No Cover Image

Journal article 1666 views

A national population-based e-cohort of people with psychosis (PsyCymru) linking prospectively ascertained phenotypically rich and genetic data to routinely collected records: Overview, recruitment and linkage

Keith Lloyd Orcid Logo, Joanna McGregor Orcid Logo, Ann John Orcid Logo, Nick Craddock, James T. Walters, David Linden, Ian Jones, Richard Bentall, Ronan Lyons Orcid Logo, David Ford Orcid Logo, Michael J. Owen

Schizophrenia Research, Volume: 166, Issue: 1-3, Pages: 131 - 136

Swansea University Authors: Keith Lloyd Orcid Logo, Joanna McGregor Orcid Logo, Ann John Orcid Logo, Ronan Lyons Orcid Logo, David Ford Orcid Logo

Full text not available from this repository: check for access using links below.

Check full text

DOI (Published version): 10.1016/j.schres.2015.05.036

Abstract

PsyCymru was developed as a proof of concept to investigate the feasibility of linking a prospectively ascertained, well-characterised (linked clinical cohort) of people with psychosis in Wales, UK with large amounts of anonymised routinely collected health record data. We have now additionally link...

Full description

Published in: Schizophrenia Research
ISSN: 0920-9964
Published: Elsevier BV 2015
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa22303
Tags: Add Tag
No Tags, Be the first to tag this record!
first_indexed 2015-07-08T02:12:52Z
last_indexed 2018-02-09T05:00:36Z
id cronfa22303
recordtype SURis
fullrecord <?xml version="1.0"?><rfc1807><datestamp>2016-12-21T16:51:54.9797930</datestamp><bib-version>v2</bib-version><id>22303</id><entry>2015-07-07</entry><title>A national population-based e-cohort of people with psychosis (PsyCymru) linking prospectively ascertained phenotypically rich and genetic data to routinely collected records: Overview, recruitment and linkage</title><swanseaauthors><author><sid>a13aaa0df9045c205e82ed3b95d18c10</sid><ORCID>0000-0002-1440-4124</ORCID><firstname>Keith</firstname><surname>Lloyd</surname><name>Keith Lloyd</name><active>true</active><ethesisStudent>false</ethesisStudent></author><author><sid>caa651da7e3807cbeac8ec2f40643677</sid><ORCID>0000-0003-0242-4600</ORCID><firstname>Joanna</firstname><surname>McGregor</surname><name>Joanna McGregor</name><active>true</active><ethesisStudent>false</ethesisStudent></author><author><sid>ed8a9c37bd7b7235b762d941ef18ee55</sid><ORCID>0000-0002-5657-6995</ORCID><firstname>Ann</firstname><surname>John</surname><name>Ann John</name><active>true</active><ethesisStudent>false</ethesisStudent></author><author><sid>83efcf2a9dfcf8b55586999d3d152ac6</sid><ORCID>0000-0001-5225-000X</ORCID><firstname>Ronan</firstname><surname>Lyons</surname><name>Ronan Lyons</name><active>true</active><ethesisStudent>false</ethesisStudent></author><author><sid>52fc0c473b0da1b7218d87f9fc68a3e6</sid><ORCID>0000-0001-6551-721X</ORCID><firstname>David</firstname><surname>Ford</surname><name>David Ford</name><active>true</active><ethesisStudent>false</ethesisStudent></author></swanseaauthors><date>2015-07-07</date><deptcode>FGMHL</deptcode><abstract>PsyCymru was developed as a proof of concept to investigate the feasibility of linking a prospectively ascertained, well-characterised (linked clinical cohort) of people with psychosis in Wales, UK with large amounts of anonymised routinely collected health record data. We have now additionally linked genetic data. PsyCymru is a research platform and infrastructure for psychosis research in Wales by the establishment of two cohorts. The first is a well characterised clinically-assessed cohort of 490 individuals aged 16 and over, including genetic data. Consented individuals underwent a structured interview using a series of well-validated questionnaires and gave blood for the purpose of DNA extraction for sequencing and candidate gene identification. This data was linked to routinely collected health and social datasets with identity encryption used to protect privacy. The second is a much larger (12,097 individuals) but less well characterised population-based e-cohort of prevalent psychosis cases created using a previously validated algorithm applied to anonymised routine data. Both cohorts can be tracked prospectively and retrospectively using anonymised routinely collected electronic health and administrative data in the Secure Anonymised Information Linkage (SAIL) databank. This unique platform pools data together from multiple sources; linking clinical, psychological, biological, genetic and health care factors to address a wide variety of research questions. This resource will continue to expand over the coming years in size, breadth and depth of data, with continued recruitment and additional measures planned.