The effect of age on DNA methylation in whole blood among Bangladeshi men and women

Background It is well-known that methylation changes occur as humans age, however, understanding how age-related changes in DNA methylation vary by sex is lacking. In this study, we characterize the effect of age on DNA methylation in a sex-specific manner and determine if these effects vary by genomic context. We used the Illumina HumanMethylation 450 K array and DNA derived from whole blood for 400 adult participants (189 males and 211 females) from Bangladesh to identify age-associated CpG sites and regions and characterize the location of these age-associated sites with respect to CpG islands (vs. shore, shelf, or open sea) and gene regions (vs. intergenic). We conducted a genome-wide search for age-associated CpG sites (among 423,604 sites) using a reference-free approach to adjust for cell type composition (the R package RefFreeEWAS) and performed an independent replication analysis of age-associated CpGs. Results The number of age-associated CpGs (p < 5 x $ 10^{− 8} $) were 986 among men and 3479 among women of which 2027(63.8%) and 572 (64.1%) replicated (using Bonferroni adjusted p < 1.2 × $ 10^{− 5} $). For both sexes, age-associated CpG sites were more likely to be hyper-methylated with increasing age (compared to hypo-methylated) and were enriched in CpG islands and promoter regions compared with other locations and all CpGs on the array. Although we observed strong correlation between chronological age and previously-developed epigenetic age models (r ≈ 0.8), among our top (based on lowest p-value) age-associated CpG sites only 12 for males and 44 for females are included in these prediction models, and the median chronological age compared to predicted age was 44 vs. 51.7 in males and 45 vs. 52.1 in females. Conclusions Our results describe genome-wide features of age-related changes in DNA methylation. The observed associations between age and methylation were generally consistent for both sexes, although the associations tended to be stronger among women. Our population may have unique age-related methylation changes that are not captured in the established methylation-based age prediction model we used, which was developed to be non-tissue-specific. Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Jansen, Rick J. [verfasserIn] Tong, Lin Argos, Maria Jasmine, Farzana Rakibuz-Zaman, Muhammad Sarwar, Golam Islam, Md. Tariqul Shahriar, Hasan Islam, Tariqul Rahman, Mahfuzar Yunus, Md. Kibriya, Muhammad G. Baron, John A. Ahsan, Habibul Pierce, Brandon L.

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2019

Schlagwörter:	Genome-wide Age-associated Methylation Sex-specific Cell type adjustment RefFreeEWAS Age prediction model

Anmerkung:	© The Author(s). 2019

Übergeordnetes Werk:	Enthalten in: BMC genomics - London : BioMed Central, 2000, 20(2019), 1 vom: 10. Sept.
Übergeordnetes Werk:	volume:20 ; year:2019 ; number:1 ; day:10 ; month:09

Links:	Volltext

DOI / URN:	10.1186/s12864-019-6039-9

Katalog-ID:	SPR027156915

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100	1		\|a Jansen, Rick J. \|e verfasserin \|4 aut
245	1	4	\|a The effect of age on DNA methylation in whole blood among Bangladeshi men and women
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520			\|a Background It is well-known that methylation changes occur as humans age, however, understanding how age-related changes in DNA methylation vary by sex is lacking. In this study, we characterize the effect of age on DNA methylation in a sex-specific manner and determine if these effects vary by genomic context. We used the Illumina HumanMethylation 450 K array and DNA derived from whole blood for 400 adult participants (189 males and 211 females) from Bangladesh to identify age-associated CpG sites and regions and characterize the location of these age-associated sites with respect to CpG islands (vs. shore, shelf, or open sea) and gene regions (vs. intergenic). We conducted a genome-wide search for age-associated CpG sites (among 423,604 sites) using a reference-free approach to adjust for cell type composition (the R package RefFreeEWAS) and performed an independent replication analysis of age-associated CpGs. Results The number of age-associated CpGs (p < 5 x $ 10^{− 8} $) were 986 among men and 3479 among women of which 2027(63.8%) and 572 (64.1%) replicated (using Bonferroni adjusted p < 1.2 × $ 10^{− 5} $). For both sexes, age-associated CpG sites were more likely to be hyper-methylated with increasing age (compared to hypo-methylated) and were enriched in CpG islands and promoter regions compared with other locations and all CpGs on the array. Although we observed strong correlation between chronological age and previously-developed epigenetic age models (r ≈ 0.8), among our top (based on lowest p-value) age-associated CpG sites only 12 for males and 44 for females are included in these prediction models, and the median chronological age compared to predicted age was 44 vs. 51.7 in males and 45 vs. 52.1 in females. Conclusions Our results describe genome-wide features of age-related changes in DNA methylation. The observed associations between age and methylation were generally consistent for both sexes, although the associations tended to be stronger among women. Our population may have unique age-related methylation changes that are not captured in the established methylation-based age prediction model we used, which was developed to be non-tissue-specific.
