2025
Bayesian Longitudinal Network Regression With Application to Brain Connectome Genetics
Li C, Tian X, Gao S, Wang S, Wang G, Zhao Y, Zhao Y. Bayesian Longitudinal Network Regression With Application to Brain Connectome Genetics. Statistics In Medicine 2025, 44: e70069. PMID: 40277222, DOI: 10.1002/sim.70069.Peer-Reviewed Original ResearchConceptsSample relatednessLongitudinal genome-wide association studiesGenome-wide association studiesBrain imaging genetic studiesMultivariate phenotypesGenetic signalsImaging genetics studiesAssociation studiesGenetic studiesGenetic variantsGenetic underpinningsGenetic contributionGenetic effectsRelatednessAdolescent Brain Cognitive DevelopmentBrain functional connectivityFunctional organizationBiological architectureFunctional connectivityRobust inferenceGeneticsPhenotypeAnalytical challengesPosterior inferenceBrain network configurationThe bridge-like lipid transport protein VPS13C/PARK23 mediates ER–lysosome contacts following lysosome damage
Wang X, Xu P, Bentley-DeSousa A, Hancock-Cerutti W, Cai S, Johnson B, Tonelli F, Shao L, Talaia G, Alessi D, Ferguson S, De Camilli P. The bridge-like lipid transport protein VPS13C/PARK23 mediates ER–lysosome contacts following lysosome damage. Nature Cell Biology 2025, 27: 776-789. PMID: 40211074, PMCID: PMC12081312, DOI: 10.1038/s41556-025-01653-6.Peer-Reviewed Original ResearchConceptsDisease genesResponse to lysosomal damageSurface of lysosomesER–lysosome contactsParkinson's disease genesDelivery to lysosomesLipid transport proteinsLysosomal damageVPS13 proteinsLysosomal surfaceDisease proteinsGenetic studiesDamaged lysosomesVPS13CLysosomal stressLipid transportLysosomesInhibited stateMembrane perturbationRab7Lysosomal dysfunctionProteinVps13LipidGenesEnhanced insights into the genetic architecture of 3D cranial vault shape using pleiotropy-informed GWAS
Goovaerts S, Naqvi S, Hoskens H, Herrick N, Yuan M, Shriver M, Shaffer J, Walsh S, Weinberg S, Wysocka J, Claes P. Enhanced insights into the genetic architecture of 3D cranial vault shape using pleiotropy-informed GWAS. Communications Biology 2025, 8: 439. PMID: 40087503, PMCID: PMC11909261, DOI: 10.1038/s42003-025-07875-6.Peer-Reviewed Original ResearchConceptsCranial vault shapeVault shapeGenomic lociGenetic discovery effortsSNP discoveryCraniofacial developmentGenetic architectureGWAS dataGWAS studiesTranscription factorsGenetic studiesCranial vaultGenetic understandingShape variationSignaling pathwayBrain shapeExperimental biologyBrain shape variationCraniofacial complexFDR methodLociDiscovery effortsFacial shapeWealth of knowledgeGWASImplications of gene × environment interactions in post-traumatic stress disorder risk and treatment
Seah C, Sidamon-Eristoff A, Huckins L, Brennand K. Implications of gene × environment interactions in post-traumatic stress disorder risk and treatment. Journal Of Clinical Investigation 2025, 135: e185102. PMID: 40026250, PMCID: PMC11870735, DOI: 10.1172/jci185102.Peer-Reviewed Original ResearchConceptsPost-traumatic stress disorderGene x environment interactionsGenetic component of riskLimitations of genetic studiesTreating post-traumatic stress disorderExposure to traumatic