Kevin Kenna

ORCID: 0009-0001-2712-7218
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About
Contact & Profiles
Research Areas
  • Amyotrophic Lateral Sclerosis Research
  • Neurogenetic and Muscular Disorders Research
  • Single-cell and spatial transcriptomics
  • Immune Cell Function and Interaction
  • Pulmonary Hypertension Research and Treatments
  • RNA regulation and disease
  • Neurological diseases and metabolism
  • Genetics and Neurodevelopmental Disorders
  • Epigenetics and DNA Methylation
  • Genetic Associations and Epidemiology
  • Parkinson's Disease Mechanisms and Treatments
  • Diabetes and associated disorders
  • RNA Research and Splicing

University Medical Center Utrecht
2021-2025

Utrecht University
2025

University of Massachusetts Chan Medical School
2017

Abstract Despite substantial progress, causal variants are identified only for a minority of familial Parkinson’s disease (PD) cases, leaving high-risk pathogenic unidentified 1,2 . To identify such variants, we uniformly processed exome sequencing data 2,184 index PD cases and 69,775 controls. Exome-wide analyses converged on RAB32 as novel gene identifying c.213C > G/p.S71R variant presenting in ~0.7% while observed 0.004% controls (odds ratio 65.5). This was confirmed all via Sanger...

10.1038/s41588-024-01787-7 article EN cc-by Nature Genetics 2024-06-10

The determinants of severe COVID-19 in healthy adults are poorly understood, which limits the opportunity for early intervention. We present a multiomic analysis using machine learning to characterize genomic basis severity. use single-cell multiome profiling human lungs link genetic signals cell-type-specific functions. discover >1,000 risk genes across 19 cell types, account 77% SNP-based heritability disease. Genetic is particularly focused within natural killer (NK) cells and T cells,...

10.1016/j.cels.2022.05.007 article EN cc-by Cell Systems 2022-06-03

The genetic basis combined with the sporadic occurrence of amyotrophic lateral sclerosis (ALS) suggests a role de novo mutations in disease pathogenesis. Previous studies provided some evidence for this hypothesis; however, results were conflicting: no genes recurrent occurring identified and different pathways postulated. In study, we analyzed whole-exome data from 82 new patient-parents trios it datasets all previously published ALS (173 total). per patient rate was not higher than...

10.1002/humu.23295 article EN Human Mutation 2017-07-17

Sex is an important covariate in all genetic and epigenetic research due to its role the incidence, progression outcome of many phenotypic characteristics human diseases. Amyotrophic lateral sclerosis (ALS) a motor neuron disease with sex bias towards higher incidence males. Here, we report for first time blood-based epigenome-wide association study meta-analysis 9274 individuals after stringent quality control (5529 males 3975 females). We identified total 226 ALS saDMPs (sex-associated...

10.1101/2024.11.22.624866 preprint EN bioRxiv (Cold Spring Harbor Laboratory) 2024-11-25

ABSTRACT The determinants of severe COVID-19 in non-elderly adults are poorly understood, which limits opportunities for early intervention and treatment. Here we present novel machine learning frameworks identifying common rare disease-associated genetic variation, outperform conventional approaches. By integrating single-cell multiomics profiling human lungs to link signals cell-type-specific functions, have discovered validated over 1,000 risk genes underlying across 19 cell types....

10.1101/2021.06.15.21258703 preprint EN medRxiv (Cold Spring Harbor Laboratory) 2021-06-21

Abstract Explaining missing heritability in rare disorders requires effective methods to interpret genetic variants. Sequence-to-function models such as SpliceAI support discovery of splice altering variants but filtering their output identify pathogenic mutations remains challenging. We developed SpliPath address 2 unmet needs this process. First, links the with reference transcriptomics data. This allows users that induce unannotated isoforms selectively expressed disease or patient...

10.1101/2023.05.30.542855 preprint EN cc-by-nc-nd bioRxiv (Cold Spring Harbor Laboratory) 2023-05-31
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