Transcriptome-wide association study identified candidate genes associated with gut microbiota

Background Gut microbiota is closely associated with host health and disease occurrence. Host genetic factor plays an important role in shaping gut microbial communities. The specific mechanism of host-regulated gene expression affecting gut microbiota has not been elucidated yet. Here we conducted...
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Autor*in:	Pan, Chuyu [verfasserIn] Ning, Yujie Jia, Yumeng Cheng, Shiqiang Wen, Yan Yang, Xuena Meng, Peilin Li, Chun’e Zhang, Huijie Chen, Yujing Zhang, Jingxi Zhang, Zhen Zhang, Feng

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2021

Schlagwörter:	Gut microbiota Transcriptome-wide association study (TWAS) Genome-wide association study (GWAS) Pathway

Anmerkung:	© The Author(s) 2021

Übergeordnetes Werk:	Enthalten in: Gut pathogens - London : BioMed Central, 2009, 13(2021), 1 vom: 18. Dez.
Übergeordnetes Werk:	volume:13 ; year:2021 ; number:1 ; day:18 ; month:12

Links:	Volltext

DOI / URN:	10.1186/s13099-021-00474-w

Katalog-ID:	SPR050368524

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520			\|a Background Gut microbiota is closely associated with host health and disease occurrence. Host genetic factor plays an important role in shaping gut microbial communities. The specific mechanism of host-regulated gene expression affecting gut microbiota has not been elucidated yet. Here we conducted a transcriptome-wide association study (TWAS) for gut microbiota by leveraging expression imputation from large-scale GWAS data sets. Results TWAS detected multiple tissue-specific candidate genes for gut microbiota, such as FUT2 for genus Bifidobacterium in transverse colon (PPERM.ANL = 1.68 × $ 10^{–3} $) and SFTPD for an unclassified genus of Proteobacteria in transverse colon (PPERM.ANL = 5.69 × $ 10^{–3} $). Fine mapping replicated 3 candidate genes in TWAS, such as HELLS for Streptococcus (PIP = 0.685) in sigmoid colon, ANO7 for Erysipelotrichaceae (PIP = 0.449) in sigmoid colon. Functional analyses detected 94 significant GO terms and 11 pathways for various taxa in total, such as GO_NUCLEOSIDE_DIPHOSPHATASE_ACTIVITY for Butyrivibrio (FDR P = 1.30 × $ 10^{–4} $), KEGG_RENIN_ANGIOTENSIN_SYSTEM for Anaerostipes (FDR P = 3.16 × $ 10^{–2} $). Literature search results showed 12 genes prioritized by TWAS were associated with 12 diseases. For instance, SFTPD for an unclassified genus of Proteobacteria was related to atherosclerosis, and FUT2 for Bifidobacterium was associated with Crohn’s disease. Conclusions Our study results provided novel insights for understanding the genetic mechanism of gut microbiota, and attempted to provide clues for revealing the influence of genetic factors on gut microbiota for the occurrence and development of diseases.
