Using Polygenic Profiles to Predict Variation in Language and Psychosocial Outcomes in Early and Middle Childhood

Dianne F.  Newbury; Jenny L Gibson; Gina Conti-Ramsden; Andrew Pickles; Kevin Durkin; Umar Toseeb

Using Polygenic Profiles to Predict Variation in Language and Psychosocial Outcomes in Early and Middle Childhood

Dianne F. Newbury, Jenny L Gibson, Gina Conti-Ramsden, Andrew Pickles, Kevin Durkin, Umar Toseeb

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Abstract

Purpose: Children with poor language tend to have worse psychosocial outcomes compared to their typically developing peers. The most common explanations for such adversities focus on developmental psychological processes whereby poor language triggers psychosocial difficulties. Here we investigate the possibility of shared biological effects by considering whether the same genetic variants which are thought to influence language development are also predictors of elevated psychosocial difficulties during childhood. Method: Using data from the UK based Avon Longitudinal Study of Parents and Children (ALSPAC) we created a number of multi-SNP polygenic profile scores, based on language and reading candidate genes (ATP2C2, CMIP, CNTNAP2, DCDC2, FOXP2, & KIAA0319, 1229 SNPs) in a sample of 5,435 children. Results: A polygenic profile score for expressive language (8 years) that was created in a discovery sample (n=2,718), predicted not only expressive language (8 years), but also peer problems (11 years) in a replication sample (n=2,717). Conclusions: These findings provide a proof of concept for the use of such a polygenic approach in child language research when larger datasets become available. Our indicative findings suggest consideration should be given to concurrent intervention targeting both linguistic and psychosocial development as early language interventions may not stave off later psychosocial difficulties in children.

Original language	English
Journal	Journal of Speech, Language, and Hearing Research
Publication status	Accepted/In press - 30 Apr 2019

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title = "Using Polygenic Profiles to Predict Variation in Language and Psychosocial Outcomes in Early and Middle Childhood",

abstract = "Purpose: Children with poor language tend to have worse psychosocial outcomes compared to their typically developing peers. The most common explanations for such adversities focus on developmental psychological processes whereby poor language triggers psychosocial difficulties. Here we investigate the possibility of shared biological effects by considering whether the same genetic variants which are thought to influence language development are also predictors of elevated psychosocial difficulties during childhood. Method: Using data from the UK based Avon Longitudinal Study of Parents and Children (ALSPAC) we created a number of multi-SNP polygenic profile scores, based on language and reading candidate genes (ATP2C2, CMIP, CNTNAP2, DCDC2, FOXP2, & KIAA0319, 1229 SNPs) in a sample of 5,435 children. Results: A polygenic profile score for expressive language (8 years) that was created in a discovery sample (n=2,718), predicted not only expressive language (8 years), but also peer problems (11 years) in a replication sample (n=2,717). Conclusions: These findings provide a proof of concept for the use of such a polygenic approach in child language research when larger datasets become available. Our indicative findings suggest consideration should be given to concurrent intervention targeting both linguistic and psychosocial development as early language interventions may not stave off later psychosocial difficulties in children. ",

author = "Newbury, {Dianne F.} and Gibson, {Jenny L} and Gina Conti-Ramsden and Andrew Pickles and Kevin Durkin and Umar Toseeb",

year = "2019",

month = apr,

day = "30",

language = "English",

journal = "Journal of Speech, Language, and Hearing Research",

issn = "1092-4388",

publisher = "American Speech-Language-Hearing Association",

}

TY - JOUR

T1 - Using Polygenic Profiles to Predict Variation in Language and Psychosocial Outcomes in Early and Middle Childhood

AU - Newbury, Dianne F.

AU - Gibson, Jenny L

AU - Conti-Ramsden, Gina

AU - Pickles, Andrew

AU - Durkin, Kevin

AU - Toseeb, Umar

PY - 2019/4/30

Y1 - 2019/4/30

N2 - Purpose: Children with poor language tend to have worse psychosocial outcomes compared to their typically developing peers. The most common explanations for such adversities focus on developmental psychological processes whereby poor language triggers psychosocial difficulties. Here we investigate the possibility of shared biological effects by considering whether the same genetic variants which are thought to influence language development are also predictors of elevated psychosocial difficulties during childhood. Method: Using data from the UK based Avon Longitudinal Study of Parents and Children (ALSPAC) we created a number of multi-SNP polygenic profile scores, based on language and reading candidate genes (ATP2C2, CMIP, CNTNAP2, DCDC2, FOXP2, & KIAA0319, 1229 SNPs) in a sample of 5,435 children. Results: A polygenic profile score for expressive language (8 years) that was created in a discovery sample (n=2,718), predicted not only expressive language (8 years), but also peer problems (11 years) in a replication sample (n=2,717). Conclusions: These findings provide a proof of concept for the use of such a polygenic approach in child language research when larger datasets become available. Our indicative findings suggest consideration should be given to concurrent intervention targeting both linguistic and psychosocial development as early language interventions may not stave off later psychosocial difficulties in children.

AB - Purpose: Children with poor language tend to have worse psychosocial outcomes compared to their typically developing peers. The most common explanations for such adversities focus on developmental psychological processes whereby poor language triggers psychosocial difficulties. Here we investigate the possibility of shared biological effects by considering whether the same genetic variants which are thought to influence language development are also predictors of elevated psychosocial difficulties during childhood. Method: Using data from the UK based Avon Longitudinal Study of Parents and Children (ALSPAC) we created a number of multi-SNP polygenic profile scores, based on language and reading candidate genes (ATP2C2, CMIP, CNTNAP2, DCDC2, FOXP2, & KIAA0319, 1229 SNPs) in a sample of 5,435 children. Results: A polygenic profile score for expressive language (8 years) that was created in a discovery sample (n=2,718), predicted not only expressive language (8 years), but also peer problems (11 years) in a replication sample (n=2,717). Conclusions: These findings provide a proof of concept for the use of such a polygenic approach in child language research when larger datasets become available. Our indicative findings suggest consideration should be given to concurrent intervention targeting both linguistic and psychosocial development as early language interventions may not stave off later psychosocial difficulties in children.

M3 - Article

SN - 1092-4388

JO - Journal of Speech, Language, and Hearing Research

JF - Journal of Speech, Language, and Hearing Research

ER -

Using Polygenic Profiles to Predict Variation in Language and Psychosocial Outcomes in Early and Middle Childhood

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