Cargando…

Innovative computational approaches shed light on genetic mechanisms underlying cognitive impairment among children born extremely preterm

BACKGROUND: Although survival rates for infants born extremely preterm (gestation < 28 weeks) have improved significantly in recent decades, neurodevelopmental impairment remains a major concern. Children born extremely preterm remain at high risk for cognitive impairment from early childhood to...

Descripción completa

Detalles Bibliográficos
Autores principales: Liu, Weifang, Sun, Quan, Huang, Le, Bhattacharya, Arjun, Wang, Geoffery W., Tan, Xianming, Kuban, Karl C. K., Joseph, Robert M., O’Shea, T. Michael, Fry, Rebecca C., Li, Yun, Santos, Hudson P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8903548/
https://www.ncbi.nlm.nih.gov/pubmed/35240980
http://dx.doi.org/10.1186/s11689-022-09429-x
_version_ 1784664762147143680
author Liu, Weifang
Sun, Quan
Huang, Le
Bhattacharya, Arjun
Wang, Geoffery W.
Tan, Xianming
Kuban, Karl C. K.
Joseph, Robert M.
O’Shea, T. Michael
Fry, Rebecca C.
Li, Yun
Santos, Hudson P.
author_facet Liu, Weifang
Sun, Quan
Huang, Le
Bhattacharya, Arjun
Wang, Geoffery W.
Tan, Xianming
Kuban, Karl C. K.
Joseph, Robert M.
O’Shea, T. Michael
Fry, Rebecca C.
Li, Yun
Santos, Hudson P.
author_sort Liu, Weifang
collection PubMed
description BACKGROUND: Although survival rates for infants born extremely preterm (gestation < 28 weeks) have improved significantly in recent decades, neurodevelopmental impairment remains a major concern. Children born extremely preterm remain at high risk for cognitive impairment from early childhood to adulthood. However, there is limited evidence on genetic factors associated with cognitive impairment in this population. METHODS: First, we used a latent profile analysis (LPA) approach to characterize neurocognitive function at age 10 for children born extremely preterm. Children were classified into two groups: (1) no or low cognitive impairment, and (2) moderate-to-severe cognitive impairment. Second, we performed TOPMed-based genotype imputation on samples with genotype array data (n = 528). Third, we then conducted a genome-wide association study (GWAS) for LPA-inferred cognitive impairment. Finally, computational analysis was conducted to explore potential mechanisms underlying the variant x LPA association. RESULTS: We identified two loci reaching genome-wide significance (p value < 5e-8): TEA domain transcription factor 4 (TEAD4 at rs11829294, p value = 2.40e-8) and syntaxin 18 (STX18 at rs79453226, p value = 1.91e-8). Integrative analysis with brain expression quantitative trait loci (eQTL), chromatin conformation, and epigenomic annotations suggests tetraspanin 9 (TSPAN9) and protein arginine methyltransferase 8 (PRMT8) as potential functional genes underlying the GWAS signal at the TEAD4 locus. CONCLUSIONS: We conducted a novel computational analysis by utilizing an LPA-inferred phenotype with genetics data for the first time. This study suggests that rs11829294 and its LD buddies have potential regulatory roles on genes that could impact neurocognitive impairment for extreme preterm born children. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s11689-022-09429-x.
format Online
Article
Text
id pubmed-8903548
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-89035482022-03-18 Innovative computational approaches shed light on genetic mechanisms underlying cognitive impairment among children born extremely preterm Liu, Weifang Sun, Quan Huang, Le Bhattacharya, Arjun Wang, Geoffery W. Tan, Xianming Kuban, Karl C. K. Joseph, Robert M. O’Shea, T. Michael Fry, Rebecca C. Li, Yun Santos, Hudson P. J Neurodev Disord Research BACKGROUND: Although survival rates for infants born extremely preterm (gestation < 28 weeks) have improved significantly in recent decades, neurodevelopmental impairment remains a major concern. Children born extremely preterm remain at high risk for cognitive impairment from early childhood to adulthood. However, there is limited evidence on genetic factors associated with cognitive impairment in this population. METHODS: First, we used a latent profile analysis (LPA) approach to characterize neurocognitive function at age 10 for children born extremely preterm. Children were classified into two groups: (1) no or low cognitive impairment, and (2) moderate-to-severe cognitive impairment. Second, we performed TOPMed-based genotype