Aurélie Labbe

The paper develops predictive models for intellectual disability in autistic children by integrating genetic variants and developmental milestones, achieving an AUC ROC of 0.65 and identifying 10% of ID cases.

The paper identifies a CNV duplication associated with higher cognitive ability and shows gene-dosage effects differ between deletions and duplications across biological processes.

The paper examines how rare and common genomic variants affect brain functional connectivity, revealing how polygenicity and pleiotropy influence psychiatric conditions and brain networks.

Neuropsychiatric CNVs reorganize brain connectivity along shared patterns linked to cognitive traits and disorder severity.

The paper examines how CNVs in 16p11.2 and 22q11.2 affect functional brain connectivity in neuropsychiatric disorders, identifying shared dysconnectivity patterns across ASD, SZ, and deletions.

The paper estimates the effect sizes of deletions and duplications on autism risk and IQ using statistical models applied to CNV data from multiple cohorts.

The paper quantifies the effect of copy number variants on cognitive ability using genomic data from 24,092 individuals, finding that 10,000 genes modulate intelligence.

MDiNE estimates differential co-occurrence networks in microbiome studies to analyze how microbial networks change with a binary covariate, outperforming existing methods in simulations and applied to Crohn's disease.

The paper evaluates methods for correcting cell-type heterogeneity in DNA methylation studies and recommends surrogate variable analysis for its consistent performance.