Adjusting head circumference for covariates in autism: Clinical correlates of a highly heritable continuous trait

Pauline Chaste, Lambertus Klei, Stephan J. Sanders, Michael T. Murtha, Vanessa Hus, Jennifer K. Lowe, A. Jeremy Willsey, Daniel Moreno-De-Luca, Timothy W. Yu, Eric Fombonne, Daniel Geschwind, Dorothy E. Grice, David H. Ledbetter, Catherine Lord, Shrikant M. Mane, Christa Lese Martin, Donna M. Martin, Eric M. Morrow, Christopher A. Walsh, James S. SutcliffeMatthew W. State, Bernie Devlin, Edwin H. Cook, Soo Jeong Kim

Research output: Contribution to journalArticle

48 Citations (Scopus)

Abstract

Background Brain development follows a different trajectory in children with autism spectrum disorders (ASD) than in typically developing children. A proxy for neurodevelopment could be head circumference (HC), but studies assessing HC and its clinical correlates in ASD have been inconsistent. This study investigates HC and clinical correlates in the Simons Simplex Collection cohort. Methods We used a mixed linear model to estimate effects of covariates and the deviation from the expected HC given parental HC (genetic deviation). After excluding individuals with incomplete data, 7225 individuals in 1891 families remained for analysis. We examined the relationship between HC/genetic deviation of HC and clinical parameters. Results Gender, age, height, weight, genetic ancestry, and ASD status were significant predictors of HC (estimate of the ASD effect =.2 cm). HC was approximately normally distributed in probands and unaffected relatives, with only a few outliers. Genetic deviation of HC was also normally distributed, consistent with a random sampling of parental genes. Whereas larger HC than expected was associated with ASD symptom severity and regression, IQ decreased with the absolute value of the genetic deviation of HC. Conclusions Measured against expected values derived from covariates of ASD subjects, statistical outliers for HC were uncommon. HC is a strongly heritable trait, and population norms for HC would be far more accurate if covariates including genetic ancestry, height, and age were taken into account. The association of diminishing IQ with absolute deviation from predicted HC values suggests HC could reflect subtle underlying brain development and warrants further investigation.

Original languageEnglish (US)
Pages (from-to)576-584
Number of pages9
JournalBiological Psychiatry
Volume74
Issue number8
DOIs
StatePublished - Oct 15 2013

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Autistic Disorder
Head
Brain
Proxy
Autism Spectrum Disorder
Linear Models

Keywords

  • ASD
  • autism spectrum disorder
  • body metrics
  • genetic ancestry
  • head circumference
  • IQ

ASJC Scopus subject areas

  • Biological Psychiatry

Cite this

Adjusting head circumference for covariates in autism : Clinical correlates of a highly heritable continuous trait. / Chaste, Pauline; Klei, Lambertus; Sanders, Stephan J.; Murtha, Michael T.; Hus, Vanessa; Lowe, Jennifer K.; Willsey, A. Jeremy; Moreno-De-Luca, Daniel; Yu, Timothy W.; Fombonne, Eric; Geschwind, Daniel; Grice, Dorothy E.; Ledbetter, David H.; Lord, Catherine; Mane, Shrikant M.; Lese Martin, Christa; Martin, Donna M.; Morrow, Eric M.; Walsh, Christopher A.; Sutcliffe, James S.; State, Matthew W.; Devlin, Bernie; Cook, Edwin H.; Kim, Soo Jeong.

In: Biological Psychiatry, Vol. 74, No. 8, 15.10.2013, p. 576-584.

Research output: Contribution to journalArticle

Chaste, P, Klei, L, Sanders, SJ, Murtha, MT, Hus, V, Lowe, JK, Willsey, AJ, Moreno-De-Luca, D, Yu, TW, Fombonne, E, Geschwind, D, Grice, DE, Ledbetter, DH, Lord, C, Mane, SM, Lese Martin, C, Martin, DM, Morrow, EM, Walsh, CA, Sutcliffe, JS, State, MW, Devlin, B, Cook, EH & Kim, SJ 2013, 'Adjusting head circumference for covariates in autism: Clinical correlates of a highly heritable continuous trait', Biological Psychiatry, vol. 74, no. 8, pp. 576-584. https://doi.org/10.1016/j.biopsych.2013.04.018
Chaste, Pauline ; Klei, Lambertus ; Sanders, Stephan J. ; Murtha, Michael T. ; Hus, Vanessa ; Lowe, Jennifer K. ; Willsey, A. Jeremy ; Moreno-De-Luca, Daniel ; Yu, Timothy W. ; Fombonne, Eric ; Geschwind, Daniel ; Grice, Dorothy E. ; Ledbetter, David H. ; Lord, Catherine ; Mane, Shrikant M. ; Lese Martin, Christa ; Martin, Donna M. ; Morrow, Eric M. ; Walsh, Christopher A. ; Sutcliffe, James S. ; State, Matthew W. ; Devlin, Bernie ; Cook, Edwin H. ; Kim, Soo Jeong. / Adjusting head circumference for covariates in autism : Clinical correlates of a highly heritable continuous trait. In: Biological Psychiatry. 2013 ; Vol. 74, No. 8. pp. 576-584.
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abstract = "Background Brain development follows a different trajectory in children with autism spectrum disorders (ASD) than in typically developing children. A proxy for neurodevelopment could be head circumference (HC), but studies assessing HC and its clinical correlates in ASD have been inconsistent. This study investigates HC and clinical correlates in the Simons Simplex Collection cohort. Methods We used a mixed linear model to estimate effects of covariates and the deviation from the expected HC given parental HC (genetic deviation). After excluding individuals with incomplete data, 7225 individuals in 1891 families remained for analysis. We examined the relationship between HC/genetic deviation of HC and clinical parameters. Results Gender, age, height, weight, genetic ancestry, and ASD status were significant predictors of HC (estimate of the ASD effect =.2 cm). HC was approximately normally distributed in probands and unaffected relatives, with only a few outliers. Genetic deviation of HC was also normally distributed, consistent with a random sampling of parental genes. Whereas larger HC than expected was associated with ASD symptom severity and regression, IQ decreased with the absolute value of the genetic deviation of HC. Conclusions Measured against expected values derived from covariates of ASD subjects, statistical outliers for HC were uncommon. HC is a strongly heritable trait, and population norms for HC would be far more accurate if covariates including genetic ancestry, height, and age were taken into account. The association of diminishing IQ with absolute deviation from predicted HC values suggests HC could reflect subtle underlying brain development and warrants further investigation.",
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T1 - Adjusting head circumference for covariates in autism

