Loading…

Design Options for Molecular Epidemiology Research within Cohort Studies

Past discussions of the relative strengths of nested case-control and case-cohort designs have not fully considered cohorts with stored biological samples in which biomarker analyses are planned. Issues related to biomarker analyses can affect an investigator's choice of design and the conduct...

Full description

Saved in:
Bibliographic Details
Published in:Cancer epidemiology, biomarkers & prevention biomarkers & prevention, 2005-08, Vol.14 (8), p.1899-1907
Main Authors: RUNDLE, Andrew G, VINEIS, Paolo, AHSAN, Habibul
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by cdi_FETCH-LOGICAL-c436t-df66c4cc58b6d6ea61157b6805a68e96ee69ac7bf0824ca22754ea97b72f0e503
cites cdi_FETCH-LOGICAL-c436t-df66c4cc58b6d6ea61157b6805a68e96ee69ac7bf0824ca22754ea97b72f0e503
container_end_page 1907
container_issue 8
container_start_page 1899
container_title Cancer epidemiology, biomarkers & prevention
container_volume 14
creator RUNDLE, Andrew G
VINEIS, Paolo
AHSAN, Habibul
description Past discussions of the relative strengths of nested case-control and case-cohort designs have not fully considered cohorts with stored biological samples in which biomarker analyses are planned. Issues related to biomarker analyses can affect an investigator's choice of design and the conduct of these two designs. The key issues identified are effects of analytic batch, long-term storage, and freeze-thaw cycles on biomarkers. In comparison with the nested case-control design, the case-cohort design is less able to handle these challenges. Problems arise because most implementations of the case-cohort design do not allow for simultaneous evaluation of biomarkers in cases and reference group members, and there is no matching. By design, the nested case-control study controls for storage duration and the batching of biological samples from cases and controls is logistically simple. The allowance for matching also means that subjects can be matched on the number of freeze-thaw cycles experienced by the biological sample. However, the matching generates complex data sets that can be more difficult to analyze, and the costly biomarker data generated from the controls has few uses outside of testing the specific hypotheses of the study. In addition, because the same subject can serve as a control and a case, or multiple times as a control, biomarker analyses and sample batching can be more complex than initially anticipated. However, in total, of the two designs, the nested case-control study is better suited for studying biomarkers that can be influenced by analytic batch, long-term storage, and freeze-thaw cycles.
doi_str_mv 10.1158/1055-9965.EPI-04-0860
format article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_68480571</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>68480571</sourcerecordid><originalsourceid>FETCH-LOGICAL-c436t-df66c4cc58b6d6ea61157b6805a68e96ee69ac7bf0824ca22754ea97b72f0e503</originalsourceid><addsrcrecordid>eNpFkEtP3DAURi3UCijlJ1BlU9RN6HXi5xINw0OioupjbTnOzcRVJh7sRIh_X48miNW9i_PdxyHkgsIVpVx9p8B5qbXgV-ufDyWwEpSAI3JKea1KKTn_kPs35oR8SukfAEjN-TE5oYJCzWp-Su5vMPnNWDztJh_GVHQhFj_CgG4ebCzWO9_i1ochbF6LX5jQRtcXL37q_VisQh_iVPye5tZj-kw-dnZIeL7UM_L3dv1ndV8-Pt09rK4fS8dqMZVtJ4RjznHViFagFfkZ2QgF3AqFWiAKbZ1sOlAVc7aqJGdotWxk1QFyqM_I5WHuLobnGdNktj45HAY7YpiTEYrlYZJmkB9AF0NKETuzi35r46uhYPYKzV6P2esxWaEBZvYKc-7LsmButti-pxZnGfi6ADY5O3TRjs6nd05CBZpVmft24Hq_6V98ROMyiTEuHg1lJh-htK7_A4Gvh94</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>68480571</pqid></control><display><type>article</type><title>Design Options for Molecular Epidemiology Research within Cohort Studies</title><source>EZB Electronic Journals Library</source><creator>RUNDLE, Andrew G ; VINEIS, Paolo ; AHSAN, Habibul</creator><creatorcontrib>RUNDLE, Andrew G ; VINEIS, Paolo ; AHSAN, Habibul</creatorcontrib><description>Past discussions of the relative strengths of nested case-control and case-cohort designs have not fully considered cohorts with stored biological samples in which biomarker analyses are planned. Issues related to biomarker analyses can affect an investigator's choice of design and the conduct of these two designs. The key issues identified are effects of analytic batch, long-term storage, and freeze-thaw cycles on biomarkers. In comparison with the nested case-control design, the case-cohort design is less able to handle these challenges. Problems arise because most implementations of the case-cohort design do not allow for simultaneous evaluation of biomarkers in cases and reference group members, and there is no matching. By design, the nested case-control study controls for storage duration and the batching of biological samples from cases and controls is logistically simple. The allowance for matching also means that subjects can be matched on the number of freeze-thaw cycles experienced by the biological sample. However, the matching generates complex data sets that can be more difficult to analyze, and the costly biomarker data generated from the controls has few uses outside of testing the specific hypotheses of the study. In addition, because the same subject can serve as a control and a case, or multiple times as a control, biomarker analyses and sample batching can be more complex than initially anticipated. However, in total, of the two designs, the nested case-control study is better suited for studying biomarkers that can be influenced by analytic batch, long-term storage, and freeze-thaw cycles.