2024
Autoimmune Diseases and Risk of Non‐Hodgkin Lymphoma: A Mendelian Randomisation Study
Shi X, Wallach J, Ma X, Rogne T. Autoimmune Diseases and Risk of Non‐Hodgkin Lymphoma: A Mendelian Randomisation Study. Cancer Medicine 2024, 13: e70327. PMID: 39506244, PMCID: PMC11540836, DOI: 10.1002/cam4.70327.Peer-Reviewed Original ResearchConceptsRisk of non-Hodgkin lymphomaNon-Hodgkin's lymphomaAutoimmune diseasesMendelian randomisationType 1 diabetesAssociated with risk of non-Hodgkin lymphomaWeak instrument biasNon-Hodgkin lymphoma subtypesTwo-sample MRNon-Hodgkin lymphoma riskRisk factorsSusceptibility to type 1 diabetesMendelian randomisation studiesCohorts of European ancestryAssociated with riskNo significant associationPotential pleiotropyPotential risk factorsUK BiobankFinnGen studyNon-HodgkinHaematological malignanciesRandomised studyEuropean ancestrySignificant associationMediating Factors in the Association of Maternal Educational Level With Pregnancy Outcomes
Rogne T, Gill D, Liew Z, Shi X, Stensrud V, Nilsen T, Burgess S. Mediating Factors in the Association of Maternal Educational Level With Pregnancy Outcomes. JAMA Network Open 2024, 7: e2351166. PMID: 38206626, PMCID: PMC10784860, DOI: 10.1001/jamanetworkopen.2023.51166.Peer-Reviewed Original ResearchMeSH KeywordsBirth WeightCholesterolCohort StudiesDiabetes Mellitus, Type 2Educational StatusFemaleGenome-Wide Association StudyHumansHyperemesis GravidarumInfant, NewbornLipoproteins, HDLMediation AnalysisMendelian Randomization AnalysisPre-EclampsiaPregnancyPregnancy OutcomePregnancy, EctopicPremature BirthConceptsCardiometabolic risk factorsBody mass indexOffspring birth weightEducational attainmentMendelian randomizationHigh-density lipoprotein cholesterol levelsSystolic blood pressureInverse variance-weighted methodModifiable cardiometabolic risk factorsPregnancy outcomesCohort studyLipoprotein cholesterol levelsMR-Egger regressionMass indexUnivariable MR analysisEffects of educational attainmentAssociated with increased risk of adverse pregnancy outcomesPublic health interventionsMaternal education levelLower educational attainmentRisk factorsRisk of adverse pregnancy outcomesGenome-wide association studiesAssociated with increased riskBirth weight
2023
Dyslipidemia and Risk of Preeclampsia: A Multiancestry Mendelian Randomization Study
Hosier H, Lipkind H, Rasheed H, DeWan A, Rogne T. Dyslipidemia and Risk of Preeclampsia: A Multiancestry Mendelian Randomization Study. Hypertension 2023, 80: 1067-1076. PMID: 36883459, DOI: 10.1161/hypertensionaha.122.20426.Peer-Reviewed Original ResearchConceptsRisk of preeclampsiaProtective effectCholesteryl Ester Transfer Protein InhibitionLack of effectMendelian randomization studyMendelian randomization analysisMaternal morbidityElevated HDLLeading causeLipid levelsObservational studyPreeclampsiaLipid measurementsReduced riskAncestry groupsPharmacological targetsRandomization studyHDLLDLRandomization analysisSingle nucleotide polymorphismsNew targetsDyslipidemiaRiskProtein inhibitionSex‐Specific Reproductive Factors Augment Cardiovascular Disease Risk in Women: A Mendelian Randomization Study
