ArticleGenome biology2015
Evaluating intra- and inter-individual variation in the human placental transcriptome.
Article in Genome biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 2 of them syntheses that pooled it.
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Who cites it
32 citing papers in PubMed, 2 syntheses or guidelines pooled it, 63 citations in OpenAlex.
- Current approaches and developments in transcript profiling of the human placenta.Human reproduction update · 2020Pooled it
- Gestational tissue transcriptomics in term and preterm human pregnancies: a systematic review and meta-analysis.BMC medical genomics · 2015Pooled it
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- Placental transcriptome profiling in congenital Chagas disease: gene networks associated with transmission.Frontiers in cellular and infection microbiology · 2026Article
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- The Molecular Biology of Placental Transport of Calcium to the Human Foetus.International journal of molecular sciences · 2025Review
- Genes with differential expression across ancestries are enriched in ancestry-specific disease effects likely due to gene-by-environment interactions.American journal of human genetics · 2024Article
- Ancestry-specific regulatory and disease architectures are likely due to cell-type-specific gene-by-environment interactions.medRxiv : the preprint server for health sciences · 2023Article
- From Evolutionary History to the Concepts of Race and Ancestry: Shifting Our Perspective in Clinical Research.Biological psychiatry · 2022Article
- Small Non-Coding RNAs in the Human Placenta: Regulatory Roles and Clinical Utility.Frontiers in genetics · 2022Review
- Variability of multi-omics profiles in a population-based child cohort.BMC medicine · 2021Article
- Variation of microRNA expression in the human placenta driven by population identity and sex of the newborn.BMC genomics · 2021Article
- Article
- Glycogenes in Oncofetal Chondroitin Sulfate Biosynthesis are Differently Expressed and Correlated With Immune Response in Placenta and Colorectal Cancer.Frontiers in cell and developmental biology · 2021Article
- Identification of Genes Universally Differentially Expressed in Gastric Cancer.BioMed research international · 2021Article
- Identification of immune-enhanced molecular subtype associated with BRCA1 mutations, immune checkpoints and clinical outcome in ovarian carcinoma.Journal of cellular and molecular medicine · 2020Article
- Temporal Stability and Prognostic Biomarker Potential of the Prostate Cancer Urine miRNA Transcriptome.Journal of the National Cancer Institute · 2020Article
- Global variability analysis of mRNA and protein concentrations across and within human tissues.NAR genomics and bioinformatics · 2020Article
- Differences in lipidome and metabolome organization of prefrontal cortex among human populations.Scientific reports · 2019Article
- Transcriptome variation in human populations and its potential application in forensics.Journal of applied genetics · 2019Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 5 institutions in 4 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundGene expression variation is a phenotypic trait of particular interest as it represents the initial link between genotype and other phenotypes. Analyzing how such variation apportions among and within groups allows for the evaluation of how genetic and environmental factors influence such traits. It also provides opportunities to identify genes and pathways that may have been influenced by non-neutral processes. Here we use a population genetics framework and next generation sequencing to evaluate how gene expression variation is apportioned among four human groups in a natural biological tissue, the placenta.
resultsWe estimate that on average, 33.2%, 58.9%, and 7.8% of the placental transcriptome is explained by variation within individuals, among individuals, and among human groups, respectively. Additionally, when technical and biological traits are included in models of gene expression they each account for roughly 2% of total gene expression variation. Notably, the variation that is significantly different among groups is enriched in biological pathways associated with immune response, cell signaling, and metabolism. Many biological traits demonstrate correlated changes in expression in numerous pathways of potential interest to clinicians and evolutionary biologists. Finally, we estimate that the majority of the human placental transcriptome exhibits expression profiles consistent with neutrality; the remainder are consistent with stabilizing selection, directional selection, or diversifying selection.
conclusionsWe apportion placental gene expression variation into individual, population, and biological trait factors and identify how each influence the transcriptome. Additionally, we advance methods to associate expression profiles with different forms of selection.
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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.