Now showing items 156-175 of 424

    • Genome-wide analysis of epistasis in body mass index using multiple human populations 

      Wei WH; Hemani G; Gyenesei A; Vitart V; Navarro P; Hayward C; Cabrera CP; Huffman JE; Knott SA; Hicks AA; Rudan I; Pramstaller PP; Wild SH; Wilson JF; Campbell H; Hastie ND; Wright AF; Haley CS (2012)
      We surveyed gene-gene interactions (epistasis) in human body mass index (BMI) in four European populations (n<1200) via exhaustive pair-wise genome scans where interactions were computed as F ratios by testing a linear ...
    • A genome-wide approach accounting for body mass index identifies genetic variants influencing fasting glycemic traits and insulin resistance 

      Manning AK; Hivert MF; Scott RA; Grimsby JL; Bouatia-Naji N; Chen H; Rybin D; Liu CT; Bielak LF; Prokopenko I; Amin N; Barnes D; Cadby G; Hottenga JJ; Ingelsson E; Jackson AU; Johnson T; Kanoni S; Ladenvall C; Lagou V; Lahti J; Lecoeur C; Liu Y; Martinez-Larrad MT; Montasser ME; Navarro P; Perry JR; Rasmussen-Torvik LJ; Salo P; Sattar N; Shungin D; Strawbridge RJ; Tanaka T; van Duijn CM; An P; de Andrade M; Andrews JS; Aspelund T; Atalay M; Aulchenko Y; Balkau B; Bandinelli S; Beckmann JS; Beilby JP; Bellis C; Bergman RN; Blangero J; Boban M; Boehnke M; Boerwinkle E; Bonnycastle LL; Boomsma DI; Borecki IB; Böttcher Y; Bouchard C; Brunner E; Budimir D; Campbell H; Carlson O; Chines PS; Clarke R; Collins FS; Corbatón-Anchuelo A; Couper D; de Faire U; Dedoussis GV; Deloukas P; Dimitriou M; Egan JM; Eiriksdottir G; Erdos MR; Eriksson JG; Eury E; Ferrucci L; Ford I; Forouhi NG; Fox CS; Franzosi MG; Franks PW; Frayling TM; Froguel P; Galan P; de Geus E; Gigante B; Glazer NL; Goel A; Groop L; Gudnason V; Hallmans G; Hamsten A; Hansson O; Harris TB; Hayward C; Heath S; Hercberg S; Hicks AA; Hingorani A; Hofman A; Hui J; Hung J; Jarvelin MR; Jhun MA; Johnson PC; Jukema JW; Jula A; Kao WH; Kaprio J; Kardia SL; Keinanen-Kiukaanniemi S; Kivimaki M; Kolcic I; Kovacs P; Kumari M; Kuusisto J; Kyvik KO; Laakso M; Lakka T; Lannfelt L; Lathrop GM; Launer LJ; Leander K; Li G; Lind L; Lindstrom J; Lobbens S; Loos RJ; Luan J; Lyssenko V; Mägi R; Magnusson PK; Marmot M; Meneton P; Mohlke KL; Mooser V; Morken MA; Miljkovic I; Narisu N; O'Connell J; Ong KK; Oostra BA; Palmer LJ; Palotie A; Pankow JS; Peden JF; Pedersen NL; Pehlic M; Peltonen L; Penninx B; Pericic M; Perola M; Perusse L; Peyser PA; Polasek O; Pramstaller PP; Province MA; Räikkönen K; Rauramaa R; Rehnberg E; Rice K; Rotter JI; Rudan I; Ruokonen A; Saaristo T; Sabater-Lleal M; Salomaa V; Savage DB; Saxena R; Schwarz P; Seedorf U; Sennblad B; Serrano-Ríos M; Shuldiner AR; Sijbrands EJ; Siscovick DS; Smit JH; Small KS; Smith NL; Smith AV; Stancáková A; Stirrups K; Stumvoll M; Sun YV; Swift AJ; Tönjes A; Tuomilehto J; Trompet S; Uitterlinden AG; Uusitupa M; Vikström M; Vitart V; Vohl MC; Voight BF; Vollenweider P; Waeber G; Waterworth DM; Watkins H; Wheeler E; Widen E; Wild SH; Willems SM; Willemsen G; Wilson JF; Witteman JC; Wright AF; Yaghootkar H; Zelenika D; Zemunik T; Zgaga L; DIAGRAM Consortium; MuTHER Consortium; Wareham NJ; McCarthy MI; Barroso I; Watanabe RM; Florez JC; Dupuis J; Meigs JB; Langenberg C (2012)
      Recent genome-wide association studies have described many loci implicated in type 2 diabetes (T2D) pathophysiology and β-cell dysfunction but have contributed little to the understanding of the genetic basis of insulin ...
    • Genome-wide association analyses identify 18 new loci associated with serum urate concentrations 