Ardissino M, Slob E, Carter P, Rogne T, Girling J, Burgess S, Ng F. Sex‐Specific Reproductive Factors Augment Cardiovascular Disease Risk in Women: A Mendelian Randomization Study. Journal Of The American Heart Association 2023, 12: e027933. PMID: 36846989, PMCID: PMC10111460, DOI: 10.1161/jaha.122.027933.Peer-Reviewed Original ResearchConceptsCoronary artery diseaseBody mass indexHeart failureCardiovascular diseaseReproductive factorsArtery diseaseIschemic strokeMass indexAtrial fibrillationLive birthsFirst birthCardiovascular disease riskType 2 diabetesBackground Observational studiesMendelian randomizationMendelian randomization studyModifiable mediatorsBlood pressureResidual confoundingObservational studyPrimary analysisRandomization studyDisease riskStrokeClinical interventions
2022
Iron status and the risk of sepsis and severe COVID-19: a two-sample Mendelian randomization study
Mohus RM, Flatby H, Liyanarachi KV, DeWan AT, Solligård E, Damås JK, Åsvold BO, Gustad LT, Rogne T. Iron status and the risk of sepsis and severe COVID-19: a two-sample Mendelian randomization study. Scientific Reports 2022, 12: 16157. PMID: 36171422, PMCID: PMC9516524, DOI: 10.1038/s41598-022-20679-6.Peer-Reviewed Original ResearchMeSH KeywordsBiomarkersCOVID-19FemaleFerritinsGenome-Wide Association StudyHumansIronMaleMendelian Randomization AnalysisPolymorphism, Single NucleotideSepsisTransferrinConceptsRisk of sepsisTwo-sample Mendelian randomization studyIron statusMendelian randomization studySerum ironOdds ratioCOVID-19Randomization studyTotal iron binding capacitySevere COVID-19Risk of hospitalizationHigh iron statusIron binding capacitySex-stratified analysesTransferrin saturationSevere infectionsIron biomarkersObservational studyHigh riskSepsisStandard deviation increaseHospitalizationFurther studiesRiskStatusModifiable risk factors for ectopic pregnancy: a Mendelian randomization study
Rogne T, Liew Z, Hernáez Á, Brumpton BM, Magnus MC. Modifiable risk factors for ectopic pregnancy: a Mendelian randomization study. American Journal Of Obstetrics And Gynecology 2022, 227: 339-341.e4. PMID: 35390318, DOI: 10.1016/j.ajog.2022.03.063.Peer-Reviewed Original ResearchFemaleGenome-Wide Association StudyHumansMendelian Randomization AnalysisPregnancyPregnancy, EctopicRisk Factors
2021
Risk of lower respiratory tract infections: a genome-wide association study with Mendelian randomization analysis in three independent European populations