stressPost-traumatic stress disorder riskInteraction of traumaGenetic screeningGenetic studiesGenetic componentEnvironment interactionMolecular mechanismsStress disorderPTSD riskTraumatic exposureTraumatic stressTraumatic experiencesDisorder riskGenetic factorsNovel therapeuticsBiological mechanismsGWASGeneral populationGenesSex‐Specific Association Between Polymorphisms in Estrogen Receptor Alpha Gene (ESR1) and Depression: A Genome‐Wide Association Study of All of Us and UK Biobank Data
Hu Y, Che M, Zhang H. Sex‐Specific Association Between Polymorphisms in Estrogen Receptor Alpha Gene (ESR1) and Depression: A Genome‐Wide Association Study of All of Us and UK Biobank Data. Genetic Epidemiology 2025, 49: e70004. PMID: 40007508, PMCID: PMC11924109, DOI: 10.1002/gepi.70004.Peer-Reviewed Original ResearchConceptsGenome-wide association studiesSingle-nucleotide polymorphismsAssociation studiesAlpha geneEstrogen receptor alpha geneGenetic risk factorsRisk lociGenomic associationsMajor depressive disorderMDD phenotypesGenetic studiesGenetic associationRisk factors of MDDGenesESR1 geneUK BiobankESR1Participant genotypesPolymorphismSex-SpecificSex-specific associationsDepressive disorderRacial/ethnic disparitiesFindings lack consistencyLength of lifeIdentification of risk variants and cross-disorder pleiotropy through multi-ancestry genome-wide analysis of alcohol use disorder
Icick R, Shadrin A, Holen B, Karadag N, Parker N, O’Connell K, Frei O, Bahrami S, Høegh M, Lagerberg T, Cheng W, Seibert T, Djurovic S, Dale A, Zhou H, Edenberg H, Gelernter J, Smeland O, Hindley G, Andreassen O. Identification of risk variants and cross-disorder pleiotropy through multi-ancestry genome-wide analysis of alcohol use disorder. Nature Mental Health 2025, 3: 253-265. PMID: 40322774, PMCID: PMC12048032, DOI: 10.1038/s44220-024-00353-8.Peer-Reviewed Original ResearchAlcohol use disorderGenome-wide association studiesUse disorderAssociation studiesMulti-ancestry genome-wide association studyEtiology of alcohol use disordersIdentification of risk variantsAlcohol use disorder phenotypesGenome-wide significant lociAlcohol use disorder riskMapped to genesComplications of alcohol usePotential drug targetsAlcohol phenotypesCross-disorderPolygenic overlapPositive genetic correlationSignificant lociGenetic architectureGenetic liabilityGenetic lociBrain regionsRisk variantsGenetic studiesImmune-related genesCoupling metabolomics and exome sequencing reveals graded effects of rare damaging heterozygous variants on gene function and human traits
Scherer N, Fässler D, Borisov O, Cheng Y, Schlosser P, Wuttke M, Haug S, Li Y, Telkämper F, Patil S, Meiselbach H, Wong C, Berger U, Sekula P, Hoppmann A, Schultheiss U, Mozaffari S, Xi Y, Graham R, Schmidts M, Köttgen M, Oefner P, Knauf F, Eckardt K, Grünert S, Estrada K, Thiele I, Hertel J, Köttgen A. Coupling metabolomics and exome sequencing reveals graded effects of rare damaging heterozygous variants on gene function and human traits. Nature Genetics 2025, 57: 193-205. PMID: 39747595, PMCID: PMC11735408, DOI: 10.1038/s41588-024-01965-7.Peer-Reviewed Original ResearchConceptsWhole-exome sequencing dataGene-metabolite associationsHuman traitsHuman metabolic reactionsSequence dataAllelic seriesGene functionExome sequencingFunctional variantsGenetic studiesInborn errors of metabolismHeterozygous variantsErrors of metabolismMusculoskeletal traitsMetabolic reactionsHuman heightUrine metabolitesHeterozygous stateSulfate reabsorptionInborn errorsTraitsAggregation testVariantsHuman metabolismMetabolomicsNeurobiology of Autism Spectrum Disorder and Intellectual Disability
