Featured Publications
Genetic Liability to Posttraumatic Stress Disorder Symptoms and Its Association With Cardiometabolic and Respiratory Outcomes
Pathak G, Singh K, Choi K, Fang Y, Kouakou M, Lee Y, Zhou X, Fritsche L, Wendt F, Davis L, Polimanti R. Genetic Liability to Posttraumatic Stress Disorder Symptoms and Its Association With Cardiometabolic and Respiratory Outcomes. JAMA Psychiatry 2024, 81: 34-44. PMID: 37910111, PMCID: PMC10620678, DOI: 10.1001/jamapsychiatry.2023.4127.Peer-Reviewed Original ResearchConceptsPosttraumatic stress disorderBody mass indexMass General BrighamPTSD symptom severityElectronic health recordsSymptom severityRespiratory outcomesMass indexRisk factorsMedical outcomesHealth outcomesMendelian randomizationDisease categoriesGenetic liabilityMeta-analyzed associationsSignificant medical outcomesNonspecific chest painC-reactive proteinMental health disordersUK BiobankMultivariable Mendelian randomizationPosttraumatic stress disorder (PTSD) symptomsChest painCardiac dysrhythmiasTobacco smokingMultivariate genome-wide analysis of education, socioeconomic status and brain phenome
Wendt FR, Pathak GA, Lencz T, Krystal JH, Gelernter J, Polimanti R. Multivariate genome-wide analysis of education, socioeconomic status and brain phenome. Nature Human Behaviour 2020, 5: 482-496. PMID: 33349686, PMCID: PMC8068566, DOI: 10.1038/s41562-020-00980-y.Peer-Reviewed Original ResearchConceptsPsychosocial factorsSocioeconomic statusPsychiatric disordersBipolar disorderGenetic riskNeuronal cell typesMajor depressionTourette syndromeBrain morphologyDisordersImaging phenotypesCell typesRisky behaviorsPsychopathologyGenetic overlapRiskGenetic discoveriesPsychiatric traitsStatusSyndromeWidespread signatures of positive selection in common risk alleles associated to autism spectrum disorder
Polimanti R, Gelernter J. Widespread signatures of positive selection in common risk alleles associated to autism spectrum disorder. PLOS Genetics 2017, 13: e1006618. PMID: 28187187, PMCID: PMC5328401, DOI: 10.1371/journal.pgen.1006618.Peer-Reviewed Original ResearchMeSH KeywordsAllelesAttention Deficit Disorder with HyperactivityAutism Spectrum DisorderBipolar DisorderBrainComputational BiologyDepressive Disorder, MajorGene Expression ProfilingGene OntologyGene Regulatory NetworksGenetic Predisposition to DiseaseGenome-Wide Association StudyGenomicsHumansPituitary GlandPolymorphism, Single NucleotideRisk FactorsSchizophreniaTranscriptomeConceptsPositive selectionGene Ontology enrichmentGene expression enrichmentPrevious genetic studiesGWAS summary statisticsNervous system developmentCommon risk allelesPsychiatric Genomics ConsortiumSystems geneticsOntology enrichmentRisk allelesSynapse organizationWidespread signaturesEvolutionary processesGenetic studiesGenomics ConsortiumGWASHuman evolutionAllelesIncomplete selectionEffect directionMinor alleleComplete selectionEnrichmentSummary statistics
2023
Functional and molecular characterization of suicidality factors using phenotypic and genome-wide data
Quintero Reis A, Newton B, Kessler R, Polimanti R, Wendt F. Functional and molecular characterization of suicidality factors using phenotypic and genome-wide data. Molecular Psychiatry 2023, 28: 1064-1071. PMID: 36604601, PMCID: PMC10005939, DOI: 10.1038/s41380-022-01929-5.Peer-Reviewed Original ResearchMeSH KeywordsGenome-Wide Association StudyHumansMental DisordersPhenotypeRisk FactorsSuicidal IdeationSuicide, AttemptedConceptsGenome-wide association studiesPolygenic scoringSummary association dataGenome-wide dataSNP effect sizesGenomic structural equation modelingGenetic study designsNew traitsAdmixed AmericansEffect size distributionBiological pathwaysAssociation studiesTranscriptomic featuresMolecular characterizationSusceptibility lociGenetic correlationsAssociation dataWide dataTraitsGenetic contributionEuropean ancestryCommon genetic factorsLociPhenotypeGenetic factors
