Loading…

Estimating Divergence Times in Large Phylogenetic Trees

A new method, PATHd8, for estimating ultrametric trees from trees with edge (branch) lengths proportional to the number of substitutions is proposed. The method allows for an arbitrary number of reference nodes for time calibration, each defined either as absolute age, minimum age, or maximum age, a...

Full description

Saved in:
Bibliographic Details
Published in:Systematic biology 2007-10, Vol.56 (5), p.741-752
Main Authors: Britton, Tom, Anderson, Cajsa Lisa, Jacquet, David, Lundqvist, Samuel, Bremer, Kåre
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-c502t-62549e72e9118a3ceb7095241fa94273411b5f82e072ac6ec150fb6d6c5f2fab3
cites cdi_FETCH-LOGICAL-c502t-62549e72e9118a3ceb7095241fa94273411b5f82e072ac6ec150fb6d6c5f2fab3
container_end_page 752
container_issue 5
container_start_page 741
container_title Systematic biology
container_volume 56
creator Britton, Tom
Anderson, Cajsa Lisa
Jacquet, David
Lundqvist, Samuel
Bremer, Kåre
description A new method, PATHd8, for estimating ultrametric trees from trees with edge (branch) lengths proportional to the number of substitutions is proposed. The method allows for an arbitrary number of reference nodes for time calibration, each defined either as absolute age, minimum age, or maximum age, and the tree need not be fully resolved. The method is based on estimating node ages by mean path lengths from the node to the leaves but correcting for deviations from a molecular clock suggested by reference nodes. As opposed to most existing methods allowing substitution rate variation, the new method smoothes substitution rates locally, rather than simultaneously over the whole tree, thus allowing for analysis of very large trees. The performance of PATHd8 is compared with other frequently used methods for estimating divergence times. In analyses of three separate data sets, PATHd8 gives similar divergence times to other methods, the largest difference being between crown group ages, where unconstrained nodes get younger ages when analyzed with PATHd8. Overall, chronograms obtained from other methods appear smoother, whereas PATHd8 preserves more of the heterogeneity seen in the original edge lengths. Divergence times are most evenly spread over the chronograms obtained from the Bayesian implementation and the clock-based Langley-Fitch method, and these two methods produce very similar ages for most nodes. Evaluations of PATHd8 using simulated data suggest that PATHd8 is slightly less precise compared with penalized likelihood, but it gives more sensible answers for extreme data sets. A clear advantage with PATHd8 is that it is more or less instantaneous even with trees having several thousand leaves, whereas other programs often run into problems when analyzing trees with hundreds of leaves. PATHd8 is implemented in freely available software.
doi_str_mv 10.1080/10635150701613783
format article
fullrecord <record><control><sourceid>jstor_swepu</sourceid><recordid>TN_cdi_swepub_primary_oai_DiVA_org_uu_96061</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><jstor_id>20143084</jstor_id><oup_id>10.1080/10635150701613783</oup_id><sourcerecordid>20143084</sourcerecordid><originalsourceid>FETCH-LOGICAL-c502t-62549e72e9118a3ceb7095241fa94273411b5f82e072ac6ec150fb6d6c5f2fab3</originalsourceid><addsrcrecordid>eNqNkU9vEzEQxS0EoiXwATiAVhy4wILH_30sbaFIQYAUoOrF8m5ng0OyDvYu0G-Po42CBBdOtvx-741nhpCHQF8ANfQlUMUlSKopKODa8FvkGKhWteHq8vburnhdAH1E7uW8ohRASbhLjkAbo0CIY6LP8xA2fgj9sjoLPzAtsW-xWoQN5ir01dyXl-rD15t1LAoOoa0WCTHfJ3c6v874YH_OyKfX54vTi3r-_s3b05N53UrKhloxKSxqhhbAeN5io6mVTEDnrWCaC4BGdoYh1cy3CtvSTdeoa9XKjnW-4TPybMrNP3E7Nm6bym_TjYs-uLPw-cTFtHTj6KyiZQQz8nSityl-HzEPbhNyi-u17zGO2SnDrGFcFvDJX-AqjqkvnTiwQltrpSgQTFCbYs4Ju0N1oG63APfPAorn8T54bDZ4_cexn3gBnk9AHLf_lfdowld5iOlgYBQEp2YXV096yAP-Oug-fXNKcy3dxeWV-_LRvHp3xYQz_DcJEKNU</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>194799954</pqid></control><display><type>article</type><title>Estimating Divergence Times