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Franks","nameType":"Personal","familyName":"Paul W. Franks","affiliation":[{"name":"University of Oxford"},{"name":"Skåne University Hospital"},{"name":"Lund University"},{"name":"Umeå University"},{"name":"Harvard University"},{"name":"Oxford Centre for Diabetes, Endocrinology and Metabolism"}],"nameIdentifiers":[{"nameIdentifier":"0000-0002-0520-7604","nameIdentifierScheme":"ORCID"}]},{"name":"Ayo P. Doumatey","nameType":"Personal","familyName":"Ayo P. Doumatey","affiliation":[{"name":"University of Bristol"},{"name":"Medical Research Council"}],"nameIdentifiers":[{"nameIdentifier":"0000-0001-9494-7710","nameIdentifierScheme":"ORCID"}]}],"titles":[{"title":"Causal analyses, statistical efficiency and phenotypic precision through Recall-by-Genotype study design"},{"lang":"ara","title":"التحليلات السببية والكفاءة الإحصائية والدقة الظاهرية من خلال تصميم دراسة الاستدعاء حسب النمط الجيني","titleType":"TranslatedTitle"},{"lang":"fra","title":"Analyses causales, efficacité statistique et précision phénotypique grâce au plan d'étude Recall-by-Genotype","titleType":"TranslatedTitle"},{"lang":"spa","title":"Análisis causales, eficiencia estadística y precisión fenotípica a través del diseño del estudio Recall-by-Genotype","titleType":"TranslatedTitle"}],"publisher":{"name":"OpenAlex"},"container":{},"publicationYear":2017,"subjects":[{"subject":"Genomic Studies and Association Analyses"},{"subject":"Genetics"},{"subject":"FOS: Biological sciences","schemeUri":"http://www.oecd.org/science/inno/38235147.pdf","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"Biochemistry, Genetics and Molecular Biology"},{"subject":"Life Sciences"},{"subject":"Methods for Causal Inference in Observational Studies"},{"subject":"Statistics and Probability"},{"subject":"Mathematics"},{"subject":"FOS: Mathematics","schemeUri":"http://www.oecd.org/science/inno/38235147.pdf","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"Physical Sciences"},{"subject":"Genomic Selection in Plant and Animal Breeding"},{"subject":"Causal Inference"},{"subject":"Genetic Value Prediction"},{"subject":"Context (archaeology)"},{"subject":"Genetic association"},{"subject":"Causal model"},{"subject":"Computational biology"},{"subject":"Genotype"},{"subject":"Biology"},{"subject":"Recall"},{"subject":"Causal inference"},{"subject":"Genome-wide association study"},{"subject":"Computer science"},{"subject":"Medicine"},{"subject":"Cognitive psychology"},{"subject":"Psychology"},{"subject":"FOS: Psychology","schemeUri":"http://www.oecd.org/science/inno/38235147.pdf","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"Single-nucleotide polymorphism"},{"subject":"Econometrics"},{"subject":"FOS: Economics and business","schemeUri":"http://www.oecd.org/science/inno/38235147.pdf","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"Gene"},{"subject":"Paleontology"},{"subject":"Pathology"}],"contributors":[],"dates":[{"date":"2017-04-12","dateType":"Issued"}],"language":"en","types":{"ris":"RPRT","bibtex":"article","citeproc":"article-journal","schemaOrg":"ScholarlyArticle","resourceType":"","resourceTypeGeneral":"Text"},"relatedIdentifiers":[{"relationType":"IsVersionOf","relatedIdentifier":"10.60692/66c8m-gk174","relatedIdentifierType":"DOI"}],"relatedItems":[],"sizes":[],"formats":[],"version":"v1","rightsList":[{"rights":"cc-by"}],"descriptions":[{"description":"Abstract Genome-wide association studies have been useful in identifying common genetic variants related to a variety of complex traits and diseases; however, they are often limited in their ability to inform about underlying biology. Whilst bioinformatics analyses, studies of cells, animal models and applied genetic epidemiology have provided some understanding of genetic associations or causal pathways, there is a need for