Rule-out test for autism using machine-learning analysis of molecular temporal dynamics in hair - a multicenter study
Midya, V.; Bello, G. A.; Gomez, L. A.; Marin, M. R.; Piyankarage, S. C.; Elhlou, S.; Chumber, J.; Jaramilo, J.; Dessalle, S.; Yitshak Sade, M.; Cantoral, A.; Wright, R. J.; Wright, R.; Nakayama, S.; Bennett, D. H.; Schmidt, R. J.; Bolte, S.; Arora, M.
Show abstract
Absence of autism risk-stratification tools under 18 months hampers early intervention. In a multinational sample of 1697 participants, aged one month and older, we provide proof-of-concept that temporal molecular dynamics can stratify autism likelihood. Using laser-ablation-inductively-coupled-plasma-mass-spectrometry, we measured elemental intensities along growth increments of single hair strands at [~]800 timepoints. We developed a first-stage model to stratify individuals into a lower autism probability group and applied a second-stage model to the remaining participants, stratifying them into intermediate- and high-probability groups. Models were trained, ensembled, and tuned on participants from California and Sweden, then tested on 580 participants (within- and external-population replication in New York, Mexico, and Japan). Likelihood ratios (95%CI) for autism in low-, intermediate-, and high-probability groups were 0.18(0.15-0.23), 1.09(0.99-1.20), and 2.62(1.55-4.00), respectively. Low-probability classification (first-stage) had sensitivity of 96%(0.91-0.98), and high-probability classification (second-stage) had specificity of 90%(0.86-0.92). Our data support that elemental biodynamics can objectively stratify autism likelihood.
Matching journals
The top 3 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Data-driven characterization of individuals with delayed autism diagnosis 95%
- Clinical features and burden of post-acute sequelae of SARS-CoV-2 infection in children and adolescents: an exploratory EHR-based cohort study from the RECOVER program 88%
- Longitudinal associations between weight indices, cognition, and mental health from childhood to early adolescence 88%
Similar papers in this journal
- Comorbidities in autism spectrum disorder and their etiologies 94%
- Maternal Levels of Acute Phase Proteins in Early Pregnancy and Risk of Autism Spectrum Disorders in Offspring 94%
- Clinical autism subscales have common genetic liability that is heritable, pleiotropic, and generalizable to the general population 94%
Similar papers in this journal
- Multi-parametric assays capture sex- and environment-dependent modifiers of behavioral phenotypes in autism mouse models 94%
- Autism heterogeneity related to preterm birth: multi-ancestry results from the SPARK sample 93%
- Dimensional gender diversity is associated with greater polygenic propensity for cognitive performance and interacts with other genetic factors in predicting health outcomes 93%
Similar papers in this journal
- Parental inflammatory bowel disease and autism in the offspring: Triangulating the evidence using four complementary study designs 90%
- Polygenic risk scores lack prognostic value for adults with severe mental illness 90%
- Quantification of autism recurrence risk by direct assessment of paternal sperm mosaicism 89%
Similar papers in this journal
- Automatic speaker diarization for natural conversation analysis in autism clinical trials 92%
- Genome-wide analysis of screen behaviors among adolescents identifies novel loci and overlap with educational attainment and mental disorders 90%
- Forecasting autism gene discovery with machine learning and genome-scale data 90%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.