in Large Phylogenetic Trees</title><source>JSTOR Archival Journals and Primary Sources Collection</source><source>Oxford University Press:Jisc Collections:OUP Read and Publish 2024-2025 (2024 collection) (Reading list)</source><creator>Britton, Tom ; Anderson, Cajsa Lisa ; Jacquet, David ; Lundqvist, Samuel ; Bremer, Kåre</creator><contributor>Anderson, Frank ; Anderson, Frank</contributor><creatorcontrib>Britton, Tom ; Anderson, Cajsa Lisa ; Jacquet, David ; Lundqvist, Samuel ; Bremer, Kåre ; Anderson, Frank ; Anderson, Frank</creatorcontrib><description>A new method, PATHd8, for estimating ultrametric trees from trees with edge (branch) lengths proportional to the number of substitutions is proposed. The method allows for an arbitrary number of reference nodes for time calibration, each defined either as absolute age, minimum age, or maximum age, and the tree need not be fully resolved. The method is based on estimating node ages by mean path lengths from the node to the leaves but correcting for deviations from a molecular clock suggested by reference nodes. As opposed to most existing methods allowing substitution rate variation, the new method smoothes substitution rates locally, rather than simultaneously over the whole tree, thus allowing for analysis of very large trees. The performance of PATHd8 is compared with other frequently used methods for estimating divergence times. In analyses of three separate data sets, PATHd8 gives similar divergence times to other methods, the largest difference being between crown group ages, where unconstrained nodes get younger ages when analyzed with PATHd8. Overall, chronograms obtained from other methods appear smoother, whereas PATHd8 preserves more of the heterogeneity seen in the original edge lengths. Divergence times are most evenly spread over the chronograms obtained from the Bayesian implementation and the clock-based Langley-Fitch method, and these two methods produce very similar ages for most nodes. Evaluations of PATHd8 using simulated data suggest that PATHd8 is slightly less precise compared with penalized likelihood, but it gives more sensible answers for extreme data sets. A clear advantage with PATHd8 is that it is more or less instantaneous even with trees having several thousand leaves, whereas other programs often run into problems when analyzing trees with hundreds of leaves. PATHd8 is implemented in freely available software.</description><identifier>ISSN: 1063-5157</identifier><identifier>ISSN: 1076-836X</identifier><identifier>EISSN: 1076-836X</identifier><identifier>DOI: 10.1080/10635150701613783</identifier><identifier>PMID: 17886144</identifier><language>eng</language><publisher>England: Society of Systematic Zoology</publisher><subject>Analytical estimating ; Bayesian analysis ; Biologi ; Biology ; Chronograms ; Computer Simulation ; Data smoothing ; Datasets ; Divergence times ; Estimated taxes ; Estimates ; estimation ; Estimation methods ; Evolution ; Fossils ; Leaves ; Likelihood Functions ; Methods ; Models, Biological ; molecular clock ; NATURAL SCIENCES ; NATURVETENSKAP ; Operating systems ; Parameter estimation ; phylogenetic trees ; Phylogenetics ; Phylogeny ; Plants - classification ; Software ; substitution rates ; Taxa</subject><ispartof>Systematic biology, 2007-10, Vol.56 (5), p.741-752</ispartof><rights>Copyright 2007 Society of Systematic Biologists</rights><rights>2007 Society of Systematic Biologists 2007</rights><rights>Copyright Society of Systematic Biologists Oct 2007</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c502t-62549e72e9118a3ceb7095241fa94273411b5f82e072ac6ec150fb6d6c5f2fab3</citedby><cites>FETCH-LOGICAL-c502t-62549e72e9118a3ceb7095241fa94273411b5f82e072ac6ec150fb6d6c5f2fab3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.jstor.org/stable/pdf/20143084$$EPDF$$P50$$Gjstor$$H</linktopdf><linktohtml>$$Uhttps://www.jstor.org/stable/20143084$$EHTML$$P50$$Gjstor$$H</linktohtml><link.rule.ids>230,314,780,784,885,27922,27923,58236,58469</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/17886144$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttps://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-96061$$DView