new genetic studies that elucidate causal relationships and mechanisms in a cost-effective, precise and statistically efficient fashion. We discuss the motivation for and the characteristics of the Recall-by-Genotype (RbG) study design, an approach that enables genotype-directed deep-phenotyping and improvement in drawing causal inferences. Specifically, we present RbG designs using single and multiple variants and discuss the inferential properties, analytical approaches and applications of both. We consider the efficiency of the RbG approach, the likely value of RbG studies for the causal investigation of disease aetiology and the practicalities of incorporating genotypic data into population studies in the context of the RbG study design. Finally, we provide a catalogue of the UK-based resources for such studies, an online tool to aid the design of new RbG studies and discuss future developments of this approach.","descriptionType":"Abstract"},{"lang":"ara","description":"كانت دراسات الارتباط التجريدي على مستوى الجينوم مفيدة في تحديد المتغيرات الجينية الشائعة المتعلقة بمجموعة متنوعة من السمات والأمراض المعقدة ؛ ومع ذلك، فإنها غالبًا ما تكون محدودة في قدرتها على الإبلاغ عن البيولوجيا الأساسية. في حين أن تحليلات المعلوماتية الحيوية ودراسات الخلايا والنماذج الحيوانية وعلم الأوبئة الوراثي التطبيقي قد وفرت بعض الفهم للارتباطات الوراثية أو المسارات السببية، هناك حاجة إلى دراسات وراثية جديدة توضح العلاقات والآليات السببية بطريقة فعالة من حيث التكلفة ودقيقة وفعالة إحصائياً. نناقش دوافع وخصائص تصميم دراسة الاستدعاء حسب النمط الجيني (RbG)، وهو نهج يمكّن التنميط الظاهري العميق الموجه نحو النمط الجيني والتحسين في استخلاص الاستدلالات السببية. على وجه التحديد، نقدم تصاميم RbG باستخدام متغيرات فردية ومتعددة ونناقش الخصائص الاستنتاجية والنهج التحليلية والتطبيقات لكليهما. نحن نعتبر كفاءة نهج RbG، والقيمة المحتملة لدراسات RbG للتحقيق السببي في مسببات الأمراض والجوانب العملية لدمج بيانات النمط الجيني في الدراسات السكانية في سياق تصميم دراسة RbG. أخيرًا، نقدم فهرسًا للموارد الموجودة في المملكة المتحدة لمثل هذه الدراسات، وهي أداة عبر الإنترنت للمساعدة في تصميم دراسات RbG الجديدة ومناقشة التطورات المستقبلية لهذا النهج.","descriptionType":"Other"},{"lang":"fra","description":"Résumé Les études d'association à l'échelle du génome ont été utiles pour identifier les variantes génétiques courantes liées à une variété de traits et de maladies complexes ; cependant, leur capacité à informer sur la biologie sous-jacente est souvent limitée. Alors que les analyses bioinformatiques, les études de cellules, les modèles animaux et l'épidémiologie génétique appliquée ont fourni une certaine compréhension des associations génétiques ou des voies causales, il est nécessaire de mener de nouvelles études génétiques qui élucident les relations et les mécanismes causaux de manière rentable, précise et statistiquement efficace. Nous discutons de la motivation et des caractéristiques de la conception de l'étude Recall-by-Genotype (RbG), une approche qui permet un phénotypage profond dirigé par le génotype et une amélioration des inférences causales. Plus précisément, nous présentons des conceptions RbG utilisant des variantes simples et multiples et discutons des propriétés inférentielles, des approches analytiques et des applications des deux. Nous considérons l'efficacité de l'approche RbG, la valeur probable des études RbG pour l'investigation causale de l'étiologie de la maladie et les aspects pratiques de l'intégration des données génotypiques dans les études de population dans le contexte du plan d'étude RbG. Enfin, nous fournissons un catalogue des ressources basées au Royaume-Uni pour de telles études, un outil en ligne pour aider à la conception de nouvelles études RbG et discuter des développements futurs de cette approche.","descriptionType":"Other"},{"lang":"spa","description":"Resumen Los estudios de asociación