      Köttgen A; Albrecht E; Teumer A; Vitart V; Krumsiek J; Hundertmark C; Pistis G; Ruggiero D; O'Seaghdha CM; Haller T; Yang Q; Tanaka T; Johnson AD; Kutalik Z; Smith AV; Shi J; Struchalin M; Middelberg RP; Brown MJ; Gaffo AL; Pirastu N; Li G; Hayward C; Zemunik T; Huffman J; Yengo L; Zhao JH; Demirkan A; Feitosa MF; Liu X; Malerba G; Lopez LM; van der Harst P; Li X; Kleber ME; Hicks AA; Nolte IM; Johansson A; Murgia F; Wild SH; Bakker SJ; Peden JF; Dehghan A; Steri M; Tenesa A; Lagou V; Salo P; Mangino M; Rose LM; Lehtimäki T; Woodward OM; Okada Y; Tin A; Müller C; Oldmeadow C; Putku M; Czamara D; Kraft P; Frogheri L; Thun GA; Grotevendt A; Gislason GK; Harris TB; Launer LJ; McArdle P; Shuldiner AR; Boerwinkle E; Coresh J; Schmidt H; Schallert M; Martin NG; Montgomery GW; Kubo M; Nakamura Y; Munroe PB; Samani NJ; Jacobs DR; Liu K; D'Adamo P; Ulivi S; Rotter JI; Psaty BM; Vollenweider P; Waeber G; Campbell S; Devuyst O; Navarro P; Kolcic I; Hastie N; Balkau B; Froguel P; Esko T; Salumets A; Khaw KT; Langenberg C; Wareham NJ; Isaacs A; Kraja A; Zhang Q; Wild PS; Scott RJ; Holliday EG; Org E; Viigimaa M; Bandinelli S; Metter JE; Lupo A; Trabetti E; Sorice R; Döring A; Lattka E; Strauch K; Theis F; Waldenberger M; Wichmann HE; Davies G; Gow AJ; Bruinenberg M; LifeLines Cohort Study; Stolk RP; Kooner JS; Zhang W; Winkelmann BR; Boehm BO; Lucae S; Penninx BW; Smit JH; Curhan G; Mudgal P; Plenge RM; Portas L; Persico I; Kirin M; Wilson JF; Mateo Leach I; van Gilst WH; Goel A; Ongen H; Hofman A; Rivadeneira F; Uitterlinden AG; Imboden M; von Eckardstein A; Cucca F; Nagaraja R; Piras MG; Nauck M; Schurmann C; Budde K; Ernst F; Farrington SM; Theodoratou E; Prokopenko I; Stumvoll M; Jula A; Perola M; Salomaa V; Shin SY; Spector TD; Sala C; Ridker PM; Kähönen M; Viikari J; Hengstenberg C; Nelson CP; CARDIoGRAM Consortium; DIAGRAM Consortium; ICBP Consortium; MAGIC Consortium; Meschia JF; Nalls MA; Sharma P; Singleton AB; Kamatani N; Zeller T; Burnier M; Attia J; Laan M; Klopp N; Hillege HL; Kloiber S; Choi H; Pirastu M; Tore S; Probst-Hensch NM; Völzke H; Gudnason V; Parsa A; Schmidt R; Whitfield JB; Fornage M; Gasparini P; Siscovick DS; Polašek O; Campbell H; Rudan I; Bouatia-Naji N; Metspalu A; Loos RJ; van Duijn CM; Borecki IB; Ferrucci L; Gambaro G; Deary IJ; Wolffenbuttel BH; Chambers JC; März W; Pramstaller PP; Snieder H; Gyllensten U; Wright AF; Navis G; Watkins H; Witteman JC; Sanna S; Schipf S; Dunlop MG; Tönjes A; Ripatti S; Soranzo N; Toniolo D; Chasman DI; Raitakari O; Kao WH; Ciullo M; Fox CS; Caulfield M; Bochud M; Gieger C (2013)
      Elevated serum urate concentrations can cause gout, a prevalent and painful inflammatory arthritis. By combining data from >140,000 individuals of European ancestry within the Global Urate Genetics Consortium (GUGC), we ...
    • Genome-Wide Association Analyses in 128,266 Individuals Identifies New Morningness and Sleep Duration Loci 

