<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>16(1)</volume><submitter>Jonsdottir AB</submitter><pubmed_abstract>Obesity is associated with adverse effects on health and quality of life. Improved understanding of its underlying pathophysiology is essential for developing counteractive measures. To search for sequence variants with large effects on BMI, we perform a multi-ancestry meta-analysis of 13 genome-wide association studies on BMI, including data derived from 1,534,555 individuals of European ancestry, 339,657 of Asian ancestry, and 130,968 of African ancestry. We identify an intergenic 262,760 base pair deletion at the MC4R locus that associates with 4.11 kg/m&lt;sup>2&lt;/sup> higher BMI per allele, likely through downregulation of MC4R. Moreover, a rare FRS3 missense variant, p.Glu115Lys, only found in individuals from Finland, associates with 1.09 kg/m&lt;sup>2&lt;/sup> lower BMI per allele. We also d</pubmed_abstract><journal>Nature communications</journal><pagination>2694</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC11937519</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Missense variants in FRS3 affect body mass index in populations of diverse ancestries.</pubmed_title><pmcid>PMC11937519</pmcid><pubmed_authors>Magnusson OT</pubmed_authors><pubmed_authors>Bundgaard H</pubmed_authors><pubmed_authors>Sigurdsson A</pubmed_authors><pubmed_authors>Thorleifsson G</pubmed_authors><pubmed_authors>Stefansson K</pubmed_authors><pubmed_authors>Iversen KK</pubmed_authors><pubmed_authors>Sigurdsson EL</pubmed_authors><pubmed_authors>Tragante V</pubmed_authors><pubmed_authors>Einarsson G</pubmed_authors><pubmed_authors>Stefansson H</pubmed_authors><pubmed_authors>Brunak S</pubmed_authors><pubmed_authors>Thorisson GA</pubmed_authors><pubmed_authors>Sorensen E</pubmed_authors><pubmed_authors>Nadauld LD</pubmed_authors><pubmed_authors>Helgason A</pubmed_authors><pubmed_authors>Beyter D</pubmed_authors><pubmed_authors>Jonsdottir AB</pubmed_authors><pubmed_authors>Norddahl GL</pubmed_authors><pubmed_authors>Eggertsson HP</pubmed_authors><pubmed_authors>Tamlander M</pubmed_authors><pubmed_authors>Oddsson A</pubmed_authors><pubmed_authors>Ghouse J</pubmed_authors><pubmed_authors>Fridriksdottir R</pubmed_authors><pubmed_authors>Larusdottir AE</pubmed_authors><pubmed_authors>Olason PI</pubmed_authors><pubmed_authors>Ivarsdottir EV</pubmed_authors><pubmed_authors>Ullum H</pubmed_authors><pubmed_authors>Gretarsdottir S</pubmed_authors><pubmed_authors>Thorolfsdottir RB</pubmed_authors><pubmed_authors>Kristmundsdottir S</pubmed_authors><pubmed_authors>Holm H</pubmed_authors><pubmed_authors>Jensen BA</pubmed_authors><pubmed_authors>Thorsteinsdottir U</pubmed_authors><pubmed_authors>Bjornsdottir G</pubmed_authors><pubmed_authors>Erikstrup C</pubmed_authors><pubmed_authors>Ulfarsson MO</pubmed_authors><pubmed_authors>Topholm Bruun M</pubmed_authors><pubmed_authors>Halldorsson BV</pubmed_authors><pubmed_authors>Ripatti S</pubmed_authors><pubmed_authors>Steinthorsdottir V</pubmed_authors><pubmed_authors>Rognvaldsson S</pubmed_authors><pubmed_authors>Arnar DO</pubmed_authors><pubmed_authors>Knight S</pubmed_authors><pubmed_authors>Walters GB</pubmed_authors><pubmed_authors>Styrkarsdottir U</pubmed_authors><pubmed_authors>Jonsdottir I</pubmed_authors><pubmed_authors>Sveinbjornsson G</pubmed_authors><pubmed_authors>Bjarnason RG</pubmed_authors><pubmed_authors>Halldorsson GH</pubmed_authors><pubmed_authors>Mikkelsen C</pubmed_authors><pubmed_authors>Banasik K</pubmed_authors><pubmed_authors>Olafsdottir T</pubmed_authors><pubmed_authors>Aegisdottir HM</pubmed_authors><pubmed_authors>Moore KHS</pubmed_authors><pubmed_authors>Holm PC</pubmed_authors><pubmed_authors>Thorgeirsson TE</pubmed_authors><pubmed_authors>Masson G</pubmed_authors><pubmed_authors>Sturluson A</pubmed_authors><pubmed_authors>DBDS Genomic Consortium</pubmed_authors><pubmed_authors>Helgadottir A</pubmed_authors><pubmed_authors>Steingrimsdottir T</pubmed_authors><pubmed_authors>Vikingsson A</pubmed_authors><pubmed_authors>Schwinn M</pubmed_authors><pubmed_authors>Sulem P</pubmed_authors><pubmed_authors>Dowsett J</pubmed_authors><pubmed_authors>Knowlton KU</pubmed_authors><pubmed_authors>Ostrowski SR</pubmed_authors><pubmed_authors>Hansen T</pubmed_authors><pubmed_authors>Einarsson E</pubmed_authors><pubmed_authors>Skaftason A</pubmed_authors><pubmed_authors>Teitsdottir UD</pubmed_authors><pubmed_authors>Melsted P</pubmed_authors><pubmed_authors>Gudbjartsson DF</pubmed_authors><pubmed_authors>Pedersen OB</pubmed_authors><pubmed_authors>Palsson F</pubmed_authors><pubmed_authors>Stefansdottir L</pubmed_authors></additional><is_claimable>false</is_claimable><name>Missense variants in FRS3 affect body mass index in populations of diverse ancestries.</name><description>Obesity is associated with adverse effects on health and quality of life. Improved understanding of its underlying pathophysiology is essential for developing counteractive measures. To search for sequence variants with large effects on BMI, we perform a multi-ancestry meta-analysis of 13 genome-wide association studies on BMI, including data derived from 1,534,555 individuals of European ancestry, 339,657 of Asian ancestry, and 130,968 of African ancestry. We identify an intergenic 262,760 base pair deletion at the MC4R locus that associates with 4.11 kg/m&lt;sup>2&lt;/sup> higher BMI per allele, likely through downregulation of MC4R. Moreover, a rare FRS3 missense variant, p.Glu115Lys, only found in individuals from Finland, associates with 1.09 kg/m&lt;sup>2&lt;/sup> lower BMI per allele. We also d</description><dates><release>2025-01-01T00:00:00Z</release><publication>2025 Mar</publication><modification>2026-06-01T10:14:48.799Z</modification><creation>2025-07-13T03:04:46.132Z</creation></dates><accession>S-EPMC11937519</accession><cross_references><pubmed>40133257</pubmed><doi>10.1038/s41467-025-57753-2</doi></cross_references></HashMap>