Novel Genetic Loci Associated with PhenoAge Acceleration - Changzhou City, Jiangsu Province, China, 2012-2019
China is rapidly encountering population aging, yet studies on aging are limited by the traditional aging measure: chronological age, particularly in the field of genomics. Several promising aging measures have been proposed, but they lack comparative evaluation. PhenoAge was identified as a measure...
Gespeichert in:
Veröffentlicht in: | China CDC Weekly 2024-12, Vol.6 (49), p.1294-1298 |
---|---|
Hauptverfasser: | , , , , , , , , , , , , , , , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 1298 |
---|---|
container_issue | 49 |
container_start_page | 1294 |
container_title | China CDC Weekly |
container_volume | 6 |
creator | Wang, Yifan Jiang, Yue Wang, Hui Liang, Shuang Sambou, Muhammed Lamin Wang, Mei Yang, Meiqi Salimata, Yakubu Xu, Feifei Li, Chenjie Wang, Xiao Yang, Junpeng Zhu, Meng Wang, Cheng Jin, Guangfu Ma, Hongxia Yi, Honggang Shen, Hongbing Dai, Juncheng |
description | China is rapidly encountering population aging, yet studies on aging are limited by the traditional aging measure: chronological age, particularly in the field of genomics. Several promising aging measures have been proposed, but they lack comparative evaluation.
PhenoAge was identified as a measure of aging that demonstrated greater applicability in contemporary populations. Based on this, several novel genetic variants were found to enhance the predictive accuracy of aging.
These findings might provide new insights into aging and facilitate the development of a practical screening program based on PhenoAge, which aims to promote healthy aging in China. |
doi_str_mv | 10.46234/ccdcw2024.258 |
format | Article |
fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_11649982</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>3147135597</sourcerecordid><originalsourceid>FETCH-LOGICAL-c1873-f77596ebdcf2026393aae92ff2d2954166228b3689a41ece8eb087a5b9bf8df3</originalsourceid><addsrcrecordid>eNpVUclu2zAQJYoGjeHkmmPBYw-Ww0XicioMo80CI8khd4KiRhYLmXRFyYH79SWS1Ggus2DevJmHh9AVJctSMF5eO9e4F0ZYuWSV-oRmjGhRSCLp59daFpwSeo4uU_pFCGGaMabEF3TOtdCqVGyGdg_xAD2-gQCjd3gTncerlHKyIzT4xY8dfuogxNUW8Mo56GGwo48BF3jd2bD908UJr_14XOB7n_s04achHnxwsMgIH-wCM0JZkYO-QGet7RNcvuc5ev7543l9W2web-7Wq03hqJK8aKWstIC6cW0WJ7jm1oJmbcsapquSCpF11FwobUsKDhTURElb1bpuVdPyOfr-Rruf6h00DsI42N7sB7-zw9FE683HSfCd2caDoVSUWiuWGb69Mwzx9wRpNDufsvjeBohTMpyWkvKq0jJDl29QN8SUBmhPdygxrzaZk00m25QXvv7_3Qn-zxT-F7o4jaM</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>3147135597</pqid></control><display><type>article</type><title>Novel Genetic Loci Associated with PhenoAge Acceleration - Changzhou City, Jiangsu Province, China, 2012-2019</title><source>PubMed Central Open Access</source><source>PubMed Central</source><creator>Wang, Yifan ; Jiang, Yue ; Wang, Hui ; Liang, Shuang ; Sambou, Muhammed Lamin ; Wang, Mei ; Yang, Meiqi ; Salimata, Yakubu ; Xu, Feifei ; Li, Chenjie ; Wang, Xiao ; Yang, Junpeng ; Zhu, Meng ; Wang, Cheng ; Jin, Guangfu ; Ma, Hongxia ; Yi, Honggang ; Shen, Hongbing ; Dai, Juncheng</creator><creatorcontrib>Wang, Yifan ; Jiang, Yue ; Wang, Hui ; Liang, Shuang ; Sambou, Muhammed Lamin ; Wang, Mei ; Yang, Meiqi ; Salimata, Yakubu ; Xu, Feifei ; Li, Chenjie ; Wang, Xiao ; Yang, Junpeng ; Zhu, Meng ; Wang, Cheng ; Jin, Guangfu ; Ma, Hongxia ; Yi, Honggang ; Shen, Hongbing ; Dai, Juncheng ; Department of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing City, Jiangsu Province, China ; China International Cooperation Center for Environment and Human Health, Nanjing Medical University, Nanjing City, Jiangsu Province, China ; The Chinese Center for Disease Control and Prevention, Beijing, China ; Department of Bioinformatics, School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing City, Jiangsu Province, China ; Jiangsu Life and Health Industry Academician Collaborative Innovation Center, Nanjing City, Jiangsu Province, China ; Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing City, Jiangsu Province, China ; The First School of Clinical Medicine, Nanjing Medical University, Nanjing, China ; State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing City, Jiangsu Province, China ; State Key Lab of Cancer Biomarkers, Prevention and Treatment; Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing City, Jiangsu Province, China</creatorcontrib><description>China is rapidly encountering population aging, yet studies on aging are limited by the traditional aging measure: chronological age, particularly in the field of genomics. Several promising aging measures have been proposed, but they lack comparative evaluation.