      Jones SE; Tyrrell J; Wood AR; Beaumont RN; Ruth KS; Tuke MA; Yaghootkar H; Hu Y; Teder-Laving M; Hayward C; Roenneberg T; Wilson JF; Del Greco M F; Hicks AA; Shin C; Yun CH; Lee SK; Metspalu A; Byrne EM; Gehrman PR; Tiemeier H; Allebrandt KV; Freathy RM; Murray A; Hinds DA; Frayling TM; Weedon MN (2016)
      Disrupted circadian rhythms and reduced sleep duration are associated with several human diseases, particularly obesity and type 2 diabetes, but until recently, little was known about the genetic factors influencing these ...
    • Genome-wide association analysis and fine mapping of NT-proBNP level provide novel insight into the role of the MTHFR-CLCN6-NPPA-NPPB gene cluster 

      Del Greco M F; Pattaro C; Luchner A; Pichler I; Winkler T; Hicks AA; Fuchsberger C; Franke A; Melville SA; Peters A; Wichmann HE; Schreiber S; Heid IM; Krawczak M; Minelli C; Wiedermann CJ; Pramstaller PP (2011)
      High blood concentration of the N-terminal cleavage product of the B-type natriuretic peptide (NT-proBNP) is strongly associated with cardiac dysfunction and is increasingly used for heart failure diagnosis. To identify ...
    • Genome-wide association analysis identifies multiple loci related to resting heart rate 

      Eijgelsheim M; Newton-Cheh C; Sotoodehnia N; de Bakker PI; Müller M; Morrison AC; Smith AV; Isaacs A; Sanna S; Dörr M; Navarro P; Fuchsberger C; Nolte IM; de Geus EJ; Estrada K; Hwang SJ; Bis JC; Rückert IM; Alonso A; Launer LJ; Hottenga JJ; Rivadeneira F; Noseworthy PA; Rice KM; Perz S; Arking DE; Spector TD; Kors JA; Aulchenko YS; Tarasov KV; Homuth G; Wild SH; Marroni F; Gieger C; Licht CM; Prineas RJ; Hofman A; Rotter JI; Hicks AA; Ernst F; Najjar SS; Wright AF; Peters A; Fox ER; Oostra BA; Kroemer HK; Couper D; Völzke H; Campbell H; Meitinger T; Uda M; Witteman JC; Psaty BM; Wichmann HE; Harris TB; Kääb S; Siscovick DS; Jamshidi Y; Uitterlinden AG; Folsom AR; Larson MG; Wilson JF; Penninx BW; Snieder H; Pramstaller PP; van Duijn CM; Lakatta EG; Felix SB; Gudnason V; Pfeufer A; Heckbert SR; Stricker BH; Boerwinkle E; O'Donnell CJ (2010)
      Higher resting heart rate is associated with increased cardiovascular disease and mortality risk. Though heritable factors play a substantial role in population variation, little is known about specific genetic determinants. ...
    • Genome-wide association analysis identifies novel blood pressure loci and offers biological insights into cardiovascular risk 