2022
Genetic liability to suicidal thoughts and behaviors and risk of suicide attempt in US military veterans: moderating effects of cumulative trauma burden
Nichter B, Koller D, De Angelis F, Wang J, Girgenti M, Na P, Hill M, Norman S, Krystal J, Gelernter J, Polimanti R, Pietrzak R. Genetic liability to suicidal thoughts and behaviors and risk of suicide attempt in US military veterans: moderating effects of cumulative trauma burden. Psychological Medicine 2022, 53: 6325-6333. PMID: 36444557, DOI: 10.1017/s0033291722003646.Peer-Reviewed Original ResearchMeSH KeywordsFemaleGenome-Wide Association StudyHumansMaleRisk FactorsSuicidal IdeationSuicide, AttemptedVeteransConceptsPolygenic risk scoresUS military veteransLifetime suicide attemptsSuicide attemptsTrauma exposureTrauma burdenGenetic liabilityMilitary veteransDrug repurposing analysisPopulation-based sampleCumulative trauma exposureLifetime trauma exposureLow trauma exposureSuicide prediction modelsChronic inflammationInflammatory processNervous system developmentRisk scorePsychiatric characteristicsSuicidal behaviorExposure interactionsLarge genome-wide association studiesHigh levelsVeteransSuicidalityUnderstanding the comorbidity between posttraumatic stress severity and coronary artery disease using genome-wide information and electronic health records
Polimanti R, Wendt FR, Pathak GA, Tylee DS, Tcheandjieu C, Hilliard AT, Levey DF, Adhikari K, Gaziano JM, O’Donnell C, Assimes TL, Stein MB, Gelernter J. Understanding the comorbidity between posttraumatic stress severity and coronary artery disease using genome-wide information and electronic health records. Molecular Psychiatry 2022, 27: 3961-3969. PMID: 35986173, PMCID: PMC10986859, DOI: 10.1038/s41380-022-01735-z.Peer-Reviewed Original ResearchConceptsCoronary artery diseasePosttraumatic stress disorderElectronic health recordsMillion Veteran ProgramArtery diseaseTotal scoreCAD diagnosisPlatelet amyloid precursor proteinHealth recordsPosttraumatic stress severityAmyloid precursor proteinEarly CAD diagnosisUK BiobankBidirectional relationshipTwo-sample Mendelian randomization (MR) analysisMendelian randomization analysisCAD riskHigh morbidityPTSD symptom severityCARDIoGRAMplusC4D consortiumPleiotropic mechanismsSymptom severityLongitudinal changesDiscordant effectsStress disorderNot Only Gene Discovery: Genome-wide Association Studies and Polygenic Risk Scores as Tools to Dissect the Heterogeneity of Major Depressive Disorder
Polimanti R. Not Only Gene Discovery: Genome-wide Association Studies and Polygenic Risk Scores as Tools to Dissect the Heterogeneity of Major Depressive Disorder. Biological Psychiatry 2022, 92: 177-178. PMID: 35835505, PMCID: PMC9514509, DOI: 10.1016/j.biopsych.2022.05.002.Peer-Reviewed Original ResearchAPOL1 Risk Variants, Acute Kidney Injury, and Death in Participants With African Ancestry Hospitalized With COVID-19 From the Million Veteran Program