de todo el genoma han sido útiles para identificar variantes genéticas comunes relacionadas con una variedad de rasgos y enfermedades complejas; sin embargo, a menudo tienen una capacidad limitada para informar sobre la biología subyacente. Si bien los análisis bioinformáticos, los estudios de células, los modelos animales y la epidemiología genética aplicada han proporcionado cierta comprensión de las asociaciones genéticas o las vías causales, existe la necesidad de nuevos estudios genéticos que aclaren las relaciones y mecanismos causales de una manera rentable, precisa y estadísticamente eficiente. Discutimos la motivación y las características del diseño del estudio Recall-by-Genotype (RbG), un enfoque que permite la fenotipificación profunda dirigida al genotipo y la mejora en el dibujo de inferencias causales. Específicamente, presentamos diseños de RbG utilizando variantes únicas y múltiples y discutimos las propiedades inferenciales, los enfoques analíticos y las aplicaciones de ambos. Consideramos la eficiencia del enfoque de RbG, el valor probable de los estudios de RbG para la investigación causal de la etiología de la enfermedad y los aspectos prácticos de incorporar datos genotípicos en estudios de población en el contexto del diseño del estudio de RbG. Finalmente, proporcionamos un catálogo de los recursos basados en el Reino Unido para dichos estudios, una herramienta en línea para ayudar al diseño de nuevos estudios de RbG y discutir futuros desarrollos de este enfoque.","descriptionType":"Other"}],"geoLocations":[],"fundingReferences":[],"xml":"<?xml version="1.0" encoding="UTF-8"?>
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      <creatorName nameType="Personal">Tim Frayling</creatorName>
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      <affiliation>British Heart Foundation</affiliation>
      <affiliation>University of Cambridge</affiliation>
      <affiliation>Genomics (United Kingdom)</affiliation>
      <affiliation>Addenbrooke's Hospital</affiliation>
      <affiliation>Wellcome Sanger Institute</affiliation>
    </creator>
    <creator>
      <creatorName nameType="Personal">Paul W. Franks</creatorName>
      <familyName>Paul W. Franks</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="">0000-0002-0520-7604</nameIdentifier>
      <affiliation>University of Oxford</affiliation>
      <affiliation>Skåne University Hospital</affiliation>
      <affiliation>Lund University</affiliation>
      <affiliation>Umeå University</affiliation>
      <affiliation>Harvard University</affiliation>
      <affiliation>Oxford Centre for Diabetes, Endocrinology and Metabolism</affiliation>
    </creator>
    <creator>
      <creatorName nameType="Personal">Ayo P. Doumatey</creatorName>
      <familyName>Ayo P. Doumatey</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="">0000-0001-9494-7710</nameIdentifier>
      <affiliation>University of Bristol</affiliation>
      <affiliation>Medical Research Council</affiliation>
    </creator>
  </creators>
  <titles>
    <title>Causal analyses, statistical efficiency and phenotypic precision through Recall-by-Genotype study design</title>
    <title titleType="TranslatedTitle" xml:lang="ara">التحليلات السببية والكفاءة الإحصائية والدقة الظاهرية من خلال تصميم دراسة الاستدعاء حسب النمط الجيني</title>
    <title titleType="TranslatedTitle" xml:lang="fra">Analyses causales, efficacité statistique et précision phénotypique grâce au plan d'étude Recall-by-Genotype</title>
    <title titleType="TranslatedTitle" xml:lang="spa">Análisis causales, eficiencia estadística y precisión fenotípica a través del diseño del estudio Recall-by-Genotype</title>
  </titles>
  <publisher>OpenAlex</publisher>
  <publicationYear>2017</publicationYear>
  <resourceType resourceTypeGeneral="Text"/>
  <subjects>