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700	1		\|a Sarwar, Golam \|4 aut
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700	1		\|a Rahman, Mahfuzar \|4 aut
700	1		\|a Yunus, Md. \|4 aut
700	1		\|a Kibriya, Muhammad G. \|4 aut
700	1		\|a Baron, John A. \|4 aut
700	1		\|a Ahsan, Habibul \|4 aut
700	1		\|a Pierce, Brandon L. \|0 (orcid)0000-0002-7829-952X \|4 aut
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allfields	10.1186/s12864-019-6039-9 doi (DE-627)SPR027156915 (SPR)s12864-019-6039-9-e DE-627 ger DE-627 rakwb eng Jansen, Rick J. verfasserin aut The effect of age on DNA methylation in whole blood among Bangladeshi men and women 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s). 2019 Background It is well-known that methylation changes occur as humans age, however, understanding how age-related changes in DNA methylation vary by sex is lacking. In this study, we characterize the effect of age on DNA methylation in a sex-specific manner and determine if these effects vary by genomic context. We used the Illumina HumanMethylation 450 K array and DNA derived from whole blood for 400 adult participants (189 males and 211 females) from Bangladesh to identify age-associated CpG sites and regions and characterize the location of these age-associated sites with respect to CpG islands (vs. shore, shelf, or open sea) and gene regions (vs. intergenic). We conducted a genome-wide search for age-associated CpG sites (among 423,604 sites) using a reference-free approach to adjust for cell type composition (the R package RefFreeEWAS) and performed an independent replication analysis of age-associated CpGs. Results The number of age-associated CpGs (p < 5 x $ 10^{− 8} $) were 986 among men and 3479 among women of which 2027(63.8%) and 572 (64.1%) replicated (using Bonferroni adjusted p < 1.2 × $ 10^{− 5} $). For both sexes, age-associated CpG sites were more likely to be hyper-methylated with increasing age (compared to hypo-methylated) and were enriched in CpG islands and promoter regions compared with other locations and all CpGs on the array. Although we observed strong correlation between chronological age and previously-developed epigenetic age models (r ≈ 0.8), among our top (based on lowest p-value) age-associated CpG sites only 12 for males and 44 for females are included in these prediction models, and the median chronological age compared to predicted age was 44 vs. 51.7 in males and 45 vs. 52.1 in females. Conclusions Our results describe genome-wide features of age-related changes in DNA methylation. The observed associations between age and methylation were generally consistent for both sexes, although the associations tended to be stronger among women. Our population may have unique age-related methylation changes that are not captured in the established methylation-based age prediction model we used, which was developed to be non-tissue-specific. Genome-wide (dpeaa)DE-He213 Age-associated (dpeaa)DE-He213 Methylation (dpeaa)DE-He213 Sex-specific (dpeaa)DE-He213 Cell type adjustment (dpeaa)DE-He213 RefFreeEWAS (dpeaa)DE-He213 Age prediction model (dpeaa)DE-He213 Tong, Lin aut Argos, Maria aut Jasmine, Farzana aut Rakibuz-Zaman, Muhammad aut Sarwar, Golam aut Islam, Md. Tariqul aut Shahriar, Hasan aut Islam, Tariqul aut Rahman, Mahfuzar aut Yunus, Md. aut Kibriya, Muhammad G. aut Baron, John A. aut Ahsan, Habibul aut Pierce, Brandon L. (orcid)0000-0002-7829-952X aut Enthalten in BMC genomics London : BioMed Central, 2000 20(2019), 1 vom: 10. Sept. (DE-627)326644954 (DE-600)2041499-7 1471-2164 nnns volume:20 year:2019 number:1 day:10 month:09 https://dx.doi.org/10.1186/s12864-019-6039-9 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 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_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 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 20 2019 1 10 09