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allfields	10.1186/s13099-021-00474-w doi (DE-627)SPR050368524 (SPR)s13099-021-00474-w-e DE-627 ger DE-627 rakwb eng Pan, Chuyu verfasserin aut Transcriptome-wide association study identified candidate genes associated with gut microbiota 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2021 Background Gut microbiota is closely associated with host health and disease occurrence. Host genetic factor plays an important role in shaping gut microbial communities. The specific mechanism of host-regulated gene expression affecting gut microbiota has not been elucidated yet. Here we conducted a transcriptome-wide association study (TWAS) for gut microbiota by leveraging expression imputation from large-scale GWAS data sets. Results TWAS detected multiple tissue-specific candidate genes for gut microbiota, such as FUT2 for genus Bifidobacterium in transverse colon (PPERM.ANL = 1.68 × $ 10^{–3} $) and SFTPD for an unclassified genus of Proteobacteria in transverse colon (PPERM.ANL = 5.69 × $ 10^{–3} $). Fine mapping replicated 3 candidate genes in TWAS, such as HELLS for Streptococcus (PIP = 0.685) in sigmoid colon, ANO7 for Erysipelotrichaceae (PIP = 0.449) in sigmoid colon. Functional analyses detected 94 significant GO terms and 11 pathways for various taxa in total, such as GO_NUCLEOSIDE_DIPHOSPHATASE_ACTIVITY for Butyrivibrio (FDR P = 1.30 × $ 10^{–4} $), KEGG_RENIN_ANGIOTENSIN_SYSTEM for Anaerostipes (FDR P = 3.16 × $ 10^{–2} $). Literature search results showed 12 genes prioritized by TWAS were associated with 12 diseases. For instance, SFTPD for an unclassified genus of Proteobacteria was related to atherosclerosis, and FUT2 for Bifidobacterium was associated with Crohn’s disease. Conclusions Our study results provided novel insights for understanding the genetic mechanism of gut microbiota, and attempted to provide clues for revealing the influence of genetic factors on gut microbiota for the occurrence and development of diseases. Gut microbiota (dpeaa)DE-He213 Transcriptome-wide association study (TWAS) (dpeaa)DE-He213 Genome-wide association study (GWAS) (dpeaa)DE-He213 Pathway (dpeaa)DE-He213 Ning, Yujie aut Jia, Yumeng aut Cheng, Shiqiang aut Wen, Yan aut Yang, Xuena aut Meng, Peilin aut Li, Chun’e aut Zhang, Huijie aut Chen, Yujing aut Zhang, Jingxi aut Zhang, Zhen aut Zhang, Feng (orcid)0000-0003-1339-5956 aut Enthalten in Gut pathogens London : BioMed Central, 2009 13(2021), 1 vom: 18. Dez. (DE-627)591514133 (DE-600)2478277-4 1757-4749 nnns volume:13 year:2021 number:1 day:18 month:12 https://dx.doi.org/10.1186/s13099-021-00474-w kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 13 2021 1 18 12
spelling	10.1186/s13099-021-00474-w doi (DE-627)SPR050368524 (SPR)s13099-021-00474-w-e DE-627 ger DE-627 rakwb eng Pan, Chuyu verfasserin aut Transcriptome-wide association study identified candidate genes associated with gut microbiota 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2021 Background Gut microbiota is closely associated with host health and disease occurrence. Host genetic factor plays an important role in shaping gut microbial communities. The specific mechanism of host-regulated gene expression affecting gut microbiota has not been elucidated yet. Here we conducted a transcriptome-wide association study (TWAS) for gut microbiota by leveraging expression imputation from large-scale GWAS data sets. Results TWAS detected multiple tissue-specific candidate genes for gut microbiota, such as FUT2 for genus Bifidobacterium in transverse colon (PPERM.ANL = 1.68 × $ 10^{–3} $) and SFTPD for an unclassified genus of Proteobacteria in transverse colon (PPERM.ANL = 5.69 × $ 10^{–3} $). Fine mapping replicated 