Visual analysis of geocoded twin data puts nature and nurture on the map
Twin studies allow us to estimate the relative contributions of nature and nurture to human phenotypes by comparing the resemblance of identical and fraternal twins. Variation in complex traits is a balance of genetic and environmental influences; these influences are typically estimated at a popula...
Gespeichert in:
| Veröffentlicht in: | Molecular psychiatry 2012-09, Vol.17 (9), p.867-874 |
|---|---|
| Hauptverfasser: | , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 874 |
|---|---|
| container_issue | 9 |
| container_start_page | 867 |
| container_title | Molecular psychiatry |
| container_volume | 17 |
| creator | Davis, O S P Haworth, C M A Lewis, C M Plomin, R |
| description | Twin studies allow us to estimate the relative contributions of nature and nurture to human phenotypes by comparing the resemblance of identical and fraternal twins. Variation in complex traits is a balance of genetic and environmental influences; these influences are typically estimated at a population level. However, what if the balance of nature and nurture varies depending on where we grow up? Here we use statistical and visual analysis of geocoded data from over 6700 families to show that genetic and environmental contributions to 45 childhood cognitive and behavioral phenotypes vary geographically in the United Kingdom. This has implications for detecting environmental exposures that may interact with the genetic influences on complex traits, and for the statistical power of samples recruited for genetic association studies. More broadly, our experience demonstrates the potential for collaborative exploratory visualization to act as a
lingua franca
for large-scale interdisciplinary research. |
| doi_str_mv | 10.1038/mp.2012.68 |
| format | Article |
| fullrecord | <record><control><sourceid>gale_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_3427856</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A302113691</galeid><sourcerecordid>A302113691</sourcerecordid><originalsourceid>FETCH-LOGICAL-c572t-3085ea1b9488e330e1421f4f01220a3aaab8d9c3aecb2988ed26da3a6a95eca83</originalsourceid><addsrcrecordid>eNqNkkuL1EAQx4Mo7kMvfgAJiLAoGfudzkVYFnWFBS_qtanpVGZ7Sbpjd7Ky397OzLgP9SB96KLqV68_VRQvKFlRwvW7YVwxQtlK6UfFIRW1qqSs9eNsc9lUgmpxUByldEXIEpRPiwPGlNZUN4fF-XeXZuhL8NDfJJfK0JUbDDa02JbTT-fLFiYox3lKpYdpjpjRtvRz3NrBl9MllgOMz4onHfQJn-__4-Lbxw9fz86riy-fPp-dXlRW1myqONESga4boTVyTpAKRjvR5fkZAQ4Aa902lgPaNWsy0zLVZr-CRqIFzY-L97u647wesLXopwi9GaMbIN6YAM48jHh3aTbh2nDBai1VLnCyLxDDjxnTZAaXLPY9eAxzMoukinIl5f-gUrJaNCyjr_5Ar8Ics6hbSmihJa_vqA30aJzvQh7RLkXNKSeM5rYNzdTqH1R-LQ7OBo-dy_4HCW92CTaGlCJ2t3JQst3HDKNZTsSoRcCX9wW8RX_fRAZe7wFIFvougrcu3XGKEyEakbm3Oy7lkN9gvL_yX21_AVH7z-Q</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1034848537</pqid></control><display><type>article</type><title>Visual analysis of geocoded twin data puts nature and nurture on the map</title><source>MEDLINE</source><source>SpringerLink Journals - AutoHoldings</source><creator>Davis, O S P ; Haworth, C M A ; Lewis, C M ; Plomin, R</creator><creatorcontrib>Davis, O S P ; Haworth, C M A ; Lewis, C M ; Plomin, R</creatorcontrib><description>Twin studies allow us to estimate the relative contributions of nature and nurture to human phenotypes by comparing the resemblance of identical and fraternal twins. Variation in complex traits is a balance of genetic and environmental influences; these influences are typically estimated at a population level. However, what if the balance of nature and nurture varies depending on where we grow up? Here we use statistical and visual analysis of geocoded data from over 6700 families to show that genetic and environmental contributions to 45 childhood cognitive and behavioral phenotypes vary geographically in the United Kingdom. This has implications for detecting environmental exposures that may interact with the genetic influences on complex traits, and for the statistical power of samples recruited for genetic association studies. More broadly, our experience demonstrates the potential for collaborative exploratory visualization to act as a
lingua franca
