grant

Quantifying the contributions of mitochondrial DNA to Alzheimer's Disease and related conditions of aging

Organization MICHIGAN STATE UNIVERSITYLocation EAST LANSING, UNITED STATESPosted 15 Aug 2021Deadline 30 Apr 2027
NIHUS FederalResearch GrantFY2025AD dementiaAdult-Onset Diabetes MellitusAerobicAgingAlzheimer Type DementiaAlzheimer disease dementiaAlzheimer risk factorAlzheimer sclerosisAlzheimer syndromeAlzheimer'sAlzheimer's DiseaseAlzheimer's disease riskAlzheimers DementiaAvesAvianBacteriaBiometricsBiometryBiostatisticsBirdsBirth CertificatesBreathingCausalityCharacteristicsCommunitiesCytoplasmDNADNA RecombinationData SetDeath CertificatesDeoxyribonucleic AcidDevelopmentDiabetes MellitusDiseaseDisorderDistantDysfunctionElementsEnvironmentEtiologyExtended FamilyFamilyFamily memberFishesFoodFunctional disorderFutureGametesGenerationsGeneticGenetic RecombinationGerm CellsGerm-Line CellsHereditaryIndividualInheritance PatternsInheritedJointsKetosis-Resistant Diabetes MellitusKnowledgeLength of LifeLifeLinkLongevityMammaliaMammalsMaturity-Onset Diabetes MellitusMedicalMedical RecordsMeiosisMethodsMitochondriaMitochondrial DNAModelingMothersNIDDMNon-Insulin Dependent DiabetesNon-Insulin-Dependent Diabetes MellitusNoninsulin Dependent DiabetesNoninsulin Dependent Diabetes MellitusNuclearNuclear FamilyOrganellesOrganismOutcomeParalysis AgitansParkinsonParkinson DiseasePatternPedigreePhysiopathologyPopulationPopulation DatabasePrimary ParkinsonismPrimary Senile Degenerative DementiaProbabilistic ModelsProbabilityProbability ModelsProductionRecombinationRecordsRegulationReproductive CellsReproductive ProcessResearchRespiratory AspirationRespiratory InspirationRoleRunningSamplingSensitivity and SpecificitySex CellSlow-Onset Diabetes MellitusStable Diabetes MellitusStatistical ModelsSuicideSymptomsT2 DMT2DT2DMTestingTimeTransmissionType 2 Diabetes MellitusType 2 diabetesType II Diabetes MellitusType II diabetesUncertaintyUpdateUtahVariantVariationWalkingWorkadult onset diabetesaging associatedaging relatedalzheimer riskasexualcausationdevelopmentaldiabetesdisease causationdoubtfatal attemptfatal suicidegenetic pedigreehuman diseaseinitial cellinsightinspirationintent to dieinterestintergenerationalketosis resistant diabetesknowledge baseliving systemmaturity onset diabetesmeioticmitochondrialmitochondrial dysfunctionmitochondrial genomemtDNAnext generationnoveloffspringpathophysiologypedigree structureprimary degenerative dementiasegregationsenile dementia of the Alzheimer typesexual cellsocial rolestatistical linear mixed modelsstatistical linear modelssuicidestransmission processtype 2 DMtype II DMtype two diabetesvirtual
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Full Description

ABSTRACT
Mitochondria are bacteria-like organelles with their own DNA (mtDNA). They reside in our cellular

cytoplasm, and provide nearly all of the energy we use to sustain life. It thus stands to reason that

inherited mtDNA dysfunction is an important element of diseases characterized by low energy. The

field has yet to broadly examine this hypothesis, however, in large part because the biometric or

family models we use to estimate the effects of nuclear DNA are totally incompatible with the study of

mtDNA due to its unique characteristics and pattern of inheritance (e.g., mtDNA reproduces itself

asexually and is transmitted directly down the maternal line). The current R01 seeks to develop,

validate, and test a model that leverages this singular pattern of mtDNA inheritance to estimate the

proportions of variance accounted for by variation in mtDNA (mt2). We suspect that cousins will be a

particularly informative set of relatives in this regard. Matrilineal cousins, including very distant ones,

share virtually all of their mtDNA. Patrilineal cousins, by contrast, do not typically share mtDNA. We

will exploit this difference in the maternal and paternal lines to estimate mt2. Once developed and

validated, we will run this model in a sample of ~4.8 million individuals in multigenerational pedigrees

4 to 17 generations deep, which have been linked to annually updated medical and vital records that

have arisen over the last 25 years. Analyses will focus on Alzheimer's Disease (AD) and other key

aging outcomes (diabetes, suicide, Parkinson's Disease, and longevity). In this way, the proposed

R01 should not only yield critical new insights into the origins of AD and related conditions of aging,

but will also develop novel methods to establish much needed Bayesian `priors' to guide future

research in the role of mtDNA.

Grant Number: 4R01AG073189-02
NIH Institute/Center: NIH

Principal Investigator: S. Alexandra Burt

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