PhenoAge was identified as a measure of aging that demonstrated greater applicability in contemporary populations. Based on this, several novel genetic variants were found to enhance the predictive accuracy of aging.
These findings might provide new insights into aging and facilitate the development of a practical screening program based on PhenoAge, which aims to promote healthy aging in China.</description><identifier>ISSN: 2097-3101</identifier><identifier>ISSN: 2096-7071</identifier><identifier>EISSN: 2096-7071</identifier><identifier>DOI: 10.46234/ccdcw2024.258</identifier><identifier>PMID: 39698482</identifier><language>eng</language><publisher>China: Editorial Office of CCDCW, Chinese Center for Disease Control and Prevention</publisher><subject>Preplanned Studies</subject><ispartof>China CDC Weekly, 2024-12, Vol.6 (49), p.1294-1298</ispartof><rights>Copyright © 2024 by Chinese Center for Disease Control and Prevention.</rights><rights>Copyright © 2024 by Chinese Center for Disease Control and Prevention. 2024</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c1873-f77596ebdcf2026393aae92ff2d2954166228b3689a41ece8eb087a5b9bf8df3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC11649982/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC11649982/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,881,27903,27904,53770,53772</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/39698482$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Wang, Yifan</creatorcontrib><creatorcontrib>Jiang, Yue</creatorcontrib><creatorcontrib>Wang, Hui</creatorcontrib><creatorcontrib>Liang, Shuang</creatorcontrib><creatorcontrib>Sambou, Muhammed Lamin</creatorcontrib><creatorcontrib>Wang, Mei</creatorcontrib><creatorcontrib>Yang, Meiqi</creatorcontrib><creatorcontrib>Salimata, Yakubu</creatorcontrib><creatorcontrib>Xu, Feifei</creatorcontrib><creatorcontrib>Li, Chenjie</creatorcontrib><creatorcontrib>Wang, Xiao</creatorcontrib><creatorcontrib>Yang, Junpeng</creatorcontrib><creatorcontrib>Zhu, Meng</creatorcontrib><creatorcontrib>Wang, Cheng</creatorcontrib><creatorcontrib>Jin, Guangfu</creatorcontrib><creatorcontrib>Ma, Hongxia</creatorcontrib><creatorcontrib>Yi, Honggang</creatorcontrib><creatorcontrib>Shen, Hongbing</creatorcontrib><creatorcontrib>Dai, Juncheng</creatorcontrib><creatorcontrib>Department of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing City, Jiangsu Province, China</creatorcontrib><creatorcontrib>China International Cooperation Center for Environment and Human Health, Nanjing Medical University, Nanjing City, Jiangsu Province, China</creatorcontrib><creatorcontrib>The Chinese Center for Disease Control and Prevention, Beijing, China</creatorcontrib><creatorcontrib>Department of Bioinformatics, School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing City, Jiangsu Province, China</creatorcontrib><creatorcontrib>Jiangsu Life and Health Industry Academician Collaborative Innovation Center, Nanjing City, Jiangsu Province, China</creatorcontrib><creatorcontrib>Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing City, Jiangsu Province, China</creatorcontrib><creatorcontrib>The First School of Clinical Medicine, Nanjing Medical University, Nanjing, China</creatorcontrib><creatorcontrib>State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing City, Jiangsu Province, China</creatorcontrib><creatorcontrib>State Key Lab of Cancer Biomarkers, Prevention and Treatment; Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing City, Jiangsu Province, China</creatorcontrib><title>Novel Genetic Loci Associated with PhenoAge Acceleration - Changzhou City, Jiangsu Province, China, 2012-2019</title><title>China CDC Weekly</title><addtitle>China CDC Wkly</addtitle><description>China is rapidly encountering population aging, yet studies on aging are limited by the traditional aging measure: chronological age, particularly in the field of genomics. Several promising aging measures have been proposed, but they lack comparative evaluation.
PhenoAge was identified as a measure of aging that demonstrated greater applicability in contemporary populations. Based on this, several novel genetic variants were found to enhance the predictive accuracy of aging.