</abstract><type>Journal Article</type><journal>Schizophrenia Research</journal><volume>166</volume><journalNumber>1-3</journalNumber><paginationStart>131</paginationStart><paginationEnd>136</paginationEnd><publisher>Elsevier BV</publisher><issnPrint>0920-9964</issnPrint><keywords>E-cohort; Health informatics; Routine data, Psychosis, phenotype, genotype</keywords><publishedDay>1</publishedDay><publishedMonth>8</publishedMonth><publishedYear>2015</publishedYear><publishedDate>2015-08-01</publishedDate><doi>10.1016/j.schres.2015.05.036</doi><url/><notes/><college>COLLEGE NANME</college><department>Medicine, Health and Life Science - Faculty</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>FGMHL</DepartmentCode><institution>Swansea University</institution><apcterm/><lastEdited>2016-12-21T16:51:54.9797930</lastEdited><Created>2015-07-07T09:23:41.3300740</Created><path><level id="1">Faculty of Medicine, Health and Life Sciences</level><level id="2">Swansea University Medical School - Medicine</level></path><authors><author><firstname>Keith</firstname><surname>Lloyd</surname><orcid>0000-0002-1440-4124</orcid><order>1</order></author><author><firstname>Joanna</firstname><surname>McGregor</surname><orcid>0000-0003-0242-4600</orcid><order>2</order></author><author><firstname>Ann</firstname><surname>John</surname><orcid>0000-0002-5657-6995</orcid><order>3</order></author><author><firstname>Nick</firstname><surname>Craddock</surname><order>4</order></author><author><firstname>James T.</firstname><surname>Walters</surname><order>5</order></author><author><firstname>David</firstname><surname>Linden</surname><order>6</order></author><author><firstname>Ian</firstname><surname>Jones</surname><order>7</order></author><author><firstname>Richard</firstname><surname>Bentall</surname><order>8</order></author><author><firstname>Ronan</firstname><surname>Lyons</surname><orcid>0000-0001-5225-000X</orcid><order>9</order></author><author><firstname>David</firstname><surname>Ford</surname><orcid>0000-0001-6551-721X</orcid><order>10</order></author><author><firstname>Michael J.</firstname><surname>Owen</surname><order>11</order></author></authors><documents/><OutputDurs/></rfc1807>
spelling 2016-12-21T16:51:54.9797930 v2 22303 2015-07-07 A national population-based e-cohort of people with psychosis (PsyCymru) linking prospectively ascertained phenotypically rich and genetic data to routinely collected records: Overview, recruitment and linkage a13aaa0df9045c205e82ed3b95d18c10 0000-0002-1440-4124 Keith Lloyd Keith Lloyd true false caa651da7e3807cbeac8ec2f40643677 0000-0003-0242-4600 Joanna McGregor Joanna McGregor true false ed8a9c37bd7b7235b762d941ef18ee55 0000-0002-5657-6995 Ann John Ann John true false 83efcf2a9dfcf8b55586999d3d152ac6 0000-0001-5225-000X Ronan Lyons Ronan Lyons true false 52fc0c473b0da1b7218d87f9fc68a3e6 0000-0001-6551-721X David Ford David Ford true false 2015-07-07 FGMHL PsyCymru was developed as a proof of concept to investigate the feasibility of linking a prospectively ascertained, well-characterised (linked clinical cohort) of people with psychosis in Wales, UK with large amounts of anonymised routinely collected health record data. We have now additionally linked genetic data. PsyCymru is a research platform and infrastructure for psychosis research in Wales by the establishment of two cohorts. The first is a well characterised clinically-assessed cohort of 490 individuals aged 16 and over, including genetic data. Consented individuals underwent a structured interview using a series of well-validated questionnaires and gave blood for the purpose of DNA extraction for sequencing and candidate gene identification. This data was linked to routinely collected health and social datasets with identity encryption used to protect privacy. The second is a much larger (12,097 individuals) but less well characterised population-based e-cohort of prevalent psychosis cases created using a previously validated algorithm applied to anonymised routine data. Both cohorts can be tracked prospectively and retrospectively using anonymised routinely collected electronic health and administrative data in the Secure Anonymised Information Linkage (SAIL) databank. This unique platform pools data together from multiple sources; linking clinical, psychological, biological, genetic and health care factors to address a wide variety of research questions. This resource will continue to expand over the coming years in size, breadth and depth of data, with continued recruitment and additional measures planned. Journal Article Schizophrenia Research 166 1-3 131 136 Elsevier BV 0920-9964 E-cohort; Health informatics; Routine data, Psychosis, phenotype, genotype 1 8 2015 2015-08-01 10.1016/j.schres.2015.05.036 COLLEGE NANME Medicine, Health and Life Science - Faculty COLLEGE CODE FGMHL Swansea University 2016-12-21T16:51:54.9797930 2015-07-07T09:23:41.3300740 Faculty of Medicine, Health and Life Sciences Swansea University Medical School - Medicine Keith Lloyd 0000-0002-1440-4124 1 Joanna McGregor 0000-0003-0242-4600 2 Ann John 0000-0002-5657-6995 3 Nick Craddock 4 James T. Walters 5 David Linden 6 Ian Jones 7 Richard Bentall 8 Ronan Lyons 0000-0001-5225-000X 9 David Ford 0000-0001-6551-721X 10 Michael J. Owen 11
