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Modeling familial predictors of proband outcomes in neurogenetic disorders: initial application in XYY syndrome

BACKGROUND: Disorders of gene dosage can significantly increase risk for psychopathology, but outcomes vary greatly amongst carriers of any given chromosomal aneuploidy or sub-chromosomal copy number variation (CNV). One potential path to advance precision medicine for neurogenetic disorders is mode...

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Autores principales: Wilson, Kathleen E., Fish, Ari M., Mankiw, Catherine, Xenophontos, Anastasia, Warling, Allysa, Whitman, Ethan, Clasen, Liv, Torres, Erin, Blumenthal, Jonathan, Raznahan, Armin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7986517/
https://www.ncbi.nlm.nih.gov/pubmed/33752588
http://dx.doi.org/10.1186/s11689-021-09360-7
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author Wilson, Kathleen E.
Fish, Ari M.
Mankiw, Catherine
Xenophontos, Anastasia
Warling, Allysa
Whitman, Ethan
Clasen, Liv
Torres, Erin
Blumenthal, Jonathan
Raznahan, Armin
author_facet Wilson, Kathleen E.
Fish, Ari M.
Mankiw, Catherine
Xenophontos, Anastasia
Warling, Allysa
Whitman, Ethan
Clasen, Liv
Torres, Erin
Blumenthal, Jonathan
Raznahan, Armin
author_sort Wilson, Kathleen E.
collection PubMed
description BACKGROUND: Disorders of gene dosage can significantly increase risk for psychopathology, but outcomes vary greatly amongst carriers of any given chromosomal aneuploidy or sub-chromosomal copy number variation (CNV). One potential path to advance precision medicine for neurogenetic disorders is modeling penetrance in probands relative to observed phenotypes in their non-carrier relatives. Here, we seek to advance this general analytic framework by developing new methods in application to XYY syndrome—a sex chromosome aneuploidy that is known to increase risk for psychopathology. METHODS: We analyzed a range of cognitive and behavioral domains in XYY probands and their non-carrier family members (n = 58 families), including general cognitive ability (FSIQ), as well as continuous measures of traits related to autism spectrum disorder (ASD) and attention deficit hyperactivity disorder (ADHD). Proband and relative scores were compared using covariance, regression and cluster analysis. Comparisons were made both within and across traits. RESULTS: Proband scores were shifted away from family scores with effect sizes varying between 0.9 and 2.4 across traits. Only FSIQ and vocabulary scores showed a significant positive correlation between probands and their non-carrier relatives across families (R(2) ~ 0.4). Variability in family FSIQ also cross-predicted variability in proband ASD trait severity. Cluster analysis across all trait-relative pairings revealed that variability in parental psychopathology was more weakly coupled to their XYY versus their euploid offspring. CONCLUSIONS: We present a suite of generalizable methods for modeling variable penetrance in aneuploidy and CNV carriers using family data. These methods update estimates of phenotypic penetrance for XYY and suggest that the predictive utility of family data is likely to vary for different traits and different gene dosage disorders. TRIAL REGISTRATIONS: ClinicalTrials.gov NCT00001246, “89-M-0006: Brain Imaging of Childhood Onset Psychiatric Disorders, Endocrine Disorders and Healthy Controls.” Date of registry: 01 October 1989. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s11689-021-09360-7.
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spelling pubmed-79865172021-03-24 Modeling familial predictors of proband outcomes in neurogenetic disorders: initial application in XYY syndrome Wilson, Kathleen E. Fish, Ari M. Mankiw, Catherine Xenophontos, Anastasia Warling, Allysa Whitman, Ethan Clasen, Liv Torres, Erin Blumenthal, Jonathan Raznahan, Armin J Neurodev Disord Research BACKGROUND: Disorders of gene dosage can significantly increase risk for psychopathology, but outcomes vary greatly amongst carriers of any given chromosomal aneuploidy or sub-chromosomal copy number variation (CNV). One potential path to advance precision medicine for neurogenetic disorders is modeling penetrance in probands relative to observed phenotypes in their non-carrier relatives. Here, we seek to advance this general analytic framework by developing new methods in application to XYY syndrome—a sex chromosome aneuploidy that is known to increase risk for psychopathology. METHODS: We analyzed a range of cognitive and behavioral domains in XYY probands and their non-carrier family members (n = 58 families), including general cognitive ability (FSIQ), as well as continuous measures of traits related to autism spectrum disorder (ASD) and attention deficit hyperactivity disorder (ADHD). Proband and relative scores were compared using covariance, regression and cluster analysis. Comparisons were made both within and across traits. RESULTS: Proband scores were shifted away from family scores with effect sizes varying between 0.9 and 2.4 across traits. Only FSIQ and vocabulary scores showed a significant positive correlation between probands and their non-carrier relatives across families (R(2) ~ 0.4). Variability in family FSIQ also cross-predicted variability in proband ASD trait severity. Cluster analysis across all trait-relative pairings revealed that variability in parental psychopathology was more weakly coupled to their XYY versus their euploid offspring. CONCLUSIONS: We present a suite of generalizable methods for modeling variable penetrance in aneuploidy and CNV carriers using family data. These methods update estimates of phenotypic penetrance for XYY and suggest that the predictive utility of family data is likely to vary for different traits and different gene dosage disorders. TRIAL REGISTRATIONS: ClinicalTrials.gov NCT00001246, “89-M-0006: Brain Imaging of Childhood Onset Psychiatric Disorders, Endocrine Disorders and Healthy Controls.” Date of registry: 01 October 1989. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s11689-021-09360-7. BioMed Central 2021-03-22 /pmc/articles/PMC7986517/ /pubmed/33752588 http://dx.doi.org/10.1186/s11689-021-09360-7 Text en © The Author(s) 2021 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Wilson, Kathleen E.
Fish, Ari M.
Mankiw, Catherine
Xenophontos, Anastasia
Warling, Allysa
Whitman, Ethan
Clasen, Liv
Torres, Erin
Blumenthal, Jonathan
Raznahan, Armin
Modeling familial predictors of proband outcomes in neurogenetic disorders: initial application in XYY syndrome
title Modeling familial predictors of proband outcomes in neurogenetic disorders: initial application in XYY syndrome
title_full Modeling familial predictors of proband outcomes in neurogenetic disorders: initial application in XYY syndrome
title_fullStr Modeling familial predictors of proband outcomes in neurogenetic disorders: initial application in XYY syndrome
title_full_unstemmed Modeling familial predictors of proband outcomes in neurogenetic disorders: initial application in XYY syndrome
title_short Modeling familial predictors of proband outcomes in neurogenetic disorders: initial application in XYY syndrome
title_sort modeling familial predictors of proband outcomes in neurogenetic disorders: initial application in xyy syndrome
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7986517/
https://www.ncbi.nlm.nih.gov/pubmed/33752588
http://dx.doi.org/10.1186/s11689-021-09360-7
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