These findings might provide new insights into aging and facilitate the development of a practical screening program based on PhenoAge, which aims to promote healthy aging in China.</description><subject>Preplanned Studies</subject><issn>2097-3101</issn><issn>2096-7071</issn><issn>2096-7071</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><recordid>eNpVUclu2zAQJYoGjeHkmmPBYw-Ww0XicioMo80CI8khd4KiRhYLmXRFyYH79SWS1Ggus2DevJmHh9AVJctSMF5eO9e4F0ZYuWSV-oRmjGhRSCLp59daFpwSeo4uU_pFCGGaMabEF3TOtdCqVGyGdg_xAD2-gQCjd3gTncerlHKyIzT4xY8dfuogxNUW8Mo56GGwo48BF3jd2bD908UJr_14XOB7n_s04achHnxwsMgIH-wCM0JZkYO-QGet7RNcvuc5ev7543l9W2web-7Wq03hqJK8aKWstIC6cW0WJ7jm1oJmbcsapquSCpF11FwobUsKDhTURElb1bpuVdPyOfr-Rruf6h00DsI42N7sB7-zw9FE683HSfCd2caDoVSUWiuWGb69Mwzx9wRpNDufsvjeBohTMpyWkvKq0jJDl29QN8SUBmhPdygxrzaZk00m25QXvv7_3Qn-zxT-F7o4jaM</recordid><startdate>20241206</startdate><enddate>20241206</enddate><creator>Wang, Yifan</creator><creator>Jiang, Yue</creator><creator>Wang, Hui</creator><creator>Liang, Shuang</creator><creator>Sambou, Muhammed Lamin</creator><creator>Wang, Mei</creator><creator>Yang, Meiqi</creator><creator>Salimata, Yakubu</creator><creator>Xu, Feifei</creator><creator>Li, Chenjie</creator><creator>Wang, Xiao</creator><creator>Yang, Junpeng</creator><creator>Zhu, Meng</creator><creator>Wang, Cheng</creator><creator>Jin, Guangfu</creator><creator>Ma, Hongxia</creator><creator>Yi, Honggang</creator><creator>Shen, Hongbing</creator><creator>Dai, Juncheng</creator><general>Editorial Office of CCDCW, Chinese Center for Disease Control and Prevention</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20241206</creationdate><title>Novel Genetic Loci Associated with PhenoAge Acceleration - Changzhou City, Jiangsu Province, China, 2012-2019</title><author>Wang, Yifan ; Jiang, Yue ; Wang, Hui ; Liang, Shuang ; Sambou, Muhammed Lamin ; Wang, Mei ; Yang, Meiqi ; Salimata, Yakubu ; Xu, Feifei ; Li, Chenjie ; Wang, Xiao ; Yang, Junpeng ; Zhu, Meng ; Wang, Cheng ; Jin, Guangfu ; Ma, Hongxia ; Yi, Honggang ; Shen, Hongbing ; Dai, Juncheng</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c1873-f77596ebdcf2026393aae92ff2d2954166228b3689a41ece8eb087a5b9bf8df3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Preplanned Studies</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Wang, Yifan</creatorcontrib><creatorcontrib>Jiang, Yue</creatorcontrib><creatorcontrib>Wang, Hui</creatorcontrib><creatorcontrib>Liang, Shuang</creatorcontrib><creatorcontrib>Sambou, Muhammed Lamin</creatorcontrib><creatorcontrib>Wang, Mei</creatorcontrib><creatorcontrib>Yang, Meiqi</creatorcontrib><creatorcontrib>Salimata, Yakubu</creatorcontrib><creatorcontrib>Xu, Feifei</creatorcontrib><creatorcontrib>Li, Chenjie</creatorcontrib><creatorcontrib>Wang, Xiao</creatorcontrib><creatorcontrib>Yang, Junpeng</creatorcontrib><creatorcontrib>Zhu, Meng</creatorcontrib><creatorcontrib>Wang, Cheng</creatorcontrib><creatorcontrib>Jin, Guangfu</creatorcontrib><creatorcontrib>Ma, Hongxia</creatorcontrib><creatorcontrib>Yi, Honggang</creatorcontrib><creatorcontrib>Shen, Hongbing</creatorcontrib><creatorcontrib>Dai, Juncheng</creatorcontrib><creatorcontrib>Department of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing City, Jiangsu Province, China</creatorcontrib><creatorcontrib>China International Cooperation Center for Environment and Human Health, Nanjing Medical University, Nanjing City, Jiangsu Province, China</creatorcontrib><creatorcontrib>The Chinese Center for Disease Control and Prevention, Beijing, China</creatorcontrib><creatorcontrib>Department of Bioinformatics, School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing City, Jiangsu Province, China</creatorcontrib><creatorcontrib>Jiangsu Life and Health Industry Academician Collaborative Innovation Center, Nanjing City, Jiangsu Province, China</creatorcontrib><creatorcontrib>Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing City, Jiangsu Province, China</creatorcontrib><creatorcontrib>The First School of Clinical Medicine, Nanjing Medical University, Nanjing, China</creatorcontrib><creatorcontrib>State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing City, Jiangsu Province, China</creatorcontrib><creatorcontrib>State Key Lab of Cancer Biomarkers, Prevention and