      Warren HR; Evangelou E; Cabrera CP; Gao H; Ren M; Mifsud B; Ntalla I; Surendran P; Liu C; Cook JP; Kraja AT; Drenos F; Loh M; Verweij N; Marten J; Karaman I; Lepe MP; O'Reilly PF; Knight J; Snieder H; Kato N; He J; Tai ES; Said MA; Porteous D; Alver M; Poulter N; Farrall M; Gansevoort RT; Padmanabhan S; Mägi R; Stanton A; Connell J; Bakker SJ; Metspalu A; Shields DC; Thom S; Brown M; Sever P; Esko T; Hayward C; van der Harst P; Saleheen D; Chowdhury R; Chambers JC; Chasman DI; Chakravarti A; Newton-Cheh C; Lindgren CM; Levy D; Kooner JS; Keavney B; Tomaszewski M; Samani NJ; Howson JM; Tobin MD; Munroe PB; Ehret GB; Wain LV; International Consortium of Blood Pressure (ICBP) 1000G Analyses; BIOS Consortium; Lifelines Cohort Study; Understanding Society Scientific group; CHD Exome+ Consortium; ExomeBP Consortium; T2D-GENES Consortium; GoT2DGenes Consortium; CHARGE BP Exome Consortium; International Genomics of Blood Pressure (iGEN-BP) Consortium; UK Biobank CardioMetabolic Consortium BP working group (2017)
      Elevated blood pressure is the leading heritable risk factor for cardiovascular disease worldwide. We report genetic association of blood pressure (systolic, diastolic, pulse pressure) among UK Biobank participants of ...
    • Genome-wide association analysis identifies variants associated with nonalcoholic fatty liver disease that have distinct effects on metabolic traits 

      Speliotes EK; Yerges-Armstrong LM; Wu J; Hernaez R; Kim LJ; Palmer CD; Gudnason V; Eiriksdottir G; Garcia ME; Launer LJ; Nalls MA; Clark JM; Mitchell BD; Shuldiner AR; Butler JL; Tomas M; Hoffmann U; Hwang SJ; Massaro JM; O'Donnell CJ; Sahani DV; Salomaa V; Schadt EE; Schwartz SM; Siscovick DS; NASH CRN; GIANT Consortium; MAGIC Investigators; Voight BF; Carr JJ; Feitosa MF; Harris TB; Fox CS; Smith AV; Kao WH; Hirschhorn JN; Borecki IB; GOLD Consortium (2011)
      Nonalcoholic fatty liver disease (NAFLD) clusters in families, but the only known common genetic variants influencing risk are near PNPLA3. We sought to identify additional genetic variants influencing NAFLD using genome-wide ...
    • Genome-wide association and functional follow-up reveals new loci for kidney function 

      Pattaro C; Köttgen A; Teumer A; Garnaas M; Böger CA; Fuchsberger C; Olden M; Chen MH; Tin A; Taliun D; Li M; Gao X; Gorski M; Yang Q; Hundertmark C; Foster MC; O'Seaghdha CM; Glazer N; Isaacs A; Liu CT; Smith AV; O'Connell JR; Struchalin M; Tanaka T; Li G; Johnson AD; Gierman HJ; Feitosa M; Hwang SJ; Atkinson EJ; Lohman K; Cornelis MC; Johansson Å; Tönjes A; Dehghan A; Chouraki V; Holliday EG; Sorice R; Kutalik Z; Lehtimäki T; Esko T; Deshmukh H; Ulivi S; Chu AY; Murgia F; Trompet S; Imboden M; Kollerits B; Pistis G; CARDIoGRAM Consortium; ICBP Consortium; CARe Consortium; Wellcome Trust Case Control Consortium 2; Harris TB; Launer LJ; Aspelund T; Eiriksdottir G; Mitchell BD; Boerwinkle E; Schmidt H; Cavalieri M; Rao M; Hu FB; Demirkan A; Oostra BA; de Andrade M; Turner ST; Ding J; Andrews JS; Freedman BI; Koenig W; Illig T; Döring A; Wichmann HE; Kolcic I; Zemunik T; Boban M; Minelli C; Wheeler HE; Igl W; Zaboli G; Wild SH; Wright AF; Campbell H; Ellinghaus D; Nöthlings U; Jacobs G; Biffar R; Endlich K; Ernst F; Homuth G; Kroemer HK; Nauck M; Stracke S; Völker U; Völzke H; Kovacs P; Stumvoll M; Mägi R; Hofman A; Uitterlinden AG; Rivadeneira F; Aulchenko YS; Polasek O; Hastie N; Vitart V; Helmer C; Wang JJ; Ruggiero D; Bergmann S; Kähönen M; Viikari J; Nikopensius T; Province M; Ketkar S; Colhoun H; Doney A; Robino A; Giulianini F; Krämer BK; Portas L; Ford I; Buckley BM; Adam M; Thun GA; Paulweber B; Haun M; Sala C; Metzger M; Mitchell P; Ciullo M; Kim SK; Vollenweider P; Raitakari O; Metspalu A; Palmer C; Gasparini P; Pirastu M; Jukema JW; Probst-Hensch NM; Kronenberg F; Toniolo D; Gudnason V; Shuldiner AR; Coresh J; Schmidt R; Ferrucci L; Siscovick DS; van Duijn CM; Borecki I; Kardia SL; Liu Y; Curhan GC; Rudan I; Gyllensten U; Wilson JF; Franke A; Pramstaller PP; Rettig R; Prokopenko I; Witteman JC; Hayward C; Ridker P; Parsa A; Bochud M; Heid IM; Goessling W; Chasman DI; Kao WH; Fox CS (2012)
      Chronic kidney disease (CKD) is an important public health problem with a genetic component. We performed genome-wide association studies in up to 130,600 European ancestry participants overall, and stratified for key CKD ...
    • Genome-wide association for abdominal subcutaneous and visceral adipose reveals a novel locus for visceral fat in women 

