Loading…
A genome-wide association and polygenic risk score study on abnormal electrocardiogram in a Chinese population
Electrocardiography is a common and widely-performed medical examination based on the measurement and evaluation of electrocardiogram (ECG) to assess the up-to-date cardiac rhythms and thus suggest the health conditions of cardiovascular system and on a larger level the individual’s wellness. Abnorm...
Saved in:
Published in: | Scientific reports 2021-02, Vol.11 (1), p.4669-4669, Article 4669 |
---|---|
Main Authors: | , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
cited_by | |
---|---|
cites | cdi_FETCH-LOGICAL-c519t-aa079da57b10190bf5e496ab2aeb29ae880a1e20bfd1c3688a4818ce5ec61ec13 |
container_end_page | 4669 |
container_issue | 1 |
container_start_page | 4669 |
container_title | Scientific reports |
container_volume | 11 |
creator | Wang, Mengqiao Gao, Jiaqi Shi, Yang Zhao, Xing |
description | Electrocardiography is a common and widely-performed medical examination based on the measurement and evaluation of electrocardiogram (ECG) to assess the up-to-date cardiac rhythms and thus suggest the health conditions of cardiovascular system and on a larger level the individual’s wellness. Abnormal ECG assessment from the detection of abnormal heart rhythms may have clinical implications including blood clots in formation, ongoing heart attack, coronary artery blockage, etc. Past genetic-phenotypic research focused primarily on the physical parameters of ECG but not the medical evaluation. To unbiasedly uncover the underlying links of genetic variants with normal vs
.
abnormal ECG assessment, a genome-wide association study (GWAS) is carried out in a 1006-participant cohort of Chinese population effectively genotyped for 243487 single nucleotide polymorphisms (SNPs). Both age and sex are influential factors, and six novel SNPs are identified for potential association with abnormal ECG. With the selected SNPs, a polygenic risk score (PRS) differentiates the case–control subgroups, and correlates well with increased risk of abnormal ECG. The findings are reproduced in an independent validation cohort. The derived PRS may function as a potential biomarker for prospectively screening the high-risk subgroup of heart issues in the Chinese population. |
doi_str_mv | 10.1038/s41598-021-84135-7 |
format | article |
fullrecord | <record><control><sourceid>proquest_doaj_</sourceid><recordid>TN_cdi_doaj_primary_oai_doaj_org_article_841bcfa908234708a64fdf0be4b9361d</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><doaj_id>oai_doaj_org_article_841bcfa908234708a64fdf0be4b9361d</doaj_id><sourcerecordid>2493256856</sourcerecordid><originalsourceid>FETCH-LOGICAL-c519t-aa079da57b10190bf5e496ab2aeb29ae880a1e20bfd1c3688a4818ce5ec61ec13</originalsourceid><addsrcrecordid>eNp9ks1u1DAURiMEolXpC7BAltiwSfFvYm-QqhHQSpXYwNq6cW6mHhJ7sBOqeXs8M6W0LOqNrXzHJ7b1VdVbRi8YFfpjlkwZXVPOai2ZUHX7ojrlVKqaC85fPlqfVOc5b2gZihvJzOvqRIhGCEHZaRUuyRpDnLC-8z0SyDk6D7OPgUDoyTaOu5J7R5LPP0l2MSHJ89LvyJ7oQkwTjARHdHOKDlLv4zrBRHxJyerWB8xYLNtlPEjfVK8GGDOe389n1Y8vn7-vruqbb1-vV5c3tVPMzDUAbU0Pqu0YZYZ2g0JpGug4YMcNoNYUGPIS9MyJRmuQmmmHCl3D0DFxVl0fvX2Ejd0mP0Ha2QjeHj7EtLaQZu9GtOX1OjeAoZoL2VINjRz6gXYoOyMa1hfXp6Nru3QT9g7DnGB8In2aBH9r1_G3bQ1tOVVF8OFekOKvBfNsJ58djiMEjEu2XBrJW6OpLOj7_9BNXFIoT2W5KjpNmWifpaQRXDVaNYXiR8qlmHPC4eHIjNp9h-yxQ7Z0yB46ZPfqd48v-7Dlb2MKII5ALlFYY_r372e0fwAy89LW</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2493256856</pqid></control><display><type>article</type><title>A genome-wide association and polygenic risk score study on abnormal electrocardiogram in a Chinese population</title><source>Publicly Available Content Database</source><source>Full-Text Journals in Chemistry (Open access)</source><source>PubMed Central</source><source>Springer Nature - nature.com Journals - Fully Open Access</source><creator>Wang, Mengqiao ; Gao, Jiaqi ; Shi, Yang ; Zhao, Xing</creator><creatorcontrib>Wang, Mengqiao ; Gao, Jiaqi ; Shi, Yang ; Zhao, Xing</creatorcontrib><description>Electrocardiography is a common and widely-performed medical examination based on the measurement and evaluation of electrocardiogram (ECG) to assess the up-to-date cardiac rhythms and thus suggest the health conditions of cardiovascular system and on a larger level the individual’s wellness. Abnormal ECG assessment from the detection of abnormal heart rhythms may have clinical implications including blood clots in formation, ongoing heart attack, coronary artery blockage, etc. Past genetic-phenotypic research focused primarily on the physical parameters of ECG but not the medical evaluation. To unbiasedly uncover the underlying links of genetic variants with normal vs
.
