gradational form that has parents passing on their socioeconomic standing to their children. These conventional approaches ignore in their own ways the important role that occupations play in transferring advantage and disadvantage from one generation to the next. In log-linear analyses of nationally representative data from the United States, Sweden, Germany, and Japan, we show that (a) occupations are an important conduit for reproduction, (b) the most extreme rigidities in the mobility regime are only revealed when analyses are carried out at the detailed occupational level, and (c) much of what shows up as big-class reproduction in conventional mobility analyses is in fact occupational reproduction in disguise. Although the four countries studied here differ in the extent to which the occupational form has been institutionalized, we show that it is too prominent to ignore in any of these countries. Even in Japan, which has long been regarded as distinctively 'deoccupationalized,' we find evidence of extreme occupational rigidities. These results suggest that an occupational mechanism for reproduction may be a fundamental feature of all contemporary mobility regimes. [author's abstract

    Postindustrial fertility ideals, intentions, and gender inequality : a comparative qualitative analysis

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    We are grateful for financial support from the National Science Foundation (grant no. SES1123885) to Mary Brinton for the Japanese, Spanish, and U.S. portions of the project and from the Reischauer Institute of Japanese Studies and the Weatherhead Center for International Affairs at Harvard University for additional support of the Japan portion of the project. We also appreciate the financial support from the Agency for Administration of University and Research Grants (grant # 2013-BP-A-00043) and from the European Union's Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie Grant Agreement No. 657030 to Xiana Bueno for the Spanish portion of the project, and the financial support from Riksbankens Jubileumsfond/Swedish Foundation for the Humanities and Social Sciences (grant no. P11-1049:1) to Livia Oláh for the Swedish portion. An earlier draft of the paper benefited from the constructive comments of Eunsil Oh, Yun Zhou, and an anonymous reviewer.Altres ajuts: RJ/P11-1049:1Altres ajuts: NSF/SES1123885Fertility ideals remain centered on two children in most postindustrial societies, presenting a puzzle for demographers interested in very low fertility. This paper explores the conditions producing a gap between fertility ideals and intentions among young highly-educated adults in different postindustrial contexts. We employ in-depth interviews to analyze reasoning about fertility ideals and intentions in two countries with very low fertility (Japan and Spain) and two with slightly higher fertility (the U.S. and Sweden). We find that American and Swedish female interviewees are more likely than those in Japan and Spain to cite work-family conflict as a reason for their ideals-intentions gap. Our results also suggest that gender inequality is more important in generating low fertility intentions among highly-educated interviewees in Japan than Spain. Taken together, these findings suggest complexities in how gender inequality affects fertility intentions among the highly-educated in postindustrial contexts

    Female Chromosome X Mosaicism is Age-Related and Preferentially Affects the Inactivated X Chromosome

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    To investigate large structural clonal mosaicism of chromosome X, we analysed the SNP microarray intensity data of 38,303 women from cancer genome-wide association studies (20,878 cases and 17,425 controls) and detected 124 mosaic X events 4 2 Mb in 97 (0.25%) women. Here we show rates for X-chromosome mosaicism are four times higher than mean autosomal rates; X mosaic events more often include the entire chromosome and participants with X events more likely harbour autosomal mosaic events. X mosaicism frequency increases with age (0.11% in 50-year olds; 0.45% in 75-year olds), as reported for Y and autosomes. Methylation array analyses of 33 women with X mosaicism indicate events preferentially involve the inactive X chromosome. Our results provide further evidence that the sex chromosomes undergo mosaic events more frequently than autosomes, which could have implications for understanding the underlying mechanisms of mosaic events and their possible contribution to risk for chronic diseases

    Ovarian cancer risk factors by tumor aggressiveness : An analysis from the Ovarian Cancer Cohort Consortium

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    Ovarian cancer risk factors differ by histotype; however, within subtype, there is substantial variability in outcomes. We hypothesized that risk factor profiles may influence tumor aggressiveness, defined by time between diagnosis and death, independent of histology. Among 1.3 million women from 21 prospective cohorts, 4,584 invasive epithelial ovarian cancers were identified and classified as highly aggressive (death in = 35 vs. 20 to <25 kg/m(2), 1.93 [1.46-2.56] and current smoking (vs. never, 1.30 [1.07-1.57]) were associated with increased risk of highly aggressive disease. Results were similar within histotypes. Ovarian cancer risk factors may be directly associated with subtypes defined by tumor aggressiveness, rather than through differential effects on histology. Studies to assess biological pathways are warranted.Peer reviewe

    Assessing the genetic architecture of epithelial ovarian cancer histological subtypes.

