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
Scopus SNIP
Web of Science
Times Cited
Scopus
Cited By
Altmetric
Publication type
Article: Journal article
Document type
Scientific Article
Thesis type
Editors
Keywords
Genome-wide Association; Plasma Leptin; Obesity; Loci; Rare; Variants; Metaanalysis; Expenditure; Homeostasis; Deficiency
Keywords plus
Language
english
Publication Year
2020
Prepublished in Year
HGF-reported in Year
2020
ISSN (print) / ISBN
0012-1797
e-ISSN
1939-327X
ISBN
Book Volume Title
Conference Title
Conference Date
Conference Location
Proceedings Title
Quellenangaben
Volume: 69,
Issue: 12,
Pages: 2806-2818
Article Number: ,
Supplement: ,
Series
Publisher
American Diabetes Association
Publishing Place
Alexandria, VA.
Day of Oral Examination
0000-00-00
Advisor
Referee
Examiner
Topic
University
University place
Faculty
Publication date
0000-00-00
Application date
0000-00-00
Patent owner
Further owners
Application country
Patent priority
Reviewing status
Peer reviewed
POF-Topic(s)
30202 - Environmental Health
30501 - Systemic Analysis of Genetic and Environmental Factors that Impact Health
Research field(s)
Genetics and Epidemiology
PSP Element(s)
G-504091-002
G-504100-001
Grants
NHGRI NIH
Johnson Johnson
National Institute on Aging, National Institutes of Health
Data Tecnica International
Copyright
Erfassungsdatum
2020-12-16