Hung AM, Shah SC, Bick AG, Yu Z, Chen HC, Hunt CM, Wendt F, Wilson O, Greevy RA, Chung CP, Suzuki A, Ho YL, Akwo E, Polimanti R, Zhou J, Reaven P, Tsao PS, Gaziano JM, Huffman JE, Joseph J, Luoh SW, Iyengar S, Chang KM, Casas JP, Matheny ME, O’Donnell C, Cho K, Tao R, Susztak K, Robinson-Cohen C, Tuteja S, Siew ED, Hung A, Wallbom A, Palacio A, Robey B, Jhala D, Fujii D, Cohen D, Boyko E, Jacono F, Villareal G, Garcon H, Gaziano J, Lichy J, Norton J, Beckham J, Whittle J, Huffman J, Moser J, Greco J, Walsh J, Harley J, Wells J, Klein J, Moorman J, Constans J, Fayad J, Casas J, Xu J, Liao K, Alexander K, Cho K, Hammer K, Oursler K, Mattocks K, Chang K, Dellitalia L, Hamner M, Whooley M, Murdoch M, Gaddy M, Godschalk M, Rauchman M, Huq M, Tandon N, Kosik N, Ratcliffe N, Okusaga O, Roussos P, Strollo P, Meyer P, Sriram P, Wilson P, Liang P, Tsao P, Balasubramanian P, Ramoni R, McArdle R, Hauger R, Servatius R, Smith R, Striker R, Mathew R, Gappy S, Pyarajan S, Gutierrez S, Gupta S, Aguayo S, Sharma S, Damrauer S, Kinlay S, Yeh S, Luoh S, Tuteja S, Mastorides S, Iyengar S, Bhushan S, Muralidhar S, Ahuja S, Liangpunsakul S, Assimes T, Morgan T, Stapley T, Sun Y, Ballas Z. APOL1 Risk Variants, Acute Kidney Injury, and Death in Participants With African Ancestry Hospitalized With COVID-19 From the Million Veteran Program. JAMA Internal Medicine 2022, 182: 386-395. PMID: 35089317, PMCID: PMC8980930, DOI: 10.1001/jamainternmed.2021.8538.Peer-Reviewed Original ResearchConceptsAcute kidney injuryNormal kidney functionHigh-risk groupAPOL1 risk variantsKidney functionAKI severityKidney injuryCohort studyMillion Veteran ProgramHigher oddsCOVID-19-associated acute kidney injuryRisk variantsMultivariable logistic regression analysisCOVID-19AKI risk factorsAKI severity stageRetrospective cohort studyAfrican ancestryApolipoprotein L1COVID-19 infectionCoronavirus disease 2019Logistic regression analysisHigh mortality rateVeteran ProgramAPOL1 kidney risk variantsUsing phenotype risk scores to enhance gene discovery for generalized anxiety disorder and posttraumatic stress disorder
Wendt FR, Pathak GA, Deak JD, De Angelis F, Koller D, Cabrera-Mendoza B, Lebovitch DS, Levey DF, Stein MB, Kranzler HR, Koenen KC, Gelernter J, Huckins LM, Polimanti R. Using phenotype risk scores to enhance gene discovery for generalized anxiety disorder and posttraumatic stress disorder. Molecular Psychiatry 2022, 27: 2206-2215. PMID: 35181757, PMCID: PMC9133008, DOI: 10.1038/s41380-022-01469-y.Peer-Reviewed Original Research
2021
Drinking and smoking polygenic risk is associated with childhood and early-adulthood psychiatric and behavioral traits independently of substance use and psychiatric genetic risk
De Angelis F, Wendt FR, Pathak GA, Tylee DS, Goswami A, Gelernter J, Polimanti R. Drinking and smoking polygenic risk is associated with childhood and early-adulthood psychiatric and behavioral traits independently of substance use and psychiatric genetic risk. Translational Psychiatry 2021, 11: 586. PMID: 34775470, PMCID: PMC8590689, DOI: 10.1038/s41398-021-01713-z.Peer-Reviewed Original ResearchConceptsSubstance useYoung adultsBehavioral traitsPhiladelphia Neurodevelopmental CohortRemoval of participantsAnxiety-related traitsRisk-taking behaviorVerbal reasoningCognitive performancePolygenic risk scoresSocial competenciesNeurobiological processesNeurodevelopmental CohortPsychiatric genetic riskDrinking behaviorParent educationPRS associationsPolygenic riskPsychopathologyGenetic overlapPsychotic symptomsAdverse health outcomesHazardous behaviorEducational attainmentTobacco smokingThe addiction risk factor: A unitary genetic vulnerability characterizes substance use disorders and their associations with common correlates
Hatoum AS, Johnson EC, Colbert SMC, Polimanti R, Zhou H, Walters RK, Gelernter J, Edenberg HJ, Bogdan R, Agrawal A. The addiction risk factor: A unitary genetic vulnerability characterizes substance use disorders and their associations with common correlates. Neuropsychopharmacology 2021, 47: 1739-1745. PMID: 34750568, PMCID: PMC9372072, DOI: 10.1038/s41386-021-01209-w.Peer-Reviewed Original ResearchIntegrative genomic analyses identify susceptibility genes underlying COVID-19 hospitalization
