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Ian Jones

Ian Jones

· Clinical Assistant Professor of Liberal Studies | Field Director, Islamic Village Excavations of the Balu‘a Regional Archaeology ProjectVerified

New York University · Anthropology

Active 1995–2023

h-index10
Citations243
Papers288 last 5y
Funding
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Research topics

  • Archaeology
  • History
  • Ancient history
  • Geology
  • Seismology

Selected publications

  • Acknowledgments

    Duke University Press eBooks · 2023

    • Geography
    • History
  • Ashkelon 8: The Islamic and Crusader Periods

    Palestine Exploration Quarterly · 2023 · 4 citations

    1st authorCorresponding
    • Ancient history
    • History
    • Archaeology
  • Genome-wide association study of more than 40,000 bipolar disorder cases provides new insights into the underlying biology

    Nature Genetics · 2021 · 1557 citations

    • Biology
    • Genetics
    • Neuroscience

    Bipolar disorder is a heritable mental illness with complex etiology. We performed a genome-wide association study of 41,917 bipolar disorder cases and 371,549 controls of European ancestry, which identified 64 associated genomic loci. Bipolar disorder risk alleles were enriched in genes in synaptic signaling pathways and brain-expressed genes, particularly those with high specificity of expression in neurons of the prefrontal cortex and hippocampus. Significant signal enrichment was found in genes encoding targets of antipsychotics, calcium channel blockers, antiepileptics and anesthetics. Integrating expression quantitative trait locus data implicated 15 genes robustly linked to bipolar disorder via gene expression, encoding druggable targets such as HTR6, MCHR1, DCLK3 and FURIN. Analyses of bipolar disorder subtypes indicated high but imperfect genetic correlation between bipolar disorder type I and II and identified additional associated loci. Together, these results advance our understanding of the biological etiology of bipolar disorder, identify novel therapeutic leads and prioritize genes for functional follow-up studies.

  • Dissecting the Shared Genetic Architecture of Suicide Attempt, Psychiatric Disorders, and Known Risk Factors

    Biological Psychiatry · 2021 · 240 citations

    • Psychiatry
    • Medicine
    • Psychology
  • Enhancing Discovery of Genetic Variants for Posttraumatic Stress Disorder Through Integration of Quantitative Phenotypes and Trauma Exposure Information

    Biological Psychiatry · 2021 · 67 citations

    • Computer Science
    • Clinical psychology
    • Psychology

    BACKGROUND: Posttraumatic stress disorder (PTSD) is heritable and a potential consequence of exposure to traumatic stress. Evidence suggests that a quantitative approach to PTSD phenotype measurement and incorporation of lifetime trauma exposure (LTE) information could enhance the discovery power of PTSD genome-wide association studies (GWASs). METHODS: A GWAS on PTSD symptoms was performed in 51 cohorts followed by a fixed-effects meta-analysis (N = 182,199 European ancestry participants). A GWAS of LTE burden was performed in the UK Biobank cohort (N = 132,988). Genetic correlations were evaluated with linkage disequilibrium score regression. Multivariate analysis was performed using Multi-Trait Analysis of GWAS. Functional mapping and annotation of leading loci was performed with FUMA. Replication was evaluated using the Million Veteran Program GWAS of PTSD total symptoms. RESULTS: GWASs of PTSD symptoms and LTE burden identified 5 and 6 independent genome-wide significant loci, respectively. There was a 72% genetic correlation between PTSD and LTE. PTSD and LTE showed largely similar patterns of genetic correlation with other traits, albeit with some distinctions. Adjusting PTSD for LTE reduced PTSD heritability by 31%. Multivariate analysis of PTSD and LTE increased the effective sample size of the PTSD GWAS by 20% and identified 4 additional loci. Four of these 9 PTSD loci were independently replicated in the Million Veteran Program. CONCLUSIONS: Through using a quantitative trait measure of PTSD, we identified novel risk loci not previously identified using prior case-control analyses. PTSD and LTE have a high genetic overlap that can be leveraged to increase discovery power through multivariate methods.

  • Sex-Dependent Shared and Nonshared Genetic Architecture Across Mood and Psychotic Disorders

    Biological Psychiatry · 2021 · 135 citations

    • Genetics
    • Biology
    • Psychology

    BACKGROUND: Sex differences in incidence and/or presentation of schizophrenia (SCZ), major depressive disorder (MDD), and bipolar disorder (BIP) are pervasive. Previous evidence for shared genetic risk and sex differences in brain abnormalities across disorders suggest possible shared sex-dependent genetic risk. METHODS: We conducted the largest to date genome-wide genotype-by-sex (G×S) interaction of risk for these disorders using 85,735 cases (33,403 SCZ, 19,924 BIP, and 32,408 MDD) and 109,946 controls from the PGC (Psychiatric Genomics Consortium) and iPSYCH. RESULTS: ) in a locus containing IDO2, a kynurenine pathway enzyme with immunoregulatory functions implicated in SCZ, BIP, and MDD. Pathway enrichment analysis detected significant G×S interaction of genes regulating vascular endothelial growth factor receptor signaling in MDD (false discovery rate-corrected p < .05). CONCLUSIONS: In the largest genome-wide G×S analysis of mood and psychotic disorders to date, there was substantial genetic overlap between the sexes. However, significant sex-dependent effects were enriched for genes related to neuronal development and immune and vascular functions across and within SCZ, BIP, and MDD at the variant, gene, and pathway levels.