3 candidate genes in TWAS, such as HELLS for Streptococcus (PIP = 0.685) in sigmoid colon, ANO7 for Erysipelotrichaceae (PIP = 0.449) in sigmoid colon. Functional analyses detected 94 significant GO terms and 11 pathways for various taxa in total, such as GO_NUCLEOSIDE_DIPHOSPHATASE_ACTIVITY for Butyrivibrio (FDR P = 1.30 × $ 10^{–4} $), KEGG_RENIN_ANGIOTENSIN_SYSTEM for Anaerostipes (FDR P = 3.16 × $ 10^{–2} $). Literature search results showed 12 genes prioritized by TWAS were associated with 12 diseases. For instance, SFTPD for an unclassified genus of Proteobacteria was related to atherosclerosis, and FUT2 for Bifidobacterium was associated with Crohn’s disease. Conclusions Our study results provided novel insights for understanding the genetic mechanism of gut microbiota, and attempted to provide clues for revealing the influence of genetic factors on gut microbiota for the occurrence and development of diseases. Gut microbiota (dpeaa)DE-He213 Transcriptome-wide association study (TWAS) (dpeaa)DE-He213 Genome-wide association study (GWAS) (dpeaa)DE-He213 Pathway (dpeaa)DE-He213 Ning, Yujie aut Jia, Yumeng aut Cheng, Shiqiang aut Wen, Yan aut Yang, Xuena aut Meng, Peilin aut Li, Chun’e aut Zhang, Huijie aut Chen, Yujing aut Zhang, Jingxi aut Zhang, Zhen aut Zhang, Feng (orcid)0000-0003-1339-5956 aut Enthalten in Gut pathogens London : BioMed Central, 2009 13(2021), 1 vom: 18. Dez. (DE-627)591514133 (DE-600)2478277-4 1757-4749 nnns volume:13 year:2021 number:1 day:18 month:12 https://dx.doi.org/10.1186/s13099-021-00474-w kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 13 2021 1 18 12
allfields_unstemmed	10.1186/s13099-021-00474-w doi (DE-627)SPR050368524 (SPR)s13099-021-00474-w-e DE-627 ger DE-627 rakwb eng Pan, Chuyu verfasserin aut Transcriptome-wide association study identified candidate genes associated with gut microbiota 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2021 Background Gut microbiota is closely associated with host health and disease occurrence. Host genetic factor plays an important role in shaping gut microbial communities. The specific mechanism of host-regulated gene expression affecting gut microbiota has not been elucidated yet. Here we conducted a transcriptome-wide association study (TWAS) for gut microbiota by leveraging expression imputation from large-scale GWAS data sets. Results TWAS detected multiple tissue-specific candidate genes for gut microbiota, such as FUT2 for genus Bifidobacterium in transverse colon (PPERM.ANL = 1.68 × $ 10^{–3} $) and SFTPD for an unclassified genus of Proteobacteria in transverse colon (PPERM.ANL = 5.69 × $ 10^{–3} $). Fine mapping replicated 3 candidate genes in TWAS, such as HELLS for Streptococcus (PIP = 0.685) in sigmoid colon, ANO7 for Erysipelotrichaceae (PIP = 0.449) in sigmoid colon. Functional analyses detected 94 significant GO terms and 11 pathways for various taxa in total, such as GO_NUCLEOSIDE_DIPHOSPHATASE_ACTIVITY for Butyrivibrio (FDR P = 1.30 × $ 10^{–4} $), KEGG_RENIN_ANGIOTENSIN_SYSTEM for Anaerostipes (FDR P = 3.16 × $ 10^{–2} $). Literature search results showed 12 genes prioritized by TWAS were associated with 12 diseases. For instance, SFTPD for an unclassified genus of Proteobacteria was related to atherosclerosis, and FUT2 for Bifidobacterium was associated with Crohn’s disease. Conclusions Our study results provided novel insights for understanding the genetic mechanism of gut microbiota, and attempted to provide clues for revealing the influence of genetic factors on gut microbiota for the occurrence and development of diseases. Gut microbiota (dpeaa)DE-He213 Transcriptome-wide association study (TWAS) (dpeaa)DE-He213 Genome-wide association study (GWAS) (dpeaa)DE-He213 Pathway (dpeaa)DE-He213 Ning, Yujie aut Jia, Yumeng aut Cheng, Shiqiang aut Wen, Yan aut Yang, Xuena aut Meng, Peilin aut Li, Chun’e aut Zhang, Huijie aut Chen, Yujing aut Zhang, Jingxi aut Zhang, Zhen aut Zhang, Feng (orcid)0000-0003-1339-5956 aut Enthalten in Gut pathogens London : BioMed Central, 2009 13(2021), 1 vom: 18. Dez. (DE-627)591514133 (DE-600)2478277-4 1757-4749 nnns volume:13 year:2021 number:1 day:18 month:12 https://dx.doi.org/10.1186/s13099-021-00474-w kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 13 2021 1 18 12