Pathak GA, Singh K, Miller-Fleming TW, Wendt FR, Ehsan N, Hou K, Johnson R, Lu Z, Gopalan S, Yengo L, Mohammadi P, Pasaniuc B, Polimanti R, Davis LK, Mancuso N. Integrative genomic analyses identify susceptibility genes underlying COVID-19 hospitalization. Nature Communications 2021, 12: 4569. PMID: 34315903, PMCID: PMC8316582, DOI: 10.1038/s41467-021-24824-z.Peer-Reviewed Original ResearchConceptsPutative causal genesGenome-wide association studiesUnderstanding of genesIntegrative genomic analysisTrans-ethnic studiesAssociation scanCausal genesGenomic analysisAssociation studiesDiverse ancestral backgroundsGenesSusceptibility genesBiobank JapanHost geneticsProtein levelsAncestral backgroundPathwayExpressionMRNA expressionSplicingRapid progressPhenomeGeneticsHost inflammatory responseCoagulation pathwayCross-ancestry genome-wide association studies identified heterogeneous loci associated with differences of allele frequency and regulome tagging between participants of European descent and other ancestry groups from the UK Biobank
De Lillo A, D'Antona S, Pathak GA, Wendt FR, De Angelis F, Fuciarelli M, Polimanti R. Cross-ancestry genome-wide association studies identified heterogeneous loci associated with differences of allele frequency and regulome tagging between participants of European descent and other ancestry groups from the UK Biobank. Human Molecular Genetics 2021, 30: 1457-1467. PMID: 33890984, PMCID: PMC8283210, DOI: 10.1093/hmg/ddab114.Peer-Reviewed Original ResearchConceptsGWS associationsHeterogeneous lociGenome-wide association studiesEuropean populationsAncestry-specific effectsAllele frequenciesWide significant associationsPhenome-wide analysisAncestry groupsComplex traitsLD variationPhenotypic classesAssociation studiesUK BiobankMapping variantsLociConcordant effectsCentral/South AsianAncestryWorldwide populationTraitsAsian ancestryDiscordant effectsSouth Asian ancestryEuropean descentMulti-environment gene interactions linked to the interplay between polysubstance dependence and suicidality
Polimanti R, Levey DF, Pathak GA, Wendt FR, Nunez YZ, Ursano RJ, Kessler RC, Kranzler HR, Stein MB, Gelernter J. Multi-environment gene interactions linked to the interplay between polysubstance dependence and suicidality. Translational Psychiatry 2021, 11: 34. PMID: 33431810, PMCID: PMC7801457, DOI: 10.1038/s41398-020-01153-1.Peer-Reviewed Original ResearchConceptsSuicidal ideationPolysubstance dependenceSuicide attemptsOdds ratioGene-environment interactionsYale-PennMultivariate logistic regressionImportant risk factorMultivariate gene-environment interactionsMental health risksOpioid dependenceRisk factorsNicotine dependenceSuicidality outcomesCocaine dependenceLogistic regressionSubstance dependenceSuicidalityCohortLifetime suicidalityLinear mixed modelsMultiple substancesArmy STARRSArmy personnelHealth risks
2020
Polygenic risk for autism spectrum disorder associates with anger recognition in a neurodevelopment-focused phenome-wide scan of unaffected youths from a population-based cohort
Wendt FR, Carvalho CM, Pathak GA, Gelernter J, Polimanti R. Polygenic risk for autism spectrum disorder associates with anger recognition in a neurodevelopment-focused phenome-wide scan of unaffected youths from a population-based cohort. PLOS Genetics 2020, 16: e1009036. PMID: 32941431, PMCID: PMC7523983, DOI: 10.1371/journal.pgen.1009036.Peer-Reviewed Original ResearchShared genetic risk between eating disorder‐ and substance‐use‐related phenotypes: Evidence from genome‐wide association studies