Massa A, Costales J, Rubeis S, Foss-Feig J, Hof P, Kolevzon A. Neurobiology of Autism Spectrum Disorder and Intellectual Disability. 2025, 855-864. DOI: 10.1093/med/9780197640654.003.0063.Peer-Reviewed Original ResearchAbstract Autism spectrum disorderIntellectual disabilityAutism spectrum disorderSpectrum disorderNeurobiology of autism spectrum disordersAssociated with IDRepetitive behaviorsNeurodevelopmental disordersSocial communicationNeurobiologyInhibitory neurotransmissionSynaptic dysfunctionDisordersEarly childhoodASD riskGenetic factorsAnimal studiesASD genesNeurotransmissionGenetic studiesImpairmentDisability
2024
Genetic and molecular drivers of scleroderma pathogenesis
Odell I. Genetic and molecular drivers of scleroderma pathogenesis. Clinics In Dermatology 2024, 43: 153-159. PMID: 39675445, PMCID: PMC12009687, DOI: 10.1016/j.clindermatol.2024.12.007.Peer-Reviewed Original ResearchGrowth factor signalingFactor signalingScleroderma pathogenesisActivated growth factor receptorsGenetic association studiesTherapeutic approachesMolecular driversHereditary hemorrhagic telangiectasiaAssociation studiesRegulatory genesGrowth factor receptorImmune regulatory genesGenetic studiesBiological insightsVascular endothelial cellsMolecular mechanismsHemorrhagic telangiectasiaImmune dysregulationClinical findingsVascular abnormalitiesHeterogeneous diseaseClinical phenotypeFactor receptorPatient phenotypesMultiple malignanciesNeuroinflammation in Alzheimer disease
Heneka M, van der Flier W, Jessen F, Hoozemanns J, Thal D, Boche D, Brosseron F, Teunissen C, Zetterberg H, Jacobs A, Edison P, Ramirez A, Cruchaga C, Lambert J, Laza A, Sanchez-Mut J, Fischer A, Castro-Gomez S, Stein T, Kleineidam L, Wagner M, Neher J, Cunningham C, Singhrao S, Prinz M, Glass C, Schlachetzki J, Butovsky O, Kleemann K, De Jaeger P, Scheiblich H, Brown G, Landreth G, Moutinho M, Grutzendler J, Gomez-Nicola D, McManus R, Andreasson K, Ising C, Karabag D, Baker D, Liddelow S, Verkhratsky A, Tansey M, Monsonego A, Aigner L, Dorothée G, Nave K, Simons M, Constantin G, Rosenzweig N, Pascual A, Petzold G, Kipnis J, Venegas C, Colonna M, Walter J, Tenner A, O’Banion M, Steinert J, Feinstein D, Sastre M, Bhaskar K, Hong S, Schafer D, Golde T, Ransohoff R, Morgan D, Breitner J, Mancuso R, Riechers S. Neuroinflammation in Alzheimer disease. Nature Reviews Immunology 2024, 25: 321-352. PMID: 39653749, DOI: 10.1038/s41577-024-01104-7.Peer-Reviewed Original ResearchAlzheimer's diseasePathogenesis of Alzheimer's diseaseMultiple lines of informationGenetic studiesInfluence of geneticsLines of informationCell typesDisease developmentDementia-causing diseasesStages of Alzheimer's diseasePathological roleMultiple linesTherapeutic strategiesImmune processesPreclinical stage of Alzheimer's diseaseCellsAdaptive immune activationTargeting neuroinflammationPathological mechanismsLifestyle factorsGeneticsDECIPHERING THE UNDERLYING BIOLOGY OF PSYCHIATRIC DISORDERS THROUGH LONGITUDINAL FAMILY COHORT BASED STUDIES IN INDIA