abnormal ECG assessment, a genome-wide association study (GWAS) is carried out in a 1006-participant cohort of Chinese population effectively genotyped for 243487 single nucleotide polymorphisms (SNPs). Both age and sex are influential factors, and six novel SNPs are identified for potential association with abnormal ECG. With the selected SNPs, a polygenic risk score (PRS) differentiates the case–control subgroups, and correlates well with increased risk of abnormal ECG. The findings are reproduced in an independent validation cohort. The derived PRS may function as a potential biomarker for prospectively screening the high-risk subgroup of heart issues in the Chinese population.</description><identifier>ISSN: 2045-2322</identifier><identifier>EISSN: 2045-2322</identifier><identifier>DOI: 10.1038/s41598-021-84135-7</identifier><identifier>PMID: 33633301</identifier><language>eng</language><publisher>London: Nature Publishing Group UK</publisher><subject>631/208/205 ; 692/53/2423 ; Biomarkers ; Blood coagulation ; Cardiovascular system ; Case-Control Studies ; China ; Cohort Studies ; Coronary artery ; EKG ; Electrocardiography ; Genetic diversity ; Genetic Predisposition to Disease ; Genetic variance ; Genome-wide association studies ; Genome-Wide Association Study ; Genomes ; Heart ; Heart - physiopathology ; Humanities and Social Sciences ; Humans ; multidisciplinary ; Multifactorial Inheritance ; Myocardial infarction ; Polymorphism, Single Nucleotide ; Risk Factors ; Risk groups ; Science ; Science (multidisciplinary) ; Single-nucleotide polymorphism</subject><ispartof>Scientific reports, 2021-02, Vol.11 (1), p.4669-4669, Article 4669</ispartof><rights>The Author(s) 2021. corrected publication 2021</rights><rights>The Author(s) 2021. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>The Author(s) 2021. corrected publication 2021. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>The Author(s) 2021, corrected publication 2021</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c519t-aa079da57b10190bf5e496ab2aeb29ae880a1e20bfd1c3688a4818ce5ec61ec13</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2493256856/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2493256856?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,25753,27924,27925,37012,37013,44590,53791,53793,74998</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/33633301$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Wang, Mengqiao</creatorcontrib><creatorcontrib>Gao, Jiaqi</creatorcontrib><creatorcontrib>Shi, Yang</creatorcontrib><creatorcontrib>Zhao, Xing</creatorcontrib><title>A genome-wide association and polygenic risk score study on abnormal electrocardiogram in a Chinese population</title><title>Scientific reports</title><addtitle>Sci Rep</addtitle><addtitle>Sci Rep</addtitle><description>Electrocardiography is a common and widely-performed medical examination based on the measurement and evaluation of electrocardiogram (ECG) to assess the up-to-date cardiac rhythms and thus suggest the health conditions of cardiovascular system and on a larger level the individual’s wellness. Abnormal ECG assessment from the detection of abnormal heart rhythms may have clinical implications including blood clots in formation, ongoing heart attack, coronary artery blockage, etc. Past genetic-phenotypic research focused primarily on the physical parameters of ECG but not the medical evaluation. To unbiasedly uncover the underlying links of genetic variants with normal vs
.