Munn‐Chernoff M, Johnson EC, Chou Y, Coleman JRI, Thornton LM, Walters RK, Yilmaz Z, Baker JH, Hübel C, Gordon S, Medland SE, Watson HJ, Gaspar HA, Bryois J, Hinney A, Leppä VM, Mattheisen M, Ripke S, Yao S, Giusti‐Rodríguez P, Hanscombe KB, Adan RAH, Alfredsson L, Ando T, Andreassen OA, Berrettini WH, Boehm I, Boni C, Perica V, Buehren K, Burghardt R, Cassina M, Cichon S, Clementi M, Cone RD, Courtet P, Crow S, Crowley JJ, Danner UN, Davis OSP, de Zwaan M, Dedoussis G, Degortes D, DeSocio JE, Dick DM, Dikeos D, Dina C, Dmitrzak‐Weglarz M, Docampo E, Duncan LE, Egberts K, Ehrlich S, Escaramís G, Esko T, Estivill X, Farmer A, Favaro A, Fernández‐Aranda F, Fichter MM, Fischer K, Föcker M, Foretova L, Forstner AJ, Forzan M, Franklin CS, Gallinger S, Giegling I, Giuranna J, Gonidakis F, Gorwood P, Mayora M, Guillaume S, Guo Y, Hakonarson H, Hatzikotoulas K, Hauser J, Hebebrand J, Helder SG, Herms S, Herpertz‐Dahlmann B, Herzog W, Huckins LM, Hudson JI, Imgart H, Inoko H, Janout V, Jiménez‐Murcia S, Julià A, Kalsi G, Kaminská D, Karhunen L, Karwautz A, Kas MJH, Kennedy JL, Keski‐Rahkonen A, Kiezebrink K, Kim Y, Klump KL, Knudsen GPS, La Via MC, Le Hellard S, Levitan RD, Li D, Lilenfeld L, Lin BD, Lissowska J, Luykx J, Magistretti PJ, Maj M, Mannik K, Marsal S, Marshall CR, Mattingsdal M, McDevitt S, McGuffin P, Metspalu A, Meulenbelt I, Micali N, Mitchell K, Monteleone AM, Monteleone P, Nacmias B, Navratilova M, Ntalla I, O'Toole JK, Ophoff RA, Padyukov L, Palotie A, Pantel J, Papezova H, Pinto D, Rabionet R, Raevuori A, Ramoz N, Reichborn‐Kjennerud T, Ricca V, Ripatti S, Ritschel F, Roberts M, Rotondo A, Rujescu D, Rybakowski F, Santonastaso P, Scherag A, Scherer SW, Schmidt U, Schork NJ, Schosser A, Seitz J, Slachtova L, Slagboom PE, Landt M, Slopien A, Sorbi S, Świątkowska B, Szatkiewicz JP, Tachmazidou I, Tenconi E, Tortorella A, Tozzi F, Treasure J, Tsitsika A, Tyszkiewicz‐Nwafor M, Tziouvas K, van Elburg A, van Furth E, Wagner G, Walton E, Widen E, Zeggini E, Zerwas S, Zipfel S, Bergen AW, Boden JM, Brandt H, Crawford S, Halmi KA, Horwood LJ, Johnson C, Kaplan AS, Kaye WH, Mitchell J, Olsen CM, Pearson JF, Pedersen NL, Strober M, Werge T, Whiteman DC, Woodside DB, Grove J, Henders AK, Larsen JT, Parker R, Petersen LV, Jordan J, Kennedy MA, Birgegård A, Lichtenstein P, Norring C, Landén M, Mortensen PB, Polimanti R, McClintick JN, Adkins AE, Aliev F, Bacanu S, Batzler A, Bertelsen S, Biernacka JM, Bigdeli TB, Chen L, Clarke T, Degenhardt F, Docherty AR, Edwards AC, Foo JC, Fox L, Frank J, Hack LM, Hartmann AM, Hartz SM, Heilmann‐Heimbach S, Hodgkinson C, Hoffmann P, Hottenga J, Konte B, Lahti J, Lahti‐Pulkkinen M, Lai D, Ligthart L, Loukola A, Maher BS, Mbarek H, McIntosh AM, McQueen MB, Meyers JL, Milaneschi Y, Palviainen T, Peterson RE, Ryu E, Saccone NL, Salvatore JE, Sanchez‐Roige S, Schwandt M, Sherva R, Streit F, Strohmaier J, Thomas N, Wang J, Webb BT, Wedow R, Wetherill L, Wills AG, Zhou H, Boardman JD, Chen D, Choi D, Copeland WE, Culverhouse RC, Dahmen N, Degenhardt L, Domingue BW, Frye MA, Gäebel W, Hayward C, Ising M, Keyes M, Kiefer F, Koller G, Kramer J, Kuperman S, Lucae S, Lynskey MT, Maier W, Mann K, Männistö S, Müller‐Myhsok B, Murray AD, Nurnberger JI, Preuss U, Räikkönen K, Reynolds MD, Ridinger M, Scherbaum N, Schuckit MA, Soyka M, Treutlein J, Witt SH, Wodarz N, Zill P, Adkins DE, Boomsma DI, Bierut LJ, Brown SA, Bucholz KK, Costello EJ, de Wit H, Diazgranados N, Eriksson JG, Farrer LA, Foroud TM, Gillespie NA, Goate AM, Goldman D, Grucza RA, Hancock DB, Harris KM, Hesselbrock V, Hewitt JK, Hopfer CJ, Iacono WG, Johnson EO, Karpyak VM, Kendler KS, Kranzler HR, Krauter K, Lind PA, McGue M, MacKillop J, Madden PAF, Maes HH, Magnusson PKE, Nelson EC, Nöthen MM, Palmer AA, Penninx BWJH, Porjesz B, Rice JP, Rietschel M, Riley BP, Rose RJ, Shen P, Silberg J, Stallings MC, Tarter RE, Vanyukov MM, Vrieze S, Wall TL, Whitfield JB, Zhao H, Neale BM, Wade TD, Heath AC, Montgomery GW, Martin NG, Sullivan PF, Kaprio J, Breen G, Gelernter J, Edenberg HJ, Bulik CM, Agrawal A. Shared genetic risk between eating disorder‐ and substance‐use‐related phenotypes: Evidence from genome‐wide association studies. Addiction Biology 2020, 26: e12880. PMID: 32064741, PMCID: PMC7429266, DOI: 10.1111/adb.12880.Peer-Reviewed Original Research