record from Swedish Publication Index$$Hfree_for_read</backlink></links><search><contributor>Anderson, Frank</contributor><contributor>Anderson, Frank</contributor><creatorcontrib>Britton, Tom</creatorcontrib><creatorcontrib>Anderson, Cajsa Lisa</creatorcontrib><creatorcontrib>Jacquet, David</creatorcontrib><creatorcontrib>Lundqvist, Samuel</creatorcontrib><creatorcontrib>Bremer, Kåre</creatorcontrib><title>Estimating Divergence Times in Large Phylogenetic Trees</title><title>Systematic biology</title><addtitle>Syst Biol</addtitle><description>A new method, PATHd8, for estimating ultrametric trees from trees with edge (branch) lengths proportional to the number of substitutions is proposed. The method allows for an arbitrary number of reference nodes for time calibration, each defined either as absolute age, minimum age, or maximum age, and the tree need not be fully resolved. The method is based on estimating node ages by mean path lengths from the node to the leaves but correcting for deviations from a molecular clock suggested by reference nodes. As opposed to most existing methods allowing substitution rate variation, the new method smoothes substitution rates locally, rather than simultaneously over the whole tree, thus allowing for analysis of very large trees. The performance of PATHd8 is compared with other frequently used methods for estimating divergence times. In analyses of three separate data sets, PATHd8 gives similar divergence times to other methods, the largest difference being between crown group ages, where unconstrained nodes get younger ages when analyzed with PATHd8. Overall, chronograms obtained from other methods appear smoother, whereas PATHd8 preserves more of the heterogeneity seen in the original edge lengths. Divergence times are most evenly spread over the chronograms obtained from the Bayesian implementation and the clock-based Langley-Fitch method, and these two methods produce very similar ages for most nodes. Evaluations of PATHd8 using simulated data suggest that PATHd8 is slightly less precise compared with penalized likelihood, but it gives more sensible answers for extreme data sets. A clear advantage with PATHd8 is that it is more or less instantaneous even with trees having several thousand leaves, whereas other programs often run into problems when analyzing trees with hundreds of leaves. PATHd8 is implemented in freely available software.</description><subject>Analytical estimating</subject><subject>Bayesian analysis</subject><subject>Biologi</subject><subject>Biology</subject><subject>Chronograms</subject><subject>Computer Simulation</subject><subject>Data smoothing</subject><subject>Datasets</subject><subject>Divergence times</subject><subject>Estimated taxes</subject><subject>Estimates</subject><subject>estimation</subject><subject>Estimation methods</subject><subject>Evolution</subject><subject>Fossils</subject><subject>Leaves</subject><subject>Likelihood Functions</subject><subject>Methods</subject><subject>Models, Biological</subject><subject>molecular clock</subject><subject>NATURAL SCIENCES</subject><subject>NATURVETENSKAP</subject><subject>Operating systems</subject><subject>Parameter estimation</subject><subject>phylogenetic trees</subject><subject>Phylogenetics</subject><subject>Phylogeny</subject><subject>Plants - classification</subject><subject>Software</subject><subject>substitution rates</subject><subject>Taxa</subject><issn>1063-5157</issn><issn>1076-836X</issn><issn>1076-836X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2007</creationdate><recordtype>article</recordtype><recordid>eNqNkU9vEzEQxS0EoiXwATiAVhy4wILH_30sbaFIQYAUoOrF8m5ng0OyDvYu0G-Po42CBBdOtvx-741nhpCHQF8ANfQlUMUlSKopKODa8FvkGKhWteHq8vburnhdAH1E7uW8ohRASbhLjkAbo0CIY6LP8xA2fgj9sjoLPzAtsW-xWoQN5ir01dyXl-rD15t1LAoOoa0WCTHfJ3c6v874YH_OyKfX54vTi3r-_s3b05N53UrKhloxKSxqhhbAeN5io6mVTEDnrWCaC4BGdoYh1cy3CtvSTdeoa9XKjnW-4TPybMrNP3E7Nm6bym_TjYs-uLPw-cTFtHTj6KyiZQQz8nSityl-HzEPbhNyi-u17zGO2SnDrGFcFvDJX-AqjqkvnTiwQltrpSgQTFCbYs4Ju0N1oG63APfPAorn8T54bDZ4_cexn3gBnk9AHLf_lfdowld5iOlgYBQEp2YXV096yAP-Oug-fXNKcy3dxeWV-_LRvHp3xYQz_DcJEKNU</recordid><startdate>20071001</startdate><enddate>20071001</enddate><creator>Britton, Tom</creator><creator>Anderson, Cajsa