  • A Comparison of Ten Polygenic Score Methods for Psychiatric Disorders Applied Across Multiple Cohorts

    Biological Psychiatry · 2021 · 202 citations

    • Clinical psychology
    • Demography
    • Medicine

    BACKGROUND: Polygenic scores (PGSs), which assess the genetic risk of individuals for a disease, are calculated as a weighted count of risk alleles identified in genome-wide association studies. PGS methods differ in which DNA variants are included and the weights assigned to them; some require an independent tuning sample to help inform these choices. PGSs are evaluated in independent target cohorts with known disease status. Variability between target cohorts is observed in applications to real data sets, which could reflect a number of factors, e.g., phenotype definition or technical factors. METHODS: The Psychiatric Genomics Consortium Working Groups for schizophrenia and major depressive disorder bring together many independently collected case-control cohorts. We used these resources (31,328 schizophrenia cases, 41,191 controls; 248,750 major depressive disorder cases, 563,184 controls) in repeated application of leave-one-cohort-out meta-analyses, each used to calculate and evaluate PGS in the left-out (target) cohort. Ten PGS methods (the baseline PC+T method and 9 methods that model genetic architecture more formally: SBLUP, LDpred2-Inf, LDpred-funct, LDpred2, Lassosum, PRS-CS, PRS-CS-auto, SBayesR, MegaPRS) were compared. RESULTS: Compared with PC+T, the other 9 methods gave higher prediction statistics, MegaPRS, LDPred2, and SBayesR significantly so, explaining up to 9.2% variance in liability for schizophrenia across 30 target cohorts, an increase of 44%. For major depressive disorder across 26 target cohorts, these statistics were 3.5% and 59%, respectively. CONCLUSIONS: Although the methods that more formally model genetic architecture have similar performance, MegaPRS, LDpred2, and SBayesR rank highest in most comparisons and are recommended in applications to psychiatric disorders.

  • The southern Levantine earthquake of 418/419 AD and the archaeology of Byzantine Petra

    Levant · 2021

    1st authorCorresponding
    • Archaeology
    • Geology
    • History

    This article provides a critical review of the archaeological, geological and historical evidence concerning the southern Levantine earthquake of 418/419 AD, specifically its effects on Petra. Historical accounts indicate that the earthquake caused destruction in Jerusalem and elsewhere, but archaeological evidence is sparse. Numerous destruction layers at sites in the Galilee were attributed to the 418/419 earthquake, but these attributions have all been questioned due to the presence of material in these layers post-dating the early 5th century AD. To the south, the attribution of the destruction of the Spätrömisch II phase at al-Zantur, in Petra, to this earthquake has largely been accepted. This paper reviews the published evidence and determines that this, too, has been dated too early. Based on this evidence, I suggest that the destruction of al-Zantur Spätrömisch II occurred in the 6th century and argue that the 418/419 earthquake was a relatively minor event, primarily affecting the Jerusalem region. This has bearing on the dating of diagnostic artifact types found in this phase, notably the Negev wheel-made lamp, which I argue should be considered a reliable indicator of dates in the 6th–7th century AD. This, in turn, has implications for the dating of other sites, notably the Petra Church.

  • Genome-wide gene-environment analyses of major depressive disorder and reported lifetime traumatic experiences in UK Biobank

    Molecular Psychiatry · 2020 · 219 citations

    • Psychology
    • Psychiatry
    • Medicine

    ). Our results suggest that the genetic contribution to MDD is greater when reported trauma is present, and that a complex relationship exists between reported trauma exposure, body composition, and MDD.

Frequent coauthors

  • Thomas E. Levy

    University of California, San Diego

    18 shared
  • Matthew D. Howland

    University of Georgia

    9 shared
  • Mohammad Najjar

    Universidade Federal do Rio de Janeiro

    7 shared
  • Erez Ben‐Yosef

    Tel Aviv University

    4 shared
  • Stephen H. Savage

    2 shared
  • Jaya Mishra

    1 shared
  • Brita Lorentzen

    University of Georgia

    1 shared
  • Laura Alvarez‐Jubete

    1 shared

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