scholarly journals Actionable clinical decisions based on comprehensive genomic evaluation in asymptomatic adults

2015 ◽  
Vol 3 (5) ◽  
pp. 433-439 ◽  
Author(s):  
Nir Pillar ◽  
Ofer Isakov ◽  
Daphna Weissglas‐Volkov ◽  
Shay Botchan ◽  
Eitan Friedman ◽  
...  
Keyword(s):  
Clinical Decisions ◽  
Genomic Evaluation

Much Ado About Fried Chicken: Abetting Aspiration or Respecting Autonomy?

2019 ◽  
Vol 28 (3) ◽  
pp. 1356-1362
Author(s):  
Laurence Tan Lean Chin ◽  
Yu Jun Lim ◽  
Wan Ling Choo
Keyword(s):  
Palliative Care ◽  
End Of Life ◽  
Multidisciplinary Team ◽  
Biopsychosocial Model ◽  
Family Members ◽  
Clinical Decisions ◽  
Goals Of Care ◽  
Complex Needs ◽  
Aspiration Risk ◽  
Patient Centric

Purpose Palliative care is a philosophy of care that encompasses holistic, patient-centric care involving patients and their family members and loved ones. Palliative care patients often have complex needs. A common challenge in managing patients near their end of life is the complexity of navigating clinical decisions and finding achievable and realistic goals of care that are in line with the values and wishes of patients. This often results in differing opinions and conflicts within the multidisciplinary team. Conclusion This article describes a tool derived from the biopsychosocial model and the 4-quadrant ethical model. The authors describe the use of this tool in managing a patient who wishes to have fried chicken despite aspiration risk and how this tool was used to encourage discussions and reduce conflict and distress within the multidisciplinary team.

Design and Implementing Cancer Data Warehouse to Support Clinical Decisions

2017 ◽  
Author(s):  
Alaa Almansory ◽  
Hasan Adday ◽  
Taleb Obaid ◽  
Rabab Hameed
Keyword(s):  
Data Warehouse ◽  
Clinical Decisions ◽  
Cancer Data

scholarly journals Physiotherapists’ attitudes and beliefs about low back pain influence their clinical decisions and advice

2021 ◽  
pp. 102382
Author(s):  
Guillaume Christe ◽  
Jessica Nzamba ◽  
Ludovic Desarzens ◽  
Arnaud Leuba ◽  
Ben Darlow ◽  
...  
Keyword(s):  
Low Back Pain ◽  
Back Pain ◽  
Attitudes And Beliefs ◽  
Low Back ◽  
Clinical Decisions

scholarly journals 353 ASAS-EAAP Talk: Low-coverage whole-genome sequencing in local livestock breeds

2020 ◽  
Vol 98 (Supplement_4) ◽  
pp. 81-82
Author(s):  
Joaquim Casellas ◽  
Melani Martín de Hijas-Villalba ◽  
Marta Vázquez-Gómez ◽  
Samir Id Lahoucine
Keyword(s):  
Whole Genome Sequencing ◽  
Genome Sequencing ◽  
Error Rate ◽  
Allele Frequencies ◽  
Paternity Testing ◽  
Sequencing Error ◽  
Whole Genome ◽  
Genomic Evaluation ◽  
Sequencing Error Rate ◽  
Low Coverage

Abstract Current European regulations for autochthonous livestock breeds put a special emphasis on pedigree completeness, which requires laboratory paternity testing by genetic markers in most cases. This entails significant economic expenditure for breed societies and precludes other investments in breeding programs, such as genomic evaluation. Within this context, we developed paternity testing through low-coverage whole-genome data in order to reuse these data for genomic evaluation at no cost. Simulations relied on diploid genomes composed by 30 chromosomes (100 cM each) with 3,000,000 SNP per chromosome. Each population evolved during 1,000 non-overlapping generations with effective size 100, mutation rate 10–4, and recombination by Kosambi’s function. Only those populations with 1,000,000 ± 10% polymorphic SNP per chromosome in generation 1,000 were retained for further analyses, and expanded to the required number of parents and offspring. Individuals were sequenced at 0.01, 0.05, 0.1, 0.5 and 1X depth, with 100, 500, 1,000 or 10,000 base-pair reads and by assuming a random sequencing error rate per SNP between 10–2 and 10–5. Assuming known allele frequencies in the population and sequencing error rate, 0.05X depth sufficed to corroborate the true father (85,0%) and to discard other candidates (96,3%). Those percentages increased up to 99,6% and 99,9% with 0,1X depth, respectively (read length = 10,000 bp; smaller read lengths slightly improved the results because they increase the number of sequenced SNP). Results were highly sensitive to biases in allele frequencies and robust to inaccuracies regarding sequencing error rate. Low-coverage whole-genome sequencing data could be subsequently integrated into genomic BLUP equations by appropriately constructing the genomic relationship matrix. This approach increased the correlation between simulated and predicted breeding values by 1.21% (h2 = 0.25; 100 parents and 900 offspring; 0.1X depth by 10,000 bp reads). Although small, this increase opens the door to genomic evaluation in local livestock breeds.

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