</description><identifier>ISSN: 1055-9965</identifier><identifier>EISSN: 1538-7755</identifier><identifier>DOI: 10.1158/1055-9965.EPI-04-0860</identifier><identifier>PMID: 16103435</identifier><language>eng</language><publisher>Philadelphia, PA: American Association for Cancer Research</publisher><subject>Biological and medical sciences ; Biomarkers ; Biomarkers, Tumor - isolation &amp; purification ; Case-cohort ; Case-Control Studies ; Cohort ; Cohort Studies ; Epidemiology ; Humans ; Medical sciences ; Methods ; Molecular Epidemiology ; Neoplasms - metabolism ; Nested case-control ; Tumors</subject><ispartof>Cancer epidemiology, biomarkers &amp; prevention, 2005-08, Vol.14 (8), p.1899-1907</ispartof><rights>2005 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c436t-df66c4cc58b6d6ea61157b6805a68e96ee69ac7bf0824ca22754ea97b72f0e503</citedby><cites>FETCH-LOGICAL-c436t-df66c4cc58b6d6ea61157b6805a68e96ee69ac7bf0824ca22754ea97b72f0e503</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27901,27902</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&amp;idt=17020942$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/16103435$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>RUNDLE, Andrew G</creatorcontrib><creatorcontrib>VINEIS, Paolo</creatorcontrib><creatorcontrib>AHSAN, Habibul</creatorcontrib><title>Design Options for Molecular Epidemiology Research within Cohort Studies</title><title>Cancer epidemiology, biomarkers &amp; prevention</title><addtitle>Cancer Epidemiol Biomarkers Prev</addtitle><description>Past discussions of the relative strengths of nested case-control and case-cohort designs have not fully considered cohorts with stored biological samples in which biomarker analyses are planned. Issues related to biomarker analyses can affect an investigator's choice of design and the conduct of these two designs. The key issues identified are effects of analytic batch, long-term storage, and freeze-thaw cycles on biomarkers. In comparison with the nested case-control design, the case-cohort design is less able to handle these challenges. Problems arise because most implementations of the case-cohort design do not allow for simultaneous evaluation of biomarkers in cases and reference group members, and there is no matching. By design, the nested case-control study controls for storage duration and the batching of biological samples from cases and controls is logistically simple. The allowance for matching also means that subjects can be matched on the number of freeze-thaw cycles experienced by the biological sample. However, the matching generates complex data sets that can be more difficult to analyze, and the costly biomarker data generated from the controls has few uses outside of testing the specific hypotheses of the study. In addition, because the same subject can serve as a control and a case, or multiple times as a control, biomarker analyses and sample batching can be more complex than initially anticipated. However, in total, of the two designs, the nested case-control study is better suited for studying biomarkers that can be influenced by analytic batch, long-term storage, and freeze-thaw cycles.</description><subject>Biological and medical sciences</subject><subject>Biomarkers</subject><subject>Biomarkers, Tumor - isolation &amp; purification</subject><subject>Case-cohort</subject><subject>Case-Control Studies</subject><subject>Cohort</subject><subject>Cohort Studies</subject><subject>Epidemiology</subject><subject>Humans</subject><subject>Medical sciences</subject><subject>Methods</subject><subject>Molecular Epidemiology</subject><subject>Neoplasms - metabolism</subject><subject>Nested case-control</subject><subject>Tumors</subject><issn>1055-9965</issn><issn>1538-7755</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2005</creationdate><recordtype>article</recordtype><recordid>eNpFkEtP3DAURi3UCijlJ1BlU9RN6HXi5xINw0OioupjbTnOzcRVJh7sRIh_X48miNW9i_PdxyHkgsIVpVx9p8B5qbXgV-ufDyWwEpSAI3JKea1KKTn_kPs35oR8SukfAEjN-TE5oYJCzWp-Su5vMPnNWDztJh_GVHQhFj_CgG4ebCzWO9_i1ochbF6LX5jQRtcXL37q_VisQh_iVPye5tZj-kw-dnZIeL7UM_L3dv1ndV8-Pt09rK4fS8dqMZVtJ4RjznHViFagFfkZ2QgF3AqFWiAKbZ1sOlAVc7aqJGdotWxk1QFyqM_I5WHuLobnGdNktj45HAY7YpiTEYrlYZJmkB9AF0NKETuzi35r46uhYPYKzV6P2esxWaEBZvYKc-7LsmButti-pxZnGfi6ADY5O3TRjs6nd05CBZpVmft24Hq_6V98ROMyiTEuHg1lJh-htK7_A4Gvh94</recordid><startdate>20050801</startdate><enddate>20050801</enddate><creator>RUNDLE, Andrew G</creator><creator>VINEIS, Paolo</creator><creator>AHSAN, Habibul</creator><general>American