Teumer A

References (3)

Title : Protein-altering variants associated with body mass index implicate pathways that control energy intake and expenditure in obesity - Turcot_2018_Nat.Genet_50_26
Author(s) : Turcot V , Lu Y , Highland HM , Schurmann C , Justice AE , Fine RS , Bradfield JP , Esko T , Giri A , Graff M , Guo X , Hendricks AE , Karaderi T , Lempradl A , Locke AE , Mahajan A , Marouli E , Sivapalaratnam S , Young KL , Alfred T , Feitosa MF , Masca NGD , Manning AK , Medina-Gomez C , Mudgal P , Ng MCY , Reiner AP , Vedantam S , Willems SM , Winkler TW , Abecasis G , Aben KK , Alam DS , Alharthi SE , Allison M , Amouyel P , Asselbergs FW , Auer PL , Balkau B , Bang LE , Barroso I , Bastarache L , Benn M , Bergmann S , Bielak LF , Bluher M , Boehnke M , Boeing H , Boerwinkle E , Boger CA , Bork-Jensen J , Bots ML , Bottinger EP , Bowden DW , Brandslund I , Breen G , Brilliant MH , Broer L , Brumat M , Burt AA , Butterworth AS , Campbell PT , Cappellani S , Carey DJ , Catamo E , Caulfield MJ , Chambers JC , Chasman DI , Chen YI , Chowdhury R , Christensen C , Chu AY , Cocca M , Collins FS , Cook JP , Corley J , Corominas Galbany J , Cox AJ , Crosslin DS , Cuellar-Partida G , D'Eustacchio A , Danesh J , Davies G , Bakker PIW , Groot MCH , Mutsert R , Deary IJ , Dedoussis G , Demerath EW , Heijer M , Hollander AI , Ruijter HM , Dennis JG , Denny JC , Angelantonio E , Drenos F , Du M , Dube MP , Dunning AM , Easton DF , Edwards TL , Ellinghaus D , Ellinor PT , Elliott P , Evangelou E , Farmaki AE , Farooqi IS , Faul JD , Fauser S , Feng S , Ferrannini E , Ferrieres J , Florez JC , Ford I , Fornage M , Franco OH , Franke A , Franks PW , Friedrich N , Frikke-Schmidt R , Galesloot TE , Gan W , Gandin I , Gasparini P , Gibson J , Giedraitis V , Gjesing AP , Gordon-Larsen P , Gorski M , Grabe HJ , Grant SFA , Grarup N , Griffiths HL , Grove ML , Gudnason V , Gustafsson S , Haessler J , Hakonarson H , Hammerschlag AR , Hansen T , Harris KM , Harris TB , Hattersley AT , Have CT , Hayward C , He L , Heard-Costa NL , Heath AC , Heid IM , Helgeland O , Hernesniemi J , Hewitt AW , Holmen OL , Hovingh GK , Howson JMM , Hu Y , Huang PL , Huffman JE , Ikram MA , Ingelsson E , Jackson AU , Jansson JH , Jarvik GP , Jensen GB , Jia Y , Johansson S , Jorgensen ME , Jorgensen T , Jukema JW , Kahali B , Kahn RS , Kahonen M , Kamstrup PR , Kanoni S , Kaprio J , Karaleftheri M , Kardia SLR , Karpe F , Kathiresan S , Kee F , Kiemeney LA , Kim E , Kitajima H , Komulainen P , Kooner JS , Kooperberg C , Korhonen T , Kovacs P , Kuivaniemi H , Kutalik Z , Kuulasmaa K , Kuusisto J , Laakso M , Lakka TA , Lamparter D , Lange EM , Lange LA , Langenberg C , Larson EB , Lee NR , Lehtimaki T , Lewis CE , Li H , Li J , Li-Gao R , Lin H , Lin KH , Lin LA , Lin X , Lind L , Lindstrom J , Linneberg A , Liu CT , Liu DJ , Liu Y , Lo KS , Lophatananon A , Lotery AJ , Loukola A , Luan J , Lubitz SA , Lyytikainen LP , Mannisto S , Marenne G , Mazul AL , McCarthy MI , McKean-Cowdin R , Medland SE , Meidtner K , Milani L , Mistry V , Mitchell P , Mohlke KL , Moilanen L , Moitry M , Montgomery GW , Mook-Kanamori DO , Moore C , Mori TA , Morris AD , Morris AP , Muller-Nurasyid M , Munroe PB , Nalls