allfieldsGer	10.1186/s13099-021-00474-w doi (DE-627)SPR050368524 (SPR)s13099-021-00474-w-e DE-627 ger DE-627 rakwb eng Pan, Chuyu verfasserin aut Transcriptome-wide association study identified candidate genes associated with gut microbiota 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2021 Background Gut microbiota is closely associated with host health and disease occurrence. Host genetic factor plays an important role in shaping gut microbial communities. The specific mechanism of host-regulated gene expression affecting gut microbiota has not been elucidated yet. Here we conducted a transcriptome-wide association study (TWAS) for gut microbiota by leveraging expression imputation from large-scale GWAS data sets. Results TWAS detected multiple tissue-specific candidate genes for gut microbiota, such as FUT2 for genus Bifidobacterium in transverse colon (PPERM.ANL = 1.68 × $ 10^{–3} $) and SFTPD for an unclassified genus of Proteobacteria in transverse colon (PPERM.ANL = 5.69 × $ 10^{–3} $). Fine mapping replicated 3 candidate genes in TWAS, such as HELLS for Streptococcus (PIP = 0.685) in sigmoid colon, ANO7 for Erysipelotrichaceae (PIP = 0.449) in sigmoid colon. Functional analyses detected 94 significant GO terms and 11 pathways for various taxa in total, such as GO_NUCLEOSIDE_DIPHOSPHATASE_ACTIVITY for Butyrivibrio (FDR P = 1.30 × $ 10^{–4} $), KEGG_RENIN_ANGIOTENSIN_SYSTEM for Anaerostipes (FDR P = 3.16 × $ 10^{–2} $). Literature search results showed 12 genes prioritized by TWAS were associated with 12 diseases. For instance, SFTPD for an unclassified genus of Proteobacteria was related to atherosclerosis, and FUT2 for Bifidobacterium was associated with Crohn’s disease. Conclusions Our study results provided novel insights for understanding the genetic mechanism of gut microbiota, and attempted to provide clues for revealing the influence of genetic factors on gut microbiota for the occurrence and development of diseases. Gut microbiota (dpeaa)DE-He213 Transcriptome-wide association study (TWAS) (dpeaa)DE-He213 Genome-wide association study (GWAS) (dpeaa)DE-He213 Pathway (dpeaa)DE-He213 Ning, Yujie aut Jia, Yumeng aut Cheng, Shiqiang aut Wen, Yan aut Yang, Xuena aut Meng, Peilin aut Li, Chun’e aut Zhang, Huijie aut Chen, Yujing aut Zhang, Jingxi aut Zhang, Zhen aut Zhang, Feng (orcid)0000-0003-1339-5956 aut Enthalten in Gut pathogens London : BioMed Central, 2009 13(2021), 1 vom: 18. Dez. (DE-627)591514133 (DE-600)2478277-4 1757-4749 nnns volume:13 year:2021 number:1 day:18 month:12 https://dx.doi.org/10.1186/s13099-021-00474-w kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 13 2021 1 18 12