imputation on samples with genotype array data (n = 528). Third, we then conducted a genome-wide association study (GWAS) for LPA-inferred cognitive impairment. Finally, computational analysis was conducted to explore potential mechanisms underlying the variant x LPA association. RESULTS: We identified two loci reaching genome-wide significance (p value < 5e-8): TEA domain transcription factor 4 (TEAD4 at rs11829294, p value = 2.40e-8) and syntaxin 18 (STX18 at rs79453226, p value = 1.91e-8). Integrative analysis with brain expression quantitative trait loci (eQTL), chromatin conformation, and epigenomic annotations suggests tetraspanin 9 (TSPAN9) and protein arginine methyltransferase 8 (PRMT8) as potential functional genes underlying the GWAS signal at the TEAD4 locus. CONCLUSIONS: We conducted a novel computational analysis by utilizing an LPA-inferred phenotype with genetics data for the first time. This study suggests that rs11829294 and its LD buddies have potential regulatory roles on genes that could impact neurocognitive impairment for extreme preterm born children. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s11689-022-09429-x. BioMed Central 2022-03-03 /pmc/articles/PMC8903548/ /pubmed/35240980 http://dx.doi.org/10.1186/s11689-022-09429-x Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://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
Liu, Weifang
Sun, Quan
Huang, Le
Bhattacharya, Arjun
Wang, Geoffery W.
Tan, Xianming
Kuban, Karl C. K.
Joseph, Robert M.
O’Shea, T. Michael
Fry, Rebecca C.
Li, Yun
Santos, Hudson P.
Innovative computational approaches shed light on genetic mechanisms underlying cognitive impairment among children born extremely preterm
title Innovative computational approaches shed light on genetic mechanisms underlying cognitive impairment among children born extremely preterm
title_full Innovative computational approaches shed light on genetic mechanisms underlying cognitive impairment among children born extremely preterm
title_fullStr Innovative computational approaches shed light on genetic mechanisms underlying cognitive impairment among children born extremely preterm
title_full_unstemmed Innovative computational approaches shed light on genetic mechanisms underlying cognitive impairment among children born extremely preterm
title_short Innovative computational approaches shed light on genetic mechanisms underlying cognitive impairment among children born extremely preterm
title_sort innovative computational approaches shed light on genetic mechanisms underlying cognitive impairment among children born extremely preterm
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8903548/
https://www.ncbi.nlm.nih.gov/pubmed/35240980
http://dx.doi.org/10.1186/s11689-022-09429-x
work_keys_str_mv AT liuweifang innovativecomputationalapproachesshedlightongeneticmechanismsunderlyingcognitiveimpairmentamongchildrenbornextremelypreterm
AT sunquan innovativecomputationalapproachesshedlightongeneticmechanismsunderlyingcognitiveimpairmentamongchildrenbornextremelypreterm
AT huangle innovativecomputationalapproachesshedlightongeneticmechanismsunderlyingcognitiveimpairmentamongchildrenbornextremelypreterm
AT bhattacharyaarjun innovativecomputationalapproachesshedlightongeneticmechanismsunderlyingcognitiveimpairmentamongchildrenbornextremelypreterm
AT wanggeofferyw innovativecomputationalapproachesshedlightongeneticmechanismsunderlyingcognitiveimpairmentamongchildrenbornextremelypreterm
AT tanxianming innovativecomputationalapproachesshedlightongeneticmechanismsunderlyingcognitiveimpairmentamongchildrenbornextremelypreterm
AT kubankarlck innovativecomputationalapproachesshedlightongeneticmechanismsunderlyingcognitiveimpairmentamongchildrenbornextremelypreterm
AT josephrobertm innovativecomputationalapproachesshedlightongeneticmechanismsunderlyingcognitiveimpairmentamongchildrenbornextremelypreterm
AT osheatmichael innovativecomputationalapproachesshedlightongeneticmechanismsunderlyingcognitiveimpairmentamongchildrenbornextremelypreterm
AT fryrebeccac innovativecomputationalapproachesshedlightongeneticmechanismsunderlyingcognitiveimpairmentamongchildrenbornextremelypreterm
AT liyun innovativecomputationalapproachesshedlightongeneticmechanismsunderlyingcognitiveimpairmentamongchildrenbornextremelypreterm
AT santoshudsonp innovativecomputationalapproachesshedlightongeneticmechanismsunderlyingcognitiveimpairmentamongchildrenbornextremelypreterm