Lifestyle Factors and Genetic Variants on 2 Biological Age Measures : Evidence From 94 443 Taiwan Biobank Participants
© The Author(s) 2021. Published by Oxford University Press on behalf of The Gerontological Society of America. All rights reserved. For permissions, please e-mail: journals.permissionsoup.com..
BACKGROUND: Biological age (BA) can be estimated by phenotypes and is useful for predicting life span and health span. Levine et al. proposed a PhenoAge and a BioAge to measure BA. Although there have been studies investigating the genetic predisposition to BA acceleration in Europeans, little has been known regarding this topic in Asians.
METHODS: I have estimated PhenoAgeAccel (age-adjusted PhenoAge) and BioAgeAccel (age-adjusted BioAge) of 94 443 Taiwan Biobank (TWB) participants, wherein 25 460 TWB1 participants formed a discovery cohort and 68 983 TWB2 individuals constructed a replication cohort. Lifestyle factors and genetic variants associated with PhenoAgeAccel and BioAgeAccel were investigated through regression analysis and a genome-wide association study.
RESULTS: A unit (kg/m2) increase of body mass index was associated with a 0.177-year PhenoAgeAccel (95% confidence interval [CI] = 0.163-0.191, p = 6.0 × 10-129) and 0.171-year BioAgeAccel (95% CI = 0.165-0.177, p = 0). Smokers on average had a 1.134-year PhenoAgeAccel (95% CI = 0.966-1.303, p = 1.3 × 10-39) compared with nonsmokers. Drinkers on average had a 0.640-year PhenoAgeAccel (95% CI = 0.433-0.847, p = 1.3 × 10-9) and 0.193-year BioAgeAccel (95% CI = 0.107-0.279, p = 1.1 × 10-5) relative to nondrinkers. A total of 11 and 4 single-nucleotide polymorphisms (SNPs) were associated with PhenoAgeAccel and BioAgeAccel (p < 5 × 10-8 in both TWB1 and TWB2), respectively.
CONCLUSIONS: A PhenoAgeAccel-associated SNP (rs1260326 in GCKR) and 2 BioAgeAccel-associated SNPs (rs7412 in APOE; rs16998073 near FGF5) were consistent with the finding from the UK Biobank. The lifestyle analysis shows that prevention from obesity, cigarette smoking, and alcohol consumption is associated with a slower rate of biological aging.
| Medienart: |
E-Artikel |
|---|
| Erscheinungsjahr: |
2022 |
|---|---|
| Erschienen: |
2022 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:77 |
|---|---|
| Enthalten in: |
The journals of gerontology. Series A, Biological sciences and medical sciences - 77(2022), 6 vom: 01. Juni, Seite 1189-1198 |
| Sprache: |
Englisch |
|---|
| Beteiligte Personen: |
Lin, Wan-Yu [VerfasserIn] |
|---|
| Links: |
|---|
| Themen: |
Biomarkers |
|---|
| Anmerkungen: |
Date Completed 03.06.2022 Date Revised 10.06.2022 published: Print Citation Status MEDLINE |
|---|
| doi: |
10.1093/gerona/glab251 |
|---|
| funding: |
|
|---|---|
| Förderinstitution / Projekttitel: |
|
| PPN (Katalog-ID): |
NLM32970897X |
|---|
| LEADER | 01000naa a22002652 4500 | ||
|---|---|---|---|
| 001 | NLM32970897X | ||
| 003 | DE-627 | ||
| 005 | 20231225205712.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 231225s2022 xx |||||o 00| ||eng c | ||
| 024 | 7 | |a 10.1093/gerona/glab251 |2 doi | |
| 028 | 5 | 2 | |a pubmed24n1098.xml |
| 035 | |a (DE-627)NLM32970897X | ||
| 035 | |a (NLM)34427645 | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
| 041 | |a eng | ||