allfieldsSound	10.1186/s13099-021-00474-w doi (DE-627)SPR050368524 (SPR)s13099-021-00474-w-e DE-627 ger DE-627 rakwb eng Pan, Chuyu verfasserin aut Transcriptome-wide association study identified candidate genes associated with gut microbiota 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2021 Background Gut microbiota is closely associated with host health and disease occurrence. Host genetic factor plays an important role in shaping gut microbial communities. The specific mechanism of host-regulated gene expression affecting gut microbiota has not been elucidated yet. Here we conducted a transcriptome-wide association study (TWAS) for gut microbiota by leveraging expression imputation from large-scale GWAS data sets. Results TWAS detected multiple tissue-specific candidate genes for gut microbiota, such as FUT2 for genus Bifidobacterium in transverse colon (PPERM.ANL = 1.68 × $ 10^{–3} $) and SFTPD for an unclassified genus of Proteobacteria in transverse colon (PPERM.ANL = 5.69 × $ 10^{–3} $). Fine mapping replicated 3 candidate genes in TWAS, such as HELLS for Streptococcus (PIP = 0.685) in sigmoid colon, ANO7 for Erysipelotrichaceae (PIP = 0.449) in sigmoid colon. Functional analyses detected 94 significant GO terms and 11 pathways for various taxa in total, such as GO_NUCLEOSIDE_DIPHOSPHATASE_ACTIVITY for Butyrivibrio (FDR P = 1.30 × $ 10^{–4} $), KEGG_RENIN_ANGIOTENSIN_SYSTEM for Anaerostipes (FDR P = 3.16 × $ 10^{–2} $). Literature search results showed 12 genes prioritized by TWAS were associated with 12 diseases. For instance, SFTPD for an unclassified genus of Proteobacteria was related to atherosclerosis, and FUT2 for Bifidobacterium was associated with Crohn’s disease. Conclusions Our study results provided novel insights for understanding the genetic mechanism of gut microbiota, and attempted to provide clues for revealing the influence of genetic factors on gut microbiota for the occurrence and development of diseases. Gut microbiota (dpeaa)DE-He213 Transcriptome-wide association study (TWAS) (dpeaa)DE-He213 Genome-wide association study (GWAS) (dpeaa)DE-He213 Pathway (dpeaa)DE-He213 Ning, Yujie aut Jia, Yumeng aut Cheng, Shiqiang aut Wen, Yan aut Yang, Xuena aut Meng, Peilin aut Li, Chun’e aut Zhang, Huijie aut Chen, Yujing aut Zhang, Jingxi aut Zhang, Zhen aut Zhang, Feng (orcid)0000-0003-1339-5956 aut Enthalten in Gut pathogens London : BioMed Central, 2009 13(2021), 1 vom: 18. Dez. (DE-627)591514133 (DE-600)2478277-4 1757-4749 nnns volume:13 year:2021 number:1 day:18 month:12 https://dx.doi.org/10.1186/s13099-021-00474-w kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 13 2021 1 18 12
language	English
source	Enthalten in Gut pathogens 13(2021), 1 vom: 18. Dez. volume:13 year:2021 number:1 day:18 month:12
sourceStr	Enthalten in Gut pathogens 13(2021), 1 vom: 18. Dez. volume:13 year:2021 number:1 day:18 month:12
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Gut microbiota Transcriptome-wide association study (TWAS) Genome-wide association study (GWAS) Pathway
isfreeaccess_bool	true
container_title	Gut pathogens
authorswithroles_txt_mv	Pan, Chuyu @@aut@@ Ning, Yujie @@aut@@ Jia, Yumeng @@aut@@ Cheng, Shiqiang @@aut@@ Wen, Yan @@aut@@ Yang, Xuena @@aut@@ Meng, Peilin @@aut@@ Li, Chun’e @@aut@@ Zhang, Huijie @@aut@@ Chen, Yujing @@aut@@ Zhang, Jingxi @@aut@@ Zhang, Zhen @@aut@@ Zhang, Feng @@aut@@
publishDateDaySort_date	2021-12-18T00:00:00Z
hierarchy_top_id	591514133
id	SPR050368524
language_de	englisch
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Functional analyses detected 94 significant GO terms and 11 pathways for various taxa in total, such as GO_NUCLEOSIDE_DIPHOSPHATASE_ACTIVITY for Butyrivibrio (FDR P = 1.30 × $ 10^{–4} $), KEGG_RENIN_ANGIOTENSIN_SYSTEM for Anaerostipes (FDR P = 3.16 × $ 10^{–2} $). Literature search results showed 12 genes prioritized by TWAS were associated with 12 diseases. For instance, SFTPD for an unclassified genus of Proteobacteria was related to atherosclerosis, and FUT2 for Bifidobacterium was associated with Crohn’s disease. 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author	Pan, Chuyu
spellingShingle	Pan, Chuyu misc Gut microbiota misc Transcriptome-wide association study (TWAS) misc Genome-wide association study (GWAS) misc Pathway Transcriptome-wide association study identified candidate genes associated with gut microbiota