Viswanath B, Sud R, Ganesh S, Mahadevan J, Holla B, Paul P, Purushottam M, Jain S, Consortium A. DECIPHERING THE UNDERLYING BIOLOGY OF PSYCHIATRIC DISORDERS THROUGH LONGITUDINAL FAMILY COHORT BASED STUDIES IN INDIA. European Neuropsychopharmacology 2024, 87: 43-44. DOI: 10.1016/j.euroneuro.2024.08.108.Peer-Reviewed Original ResearchAdverse childhood eventsWhole-exome sequencingFirst-degree relativesChildhood eventsStudies of psychiatric disordersFamily history densityObsessive compulsive disorderGenetic studies of psychiatric disordersSubstance use disordersPeripheral blood mononuclear cellsSevere mental illnessLongitudinal family cohortGenetic studiesAge-of-onsetTransdiagnostic endophenotypesBrain imaging abnormalitiesCompulsive disorderBipolar disorderPsychiatric diagnosisPsychiatric disordersMultiple affected membersCognitive performanceRare damaging variantsMental illnessCognitive AssessmentW32. A GENOME-WIDE ASSOCIATION STUDY OF BIPOLAR DISORDER FROM INDIA
Mahadevan J, Holla B, Ganesh S, Shankarappa B, Paul P, Sud R, Jain S, Purushottam M, Viswanath B. W32. A GENOME-WIDE ASSOCIATION STUDY OF BIPOLAR DISORDER FROM INDIA. European Neuropsychopharmacology 2024, 87: 118. DOI: 10.1016/j.euroneuro.2024.08.241.Peer-Reviewed Original ResearchGenome-wide association studiesGenomic risk lociRisk lociAssociation studiesGenome-wide association study of BDGenome wide association studiesAncestry principal componentsSevere mental illnessWhole-genome sequencingTissue expression analysisBiology of BdPatients of European ancestryBipolar disorderHRC panelGenome sequenceMental illnessAncestry samplesGenomic methodsEpisodes of depressionAllele dosageGenetic studiesEuropean ancestryICD-10Outpatient clinicTrained psychiatristsWhole-genome Sequencing Association Analysis of Quantitative Platelet Traits in A Large Cohort of β-thalassemia
Wang X, Zhang Q, Chen X, Huang Y, Zhang W, Liao L, Zhang X, Huang B, Huang Y, Ye Y, Song M, Lao J, Chen J, Feng X, Long X, Liu Z, Zhu W, Yu L, Fan C, Tang D, Zhong T, Fang M, Li C, Niu C, Huang L, Lin B, Hua X, Jin X, Li Z, Xu X. Whole-genome Sequencing Association Analysis of Quantitative Platelet Traits in A Large Cohort of β-thalassemia. Genomics Proteomics & Bioinformatics 2024, qzae065. PMID: 39331630, DOI: 10.1093/gpbjnl/qzae065.Peer-Reviewed Original ResearchPlatelet traitsAnalysis of whole-genome sequencing dataWhole-genome sequencing dataFunctional annotation dataGenotype-phenotype association studiesRare variantsLack of genetic studiesMean platelet volumeNoncoding genomeWhole genomeSequence dataAssociation studiesMultiple genesGenetic studiesB-thalassemia patientsB-thalassemiaPhenotypic heterogeneityIntegrated analysisTraitsMissenseGenesPotential targetVariantsRV analysisGenomeGenetic profile of progressive myoclonic epilepsy in Mali reveals novel findings
