ArticleNucleic acids research2019
Assessment of kinship detection using RNA-seq data.
Article in Nucleic acids research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
9 citing papers in PubMed.
- Assessment of forensic individual identification and kinship analysis using transcript SNPs derived from public transcriptome sequencing data.BMC genomics · 2026Article
- Differential peripheral immune signatures elicited by vegan versus ketogenic diets in humans.Nature medicine · 2024Article
- Tracking B cell responses to the SARS-CoV-2 mRNA-1273 vaccine.Cell reports · 2023Article
- Kimma: flexible linear mixed effects modeling with kinship covariance for RNA-seq data.Bioinformatics (Oxford, England) · 2023Article
- Human immune and gut microbial parameters associated with inter-individual variations in COVID-19 mRNA vaccine-induced immunity.Communications biology · 2023Article
- Immunopathological signatures in multisystem inflammatory syndrome in children and pediatric COVID-19.Nature medicine · 2022Article
- Genetic Diversity in Chimpanzee Transcriptomics Does Not Represent Wild Populations.Genome biology and evolution · 2021Article
- Article
- Pervasive Inter-Individual Variation in Allele-Specific Expression in Monozygotic Twins.Frontiers in genetics · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Analysis of RNA sequencing (RNA-seq) data from related individuals is widely used in clinical and molecular genetics studies. Prediction of kinship from RNA-seq data would be useful for confirming the expected relationships in family based studies and for highlighting samples from related individuals in case-control or population based studies. Currently, reconstruction of pedigrees is largely based on SNPs or microsatellites, obtained from genotyping arrays, whole genome sequencing and whole exome sequencing. Potential problems with using RNA-seq data for kinship detection are the low proportion of the genome that it covers, the highly skewed coverage of exons of different genes depending on expression level and allele-specific expression. In this study we assess the use of RNA-seq data to detect kinship between individuals, through pairwise identity by descent (IBD) estimates. First, we obtained high quality SNPs after successive filters to minimize the effects due to allelic imbalance as well as errors in sequencing, mapping and genotyping. Then, we used these SNPs to calculate pairwise IBD estimates. By analysing both real and simulated RNA-seq data we show that it is possible to identify up to second degree relationships using RNA-seq data of even low to moderate sequencing depth.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.