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Machine learning drives genetic discovery for binge eating disorder
by
Derks, Eske M.
, Thorp, Jackson G.
, Gerring, Zachary F.
in
631/208/205/2138
/ 692/699/476
/ Agriculture
/ Animal Genetics and Genomics
/ Basal ganglia
/ Binge eating
/ Biomedical and Life Sciences
/ Biomedicine
/ Body mass index
/ Cancer Research
/ Catecholamine
/ Catecholamines
/ Circuits
/ Comorbidity
/ Damage accumulation
/ Eating behavior
/ Eating disorders
/ Electronic health records
/ Electronic medical records
/ Ferritin
/ Ganglia
/ Gene Function
/ Genes
/ Genetic diversity
/ Genetic variance
/ Genome-wide association studies
/ Genomes
/ Genotype & phenotype
/ Human Genetics
/ Iron
/ Machine learning
/ Mental disorders
/ Metabolism
/ Myelination
/ News & Views
/ news-and-views
/ Psychiatry
/ Risk factors
2023
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Machine learning drives genetic discovery for binge eating disorder
by
Derks, Eske M.
, Thorp, Jackson G.
, Gerring, Zachary F.
in
631/208/205/2138
/ 692/699/476
/ Agriculture
/ Animal Genetics and Genomics
/ Basal ganglia
/ Binge eating
/ Biomedical and Life Sciences
/ Biomedicine
/ Body mass index
/ Cancer Research
/ Catecholamine
/ Catecholamines
/ Circuits
/ Comorbidity
/ Damage accumulation
/ Eating behavior
/ Eating disorders
/ Electronic health records
/ Electronic medical records
/ Ferritin
/ Ganglia
/ Gene Function
/ Genes
/ Genetic diversity
/ Genetic variance
/ Genome-wide association studies
/ Genomes
/ Genotype & phenotype
/ Human Genetics
/ Iron
/ Machine learning
/ Mental disorders
/ Metabolism
/ Myelination
/ News & Views
/ news-and-views
/ Psychiatry
/ Risk factors
2023
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Do you wish to request the book?
Machine learning drives genetic discovery for binge eating disorder
by
Derks, Eske M.
, Thorp, Jackson G.
, Gerring, Zachary F.
in
631/208/205/2138
/ 692/699/476
/ Agriculture
/ Animal Genetics and Genomics
/ Basal ganglia
/ Binge eating
/ Biomedical and Life Sciences
/ Biomedicine
/ Body mass index
/ Cancer Research
/ Catecholamine
/ Catecholamines
/ Circuits
/ Comorbidity
/ Damage accumulation
/ Eating behavior
/ Eating disorders
/ Electronic health records
/ Electronic medical records
/ Ferritin
/ Ganglia
/ Gene Function
/ Genes
/ Genetic diversity
/ Genetic variance
/ Genome-wide association studies
/ Genomes
/ Genotype & phenotype
/ Human Genetics
/ Iron
/ Machine learning
/ Mental disorders
/ Metabolism
/ Myelination
/ News & Views
/ news-and-views
/ Psychiatry
/ Risk factors
2023
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Machine learning drives genetic discovery for binge eating disorder
Journal Article
Machine learning drives genetic discovery for binge eating disorder
2023
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Overview
Identifying genetic risk factors for binge-eating disorder (BED) is vital to understand its etiology and develop effective prevention and intervention strategies. To overcome under-reporting of clinical BED diagnosis, a new study uses machine learning to identify genetic variants associated with quantitative BED risk scores and finds evidence for a pathological role of heme metabolism.
Publisher
Nature Publishing Group US,Nature Publishing Group
Subject
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