Author
Toni A. Boltz
University of California, Los AngelesORCID 0000-0003-0226-7924Unclaimed ORCID profile · follow to get notified of new preprints
Biology Disciplines
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2020-2026 · peak 3/yrCo-Author Collaboration Network
10 top collaborators · 40 mutual co-author links11 papers
Recent·Most cited
- Genetic & Genomic MedicinemedRxivPreprintDOI 10.64898/2026.09.30.26364416
- GenomicsBMC GenomicsPeer-reviewed
Quantitative trait loci mapping of gene expression and chromatin accessibility in primary fibroblast reveals shared allelic effects between Latin American and European ancestries
Toni A. Boltz, Merel H.M. Bot, Sandra Lapinska…·Roel A. Ophoff
The paper maps gene expression and chromatin accessibility QTLs in fibroblasts from European and Latin American ancestries, finding high concordance and shared regulatory mechanisms.
DOI 10.1186/s12864-026-13065-3 - Genetic & Genomic MedicinemedRxivPreprint
Trans-eQTLs reveal the architecture of human gene regulatory networks
Robert Warmerdam, Harm-Jan Westra, Adriaan van der Graaf…·Habibul Ahsan
The paper maps cis- and trans-eQTLs in blood samples to infer gene regulatory networks and prioritize trait-relevant pathways.
2 citations - Genetic & Genomic MedicineNature CommunicationsPeer-reviewed
Trans-eQTL mapping prioritises USP18 as a negative regulator of interferon response at a lupus risk locus
Krista Freimann, Anneke Brümmer, Robert Warmerdam…·Suvi Rovio
The paper identifies USP18 as a negative regulator of interferon response at a lupus risk locus through trans-eQTL analysis in lymphoblastoid cell lines.
9 citations - Genetic & Genomic MedicinemedRxivPreprint
Genomic dimensions deconstruct the clinical heterogeneity of bipolar disorder
Tracey van der Veen, Markos Tesfaye, Jessica Mei Kay Yang…·Melvin G. McInnis
This study identifies genetic risk loci and factors underlying clinical subtypes of bipolar disorder using GWAS and meta-analysis.
- GenomicsMolecular PsychiatryPeer-reviewed
Quantitative trait loci mapping of circulating metabolites in cerebrospinal fluid to uncover biological mechanisms involved in brain-related phenotypes
Lianne Maria Reus, Toni A. Boltz, Marcelo Francia…·Roel A. Ophoff
This study maps quantitative trait loci for CSF metabolites and identifies associations with brain traits, revealing potential neurobiological pathways.
5 citations - GenomicsbioRxivPreprint
A blended genome and exome sequencing method captures genetic variation in an unbiased, high-quality, and cost-effective manner
Toni A. Boltz, Benjamin B. Chu, Calwing Liao…·Alicia R. Martin
The paper introduces BGE, a sequencing method that combines low-pass whole genome and deep whole exome data, showing high accuracy and cost-effectiveness for genetic variant discovery.
12 citations - GenomicsbioRxivPreprint
Cell type deconvolution of bulk blood RNA-Seq to reveal biological insights of neuropsychiatric disorders
Toni A. Boltz, Tommer Schwarz, Merel H.M. Bot…·Roel A. Ophoff
This study uses bulk RNA-Seq from blood samples to estimate cell type proportions and eQTLs, revealing cell-type specific genetic associations with psychiatric disorders and medication effects.
2 citations - GenomicsbioRxivPreprint
Fibroblasts as an in vitro model of circadian genetic and genomic studies
Marcelo Francia, Merel H.M. Bot, Toni A. Boltz…·Roel A. Ophoff
This study examines circadian genetic architecture in fibroblasts to assess its contribution to bipolar disorder risk, finding limited gene expression patterns and no significant genetic associations with BD.
3 citations - GenomicsHuman Genetics and Genomics AdvancesPeer-reviewed
Powerful eQTL mapping through low coverage RNA sequencing
Tommer Schwarz, Toni A. Boltz, Kangcheng Hou…·Bogdan Paşaniuc
This study shows that reducing RNA-seq coverage while increasing sample size improves eQTL discovery power.
11 citations - GeneticsbioRxivPreprint
Gene expression imputation provides insight into the genetic architecture of frontotemporal dementia
Lianne Maria Reus, Bogdan Paşaniuc, Daniëlle Posthuma…·Roel A. Ophoff
This study uses gene expression imputation to identify candidate genes and tissue-specific associations linked to frontotemporal dementia risk loci.
2 citations