Association for Cancer Research</general><scope>IQODW</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>7X8</scope></search><sort><creationdate>20050801</creationdate><title>Design Options for Molecular Epidemiology Research within Cohort Studies</title><author>RUNDLE, Andrew G ; VINEIS, Paolo ; AHSAN, Habibul</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c436t-df66c4cc58b6d6ea61157b6805a68e96ee69ac7bf0824ca22754ea97b72f0e503</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2005</creationdate><topic>Biological and medical sciences</topic><topic>Biomarkers</topic><topic>Biomarkers, Tumor - isolation &amp; purification</topic><topic>Case-cohort</topic><topic>Case-Control Studies</topic><topic>Cohort</topic><topic>Cohort Studies</topic><topic>Epidemiology</topic><topic>Humans</topic><topic>Medical sciences</topic><topic>Methods</topic><topic>Molecular Epidemiology</topic><topic>Neoplasms - metabolism</topic><topic>Nested case-control</topic><topic>Tumors</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>RUNDLE, Andrew G</creatorcontrib><creatorcontrib>VINEIS, Paolo</creatorcontrib><creatorcontrib>AHSAN, Habibul</creatorcontrib><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Cancer epidemiology, biomarkers &amp; prevention</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>RUNDLE, Andrew G</au><au>VINEIS, Paolo</au><au>AHSAN, Habibul</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Design Options for Molecular Epidemiology Research within Cohort Studies</atitle><jtitle>Cancer epidemiology, biomarkers &amp; prevention</jtitle><addtitle>Cancer Epidemiol Biomarkers Prev</addtitle><date>2005-08-01</date><risdate>2005</risdate><volume>14</volume><issue>8</issue><spage>1899</spage><epage>1907</epage><pages>1899-1907</pages><issn>1055-9965</issn><eissn>1538-7755</eissn><abstract>Past discussions of the relative strengths of nested case-control and case-cohort designs have not fully considered cohorts with stored biological samples in which biomarker analyses are planned. Issues related to biomarker analyses can affect an investigator's choice of design and the conduct of these two designs. The key issues identified are effects of analytic batch, long-term storage, and freeze-thaw cycles on biomarkers. In comparison with the nested case-control design, the case-cohort design is less able to handle these challenges. Problems arise because most implementations of the case-cohort design do not allow for simultaneous evaluation of biomarkers in cases and reference group members, and there is no matching. By design, the nested case-control study controls for storage duration and the batching of biological samples from cases and controls is logistically simple. The allowance for matching also means that subjects can be matched on the number of freeze-thaw cycles experienced by the biological sample. However, the matching generates complex data sets that can be more difficult to analyze, and the costly biomarker data generated from the controls has few uses outside of testing the specific hypotheses of the study. In addition, because the same subject can serve as a control and a case, or multiple times as a control, biomarker analyses and sample batching can be more complex than initially anticipated. However, in total, of the two designs, the nested case-control study is better suited for studying biomarkers that can be influenced by analytic batch, long-term storage, and freeze-thaw cycles.</abstract><cop>Philadelphia, PA</cop><pub>American Association for Cancer Research</pub><pmid>16103435</pmid><doi>10.1158/1055-9965.EPI-04-0860</doi><tpages>9</tpages></addata></record>
fulltext fulltext
identifier ISSN: 1055-9965
ispartof Cancer epidemiology, biomarkers & prevention, 2005-08, Vol.14 (8), p.1899-1907
issn 1055-9965
1538-7755
language eng
recordid cdi_proquest_miscellaneous_68480571
source EZB Electronic Journals Library
subjects Biological and medical sciences
Biomarkers
Biomarkers, Tumor - isolation & purification
Case-cohort
Case-Control Studies
Cohort
Cohort Studies
Epidemiology
Humans
Medical sciences
Methods
Molecular Epidemiology
Neoplasms - metabolism
Nested case-control
Tumors
title Design Options for Molecular Epidemiology Research within Cohort Studies
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-28T17%3A41%3A44IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Design%20Options%20for%20Molecular%20Epidemiology%20Research%20within%20Cohort%20Studies&rft.jtitle=Cancer%20epidemiology,%20biomarkers%20&%20prevention&rft.au=RUNDLE,%20Andrew%20G&rft.date=2005-08-01&rft.volume=14&rft.issue=8&rft.spage=1899&rft.epage=1907&rft.pages=1899-1907&rft.issn=1055-9965&rft.eissn=1538-7755&rft_id=info:doi/10.1158/1055-9965.EPI-04-0860&rft_dat=%3Cproquest_cross%3E68480571%3C/proquest_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c436t-df66c4cc58b6d6ea61157b6805a68e96ee69ac7bf0824ca22754ea97b72f0e503%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=68480571&rft_id=info:pmid/16103435&rfr_iscdi=true