Genetic interplay between human longevity and metabolic pathways — a large‐scale eQTL study
Summary Human longevity is a complex phenotype influenced by genetic and environmental components. Unraveling the contribution of genetic vs. nongenetic factors to longevity is a challenging task. Here, we conducted a large‐scale RNA‐sequencing‐based expression quantitative trait loci study (eQTL) w...
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Published in | Aging cell Vol. 16; no. 4; pp. 716 - 725 |
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Main Authors | , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
England
John Wiley & Sons, Inc
01.08.2017
John Wiley and Sons Inc |
Subjects | |
Online Access | Get full text |
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Abstract | Summary
Human longevity is a complex phenotype influenced by genetic and environmental components. Unraveling the contribution of genetic vs. nongenetic factors to longevity is a challenging task. Here, we conducted a large‐scale RNA‐sequencing‐based expression quantitative trait loci study (eQTL) with subsequent heritability analysis. The investigation was performed on blood samples from 244 individuals from Germany and Denmark, representing various age groups including long‐lived subjects up to the age of 104 years. Our eQTL‐based approach revealed for the first time that human longevity is associated with a depletion of metabolic pathways in a genotype‐dependent and independent manner. Further analyses indicated that 20% of the differentially expressed genes are influenced by genetic variants in cis. The subsequent study of twins showed that the transcriptional activity of a third of the differentially regulated genes is heritable. These findings suggest that longevity‐associated biological processes such as altered metabolism are, to a certain extent, also the driving force of longevity rather than just a consequence of old age. |
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AbstractList | Human longevity is a complex phenotype influenced by genetic and environmental components. Unraveling the contribution of genetic vs. nongenetic factors to longevity is a challenging task. Here, we conducted a large-scale RNA-sequencing-based expression quantitative trait loci study (eQTL) with subsequent heritability analysis. The investigation was performed on blood samples from 244 individuals from Germany and Denmark, representing various age groups including long-lived subjects up to the age of 104 years. Our eQTL-based approach revealed for the first time that human longevity is associated with a depletion of metabolic pathways in a genotype-dependent and independent manner. Further analyses indicated that 20% of the differentially expressed genes are influenced by genetic variants in cis. The subsequent study of twins showed that the transcriptional activity of a third of the differentially regulated genes is heritable. These findings suggest that longevity-associated biological processes such as altered metabolism are, to a certain extent, also the driving force of longevity rather than just a consequence of old age. Summary Human longevity is a complex phenotype influenced by genetic and environmental components. Unraveling the contribution of genetic vs. nongenetic factors to longevity is a challenging task. Here, we conducted a large‐scale RNA‐sequencing‐based expression quantitative trait loci study (eQTL) with subsequent heritability analysis. The investigation was performed on blood samples from 244 individuals from Germany and Denmark, representing various age groups including long‐lived subjects up to the age of 104 years. Our eQTL‐based approach revealed for the first time that human longevity is associated with a depletion of metabolic pathways in a genotype‐dependent and independent manner. Further analyses indicated that 20% of the differentially expressed genes are influenced by genetic variants in cis. The subsequent study of twins showed that the transcriptional activity of a third of the differentially regulated genes is heritable. These findings suggest that longevity‐associated biological processes such as altered metabolism are, to a certain extent, also the driving force of longevity rather than just a consequence of old age. Human longevity is a complex phenotype influenced by genetic and environmental components. Unraveling the contribution of genetic vs. nongenetic factors to longevity is a challenging task. Here, we conducted a large‐scale RNA ‐sequencing‐based expression quantitative trait loci study ( eQTL ) with subsequent heritability analysis. The investigation was performed on blood samples from 244 individuals from Germany and Denmark, representing various age groups including long‐lived subjects up to the age of 104 years. Our eQTL ‐based approach revealed for the first time that human longevity is associated with a depletion of metabolic pathways in a genotype‐dependent and independent manner. Further