    <subject>Genomic Studies and Association Analyses</subject>
    <subject>Genetics</subject>
    <subject>Biochemistry, Genetics and Molecular Biology</subject>
    <subject>Life Sciences</subject>
    <subject>Methods for Causal Inference in Observational Studies</subject>
    <subject>Statistics and Probability</subject>
    <subject>Mathematics</subject>
    <subject>Physical Sciences</subject>
    <subject>Genomic Selection in Plant and Animal Breeding</subject>
    <subject>Causal Inference</subject>
    <subject>Genetic Value Prediction</subject>
    <subject>Context (archaeology)</subject>
    <subject>Genetic association</subject>
    <subject>Causal model</subject>
    <subject>Computational biology</subject>
    <subject>Genotype</subject>
    <subject>Biology</subject>
    <subject>Recall</subject>
    <subject>Causal inference</subject>
    <subject>Genome-wide association study</subject>
    <subject>Computer science</subject>
    <subject>Medicine</subject>
    <subject>Cognitive psychology</subject>
    <subject>Psychology</subject>
    <subject>Single-nucleotide polymorphism</subject>
    <subject>Econometrics</subject>
    <subject>Gene</subject>
    <subject>Paleontology</subject>
    <subject>Pathology</subject>
  </subjects>
  <dates>
    <date dateType="Issued">2017-04-12</date>
  </dates>
  <language>eng</language>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="oai">oai:gresis.org:44wdx-8kd18</alternateIdentifier>
    <alternateIdentifier alternateIdentifierType="Other">https://openalex.org/W2614065049</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.60692/66c8m-gk174</relatedIdentifier>
  </relatedIdentifiers>
  <sizes/>
  <formats/>
  <version>v1</version>
  <rightsList>
    <rights>cc-by</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">Abstract Genome-wide association studies have been useful in identifying common genetic variants related to a variety of complex traits and diseases; however, they are often limited in their ability to inform about underlying biology. Whilst bioinformatics analyses, studies of cells, animal models and applied genetic epidemiology have provided some understanding of genetic associations or causal pathways, there is a need for new genetic studies that elucidate causal relationships and mechanisms in a cost-effective, precise and statistically efficient fashion. We discuss the motivation for and the characteristics of the Recall-by-Genotype (RbG) study design, an approach that enables genotype-directed deep-phenotyping and improvement in drawing causal inferences. Specifically, we present RbG designs using single and multiple variants and discuss the inferential properties, analytical approaches and applications of both. We consider the efficiency of the RbG approach, the likely value of RbG studies for the causal investigation of disease aetiology and the practicalities of incorporating genotypic data into population studies in the context of the RbG study design. Finally, we provide a catalogue of the UK-based resources for such studies, an online tool to aid the design of new RbG studies and discuss future developments of this approach.</description>
    <description xml:lang="ara" descriptionType="Other">كانت دراسات الارتباط التجريدي على مستوى الجينوم مفيدة في تحديد المتغيرات الجينية الشائعة المتعلقة بمجموعة متنوعة من السمات والأمراض المعقدة ؛ ومع ذلك، فإنها غالبًا ما تكون محدودة في قدرتها على الإبلاغ عن البيولوجيا الأساسية. في حين أن تحليلات المعلوماتية الحيوية ودراسات الخلايا والنماذج الحيوانية وعلم الأوبئة الوراثي التطبيقي قد وفرت بعض الفهم للارتباطات الوراثية أو المسارات السببية، هناك حاجة إلى دراسات وراثية جديدة توضح العلاقات والآليات السببية بطريقة فعالة من حيث التكلفة ودقيقة وفعالة إحصائياً. نناقش دوافع وخصائص تصميم دراسة الاستدعاء حسب النمط الجيني (RbG)، وهو نهج يمكّن التنميط الظاهري العميق الموجه نحو النمط الجيني والتحسين في استخلاص الاستدلالات السببية. على وجه التحديد، نقدم تصاميم RbG باستخدام متغيرات فردية ومتعددة ونناقش الخصائص الاستنتاجية والنهج التحليلية والتطبيقات لكليهما. نحن نعتبر كفاءة نهج RbG، والقيمة المحتملة لدراسات RbG للتحقيق السببي في مسببات الأمراض والجوانب العملية لدمج بيانات النمط الجيني في الدراسات السكانية في سياق تصميم دراسة RbG. أخيرًا، نقدم فهرسًا للموارد الموجودة في المملكة المتحدة لمثل هذه الدراسات، وهي أداة عبر الإنترنت للمساعدة في تصميم دراسات RbG الجديدة ومناقشة التطورات المستقبلية لهذا النهج.</description>
