Objectives: To study the detection efficiency of trio full sibling with another known full sibling reference added under different number of autosomal STR typing systems.
Methods: Based on 43 detection systems consisting of 13 to 55 representative autosomal STR loci, 10 000 true families (full sibling group) and 10 000 false families (unrelated individual group) were randomly simulated. The full sibling index (FSI) was calculated based on the method of family reconstruction. The cumulative sibling relationship index (CFSI) of 0.000 1 and 10 000 were used as the evaluation thresholds, and the detection efficiency parameters were calculated and compared with the identification of the duo full sibling testing.
Results: With the increasing number of STR loci, the error rate and inability of judgement rate gradually decreased; the sensitivity, specificity, correct rate of judgment and other parameters gradually increased, and the system efficiency gradually improved. Under the same detection system, trio full sibling testing showed higher sensitivity, specificity, system efficiency and lower inability of judgement rate compared with duo full sibling testing. When the system efficiency was higher than 0.85 and inability of judgement rate was less than 0.01%, at least 20 STRs should be detected for trio full sibling testing, which was less than 29 STRs required by duo full sibling testing.
Conclusions: The detection efficiency of trio full sibling testing is superior to that of duo full sibling testing with the same detection system, which is an effective identification scheme for laboratories with inadequate detection systems or for materials with limited conditions.
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http://dx.doi.org/10.12116/j.issn.1004-5619.2023.530203 | DOI Listing |
J Epidemiol Community Health
January 2025
Helsinki Institute for Demography and Population Health, University of Helsinki, Helsinki, Finland.
Background: Low family socioeconomic position is a well-established determinant of poor health in youth. Much less is known about the social patterning of youth medication use, and the current evidence is mixed. Furthermore, previous studies have not assessed important confounders of the associations.
View Article and Find Full Text PDFRetin Cases Brief Rep
October 2024
Singapore National Eye Centre, Singapore.
Purpose: We describe an atypical presentation of an 11-year-old female with enhanced S-cone syndrome (ESCS).
Methods: Case report. The patient underwent a thorough ophthalmic examination and investigations such as colour fundus photography, optical coherence tomography, fundus autofluorescence, fluorescein and indocyanine angiography, an electroretinogram and genetic testing.
Lancet Reg Health Eur
February 2025
Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden.
Background: The evidence on the link between cardiometabolic diseases (CMDs) and motor neuron diseases (MNDs) remains inconsistent. We aimed to determine whether there is an association of CMDs, namely, any cardiovascular disease, cardiac arrhythmia, heart failure, thromboembolic disease, hypertension, cerebrovascular disease, ischemic heart disease, diabetes mellitus type 2, and hypercholesterolemia with the risk and progression of MNDs.
Methods: We included 1463 MND patients (amyotrophic lateral sclerosis (ALS), primary lateral sclerosis (PLS), progressive spinal muscular atrophy (PSMA), and unspecified MND) diagnosed from January 1, 2015, to July 1, 2023, in Sweden according to the Swedish Motor Neuron Disease Quality Registry (i.
mosquitoes are vectors of several viruses of major public health importance, and many new control strategies target mating behaviour. Mating in this species occurs in swarms characterised by male scramble competition and female choice. These mating swarms have a male-biased operational sex ratio, which is expected to generate intense competition among males for mating opportunities.
View Article and Find Full Text PDFSci Rep
December 2024
Centre for Infectious Diseases Control, National Institute for Public Health and the Environment, Bilthoven, Netherlands.
Understanding the impact of different types of social interactions is key to improving epidemic models. Here, we use extensive registry data-including PCR test results and population-level networks-to investigate the impact of school, family, and other social contacts on SARS-CoV-2 transmission in the Netherlands (June 2020-October 2021). We isolate and compare different contexts of potential SARS-CoV-2 transmission by matching pairs of students based on their attendance at the same or different primary school (in 2020) and secondary school (in 2021) and their geographic proximity.
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