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    Epithelial ovarian cancer (EOC) is one of the deadliest common cancers. The five most common types of disease are high-grade and low-grade serous, endometrioid, mucinous and clear cell carcinoma. Each of these subtypes present distinct molecular pathogeneses and sensitivities to treatments. Recent studies show that certain genetic variants confer susceptibility to all subtypes while other variants are subtype-specific. Here, we perform an extensive analysis of the genetic architecture of EOC subtypes. To this end, we used data of 10,014 invasive EOC patients and 21,233 controls from the Ovarian Cancer Association Consortium genotyped in the iCOGS array (211,155 SNPs). We estimate the array heritability (attributable to variants tagged on arrays) of each subtype and their genetic correlations. We also look for genetic overlaps with factors such as obesity, smoking behaviors, diabetes, age at menarche and height. We estimated the array heritabilities of high-grade serous disease ([Formula: see text] = 8.8 ± 1.1 %), endometrioid ([Formula: see text] = 3.2 ± 1.6 %), clear cell ([Formula: see text] = 6.7 ± 3.3 %) and all EOC ([Formula: see text] = 5.6 ± 0.6 %). Known associated loci contributed approximately 40 % of the total array heritability for each subtype. The contribution of each chromosome to the total heritability was not proportional to chromosome size. Through bivariate and cross-trait LD score regression, we found evidence of shared genetic backgrounds between the three high-grade subtypes: serous, endometrioid and undifferentiated. Finally, we found significant genetic correlations of all EOC with diabetes and obesity using a polygenic prediction approach.The Ovarian Cancer Association Consortium is supported by a grant from the Ovarian Cancer Research Fund thanks to donations by the family and friends of Kathryn Sladek Smith (PPD/RPCI.07). The Nurses’ Health Studies would like to thank the participants and staff of the Nurses' Health Study and Nurses' Health Study II for their valuable contributions as well as the following state cancer registries for their help: AL, AZ, AR, CA, CO, CT, DE, FL, GA, ID, IL, IN, IA, KY, LA, ME, MD, MA, MI, NE, NH, NJ, NY, NC, ND, OH, OK, OR, PA, RI, SC, TN, TX, VA, WA, WY. The authors assume full responsibility for analyses and interpretation of these data. Funding of the constituent studies was provided by the California Cancer Research Program (00-01389V-20170, N01-CN25403, 2II0200); the Canadian Institutes of Health Research (MOP-86727); Cancer Australia; Cancer Council Victoria; Cancer Council Queensland; Cancer Council New South Wales; Cancer Council South Australia; Cancer Council Tasmania; Cancer Foundation of Western Australia; the Cancer Institute of New Jersey; Cancer Research UK (C490/A6187, C490/A10119, C490/A10124); the Danish Cancer Society (94-222-52); the ELAN Program of the University of Erlangen-Nuremberg; the Eve Appeal; the Helsinki University Central Hospital Research Fund; Helse Vest; the Norwegian Cancer Society; the Norwegian Research Council; the Ovarian Cancer Research Fund; Nationaal Kankerplan of Belgium; the L & S Milken Foundation; the Polish Ministry of Science and Higher Education (4 PO5C 028 14, 2 PO5A 068 27); the Roswell Park Cancer Institute Alliance Foundation; the US National Cancer Institute (K07-CA095666, K07-CA80668, K07-CA143047, K22-CA138563, N01-CN55424, N01-PC67001, N01-PC067010, N01-PC035137, P01-CA017054, P01-CA087696, P30-CA072720, P30-CA15083, P30-CA008748, P50-CA159981, P50-CA105009, P50-CA136393, R01-CA149429, R01-CA014089, R01-CA016056, R01-CA017054, R01-CA049449, R01-CA050385, R01-CA054419, R01-CA058598, R01-CA058860, R01-CA061107, R01-CA061132, R01-CA063678, R01-CA063682, R01-CA067262, R01-CA071766, R01-CA074850, R01-CA080978, R01-CA083918, R01-CA087538, R01-CA092044, R01-CA095023, R01-CA122443, R01-CA112523, R01-CA114343, R01-CA126841, R01-CA136924, R03-CA113148, R03-CA115195, U01-CA069417, U01-CA071966, UM1-CA186107, UM1-CA176726 and Intramural research funds); the NIH/National Center for Research Resources/General Clinical Research Center (MO1-RR000056); the US Army Medical Research and Material Command (DAMD17-01-1-0729, DAMD17-02-1-0666, DAMD17-02-1-0669, W81XWH-07-0449, W81XWH-10-1-02802); the US Public Health Service (PSA-042205); the National Health and Medical Research Council of Australia (199600 and 400281); the German Federal Ministry of Education and Research of Germany Programme of Clinical Biomedical Research (01GB 9401); the State of Baden-Wurttemberg through Medical Faculty of the University of Ulm (P.685); the German Cancer Research Center; the Minnesota Ovarian Cancer Alliance; the Mayo Foundation; the Fred C. and Katherine B. Andersen Foundation; the Lon V. Smith Foundation (LVS-39420); the Oak Foundation; Eve Appeal; the OHSU Foundation; the Mermaid I project; the Rudolf-Bartling Foundation; the UK National Institute for Health Research Biomedical Research Centres at the University of Cambridge, Imperial College London, University College Hospital ‘Womens Health Theme’ and the Royal Marsden Hospital; and WorkSafeBC 14. Investigator-specific funding: G.C.P receives scholarship support from the University of Queensland and QIMR Berghofer. Y.L. was supported by the NHMRC Early Career Fellowship. G.C.T. is supported by the National Health and Medical Research Council. S.M. was supported by an ARC Future Fellowship