Lisa</creator><creator>Jacquet, David</creator><creator>Lundqvist, Samuel</creator><creator>Bremer, Kåre</creator><general>Society of Systematic Zoology</general><general>Taylor &amp; Francis</general><general>Oxford University Press</general><scope>BSCLL</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>8AF</scope><scope>8AO</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M2O</scope><scope>M2P</scope><scope>M7P</scope><scope>MBDVC</scope><scope>PADUT</scope><scope>PCBAR</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope><scope>S0X</scope><scope>7X8</scope><scope>ADTPV</scope><scope>AOWAS</scope><scope>DF2</scope></search><sort><creationdate>20071001</creationdate><title>Estimating Divergence Times in Large Phylogenetic Trees</title><author>Britton, Tom ; Anderson, Cajsa Lisa ; Jacquet, David ; Lundqvist, Samuel ; Bremer, Kåre</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c502t-62549e72e9118a3ceb7095241fa94273411b5f82e072ac6ec150fb6d6c5f2fab3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2007</creationdate><topic>Analytical estimating</topic><topic>Bayesian analysis</topic><topic>Biologi</topic><topic>Biology</topic><topic>Chronograms</topic><topic>Computer Simulation</topic><topic>Data smoothing</topic><topic>Datasets</topic><topic>Divergence times</topic><topic>Estimated taxes</topic><topic>Estimates</topic><topic>estimation</topic><topic>Estimation methods</topic><topic>Evolution</topic><topic>Fossils</topic><topic>Leaves</topic><topic>Likelihood Functions</topic><topic>Methods</topic><topic>Models, Biological</topic><topic>molecular clock</topic><topic>NATURAL SCIENCES</topic><topic>NATURVETENSKAP</topic><topic>Operating systems</topic><topic>Parameter estimation</topic><topic>phylogenetic trees</topic><topic>Phylogenetics</topic><topic>Phylogeny</topic><topic>Plants - classification</topic><topic>Software</topic><topic>substitution rates</topic><topic>Taxa</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Britton, Tom</creatorcontrib><creatorcontrib>Anderson, Cajsa Lisa</creatorcontrib><creatorcontrib>Jacquet, David</creatorcontrib><creatorcontrib>Lundqvist, Samuel</creatorcontrib><creatorcontrib>Bremer, Kåre</creatorcontrib><collection>Istex</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>Health &amp; 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>STEM Database</collection><collection>ProQuest Pharma Collection</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>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>Earth, Atmospheric &amp; Aquatic Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health &amp; Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Research Library</collection><collection>Science Database</collection><collection>Biological Science Database</collection><collection>Research Library (Corporate)</collection><collection>Research Library China</collection><collection>Earth, Atmospheric &amp; Aquatic Science 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 China</collection><collection>ProQuest Central Basic</collection><collection>SIRS Editorial</collection><collection>MEDLINE - Academic</collection><collection>SwePub</collection><collection>SwePub Articles</collection><collection>SWEPUB Uppsala universitet</collection><jtitle>Systematic biology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Britton, Tom</au><au>Anderson, Cajsa Lisa</au><au>Jacquet, David</au><au>Lundqvist, Samuel</au><au>Bremer, Kåre</au><au>Anderson, Frank</au><au>Anderson, Frank</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Estimating Divergence Times in Large Phylogenetic