    <description xml:lang="fra" descriptionType="Other">Résumé Les études d'association à l'échelle du génome ont été utiles pour identifier les variantes génétiques courantes liées à une variété de traits et de maladies complexes ; cependant, leur capacité à informer sur la biologie sous-jacente est souvent limitée. Alors que les analyses bioinformatiques, les études de cellules, les modèles animaux et l'épidémiologie génétique appliquée ont fourni une certaine compréhension des associations génétiques ou des voies causales, il est nécessaire de mener de nouvelles études génétiques qui élucident les relations et les mécanismes causaux de manière rentable, précise et statistiquement efficace. Nous discutons de la motivation et des caractéristiques de la conception de l'étude Recall-by-Genotype (RbG), une approche qui permet un phénotypage profond dirigé par le génotype et une amélioration des inférences causales. Plus précisément, nous présentons des conceptions RbG utilisant des variantes simples et multiples et discutons des propriétés inférentielles, des approches analytiques et des applications des deux. Nous considérons l'efficacité de l'approche RbG, la valeur probable des études RbG pour l'investigation causale de l'étiologie de la maladie et les aspects pratiques de l'intégration des données génotypiques dans les études de population dans le contexte du plan d'étude RbG. Enfin, nous fournissons un catalogue des ressources basées au Royaume-Uni pour de telles études, un outil en ligne pour aider à la conception de nouvelles études RbG et discuter des développements futurs de cette approche.</description>
    <description xml:lang="spa" descriptionType="Other">Resumen Los estudios de asociación de todo el genoma han sido útiles para identificar variantes genéticas comunes relacionadas con una variedad de rasgos y enfermedades complejas; sin embargo, a menudo tienen una capacidad limitada para informar sobre la biología subyacente. Si bien los análisis bioinformáticos, los estudios de células, los modelos animales y la epidemiología genética aplicada han proporcionado cierta comprensión de las asociaciones genéticas o las vías causales, existe la necesidad de nuevos estudios genéticos que aclaren las relaciones y mecanismos causales de una manera rentable, precisa y estadísticamente eficiente. Discutimos la motivación y las características del diseño del estudio Recall-by-Genotype (RbG), un enfoque que permite la fenotipificación profunda dirigida al genotipo y la mejora en el dibujo de inferencias causales. Específicamente, presentamos diseños de RbG utilizando variantes únicas y múltiples y discutimos las propiedades inferenciales, los enfoques analíticos y las aplicaciones de ambos. Consideramos la eficiencia del enfoque de RbG, el valor probable de los estudios de RbG para la investigación causal de la etiología de la enfermedad y los aspectos prácticos de incorporar datos genotípicos en estudios de población en el contexto del diseño del estudio de RbG. Finalmente, proporcionamos un catálogo de los recursos basados en el Reino Unido para dichos estudios, una herramienta en línea para ayudar al diseño de nuevos estudios de RbG y discutir futuros desarrollos de este enfoque.</description>
  </descriptions>
</resource>
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