Matches in SemOpenAlex for { <https://semopenalex.org/work/W3024224717> ?p ?o ?g. }
- W3024224717 endingPage "112" @default.
- W3024224717 startingPage "104" @default.
- W3024224717 abstract "Increasing access to large-scale genetic datasets in population-based studies allows for genetic association studies as a means to examine previously known and novel relationships among complex traits. In this review, we discuss two widely used approaches to leverage genetic data to study the links between traits: Genome-wide genetic correlation and Mendelian Randomization (MR) studies.Both genetic correlation and MR studies have provided important novel insights. However, although they are less sensitive to many sources of bias present in traditional, observational epidemiology, they still rely on assumptions that in practice might be difficult to assess. To overcome this, development of novel methods less sensitive to these assumptions is an active area of research.We believe that as population-based genetic datasets grow larger and novel methods allowing for weaker forms of current assumptions become available, genetic correlation and MR studies will become an integral part of genetic epidemiology studies." @default.
- W3024224717 created "2020-05-21" @default.
- W3024224717 creator A5013210350 @default.
- W3024224717 creator A5056487867 @default.
- W3024224717 creator A5082344494 @default.
- W3024224717 date "2020-05-16" @default.
- W3024224717 modified "2023-10-16" @default.
- W3024224717 title "The Use of Genetic Correlation and Mendelian Randomization Studies to Increase Our Understanding of Relationships between Complex Traits" @default.
- W3024224717 cites W1905058580 @default.
- W3024224717 cites W2033151532 @default.
- W3024224717 cites W2052518513 @default.
- W3024224717 cites W2098143048 @default.
- W3024224717 cites W2102011776 @default.
- W3024224717 cites W2104549677 @default.
- W3024224717 cites W2113699335 @default.
- W3024224717 cites W2118008714 @default.
- W3024224717 cites W2145813488 @default.
- W3024224717 cites W2153860431 @default.
- W3024224717 cites W2155533485 @default.
- W3024224717 cites W2157752701 @default.
- W3024224717 cites W2169283889 @default.
- W3024224717 cites W2192383868 @default.
- W3024224717 cites W2195783463 @default.
- W3024224717 cites W2272220699 @default.
- W3024224717 cites W2295447825 @default.
- W3024224717 cites W2324862792 @default.
- W3024224717 cites W2325761966 @default.
- W3024224717 cites W2401811918 @default.
- W3024224717 cites W2438256301 @default.
- W3024224717 cites W2514982885 @default.
- W3024224717 cites W2528374605 @default.
- W3024224717 cites W2565199748 @default.
- W3024224717 cites W2593940628 @default.
- W3024224717 cites W2597850678 @default.
- W3024224717 cites W2608920382 @default.
- W3024224717 cites W2723723801 @default.
- W3024224717 cites W2725988230 @default.
- W3024224717 cites W2735339162 @default.
- W3024224717 cites W2758932859 @default.
- W3024224717 cites W2768238915 @default.
- W3024224717 cites W2803072880 @default.
- W3024224717 cites W2804052820 @default.
- W3024224717 cites W2890674638 @default.
- W3024224717 cites W2898585601 @default.
- W3024224717 cites W2914566167 @default.
- W3024224717 cites W2932671560 @default.
- W3024224717 cites W2948487606 @default.
- W3024224717 cites W2950958620 @default.
- W3024224717 cites W2958769689 @default.
- W3024224717 cites W2963192358 @default.
- W3024224717 cites W2965579739 @default.
- W3024224717 cites W2966861845 @default.
- W3024224717 cites W3103615065 @default.
- W3024224717 cites W3110007242 @default.
- W3024224717 cites W4210703904 @default.
- W3024224717 doi "https://doi.org/10.1007/s40471-020-00233-6" @default.
- W3024224717 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/7863746" @default.
- W3024224717 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/33552841" @default.
- W3024224717 hasPublicationYear "2020" @default.
- W3024224717 type Work @default.
- W3024224717 sameAs 3024224717 @default.
- W3024224717 citedByCount "19" @default.
- W3024224717 countsByYear W30242247172021 @default.
- W3024224717 countsByYear W30242247172022 @default.
- W3024224717 countsByYear W30242247172023 @default.
- W3024224717 crossrefType "journal-article" @default.
- W3024224717 hasAuthorship W3024224717A5013210350 @default.
- W3024224717 hasAuthorship W3024224717A5056487867 @default.
- W3024224717 hasAuthorship W3024224717A5082344494 @default.
- W3024224717 hasBestOaLocation W30242247172 @default.
- W3024224717 hasConcept C104317684 @default.
- W3024224717 hasConcept C105795698 @default.
- W3024224717 hasConcept C106208931 @default.
- W3024224717 hasConcept C117220453 @default.
- W3024224717 hasConcept C135763542 @default.
- W3024224717 hasConcept C153209595 @default.
- W3024224717 hasConcept C175783326 @default.
- W3024224717 hasConcept C177860879 @default.
- W3024224717 hasConcept C186413461 @default.
- W3024224717 hasConcept C23131810 @default.
- W3024224717 hasConcept C2524010 @default.
- W3024224717 hasConcept C2779901538 @default.
- W3024224717 hasConcept C2908647359 @default.
- W3024224717 hasConcept C2993807623 @default.
- W3024224717 hasConcept C2993967602 @default.
- W3024224717 hasConcept C33923547 @default.
- W3024224717 hasConcept C54355233 @default.
- W3024224717 hasConcept C68873052 @default.
- W3024224717 hasConcept C70616004 @default.
- W3024224717 hasConcept C70721500 @default.
- W3024224717 hasConcept C71924100 @default.
- W3024224717 hasConcept C78458016 @default.
- W3024224717 hasConcept C86803240 @default.
- W3024224717 hasConcept C99454951 @default.
- W3024224717 hasConceptScore W3024224717C104317684 @default.
- W3024224717 hasConceptScore W3024224717C105795698 @default.
- W3024224717 hasConceptScore W3024224717C106208931 @default.
- W3024224717 hasConceptScore W3024224717C117220453 @default.