FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4309135024> ?p ?o ?g. }

• W4309135024 endingPage "e1010464" @default.
• W4309135024 startingPage "e1010464" @default.
• W4309135024 abstract "The identification and understanding of gene-environment interactions can provide insights into the pathways and mechanisms underlying complex diseases. However, testing for gene-environment interaction remains a challenge since a.) statistical power is often limited and b.) modeling of environmental effects is nontrivial and such model misspecifications can lead to false positive interaction findings. To address the lack of statistical power, recent methods aim to identify interactions on an aggregated level using, for example, polygenic risk scores. While this strategy can increase the power to detect interactions, identifying contributing genes and pathways is difficult based on these relatively global results. Here, we propose RITSS (Robust Interaction Testing using Sample Splitting), a gene-environment interaction testing framework for quantitative traits that is based on sample splitting and robust test statistics. RITSS can incorporate sets of genetic variants and/or multiple environmental factors. Based on the user's choice of statistical/machine learning approaches, a screening step selects and combines potential interactions into scores with improved interpretability. In the testing step, the application of robust statistics minimizes the susceptibility to main effect misspecifications. Using extensive simulation studies, we demonstrate that RITSS controls the type 1 error rate in a wide range of scenarios, and we show how the screening strategy influences statistical power. In an application to lung function phenotypes and human height in the UK Biobank, RITSS identified highly significant interactions based on subcomponents of genetic risk scores. While the contributing single variant interaction signals are weak, our results indicate interaction patterns that result in strong aggregated effects, providing potential insights into underlying gene-environment interaction mechanisms." @default.
• W4309135024 created "2022-11-23" @default.
• W4309135024 creator A5002736890 @default.
• W4309135024 creator A5009391228 @default.
• W4309135024 creator A5016076793 @default.
• W4309135024 creator A5018495347 @default.
• W4309135024 creator A5019016063 @default.
• W4309135024 creator A5021636079 @default.
• W4309135024 creator A5029228127 @default.
• W4309135024 creator A5031722874 @default.
• W4309135024 creator A5035524361 @default.
• W4309135024 creator A5041323870 @default.
• W4309135024 creator A5044442044 @default.
• W4309135024 creator A5051019541 @default.
• W4309135024 creator A5051093934 @default.
• W4309135024 creator A5073763243 @default.
• W4309135024 creator A5080474017 @default.
• W4309135024 creator A5085242587 @default.
• W4309135024 date "2022-11-16" @default.
• W4309135024 modified "2023-10-14" @default.
• W4309135024 title "A robust and adaptive framework for interaction testing in quantitative traits between multiple genetic loci and exposure variables" @default.
• W4309135024 cites W1485436594 @default.
• W4309135024 cites W1597892494 @default.
• W4309135024 cites W1922569994 @default.
• W4309135024 cites W1968228833 @default.
• W4309135024 cites W1971918017 @default.
• W4309135024 cites W1973729826 @default.
• W4309135024 cites W1977636169 @default.
• W4309135024 cites W1979358400 @default.
• W4309135024 cites W1998977949 @default.
• W4309135024 cites W2028197440 @default.
• W4309135024 cites W2057323898 @default.
• W4309135024 cites W2065121069 @default.
• W4309135024 cites W2076107693 @default.
• W4309135024 cites W2103163125 @default.
• W4309135024 cites W2104504285 @default.
• W4309135024 cites W2122047719 @default.
• W4309135024 cites W2132039887 @default.
• W4309135024 cites W2132202948 @default.
• W4309135024 cites W2151288448 @default.
• W4309135024 cites W2154532816 @default.
• W4309135024 cites W2157752701 @default.
• W4309135024 cites W2418811587 @default.
• W4309135024 cites W2495007030 @default.
• W4309135024 cites W2548616668 @default.
• W4309135024 cites W2559028527 @default.
• W4309135024 cites W2734402041 @default.
• W4309135024 cites W2735856318 @default.
• W4309135024 cites W2767404102 @default.
• W4309135024 cites W2783198044 @default.
• W4309135024 cites W2905892128 @default.
• W4309135024 cites W2952635637 @default.
• W4309135024 cites W2952975085 @default.
• W4309135024 cites W2963351303 @default.
• W4309135024 cites W2998425895 @default.
• W4309135024 cites W3007250194 @default.
• W4309135024 cites W3029230785 @default.
• W4309135024 cites W3081552337 @default.
• W4309135024 cites W3082845566 @default.
• W4309135024 cites W3152758353 @default.
• W4309135024 cites W3172604113 @default.
• W4309135024 cites W3198822349 @default.
• W4309135024 cites W3208152686 @default.
• W4309135024 cites W4200002844 @default.
• W4309135024 doi "https://doi.org/10.1371/journal.pgen.1010464" @default.
• W4309135024 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/36383614" @default.
• W4309135024 hasPublicationYear "2022" @default.
• W4309135024 type Work @default.
• W4309135024 citedByCount "0" @default.
• W4309135024 crossrefType "journal-article" @default.
• W4309135024 hasAuthorship W4309135024A5002736890 @default.
• W4309135024 hasAuthorship W4309135024A5009391228 @default.
• W4309135024 hasAuthorship W4309135024A5016076793 @default.
• W4309135024 hasAuthorship W4309135024A5018495347 @default.
• W4309135024 hasAuthorship W4309135024A5019016063 @default.
• W4309135024 hasAuthorship W4309135024A5021636079 @default.
• W4309135024 hasAuthorship W4309135024A5029228127 @default.
• W4309135024 hasAuthorship W4309135024A5031722874 @default.
• W4309135024 hasAuthorship W4309135024A5035524361 @default.
• W4309135024 hasAuthorship W4309135024A5041323870 @default.
• W4309135024 hasAuthorship W4309135024A5044442044 @default.
• W4309135024 hasAuthorship W4309135024A5051019541 @default.
• W4309135024 hasAuthorship W4309135024A5051093934 @default.
• W4309135024 hasAuthorship W4309135024A5073763243 @default.
• W4309135024 hasAuthorship W4309135024A5080474017 @default.
• W4309135024 hasAuthorship W4309135024A5085242587 @default.
• W4309135024 hasBestOaLocation W43091350241 @default.
• W4309135024 hasConcept C104317684 @default.
• W4309135024 hasConcept C105795698 @default.
• W4309135024 hasConcept C116567970 @default.
• W4309135024 hasConcept C116834253 @default.
• W4309135024 hasConcept C119857082 @default.
• W4309135024 hasConcept C129848803 @default.
• W4309135024 hasConcept C130947863 @default.
• W4309135024 hasConcept C135763542 @default.
• W4309135024 hasConcept C183905921 @default.
• W4309135024 hasConcept C18903297 @default.
• W4309135024 hasConcept C193244246 @default.

• next