spelling	10.1186/s12864-019-6039-9 doi (DE-627)SPR027156915 (SPR)s12864-019-6039-9-e DE-627 ger DE-627 rakwb eng Jansen, Rick J. verfasserin aut The effect of age on DNA methylation in whole blood among Bangladeshi men and women 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s). 2019 Background It is well-known that methylation changes occur as humans age, however, understanding how age-related changes in DNA methylation vary by sex is lacking. In this study, we characterize the effect of age on DNA methylation in a sex-specific manner and determine if these effects vary by genomic context. We used the Illumina HumanMethylation 450 K array and DNA derived from whole blood for 400 adult participants (189 males and 211 females) from Bangladesh to identify age-associated CpG sites and regions and characterize the location of these age-associated sites with respect to CpG islands (vs. shore, shelf, or open sea) and gene regions (vs. intergenic). We conducted a genome-wide search for age-associated CpG sites (among 423,604 sites) using a reference-free approach to adjust for cell type composition (the R package RefFreeEWAS) and performed an independent replication analysis of age-associated CpGs. Results The number of age-associated CpGs (p < 5 x $ 10^{− 8} $) were 986 among men and 3479 among women of which 2027(63.8%) and 572 (64.1%) replicated (using Bonferroni adjusted p < 1.2 × $ 10^{− 5} $). For both sexes, age-associated CpG sites were more likely to be hyper-methylated with increasing age (compared to hypo-methylated) and were enriched in CpG islands and promoter regions compared with other locations and all CpGs on the array. Although we observed strong correlation between chronological age and previously-developed epigenetic age models (r ≈ 0.8), among our top (based on lowest p-value) age-associated CpG sites only 12 for males and 44 for females are included in these prediction models, and the median chronological age compared to predicted age was 44 vs. 51.7 in males and 45 vs. 52.1 in females. Conclusions Our results describe genome-wide features of age-related changes in DNA methylation. The observed associations between age and methylation were generally consistent for both sexes, although the associations tended to be stronger among women. Our population may have unique age-related methylation changes that are not captured in the established methylation-based age prediction model we used, which was developed to be non-tissue-specific. Genome-wide (dpeaa)DE-He213 Age-associated (dpeaa)DE-He213 Methylation (dpeaa)DE-He213 Sex-specific (dpeaa)DE-He213 Cell type adjustment (dpeaa)DE-He213 RefFreeEWAS (dpeaa)DE-He213 Age prediction model (dpeaa)DE-He213 Tong, Lin aut Argos, Maria aut Jasmine, Farzana aut Rakibuz-Zaman, Muhammad aut Sarwar, Golam aut Islam, Md. Tariqul aut Shahriar, Hasan aut Islam, Tariqul aut Rahman, Mahfuzar aut Yunus, Md. aut Kibriya, Muhammad G. aut Baron, John A. aut Ahsan, Habibul aut Pierce, Brandon L. (orcid)0000-0002-7829-952X aut Enthalten in BMC genomics London : BioMed Central, 2000 20(2019), 1 vom: 10. Sept. (DE-627)326644954 (DE-600)2041499-7 1471-2164 nnns volume:20 year:2019 number:1 day:10 month:09 https://dx.doi.org/10.1186/s12864-019-6039-9 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 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_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 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 20 2019 1 10 09
allfields_unstemmed	10.1186/s12864-019-6039-9 doi (DE-627)SPR027156915 (SPR)s12864-019-6039-9-e DE-627 ger DE-627 rakwb eng Jansen, Rick J. verfasserin aut The effect of age on DNA methylation in whole blood among Bangladeshi men and women 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s). 2019 Background It is well-known that methylation changes occur as humans age, however, understanding how age-related changes in DNA methylation vary by sex is lacking. In this study, we characterize the effect of age on DNA methylation in a sex-specific manner and determine if these effects vary by genomic context. We used the Illumina HumanMethylation 450 K array and DNA derived from whole blood for 400 adult participants (189 males and 211 females) from Bangladesh to identify age-associated CpG sites and regions and characterize the location of these age-associated sites with respect to CpG islands (vs. shore, shelf, or open sea) and gene regions (vs. intergenic). We conducted a genome-wide search for age-associated CpG sites (among 423,604 sites) using a reference-free approach to adjust for cell type composition (the R package RefFreeEWAS) and performed an independent replication analysis of age-associated CpGs. Results The number of age-associated CpGs (p < 5 x $ 10^{− 8} $) were 986 among men and 3479 among women of which 2027(63.8%) and 572 (64.1%) replicated (using Bonferroni adjusted p < 1.2 × $ 10^{− 5} $). For both sexes, age-associated CpG sites were more likely to be hyper-methylated with increasing age (compared to hypo-methylated) and were enriched in CpG