MA , Narisu N , Nelson CP , Neville M , Nielsen SF , Nikus K , Njolstad PR , Nordestgaard BG , Nyholt DR , O'Connel JR , O'Donoghue ML , Olde Loohuis LM , Ophoff RA , Owen KR , Packard CJ , Padmanabhan S , Palmer CNA , Palmer ND , Pasterkamp G , Patel AP , Pattie A , Pedersen O , Peissig PL , Peloso GM , Pennell CE , Perola M , Perry JA , Perry JRB , Pers TH , Person TN , Peters A , Petersen ERB , Peyser PA , Pirie A , Polasek O , Polderman TJ , Puolijoki H , Raitakari OT , Rasheed A , Rauramaa R , Reilly DF , Renstrom F , Rheinberger M , Ridker PM , Rioux JD , Rivas MA , Roberts DJ , Robertson NR , Robino A , Rolandsson O , Rudan I , Ruth KS , Saleheen D , Salomaa V , Samani NJ , Sapkota Y , Sattar N , Schoen RE , Schreiner PJ , Schulze MB , Scott RA , Segura-Lepe MP , Shah SH , Sheu WH , Sim X , Slater AJ , Small KS , Smith AV , Southam L , Spector TD , Speliotes EK , Starr JM , Stefansson K , Steinthorsdottir V , Stirrups KE , Strauch K , Stringham HM , Stumvoll M , Sun L , Surendran P , Swift AJ , Tada H , Tansey KE , Tardif JC , Taylor KD , Teumer A , Thompson DJ , Thorleifsson G , Thorsteinsdottir U , Thuesen BH , Tonjes A , Tromp G , Trompet S , Tsafantakis E , Tuomilehto J , Tybjaerg-Hansen A , Tyrer JP , Uher R , Uitterlinden AG , Uusitupa M , Laan SW , Duijn CM , Leeuwen N , van Setten J , Vanhala M , Varbo A , Varga TV , Varma R , Velez Edwards DR , Vermeulen SH , Veronesi G , Vestergaard H , Vitart V , Vogt TF , Volker U , Vuckovic D , Wagenknecht LE , Walker M , Wallentin L , Wang F , Wang CA , Wang S , Wang Y , Ware EB , Wareham NJ , Warren HR , Waterworth DM , Wessel J , White HD , Willer CJ , Wilson JG , Witte DR , Wood AR , Wu Y , Yaghootkar H , Yao J , Yao P , Yerges-Armstrong LM , Young R , Zeggini E , Zhan X , Zhang W , Zhao JH , Zhao W , Zhou W , Zondervan KT , Rotter JI , Pospisilik JA , Rivadeneira F , Borecki IB , Deloukas P , Frayling TM , Lettre G , North KE , Lindgren CM , Hirschhorn JN , Loos RJF
Ref : Nat Genet , 50 :26 , 2018
Abstract : Genome-wide association studies (GWAS) have identified >250 loci for body mass index (BMI), implicating pathways related to neuronal biology. Most GWAS loci represent clusters of common, noncoding variants from which pinpointing causal genes remains challenging. Here we combined data from 718,734 individuals to discover rare and low-frequency (minor allele frequency (MAF) < 5%) coding variants associated with BMI. We identified 14 coding variants in 13 genes, of which 8 variants were in genes (ZBTB7B, ACHE, RAPGEF3, RAB21, ZFHX3, ENTPD6, ZFR2 and ZNF169) newly implicated in human obesity, 2 variants were in genes (MC4R and KSR2) previously observed to be mutated in extreme obesity and 2 variants were in GIPR. The effect sizes of rare variants are ~10 times larger than those of common variants, with the largest effect observed in carriers of an MC4R mutation introducing a stop codon (p.Tyr35Ter, MAF = 0.01%), who weighed ~7 kg more than non-carriers. Pathway analyses based on the variants associated with BMI confirm enrichment of neuronal genes and provide new evidence for adipocyte and energy expenditure biology, widening the potential of genetically supported therapeutic targets in obesity.
