Combining Human Genetics and Causal Inference to Understand Human Disease and Development

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Inhumangenetics,causalinferencemethodsleveragelargeomicsdatasetsandphenotypicinformationtodeciphervariouscause-and-effectrelationshipsinhumanhealthanddisease(e.g.,smokingandlungcancer).Thefocusofsuchworkistypicallyonmodifiablevariables(e.g.,behaviororenvironmentalexposure)thatimpactdiseaseonset,progression,andoutcome.Abetterunderstandingofthesevariablescanleadtointerventionsandtherapeuticsthathaveadesirableimpactonpublichealth.Writtenandeditedbyexpertsinthefield,thiscollectionfromColdSpringHarborPerspectivesinMedicineexaminesadvancesincausalinferenceapproachesinhumangeneticsandhowtheyarebeingusedtoenhanceourunderstandingofhumandevelopmentanddisease.Thecontributorsdiscussfamily-basedstudydesignsforcausalinference,includingtwindesigns,adoptiondesigns,andinvitrofertilizationdesigns,thatseparateinheritedfactorsfromperinatalenvironmentalexposures.TheyalsoreviewvarioustypesofMendelianrandomization--apopulation-basedapproachthatisgrowinginutilityandpopularity--aswellastheirintegrationwithfamily-baseddesigns.Theuseoftheseapproachestoinvestigatecausalmechanismsinspecificscenarios(e.g.,maternalsmokingduringpregnancyandADHDinoffspring)isalsocovered.Thisvolumeisthereforeanessentialreadforgeneticists,epidemiologists,andallbiomedicalscientistsandpublichealthprofessionalsdedicatedtousinggeneticinformationtoimprovehumanhealth.


epidemiologists DEVELOPMENT DISEASE HUMAN