0000000000384766

AUTHOR

Mark J. Adams

showing 3 related works from this author

Trans-ancestral GWAS of alcohol dependence reveals common genetic underpinnings with psychiatric disorders

2018

AbstractLiability to alcohol dependence (AD) is heritable, but little is known about its complex polygenic architecture or its genetic relationship with other disorders. To discover loci associated with AD and characterize the relationship between AD and other psychiatric and behavioral outcomes, we carried out the largest GWAS to date of DSM - IV diagnosed AD. Genome - wide data on 14,904 individuals with AD and 37,944 controls from 28 case / control and family - based studies were meta - analyzed, stratified by genetic ancestry (European, N = 46,568; African; N = 6,280). Independent, genome - wide significant effects of different ADH1B variants were identified in European (rs1229984; p = …

0303 health sciencesmedicine.medical_specialtybiologyGenetic genealogyAlcohol dependenceADH1BGenome-wide association studybiology.organism_classificationmedicine.diseaseGenetic correlation3. Good health03 medical and health sciences0302 clinical medicineSchizophreniamedicineCannabisPsychiatry030217 neurology & neurosurgeryDepression (differential diagnoses)030304 developmental biology
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Applying polygenic risk scoring for psychiatric disorders to a large family with bipolar disorder and major depressive disorder

2018

Psychiatric disorders are thought to have a complex genetic pathology consisting of interplay of common and rare variation. Traditionally, pedigrees are used to shed light on the latter only, while here we discuss the application of polygenic risk scores to also highlight patterns of common genetic risk. We analyze polygenic risk scores for psychiatric disorders in a large pedigree (n ~ 260) in which 30% of family members suffer from major depressive disorder or bipolar disorder. Studying patterns of assortative mating and anticipation, it appears increased polygenic risk is contributed by affected individuals who married into the family, resulting in an increasing genetic risk over generat…

Netherlands Twin Register (NTR)0301 basic medicineMajor Depressive Disorder and Bipolar Disorder Working Groups of the Psychiatric Genomics ConsortiumBipolar DisorderSAMPLEMedicine (miscellaneous)Pedigree chartDisease0302 clinical medicineSCHIZOPHRENIA2.1 Biological and endogenous factorsMedicineAetiologyANTICIPATIONlcsh:QH301-705.5Psychiatry0303 health sciencesDepressionASSOCIATIONSerious Mental IllnessPeer reviewMental HealthSchizophrenia/dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_beingMajor depressive disorderGeneral Agricultural and Biological SciencesEngineering sciences. Technologymedicine.medical_specialtyContext (language use)ArticlePsykiatriGeneral Biochemistry Genetics and Molecular Biology03 medical and health sciencesAGESDG 3 - Good Health and Well-beingddc:570Behavioral and Social Science/dk/atira/pure/keywords/cohort_studies/netherlands_twin_register_ntr_GeneticsPLINKGenetic TestingBipolar disorderPsychiatryBiology030304 developmental biologybusiness.industryPreventionHuman GenomeAssortative matingmedicine.diseaseBrain Disorders030104 developmental biologyMoodlcsh:Biology (General)Mood disordersAnticipation (genetics)ONSETHuman medicinebusiness030217 neurology & neurosurgery
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International perspectives on radiology practice metrics: Australia, France, Germany, Japan, New Zealand, Spain, the UK and USA.

2014

INTRODUCTION The delivery of health care around the world is remarkably diverse in 2015. A comparison of the approximately 200 national entities on the planet reveals marked differences in national measures, both on the input side, such as health care spending, and in outcomes, such as life span. Using the percentage of gross domestic product as a metric for comparing health care spending, the current variation among nations is almost an order of magnitude, from the Marshall Islands and the United States at close to 20% to Myanmar at about 2% [1]. Outcomes are also highly variable, with an almost 2-fold difference in life span between the best and worst nations [2]. Within the nations repre…

Economic growthInternationalityMEDLINEWorkloadGross domestic productJapanPolitical scienceGermanySurveys and QuestionnairesHealth carePractice Management MedicalHumansRadiology Nuclear Medicine and imagingMedical systemsLife spanbusiness.industrySalaries and Fringe BenefitsLiabilityAustraliaInsurance LiabilityWork (electrical)SpainMeasure outcomesOptometryFrancebusinessRadiologyNew ZealandSpecializationJournal of the American College of Radiology : JACR
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