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Exploring the novel SNPs in neuroticism and birth weight based on GWAS datasets

OBJECTIVES: Epidemiological studies have confirmed that low birth weight (BW) is related to neuroticism and they may have a common genetic mechanism based on phenotypic correlation research. We conducted our study on a European population with 159,208 neuroticism and 289,142 birth weight samples. In...

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Autores principales: Zhou, Xiao-Ying, Liu, Rui-Ke, Zeng, Chun-Ping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10349512/
https://www.ncbi.nlm.nih.gov/pubmed/37454083
http://dx.doi.org/10.1186/s12920-023-01591-y
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author Zhou, Xiao-Ying
Liu, Rui-Ke
Zeng, Chun-Ping
author_facet Zhou, Xiao-Ying
Liu, Rui-Ke
Zeng, Chun-Ping
author_sort Zhou, Xiao-Ying
collection PubMed
description OBJECTIVES: Epidemiological studies have confirmed that low birth weight (BW) is related to neuroticism and they may have a common genetic mechanism based on phenotypic correlation research. We conducted our study on a European population with 159,208 neuroticism and 289,142 birth weight samples. In this study, we aimed to identify new neuroticism single nucleotide polymorphisms (SNPs) and pleiotropic SNPs associated with neuroticism and BW and to provide more theoretical basis for the pathogenesis of the disease. METHODS: We estimated the pleiotropic enrichment between neuroticism and BW in two independent Genome-wide association studies (GWAS) when the statistical thresholds were Conditional False Discovery Rate (cFDR) < 0.01 and Conjunctional Conditional False Discovery Rate (ccFDR) < 0.05. We performed gene annotation and gene functional analysis on the selected significant SNPs to determine the biological role of gene function and pathogenesis. Two-sample Mendelian Randomization (TSMR) analysis was performed to explore the causal relationship between the neuroticism and BW. RESULTS: The conditional quantile–quantile plots (Q-Q plot) indicated that neuroticism and BW have strong genetic pleiotropy enrichment trends. With the threshold of cFDR < 0.001, we identified 126 SNPs related to neuroticism and 172 SNPs related to BW. With the threshold of ccFDR < 0.05, we identified 62 SNPs related to both neuroticism and BW. Among these SNPs, rs8039305 and rs35755513 have eQTL (expressed quantitative trait loci) and meQTL (methylation quantitative trait loci) effects simultaneously. Through GO enrichment analysis we also found that the two pathways of positive regulation of “mesenchymal cell proliferation” and “DNA-binding transcription factor activity” were significantly enriched in neuroticism and BW. Mendelian randomization analysis results indicate that there is no obvious causal relationship between neuroticism and birth weight. CONCLUSION: We found 126 SNPs related to neuroticism, 172 SNPs related to BW and 62 SNPs associated with both neuroticism and BW, which provided a theoretical basis for their genetic mechanism and novel potential targets for treatment/intervention development. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12920-023-01591-y.
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spelling pubmed-103495122023-07-16 Exploring the novel SNPs in neuroticism and birth weight based on GWAS datasets Zhou, Xiao-Ying Liu, Rui-Ke Zeng, Chun-Ping BMC Med Genomics Research OBJECTIVES: Epidemiological studies have confirmed that low birth weight (BW) is related to neuroticism and they may have a common genetic mechanism based on phenotypic correlation research. We conducted our study on a European population with 159,208 neuroticism and 289,142 birth weight samples. In this study, we aimed to identify new neuroticism single nucleotide polymorphisms (SNPs) and pleiotropic SNPs associated with neuroticism and BW and to provide more theoretical basis for the pathogenesis of the disease. METHODS: We estimated the pleiotropic enrichment between neuroticism and BW in two independent Genome-wide association studies (GWAS) when the statistical thresholds were Conditional False Discovery Rate (cFDR) < 0.01 and Conjunctional Conditional False Discovery Rate (ccFDR) < 0.05. We performed gene annotation and gene functional analysis on the selected significant SNPs to determine the biological role of gene function and pathogenesis. Two-sample Mendelian Randomization (TSMR) analysis was performed to explore the causal relationship between the neuroticism and BW. RESULTS: The conditional quantile–quantile plots (Q-Q plot) indicated that neuroticism and BW have strong genetic pleiotropy enrichment trends. With the threshold of cFDR < 0.001, we identified 126 SNPs related to neuroticism and 172 SNPs related to BW. With the threshold of ccFDR < 0.05, we identified 62 SNPs related to both neuroticism and BW. Among these SNPs, rs8039305 and rs35755513 have eQTL (expressed quantitative trait loci) and meQTL (methylation quantitative trait loci) effects simultaneously. Through GO enrichment analysis we also found that the two pathways of positive regulation of “mesenchymal cell proliferation” and “DNA-binding transcription factor activity” were significantly enriched in neuroticism and BW. Mendelian randomization analysis results indicate that there is no obvious causal relationship between neuroticism and birth weight. CONCLUSION: We found 126 SNPs related to neuroticism, 172 SNPs related to BW and 62 SNPs associated with both neuroticism and BW, which provided a theoretical basis for their genetic mechanism and novel potential targets for treatment/intervention development. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12920-023-01591-y. BioMed Central 2023-07-15 /pmc/articles/PMC10349512/ /pubmed/37454083 http://dx.doi.org/10.1186/s12920-023-01591-y Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This 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
Zhou, Xiao-Ying
Liu, Rui-Ke
Zeng, Chun-Ping
Exploring the novel SNPs in neuroticism and birth weight based on GWAS datasets
title Exploring the novel SNPs in neuroticism and birth weight based on GWAS datasets
title_full Exploring the novel SNPs in neuroticism and birth weight based on GWAS datasets
title_fullStr Exploring the novel SNPs in neuroticism and birth weight based on GWAS datasets
title_full_unstemmed Exploring the novel SNPs in neuroticism and birth weight based on GWAS datasets
title_short Exploring the novel SNPs in neuroticism and birth weight based on GWAS datasets
title_sort exploring the novel snps in neuroticism and birth weight based on gwas datasets
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10349512/
https://www.ncbi.nlm.nih.gov/pubmed/37454083
http://dx.doi.org/10.1186/s12920-023-01591-y
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