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topic_title	Transcriptome-wide association study identified candidate genes associated with gut microbiota Gut microbiota (dpeaa)DE-He213 Transcriptome-wide association study (TWAS) (dpeaa)DE-He213 Genome-wide association study (GWAS) (dpeaa)DE-He213 Pathway (dpeaa)DE-He213
topic	misc Gut microbiota misc Transcriptome-wide association study (TWAS) misc Genome-wide association study (GWAS) misc Pathway
topic_unstemmed	misc Gut microbiota misc Transcriptome-wide association study (TWAS) misc Genome-wide association study (GWAS) misc Pathway
topic_browse	misc Gut microbiota misc Transcriptome-wide association study (TWAS) misc Genome-wide association study (GWAS) misc Pathway
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title	Transcriptome-wide association study identified candidate genes associated with gut microbiota
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title_full	Transcriptome-wide association study identified candidate genes associated with gut microbiota
author_sort	Pan, Chuyu
journal	Gut pathogens
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author_browse	Pan, Chuyu Ning, Yujie Jia, Yumeng Cheng, Shiqiang Wen, Yan Yang, Xuena Meng, Peilin Li, Chun’e Zhang, Huijie Chen, Yujing Zhang, Jingxi Zhang, Zhen Zhang, Feng
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author-letter	Pan, Chuyu
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title_sort	transcriptome-wide association study identified candidate genes associated with gut microbiota
title_auth	Transcriptome-wide association study identified candidate genes associated with gut microbiota
abstract	Background Gut microbiota is closely associated with host health and disease occurrence. Host genetic factor plays an important role in shaping gut microbial communities. The specific mechanism of host-regulated gene expression affecting gut microbiota has not been elucidated yet. Here we conducted a transcriptome-wide association study (TWAS) for gut microbiota by leveraging expression imputation from large-scale GWAS data sets. Results TWAS detected multiple tissue-specific candidate genes for gut microbiota, such as FUT2 for genus Bifidobacterium in transverse colon (PPERM.ANL = 1.68 × $ 10^{–3} $) and SFTPD for an unclassified genus of Proteobacteria in transverse colon (PPERM.ANL = 5.69 × $ 10^{–3} $). Fine mapping replicated 3 candidate genes in TWAS, such as HELLS for Streptococcus (PIP = 0.685) in sigmoid colon, ANO7 for Erysipelotrichaceae (PIP = 0.449) in sigmoid colon. Functional analyses detected 94 significant GO terms and 11 pathways for various taxa in total, such as GO_NUCLEOSIDE_DIPHOSPHATASE_ACTIVITY for Butyrivibrio (FDR P = 1.30 × $ 10^{–4} $), KEGG_RENIN_ANGIOTENSIN_SYSTEM for Anaerostipes (FDR P = 3.16 × $ 10^{–2} $). Literature search results showed 12 genes prioritized by TWAS were associated with 12 diseases. For instance, SFTPD for an unclassified genus of Proteobacteria was related to atherosclerosis, and FUT2 for Bifidobacterium was associated with Crohn’s disease. Conclusions Our study results provided novel insights for understanding the genetic mechanism of gut microbiota, and attempted to provide clues for revealing the influence of genetic factors on gut microbiota for the occurrence and development of diseases. © The Author(s) 2021
