Although genetic diversity has a cardinal role in domestication, abundant natural allelic variations across the rice genome that cause agronomically important differences between diverse varieties have not been fully explored. Here we implement an approach integrating genome-wide association testing with functional analysis on grain size in a diverse rice population. We report that a major quantitative trait locus, GLW7, encoding the plant-specific transcription factor OsSPL13, positively regulates cell size in the grain hull, resulting in enhanced rice grain length and yield. We determine that a tandem-repeat sequence in the 5' UTR of OsSPL13 alters its expression by affecting transcription and translation and that high expression of OsSPL13 is associated with large grains in tropical japonica rice. Further analysis indicates that the large-grain allele of GLW7 in tropical japonica rice was introgressed from indica varieties under artificial selection. Our study demonstrates that new genes can be effectively identified on the basis of genome-wide association data.

The rich genetic diversity in Oryza sativa and Oryza rufipogon serves as the main sources in rice breeding. Large-scale resequencing has been undertaken to discover allelic variants in rice, but much of the information for genetic variation is often lost by direct mapping of short sequence reads onto the O. sativa japonica Nipponbare reference genome. Here we constructed a pan-genome dataset of the O. sativa-O. rufipogon species complex through deep sequencing and de novo assembly of 66 divergent accessions. Intergenomic comparisons identified 23 million sequence variants in the rice genome. This catalog of sequence variations includes many known quantitative trait nucleotides and will be helpful in pinpointing new causal variants that underlie complex traits. In particular, we systemically investigated the whole set of coding genes using this pan-genome data, which revealed extensive presence and absence of variation among rice accessions. This pan-genome resource will further promote evolutionary and functional studies in rice.

PurposeTo measure and analyse national EQ-5D data and to provide norms for the Chinese general population by age, sex, educational level, income and employment status.MethodsThe EQ-5D instrument was included in the National Health Services Survey 2008 (n = 120,703) to measure health-related quality of life (HRQoL). All descriptive analyses by socio-economic status (educational level, income and employment status) and by clinical characteristics (discomfort during the past 2 weeks, diagnosed with chronic diseases during the past 6 months and hospitalised during the past 12 months) were stratified by sex and age group.ResultsHealth status declines with advancing age, and women reported worse health status than men, which is in line with EQ-5D population health studies in other countries and previous population health studies in China. The EQ-5D instrument distinguished well for the known groups: positive association between socio-economic status and HRQoL was observed among the Chinese population. Persons with clinical characteristics had worse HRQoL than those without.ConclusionsThis study provides Chinese population HRQoL data measured by the EQ-5D instrument, based on a national representative sample. The main findings for different subgroups are consistent with results from EQ-5D population studies in other countries, and discriminative validity was supported.Electronic supplementary materialThe online version of this article (doi:10.1007/s11136-010-9762-x) contains supplementary material, which is available to authorized users.

No abstract

In response to the COVID-19 pandemic, governments have implemented a wide range of nonpharmaceutical interventions (NPIs). Monitoring and documenting government strategies during the COVID-19 crisis is crucial to understand the progression of the epidemic. Following a content analysis strategy of existing public information sources, we developed a specific hierarchical coding scheme for NPIs. We generated a comprehensive structured dataset of government interventions and their respective timelines of implementation. To improve transparency and motivate collaborative validation process, information sources are shared via an open library. We also provide codes that enable users to visualise the dataset. Standardization and structure of the dataset facilitate inter-country comparison and the assessment of the impacts of different NPI categories on the epidemic parameters, population health indicators, the economy, and human rights, among others. This dataset provides an in-depth insight of the government strategies and can be a valuable tool for developing relevant preparedness plans for pandemic. We intend to further develop and update this dataset until the end of December 2020.

Purpose: to measure, describe and analyse regional differences in health-related quality of life measured by EQ-5D in China. Data were obtained via face-to-face interviews on a national representative sample (n=120,703, 15-103 years). The EQ-5D instrument was used to measure health status. Results: Rural areas had worse health status than urban areas. Health status was worst in western areas and best in eastern areas, and such disparities were profounder in rural areas. In urban areas, health status was best in middle-sized cities. In rural areas, health status increased with the economic development level of a county. Conclusion: Our study enhances understanding of the urban-rural differences and east-middle-west differences in health and sheds light on inequalities in health status between different city categories in the urban areas and county categories in the rural areas.

In response to the COVID-19 pandemic, governments have implemented a wide range of nonpharmaceutical interventions (NPIs). Monitoring and documenting government strategies during the COVID-19 crisis is crucial to understand the progression of the epidemic. Following a content analysis strategy of existing public information sources, we developed a specific hierarchical coding scheme for NPIs. We generated a comprehensive structured dataset of government interventions and their respective timelines of implementation. To improve transparency and motivate collaborative validation process, information sources are shared via an open library. We also provide codes that enable users to visualise the dataset. Standardization and structure of the dataset facilitate inter-country comparison and the assessment of the impacts of different NPI categories on the epidemic parameters, population health indicators, the economy, and human rights, among others. This dataset provides an in-depth insight of the government strategies and can be a valuable tool for developing relevant preparedness plans for pandemic. We intend to further develop and update this dataset on a weekly basis until the end of December 2020.

Background: In the 1990s, China introduced a "free" tuberculosis (TB) care policy under the national TB control program. Recently, as a part of a new TB diagnosis and treatment model, it has been recommended that the integrated model scale up. This paper examines whether or not TB designated hospitals in the selected project sites have provided TB care according to the national and local guidelines, and analyzes the actual practices and expenditures involved in completing TB treatment. It also explores the reasons why "free" TB care in China cannot be effectively implemented under the integrated model. Methods:This study was conducted in three counties of Zhenjiang city, Jiangsu province. Mixed methods were used, which comprised reviewing the national and local TB control guidelines, conducting TB patient surveys, collecting TB inpatient and outpatient hospital records, and conducting qualitative interviews with stakeholders. Descriptive statistics were used for quantitative data analysis across counties and in order to compare patients who received only outpatient care and those who received both outpatient and inpatient care. The chi-square test and analysis of variance were performed where necessary. Qualitative data were analyzed using the framework approach. Results: Although the national TB care guidelines recommend outpatient care as a basis for TB treatment in China, we found high hospital admission rates for TB patients ranging from 39 % in Yangzhong county to 83 % in Dantu county. Almost all outpatient TB patients paid for lab tests and over 80 % paid for liver protection drugs and around 70 % paid for image examinations. These three components accounted for three-quarters of the total outpatient expenditure. For patients who received only outpatient care, the total expenditure upon completion of TB treatment was on average 1,135 Chinese yuan. For patients who received outpatient and inpatient care, the total expenditure upon completion of TB treatment was 11,117 Chinese yuan. Conclusion:The "free" TB care policy under the integrated model has not been effectively implemented in China. There has been substantial spending on non-recommended services, examinations, and drugs for TB treatment.