Genome wide association study identifies KCNMA1 contributing to human obesity

Research output: Contribution to journalJournal articleResearchpeer-review

Hong Jiao, Peter Arner, Johan Hoffstedt, David Brodin, Beatrice Dubern, Sébastien Czernichow, Ferdinand van't Hooft, Tomas Axelsson, Oluf Pedersen, Torben Hansen, Thorkild I A Sørensen, Johannes Hebebrand, Juha Kere, Karin Dahlman-Wright, Anders Hamsten, Karine Clement, Ingrid Dahlman

Recent genome-wide association (GWA) analyses have identified common single nucleotide polymorphisms (SNPs) that are associated with obesity. However, the reported genetic variation in obesity explains only a minor fraction of the total genetic variation expected to be present in the population. Thus many genetic variants controlling obesity remain to be identified. The aim of this study was to use GWA followed by multiple stepwise validations to identify additional genes associated with obesity.
Original languageEnglish
JournalB M C Medical Genomics
Pages (from-to)51
Number of pages10
Publication statusPublished - 2011

    Research areas

  • Alleles, Body Mass Index, Case-Control Studies, Cohort Studies, Female, France, Genetic Predisposition to Disease, Genome, Human, Genome-Wide Association Study, Germany, Humans, Large-Conductance Calcium-Activated Potassium Channel alpha Subunits, Male, Middle Aged, Obesity, Morbid, Polymorphism, Single Nucleotide, Sweden

ID: 35314425