abstractGer	Background Gut microbiota is closely associated with host health and disease occurrence. Host genetic factor plays an important role in shaping gut microbial communities. The specific mechanism of host-regulated gene expression affecting gut microbiota has not been elucidated yet. Here we conducted a transcriptome-wide association study (TWAS) for gut microbiota by leveraging expression imputation from large-scale GWAS data sets. Results TWAS detected multiple tissue-specific candidate genes for gut microbiota, such as FUT2 for genus Bifidobacterium in transverse colon (PPERM.ANL = 1.68 × $ 10^{–3} $) and SFTPD for an unclassified genus of Proteobacteria in transverse colon (PPERM.ANL = 5.69 × $ 10^{–3} $). Fine mapping replicated 3 candidate genes in TWAS, such as HELLS for Streptococcus (PIP = 0.685) in sigmoid colon, ANO7 for Erysipelotrichaceae (PIP = 0.449) in sigmoid colon. Functional analyses detected 94 significant GO terms and 11 pathways for various taxa in total, such as GO_NUCLEOSIDE_DIPHOSPHATASE_ACTIVITY for Butyrivibrio (FDR P = 1.30 × $ 10^{–4} $), KEGG_RENIN_ANGIOTENSIN_SYSTEM for Anaerostipes (FDR P = 3.16 × $ 10^{–2} $). Literature search results showed 12 genes prioritized by TWAS were associated with 12 diseases. For instance, SFTPD for an unclassified genus of Proteobacteria was related to atherosclerosis, and FUT2 for Bifidobacterium was associated with Crohn’s disease. Conclusions Our study results provided novel insights for understanding the genetic mechanism of gut microbiota, and attempted to provide clues for revealing the influence of genetic factors on gut microbiota for the occurrence and development of diseases. © The Author(s) 2021
abstract_unstemmed	Background Gut microbiota is closely associated with host health and disease occurrence. Host genetic factor plays an important role in shaping gut microbial communities. The specific mechanism of host-regulated gene expression affecting gut microbiota has not been elucidated yet. Here we conducted a transcriptome-wide association study (TWAS) for gut microbiota by leveraging expression imputation from large-scale GWAS data sets. Results TWAS detected multiple tissue-specific candidate genes for gut microbiota, such as FUT2 for genus Bifidobacterium in transverse colon (PPERM.ANL = 1.68 × $ 10^{–3} $) and SFTPD for an unclassified genus of Proteobacteria in transverse colon (PPERM.ANL = 5.69 × $ 10^{–3} $). Fine mapping replicated 3 candidate genes in TWAS, such as HELLS for Streptococcus (PIP = 0.685) in sigmoid colon, ANO7 for Erysipelotrichaceae (PIP = 0.449) in sigmoid colon. Functional analyses detected 94 significant GO terms and 11 pathways for various taxa in total, such as GO_NUCLEOSIDE_DIPHOSPHATASE_ACTIVITY for Butyrivibrio (FDR P = 1.30 × $ 10^{–4} $), KEGG_RENIN_ANGIOTENSIN_SYSTEM for Anaerostipes (FDR P = 3.16 × $ 10^{–2} $). Literature search results showed 12 genes prioritized by TWAS were associated with 12 diseases. For instance, SFTPD for an unclassified genus of Proteobacteria was related to atherosclerosis, and FUT2 for Bifidobacterium was associated with Crohn’s disease. Conclusions Our study results provided novel insights for understanding the genetic mechanism of gut microbiota, and attempted to provide clues for revealing the influence of genetic factors on gut microbiota for the occurrence and development of diseases. © The Author(s) 2021
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title_short	Transcriptome-wide association study identified candidate genes associated with gut microbiota
url	https://dx.doi.org/10.1186/s13099-021-00474-w
remote_bool	true
author2	Ning, Yujie Jia, Yumeng Cheng, Shiqiang Wen, Yan Yang, Xuena Meng, Peilin Li, Chun’e Zhang, Huijie Chen, Yujing Zhang, Jingxi Zhang, Zhen Zhang, Feng
author2Str	Ning, Yujie Jia, Yumeng Cheng, Shiqiang Wen, Yan Yang, Xuena Meng, Peilin Li, Chun’e Zhang, Huijie Chen, Yujing Zhang, Jingxi Zhang, Zhen Zhang, Feng
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