analyses indicated that 20% of the differentially expressed genes are influenced by genetic variants in cis . The subsequent study of twins showed that the transcriptional activity of a third of the differentially regulated genes is heritable. These findings suggest that longevity‐associated biological processes such as altered metabolism are, to a certain extent, also the driving force of longevity rather than just a consequence of old age. Human longevity is a complex phenotype influenced by genetic and environmental components. Unraveling the contribution of genetic vs. nongenetic factors to longevity is a challenging task. Here, we conducted a large-scale RNA-sequencing-based expression quantitative trait loci study (eQTL) with subsequent heritability analysis. The investigation was performed on blood samples from 244 individuals from Germany and Denmark, representing various age groups including long-lived subjects up to the age of 104 years. Our eQTL-based approach revealed for the first time that human longevity is associated with a depletion of metabolic pathways in a genotype-dependent and independent manner. Further analyses indicated that 20% of the differentially expressed genes are influenced by genetic variants in cis. The subsequent study of twins showed that the transcriptional activity of a third of the differentially regulated genes is heritable. These findings suggest that longevity-associated biological processes such as altered metabolism are, to a certain extent, also the driving force of longevity rather than just a consequence of old age.Human longevity is a complex phenotype influenced by genetic and environmental components. Unraveling the contribution of genetic vs. nongenetic factors to longevity is a challenging task. Here, we conducted a large-scale RNA-sequencing-based expression quantitative trait loci study (eQTL) with subsequent heritability analysis. The investigation was performed on blood samples from 244 individuals from Germany and Denmark, representing various age groups including long-lived subjects up to the age of 104 years. Our eQTL-based approach revealed for the first time that human longevity is associated with a depletion of metabolic pathways in a genotype-dependent and independent manner. Further analyses indicated that 20% of the differentially expressed genes are influenced by genetic variants in cis. The subsequent study of twins showed that the transcriptional activity of a third of the differentially regulated genes is heritable. These findings suggest that longevity-associated biological processes such as altered metabolism are, to a certain extent, also the driving force of longevity rather than just a consequence of old age. Summary Human longevity is a complex phenotype influenced by genetic and environmental components. Unraveling the contribution of genetic vs. nongenetic factors to longevity is a challenging task. Here, we conducted a large-scale RNA-sequencing-based expression quantitative trait loci study (eQTL) with subsequent heritability analysis. The investigation was performed on blood samples from 244 individuals from Germany and Denmark, representing various age groups including long-lived subjects up to the age of 104 years. Our eQTL-based approach revealed for the first time that human longevity is associated with a depletion of metabolic pathways in a genotype-dependent and independent manner. Further analyses indicated that 20% of the differentially expressed genes are influenced by genetic variants in cis. The subsequent study of twins showed that the transcriptional activity of a third of the differentially regulated genes is heritable. These findings suggest that longevity-associated biological processes such as altered metabolism are, to a certain extent, also the driving force of longevity rather than just a consequence of old age. Human longevity is a complex phenotype influenced by genetic and environmental components. Unraveling the contribution of genetic vs. nongenetic factors to longevity is a challenging task. Here, we conducted a large-scale RNA-sequencing-based expression quantitative trait loci study (eQTL) with subsequent heritability analysis. The investigation was performed on blood samples from 244 individuals from Germany and Denmark, representing various age groups including long-lived subjects up to the age of 104 years. Our eQTL-based approach revealed for the first time that human longevity is associated with a depletion of metabolic pathways in a genotype-dependent and independent manner. Further analyses indicated that 20% of the differentially expressed genes are influenced by genetic variants in cis. The subsequent study of twins showed that the transcriptional activity of a third of the differentially regulated genes is heritable. These findings suggest that longevity-associated biological processes such as altered metabolism are, to a certain extent, also the driving force of longevity rather than just a consequence of old age. |
