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Disentangling the genetics of lean mass

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dc.contributor.authorKarasik, D-
dc.contributor.authorZillikens, MC-
dc.contributor.authorHsu, YH-
dc.contributor.authorAghdassi, A-
dc.contributor.authorAkesson, K-
dc.contributor.authorAmin, N-
dc.contributor.authorBarroso, I-
dc.contributor.authorBennett, DA-
dc.contributor.authorBertram, L-
dc.contributor.authorBochud, M-
dc.contributor.authorBorecki, IB-
dc.contributor.authorBroer, L-
dc.contributor.authorBuchman, AS-
dc.contributor.authorByberg, L-
dc.contributor.authorCampbell, H-
dc.contributor.authorCampos-Obando, N-
dc.contributor.authorCauley, JA-
dc.contributor.authorCawthon, PM-
dc.contributor.authorChambers, JC-
dc.contributor.authorChen, Z-
dc.contributor.authorCho, NH-
dc.contributor.authorChoi, HJ-
dc.contributor.authorChou, WC-
dc.contributor.authorCummings, SR-
dc.contributor.authorde Groot, L-
dc.contributor.authorDe Jager, PL-
dc.contributor.authorDemuth, I-
dc.contributor.authorDiatchenko, L-
dc.contributor.authorEcons, MJ-
dc.contributor.authorEiriksdottir, G-
dc.contributor.authorEnneman, AW-
dc.contributor.authorEriksson, J-
dc.contributor.authorEriksson, JG-
dc.contributor.authorEstrada, K-
dc.contributor.authorEvans, DS-
dc.contributor.authorFeitosa, MF-
dc.contributor.authorFu, M-
dc.contributor.authorGieger, C-
dc.contributor.authorGrallert, H-
dc.contributor.authorGudnason, V-
dc.contributor.authorLenore, LJ-
dc.contributor.authorHayward, C-
dc.contributor.authorHofman, A-
dc.contributor.authorHomuth, G-
dc.contributor.authorHuffman, KM-
dc.contributor.authorHusted, LB-
dc.contributor.authorIllig, T-
dc.contributor.authorIngelsson, E-
dc.contributor.authorIttermann, T-
dc.contributor.authorJansson, JO-
dc.contributor.authorJohnson, T-
dc.contributor.authorBiffar, R-
dc.contributor.authorJordan, JM-
dc.contributor.authorJula, A-
dc.contributor.authorKarlsson, M-
dc.contributor.authorKhaw, KT-
dc.contributor.authorKilpelainen, TO-
dc.contributor.authorKlopp, N-
dc.contributor.authorKloth, JSL-
dc.contributor.authorKoller, DL-
dc.contributor.authorKooner, JS-
dc.contributor.authorKraus, WE-
dc.contributor.authorKritchevsky, S-
dc.contributor.authorKutalik, Z-
dc.contributor.authorKuulasmaa, T-
dc.contributor.authorKuusisto, J-
dc.contributor.authorLaakso, M-
dc.contributor.authorLahti, J-
dc.contributor.authorLang, T-
dc.contributor.authorLangdahl, BL-
dc.contributor.authorLerch, MM-
dc.contributor.authorLewis, JR-
dc.contributor.authorLill, C-
dc.contributor.authorLind, L-
dc.contributor.authorLindgren, C-
dc.contributor.authorLiu, Y-
dc.contributor.authorLivshits, G-
dc.contributor.authorLjunggren, O-
dc.contributor.authorLoos, RJF-
dc.contributor.authorLorentzon, M-
dc.contributor.authorLuan, J-
dc.contributor.authorLuben, RN-
dc.contributor.authorMalkin, I-
dc.contributor.authorMcGuigan, FE-
dc.contributor.authorMedina-Gomez, C-
dc.contributor.authorMeitinger, T-
dc.contributor.authorMelhus, H-
dc.contributor.authorMellstrom, D-
dc.contributor.authorMichaelsson, K-
dc.contributor.authorMitchell, BD-
dc.contributor.authorMorris, AP-
dc.contributor.authorMosekilde, L-
dc.contributor.authorNethander, M-
dc.contributor.authorNewman, AB-
dc.contributor.authorO'Connell, JR-
dc.contributor.authorOostra, BA-
dc.contributor.authorOrwoll, ES-
dc.contributor.authorPalotie, A-
dc.contributor.authorPeacock, M-
dc.contributor.authorPerola, M-
dc.contributor.authorPeters, A-
dc.contributor.authorPrince, RL-
dc.contributor.authorPsaty, B-
dc.date.accessioned2020-10-21T07:21:02Z-
dc.date.available2020-10-21T07:21:02Z-
dc.date.issued2019-
dc.identifier.issn0002-9165-
dc.identifier.urihttp://repository.ajou.ac.kr/handle/201003/18848-
dc.description.abstractBACKGROUND: Lean body mass (LM) plays an important role in mobility and metabolic function. We previously identified five loci associated with LM adjusted for fat mass in kilograms. Such an adjustment may reduce the power to identify genetic signals having an association with both lean mass and fat mass.