Treatment; Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing City, Jiangsu Province, China</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>China CDC Weekly</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wang, Yifan</au><au>Jiang, Yue</au><au>Wang, Hui</au><au>Liang, Shuang</au><au>Sambou, Muhammed Lamin</au><au>Wang, Mei</au><au>Yang, Meiqi</au><au>Salimata, Yakubu</au><au>Xu, Feifei</au><au>Li, Chenjie</au><au>Wang, Xiao</au><au>Yang, Junpeng</au><au>Zhu, Meng</au><au>Wang, Cheng</au><au>Jin, Guangfu</au><au>Ma, Hongxia</au><au>Yi, Honggang</au><au>Shen, Hongbing</au><au>Dai, Juncheng</au><aucorp>Department of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing City, Jiangsu Province, China</aucorp><aucorp>China International Cooperation Center for Environment and Human Health, Nanjing Medical University, Nanjing City, Jiangsu Province, China</aucorp><aucorp>The Chinese Center for Disease Control and Prevention, Beijing, China</aucorp><aucorp>Department of Bioinformatics, School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing City, Jiangsu Province, China</aucorp><aucorp>Jiangsu Life and Health Industry Academician Collaborative Innovation Center, Nanjing City, Jiangsu Province, China</aucorp><aucorp>Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing City, Jiangsu Province, China</aucorp><aucorp>The First School of Clinical Medicine, Nanjing Medical University, Nanjing, China</aucorp><aucorp>State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing City, Jiangsu Province, China</aucorp><aucorp>State Key Lab of Cancer Biomarkers, Prevention and Treatment; Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing City, Jiangsu Province, China</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Novel Genetic Loci Associated with PhenoAge Acceleration - Changzhou City, Jiangsu Province, China, 2012-2019</atitle><jtitle>China CDC Weekly</jtitle><addtitle>China CDC Wkly</addtitle><date>2024-12-06</date><risdate>2024</risdate><volume>6</volume><issue>49</issue><spage>1294</spage><epage>1298</epage><pages>1294-1298</pages><issn>2097-3101</issn><issn>2096-7071</issn><eissn>2096-7071</eissn><abstract>China is rapidly encountering population aging, yet studies on aging are limited by the traditional aging measure: chronological age, particularly in the field of genomics. Several promising aging measures have been proposed, but they lack comparative evaluation.
PhenoAge was identified as a measure of aging that demonstrated greater applicability in contemporary populations. Based on this, several novel genetic variants were found to enhance the predictive accuracy of aging.
These findings might provide new insights into aging and facilitate the development of a practical screening program based on PhenoAge, which aims to promote healthy aging in China.</abstract><cop>China</cop><pub>Editorial Office of CCDCW, Chinese Center for Disease Control and Prevention</pub><pmid>39698482</pmid><doi>10.46234/ccdcw2024.258</doi><tpages>5</tpages><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 2097-3101 |
ispartof | China CDC Weekly, 2024-12, Vol.6 (49), p.1294-1298 |
issn | 2097-3101 2096-7071 2096-7071 |
language | eng |
recordid | cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_11649982 |
source | PubMed Central Open Access; PubMed Central |
subjects | Preplanned Studies |
title | Novel Genetic Loci Associated with PhenoAge Acceleration - Changzhou City, Jiangsu Province, China, 2012-2019 |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-22T21%3A46%3A47IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Novel%20Genetic%20Loci%20Associated%20with%20PhenoAge%20Acceleration%20-%20Changzhou%20City,%20Jiangsu%20Province,%20China,%202012-2019&rft.jtitle=China%20CDC%20Weekly&rft.au=Wang,%20Yifan&rft.aucorp=Department%20of%20Biostatistics,%20School%20of%20Public%20Health,%20Nanjing%20Medical%20University,%20Nanjing%20City,%20Jiangsu%20Province,%20China&rft.date=2024-12-06&rft.volume=6&rft.issue=49&rft.spage=1294&rft.epage=1298&rft.pages=1294-1298&rft.issn=2097-3101&rft.eissn=2096-7071&rft_id=info:doi/10.46234/ccdcw2024.258&rft_dat=%3Cproquest_pubme%3E3147135597%3C/proquest_pubme%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=3147135597&rft_id=info:pmid/39698482&rfr_iscdi=true |