Audience | Academic |
Author | Venkatesh, Geetha Nebel, Almut Sinha, Anupam Christiansen, Lene Schreiber, Stefan Rosenstiel, Philip Flachsbart, Friederike Häsler, Robert Tan, Qihua Lieb, Wolfgang Christensen, Kaare |
AuthorAffiliation | 2 The Danish Twin Registry Unit of Epidemiology, Biostatistics and Biodemography University of Southern Denmark 5000 Odense Denmark 4 Institute of Epidemiology Kiel University 24105 Kiel Germany 1 Institute of Clinical Molecular Biology Kiel University 24105 Kiel Germany 3 Department of Clinical Genetics Odense University Hospital 5000 Odense Denmark 5 Department of Clinical Biochemistry and Pharmacology Odense University Hospital 5000 Odense Denmark |
AuthorAffiliation_xml | – name: 1 Institute of Clinical Molecular Biology Kiel University 24105 Kiel Germany – name: 5 Department of Clinical Biochemistry and Pharmacology Odense University Hospital 5000 Odense Denmark – name: 3 Department of Clinical Genetics Odense University Hospital 5000 Odense Denmark – name: 4 Institute of Epidemiology Kiel University 24105 Kiel Germany – name: 2 The Danish Twin Registry Unit of Epidemiology, Biostatistics and Biodemography University of Southern Denmark 5000 Odense Denmark |
Author_xml | – sequence: 1 givenname: Robert surname: Häsler fullname: Häsler, Robert organization: Kiel University – sequence: 2 givenname: Geetha surname: Venkatesh fullname: Venkatesh, Geetha organization: Kiel University – sequence: 3 givenname: Qihua surname: Tan fullname: Tan, Qihua organization: Odense University Hospital – sequence: 4 givenname: Friederike surname: Flachsbart fullname: Flachsbart, Friederike organization: Kiel University – sequence: 5 givenname: Anupam surname: Sinha fullname: Sinha, Anupam organization: Kiel University – sequence: 6 givenname: Philip surname: Rosenstiel fullname: Rosenstiel, Philip organization: Kiel University – sequence: 7 givenname: Wolfgang surname: Lieb fullname: Lieb, Wolfgang organization: Kiel University – sequence: 8 givenname: Stefan surname: Schreiber fullname: Schreiber, Stefan organization: Kiel University – sequence: 9 givenname: Kaare surname: Christensen fullname: Christensen, Kaare organization: Odense University Hospital – sequence: 10 givenname: Lene surname: Christiansen fullname: Christiansen, Lene organization: University of Southern Denmark – sequence: 11 givenname: Almut surname: Nebel fullname: Nebel, Almut email: a.nebel@mucosa.de organization: Kiel University |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/28421666$$D View this record in MEDLINE/PubMed |
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CitedBy_id | crossref_primary_10_1016_j_bbadis_2018_08_039 crossref_primary_10_1093_hmg_ddaa033 crossref_primary_10_1093_gerona_glab023 crossref_primary_10_3390_bs13010004 crossref_primary_10_3390_ijms19103229 crossref_primary_10_1111_acel_13197 crossref_primary_10_1017_thg_2019_72 crossref_primary_10_17759_cpp_2022300102 crossref_primary_10_1093_gerona_glx247 crossref_primary_10_1016_j_jaci_2018_05_033 crossref_primary_10_18547_gcb_2018_vol4_iss2_e100040 crossref_primary_10_1016_j_isci_2018_08_023 |
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Copyright | 2017 The Authors. published by the Anatomical Society and John Wiley & Sons Ltd. 2017 The Authors. Aging Cell published by the Anatomical Society and John Wiley & Sons Ltd. COPYRIGHT 2017 John Wiley & Sons, Inc. Copyright © 2017 The Anatomical Society and John Wiley & Sons Ltd. |
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Keywords | longevity functional genomics RNA- sequencing human transcriptome |
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Human longevity is a complex phenotype influenced by genetic and environmental components. Unraveling the contribution of genetic vs. nongenetic... Human longevity is a complex phenotype influenced by genetic and environmental components. Unraveling the contribution of genetic vs. nongenetic factors to... Summary Human longevity is a complex phenotype influenced by genetic and environmental components. Unraveling the contribution of genetic vs. nongenetic... |
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SubjectTerms | Adult Aged Aged, 80 and over Analysis Denmark functional genomics Genes Genetic aspects Genetic research Genetic transcription Genome, Human Genotype Germany Heritability High-Throughput Nucleotide Sequencing human Humans Longevity Longevity - genetics Longitudinal Studies Metabolic Networks and Pathways - genetics Metabolic pathways Metabolism Middle Aged Original Physiological aspects Polymorphism, Single Nucleotide Quantitative genetics Quantitative Trait Loci Quantitative Trait, Heritable Ribonucleic acid RNA RNA sequencing Transcription Transcriptome Twins Twins, Dizygotic Twins, Monozygotic |
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Title | Genetic interplay between human longevity and metabolic pathways — a large‐scale eQTL study |
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