학술논문

Protein-altering variants associated with body mass index implicate pathways that control energy intake and expenditure in obesity
Document Type
article
Author
Turcot, ValérieLu, YingchangHighland, Heather MSchurmann, ClaudiaJustice, Anne EFine, Rebecca SBradfield, Jonathan PEsko, TõnuGiri, AyushGraff, MariaelisaGuo, XiuqingHendricks, Audrey EKaraderi, TugceLempradl, AdelheidLocke, Adam EMahajan, AnubhaMarouli, EiriniSivapalaratnam, SutheshYoung, Kristin LAlfred, TamunoFeitosa, Mary FMasca, Nicholas GDManning, Alisa KMedina-Gomez, CarolinaMudgal, PoorvaNg, Maggie CYReiner, Alex PVedantam, SailajaWillems, Sara MWinkler, Thomas WAbecasis, GonçaloAben, Katja KAlam, Dewan SAlharthi, Sameer EAllison, MatthewAmouyel, PhilippeAsselbergs, Folkert WAuer, Paul LBalkau, BeverleyBang, Lia EBarroso, InêsBastarache, LisaBenn, MarianneBergmann, SvenBielak, Lawrence FBlüher, MatthiasBoehnke, MichaelBoeing, HeinerBoerwinkle, EricBöger, Carsten ABork-Jensen, JetteBots, Michiel LBottinger, Erwin PBowden, Donald WBrandslund, IvanBreen, GeromeBrilliant, Murray HBroer, LindaBrumat, MarcoBurt, Amber AButterworth, Adam SCampbell, Peter TCappellani, StefaniaCarey, David JCatamo, EulaliaCaulfield, Mark JChambers, John CChasman, Daniel IChen, Yii-Der IChowdhury, RajivChristensen, CramerChu, Audrey YCocca, MassimilianoCollins, Francis SCook, James PCorley, JanieCorominas Galbany, JordiCox, Amanda JCrosslin, David SCuellar-Partida, GabrielD’Eustacchio, AngelaDanesh, JohnDavies, GailBakker, Paul IWGroot, Mark CHMutsert, RenéeDeary, Ian JDedoussis, GeorgeDemerath, Ellen WHeijer, MartinHollander, Anneke IRuijter, Hester MDennis, Joe GDenny, Josh CDi Angelantonio, EmanueleDrenos, FotiosDu, MengmengDubé, Marie-PierreDunning, Alison MEaston, Douglas F
Source
Nature Genetics. 50(1)
Subject
Genetics
Biotechnology
Nutrition
Obesity
Human Genome
Aetiology
2.1 Biological and endogenous factors
Cancer
Stroke
Metabolic and endocrine
Cardiovascular
Oral and gastrointestinal
Adult
Animals
Body Mass Index
Drosophila
Energy Intake
Energy Metabolism
Female
Gene Frequency
Genetic Variation
Humans
Male
Proteins
Syndrome
CHD Exome+ Consortium
EPIC-CVD Consortium
ExomeBP Consortium
Global Lipids Genetic Consortium
GoT2D Genes Consortium
EPIC InterAct Consortium
INTERVAL Study
ReproGen Consortium
T2D-Genes Consortium
MAGIC Investigators
Understanding Society Scientific Group
Biological Sciences
Medical and Health Sciences
Developmental Biology
Language
Abstract
Genome-wide association studies (GWAS) have identified >250 loci for body mass index (BMI), implicating pathways related to neuronal biology. Most GWAS loci represent clusters of common, noncoding variants from which pinpointing causal genes remains challenging. Here we combined data from 718,734 individuals to discover rare and low-frequency (minor allele frequency (MAF) < 5%) coding variants associated with BMI. We identified 14 coding variants in 13 genes, of which 8 variants were in genes (ZBTB7B, ACHE, RAPGEF3, RAB21, ZFHX3, ENTPD6, ZFR2 and ZNF169) newly implicated in human obesity, 2 variants were in genes (MC4R and KSR2) previously observed to be mutated in extreme obesity and 2 variants were in GIPR. The effect sizes of rare variants are ~10 times larger than those of common variants, with the largest effect observed in carriers of an MC4R mutation introducing a stop codon (p.Tyr35Ter, MAF = 0.01%), who weighed ~7 kg more than non-carriers. Pathway analyses based on the variants associated with BMI confirm enrichment of neuronal genes and provide new evidence for adipocyte and energy expenditure biology, widening the potential of genetically supported therapeutic targets in obesity.