title A national population-based e-cohort of people with psychosis (PsyCymru) linking prospectively ascertained phenotypically rich and genetic data to routinely collected records: Overview, recruitment and linkage
spellingShingle A national population-based e-cohort of people with psychosis (PsyCymru) linking prospectively ascertained phenotypically rich and genetic data to routinely collected records: Overview, recruitment and linkage
Keith Lloyd
Joanna McGregor
Ann John
Ronan Lyons
David Ford
title_short A national population-based e-cohort of people with psychosis (PsyCymru) linking prospectively ascertained phenotypically rich and genetic data to routinely collected records: Overview, recruitment and linkage
title_full A national population-based e-cohort of people with psychosis (PsyCymru) linking prospectively ascertained phenotypically rich and genetic data to routinely collected records: Overview, recruitment and linkage
title_fullStr A national population-based e-cohort of people with psychosis (PsyCymru) linking prospectively ascertained phenotypically rich and genetic data to routinely collected records: Overview, recruitment and linkage
title_full_unstemmed A national population-based e-cohort of people with psychosis (PsyCymru) linking prospectively ascertained phenotypically rich and genetic data to routinely collected records: Overview, recruitment and linkage
title_sort A national population-based e-cohort of people with psychosis (PsyCymru) linking prospectively ascertained phenotypically rich and genetic data to routinely collected records: Overview, recruitment and linkage
author_id_str_mv a13aaa0df9045c205e82ed3b95d18c10
caa651da7e3807cbeac8ec2f40643677
ed8a9c37bd7b7235b762d941ef18ee55
83efcf2a9dfcf8b55586999d3d152ac6
52fc0c473b0da1b7218d87f9fc68a3e6
author_id_fullname_str_mv a13aaa0df9045c205e82ed3b95d18c10_***_Keith Lloyd
caa651da7e3807cbeac8ec2f40643677_***_Joanna McGregor
ed8a9c37bd7b7235b762d941ef18ee55_***_Ann John
83efcf2a9dfcf8b55586999d3d152ac6_***_Ronan Lyons
52fc0c473b0da1b7218d87f9fc68a3e6_***_David Ford
author Keith Lloyd
Joanna McGregor
Ann John
Ronan Lyons
David Ford
author2 Keith Lloyd
Joanna McGregor
Ann John
Nick Craddock
James T. Walters
David Linden
Ian Jones
Richard Bentall
Ronan Lyons
David Ford
Michael J. Owen
format Journal article
container_title Schizophrenia Research
container_volume 166
container_issue 1-3
container_start_page 131
publishDate 2015
institution Swansea University
issn 0920-9964
doi_str_mv 10.1016/j.schres.2015.05.036
publisher Elsevier BV
college_str Faculty of Medicine, Health and Life Sciences
hierarchytype
hierarchy_top_id facultyofmedicinehealthandlifesciences
hierarchy_top_title Faculty of Medicine, Health and Life Sciences
hierarchy_parent_id facultyofmedicinehealthandlifesciences
hierarchy_parent_title Faculty of Medicine, Health and Life Sciences
department_str Swansea University Medical School - Medicine{{{_:::_}}}Faculty of Medicine, Health and Life Sciences{{{_:::_}}}Swansea University Medical School - Medicine
document_store_str 0
active_str 0
description PsyCymru was developed as a proof of concept to investigate the feasibility of linking a prospectively ascertained, well-characterised (linked clinical cohort) of people with psychosis in Wales, UK with large amounts of anonymised routinely collected health record data. We have now additionally linked genetic data. PsyCymru is a research platform and infrastructure for psychosis research in Wales by the establishment of two cohorts. The first is a well characterised clinically-assessed cohort of 490 individuals aged 16 and over, including genetic data. Consented individuals underwent a structured interview using a series of well-validated questionnaires and gave blood for the purpose of DNA extraction for sequencing and candidate gene identification. This data was linked to routinely collected health and social datasets with identity encryption used to protect privacy. The second is a much larger (12,097 individuals) but less well characterised population-based e-cohort of prevalent psychosis cases created using a previously validated algorithm applied to anonymised routine data. Both cohorts can be tracked prospectively and retrospectively using anonymised routinely collected electronic health and administrative data in the Secure Anonymised Information Linkage (SAIL) databank. This unique platform pools data together from multiple sources; linking clinical, psychological, biological, genetic and health care factors to address a wide variety of research questions. This resource will continue to expand over the coming years in size, breadth and depth of data, with continued recruitment and additional measures planned.
published_date 2015-08-01T03:26:32Z
_version_ 1763750961881284608
score 11.013148

Similar Items