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Adam S L Graefe

Publications and source records attributed to Adam S L Graefe.

2 recordsLinked to original sources

A phenotypic paradigm for cerebral palsy genetics.

Cerebral palsy (CP) represents a clinically and etiologically heterogeneous group of permanent but not unchanging disorders of movement, posture, and motor function resulting from non-progressive disturbances of the developing fetal or infant brain. Pathogenic variants in Mendelian disease-associated genes can be found in a subset of individuals with CP, with variants deemed causal of CP having been published for at least 515 genes. Currently, controversy exists as to whether to interpret such pathogenic variants as causing CP, whether the diagnosis instead should be "CP mimic," or whether a clinical diagnosis of CP should coexist with the molecular diagnosis of a Mendelian disease. Accordingly, there is no universally accepted model of the genetic architecture of CP. Here, we present a statistical approach that treats CP as a phenotypic feature for which some genetic disorders confer an increased risk. Based on comprehensive literature curation, we show that the null hypothesis of no CP association can be rejected for only 89 of the 515 genes. We applied these findings to the analysis of a cohort of 460 children diagnosed with CP in the Shriner Children's network who underwent genome sequencing. We identified pathogenic or likely pathogenic (P/LP) variants in 60 genes in 15.8% of the children. Only 16 of the 60 genes had significant evidence for CP association in our literature analysis. Our results suggest that a stratified approach to attributing causality to genetic variants in CP could support precision genomic medicine for affected individuals.

Humans

A corpus of GA4GH phenopackets: Case-level phenotyping for genomic diagnostics and discovery.

The Global Alliance for Genomics and Health (GA4GH) Phenopacket Schema was released in 2022 and approved by ISO as a standard for sharing clinical and genomic information about an individual, including phenotypic descriptions, numerical measurements, genetic information, diagnoses, and treatments. A phenopacket can be used as an input file for software that supports phenotype-driven genomic diagnostics and for algorithms that facilitate patient classification and stratification for identifying new diseases and treatments. There has been a great need for a collection of phenopackets to test software pipelines and algorithms. Here, we present Phenopacket Store. Phenopacket Store v.0.1.19 includes 6,668 phenopackets representing 475 Mendelian and chromosomal diseases associated with 423 genes and 3,834 unique pathogenic alleles curated from 959 different publications. This represents the first large-scale collection of case-level, standardized phenotypic information derived from case reports in the literature with detailed descriptions of the clinical data and will be useful for many purposes, including the development and testing of software for prioritizing genes and diseases in diagnostic genomics, machine learning analysis of clinical phenotype data, patient stratification, and genotype-phenotype correlations. This corpus also provides best-practice examples for curating literature-derived data using the GA4GH Phenopacket Schema.

Humans