Publications by authors named "Aaron M Holleman"

A single gene can produce multiple transcripts with distinct molecular functions. Rare-variant association tests often aggregate all coding variants across individual genes, without accounting for the variants' presence or consequence in resulting transcript isoforms. To evaluate the utility of transcript-aware variant sets, rare predicted loss-of-function (pLOF) variants were aggregated for 17,035 protein-coding genes using 55,558 distinct transcript-specific variant sets.

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Identifying genetic variants associated with lower waist-to-hip ratio can reveal new therapeutic targets for abdominal obesity. We use exome sequences from 362,679 individuals to identify genes associated with waist-to-hip ratio adjusted for BMI (WHRadjBMI), a surrogate for abdominal fat that is causally linked to type 2 diabetes and coronary heart disease. Predicted loss of function (pLOF) variants in INHBE associate with lower WHRadjBMI and this association replicates in data from AMP-T2D-GENES.

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Article Synopsis
  • In 1995, journalist Gary Taubes published an influential article critiquing nonrandomized epidemiologic research, which has since been cited over 1,000 times.
  • Taubes pointed out numerous associations in research that he believed had questionable validity, suggesting a need for more rigorous evaluation.
  • A recent systematic review of 53 discussed associations found that about 25% of those previously doubted are now accepted as causal, highlighting the evolving nature of public health research and the importance of reproducibility in epidemiology.
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Atrioventricular septal defects (AVSD) are a severe congenital heart defect present in individuals with Down syndrome (DS) at a > 2000-fold increased prevalence compared to the general population. This study aimed to identify risk-associated genes and pathways and to examine a potential polygenic contribution to AVSD in DS. We analyzed a total cohort of 702 individuals with DS with or without AVSD, with genomic data from whole exome sequencing, whole genome sequencing, and/or array-based imputation.

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Article Synopsis
  • Schizophrenia affects about 25% of individuals with 22q11.2 deletion syndrome (22q11.2DS), prompting a study to explore genetic factors that heighten this risk beyond the deletion itself.
  • Researchers analyzed whole-genome sequencing data from 519 people with 22q11.2DS to compare genetic variants in those with schizophrenia to those without psychotic disorders, as well as assessing polygenic risk across broader populations.
  • The study found that individuals with 22q11.2DS and schizophrenia had significantly higher polygenic risk scores for schizophrenia, highlighting that both the genetic deletion and other common risk factors play a crucial role in the increased likelihood of developing schizophrenia.
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Genetic studies of psychiatric disorders often deal with phenotypes that are not directly measurable. Instead, researchers rely on multivariate symptom data from questionnaires and surveys like the PTSD Symptom Scale (PSS) and Beck Depression Inventory (BDI) to indirectly assess a latent phenotype of interest. Researchers subsequently collapse such multivariate questionnaire data into a univariate outcome to represent a surrogate for the latent phenotype.

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