학술논문

Identification and functional characterization of G6PC2 coding variants influencing glycemic traits define an effector transcript at the G6PC2-ABCB11 locus.
Document Type
article
Author
Mahajan, AnubhaSim, XuelingNg, Hui JinManning, AlisaRivas, Manuel AHighland, Heather MLocke, Adam EGrarup, NielsIm, Hae KyungCingolani, PabloFlannick, JasonFontanillas, PierreFuchsberger, ChristianGaulton, Kyle JTeslovich, Tanya MRayner, N WilliamRobertson, Neil RBeer, Nicola LRundle, Jana KBork-Jensen, JetteLadenvall, ClaesBlancher, ChristineBuck, DavidBuck, GemmaBurtt, Noël PGabriel, StaceyGjesing, Anette PGroves, Christopher JHollensted, MetteHuyghe, Jeroen RJackson, Anne UJun, GooJustesen, Johanne MarieMangino, MassimoMurphy, JacquelynNeville, MattOnofrio, RobertSmall, Kerrin SStringham, Heather MSyvänen, Ann-ChristineTrakalo, JosephAbecasis, GoncaloBell, Graeme IBlangero, JohnCox, Nancy JDuggirala, RavindranathHanis, Craig LSeielstad, MarkWilson, James GChristensen, CramerBrandslund, IvanRauramaa, RainerSurdulescu, Gabriela LDoney, Alex SFLannfelt, LarsLinneberg, AllanIsomaa, BoTuomi, TiinamaijaJørgensen, Marit EJørgensen, TorbenKuusisto, JohannaUusitupa, MattiSalomaa, VeikkoSpector, Timothy DMorris, Andrew DPalmer, Colin NACollins, Francis SMohlke, Karen LBergman, Richard NIngelsson, ErikLind, LarsTuomilehto, JaakkoHansen, TorbenWatanabe, Richard MProkopenko, IngaDupuis, JoseeKarpe, FredrikGroop, LeifLaakso, MarkkuPedersen, OlufFlorez, Jose CMorris, Andrew PAltshuler, DavidMeigs, James BBoehnke, MichaelMcCarthy, Mark ILindgren, Cecilia MGloyn, Anna LT2D-GENES consortium and GoT2D consortium
Source
PLoS genetics. 11(1)
Subject
T2D-GENES consortium and GoT2D consortium
Humans
Diabetes Mellitus
Type 2
Insulin
Glucose-6-Phosphatase
Blood Glucose
Receptors
Glucagon
Glycemic Index
Gene Frequency
Polymorphism
Single Nucleotide
Genome-Wide Association Study
Exome
Glucagon-Like Peptide-1 Receptor
Diabetes Mellitus
Type 2
Receptors
Glucagon
Polymorphism
Single Nucleotide
Genetics
Developmental Biology
Language
Abstract
Genome wide association studies (GWAS) for fasting glucose (FG) and insulin (FI) have identified common variant signals which explain 4.8% and 1.2% of trait variance, respectively. It is hypothesized that low-frequency and rare variants could contribute substantially to unexplained genetic variance. To test this, we analyzed exome-array data from up to 33,231 non-diabetic individuals of European ancestry. We found exome-wide significant (P