islands and promoter regions compared with other locations and all CpGs on the array. Although we observed strong correlation between chronological age and previously-developed epigenetic age models (r ≈ 0.8), among our top (based on lowest p-value) age-associated CpG sites only 12 for males and 44 for females are included in these prediction models, and the median chronological age compared to predicted age was 44 vs. 51.7 in males and 45 vs. 52.1 in females. Conclusions Our results describe genome-wide features of age-related changes in DNA methylation. The observed associations between age and methylation were generally consistent for both sexes, although the associations tended to be stronger among women. Our population may have unique age-related methylation changes that are not captured in the established methylation-based age prediction model we used, which was developed to be non-tissue-specific. Genome-wide (dpeaa)DE-He213 Age-associated (dpeaa)DE-He213 Methylation (dpeaa)DE-He213 Sex-specific (dpeaa)DE-He213 Cell type adjustment (dpeaa)DE-He213 RefFreeEWAS (dpeaa)DE-He213 Age prediction model (dpeaa)DE-He213 Tong, Lin aut Argos, Maria aut Jasmine, Farzana aut Rakibuz-Zaman, Muhammad aut Sarwar, Golam aut Islam, Md. Tariqul aut Shahriar, Hasan aut Islam, Tariqul aut Rahman, Mahfuzar aut Yunus, Md. aut Kibriya, Muhammad G. aut Baron, John A. aut Ahsan, Habibul aut Pierce, Brandon L. (orcid)0000-0002-7829-952X aut Enthalten in BMC genomics London : BioMed Central, 2000 20(2019), 1 vom: 10. Sept. (DE-627)326644954 (DE-600)2041499-7 1471-2164 nnns volume:20 year:2019 number:1 day:10 month:09 https://dx.doi.org/10.1186/s12864-019-6039-9 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 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_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 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 20 2019 1 10 09
allfieldsGer	10.1186/s12864-019-6039-9 doi (DE-627)SPR027156915 (SPR)s12864-019-6039-9-e DE-627 ger DE-627 rakwb eng Jansen, Rick J. verfasserin aut The effect of age on DNA methylation in whole blood among Bangladeshi men and women 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s). 2019 Background It is well-known that methylation changes occur as humans age, however, understanding how age-related changes in DNA methylation vary by sex is lacking. In this study, we characterize the effect of age on DNA methylation in a sex-specific manner and determine if these effects vary by genomic context. We used the Illumina HumanMethylation 450 K array and DNA derived from whole blood for 400 adult participants (189 males and 211 females) from Bangladesh to identify age-associated CpG sites and regions and characterize the location of these age-associated sites with respect to CpG islands (vs. shore, shelf, or open sea) and gene regions (vs. intergenic). We conducted a genome-wide search for age-associated CpG sites (among 423,604 sites) using a reference-free approach to adjust for cell type composition (the R package RefFreeEWAS) and performed an independent replication analysis of age-associated CpGs. Results The number of age-associated CpGs (p < 5 x $ 10^{− 8} $) were 986 among men and 3479 among women of which 2027(63.8%) and 572 (64.1%) replicated (using Bonferroni adjusted p < 1.2 × $ 10^{− 5} $). For both sexes, age-associated CpG sites were more likely to be hyper-methylated with increasing age (compared to hypo-methylated) and were enriched in CpG islands and promoter regions compared with other locations and all CpGs on the array. Although we observed strong correlation between chronological age and previously-developed epigenetic age models (r ≈ 0.8), among our top (based on lowest p-value) age-associated CpG sites only 12 for males and 44 for females are included in these prediction models, and the median chronological age compared to predicted age was 44 vs. 51.7 in males and 45 vs. 52.1 in females. Conclusions Our results describe genome-wide features of age-related changes in DNA methylation. The observed associations between age and methylation were generally consistent for both sexes, although the associations tended to be stronger among women. Our population may have unique age-related methylation changes that are not captured in the established methylation-based age prediction model we used, which was developed to be non-tissue-specific. Genome-wide (dpeaa)DE-He213 Age-associated (dpeaa)DE-He213 Methylation (dpeaa)DE-He213 Sex-specific (dpeaa)DE-He213 Cell type adjustment (dpeaa)DE-He213 RefFreeEWAS (dpeaa)DE-He213 Age prediction model (dpeaa)DE-He213 Tong, Lin aut Argos, Maria aut Jasmine, Farzana aut Rakibuz-Zaman, Muhammad aut Sarwar, Golam aut Islam, Md. Tariqul aut Shahriar, Hasan aut Islam, Tariqul aut Rahman, Mahfuzar aut Yunus, Md. aut Kibriya, Muhammad G. aut Baron, John A. aut Ahsan, Habibul aut Pierce, Brandon L. (orcid)0000-0002-7829-952X aut Enthalten in BMC genomics London : BioMed Central, 2000 20(2019), 1 vom: 10. Sept. (DE-627)326644954 (DE-600)2041499-7 1471-2164 nnns volume:20 year:2019 number:1 day:10 month:09 https://dx.doi.org/10.1186/s12864-019-6039-9 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 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_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 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 20 2019 1 10 09
allfieldsSound	10.1186/s12864-019-6039-9 doi (DE-627)SPR027156915 (SPR)s12864-019-6039-9-e DE-627 ger DE-627 rakwb eng Jansen, Rick J. verfasserin aut The effect of age on DNA methylation in whole blood among Bangladeshi men and women 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s). 2019 Background It is well-known that methylation changes occur as humans age, however, understanding how age-related changes in DNA methylation vary by sex is lacking. In this study, we characterize the effect of age on DNA methylation in a sex-specific manner and determine if these effects vary by genomic context. We used the Illumina HumanMethylation 450 K array and DNA derived from whole blood for 400 adult participants (189 males and 211 females) from Bangladesh to identify age-associated CpG sites and regions and characterize the location of these age-associated sites with respect to CpG islands (vs. shore, shelf, or open sea) and gene regions (vs. intergenic). We conducted a genome-wide search for age-associated CpG sites (among 423,604 sites) using a reference-free approach to adjust for cell type composition (the R package RefFreeEWAS) and performed an independent replication analysis of age-associated CpGs. Results The number of age-associated CpGs (p < 5 x $ 10^{− 8} $) were 986 among men and 3479 among women of which 2027(63.8%) and 572 (64.1%) replicated (using Bonferroni adjusted p < 1.2 × $ 10^{− 5} $). For both sexes, age-associated CpG sites were more likely to be hyper-methylated with increasing age (compared to hypo-methylated) and were enriched in CpG islands and promoter regions compared with other locations and all CpGs on the array. Although we observed strong correlation between chronological age and previously-developed epigenetic age models (r ≈ 0.8), among our top (based on lowest p-value) age-associated CpG sites only 12 for males and 44 for females are included in these prediction models, and the median chronological age compared to predicted age was 44 vs. 51.7 in males and 45 vs. 52.1 in females. Conclusions Our results describe genome-wide features of age-related changes in DNA methylation. The observed associations between age and methylation were generally consistent for both sexes, although the associations tended to be stronger among women. Our population may have unique age-related methylation changes that are not captured in the established methylation-based age prediction model we used, which was developed to be non-tissue-specific. Genome-wide (dpeaa)DE-He213 Age-associated (dpeaa)DE-He213 Methylation (dpeaa)DE-He213 Sex-specific (dpeaa)DE-He213 Cell type adjustment (dpeaa)DE-He213 RefFreeEWAS (dpeaa)DE-He213 Age prediction model (dpeaa)DE-He213 Tong, Lin aut Argos, Maria aut Jasmine, Farzana aut Rakibuz-Zaman, Muhammad aut Sarwar, Golam aut Islam, Md. Tariqul aut Shahriar, Hasan aut Islam, Tariqul aut Rahman, Mahfuzar aut Yunus, Md. aut Kibriya, Muhammad G. aut Baron, John A. aut Ahsan, Habibul aut Pierce, Brandon L. (orcid)0000-0002-7829-952X aut Enthalten in BMC genomics London : BioMed Central, 2000 20(2019), 1 vom: 10. Sept. (DE-627)326644954 (DE-600)2041499-7 1471-2164 nnns volume:20 year:2019 number:1 day:10 month:09 https://dx.doi.org/10.1186/s12864-019-6039-9 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 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_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 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 20 2019 1 10 09
language	English
source	Enthalten in BMC genomics 20(2019), 1 vom: 10. Sept. volume:20 year:2019 number:1 day:10 month:09
