Yaghootkar, H.* ; Zhang, Y.* ; Spracklen, C.N.* ; Karaderi, T.* ; Huang, L.O.* ; Bradfield, J.P.* ; Schurmann, C.* ; Fine, R.S.* ; Preuss, M.H.* ; Kutalik, Z.* ; Wittemans, L.B.L.* ; Lu, Y.* ; Metz, S.* ; Willems, S.M.* ; Li-Gao, R.* ; Grarup, N.* ; Wang, S.* ; Molnos, S. ; Sandoval-Zárate, A.A.* ; Nalls, M.A.* ; Lange, L.A.* ; Haesser, J.* ; Guo, X.* ; Lyytikäinen, L.P.* ; Feitosa, M.F.* ; Sitlani, C.M.* ; Venturini, C.* ; Mahajan, A.* ; Kacprowski, T.* ; Wang, C.A.* ; Chasman, D.I.* ; Amin, N.* ; Broer, L.* ; Robertson, N.* ; Young, K.L.* ; Allison, M.* ; Auer, P.L.* ; Blüher, M.* ; Borja, J.B.* ; Bork-Jensen, J.* ; Carrasquilla, G.D.* ; Christofidou, P.* ; Demirkan, A.* ; Doege, C.A.* ; Garcia, M.E.* ; Graff, M.* ; Guo, K.* ; Hakonarson, H.* ; Hong, J.* ; Chen, Y.D.I.* ; Jackson, R.* ; Jakupović, H.* ; Jousilahti, P.* ; Justice, A.E.* ; Kähönen, M.* ; Kizer, J.R.* ; Kriebel, J. ; LeDuc, C.A.* ; Li, J.* ; Lind, L.* ; Luan, J.* ; Mackey, D.A.* ; Mangino, M.* ; Männistö, S.* ; Carli, J.F.M.* ; Medina-Gomez, C.* ; Mook-Kanamori, D.O.* ; Morris, A.P.* ; de Mutsert, R.* ; Nauck, M.* ; Prokic, I.* ; Pennell, C.E.* ; Pradhan, A.D.* ; Psaty, B.M.* ; Raitakari, O.T.* ; Scott, R.A.* ; Skaaby, T.* ; Strauch, K. ; Taylor, K.D.* ; Teumer, A.* ; Uitterlinden, A.G.* ; Wu, Y.* ; Yao, J.* ; Walker, M.* ; North, K.E.* ; Kovacs, P.* ; Ikram, M.A.* ; van Duijn, C.M.* ; Ridker, P.M.* ; Lye, S.J.* ; Homuth, G.* ; Ingelsson, E.* ; Spector, T.D.* ; McKnight, B.* ; Province, M.A.* ; Lehtimäki, T.* ; Adair, L.S.* ; Rotter, J.I.* ; Reiner, A.P.* ; Wilson, J.G.* ; Harris, T.B.* ; Ripatti, S* ; Grallert, H. ; Meigs, J.B* ; Salomaa, V.* ; Hansen, T.* ; van Dijk, K.W.* ; Wareham, N.J.* ; Grant, S.F.A.* ; Langenberg, C.* ; Frayling, T.M.* ; Lindgren, C.M.* ; Mohlke, K.L.* ; Leibel, R.L.* ; Loos, R.J.F.* ; Kilpeläinen, T.O.*
Genetic studies of leptin concentrations implicate leptin in the regulation of early adiposity.
Diabetes 69, 2806-2818 (2020)
Leptin influences food intake by informing the brain about the status of body fat stores. Rare LEP mutations associated with congenital leptin deficiency cause severe early-onset obesity that can be mitigated by admin-istering leptin. However, the role of genetic regulation of leptin in polygenic obesity remains poorly understood. We performed an exome-based analysis in up to 57,232 individuals of diverse ancestries to identify genetic variants that influence adiposity-adjusted leptin concen-trations. We identify five novel variants, including four missense variants, in LEP, ZNF800, KLHL31, and ACTL9, and one intergenic variant near KLF14. The missense variant Val94Met (rs17151919) in LEP was common in individuals of African ancestry only, and its association with lower leptin concentrations was specific to this ancestry (P = 2 × 10-16, n = 3,901). Using in vitro analyses, we show that the Met94 allele decreases leptin secretion. We also show that the Met94 allele is associated with higher BMI in young African-ancestry children but not in adults, suggesting that leptin regulates early adiposity.
Impact Factor
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Times Cited
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Publikationstyp
Artikel: Journalartikel
Dokumenttyp
Wissenschaftlicher Artikel
Typ der Hochschulschrift
Herausgeber
Schlagwörter
Genome-wide Association; Plasma Leptin; Obesity; Loci; Rare; Variants; Metaanalysis; Expenditure; Homeostasis; Deficiency
Keywords plus
Sprache
englisch
Veröffentlichungsjahr
2020
Prepublished im Jahr
HGF-Berichtsjahr
2020
ISSN (print) / ISBN
0012-1797
e-ISSN
1939-327X
ISBN
Bandtitel
Konferenztitel
Konferzenzdatum
Konferenzort
Konferenzband
Quellenangaben
Band: 69,
Heft: 12,
Seiten: 2806-2818
Artikelnummer: ,
Supplement: ,
Reihe
Verlag
American Diabetes Association
Verlagsort
Alexandria, VA.
Tag d. mündl. Prüfung
0000-00-00
Betreuer
Gutachter
Prüfer
Topic
Hochschule
Hochschulort
Fakultät
Veröffentlichungsdatum
0000-00-00
Anmeldedatum
0000-00-00
Anmelder/Inhaber
weitere Inhaber
Anmeldeland
Priorität
Begutachtungsstatus
Peer reviewed
POF Topic(s)
30202 - Environmental Health
30501 - Systemic Analysis of Genetic and Environmental Factors that Impact Health
Forschungsfeld(er)
Genetics and Epidemiology
PSP-Element(e)
G-504091-002
G-504100-001
Förderungen
NHGRI NIH
Johnson Johnson
National Institute on Aging, National Institutes of Health
Data Tecnica International
Copyright
Erfassungsdatum
2020-12-16