for large-scale interdisciplinary research.</description><identifier>ISSN: 1359-4184</identifier><identifier>EISSN: 1476-5578</identifier><identifier>DOI: 10.1038/mp.2012.68</identifier><identifier>PMID: 22688189</identifier><language>eng</language><publisher>London: Nature Publishing Group UK</publisher><subject>631/208/726/649 ; 692/700/1720 ; 692/700/478/174 ; Analysis ; Behavior ; Behavioral Sciences ; Biological and medical sciences ; Biological Psychology ; Child ; Children ; Cognitive ability ; Collaboration ; Data processing ; Diseases in Twins - epidemiology ; Diseases in Twins - genetics ; Ecological balance ; Environment. Living conditions ; Environmental factors ; Epidemiology ; Gene-Environment Interaction ; Genetics ; Genomes ; Geographic Mapping ; Humans ; Immediate Communication ; Interdisciplinary research ; Medical sciences ; Medicine ; Medicine & Public Health ; Mental Disorders - epidemiology ; Mental Disorders - genetics ; Models, Statistical ; Natural environment ; Neurosciences ; Pharmacotherapy ; Population levels ; Psychiatry ; Psychology. Psychoanalysis. Psychiatry ; Psychopathology. Psychiatry ; Public health. Hygiene ; Public health. Hygiene-occupational medicine ; Statistics ; Structural equation modeling ; Twin studies ; Twin Studies as Topic - statistics & numerical data ; Twins ; United Kingdom - epidemiology</subject><ispartof>Molecular psychiatry, 2012-09, Vol.17 (9), p.867-874</ispartof><rights>The Author(s) 2012</rights><rights>2015 INIST-CNRS</rights><rights>COPYRIGHT 2012 Nature Publishing Group</rights><rights>Copyright Nature Publishing Group Sep 2012</rights><rights>Copyright © 2012 Macmillan Publishers Limited 2012 Macmillan Publishers Limited</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c572t-3085ea1b9488e330e1421f4f01220a3aaab8d9c3aecb2988ed26da3a6a95eca83</citedby><cites>FETCH-LOGICAL-c572t-3085ea1b9488e330e1421f4f01220a3aaab8d9c3aecb2988ed26da3a6a95eca83</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1038/mp.2012.68$$EPDF$$P50$$Gspringer$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1038/mp.2012.68$$EHTML$$P50$$Gspringer$$Hfree_for_read</linktohtml><link.rule.ids>230,314,776,780,881,27901,27902,41464,42533,51294</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=26304494$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/22688189$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Davis, O S P</creatorcontrib><creatorcontrib>Haworth, C M A</creatorcontrib><creatorcontrib>Lewis, C M</creatorcontrib><creatorcontrib>Plomin, R</creatorcontrib><title>Visual analysis of geocoded twin data puts nature and nurture on the map</title><title>Molecular psychiatry</title><addtitle>Mol Psychiatry</addtitle><addtitle>Mol Psychiatry</addtitle><description>Twin studies allow us to estimate the relative contributions of nature and nurture to human phenotypes by comparing the resemblance of identical and fraternal twins. Variation in complex traits is a balance of genetic and environmental influences; these influences are typically estimated at a population level. However, what if the balance of nature and nurture varies depending on where we grow up? Here we use statistical and visual analysis of geocoded data from over 6700 families to show that genetic and environmental contributions to 45 childhood cognitive and behavioral phenotypes vary geographically in the United Kingdom. This has implications for detecting environmental exposures that may interact with the genetic influences on complex traits, and for the statistical power of samples recruited for genetic association studies. More broadly, our experience demonstrates the potential for collaborative exploratory visualization to act as a
lingua franca
for large-scale interdisciplinary research.</description><subject>631/208/726/649</subject><subject>692/700/1720</subject><subject>692/700/478/174</subject><subject>Analysis</subject><subject>Behavior</subject><subject>Behavioral Sciences</subject><subject>Biological and medical sciences</subject><subject>Biological Psychology</subject><subject>Child</subject><subject>Children</subject><subject>Cognitive ability</subject><subject>Collaboration</subject><subject>Data processing</subject><subject>Diseases in Twins - epidemiology</subject><subject>Diseases in Twins - genetics</subject><subject>Ecological balance</subject><subject>Environment. Living conditions</subject><subject>Environmental factors</subject><subject>Epidemiology</subject><subject>Gene-Environment Interaction</subject><subject>Genetics</subject><subject>Genomes</subject><subject>Geographic Mapping</subject><subject>Humans</subject><subject>Immediate Communication</subject><subject>Interdisciplinary