abnormal ECG assessment, a genome-wide association study (GWAS) is carried out in a 1006-participant cohort of Chinese population effectively genotyped for 243487 single nucleotide polymorphisms (SNPs). Both age and sex are influential factors, and six novel SNPs are identified for potential association with abnormal ECG. With the selected SNPs, a polygenic risk score (PRS) differentiates the case–control subgroups, and correlates well with increased risk of abnormal ECG. The findings are reproduced in an independent validation cohort. The derived PRS may function as a potential biomarker for prospectively screening the high-risk subgroup of heart issues in the Chinese population.</description><subject>631/208/205</subject><subject>692/53/2423</subject><subject>Biomarkers</subject><subject>Blood coagulation</subject><subject>Cardiovascular system</subject><subject>Case-Control Studies</subject><subject>China</subject><subject>Cohort Studies</subject><subject>Coronary artery</subject><subject>EKG</subject><subject>Electrocardiography</subject><subject>Genetic diversity</subject><subject>Genetic Predisposition to Disease</subject><subject>Genetic variance</subject><subject>Genome-wide association studies</subject><subject>Genome-Wide Association Study</subject><subject>Genomes</subject><subject>Heart</subject><subject>Heart - physiopathology</subject><subject>Humanities and Social Sciences</subject><subject>Humans</subject><subject>multidisciplinary</subject><subject>Multifactorial Inheritance</subject><subject>Myocardial infarction</subject><subject>Polymorphism, Single Nucleotide</subject><subject>Risk Factors</subject><subject>Risk groups</subject><subject>Science</subject><subject>Science (multidisciplinary)</subject><subject>Single-nucleotide polymorphism</subject><issn>2045-2322</issn><issn>2045-2322</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNp9ks1u1DAURiMEolXpC7BAltiwSfFvYm-QqhHQSpXYwNq6cW6mHhJ7sBOqeXs8M6W0LOqNrXzHJ7b1VdVbRi8YFfpjlkwZXVPOai2ZUHX7ojrlVKqaC85fPlqfVOc5b2gZihvJzOvqRIhGCEHZaRUuyRpDnLC-8z0SyDk6D7OPgUDoyTaOu5J7R5LPP0l2MSHJ89LvyJ7oQkwTjARHdHOKDlLv4zrBRHxJyerWB8xYLNtlPEjfVK8GGDOe389n1Y8vn7-vruqbb1-vV5c3tVPMzDUAbU0Pqu0YZYZ2g0JpGug4YMcNoNYUGPIS9MyJRmuQmmmHCl3D0DFxVl0fvX2Ejd0mP0Ha2QjeHj7EtLaQZu9GtOX1OjeAoZoL2VINjRz6gXYoOyMa1hfXp6Nru3QT9g7DnGB8In2aBH9r1_G3bQ1tOVVF8OFekOKvBfNsJ58djiMEjEu2XBrJW6OpLOj7_9BNXFIoT2W5KjpNmWifpaQRXDVaNYXiR8qlmHPC4eHIjNp9h-yxQ7Z0yB46ZPfqd48v-7Dlb2MKII5ALlFYY_r372e0fwAy89LW</recordid><startdate>20210225</startdate><enddate>20210225</enddate><creator>Wang, Mengqiao</creator><creator>Gao, Jiaqi</creator><creator>Shi, Yang</creator><creator>Zhao, Xing</creator><general>Nature Publishing Group UK</general><general>Nature Publishing Group</general><general>Nature Portfolio</general><scope>C6C</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88A</scope><scope>88E</scope><scope>88I</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M2P</scope><scope>M7P</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20210225</creationdate><title>A genome-wide association and polygenic risk score study on abnormal electrocardiogram in a Chinese population</title><author>Wang, Mengqiao ; Gao, Jiaqi ; Shi, Yang ; Zhao, Xing</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c519t-aa079da57b10190bf5e496ab2aeb29ae880a1e20bfd1c3688a4818ce5ec61ec13</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>631/208/205</topic><topic>692/53/2423</topic><topic>Biomarkers</topic><topic>Blood coagulation</topic><topic>Cardiovascular system</topic><topic>Case-Control Studies</topic><topic>China</topic><topic>Cohort Studies</topic><topic>Coronary artery</topic><topic>EKG</topic><topic>Electrocardiography</topic><topic>Genetic diversity</topic><topic>Genetic Predisposition to Disease</topic><topic>Genetic variance</topic><topic>Genome-wide association studies</topic><topic>Genome-Wide Association Study</topic><topic>Genomes</topic><topic>Heart</topic><topic>Heart - physiopathology</topic><topic>Humanities and Social Sciences</topic><topic>Humans</topic><topic>multidisciplinary</topic><topic>Multifactorial Inheritance</topic><topic>Myocardial infarction</topic><topic>Polymorphism, Single Nucleotide</topic><topic>Risk Factors</topic><topic>Risk groups</topic><topic>Science</topic><topic>Science (multidisciplinary)</topic><topic>Single-nucleotide polymorphism</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Wang, Mengqiao</creatorcontrib><creatorcontrib>Gao, Jiaqi</creatorcontrib><creatorcontrib>Shi, Yang</creatorcontrib><creatorcontrib>Zhao, Xing</creatorcontrib><collection>SpringerOpen</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>ProQuest Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Biology