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Foley, R.

Publications and source records attributed to Foley, R..

4 recordsLinked to original sources

Patterns of variation in canal and root number in human post-canine teeth

Descriptive morphology of tooth roots traditionally focuses on number of canals and roots. However, how or if canal and root number are related is poorly understood. While it is often assumed that canal number is concomitant with root number and morphology, in practice canal number and morphology do not always covary with external root features. To investigate the relationship between canal and root number, fully developed, adult post-canine teeth were examined and quantified from medical computerized tomography scans from a global sample of 945 modern humans. We tested the hypotheses that root and canal number do not follow a 1:1 ratio, that canal to root ratios differ between teeth, and that canal to root ratios differ across populations. Results indicate that not only is root number dependent on canal number, but that this relationship become more variable as canal number increases, varies both between individual teeth and by population, and changes as populations increase in distance from Sub-Saharan Africa. These results show that the ratio of canal number to root number is an important indicator of variation in dental phenotypes.

developmental biology↗

A novel system for classifying tooth root phenotypes

Human root and canal number and morphology are highly variable, and internal root canal form and count does not necessarily co-vary directly with external morphology. While several typologies and classifications have been developed to address individual components of teeth, there is a need for a comprehensive system, that captures internal and external root features across all teeth. Using CT scans, the external and internal root morphologies of a global sample of humans are analysed (n=945). From this analysis a method of classification that captures external and internal root morphology in a way that is intuitive, reproducible, and defines the human phenotypic set is developed. Results provide a robust definition of modern human tooth root phenotypic diversity. Our method is modular in nature, allowing for incorporation of past and future classification systems. Additionally, it provides a basis for analysing hominin root morphology in evolutionary, ecological, genetic, and developmental contexts.

evolutionary biology↗

Deficiency of SYCP3-related XLR3 Disrupts the Initiation of Meiotic Sex Chromosome Inactivation in Mouse Spermatogenesis

In mammals, the X and Y chromosomes share only small regions of homology called pseudo-autosomal regions (PAR) where pairing and recombination in spermatocytes can occur. Consequently, the sex chromosomes remain largely unsynapsed during meiosis I and are sequestered in a nuclear compartment known as the XY body where they are transcriptionally silenced in a process called meiotic sex chromosome inactivation (MSCI). MSCI mirrors meiotic silencing of unpaired chromatin (MSUC), the sequestration and transcriptional repression of unpaired DNA observed widely in eukaryotes. MSCI is initiated by the assembly of the axial elements of the synaptonemal complex (SC) comprising the structural proteins SYCP2 and SYCP3 followed by the ordered recruitment of DNA Damage Response (DDR) factors to effect gene silencing. However, the precise mechanism of how unsynapsed chromatin is detected in meiocytes is poorly understood. The sex chromosomes in eutherian mammals harbor multiple clusters of SYCP3-like amplicons comprising the Xlr gene family, only a handful of which have been functionally studied. We used a shRNA-transgenic mouse model to create a deficiency in the testis-expressed multicopy Xlr3 genes to investigate their role in spermatogenesis. Here we show that knockdown of Xlr3 in mice leads to spermatogenic defects and a skewed sex ratio that can be traced to MSCI breakdown. Spermatocytes deficient in XLR3 form the XY body and the SC axial elements therein, but are compromised in their ability to recruit DDR components to the XY body. Author SummaryA key event in the production of sperm is the pairing and synapsis of homologous chromosome pairs to facilitate genetic recombination during the first meiotic division. Chromosomal abnormalities that undermine pairing and synapsis in spermatocytes trigger a checkpoint that leads to removal of the abnormal cells via programmed cell death. In mammals, the sex chromosomes, X and Y, lack homology through most of their length and remain largely unpaired. To avoid triggering the checkpoint the X and Y are sequestered in a specialized nuclear compartment called the XY body. DNA damage response (DDR) proteins are recruited to the XY body in a highly ordered progression leading to repression of all gene transcription from the sex chromosomes. We show that knocking down expression of the X-linked SYCR3-like gene, Xlr3, disrupts sex chromosome gene silencing by interfering with recruitment of DDR factors, leading to compromised sperm production.

genetics↗

Quantifying genetic regulatory variation in human populations improves transcriptome analysis in rare disease patients

Transcriptome data holds substantial promise for better interpretation of rare genetic variants in basic research and clinical settings. Here, we introduce ANalysis of Expression VAriation (ANEVA) to quantify genetic variation in gene dosage from allelic expression (AE) data in a population. Application to GTEx data showed that this variance estimate is robust across datasets and is correlated with selective constraint in a gene. We next used ANEVA variance estimates in a Dosage Outlier Test (ANEVA-DOT) to identify genes in an individual that are affected by a rare regulatory variant with an unusually strong effect. Applying ANEVA-DOT to AE data form 70 Mendelian muscular disease patients showed high accuracy in detecting genes with pathogenic variants in previously resolved cases, and lead to one confirmed and several potential new diagnoses in cases previously unresolved. Using our reference estimates from GTEx data, ANEVA-DOT can be readily incorporated in rare disease diagnostic pipelines to better utilize RNA-seq data.\n\nOne Sentence SummaryNew statistical framework for modelling allelic expression characterizes genetic regulatory variation in populations and informs diagnosis in rare disease patients

genomics↗