T2 - Clinical correlates of a highly heritable continuous trait

AU - Chaste, Pauline

AU - Klei, Lambertus

AU - Sanders, Stephan J.

AU - Murtha, Michael T.

AU - Hus, Vanessa

AU - Lowe, Jennifer K.

AU - Willsey, A. Jeremy

AU - Moreno-De-Luca, Daniel

AU - Yu, Timothy W.

AU - Fombonne, Eric

AU - Geschwind, Daniel

AU - Grice, Dorothy E.

AU - Ledbetter, David H.

AU - Lord, Catherine

AU - Mane, Shrikant M.

AU - Lese Martin, Christa

AU - Martin, Donna M.

AU - Morrow, Eric M.

AU - Walsh, Christopher A.

AU - Sutcliffe, James S.

AU - State, Matthew W.

AU - Devlin, Bernie

AU - Cook, Edwin H.

AU - Kim, Soo Jeong

PY - 2013/10/15

Y1 - 2013/10/15

N2 - Background Brain development follows a different trajectory in children with autism spectrum disorders (ASD) than in typically developing children. A proxy for neurodevelopment could be head circumference (HC), but studies assessing HC and its clinical correlates in ASD have been inconsistent. This study investigates HC and clinical correlates in the Simons Simplex Collection cohort. Methods We used a mixed linear model to estimate effects of covariates and the deviation from the expected HC given parental HC (genetic deviation). After excluding individuals with incomplete data, 7225 individuals in 1891 families remained for analysis. We examined the relationship between HC/genetic deviation of HC and clinical parameters. Results Gender, age, height, weight, genetic ancestry, and ASD status were significant predictors of HC (estimate of the ASD effect =.2 cm). HC was approximately normally distributed in probands and unaffected relatives, with only a few outliers. Genetic deviation of HC was also normally distributed, consistent with a random sampling of parental genes. Whereas larger HC than expected was associated with ASD symptom severity and regression, IQ decreased with the absolute value of the genetic deviation of HC. Conclusions Measured against expected values derived from covariates of ASD subjects, statistical outliers for HC were uncommon. HC is a strongly heritable trait, and population norms for HC would be far more accurate if covariates including genetic ancestry, height, and age were taken into account. The association of diminishing IQ with absolute deviation from predicted HC values suggests HC could reflect subtle underlying brain development and warrants further investigation.

AB - Background Brain development follows a different trajectory in children with autism spectrum disorders (ASD) than in typically developing children. A proxy for neurodevelopment could be head circumference (HC), but studies assessing HC and its clinical correlates in ASD have been inconsistent. This study investigates HC and clinical correlates in the Simons Simplex Collection cohort. Methods We used a mixed linear model to estimate effects of covariates and the deviation from the expected HC given parental HC (genetic deviation). After excluding individuals with incomplete data, 7225 individuals in 1891 families remained for analysis. We examined the relationship between HC/genetic deviation of HC and clinical parameters. Results Gender, age, height, weight, genetic ancestry, and ASD status were significant predictors of HC (estimate of the ASD effect =.2 cm). HC was approximately normally distributed in probands and unaffected relatives, with only a few outliers. Genetic deviation of HC was also normally distributed, consistent with a random sampling of parental genes. Whereas larger HC than expected was associated with ASD symptom severity and regression, IQ decreased with the absolute value of the genetic deviation of HC. Conclusions Measured against expected values derived from covariates of ASD subjects, statistical outliers for HC were uncommon. HC is a strongly heritable trait, and population norms for HC would be far more accurate if covariates including genetic ancestry, height, and age were taken into account. The association of diminishing IQ with absolute deviation from predicted HC values suggests HC could reflect subtle underlying brain development and warrants further investigation.

KW - ASD

KW - autism spectrum disorder

KW - body metrics

KW - genetic ancestry

KW - head circumference

KW - IQ

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