Database (Alumni Edition)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Science Database (Alumni Edition)</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection (Proquest) (PQ_SDU_P3)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Biological Sciences</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>PML(ProQuest Medical Library)</collection><collection>ProQuest Science Journals</collection><collection>Biological Science Database</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>Scientific reports</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wang, Mengqiao</au><au>Gao, Jiaqi</au><au>Shi, Yang</au><au>Zhao, Xing</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A genome-wide association and polygenic risk score study on abnormal electrocardiogram in a Chinese population</atitle><jtitle>Scientific reports</jtitle><stitle>Sci Rep</stitle><addtitle>Sci Rep</addtitle><date>2021-02-25</date><risdate>2021</risdate><volume>11</volume><issue>1</issue><spage>4669</spage><epage>4669</epage><pages>4669-4669</pages><artnum>4669</artnum><issn>2045-2322</issn><eissn>2045-2322</eissn><abstract>Electrocardiography is a common and widely-performed medical examination based on the measurement and evaluation of electrocardiogram (ECG) to assess the up-to-date cardiac rhythms and thus suggest the health conditions of cardiovascular system and on a larger level the individual’s wellness. Abnormal ECG assessment from the detection of abnormal heart rhythms may have clinical implications including blood clots in formation, ongoing heart attack, coronary artery blockage, etc. Past genetic-phenotypic research focused primarily on the physical parameters of ECG but not the medical evaluation. To unbiasedly uncover the underlying links of genetic variants with normal vs
.
abnormal ECG assessment, a genome-wide association study (GWAS) is carried out in a 1006-participant cohort of Chinese population effectively genotyped for 243487 single nucleotide polymorphisms (SNPs). Both age and sex are influential factors, and six novel SNPs are identified for potential association with abnormal ECG. With the selected SNPs, a polygenic risk score (PRS) differentiates the case–control subgroups, and correlates well with increased risk of abnormal ECG. The findings are reproduced in an independent validation cohort. The derived PRS may function as a potential biomarker for prospectively screening the high-risk subgroup of heart issues in the Chinese population.</abstract><cop>London</cop><pub>Nature Publishing Group UK</pub><pmid>33633301</pmid><doi>10.1038/s41598-021-84135-7</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 2045-2322 |
ispartof | Scientific reports, 2021-02, Vol.11 (1), p.4669-4669, Article 4669 |
issn | 2045-2322 2045-2322 |
language | eng |
recordid | cdi_doaj_primary_oai_doaj_org_article_841bcfa908234708a64fdf0be4b9361d |
source | Publicly Available Content Database; Full-Text Journals in Chemistry (Open access); PubMed Central; Springer Nature - nature.com Journals - Fully Open Access |
subjects | 631/208/205 692/53/2423 Biomarkers Blood coagulation Cardiovascular system Case-Control Studies China Cohort Studies Coronary artery EKG Electrocardiography Genetic diversity Genetic Predisposition to Disease Genetic variance Genome-wide association studies Genome-Wide Association Study Genomes Heart Heart - physiopathology Humanities and Social Sciences Humans multidisciplinary Multifactorial Inheritance Myocardial infarction Polymorphism, Single Nucleotide Risk Factors Risk groups Science Science (multidisciplinary) Single-nucleotide polymorphism |
title | A genome-wide association and polygenic risk score study on abnormal electrocardiogram in a Chinese population |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-07T19%3A11%3A16IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_doaj_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=A%20genome-wide%20association%20and%20polygenic%20risk%20score%20study%20on%20abnormal%20electrocardiogram%20in%20a%20Chinese%20population&rft.jtitle=Scientific%20reports&rft.au=Wang,%20Mengqiao&rft.date=2021-02-25&rft.volume=11&rft.issue=1&rft.spage=4669&rft.epage=4669&rft.pages=4669-4669&rft.artnum=4669&rft.issn=2045-2322&rft.eissn=2045-2322&rft_id=info:doi/10.1038/s41598-021-84135-7&rft_dat=%3Cproquest_doaj_%3E2493256856%3C/proquest_doaj_%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c519t-aa079da57b10190bf5e496ab2aeb29ae880a1e20bfd1c3688a4818ce5ec61ec13%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2493256856&rft_id=info:pmid/33633301&rfr_iscdi=true |