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Abstract Background miRNAs are short single-stranded non-coding RNAs involved in post-transcriptional gene regulation that play a major role in normal biological functions and diseases. Little is currently known about how expression of miRNAs is regulated. We surveyed variation in miRNA abundance in the hippocampus of mouse inbred strains, allowing us to take a genetic approach to the study of miRNA regulation, which is novel for miRNAs. The BXD recombinant inbred panel is a very well characterized genetic reference panel which allows quantitative trait locus (QTL) analysis of miRNA abundance and detection of correlates in a large store of brain and behavioural phenotypes. Results We found five suggestive trans QTLs for the regulation of miRNAs investigated. Further analysis of these QTLs revealed two genes, Tnik and Phf17, under the miR-212 regulatory QTLs, whose expression levels were significantly correlated with miR-212 expression. We found that miR-212 expression is correlated with cocaine-related behaviour, consistent with a reported role for this miRNA in the control of cocaine consumption. miR-31 is correlated with anxiety and alcohol related behaviours. KEGG pathway analysis of each miRNA’s expression correlates revealed enrichment of pathways including MAP kinase, cancer, long-term potentiation, axonal guidance and WNT signalling. Conclusions The BXD reference panel allowed us to establish genetic regulation and characterize biological function of specific miRNAs. QTL analysis enabled detection of genetic loci that regulate the expression of these miRNAs. eQTLs that regulate miRNA abundance are a new mechanism by which genetic variation influences brain and behaviour. Analysis of one of these QTLs revealed a gene, Tnik, which may regulate the expression of a miRNA, a molecular pathway and a behavioural phenotype. Evidence of genetic covariation of miR-212 abundance and cocaine related behaviours is strongly supported by previous functional studies, demonstrating the value of this approach for discovery of new functional roles and downstream processes regulated by miRNA.

Background: Interindividual variation in voluntary ethanol consumption and ethanol response is partially influenced by genetic variation. Discovery of the genes and allelic variants that affect these phenotypes may clarify the etiology and pathophysiology of problematic alcohol use, including alcohol use disorder. Genetically diverse mouse populations, which demonstrate heritable variation in ethanol consumption, can be utilized to discover the genes and gene networks that influence this trait. The Collaborative Cross (CC) recombinant inbred strains, Diversity Outbred (DO) population and their 8 founder strains are complementary mouse resources that capture substantial genetic diversity and can demonstrate expansive phenotypic variation in heritable traits. These populations may be utilized to discover candidate genes and gene networks that moderate ethanol consumption and other ethanol‐related traits. Methods: We characterized ethanol consumption, preference, and pharmacokinetics in the 8 founder strains and 10 CC strains in 12‐hour drinking sessions during the dark phase of the circadian cycle. Results: Ethanol consumption was substantially heritable, both early in ethanol access and over a chronic intermittent access schedule. Ethanol pharmacokinetics were also heritable; however, no association between strain‐level ethanol consumption and pharmacokinetics was detected. The PWK/PhJ strain was the highest drinking strain, with consumption substantially exceeding that of the C57BL/6J strain, which is commonly used as a model of "high" or "binge" drinking. Notably, we found strong evidence that sex moderated genetic effects on voluntary ethanol drinking. Conclusions: Collectively, this research serves as a foundation for expanded genetic study of ethanol consumption in the CC/DO and related populations. Moreover, we identified reference strains with extreme consumption phenotypes that effectively represent polygenic models of excessive ethanol use. [ABSTRACT FROM AUTHOR]

Background: The frontal cortex is critical to many cognitive processes and is vulnerable to pathology and neurodegeneration in Alzheimer's disease. Cortical dysfunction and impaired connectivity in the frontal cortex have also been observed in "normal" age‐related cognitive decline, suggesting common mechanisms contributing to both age‐related and AD‐related cognitive decline. The divergence that may lead to AD versus normal aging, however, is unclear. Method: Here, we have used genetically diverse mouse populations modeling either AD or normal aging, the AD‐BXDs and their nontransgenic littermates (Neuner et al, Neuron, 2019). We measured cognitive function from early (6mo) to middle (14mo) adulthood to capture presymptomatic and advanced AD stages and early aging processes. We performed bulk RNAseq from the frontal cortex, followed by age‐ and AD‐related differential gene expression analysis and Weighted Gene Coexpression Network Analysis (WGCNA) to identify genes and gene networks whose expression is associated with normal and pathological aging. Result: In both differential gene expression analysis and WGCNA, we found common mechanisms underlying normal aging and AD (e.g., upregulation of inflammation‐related gene pathways). We also found that downregulation of genes and gene networks associated with synaptic function specifically occurred in AD and not in normal aging, suggesting that early synaptic dysfunction and/or synaptic loss is a unique feature of AD that distinguishes it from normal aging processes. Based on differential gene expression, network analyses, presence of high‐impact variants across the BXD panel, and association with cognitive function, we identified one gene candidate, B230209E15Rik, a lncRNA, as a potential regulator of synaptic gene networks in the frontal cortex that promotes resilience to cognitive decline in AD. Conclusion: Overall, our data indicate that cognitive aging and AD may share common neuroimmune activation and dysregulation of neuronal maintenance, but that AD, and particularly late AD, is uniquely characterized by synaptic dysfunction. We nominate an intriguing candidate, B230209E15Rik, as a potentially key driver of synaptic gene regulation in the frontal cortex. In order to elucidate the mechanism by which this gene may promote cognitive resilience in AD, we are currently validating this finding in vivo. [ABSTRACT FROM AUTHOR]

The pairwise interaction of aromatic amino acids with anionic amino acids which were explored by using small molecule mimics is presented.