sourceStr	Enthalten in BMC genomics 20(2019), 1 vom: 10. Sept. volume:20 year:2019 number:1 day:10 month:09
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Genome-wide Age-associated Methylation Sex-specific Cell type adjustment RefFreeEWAS Age prediction model
isfreeaccess_bool	true
container_title	BMC genomics
authorswithroles_txt_mv	Jansen, Rick J. @@aut@@ Tong, Lin @@aut@@ Argos, Maria @@aut@@ Jasmine, Farzana @@aut@@ Rakibuz-Zaman, Muhammad @@aut@@ Sarwar, Golam @@aut@@ Islam, Md. Tariqul @@aut@@ Shahriar, Hasan @@aut@@ Islam, Tariqul @@aut@@ Rahman, Mahfuzar @@aut@@ Yunus, Md. @@aut@@ Kibriya, Muhammad G. @@aut@@ Baron, John A. @@aut@@ Ahsan, Habibul @@aut@@ Pierce, Brandon L. @@aut@@
publishDateDaySort_date	2019-09-10T00:00:00Z
hierarchy_top_id	326644954
id	SPR027156915
language_de	englisch
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In this study, we characterize the effect of age on DNA methylation in a sex-specific manner and determine if these effects vary by genomic context. We used the Illumina HumanMethylation 450 K array and DNA derived from whole blood for 400 adult participants (189 males and 211 females) from Bangladesh to identify age-associated CpG sites and regions and characterize the location of these age-associated sites with respect to CpG islands (vs. shore, shelf, or open sea) and gene regions (vs. intergenic). We conducted a genome-wide search for age-associated CpG sites (among 423,604 sites) using a reference-free approach to adjust for cell type composition (the R package RefFreeEWAS) and performed an independent replication analysis of age-associated CpGs. Results The number of age-associated CpGs (p < 5 x $ 10^{− 8} $) were 986 among men and 3479 among women of which 2027(63.8%) and 572 (64.1%) replicated (using Bonferroni adjusted p < 1.2 × $ 10^{− 5} $). For both sexes, age-associated CpG sites were more likely to be hyper-methylated with increasing age (compared to hypo-methylated) and were enriched in CpG islands and promoter regions compared with other locations and all CpGs on the array. Although we observed strong correlation between chronological age and previously-developed epigenetic age models (r ≈ 0.8), among our top (based on lowest p-value) age-associated CpG sites only 12 for males and 44 for females are included in these prediction models, and the median chronological age compared to predicted age was 44 vs. 51.7 in males and 45 vs. 52.1 in females. Conclusions Our results describe genome-wide features of age-related changes in DNA methylation. The observed associations between age and methylation were generally consistent for both sexes, although the associations tended to be stronger among women. 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author	Jansen, Rick J.
spellingShingle	Jansen, Rick J. misc Genome-wide misc Age-associated misc Methylation misc Sex-specific misc Cell type adjustment misc RefFreeEWAS misc Age prediction model The effect of age on DNA methylation in whole blood among Bangladeshi men and women
authorStr	Jansen, Rick J.
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topic_title	The effect of age on DNA methylation in whole blood among Bangladeshi men and women Genome-wide (dpeaa)DE-He213 Age-associated (dpeaa)DE-He213 Methylation (dpeaa)DE-He213 Sex-specific (dpeaa)DE-He213 Cell type adjustment (dpeaa)DE-He213 RefFreeEWAS (dpeaa)DE-He213 Age prediction model (dpeaa)DE-He213
topic	misc Genome-wide misc Age-associated misc Methylation misc Sex-specific misc Cell type adjustment misc RefFreeEWAS misc Age prediction model
topic_unstemmed	misc Genome-wide misc Age-associated misc Methylation misc Sex-specific misc Cell type adjustment misc RefFreeEWAS misc Age prediction model
topic_browse	misc Genome-wide misc Age-associated misc Methylation misc Sex-specific misc Cell type adjustment misc RefFreeEWAS misc Age prediction model
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title	The effect of age on DNA methylation in whole blood among Bangladeshi men and women
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title_full	The effect of age on DNA methylation in whole blood among Bangladeshi men and women
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author_browse	Jansen, Rick J. Tong, Lin Argos, Maria Jasmine, Farzana Rakibuz-Zaman, Muhammad Sarwar, Golam Islam, Md. Tariqul Shahriar, Hasan Islam, Tariqul Rahman, Mahfuzar Yunus, Md. Kibriya, Muhammad G. Baron, John A. Ahsan, Habibul Pierce, Brandon L.
