Y chromosome short tandem repeats (Y-STRs) are valuable genetic markers in certain areas of forensic case-work. However, when the Y-STR DNA profile is weak, the observed Y-STR profile may not be complete--i.e. locus drop-out may have occurred. Another explanation could be that the stain DNA did not have a Y-STR allele that was detectable with the method used (the allele is a 'null allele'). If the Y-STR profile of a stain is strong, one would be reluctant to consider drop-out as a reasonable explanation of lack of a Y-STR allele and would maybe consider 'null allele' as an explanation. On the other hand, if the signal strengths are weak, one would most likely accept drop-out as a possible explanation. We created a logistic regression model to estimate the probability of allele drop-out with the Life Technologies/Applied Biosystems AmpFlSTR(®) Yfiler(®) kit such that the trade-off between drop-outs and null alleles could be quantified using a statistical model. The model to estimate the probability of drop-out uses information about locus imbalances, signal strength, the number of PCR cycles, and the fragment size of Yfiler. We made two temporarily separated experiments and found no evidence of temporal variation in the probability of drop-out. Using our model, we found that for 30 PCR cycles with a 150 bp allele, the probability of drop-out was 1:5000 corresponding to the average estimate of the probability of Y-STR null alleles at a signal strength of 1249 RFU. This means that the probability of a null allele is higher than that of an allele drop-out at e.g. 4000 RFU and the probability of drop-out is higher than that of a null allele at e.g. 75 RFU.
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http://dx.doi.org/10.1016/j.fsigen.2013.01.005 | DOI Listing |
Cureus
November 2024
Physiology, Lahore Medical and Dental College, Lahore, PAK.
Introduction: Medical student dropout is characterized by the early exit from the medical college prior to graduation. The dropout ratio fluctuates globally and is influenced by factors, such as academic demands, individual characteristics, and insufficient work-life balance, which contribute to thoughts of dropping out. This study sought to evaluate the frequency of dropout ideation and influencing factors among medical students at Lahore Medical and Dental College (LMDC).
View Article and Find Full Text PDFBiometrics
October 2024
Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, MA 02115, United States.
Analyses of cluster randomized trials (CRTs) can be complicated by informative missing outcome data. Methods such as inverse probability weighted generalized estimating equations have been proposed to account for informative missingness by weighing the observed individual outcome data in each cluster. These existing methods have focused on settings where missingness occurs at the individual level and each cluster has partially or fully observed individual outcomes.
View Article and Find Full Text PDFTher Adv Cardiovasc Dis
November 2024
Cardiology and Cardiovascular Pathophysiology, S. Maria Della Misericordia Hospital, University of Perugia, Perugia, Italy.
Background: Sacubitril/valsartan (S/V) is a cornerstone treatment for heart failure (HF). Beneficial effects on hospitalization rates, mortality, and left ventricular remodeling have been observed in patients with heart failure and reduced ejection fraction (HFrEF). Despite the positive results, the influence of S/V on renal function during long-term follow-up has received little attention.
View Article and Find Full Text PDFInteract J Med Res
November 2024
RAND Health Care, RAND Corporation, Santa Monica, CA, United States.
Background: Surveys of internet panels such as Amazon's Mechanical Turk (MTurk) are common in health research. Nonresponse in longitudinal studies can limit inferences about change over time.
Objective: This study aimed to (1) describe the patterns of survey responses and nonresponse among MTurk members with back pain, (2) identify factors associated with survey response over time, (3) assess the impact of nonresponse on sample characteristics, and (4) assess how well inverse probability weighting can account for differences in sample composition.
Forensic Sci Int Genet
January 2025
China National Center for Bioinformation, Beijing 100101, China; Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China; School of Future Technology, University of Chinese Academy of Sciences, Beijing 100049, China; CAS Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming 650223, China. Electronic address:
The analysis of STR mixture profiles derived from mixed DNA samples plays a critical role in criminal investigations and legal proceedings. In this article, we present SMART, a novel software developed within the fully continuous model framework to analyze STR mixture profiles. SMART incorporates the peak height model, stutter model, drop-in/drop-out model, and population genetics model, offering various functionalities such as calculating likelihood ratios (LR), resolving genotypes of individual contributors, and performing direct database searches using mixed DNA profiles.
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