| 100 | 1 | |a Lin, Wan-Yu |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a Lifestyle Factors and Genetic Variants on 2 Biological Age Measures |b Evidence From 94 443 Taiwan Biobank Participants |
| 264 | 1 | |c 2022 | |
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a ƒaComputermedien |b c |2 rdamedia | ||
| 338 | |a ƒa Online-Ressource |b cr |2 rdacarrier | ||
| 500 | |a Date Completed 03.06.2022 | ||
| 500 | |a Date Revised 10.06.2022 | ||
| 500 | |a published: Print | ||
| 500 | |a Citation Status MEDLINE | ||
| 520 | |a © The Author(s) 2021. Published by Oxford University Press on behalf of The Gerontological Society of America. All rights reserved. For permissions, please e-mail: journals.permissionsoup.com. | ||
| 520 | |a BACKGROUND: Biological age (BA) can be estimated by phenotypes and is useful for predicting life span and health span. Levine et al. proposed a PhenoAge and a BioAge to measure BA. Although there have been studies investigating the genetic predisposition to BA acceleration in Europeans, little has been known regarding this topic in Asians | ||
| 520 | |a METHODS: I have estimated PhenoAgeAccel (age-adjusted PhenoAge) and BioAgeAccel (age-adjusted BioAge) of 94 443 Taiwan Biobank (TWB) participants, wherein 25 460 TWB1 participants formed a discovery cohort and 68 983 TWB2 individuals constructed a replication cohort. Lifestyle factors and genetic variants associated with PhenoAgeAccel and BioAgeAccel were investigated through regression analysis and a genome-wide association study | ||
| 520 | |a RESULTS: A unit (kg/m2) increase of body mass index was associated with a 0.177-year PhenoAgeAccel (95% confidence interval [CI] = 0.163-0.191, p = 6.0 × 10-129) and 0.171-year BioAgeAccel (95% CI = 0.165-0.177, p = 0). Smokers on average had a 1.134-year PhenoAgeAccel (95% CI = 0.966-1.303, p = 1.3 × 10-39) compared with nonsmokers. Drinkers on average had a 0.640-year PhenoAgeAccel (95% CI = 0.433-0.847, p = 1.3 × 10-9) and 0.193-year BioAgeAccel (95% CI = 0.107-0.279, p = 1.1 × 10-5) relative to nondrinkers. A total of 11 and 4 single-nucleotide polymorphisms (SNPs) were associated with PhenoAgeAccel and BioAgeAccel (p < 5 × 10-8 in both TWB1 and TWB2), respectively | ||
| 520 | |a CONCLUSIONS: A PhenoAgeAccel-associated SNP (rs1260326 in GCKR) and 2 BioAgeAccel-associated SNPs (rs7412 in APOE; rs16998073 near FGF5) were consistent with the finding from the UK Biobank. The lifestyle analysis shows that prevention from obesity, cigarette smoking, and alcohol consumption is associated with a slower rate of biological aging | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a Research Support, Non-U.S. Gov't | |
| 650 | 4 | |a Biomarkers | |
| 650 | 4 | |a Genetics | |
| 650 | 4 | |a Longevity | |
| 773 | 0 | 8 | |i Enthalten in |t The journals of gerontology. Series A, Biological sciences and medical sciences |d 1997 |g 77(2022), 6 vom: 01. Juni, Seite 1189-1198 |w (DE-627)NLM074698443 |x 1758-535X |7 nnns |
| 773 | 1 | 8 | |g volume:77 |g year:2022 |g number:6 |g day:01 |g month:06 |g pages:1189-1198 |
| 856 | 4 | 0 | |u http://dx.doi.org/10.1093/gerona/glab251 |3 Volltext |
| 912 | |a GBV_USEFLAG_A | ||
| 912 | |a GBV_NLM | ||
| 951 | |a AR | ||
| 952 | |d 77 |j 2022 |e 6 |b 01 |c 06 |h 1189-1198 | ||