Eric A. Stone

ORCID: 0000-0002-2725-4209
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About
Contact & Profiles
Research Areas
  • Neuroscience and Neuropharmacology Research
  • Stress Responses and Cortisol
  • Receptor Mechanisms and Signaling
  • Genomics and Phylogenetic Studies
  • Neurotransmitter Receptor Influence on Behavior
  • Genetic Mapping and Diversity in Plants and Animals
  • Genetic diversity and population structure
  • Plant Disease Resistance and Genetics
  • Chromosomal and Genetic Variations
  • Neuropeptides and Animal Physiology
  • Neuroendocrine regulation and behavior
  • Adipose Tissue and Metabolism
  • Plant Pathogens and Fungal Diseases
  • Radiomics and Machine Learning in Medical Imaging
  • Bioenergy crop production and management
  • AI in cancer detection
  • Genetic and phenotypic traits in livestock
  • Anesthesia and Neurotoxicity Research
  • Cancer Genomics and Diagnostics
  • Gene expression and cancer classification
  • Wheat and Barley Genetics and Pathology
  • RNA and protein synthesis mechanisms
  • Molecular Biology Techniques and Applications
  • Nuclear Receptors and Signaling
  • Neurobiology and Insect Physiology Research

Commonwealth Scientific and Industrial Research Organisation
2018-2025

Australian National University
2018-2024

Rocky Vista University
2024

BioDelivery Sciences International (United States)
2024

Children's Hospital of Western Ontario
2024

Western University of Health Sciences
2024

Western University
2024

Harvard University
2024

Cleveland Clinic
2024

Rush University Medical Center
2024

A major challenge of biology is understanding the relationship between molecular genetic variation and in quantitative traits, including fitness. This determines our ability to predict phenotypes from genotypes understand how evolutionary forces shape within species. Previous efforts dissect genotype–phenotype map were based on incomplete genotypic information. Here, we describe Drosophila melanogaster Genetic Reference Panel (DGRP), a community resource for analysis population genomics...

10.1038/nature10811 article EN cc-by-nc-sa Nature 2012-02-01

Comparisons of orthologous genomic DNA sequences can be used to characterize regions that have been subject purifying selection and are enriched for functional elements. We here present the results such an analysis on alignment from 29 mammalian species. The captures ∼3.9 neutral substitutions per site spans ∼1.9 Mbp human genome. identify constrained elements 3 bp over 1 kbp in length, covering ∼5.5% locus. Our estimate total amount nonexonic constraint experienced by this locus is roughly...

10.1101/gr.3577405 article EN cc-by-nc Genome Research 2005-06-17

The Drosophila melanogaster Genetic Reference Panel (DGRP) is a community resource of 205 sequenced inbred lines, derived to improve our understanding the effects naturally occurring genetic variation on molecular and organismal phenotypes. We used an integrated genotyping strategy identify 4,853,802 single nucleotide polymorphisms (SNPs) 1,296,080 non-SNP variants. Our population genomic analyses show higher deletion than insertion mutation rates stronger purifying selection deletions....

10.1101/gr.171546.113 article EN cc-by Genome Research 2014-04-08

We find that the degree of impairment protein function by missense variants is predictable comparative sequence analysis alone. The applicable range not confined to binary predictions distinguish normal from deleterious variants, but extends continuously mild severe effects. accuracy strongly dependent on variation and highest when diverse orthologs are available. High predictive achieved quantification physicochemical characteristics in each position protein, based observed evolutionary...

10.1101/gr.3804205 article EN cc-by-nc Genome Research 2005-06-17

Schizophrenia likely results from poorly understood genetic and environmental factors. We studied the gene encoding synaptic protein SHANK3 in 285 controls 185 schizophrenia patients with unaffected parents. Two de novo mutations (R1117X R536W) were identified two families, one being found three affected brothers, suggesting germline mosaicism. Zebrafish rat hippocampal neuron assays revealed behavior differentiation defects resulting R1117X mutant. As previously reported autism, occurrence...

10.1073/pnas.0906232107 article EN Proceedings of the National Academy of Sciences 2010-04-12

Saccharomyces cerevisiae , a well-established model for species as diverse humans and pathogenic fungi, is more recently population quantitative genetics. S. found in multiple environments—one of which the human body—as an opportunistic pathogen. To aid understanding genetics, well its emergence pathogen, we sequenced, de novo assembled, extensively manually edited annotated genomes 93 strains from geographic environmental origins, including many clinical origin strains. These strains, are...

