Genome-wide meta-analysis of macronutrient intake of 91,114 European ancestry participants from the cohorts for heart and aging research in genomic epidemiology consortium.
Ruth J F LoosHassan S DashtiSherly X LiChloé SarnowskiAnne E JusticeMisa GraffConstantina PapoutsakisCaren E SmithGeorge V DedoussisRozenn N LemaitreMary K WojczynskiSatu MännistöJulius S NgwaMinjung KhoTarunveer Singh AhluwaliaNatalia PervjakovaDenise K HoustonClaude BouchardTao HuangMarju Orho-MelanderAlexis C Frazier-WoodDennis O Mook-KanamoriLouis PerusseCraig E PennellPaul S de VriesTrudy G VoortmanOlivia LiStavroula KanoniLynda M RoseTerho LehtimäkiJing Hua ZhaoMary F FeitosaJian'an LuanNicola M McKeownJennifer A SmithTorben HansenNiina EklundMike A NallsTuomo RankinenJinyan HuangDena G HernandezChristina-Alexandra SchulzAni ManichaikulRuifang Li-GaoMarie-Claude VohlCarol A WangFrank J A van RooijJean ShinIoanna P KalafatiFelix R DayPaul M RidkerMika KähönenDavid S SiscovickClaudia LangenbergWei ZhaoArnie AstrupPaul KnektMelissa GarciaD C RaoQibin QiLuigi FerrucciUlrika EricsonJohn BlangeroAlbert HofmanZdenka PausovaVera MikkiläNick J WarehamSharon L R KardiaOluf PedersenAntti JulaJoanne E CurranM Carola ZillikensJorma S ViikariNita G ForouhiJosé M OrdovásJohn C LieskeHarri RissanenAndré G UitterlindenOlli T RaitakariJessica C Kiefte-de JongJosée DupuisJerome I RotterKari E NorthRobert A ScottMichael A ProvinceMarkus PerolaL Adrienne CupplesStephen T TurnerThorkild I A SørensenVeikko SalomaaYongmei LiuYun J SungLu QiStefania BandinelliStephen S RichRenée de MutsertAngelo TremblayWendy H OddyOscar H FrancoTomas PausJose C FlorezPanagiotis DeloukasLeo-Pekka LyytikainenDaniel I ChasmanAudrey Y ChuToshiko TanakaPublished in: Molecular psychiatry (2018)
Macronutrient intake, the proportion of calories consumed from carbohydrate, fat, and protein, is an important risk factor for metabolic diseases with significant familial aggregation. Previous studies have identified two genetic loci for macronutrient intake, but incomplete coverage of genetic variation and modest sample sizes have hindered the discovery of additional loci. Here, we expanded the genetic landscape of macronutrient intake, identifying 12 suggestively significant loci (P < 1 × 10-6) associated with intake of any macronutrient in 91,114 European ancestry participants. Four loci replicated and reached genome-wide significance in a combined meta-analysis including 123,659 European descent participants, unraveling two novel loci; a common variant in RARB locus for carbohydrate intake and a rare variant in DRAM1 locus for protein intake, and corroborating earlier FGF21 and FTO findings. In additional analysis of 144,770 participants from the UK Biobank, all identified associations from the two-stage analysis were confirmed except for DRAM1. Identified loci might have implications in brain and adipose tissue biology and have clinical impact in obesity-related phenotypes. Our findings provide new insight into biological functions related to macronutrient intake.
Keyphrases
- genome wide
- genome wide association study
- dna methylation
- weight gain
- systematic review
- adipose tissue
- copy number
- insulin resistance
- genome wide association
- gene expression
- metabolic syndrome
- randomized controlled trial
- body mass index
- atrial fibrillation
- early onset
- risk factors
- high fat diet
- blood brain barrier
- resting state
- brain injury
- subarachnoid hemorrhage
- weight loss
- case control
- cerebral ischemia