Appraising familial prediction of proband outcomes in neurogenetic disorders

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Authors: Shara Reimer, Kathleen Wilson, Lukas Schäffer, Isabella Larsen, Melissa Roybal, Srishti Rau, Jyssica Seebeck, Erin N. Torres, Liv Clasen, Siyuan Liu, Armin Raznahan
Cited by: 1
References: 42

Abstract

Abstract Background Gene dosage disorders impact cognition and psychopathology, but outcomes vary widely amongst carriers of the same variant. Recent work has sought to better predict proband outcomes using measures of corresponding traits in family members. However, family-based models have not yet been prospectively quantified across several traits in different genetic disorders, nor evaluated for the precision they afford: both crucial issues for clinical implementation. Methods In a first test case for these questions, we apply regression analyses to quantify and compare family-based prediction of 12 traits (including IQ, autism- and ADHD-related traits) in 433 individuals from families including a proband with XXY or XYY syndrome (N=93 and 58, respectively). Results The 12 traits vary substantially in their proband-family associations (0.001

Fields of Study & Subjects

Genetic Associations and Epidemiology Genomics and Rare Diseases Genetics and Neurodevelopmental Disorders

Publication details

Journal / source
medRxiv
Publisher
openRxiv
Publication date
22 May 2026
Document type
Preprint