Recent technical and methodological advances have greatly enhanced genome-wide association studies (GWAS). The advent of low-cost, whole-genome sequencing facilitates high-resolution variant identification, and the development of linear mixed models (LMM) allows improved identification of putatively causal variants. While essential for correcting false positive associations due to sample relatedness and population stratification, LMMs have commonly been restricted to quantitative variables. However, phenotypic traits in association studies are often categorical, coded as binary case-control or ordered variables describing disease stages. To address these issues, we have devised a method for genomic association studies that implements a generalized LMM (GLMM) in a Bayesian framework, called Bayes- GLMM. Bayes-GLMM has four major features: (1) support of categorical, binary, and quantitative variables; (2) cohesive integration of previous GWAS results for related traits; (3) correction for sample relatedness by mixed modeling; and (4) model estimation by both Markov chain Monte Carlo sampling and maximal likelihood estimation. We applied Bayes-GLMM to the whole-genome sequencing cohort of the Alzheimer's Disease Sequencing Project. This study contains 570 individuals from 111 families, each with Alzheimer's disease diagnosed at one of four confidence levels. Using Bayes-GLMM we identified four variants in three loci significantly associated with Alzheimer's disease. Two variants, rs140233081 and rs149372995, lie between PRKAR1B and PDGFA. The coded proteins are localized to the glial-vascular unit, and PDGFA transcript levels are associated with Alzheimer's disease-related neuropathology. In summary, this work provides implementation of a flexible, generalized mixed-model approach in a Bayesian framework for association studies. [ABSTRACT FROM AUTHOR]

Background: Cognitive resilience to familial Alzheimer's Disease (FAD) is a phenomenon whereby cognitive functioning is better than predicted based on highly penetrant mutations in APP and PS1. This resilience is likely mediated by unidentified genetic factors, and we hypothesize that these factors provide key targets for treatment and prevention of AD. We previously discovered that the most commonly used background strain in AD model research (C57BL/6J, B6) is resilient to AD‐related cognitive decline. Method: Using genetic mapping, we determined that cognitive resilience is associated with a variant in the Apoe receptor binding domain and utilized CRISPR to generate a novel Apoe knockin mouse (Apoe KIB6/E163D). Contextual fear conditioning (CFC), tau pathology, and single‐nuclear RNAseq hippocampi analyses were performed in male and female Apoe KIB6/E163D x 5XFAD progeny that differed by only a single variant in Apoe leading to the E163D base pair change in the protein. Result: We found that, indeed, cognitive resilience to the 5XFAD transgene was conferred in ApoeB6/B6 mice compared to Apoe KIB6/E163D mice tested on CFC. Although minimal differences in hyperphosphorylated tau abundance were observed between 5XFAD‐ApoeWT/WT mice compared to 5XFAD‐Apoe KIB6/E163D, we uncovered robust differences in the transcriptomes of hippocampal excitatory and inhibitory neurons and microglia using single‐nuclear sequencing. Gene enrichment and pathway analyses of differentially expressed genes suggest that the 5XFAD‐ApoeB6/B6 genotype promotes cation transport and suppression of amyloid fibril formation in excitatory neurons, promotes genes involved in ribosome assembly and protein translation in inhibitory neurons, and enhances gene expression associated with stress response in microglia. Conclusion: Our results suggest that 5XFAD‐ApoeB6/B6 homozygotes exhibit cognitive resilience to causal FAD mutations that involve dynamic regulation of gene networks across multiple cell types, emphasizing the need for well‐aligned cell culture models of cognitive resilience to validate targets and screen resilience‐based interventions. Future work leveraging in vivo electrophysiology and imaging will establish mechanisms whereby Apoe variants alter neural and synaptic function. Understanding the relationship between protective genetic factors and cognitive resilience are crucial for determining mechanisms of resilience and uncovering novel targets for intervention. [ABSTRACT FROM AUTHOR]

Albuminuria is an important marker of nephropathy that increases the risk of progressive renal and chronic cardiovascular diseases. The genetic basis of kidney disease is well-established in humans and rodent models, but the causal genes remain to be identified. We applied several genetic strategies to map and refine genetic loci affecting albuminuria in mice and translated the findings to human kidney disease. First, we measured albuminuria in mice from 33 inbred strains, used the data for haplotype association mapping (HAM), and detected 10 genomic regions associated with albuminuria. Second, we performed eight F2 intercrosses between genetically diverse strains to identify six loci underlying albuminuria, each of which was concordant to kidney disease loci in humans. Third, we used the Oak Ridge National Laboratory incipient Collaborative Cross subpopulation to detect an additional novel quantitative trait loci (QTL) underlying albuminuria. We also performed a ninth intercross, between genetically similar strains, that substantially narrowed an albuminuria QTL on Chromosome 17 to a region containing four known genes. Finally, we measured renal gene expression in inbred mice to detect pathways highly correlated with albuminuria. Expression analysis also identified Glcci1, a gene known to affect podocyte structure and function in zebrafish, as a strong candidate gene for the albuminuria QTL on Chromosome 6. Overall, these findings greatly enhance our understanding of the genetic basis of albuminuria in mice and may guide future studies into the genetic basis of kidney disease in humans. [ABSTRACT FROM AUTHOR]