OBJECTIVES: To determine the impact of different fat mass adjustments on genetic architecture of LM and identify additional LM loci.
METHODS: We performed genome-wide association analyses for whole-body LM (20 cohorts of European ancestry with n = 38,292) measured using dual-energy X-ray absorptiometry) or bioelectrical impedance analysis, adjusted for sex, age, age2, and height with or without fat mass adjustments (Model 1 no fat adjustment: Model 2 adjustment for fat mass as a percentage of body mass: Model 3 adjustment for fat mass in kilograms).
RESULTS: Seven single-nucleotide polymorphisms (SNPs) in separate loci, including one novel LM locus (TNRC6B), were successfully replicated in an additional 47,227 individuals from 29 cohorts. Based on the strengths of the associations in Model 1 vs Model 3, we divided the LM loci into those with an effect on both lean mass and fat mass in the same direction and refer to those as "sumo wrestler" loci (FTO and MC4R). In contrast, loci with an impact specifically on LM were termed "body builder" loci (VCAN and ADAMTSL3). Using existing available genome-wide association study databases, LM increasing alleles of SNPs in sumo wrestler loci were associated with an adverse metabolic profile, whereas LM increasing alleles of SNPs in "body builder" loci were associated with metabolic protection.
CONCLUSIONS: In conclusion, we identified one novel LM locus (TNRC6B). Our results suggest that a genetically determined increase in lean mass might exert either harmful or protective effects on metabolic traits, depending on its relation to fat mass.
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dc.language.isoen-
dc.subject.MESHADAMTS Proteins-
dc.subject.MESHAbsorptiometry, Photon-
dc.subject.MESHAdipose Tissue-
dc.subject.MESHAdolescent-
dc.subject.MESHAdult-
dc.subject.MESHAged-
dc.subject.MESHAged, 80 and over-
dc.subject.MESHAlpha-Ketoglutarate-Dependent Dioxygenase FTO-
dc.subject.MESHBody Composition-
dc.subject.MESHBody Fluid Compartments-
dc.subject.MESHElectric Impedance-
dc.subject.MESHEuropean Continental Ancestry Group-
dc.subject.MESHExtracellular Matrix Proteins-
dc.subject.MESHFemale-
dc.subject.MESHGenome-Wide Association Study-
dc.subject.MESHHumans-
dc.subject.MESHMale-
dc.subject.MESHMiddle Aged-
dc.subject.MESHMuscle, Skeletal-
dc.subject.MESHPhenotype-
dc.subject.MESHPolymorphism, Single Nucleotide-
dc.subject.MESHRNA-Binding Proteins-
dc.subject.MESHReceptor, Melanocortin, Type 4-
dc.subject.MESHVersicans-
dc.subject.MESHYoung Adult-
dc.titleDisentangling the genetics of lean mass-
dc.typeArticle-
dc.identifier.pmid30721968-
dc.identifier.urlhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6500901/-
dc.subject.keywordbody composition-
dc.subject.keywordskeletal muscle-
dc.subject.keywordbody fat-
dc.subject.keywordmetaanalysis of genome-wide association studies-
dc.subject.keywordmetabolic profile-
dc.contributor.affiliatedAuthor조, 남한-
dc.type.localJournal Papers-
dc.identifier.doi10.1093/ajcn/nqy272-
dc.citation.titleThe American journal of clinical nutrition-
dc.citation.volume109-
dc.citation.number2-
dc.citation.date2019-
dc.citation.startPage276-
dc.citation.endPage287-
dc.identifier.bibliographicCitationThe American journal of clinical nutrition, 109(2). : 276-287, 2019-
dc.identifier.eissn1938-3207-
dc.relation.journalidJ000029165-
Appears in Collections:
Journal Papers > School of Medicine / Graduate School of Medicine > Preventive Medicine & Public Health
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