ESTHER : Turcot_2018_Nat.Genet_50_26
PubMedSearch : Turcot_2018_Nat.Genet_50_26
PubMedID: 29273807

Title : Distinct loci in the CHRNA5\/CHRNA3\/CHRNB4 gene cluster are associated with onset of regular smoking - Stephens_2013_Genet.Epidemiol_37_846
Author(s) : Stephens SH , Hartz SM , Hoft NR , Saccone NL , Corley RC , Hewitt JK , Hopfer CJ , Breslau N , Coon H , Chen X , Ducci F , Dueker N , Franceschini N , Frank J , Han Y , Hansel NN , Jiang C , Korhonen T , Lind PA , Liu J , Lyytikainen LP , Michel M , Shaffer JR , Short SE , Sun J , Teumer A , Thompson JR , Vogelzangs N , Vink JM , Wenzlaff A , Wheeler W , Yang BZ , Aggen SH , Balmforth AJ , Baumeister SE , Beaty TH , Benjamin DJ , Bergen AW , Broms U , Cesarini D , Chatterjee N , Chen J , Cheng YC , Cichon S , Couper D , Cucca F , Dick D , Foroud T , Furberg H , Giegling I , Gillespie NA , Gu F , Hall AS , Hallfors J , Han S , Hartmann AM , Heikkila K , Hickie IB , Hottenga JJ , Jousilahti P , Kaakinen M , Kahonen M , Koellinger PD , Kittner S , Konte B , Landi MT , Laatikainen T , Leppert M , Levy SM , Mathias RA , McNeil DW , Medland SE , Montgomery GW , Murray T , Nauck M , North KE , Pare PD , Pergadia M , Ruczinski I , Salomaa V , Viikari J , Willemsen G , Barnes KC , Boerwinkle E , Boomsma DI , Caporaso N , Edenberg HJ , Francks C , Gelernter J , Grabe HJ , Hops H , Jarvelin MR , Johannesson M , Kendler KS , Lehtimaki T , Magnusson PK , Marazita ML , Marchini J , Mitchell BD , Nothen MM , Penninx BW , Raitakari O , Rietschel M , Rujescu D , Samani NJ , Schwartz AG , Shete S , Spitz M , Swan GE , Volzke H , Veijola J , Wei Q , Amos C , Cannon DS , Grucza R , Hatsukami D , Heath A , Johnson EO , Kaprio J , Madden P , Martin NG , Stevens VL , Weiss RB , Kraft P , Bierut LJ , Ehringer MA
Ref : Genet Epidemiol , 37 :846 , 2013
Abstract : Neuronal nicotinic acetylcholine receptor (nAChR) genes (CHRNA5/CHRNA3/CHRNB4) have been reproducibly associated with nicotine dependence, smoking behaviors, and lung cancer risk. Of the few reports that have focused on early smoking behaviors, association results have been mixed. This meta-analysis examines early smoking phenotypes and SNPs in the gene cluster to determine: (1) whether the most robust association signal in this region (rs16969968) for other smoking behaviors is also associated with early behaviors, and/or (2) if additional statistically independent signals are important in early smoking. We focused on two phenotypes: age of tobacco initiation (AOI) and age of first regular tobacco use (AOS). This study included 56,034 subjects (41 groups) spanning nine countries and evaluated five SNPs including rs1948, rs16969968, rs578776, rs588765, and rs684513. Each dataset was analyzed using a centrally generated script. Meta-analyses were conducted from summary statistics. AOS yielded significant associations with SNPs rs578776 (beta = 0.02, P = 0.004), rs1948 (beta = 0.023, P = 0.018), and rs684513 (beta = 0.032, P = 0.017), indicating protective effects. There were no significant associations for the AOI phenotype. Importantly, rs16969968, the most replicated signal in this region for nicotine dependence, cigarettes per day, and cotinine levels, was not associated with AOI (P = 0.59) or AOS (P = 0.92). These results provide important insight into the complexity of smoking behavior phenotypes, and suggest that association signals in the CHRNA5/A3/B4 gene cluster affecting early smoking behaviors may be different from those affecting the mature nicotine dependence phenotype.