Flatby HM, Rasheed H, Ravi A, Thomas LF, Liyanarachi KV, Afset JE, DeWan AT, Brumpton BM, Hveem K, Åsvold BO, Simonsen GS, Furberg AS, Damås JK, Solligård E, Rogne T. Risk of lower respiratory tract infections: a genome-wide association study with Mendelian randomization analysis in three independent European populations. Clinical Microbiology And Infection 2021, 28: 732.e1-732.e7. PMID: 34763054, DOI: 10.1016/j.cmi.2021.11.004.Peer-Reviewed Original ResearchMeSH KeywordsBody Mass IndexGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansMendelian Randomization AnalysisRespiratory Tract InfectionsConceptsLower respiratory tract infectionsRespiratory tract infectionsMendelian randomization analysisTract infectionsRisk factorsRisk of LRTICardiometabolic risk factorsSystolic blood pressureTrøndelag Health StudyPrevalence of smokingRandomization analysisBody mass indexCause of morbidityPotential risk factorsBlood pressureMass indexSuch hospitalizationsDisease burdenProtective effectHealth StudyIndependent European populationsLifetime smokingGenome-wide association studiesGenetic susceptibilitySmokingSARS-CoV-2 susceptibility and COVID-19 disease severity are associated with genetic variants affecting gene expression in a variety of tissues
D’Antonio M, Nguyen J, Arthur T, Matsui H, Neale B, Daly M, Ganna A, Stevens C, Pathak G, Andrews S, Kanai M, Cordioli M, Ganna A, Karjalainen J, Pathak G, Polimanti R, Andrews S, Cordioli M, Pirinen M, Kanai M, Harerimana N, Veerapen K, Wolford B, Nguyen H, Solomonson M, Stevens C, Liao R, Chwialkowska K, Trankiem A, Balaconis M, Hayward C, Richmond A, Campbell A, Morris M, Fawns-Ritchie C, Glessner J, Shaw D, Chang X, Polikowski H, Lauren E, Chen H, Wanying Z, Hakonarson H, Porteous D, Below J, North K, McCormick J, Timmers P, Wilson J, Tenesa A, D’Mellow K, Kerr S, Niemi M, Cordioli M, Nkambul L, von Hohenstaufen K, Sobh A, Eltoukhy M, Yassen A, Hegazy M, Okasha K, Eid M, Moahmed H, Shahin D, El-Sherbiny Y, Elhadidy T, Elghafar M, El-Jawhari J, Mohamed A, Elnagdy M, Samir A, Abdel-Aziz M, Khafaga W, El-Lawaty W, Torky M, El-shanshory M, Batini C, Lee P, Shrine N, Williams A, Tobin M, Guyatt A, John C, Packer R, Ali A, Free R, Wang X, Wain L, Hollox E, Venn L, Bee C, Adams E, Niemi M, Niavarani A, Cordioli M, Nkambul L, Sharififard B, Aliannejad R, Amirsavadkouhi A, Naderpour Z, Tadi H, Aleagha A, Ahmadi S, Moghaddam S, Adamsara A, Saeedi M, Abdollahi H, Hosseini A, Chariyavilaskul P, Chamnanphon M, Suttichet T, Shotelersuk V, Pongpanich M, Phokaew C, Chetruengchai W, Jantarabenjakul W, Putchareon O, Torvorapanit P, Puthanakit T, Suchartlikitwong P, Hirankarn N, Nilaratanakul V, Sodsai P, Brumpton B, Hveem K, Willer C, Wolford B, Zhou W, Rogne T, Solligard E, Åsvold B, Abedalthagafi M, Alaamery M, Alqahtani S, Baraka D, Al Harthi F, Alsolm E, Abu Safieh L, Alowayn A, Alqubaishi F, Al Mutairi A, Mangul S, Alshareef A, Sawaji M, Almutairi M, Aljawini N, Albesher N, Arabi Y, Mahmoud E, Khattab A, Halawani R, Alahmadey Z, Albakri J, Felemban W, Suliman B, Hasanato R, Al-Awdah L, Alghamdi J, AlZahrani D, AlJohani S, Al-Afghani H, Alrashed M, AlDhawi N, AlBardis H, Alkwai S, Alswailm M, Almalki F, Albeladi M, Almohammed I, Barhoush E, Albader A, Massadeh S, AlMalik A, Alotaibi S, Alghamdi B, Jung J, Fawzy M, Lee