      Fox CS; Liu Y; White CC; Feitosa M; Smith AV; Heard-Costa N; Lohman K; GIANT Consortium; MAGIC Consortium; GLGC Consortium; Johnson AD; Foster MC; Greenawalt DM; Griffin P; Ding J; Newman AB; Tylavsky F; Miljkovic I; Kritchevsky SB; Launer L; Garcia M; Eiriksdottir G; Carr JJ; Gudnason V; Harris TB; Cupples LA; Borecki IB (2012)
      Body fat distribution, particularly centralized obesity, is associated with metabolic risk above and beyond total adiposity. We performed genome-wide association of abdominal adipose depots quantified using computed ...
    • Genome-wide association identifies nine common variants associated with fasting proinsulin levels and provides new insights into the pathophysiology of type 2 diabetes 

      Strawbridge RJ; Dupuis J; Prokopenko I; Barker A; Ahlqvist E; Rybin D; Petrie JR; Travers ME; Bouatia-Naji N; Dimas AS; Nica A; Wheeler E; Chen H; Voight BF; Taneera J; Kanoni S; Peden JF; Turrini F; Gustafsson S; Zabena C; Almgren P; Barker DJ; Barnes D; Dennison EM; Eriksson JG; Eriksson P; Eury E; Folkersen L; Fox CS; Frayling TM; Goel A; Gu HF; Horikoshi M; Isomaa B; Jackson AU; Jameson KA; Kajantie E; Kerr-Conte J; Kuulasmaa T; Kuusisto J; Loos RJ; Luan J; Makrilakis K; Manning AK; Martínez-Larrad MT; Narisu N; Nastase Mannila M; Ohrvik J; Osmond C; Pascoe L; Payne F; Sayer AA; Sennblad B; Silveira A; Stancáková A; Stirrups K; Swift AJ; Syvänen AC; Tuomi T; van 't Hooft FM; Walker M; Weedon MN; Xie W; Zethelius B; DIAGRAM Consortium; GIANT Consortium; MuTHER Consortium; CARDIoGRAM Consortium; C4D Consortium; Ongen H; Mälarstig A; Hopewell JC; Saleheen D; Chambers J; Parish S; Danesh J; Kooner J; Ostenson CG; Lind L; Cooper CC; Serrano-Ríos M; Ferrannini E; Forsen TJ; Clarke R; Franzosi MG; Seedorf U; Watkins H; Froguel P; Johnson P; Deloukas P; Collins FS; Laakso M; Dermitzakis ET; Boehnke M; McCarthy MI; Wareham NJ; Groop L; Pattou F; Gloyn AL; Dedoussis GV; Lyssenko V; Meigs JB; Barroso I; Watanabe RM; Ingelsson E; Langenberg C; Hamsten A; Florez JC (2011)
      OBJECTIVE: Proinsulin is a precursor of mature insulin and C-peptide. Higher circulating proinsulin levels are associated with impaired β-cell function, raised glucose levels, insulin resistance, and type 2 diabetes (T2D). ...
    • Genome-wide association meta-analysis of PR interval identifies 50 novel loci associated with atrial and atrioventricular electrical activity 