    Enrichment of putative PAX8 target genes at serous epithelial ovarian cancer susceptibility loci

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    Background: Genome-wide association studies (GWAS) have identified 18 loci associated with serous ovarian cancer (SOC) susceptibility but the biological mechanisms driving these findings remain poorly characterised. Germline cancer risk loci may be enriched for target genes of transcription factors (TFs) critical to somatic tumorigenesis. Methods: All 615 TF-target sets from the Molecular Signatures Database were evaluated using gene set enrichment analysis (GSEA) and three GWAS for SOC risk: discovery (2196 cases/4396 controls), replication (7035 cases/21 693 controls; independent from discovery), and combined (9627 cases/30 845 controls; including additional individuals). Results: The PAX8-target gene set was ranked 1/615 in the discovery (PGSEA&lt;0.001; FDR=0.21), 7/615 in the replication (PGSEA=0.004; FDR=0.37), and 1/615 in the combined (PGSEA&lt;0.001; FDR=0.21) studies. Adding other genes reported to interact with PAX8 in the literature to the PAX8-target set and applying an alternative to GSEA, interval enrichment, further confirmed this association (P=0.006). Fifteen of the 157 genes from this expanded PAX8 pathway were near eight loci associated with SOC risk at P&lt;10−5 (including six with P&lt;5 × 10−8). The pathway was also associated with differential gene expression after shRNA-mediated silencing of PAX8 in HeyA8 (PGSEA=0.025) and IGROV1 (PGSEA=0.004) SOC cells and several PAX8 targets near SOC risk loci demonstrated in vitro transcriptomic perturbation. Conclusions: Putative PAX8 target genes are enriched for common SOC risk variants. This finding from our agnostic evaluation is of particular interest given that PAX8 is well-established as a specific marker for the cell of origin of SOC
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