Y, Magnus P, Trogstad L, Helgeland Ø, Harris J, Mangino M, Spector T, Emma D, Smieszek S, Przychodzen B, Polymeropoulos C, Polymeropoulos V, Polymeropoulos M, Fernandez-Cadenas I, Perez-Tur J, Llucià-Carol L, Cullell N, Muiño E, Cárcel-Márquez J, DeDiego M, Iglesias L, Planas A, Soriano A, Rico V, Agüero D, Bedini J, Lozano F, Domingo C, Robles V, Ruiz-Jaén F, Márquez L, Gomez J, Coto E, Albaiceta G, García-Clemente M, Dalmau D, Arranz M, Dietl B, Serra-Llovich A, Soler P, Colobrán R, Martín-Nalda A, Martínez A, Bernardo D, Rojo S, Fiz-López A, Arribas E, de la Cal-Sabater P, Segura T, González-Villa E, Serrano-Heras G, Martí-Fàbregas J, Jiménez-Xarrié E, de Felipe Mimbrera A, Masjuan J, García-Madrona S, Domínguez-Mayoral A, Villalonga J, Menéndez-Valladares P, Chasman D, Buring J, Ridker P, Franco G, Sesso H, Manson J, Chang X, Glessner J, Hakonarson H, Hayward C, Richmond A, Porteous D, Campbell A, Fawns-Ritchie C, Medina-Gomez C, Uitterlinden A, Ikram M, Kristiansson K, Koskelainen S, Perola M, Donner K, Kivinen K, Palotie A, Ripatti S, Ruotsalainen S, Kaunisto M, FinnGen, Nakanishi T, Butler-Laporte G, Forgetta V, Morrison D, Ghosh B, Laurent L, Belisle A, Henry D, Abdullah T, Adeleye O, Mamlouk N, Kimchi N, Afrasiabi Z, Vulesevic N, Bouab M, Guzman C, Petitjean L, Tselios C, Xue X, Schurr E, Afilalo J, Afilalo M, Oliveira M, Brenner B, Lepage P, Ragoussis J, Auld D, Brassard N, Durand M, Chassé M, Kaufmann D, Lathrop G, Mooser V, Richards J, Li R, Adra D, Rahmouni S, Georges M, Moutschen M, Misset B, Darcis G, Guiot J, Guntz J, Azarzar S, Gofflot S, Beguin Y, Claassen S, Malaise O, Huynen P, Meuris C, Thys M, Jacques J, Léonard P, Frippiat F, Giot J, Sauvage A, Von Frenckell C, Belhaj Y, Lambermont B, Niemi M, Cordioli M, Pigazzini S, Nkambule L, Daya M, Shortt J, Rafaels N, Wicks S, Crooks K, Barnes K, Gignoux C, Chavan S, Laisk T, Läll K, Lepamets M, Mägi R, Esko T, Reimann E, Milani L, Alavere H, Metsalu K, Puusepp M, Metspalu A, Naaber P, Laane E, Pesukova J, Peterson P, Kisand K, Tabri J, Allos R, Hensen K, Starkopf J, Ringmets I, Tamm A, Kallaste A, Bochud P, Rivolta C, Bibert S, Quinodoz M, Kamdar D, Boillat N, Nussle S, Albrich W, Suh N, Neofytos D, Erard V, Voide C, FHoGID, RegCOVID, P-PredictUs, SeroCOVID, CRiPSI, de Cid R, Galván-Femenía I, Blay N, Carreras A, Cortés B, Farré X, Sumoy L, Moreno V, Mercader J, Guindo-Martinez M, Torrents D, Kogevinas M, Garcia-Aymerich J, Castaño-Vinyals G, Dobaño C, Renieri A, Mari F, Fallerini C, Daga S, Benetti E, Baldassarri M, Fava F, Frullanti E, Valentino F, Doddato G, Giliberti A, Tita R, Amitrano S, Bruttini M, Croci S, Meloni I, Mencarelli M, Rizzo C, Pinto A, Beligni G, Tommasi A, Di Sarno L, Palmieri M, Carriero M, Alaverdian D, Busani S, Bruno R, Vecchia M, Belli M, Picchiotti N, Sanarico M, Gori M, Furini S, Mantovani S, Ludovisi S, Mondelli M, Castelli F, Quiros-Roldan E, Degli Antoni M, Zanella I, Vaghi M, Rusconi S, Siano M, Montagnani F, Emiliozzi