4 research outputs found

    SNP-Based Genetic Linkage Map of Soybean Using the SoySNP6K Illumina Infinium BeadChip Genotyping Array

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    This study reports a high density genetic linkage map based on the ‘Maryland 96-5722’ by ‘Spencer’ recombinant inbred line (RIL) population of soybean [Glycine max (L.) Merr.] and constructed exclusively with single nucleotide polymorphism (SNP) markers. The Illumina Infinium SoySNP6K BeadChip genotyping array produced 5,376 SNPs in the mapping population, with a 96.75% success rate. Significant level of goodness-of-fit for each locus was tested based on the observed vs. expected ratio (1:1). Out of 5,376 markers, 1,465 SNPs fit the 1:1 segregation rate having ≤20% missing data plus heterozygosity among the RILs. Among this 1,456 just 657 were polymorphic between the parents DNAs tested. These 657 SNPs were mapped using the JoinMap 4.0 software and 550 SNPs were distributed on 16 linkage groups (LGs) among the 20 chromosomes of the soybean genome. The total map length was just 201.57 centiMorgans (cM) with an average marker density of 0.37 cM. This is one of the high density SNP-based genetic linkage maps of soybean that will be used by the scientific community to map quantitative trait loci (QTL) and identify candidate genes for important agronomic traits in soybean

    Literary Agents: Past, Present and Future.

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    Health care-related transportation insecurity is associated with adverse health outcomes among adults with chronic liver disease

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    Background:Health care-related transportation insecurity (delayed or forgone medical care due to transportation barriers) is being increasingly recognized as a social risk factor affecting health outcomes. We estimated the national burden and adverse outcomes of health care-related transportation insecurity among US adults with chronic liver disease (CLD). Methods: Using the U.S. National Health Interview Survey from 2014 to 2018, we identified adults with self-reported CLD. We used complex weighted survey analysis to obtain national estimates of health care-related transportation insecurity. We examined the associations between health care-related transportation insecurity and health care-related financial insecurity, food insecurity, self-reported health status, work productivity, health care use, and mortality. Results: Of the 3643 (representing 5.2 million) US adults with CLD, 267 [representing 307,628 (6%; 95% CI: 5%-7%)] reported health care-related transportation insecurity. Adults with CLD experiencing health care-related transportation insecurity had 3.5 times higher odds of cost-related medication nonadherence [aOR, 3.5; (2.4-5.0)], 3.5 times higher odds of food insecurity [aOR, 3.5; (2.4-5.3)], 2.5 times higher odds of worsening self-reported health status over the past year [aOR, 2.5; (1.7-3.7)], 3.1 times higher odds of being unable to work due to poor health over the past year [aOR, 3.1; (2.0-4.9)], and 1.7 times higher odds of being in a higher-risk category group for number of hospitalizations annually [aOR, 1.7; (1.2-2.5)]. Health care-related transportation insecurity was independently associated with mortality after controlling for age, income, insurance status, comorbidity burden, financial insecurity, and food insecurity [aHR, 1.7; (1.4-2.0)]. Conclusions: Health care-related transportation insecurity is a critical social risk factor that is associated with health care-related financial insecurity, food insecurity, poorer self-reported health status and work productivity, and increased health care use and mortality among US adults with CLD. Efforts to screen for and reduce health care-related transportation insecurity are warranted
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