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title_sort	effect of age on dna methylation in whole blood among bangladeshi men and women
title_auth	The effect of age on DNA methylation in whole blood among Bangladeshi men and women
abstract	Background It is well-known that methylation changes occur as humans age, however, understanding how age-related changes in DNA methylation vary by sex is lacking. In this study, we characterize the effect of age on DNA methylation in a sex-specific manner and determine if these effects vary by genomic context. We used the Illumina HumanMethylation 450 K array and DNA derived from whole blood for 400 adult participants (189 males and 211 females) from Bangladesh to identify age-associated CpG sites and regions and characterize the location of these age-associated sites with respect to CpG islands (vs. shore, shelf, or open sea) and gene regions (vs. intergenic). We conducted a genome-wide search for age-associated CpG sites (among 423,604 sites) using a reference-free approach to adjust for cell type composition (the R package RefFreeEWAS) and performed an independent replication analysis of age-associated CpGs. Results The number of age-associated CpGs (p < 5 x $ 10^{− 8} $) were 986 among men and 3479 among women of which 2027(63.8%) and 572 (64.1%) replicated (using Bonferroni adjusted p < 1.2 × $ 10^{− 5} $). For both sexes, age-associated CpG sites were more likely to be hyper-methylated with increasing age (compared to hypo-methylated) and were enriched in CpG islands and promoter regions compared with other locations and all CpGs on the array. Although we observed strong correlation between chronological age and previously-developed epigenetic age models (r ≈ 0.8), among our top (based on lowest p-value) age-associated CpG sites only 12 for males and 44 for females are included in these prediction models, and the median chronological age compared to predicted age was 44 vs. 51.7 in males and 45 vs. 52.1 in females. Conclusions Our results describe genome-wide features of age-related changes in DNA methylation. The observed associations between age and methylation were generally consistent for both sexes, although the associations tended to be stronger among women. Our population may have unique age-related methylation changes that are not captured in the established methylation-based age prediction model we used, which was developed to be non-tissue-specific. © The Author(s). 2019
abstractGer	Background It is well-known that methylation changes occur as humans age, however, understanding how age-related changes in DNA methylation vary by sex is lacking. In this study, we characterize the effect of age on DNA methylation in a sex-specific manner and determine if these effects vary by genomic context. We used the Illumina HumanMethylation 450 K array and DNA derived from whole blood for 400 adult participants (189 males and 211 females) from Bangladesh to identify age-associated CpG sites and regions and characterize the location of these age-associated sites with respect to CpG islands (vs. shore, shelf, or open sea) and gene regions (vs. intergenic). We conducted a genome-wide search for age-associated CpG sites (among 423,604 sites) using a reference-free approach to adjust for cell type composition (the R package RefFreeEWAS) and performed an independent replication analysis of age-associated CpGs. Results The number of age-associated CpGs (p < 5 x $ 10^{− 8} $) were 986 among men and 3479 among women of which 2027(63.8%) and 572 (64.1%) replicated (using Bonferroni adjusted p < 1.2 × $ 10^{− 5} $). For both sexes, age-associated CpG sites were more likely to be hyper-methylated with increasing age (compared to hypo-methylated) and were enriched in CpG islands and promoter regions compared with other locations and all CpGs on the array. Although we observed strong correlation between chronological age and previously-developed epigenetic age models (r ≈ 0.8), among our top (based on lowest p-value) age-associated CpG sites only 12 for males and 44 for females are included in these prediction models, and the median chronological age compared to predicted age was 44 vs. 51.7 in males and 45 vs. 52.1 in females. Conclusions Our results describe genome-wide features of age-related changes in DNA methylation. The observed associations between age and methylation were generally consistent for both sexes, although the associations tended to be stronger among women. Our population may have unique age-related methylation changes that are not captured in the established methylation-based age prediction model we used, which was developed to be non-tissue-specific. © The Author(s). 2019