research</subject><subject>Medical sciences</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Mental Disorders - epidemiology</subject><subject>Mental Disorders - genetics</subject><subject>Models, Statistical</subject><subject>Natural environment</subject><subject>Neurosciences</subject><subject>Pharmacotherapy</subject><subject>Population levels</subject><subject>Psychiatry</subject><subject>Psychology. Psychoanalysis. Psychiatry</subject><subject>Psychopathology. Psychiatry</subject><subject>Public health. Hygiene</subject><subject>Public health. Hygiene-occupational medicine</subject><subject>Statistics</subject><subject>Structural equation modeling</subject><subject>Twin studies</subject><subject>Twin Studies as Topic - statistics & numerical data</subject><subject>Twins</subject><subject>United Kingdom - epidemiology</subject><issn>1359-4184</issn><issn>1476-5578</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2012</creationdate><recordtype>article</recordtype><sourceid>C6C</sourceid><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><recordid>eNqNkkuL1EAQx4Mo7kMvfgAJiLAoGfudzkVYFnWFBS_qtanpVGZ7Sbpjd7Ky397OzLgP9SB96KLqV68_VRQvKFlRwvW7YVwxQtlK6UfFIRW1qqSs9eNsc9lUgmpxUByldEXIEpRPiwPGlNZUN4fF-XeXZuhL8NDfJJfK0JUbDDa02JbTT-fLFiYox3lKpYdpjpjRtvRz3NrBl9MllgOMz4onHfQJn-__4-Lbxw9fz86riy-fPp-dXlRW1myqONESga4boTVyTpAKRjvR5fkZAQ4Aa902lgPaNWsy0zLVZr-CRqIFzY-L97u647wesLXopwi9GaMbIN6YAM48jHh3aTbh2nDBai1VLnCyLxDDjxnTZAaXLPY9eAxzMoukinIl5f-gUrJaNCyjr_5Ar8Ics6hbSmihJa_vqA30aJzvQh7RLkXNKSeM5rYNzdTqH1R-LQ7OBo-dy_4HCW92CTaGlCJ2t3JQst3HDKNZTsSoRcCX9wW8RX_fRAZe7wFIFvougrcu3XGKEyEakbm3Oy7lkN9gvL_yX21_AVH7z-Q</recordid><startdate>20120901</startdate><enddate>20120901</enddate><creator>Davis, O S P</creator><creator>Haworth, C M A</creator><creator>Lewis, C M</creator><creator>Plomin, R</creator><general>Nature Publishing Group UK</general><general>Nature Publishing Group</general><scope>C6C</scope><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>3V.</scope><scope>7TK</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>88G</scope><scope>8AO</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>M2M</scope><scope>M7P</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PSYQQ</scope><scope>Q9U</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20120901</creationdate><title>Visual analysis of geocoded twin data puts nature and nurture on the map</title><author>Davis, O S P ; Haworth, C M A ; Lewis, C M ; Plomin, R</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c572t-3085ea1b9488e330e1421f4f01220a3aaab8d9c3aecb2988ed26da3a6a95eca83</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2012</creationdate><topic>631/208/726/649</topic><topic>692/700/1720</topic><topic>692/700/478/174</topic><topic>Analysis</topic><topic>Behavior</topic><topic>Behavioral Sciences</topic><topic>Biological and medical sciences</topic><topic>Biological Psychology</topic><topic>Child</topic><topic>Children</topic><topic>Cognitive ability</topic><topic>Collaboration</topic><topic>Data processing</topic><topic>Diseases in Twins - epidemiology</topic><topic>Diseases in Twins - genetics</topic><topic>Ecological balance</topic><topic>Environment. Living conditions</topic><topic>Environmental factors</topic><topic>Epidemiology</topic><topic>Gene-Environment Interaction</topic><topic>Genetics</topic><topic>Genomes</topic><topic>Geographic Mapping</topic><topic>Humans</topic><topic>Immediate Communication</topic><topic>Interdisciplinary research</topic><topic>Medical sciences</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Mental Disorders - epidemiology</topic><topic>Mental Disorders - genetics</topic><topic>Models, Statistical</topic><topic>Natural environment</topic><topic>Neurosciences</topic><topic>Pharmacotherapy</topic><topic>Population levels</topic><topic>Psychiatry</topic><topic>Psychology. Psychoanalysis. Psychiatry</topic><topic>Psychopathology. Psychiatry</topic><topic>Public health. Hygiene</topic><topic>Public health. Hygiene-occupational medicine</topic><topic>Statistics</topic><topic>Structural equation modeling</topic><topic>Twin studies</topic><topic>Twin Studies as Topic - statistics & numerical data</topic><topic>Twins</topic><topic>United Kingdom - epidemiology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Davis, O S P</creatorcontrib><creatorcontrib>Haworth, C M A</creatorcontrib><creatorcontrib>Lewis, C