Publications by authors named "Dacosta Yeboah"
Article Synopsis
- Autism Spectrum Disorder (ASD) is complex with diverse clinical and genetic characteristics, necessitating a more in-depth scientific approach to study its variations through phenotype and genotype markers.
- A novel PheWAS-inspired method is introduced to create both direct and indirect phenotype-phenotype (p-p) graphs, allowing integration of genetic data to enhance understanding of ASD clusters.
- The analysis of these clusters reveals distinctions in ASD symptoms and highlights several important genes associated with ASD, demonstrating that integrating genotype with phenotype data leads to more effective identification of relevant genetic factors.
Article Synopsis
- Children with Autism Spectrum Disorder (ASD) show a wide range of social, communicative, and cognitive challenges, making it difficult to categorize their unique traits and genetic variations.
- A study combined genetic data (specifically single nucleotide polymorphisms or SNPs) with phenotype data to create a network that identifies clusters of related ASD traits, uncovering specific genes linked to these traits.
- The findings provide insights into the genetic links to various ASD characteristics, potentially enabling clinicians to develop more personalized interventions for improving patient outcomes.
Heterogeneity in Blood Biomarker Trajectories After Mild TBI Revealed by Unsupervised Learning.
IEEE/ACM Trans Comput Biol Bioinform
June 2022
Concussions, also known as mild traumatic brain injury (mTBI), are a growing health challenge. Approximately four million concussions are diagnosed annually in the United States. Concussion is a heterogeneous disorder in causation, symptoms, and outcome making precision medicine approaches to this disorder important.
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