Cissé L, Bamba S, Diallo S, Ji W, Dembélé M, Yalcouyé A, Coulibaly T, Traoré I, Jeffries L, Diarra S, Maiga A, Diallo S, Nimaga K, Touré A, Traoré O, Kotioumbé M, Mis E, Cissé C, Guinto C, Fischbeck K, Khokha M, Lakhani S, Landouré G. Genetic profile of progressive myoclonic epilepsy in Mali reveals novel findings. Frontiers In Neurology 2024, 15: 1455467. PMID: 39385815, PMCID: PMC11461190, DOI: 10.3389/fneur.2024.1455467.Peer-Reviewed Original ResearchWhole-exome sequencingACMG criteriaProgressive myoclonic epilepsyProtein 3D structuresHomozygous missense variantRecessive inheritance patternCADD scoresAutosomal recessive inheritance patternSequence variantsMissense variantsGenomic researchExome sequencingGenetic analysisGenetic studiesPathogenic variantsPedigree analysisGenetic epidemiologyGenetic researchGenetic profileHeterogeneous neurological disordersInheritance patternSporadic formsACMGGroup of neurological disordersMyoclonic epilepsyDiversity and scale: Genetic architecture of 2068 traits in the VA Million Veteran Program
Verma A, Huffman J, Rodriguez A, Conery M, Liu M, Ho Y, Kim Y, Heise D, Guare L, Panickan V, Garcon H, Linares F, Costa L, Goethert I, Tipton R, Honerlaw J, Davies L, Whitbourne S, Cohen J, Posner D, Sangar R, Murray M, Wang X, Dochtermann D, Devineni P, Shi Y, Nandi T, Assimes T, Brunette C, Carroll R, Clifford R, Duvall S, Gelernter J, Hung A, Iyengar S, Joseph J, Kember R, Kranzler H, Kripke C, Levey D, Luoh S, Merritt V, Overstreet C, Deak J, Grant S, Polimanti R, Roussos P, Shakt G, Sun Y, Tsao N, Venkatesh S, Voloudakis G, Justice A, Begoli E, Ramoni R, Tourassi G, Pyarajan S, Tsao P, O'Donnell C, Muralidhar S, Moser J, Casas J, Bick A, Zhou W, Cai T, Voight B, Cho K, Gaziano J, Madduri R, Damrauer S, Liao K. Diversity and scale: Genetic architecture of 2068 traits in the VA Million Veteran Program. Science 2024, 385: eadj1182. PMID: 39024449, DOI: 10.1126/science.adj1182.Peer-Reviewed Original ResearchConceptsMillion Veteran ProgramNon-European populationsVeteran ProgramGenetic architectureAtlas of genetic associationsVeterans Affairs Million Veteran ProgramVA Million Veteran ProgramGenomic risk lociGenome-wide associationHuman genetic studiesHealth disparitiesUnited States veteransCausal variantsRisk lociGenetic insightsGenetic studiesGenetic associationGenetic causeStates veteransDiverse populationsDisease factorsLack of inclusionLongitudinal studyParticipantsTraitsLeveraging Functional Annotations Improves Cross-Population Genetic Risk Prediction
Ye Y, Xu L, Zhao H. Leveraging Functional Annotations Improves Cross-Population Genetic Risk Prediction. ICSA Book Series In Statistics 2024, 453-471. DOI: 10.1007/978-3-031-50690-1_18.Peer-Reviewed Original ResearchPolygenic risk scoresFunctional annotationGenetic risk predictionStandard PRSPost-GWAS analysisPolygenic risk score modelCross-population predictionNon-European populationsGenetic resultsGenetic studiesRisk predictionCross populationsAnnoPredPRS methodsUK BiobankAnnotationRisk scoreTraits/diseasesLDpredPopulationP+TPoor transferBiobankBayesian frameworkFolate metabolism and risk of childhood acute lymphoblastic leukemia: a genetic pathway analysis from the Childhood Cancer and Leukemia International Consortium