M</creatorcontrib><creatorcontrib>Plomin, R</creatorcontrib><collection>Springer Nature OA Free Journals</collection><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>ProQuest Central (Corporate)</collection><collection>Neurosciences Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Psychology Database (Alumni)</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>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>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>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>ProQuest Psychology</collection><collection>Biological 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 One Psychology</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Molecular psychiatry</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Davis, O S P</au><au>Haworth, C M A</au><au>Lewis, C M</au><au>Plomin, R</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Visual analysis of geocoded twin data puts nature and nurture on the map</atitle><jtitle>Molecular psychiatry</jtitle><stitle>Mol Psychiatry</stitle><addtitle>Mol Psychiatry</addtitle><date>2012-09-01</date><risdate>2012</risdate><volume>17</volume><issue>9</issue><spage>867</spage><epage>874</epage><pages>867-874</pages><issn>1359-4184</issn><eissn>1476-5578</eissn><abstract>Twin studies allow us to estimate the relative contributions of nature and nurture to human phenotypes by comparing the resemblance of identical and fraternal twins. Variation in complex traits is a balance of genetic and environmental influences; these influences are typically estimated at a population level. However, what if the balance of nature and nurture varies depending on where we grow up? Here we use statistical and visual analysis of geocoded data from over 6700 families to show that genetic and environmental contributions to 45 childhood cognitive and behavioral phenotypes vary geographically in the United Kingdom. This has implications for detecting environmental exposures that may interact with the genetic influences on complex traits, and for the statistical power of samples recruited for genetic association studies. More broadly, our experience demonstrates the potential for collaborative exploratory visualization to act as a
lingua franca
for large-scale interdisciplinary research.</abstract><cop>London</cop><pub>Nature Publishing Group UK</pub><pmid>22688189</pmid><doi>10.1038/mp.2012.68</doi><tpages>8</tpages><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1359-4184 |
| ispartof | Molecular psychiatry, 2012-09, Vol.17 (9), p.867-874 |
| issn | 1359-4184 1476-5578 |
| language | eng |
| recordid | cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_3427856 |
| source | MEDLINE; SpringerLink Journals - AutoHoldings |
| subjects | 631/208/726/649 692/700/1720 692/700/478/174 Analysis Behavior Behavioral Sciences Biological and medical sciences Biological Psychology Child Children Cognitive ability Collaboration Data processing Diseases in Twins - epidemiology Diseases in Twins - genetics Ecological balance Environment. Living conditions Environmental factors Epidemiology Gene-Environment Interaction Genetics Genomes Geographic Mapping Humans Immediate Communication Interdisciplinary research Medical sciences Medicine Medicine & Public Health Mental Disorders - epidemiology Mental Disorders - genetics Models, Statistical Natural environment Neurosciences Pharmacotherapy Population levels Psychiatry Psychology. Psychoanalysis. Psychiatry Psychopathology. Psychiatry Public health. Hygiene Public health. Hygiene-occupational medicine Statistics Structural equation modeling Twin studies Twin Studies as Topic - statistics & numerical data Twins United Kingdom - epidemiology |
| title | Visual analysis of geocoded twin data puts nature and nurture on the map |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-06T12%3A33%3A00IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Visual%20analysis%20of%20geocoded%20twin%20data%20puts%20nature%20and%20nurture%20on%20the%20map&rft.jtitle=Molecular%20psychiatry&rft.au=Davis,%20O%20S%20P&rft.date=2012-09-01&rft.volume=17&rft.issue=9&rft.spage=867&rft.epage=874&rft.pages=867-874&rft.issn=1359-4184&rft.eissn=1476-5578&rft_id=info:doi/10.1038/mp.2012.68&rft_dat=%3Cgale_pubme%3EA302113691%3C/gale_pubme%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1034848537&rft_id=info:pmid/22688189&rft_galeid=A302113691&rfr_iscdi=true |