10.1101/gr.185538.114 article EN cc-by-nc Genome Research 2015-04-03

Epistasis—nonlinear genetic interactions between polymorphic loci—is the basis of canalization and speciation, epistatic can be used to infer networks affecting quantitative traits. However, role that epistasis plays in architecture traits is controversial. Here, we compared three Drosophila life history sequenced inbred lines melanogaster Genetic Reference Panel (DGRP) a large outbred, advanced intercross population derived from 40 DGRP (Flyland). We assessed allele frequency changes pools...

10.1073/pnas.1213423109 article EN Proceedings of the National Academy of Sciences 2012-09-04

10.1037/h0029311 article EN Journal of Comparative and Physiological Psychology 1970-01-01

In phylogenetic inference, we commonly use models of substitution which assume that sequence evolution is stationary, reversible, and homogeneous (SRH). Although the such often criticized, extent SRH violations their effects on inference tree topologies edge lengths are not well understood. Here, introduce apply maximal matched-pairs tests homogeneity to assess scale impact model 3,572 partitions from 35 published data sets. We show roughly one-quarter all analyzed (23.5%) reject...

10.1093/gbe/evz193 article EN cc-by Genome Biology and Evolution 2019-09-16

A key component of the ongoing ENCODE project involves rigorous comparative sequence analyses for initially targeted 1% human genome. Here, we present orthologous generation, alignment, and evolutionary constraint 23 mammalian species all targets. Alignments were generated using four different methods; comparisons these methods reveal large-scale consistency but substantial differences in terms small genomic rearrangements, sensitivity (sequence coverage), specificity (alignment accuracy)....

10.1101/gr.6034307 article EN cc-by-nc Genome Research 2007-06-01

Predicting organismal phenotypes from genotype data is important for plant and animal breeding, medicine, evolutionary biology. Genomic-based phenotype prediction has been applied single-nucleotide polymorphism (SNP) genotyping platforms, but not using complete genome sequences. Here, we report genomic starvation stress resistance startle response in Drosophila melanogaster, ∼2.5 million SNPs determined by sequencing the Genetic Reference Panel population of inbred lines. We constructed a...

10.1371/journal.pgen.1002685 article EN cc-by PLoS Genetics 2012-05-03

10.1016/0006-8993(82)90452-8 article EN Brain Research 1982-04-01

Problems with current hypotheses of catecholamine involvement in antidepressant action are reviewed. The theories examined include those that attribute a key role to increased brain norepinephrine (NE) availability or the desensitization beta adrenergic receptors. Although these consistent great deal relevant laboratory and clinical data there arc an increasing number findings cannot be explained by them. These contradictions on lag time between pharmacological therapeutic effects...

10.1017/s0140525x00017325 article EN Behavioral and Brain Sciences 1983-12-01

Significance RNA provides a link between variation at the DNA and phenotypic levels. We measured abundances of products protein-coding genes novel transcribed regions in population wild-derived inbred strains Drosophila melanogaster whose genome sequences are also available. exploited this unique resource to characterize genetic basis transcriptome diversity. found high complexity control gene expression, including widespread sexual dimorphism, highly modularized expression patterns with...

10.1073/pnas.1519159112 article EN Proceedings of the National Academy of Sciences 2015-10-19

Understanding the relationship between genetic and phenotypic variation is one of great outstanding challenges in biology. To meet this challenge, comprehensive genomic maps human as well model organism populations are required. Here, we present a nucleotide resolution catalog single-nucleotide, multi-nucleotide, structural variants 39 Drosophila melanogaster Genetic Reference Panel inbred lines. Using an integrative, local assembly-based approach for variant discovery, identify more than...

10.1371/journal.pgen.1003055 article EN cc-by PLoS Genetics 2012-11-15

Abstract Systemic lupus erythematosus (SLE) is the prototypic systemic autoimmune disease. It thought that many common variant gene loci of weak effect act additively to predispose diseases, while contribution rare variants remains unclear. Here we describe coding in lupus-risk genes are present most SLE patients and healthy controls. We demonstrate functional consequences low frequency missense interacting proteins BLK BANK1, which alone, or combination, a substantial proportion patients....

10.1038/s41467-019-10242-9 article EN cc-by Nature Communications 2019-05-17

Phenotypic plasticity is the ability of a single genotype to produce different phenotypes in response changing environments. We assessed variation genome-wide gene expression and four fitness-related an outbred Drosophila melanogaster population under 20 physiological, social, nutritional, chemical, physical environments; we compared phenotypically plastic transcripts genetically variable environment. The environmentally sensitive transcriptome consists two transcript categories, which...

10.1371/journal.pgen.1002593 article EN cc-by PLoS Genetics 2012-03-29
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