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https://www.selleckchem.com/ indianus, indicating that invasion not only affects amounts of genetic diversity, but also how that diversity is distributed across the genome. Finally, we use parameter estimates from thermal performance curves measured for 13 species of Zaprionus to show that Z. indianus has the broadest thermal niche of measured species, and that performance does not differ between invasive and native populations. These results illustrate how aspects of genetic diversity in invasive species can be decoupled from measures of fitness, and that a broad thermal niche may have helped facilitate Z. indianus's range expansion. © The Author(s) 2020. Published by Oxford University Press on behalf of the Society for Molecular Biology and Evolution.CONTEXT Several statistical models were introduced for prediction of age at menopause using a single measurement of Anti Mullerian Hormone (AMH), however individual prediction is challenging and need to be improved. OBJECTIVE Whether multiple AMH measurements can improve the prediction of age at menopause. DESIGN All eligible reproductive aged women (n=959) were selected from the Tehran Lipid and Glucose Study. The serum concentration of AMH was measured at the time of recruitment and twice after that with on average 6 years interval. An accelerated failure time model with Weibull distribution was used to predict age at menopause, using a single AMH value versus model included annual AMH decline rate. The adequacy of these models was assessed using C-statistics. RESULTS The median follow-up period was 14 years and 529 women reached menopause. Adding the annual decline rate to the model included single AMH, improved the model discrimination's adequacy from 70% (95% CI 67% to 71%) to 78% (95%CI 75% to 80%) in terms of c-statistic. The median of differences between actual and predicted age at menopause for the first model was -0.48 years and decreased to -0.21in model including decline rate. The predicted age at menopaus

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