Metayer C, Spector L, Scheurer M, Jeon S, Scott R, Takagi M, Clavel J, Manabe A, Ma X, Hailu E, Lupo P, Urayama K, Bonaventure A, Kato M, Meirhaeghe A, Chiang C, Morimoto L, Wiemels J. Folate metabolism and risk of childhood acute lymphoblastic leukemia: a genetic pathway analysis from the Childhood Cancer and Leukemia International Consortium. Cancer Epidemiology Biomarkers & Prevention 2024, 33: 1248-1252. PMID: 38904462, PMCID: PMC11369612, DOI: 10.1158/1055-9965.epi-24-0189.Peer-Reviewed Original ResearchSingle nucleotide polymorphismsGenome-wide dataAncestry groupsFolate metabolic pathwayGenetic variantsChildhood cancerMetabolic pathwaysGenetic pathway analysisRisk of childhood ALLRisk of childhood acute lymphoblastic leukemiaGene-folate interactionsChildhood ALL riskCase-control studyDNA methylationMETAL softwareGenetic studiesNucleotide polymorphismsPathway analysisMeta-analysis of original dataALL riskGenetic effectsAncestryFolate pathwayMaternal genetic effectsFolate intakeDynamic recruitment of inhibitory complexes by CD25 controls B-cell development and selection
Sun R, Lee J, Robinson M, Kume K, Ma N, Cosgun K, Chan L, Antoshkina I, Khanduja D, Leveille E, Katz S, Vaidehi N, Müschen M. Dynamic recruitment of inhibitory complexes by CD25 controls B-cell development and selection. The Journal Of Immunology 2024, 212: 1253_4618-1253_4618. DOI: 10.4049/jimmunol.212.supp.1253.4618.Peer-Reviewed Original ResearchBCR signalingInhibitory complexInhibitory phosphatasesPositively charged tailITIM-bearing receptorsInitiation of BCR signalingNegatively charged residuesB cell developmentSH2 domainPhosphatase domainCytoplasmic tailITIM motifsGenetic studiesPhosphatase SHP1Co-IPBCR complexDynamic recruitmentIL2 receptorCell surfaceB cellsSHP1Surface-expressedTernary complexClonal expansionPhosphataseGenome-wide association analyses identify 95 risk loci and provide insights into the neurobiology of post-traumatic stress disorder
Nievergelt C, Maihofer A, Atkinson E, Chen C, Choi K, Coleman J, Daskalakis N, Duncan L, Polimanti R, Aaronson C, Amstadter A, Andersen S, Andreassen O, Arbisi P, Ashley-Koch A, Austin S, Avdibegoviç E, Babić D, Bacanu S, Baker D, Batzler A, Beckham J, Belangero S, Benjet C, Bergner C, Bierer L, Biernacka J, Bierut L, Bisson J, Boks M, Bolger E, Brandolino A, Breen G, Bressan R, Bryant R, Bustamante A, Bybjerg-Grauholm J, Bækvad-Hansen M, Børglum A, Børte S, Cahn L, Calabrese J, Caldas-de-Almeida J, Chatzinakos C, Cheema S, Clouston S, Colodro-Conde L, Coombes B, Cruz-Fuentes C, Dale A, Dalvie S, Davis L, Deckert J, Delahanty D, Dennis M, Desarnaud F, DiPietro C, Disner S, Docherty A, Domschke K, Dyb G, Kulenović A, Edenberg H, Evans A, Fabbri C, Fani N, Farrer L, Feder A, Feeny N, Flory J, Forbes D, Franz C, Galea S, Garrett M, Gelaye B, Gelernter J, Geuze E, Gillespie C, Goleva S, Gordon S, Goçi A, Grasser L, Guindalini C, Haas M, Hagenaars S, Hauser M, Heath A, Hemmings S, Hesselbrock V, Hickie I, Hogan K, Hougaard D, Huang H, Huckins L, Hveem K, Jakovljević M, Javanbakht A, Jenkins G, Johnson J, Jones I, Jovanovic T, Karstoft K, Kaufman M, Kennedy J, Kessler R, Khan A, Kimbrel N, King A, Koen N, Kotov R, Kranzler H, Krebs K, Kremen W, Kuan P, Lawford B, Lebois L, Lehto K, Levey D, Lewis C, Liberzon