ArticleG3 (Bethesda, Md.)2025
Marginal interaction test for detecting interactions between genetic marker sets and environment in genome-wide studies.
Linchuan Shen, Amei Amei, Bowen Liu, Gang Xu, Yunqing Liu, Edwin C Oh, Xin Zhou, Zuoheng Wang
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In one paragraphArticle in G3 (Bethesda, Md.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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4 · The recordCorrections and comments
5 · Who and what moneyAuthors and funding
8 authors.
Linchuan ShenDepartment of Mathematical Sciences, University of Nevada, Las Vegas, Las Vegas, NV 89154, USA.
Amei AmeiDepartment of Mathematical Sciences, University of Nevada, Las Vegas, Las Vegas, NV 89154, USA.ORCID 0000-0003-1045-2345 Bowen LiuDepartment of Mathematical Sciences, University of Nevada, Las Vegas, Las Vegas, NV 89154, USA.ORCID 0000-0002-6918-9871 Gang XuDepartment of Mathematical Sciences, University of Nevada, Las Vegas, Las Vegas, NV 89154, USA.
Yunqing LiuDepartment of Biostatistics, Yale School of Public Health, Yale University, New Haven, CT 06510, USA.
Edwin C OhNevada Institute of Personalized Medicine, University of Nevada, Las Vegas, Las Vegas, NV 89154, USA.
Xin ZhouDepartment of Biostatistics, Yale School of Public Health, Yale University, New Haven, CT 06510, USA.
Zuoheng WangDepartment of Biostatistics, Yale School of Public Health, Yale University, New Haven, CT 06510, USA.ORCID 0000-0002-7251-3687 Funding
Institute for Clinical and Translational ResearchUL1TR001079 · NCATS · JOHNS HOPKINS UNIVERSITY · PI FORD, DANIEL ERNEST · 2013 to 2017
$60.1MWake Forest Clinical and Translational Science AwardUL1TR001420 · NCATS · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI ARD, JAMY D, FOLEY, KRISTIE L · 2015 to 2023
$32.3MClinical and Translational Science AwardUL1TR000040 · NCATS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI GINSBERG, HENRY N · 2012 to 2015
$26.2MTask Area A Core Study Operations.Task Area A shall encompass annual follow-up of cohort members, clinical endpoints ascertainment, study coordination activities, maintenance of the database and biosp75N92020D00001 · NHLBI · UNIVERSITY OF WASHINGTON · PI MCCLELLAND, ROBYN LEAGH · 2020 to 2025
$17.2MTask Area A shall encompass annual follow-up of cohort members, clinical events investigations, study operations, and data analysis and manuscript writing. If implemented, Task A.1 will provide fundin75N92020D00005 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI WATSON, KAROL E · 2020 to 2025
$5.1MTO EXERCISE OPTION PERIOD ONE (1) FOR TASK AREA A - MESA CORE OPERATIONS, FIELD CENTER.75N92020D00004 · NHLBI · NORTHWESTERN UNIVERSITY · PI SIEGEL, JONATHAN H · 2020 to 2025
$4.5MTask Area A shall encompass annual follow-up of cohort members, clinical events investigations, study operations, and data analysis and manuscript writing. If implemented, Task A.1 will provide fundin75N92020D00006 · NHLBI · UNIVERSITY OF MINNESOTA · PI PANKOW, JAMES S · 2020 to 2025
$4.4MTask Area A shall encompass annual follow-up of cohort members, clinical events investigations, study operations, and data analysis and manuscript writing. If implemented, Task A.1 will provide fundin75N92020D00003 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI POST, WENDY S · 2020 to 2025
$3.8MTask Area A shall encompass annual follow-up of cohort members, clinical events investigations, study operations, and data analysis and manuscript writing. If implemented, Task A.1 will provide fundin75N92020D00007 · NHLBI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI BERTONI, ALAIN GERALD · 2020 to 2025
$3.5MTask Area A shall encompass annual follow-up of cohort members, clinical events investigations, study operations, and data analysis and manuscript writing. If implemented, Task A.1 will provide fundin75N92020D00002 · NHLBI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI SHEA, STEVEN J · 2020 to 2025
$3.4MGraph Learning of Cell-cell Communications in Spatial TranscriptomicsR01LM014087 · NLM · YALE UNIVERSITY · PI WANG, ZUOHENG, YAN, XITING · 2022 to 2025
$1.5MNovel Methods for Longitudinal Study of Gene-Environment Interplay in AlcoholismK01AA023321 · NIAAA · YALE UNIVERSITY · PI WANG, ZUOHENG · 2015 to 2019
$863kCOBRE pilot GR13574National Center for Advancing Translational Sciences (NCATS)National Science Foundation DMS1916246NCATS NIH HHS UL1 TR000040NCATS NIH HHS UL1 TR001079NCATS NIH HHS UL1 TR001420NHLBI NIH HHS 75N92020D00001NHLBI NIH HHS 75N92020D00002NHLBI NIH HHS 75N92020D00003NHLBI NIH HHS 75N92020D00004NHLBI NIH HHS 75N92020D00005NHLBI NIH HHS 75N92020D00006NHLBI NIH HHS 75N92020D00007NHLBI NIH HHS HHSN268201500003CNHLBI NIH HHS HHSN268201500003INHLBI NIH HHS N01 HC095159NHLBI NIH HHS N01 HC095160NHLBI NIH HHS N01 HC095161NHLBI NIH HHS N01 HC095162NHLBI NIH HHS N01 HC095163NHLBI NIH HHS N01 HC095164NHLBI NIH HHS N01 HC095165NHLBI NIH HHS N01 HC095166NHLBI NIH HHS N01 HC095167NHLBI NIH HHS N01 HC095168NHLBI NIH HHS N01 HC095169NHLBI NIH HHS UL1-TR-000040NIAAA NIH HHS K01 AA023321NIH HHS K01AA023321NLM NIH HHS R01 LM014087
6 · The paper itselfAbstract
As human complex diseases are influenced by the interaction between genetics and the environment, identifying gene-environment interactions (G×E) is crucial for understanding disease mechanisms and predicting risk. Developing robust quantitative tools for G×E analysis can enhance the study of complex diseases. However, many existing methods that explore G×E focus on the interplay between an environmental factor and genetic variants, exclusively for common or rare variants. In this study, we developed MAGEIT_RAN and MAGEIT_FIX to identify interactions between an environmental factor and a set of genetic markers, including both rare and common variants, based on the MinQue for Summary statistics. The genetic main effects in MAGEIT_RAN and MAGEIT_FIX are modeled as random and fixed effects, respectively. Simulation studies showed that both tests had type I error under control, with MAGEIT_RAN being the most powerful test. Applying MAGEIT to a genome-wide analysis of gene-alcohol interactions on hypertension and seated systolic blood pressure in the Multiethnic Study of Atherosclerosis revealed genes like EIF2AK2, CCNDBP1, and EPB42 influencing blood pressure through alcohol interaction. Pathway analysis identified 1 apoptosis and survival pathway involving PKR and 2 signal transduction pathways associated with hypertension and alcohol intake, demonstrating MAGEIT_RAN's ability to detect biologically relevant gene-environment interactions.
Indexed as
Gene-Environment InteractionGenome-Wide Association StudyBlood PressureComputer SimulationGenetic MarkersHumansHypertensionModels, GeneticPolymorphism, Single NucleotideGenetic Markersgene–environment interactiongenome-wide studymethod of momentsmixed effects model
Identifiers
PMID39538414
PMCPMC11708225
What OpenQuestion holds
Textmetadata
LicenceCC BY
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