2018
Local adaptation in European populations affected the genetics of psychiatric disorders and behavioral traits
Polimanti R, Kayser MH, Gelernter J. Local adaptation in European populations affected the genetics of psychiatric disorders and behavioral traits. Genome Medicine 2018, 10: 24. PMID: 29580271, PMCID: PMC5870256, DOI: 10.1186/s13073-018-0532-7.Peer-Reviewed Original ResearchConceptsLocal adaptationPathogen diversityEuropean populationsBehavioral traitsGenome-wide investigationGenome-wide dataPolygenic risk score analysisProtozoan diversityWinter minimum temperaturesGenetic diversityEvolutionary mechanismsPositive selectionWidespread signalMolecular mechanismsTop findingsRisk score analysisDiversityTraitsCommon variationBehavioral phenotypesAdaptationGeneticsPopulationPhenotypeMechanism
2017
A genome-wide gene-by-trauma interaction study of alcohol misuse in two independent cohorts identifies PRKG1 as a risk locus
Polimanti R, Kaufman J, Zhao H, Kranzler HR, Ursano RJ, Kessler RC, Gelernter J, Stein MB. A genome-wide gene-by-trauma interaction study of alcohol misuse in two independent cohorts identifies PRKG1 as a risk locus. Molecular Psychiatry 2017, 23: 154-160. PMID: 28265120, PMCID: PMC5589475, DOI: 10.1038/mp.2017.24.Peer-Reviewed Original ResearchConceptsGenome-wide interaction studyGene Ontology (GO) enrichment analysisOntology enrichment analysisProtein kinase 1Protein regulationSame effect directionCyclic GMP-dependent protein kinase 1Circadian rhythm regulationRisk lociWide geneEnrichment analysisInteraction studiesKinase 1Individual genetic riskPsychiatric geneticsCalcium-activated potassium channelsGenesLociPRKG1Potassium channelsEffect directionRhythm regulationAlcohol use problemsRegulationAlcohol misuse
2016
Genetic factor common to schizophrenia and HIV infection is associated with risky sexual behavior: antagonistic vs. synergistic pleiotropic SNPs enriched for distinctly different biological functions
Wang Q, Polimanti R, Kranzler HR, Farrer LA, Zhao H, Gelernter J. Genetic factor common to schizophrenia and HIV infection is associated with risky sexual behavior: antagonistic vs. synergistic pleiotropic SNPs enriched for distinctly different biological functions. Human Genetics 2016, 136: 75-83. PMID: 27752767, PMCID: PMC5215962, DOI: 10.1007/s00439-016-1737-8.Peer-Reviewed Original Research
2015
Nutritional habits, lifestyle, and genetic predisposition in cardiovascular and metabolic traits in Turkish population
Karaca S, Erge S, Cesuroglu T, Polimanti R. Nutritional habits, lifestyle, and genetic predisposition in cardiovascular and metabolic traits in Turkish population. Nutrition 2015, 32: 693-701. PMID: 26856649, DOI: 10.1016/j.nut.2015.12.027.Peer-Reviewed Original ResearchConceptsDietary habitsCausative relationshipGenetic predispositionTurkish populationDifferent cardiometabolic diseasesGenetic factorsCardiometabolic diseasesRisk factorsNutritional habitsDisease riskDifferent biological mechanismsMetabolic traitsSignificant correlationCausative networkGenetic variantsBiological mechanismsGenetic associationCMTPresent studyPredispositionLifestyleAnthropometric traitsHabitsPopulationFactors