A, Fabbiani M, Rossetti B, Bargagli E, Bergantini L, D’Alessandro M, Cameli P, Bennett D, Anedda F, Marcantonio S, Scolletta S, Franchi F, Mazzei M, Guerrini S, Conticini E, Cantarini L, Frediani B, Tacconi D, Spertilli C, Feri M, Donati A, Scala R, Guidelli L, Spargi G, Corridi M, Nencioni C, Croci L, Bandini M, Caldarelli G, Piacentini P, Desanctis E, Cappelli S, Canaccini A, Verzuri A, Anemoli V, Ognibene A, Pancrazzi A, Lorubbio M, Monforte A, Miraglia F, Girardis M, Venturelli S, Cossarizza A, Antinori A, Vergori A, Gabrieli A, Riva A, Francisci D, Schiaroli E, Paciosi F, Scotton P, Andretta F, Panese S, Scaggiante R, Gatti F, Parisi S, Baratti S, Della Monica M, Piscopo C, Capasso M, Russo R, Andolfo I, Iolascon A, Fiorentino G, Carella M, Castori M, Merla G, Squeo G, Aucella F, Raggi P, Marciano C, Perna R, Bassetti M, Di Biagio A, Sanguinetti M, Masucci L, Valente S, Mandalà M, Giorli A, Salerni L, Zucchi P, Parravicini P, Menatti E, Trotta T, Giannattasio F, Coiro G, Lena F, Coviello D, Mussini C, Martinelli E, Mancarella S, Tavecchia L, Crotti L, Gabbi C, Rizzi M, Maggiolo F, Ripamonti D, Bachetti T, La Rovere M, Sarzi-Braga S, Bussotti M, Ceri S, Pinoli P, Raimondi F, Biscarini F, Stella A, Zguro K, Capitani K, Suardi C, Niemi M, Cordioli M, Pigazzini S, Dei S, Parati G, Ravaglia S, Artuso R, Cordioli M, Pigazzini S, Nkambule L, Bottà G, Di Domenico P, Rancan I, Bianchi A, Romani D, Bergomi P, Catena E, Colombo R, Tanfoni M, Vincenti A, Ferri C, Grassi D, Pessina G, Tumbarello M, Di Pietro M, Sabrina R, Luchi S, Barbieri C, Acquilini D, Andreucci E, Paciosi F, Segala F, Tiseo G, Falcone M, Lista M, Poscente M, De Vivo O, Petrocelli P, Guarnaccia A, Baroni S, Smith A, Boughton A, Li K, LeFaive J, Annis A, Justice A, Mirshahi T, Chittoor G, Josyula N, Kosmicki J, Ferreira M, Leader J, Carey D, Gass M, Horowitz J, Cantor M, Yadav A, Baras A, Abecasis G, van Heel D, Hunt K, Mason D, Huang Q, Finer S, Team G, Trivedi B, Griffiths C, Martin H, Wright J, Trembath R, Soranzo N, Zhao J, Butterworth A, Danesh J, Di Angelantonio E, Boezen L, Deelen P, Claringbould A, Lopera E, Warmerdam R, Vonk J, van Blokland I, Lanting P, Ori A, Zöllner B, Wang J, Beck A, Peloso G, Ho Y, Sun Y, Huffman J, O’Donnell C, Cho K, Tsao P, Gaziano J, Nivard M, de geus E, Bartels M, Hottenga J, Weiss S, Karlson E, Smoller J, Green R, Feng Y, Mercader J, Murphy S, Meigs J, Woolley A, Perez E, Rader D, Verma A, Ritchie M, Li B, Verma S, Lucas A, Bradford Y, Zeberg H, Frithiof R, Hultström M, Niemi M, Cordioli M, Pigazzini S, Lipcsey M, Nkambul L, Tardif N, Rooyackers O, Grip J, Maricic T, Nakanishi T, Butler-Laporte G, Forgetta V, Richards J, Karczewski K, Atkinson E, Kanai M, Tsuo K, Baya N, Turley P, Gupta R, Callier S, Walters R, Palmer D, Sarma G, Solomonson M, Cheng N, Lu W, Bryant S, Churchhouse C, Cusick C, Goldstein J, King D, Zhou W, Seed C, Finucane H, Martin A, Bryant S, Satterstrom F, Wilson D, Armstrong J, Rudkin J, Band G, Earle