Capturing and characterizing variability of cognition and behavior in Down syndrome

捕捉和表征唐氏综合症认知和行为的变异性

基本信息

项目摘要

PROJECT SUMMARY/ABSTRACT Down syndrome (DS) is the most common genetic cause of intellectual disability (ID). Though all individuals with DS have the same underlying etiology, an extra copy of chromosome 21, the severity of ID can vary widely, from mild to severe, across individuals. Specifically, wide individual variation has been shown for intelligence quotient (IQ), language, and adaptive behavior. Given the impact of these domains on learning and daily functioning, it is important to capture and characterize this variability to guide development of interventions that maximize functional ability across the lifespan. This R03 will perform secondary analyses on two existing data resources to address two important aspects of understanding variability in ID across individuals with DS. In Aim 1, we will compile data captured across multiple cohorts with a collective sample size of 561 children with DS to analyze performance on the Kaufman Brief Intelligence Test 2 (KBIT-2), a commonly used instrument to measure IQ. This measure is ideal for large-scale research studies and clinical trials as it only takes about 20 minutes to administer. However, due to floor effects, the KBIT-2 is not a sensitive measure of abilities in children with severe ID. We aim to characterize performance on the KBIT-2 in children with DS to determine the extent of floor effects, including whether floor effects have a bigger impact in subgroups of children with DS defined by domains such as age, as well as calculate norms that could be used for DS-specific standardize scoring. The results of this aim can be used to guide future research and clinical trials. In Aim 2, we will leverage existing whole genome sequencing data in a cohort of children with DS to identify shared genetic variation among subgroups of children with DS defined by similar patterns of cognition and adaptive behavior. The results of the Aim 2 analyses will generate new hypotheses about the biological pathways associated with variability in cognition and behavior across individuals with DS. This proposal completely aligns with the goals of the INLCUDE project. Our goals and those of the INCLUDE project are to identify potential intervention targets in order to facilitate precision medicine approaches to improve quality of life for individuals with DS across the lifespan.
项目总结/文摘

项目成果

期刊论文数量(0)
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会议论文数量(0)
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Jessica Ezzell Hunter其他文献

Premutation-Associated Disorders in Childhood and Adulthood
儿童期和成年期的前突变相关疾病
  • DOI:
    10.1007/978-3-319-33898-9_12
  • 发表时间:
    2016
  • 期刊:
  • 影响因子:
    5.8
  • 作者:
    R. Hagerman;A. Wheeler;Sarah E. Fitzpatrick;Jessica Ezzell Hunter
  • 通讯作者:
    Jessica Ezzell Hunter
Genomic sequencing in diverse and underserved pediatric populations: Parent perspectives on understanding, uncertainty, psychosocial impact, and personal utility of results
不同和服务不足的儿科人群中的基因组测序:父母对结果的理解、不确定性、社会心理影响和个人效用的观点
  • DOI:
    10.1016/j.gim.2025.101363
  • 发表时间:
    2025-04-01
  • 期刊:
  • 影响因子:
    6.200
  • 作者:
    Barbara B. Biesecker;Sara L. Ackerman;Kyle B. Brothers;Kelly M. East;Ann Katherine M. Foreman;Lucia A. Hindorff;Carol R. Horowitz;Gail P. Jarvik;Sara J. Knight;Michael C. Leo;Donald L. Patrick;Christine Rini;Jill O. Robinson;Nuriye Nalan Sahin-Hodoglugil;Anne Slavotinek;Sabrina A. Suckiel;David L. Veenstra;Randi E. Zinberg;Jessica Ezzell Hunter
  • 通讯作者:
    Jessica Ezzell Hunter

Jessica Ezzell Hunter的其他文献

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{{ truncateString('Jessica Ezzell Hunter', 18)}}的其他基金

Capturing and characterizing variability of cognition and behavior in Down syndrome
捕捉和表征唐氏综合症认知和行为的变异性
  • 批准号:
    10505106
  • 财政年份:
    2021
  • 资助金额:
    --
  • 项目类别:
Access to Genetic Information Leveraging Innovative Technology (AGILITY) Study
利用创新技术获取遗传信息(AGILITY)研究
  • 批准号:
    10492770
  • 财政年份:
    2021
  • 资助金额:
    --
  • 项目类别:
Leveraging tumor registries and pathology specimens to facilitate genetic testing and traceback for ovarian cancer
利用肿瘤登记和病理标本促进卵巢癌的基因检测和追溯
  • 批准号:
    10337328
  • 财政年份:
    2020
  • 资助金额:
    --
  • 项目类别:
Leveraging tumor registries and pathology specimens to facilitate genetic testing and traceback for ovarian cancer
利用肿瘤登记和病理标本促进卵巢癌的基因检测和追溯
  • 批准号:
    10579877
  • 财政年份:
    2020
  • 资助金额:
    --
  • 项目类别:
Genetic Risk Analysis in Ovarian Cancer (GRACE) Administrative Supplement
卵巢癌遗传风险分析 (GRACE) 行政补充
  • 批准号:
    10593883
  • 财政年份:
    2020
  • 资助金额:
    --
  • 项目类别:

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