ESTHER : Stephens_2013_Genet.Epidemiol_37_846
PubMedSearch : Stephens_2013_Genet.Epidemiol_37_846
PubMedID: 24186853

Title : Increased genetic vulnerability to smoking at CHRNA5 in early-onset smokers - Hartz_2012_Arch.Gen.Psychiatry_69_854
Author(s) : Hartz SM , Short SE , Saccone NL , Culverhouse R , Chen L , Schwantes-An TH , Coon H , Han Y , Stephens SH , Sun J , Chen X , Ducci F , Dueker N , Franceschini N , Frank J , Geller F , Gubjartsson D , Hansel NN , Jiang C , Keskitalo-Vuokko K , Liu Z , Lyytikainen LP , Michel M , Rawal R , Rosenberger A , Scheet P , Shaffer JR , Teumer A , Thompson JR , Vink JM , Vogelzangs N , Wenzlaff AS , Wheeler W , Xiao X , Yang BZ , Aggen SH , Balmforth AJ , Baumeister SE , Beaty T , Bennett S , Bergen AW , Boyd HA , Broms U , Campbell H , Chatterjee N , Chen J , Cheng YC , Cichon S , Couper D , Cucca F , Dick DM , Foroud T , Furberg H , Giegling I , Gu F , Hall AS , Hallfors J , Han S , Hartmann AM , Hayward C , Heikkila K , Hewitt JK , Hottenga JJ , Jensen MK , Jousilahti P , Kaakinen M , Kittner SJ , Konte B , Korhonen T , Landi MT , Laatikainen T , Leppert M , Levy SM , Mathias RA , McNeil DW , Medland SE , Montgomery GW , Muley T , Murray T , Nauck M , North K , Pergadia M , Polasek O , Ramos EM , Ripatti S , Risch A , Ruczinski I , Rudan I , Salomaa V , Schlessinger D , Styrkarsdottir U , Terracciano A , Uda M , Willemsen G , Wu X , Abecasis G , Barnes K , Bickeboller H , Boerwinkle E , Boomsma DI , Caporaso N , Duan J , Edenberg HJ , Francks C , Gejman PV , Gelernter J , Grabe HJ , Hops H , Jarvelin MR , Viikari J , Kahonen M , Kendler KS , Lehtimaki T , Levinson DF , Marazita ML , Marchini J , Melbye M , Mitchell BD , Murray JC , Nothen MM , Penninx BW , Raitakari O , Rietschel M , Rujescu D , Samani NJ , Sanders AR , Schwartz AG , Shete S , Shi J , Spitz M , Stefansson K , Swan GE , Thorgeirsson T , Volzke H , Wei Q , Wichmann HE , Amos CI , Breslau N , Cannon DS , Ehringer M , Grucza R , Hatsukami D , Heath A , Johnson EO , Kaprio J , Madden P , Martin NG , Stevens VL , Stitzel JA , Weiss RB , Kraft P , Bierut LJ
Ref : Arch Gen Psychiatry , 69 :854 , 2012
Abstract : CONTEXT: Recent studies have shown an association between cigarettes per day (CPD) and a nonsynonymous single-nucleotide polymorphism in CHRNA5, rs16969968. OBJECTIVE: To determine whether the association between rs16969968 and smoking is modified by age at onset of regular smoking. DATA SOURCES: Primary data. STUDY SELECTION: Available genetic studies containing measures of CPD and the genotype of rs16969968 or its proxy. DATA EXTRACTION: Uniform statistical analysis scripts were run locally. Starting with 94,050 ever-smokers from 43 studies, we extracted the heavy smokers (CPD >20) and light smokers (CPD </=10) with age-at-onset information, reducing the sample size to 33,348. Each study was stratified into early-onset smokers (age at onset </=16 years) and late-onset smokers (age at onset >16 years), and a logistic regression of heavy vs light smoking with the rs16969968 genotype was computed for each stratum. Meta-analysis was performed within each age-at-onset stratum. DATA SYNTHESIS: Individuals with 1 risk allele at rs16969968 who were early-onset smokers were significantly more likely to be heavy smokers in adulthood (odds ratio [OR] = 1.45; 95% CI, 1.36-1.55; n = 13,843) than were carriers of the risk allele who were late-onset smokers (OR = 1.27; 95% CI, 1.21-1.33, n = 19,505) (P = .01). CONCLUSION: These results highlight an increased genetic vulnerability to smoking in early-onset smokers.
ESTHER : Hartz_2012_Arch.Gen.Psychiatry_69_854
PubMedSearch : Hartz_2012_Arch.Gen.Psychiatry_69_854
PubMedID: 22868939