S, Lin S, Arning N, Crook D, Wyllie D, O’Connell A, Spencer C, Koelling N, Caulfield M, Scott R, Fowler T, Moutsianas L, Kousathanas A, Pasko D, Walker S, Rendon A, Stuckey A, Odhams C, Rhodes D, Chan G, Arumugam P, Ball C, Hong E, Rand K, Girshick A, Guturu H, Baltzell A, Roberts G, Park D, Coignet M, McCurdy S, Knight S, Partha R, Rhead B, Zhang M, Berkowitz N, Gaddis M, Noto K, Ruiz L, Pavlovic M, Sloofman L, Andrews S, Charney A, Beckmann N, Schadt E, Jordan D, Thompson R, Gettler K, Abul-Husn N, Ascolillo S, Buxbaum J, Chaudhary K, Cho J, Itan Y, Kenny E, Belbin G, Sealfon S, Sebra R, Salib I, Collins B, Levy T, Britvan B, Keller K, Tang L, Peruggia M, Hiester L, Niblo K, Aksentijevich A, Labkowsky A, Karp A, Zlatopolsky M, Preuss M, Loos R, Nadkarni G, Do R, Hoggart C, Choi S, Underwood S, O’Reilly P, Huckins L, Zyndorf M, D’Antonio-Chronowska A, Frazer K. SARS-CoV-2 susceptibility and COVID-19 disease severity are associated with genetic variants affecting gene expression in a variety of tissues. Cell Reports 2021, 37: 110020. PMID: 34762851, PMCID: PMC8563343, DOI: 10.1016/j.celrep.2021.110020.Peer-Reviewed Original ResearchMeSH KeywordsChromosome MappingComputational BiologyCOVID-19Databases, GeneticEthnicityGene ExpressionGene Expression ProfilingGenetic Predisposition to DiseaseGenetic VariationGenome-Wide Association StudyHumansOrgan SpecificityPolymorphism, Single NucleotideQuantitative Trait LociSARS-CoV-2Severity of Illness IndexTranscriptomeConceptsExpression quantitative trait lociGenome-wide association study signalsTissue/cell typesQuantitative trait lociGenetic fine mappingGene expression levelsLoci colocalizeGenomic lociGWAS lociTrait lociFine mappingVariety of tissuesCausal SNPsGene expressionSNP setsStudy signalsLociCell typesSARS-CoV-2 susceptibilityGenetic variantsSuggestive associationExpression levelsTissue typesSNPsCredible setsGWAS Identifies LINC01184/SLC12A2 as a Risk Locus for Skin and Soft Tissue Infections
Rogne T, Liyanarachi KV, Rasheed H, Thomas LF, Flatby HM, Stenvik J, Løset M, Gill D, Burgess S, Willer CJ, Hveem K, Åsvold BO, Brumpton BM, DeWan AT, Solligård E, Damås JK. GWAS Identifies LINC01184/SLC12A2 as a Risk Locus for Skin and Soft Tissue Infections. Journal Of Investigative Dermatology 2021, 141: 2083-2086.e8. PMID: 33662382, PMCID: PMC7612997, DOI: 10.1016/j.jid.2021.01.020.Peer-Reviewed Original Research
2020
Genome-Wide Linkage Analysis of the Risk of Contracting a Bloodstream Infection in 47 Pedigrees Followed for 23 Years Assembled From a Population-Based Cohort (the HUNT Study).
Rogne T, Damås JK, Solligård E, DeWan AT. Genome-Wide Linkage Analysis of the Risk of Contracting a Bloodstream Infection in 47 Pedigrees Followed for 23 Years Assembled From a Population-Based Cohort (the HUNT Study). Critical Care Medicine 2020, 48: 1580-1586. PMID: 32885941, DOI: 10.1097/ccm.0000000000004520.Peer-Reviewed Original Research
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