abstract_unstemmed	Background It is well-known that methylation changes occur as humans age, however, understanding how age-related changes in DNA methylation vary by sex is lacking. In this study, we characterize the effect of age on DNA methylation in a sex-specific manner and determine if these effects vary by genomic context. We used the Illumina HumanMethylation 450 K array and DNA derived from whole blood for 400 adult participants (189 males and 211 females) from Bangladesh to identify age-associated CpG sites and regions and characterize the location of these age-associated sites with respect to CpG islands (vs. shore, shelf, or open sea) and gene regions (vs. intergenic). We conducted a genome-wide search for age-associated CpG sites (among 423,604 sites) using a reference-free approach to adjust for cell type composition (the R package RefFreeEWAS) and performed an independent replication analysis of age-associated CpGs. Results The number of age-associated CpGs (p < 5 x $ 10^{− 8} $) were 986 among men and 3479 among women of which 2027(63.8%) and 572 (64.1%) replicated (using Bonferroni adjusted p < 1.2 × $ 10^{− 5} $). For both sexes, age-associated CpG sites were more likely to be hyper-methylated with increasing age (compared to hypo-methylated) and were enriched in CpG islands and promoter regions compared with other locations and all CpGs on the array. Although we observed strong correlation between chronological age and previously-developed epigenetic age models (r ≈ 0.8), among our top (based on lowest p-value) age-associated CpG sites only 12 for males and 44 for females are included in these prediction models, and the median chronological age compared to predicted age was 44 vs. 51.7 in males and 45 vs. 52.1 in females. Conclusions Our results describe genome-wide features of age-related changes in DNA methylation. The observed associations between age and methylation were generally consistent for both sexes, although the associations tended to be stronger among women. Our population may have unique age-related methylation changes that are not captured in the established methylation-based age prediction model we used, which was developed to be non-tissue-specific. © The Author(s). 2019
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title_short	The effect of age on DNA methylation in whole blood among Bangladeshi men and women
url	https://dx.doi.org/10.1186/s12864-019-6039-9
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author2	Tong, Lin Argos, Maria Jasmine, Farzana Rakibuz-Zaman, Muhammad Sarwar, Golam Islam, Md. Tariqul Shahriar, Hasan Islam, Tariqul Rahman, Mahfuzar Yunus, Md Kibriya, Muhammad G. Baron, John A. Ahsan, Habibul Pierce, Brandon L.
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up_date	2024-07-04T00:38:49.765Z
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fullrecord_marcxml	<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">SPR027156915</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230519221651.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">201007s2019 xx \|\|\|\|\|o 00\| \|\|eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1186/s12864-019-6039-9</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)SPR027156915</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(SPR)s12864-019-6039-9-e</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Jansen, Rick J.</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="4"><subfield code="a">The effect of age on DNA methylation in whole blood among Bangladeshi men and women</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2019</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">© The Author(s). 2019</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Background It is well-known that methylation changes occur as humans age, however, understanding how age-related changes in DNA methylation vary by sex is lacking. In this study, we characterize the effect of age on DNA methylation in a sex-specific manner and determine if these effects vary by genomic context. We used the Illumina HumanMethylation 450 K array and DNA derived from whole blood for 400 adult participants (189 males and 211 females) from Bangladesh to identify age-associated CpG sites and regions and characterize the location of these age-associated sites with respect to CpG islands (vs. shore, shelf, or open sea) and gene regions (vs. intergenic). We conducted a genome-wide search for age-associated CpG sites (among 423,604 sites) using a reference-free approach to adjust for cell type composition (the R package RefFreeEWAS) and performed an independent replication analysis of age-associated CpGs. Results The number of age-associated CpGs (p < 5 x $ 10^{− 8} $) were 986 among men and 3479 among women of which 2027(63.8%) and 572 (64.1%) replicated (using Bonferroni adjusted p < 1.2 × $ 10^{− 5} $). For both sexes, age-associated CpG sites were more likely to be hyper-methylated with increasing age (compared to hypo-methylated) and were enriched in CpG islands and promoter regions compared with other locations and all CpGs on the array. Although we observed strong correlation between chronological age and previously-developed epigenetic age models (r ≈ 0.8), among our top (based on lowest p-value) age-associated CpG sites only 12 for males and 44 for females are included in these prediction models, and the median chronological age compared to predicted age was 44 vs. 51.7 in males and 45 vs. 52.1 in females. Conclusions Our results describe genome-wide features of age-related changes in DNA methylation. The observed associations between age and methylation were generally consistent for both sexes, although the associations tended to be stronger among women. 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The effect of age on DNA methylation in whole blood among Bangladeshi men and women

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