I, Linnstaedt S, Logue M, Lori A, Lu Y, Luft B, Lupton M, Luykx J, Makotkine I, Maples-Keller J, Marchese S, Marmar C, Martin N, Martínez-Levy G, McAloney K, McFarlane A, McLaughlin K, McLean S, Medland S, Mehta D, Meyers J, Michopoulos V, Mikita E, Milani L, Milberg W, Miller M, Morey R, Morris C, Mors O, Mortensen P, Mufford M, Nelson E, Nordentoft M, Norman S, Nugent N, O’Donnell M, Orcutt H, Pan P, Panizzon M, Pathak G, Peters E, Peterson A, Peverill M, Pietrzak R, Polusny M, Porjesz B, Powers A, Qin X, Ratanatharathorn A, Risbrough V, Roberts A, Rothbaum A, Rothbaum B, Roy-Byrne P, Ruggiero K, Rung A, Runz H, Rutten B, de Viteri S, Salum G, Sampson L, Sanchez S, Santoro M, Seah C, Seedat S, Seng J, Shabalin A, Sheerin C, Silove D, Smith A, Smoller J, Sponheim S, Stein D, Stensland S, Stevens J, Sumner J, Teicher M, Thompson W, Tiwari A, Trapido E, Uddin M, Ursano R, Valdimarsdóttir U, Van Hooff M, Vermetten E, Vinkers C, Voisey J, Wang Y, Wang Z, Waszczuk M, Weber H, Wendt F, Werge T, Williams M, Williamson D, Winsvold B, Winternitz S, Wolf C, Wolf E, Xia Y, Xiong Y, Yehuda R, Young K, Young R, Zai C, Zai G, Zervas M, Zhao H, Zoellner L, Zwart J, deRoon-Cassini T, van Rooij S, van den Heuvel L, Stein M, Ressler K, Koenen K. Genome-wide association analyses identify 95 risk loci and provide insights into the neurobiology of post-traumatic stress disorder. Nature Genetics 2024, 56: 792-808. PMID: 38637617, PMCID: PMC11396662, DOI: 10.1038/s41588-024-01707-9.Peer-Reviewed Original ResearchConceptsMeta-analysis of genome-wide association studiesGenome-wide significant lociMulti-ancestry meta-analysisGenome-wide association analysisGenome-wide association studiesIndividuals of European ancestryPotential causal genesNative American ancestryMulti-omics approachPost-traumatic stress disorderAdmixed individualsSignificant lociRisk lociCausal genesAssociation studiesAssociation analysisFunctional genesTranscription factorsGenetic studiesAmerican ancestryEuropean ancestryAxon guidanceSynaptic structureLociGenesRobustness in population-structure and demographic-inference results derived from the Aedes aegypti genotyping chip and whole-genome sequencing data
Gómez-Palacio A, Morinaga G, Turner P, Micieli M, Elnour M, Salim B, Surendran S, Ramasamy R, Powell J, Soghigian J, Gloria-Soria A. Robustness in population-structure and demographic-inference results derived from the Aedes aegypti genotyping chip and whole-genome sequencing data. G3: Genes, Genomes, Genetics 2024, 14: jkae082. PMID: 38626295, PMCID: PMC11152066, DOI: 10.1093/g3journal/jkae082.Peer-Reviewed Original ResearchWhole-genome sequencingPopulation genetic studiesSNP chipGenome sequenceSequencing approachWhole-genome sequencing dataLow-depth whole-genome sequencingWhole-genome sequencing approachCoverage whole genome sequencingLow-coverage whole-genome sequencingSNP chip dataAllele frequency spectrumDiverse AeVectors of human diseasesPhylogenetic analysisSequence dataPopulation geneticsPopulation structureGenomic studiesInvasive rangeMosquito Aedes aegyptiPopulation-structureChip dataGenetic studiesSNPs
This site is protected by hCaptcha and its Privacy Policy and Terms of Service apply