Trees</atitle><jtitle>Systematic biology</jtitle><addtitle>Syst Biol</addtitle><date>2007-10-01</date><risdate>2007</risdate><volume>56</volume><issue>5</issue><spage>741</spage><epage>752</epage><pages>741-752</pages><issn>1063-5157</issn><issn>1076-836X</issn><eissn>1076-836X</eissn><abstract>A new method, PATHd8, for estimating ultrametric trees from trees with edge (branch) lengths proportional to the number of substitutions is proposed. The method allows for an arbitrary number of reference nodes for time calibration, each defined either as absolute age, minimum age, or maximum age, and the tree need not be fully resolved. The method is based on estimating node ages by mean path lengths from the node to the leaves but correcting for deviations from a molecular clock suggested by reference nodes. As opposed to most existing methods allowing substitution rate variation, the new method smoothes substitution rates locally, rather than simultaneously over the whole tree, thus allowing for analysis of very large trees. The performance of PATHd8 is compared with other frequently used methods for estimating divergence times. In analyses of three separate data sets, PATHd8 gives similar divergence times to other methods, the largest difference being between crown group ages, where unconstrained nodes get younger ages when analyzed with PATHd8. Overall, chronograms obtained from other methods appear smoother, whereas PATHd8 preserves more of the heterogeneity seen in the original edge lengths. Divergence times are most evenly spread over the chronograms obtained from the Bayesian implementation and the clock-based Langley-Fitch method, and these two methods produce very similar ages for most nodes. Evaluations of PATHd8 using simulated data suggest that PATHd8 is slightly less precise compared with penalized likelihood, but it gives more sensible answers for extreme data sets. A clear advantage with PATHd8 is that it is more or less instantaneous even with trees having several thousand leaves, whereas other programs often run into problems when analyzing trees with hundreds of leaves. PATHd8 is implemented in freely available software.</abstract><cop>England</cop><pub>Society of Systematic Zoology</pub><pmid>17886144</pmid><doi>10.1080/10635150701613783</doi><tpages>12</tpages><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 1063-5157
ispartof Systematic biology, 2007-10, Vol.56 (5), p.741-752
issn 1063-5157
1076-836X
1076-836X
language eng
recordid cdi_swepub_primary_oai_DiVA_org_uu_96061
source JSTOR Archival Journals and Primary Sources Collection; Oxford University Press:Jisc Collections:OUP Read and Publish 2024-2025 (2024 collection) (Reading list)
subjects Analytical estimating
Bayesian analysis
Biologi
Biology
Chronograms
Computer Simulation
Data smoothing
Datasets
Divergence times
Estimated taxes
Estimates
estimation
Estimation methods
Evolution
Fossils
Leaves
Likelihood Functions
Methods
Models, Biological
molecular clock
NATURAL SCIENCES
NATURVETENSKAP
Operating systems
Parameter estimation
phylogenetic trees
Phylogenetics
Phylogeny
Plants - classification
Software
substitution rates
Taxa
title Estimating Divergence Times in Large Phylogenetic Trees
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-14T12%3A29%3A07IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-jstor_swepu&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Estimating%20Divergence%20Times%20in%20Large%20Phylogenetic%20Trees&rft.jtitle=Systematic%20biology&rft.au=Britton,%20Tom&rft.date=2007-10-01&rft.volume=56&rft.issue=5&rft.spage=741&rft.epage=752&rft.pages=741-752&rft.issn=1063-5157&rft.eissn=1076-836X&rft_id=info:doi/10.1080/10635150701613783&rft_dat=%3Cjstor_swepu%3E20143084%3C/jstor_swepu%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c502t-62549e72e9118a3ceb7095241fa94273411b5f82e072ac6ec150fb6d6c5f2fab3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=194799954&rft_id=info:pmid/17886144&rft_jstor_id=20143084&rft_oup_id=10.1080/10635150701613783&rfr_iscdi=true