      van Setten J; Brody JA; Jamshidi Y; Swenson BR; Butler AM; Campbell H; Del Greco M F; Evans DS; Gibson Q; Gudbjartsson DF; Kerr KF; Krijthe BP; Lyytikäinen LP; Müller C; Müller-Nurasyid M; Nolte IM; Padmanabhan S; Ritchie MD; Robino A; Smith AV; Steri M; Tanaka T; Teumer A; Trompet S; Ulivi S; Verweij N; Yin X; Arnar DO; Asselbergs FW; Bader JS; Barnard J; Bis S; Blankenberg S; Boerwinkle E; Bradford Y; Buckley BM; Chung MK; Crawford D; den Hoed M; Denny JC; Dominiczak AF; Ehret GB; Eijgelsheim M; Ellinor PT; Felix SB; Franco OH; Franke L; Harris TB; Holm H; Gandin I; Iorio A; Kähönen M; Kolcic I; Kors JA; Lakatta EG; Launer LJ; Lin H; Lin HJ; Loos RJF; Lubitz SA; Macfarlane PW; Magnani JW; Mateo Leach I; Meitinger T; Mitchell BD; Munzel T; Papanicolaou GJ; Peters A; Pfeufer A; Pramstaller PP; Raitakari OT; Rotter JI; Rudan I; Samani NJ; Schlessinger D; Silva Aldana CT; Sinner MF; Smith JD; Snieder H; Soliman EZ; Spector TD; Stott DJ; Strauch K; Tarasov KV; Thorsteinsdottir U; Uitterlinden AG; Van Wagoner DR; Völker U; Völzke H; Waldenberger M; Jan Westra H; Wild PS; Zeller T; Alonso A; Avery CL; Bandinelli S; Benjamin EJ; Cucca F; Dörr M; Ferrucci L; Gasparini P; Gudnason V; Hayward C; Heckbert SR; Hicks AA; Wouter Jukema J; Kääb S; Lehtimäki T; Liu Y; Munroe PB; Parsa A; Polasek O; Psaty BM; Roden DM; Schnabel RB; Sinagra G; Stefansson K; Stricker BH; van der Harst P; van Duijn CM; Wilson JF; Gharib SA; de Bakker PIW; Isaacs A; Arking DE; Sotoodehnia N (2018)
      Electrocardiographic PR interval measures atrio-ventricular depolarization and conduction, and abnormal PR interval is a risk factor for atrial fibrillation and heart block. Our genome-wide association study of over 92,000 ...
    • Genome-wide Association Studies Identify Genetic Loci Associated With Albuminuria in Diabetes 

      Teumer A; Tin A; Sorice R; Gorski M; Yeo NC; Chu AY; Li M; Li Y; Mijatovic V; Ko YA; Taliun D; Luciani A; Chen MH; Yang Q; Foster MC; Olden M; Hiraki LT; Tayo BO; Fuchsberger C; Dieffenbach AK; Shuldiner AR; Smith AV; Zappa AM; Lupo A; Kollerits B; Ponte B; Stengel B; Krämer BK; Paulweber B; Mitchell BD; Hayward C; Helmer C; Meisinger C; Gieger C; Shaffer CM; Müller C; Langenberg C; Ackermann D; Siscovick D; DCCT/EDIC; Boerwinkle E; Kronenberg F; Ehret GB; Homuth G; Waeber G; Navis G; Gambaro G; Malerba G; Eiriksdottir G; Li G; Wichmann HE; Grallert H; Wallaschofski H; Völzke H; Brenner H; Kramer H; Mateo Leach I; Rudan I; Hillege HL; Beckmann JS; Lambert JC; Luan J; Zhao JH; Chalmers J; Coresh J; Denny JC; Butterbach K; Launer LJ; Ferrucci L; Kedenko L; Haun M; Metzger M; Woodward M; Hoffman MJ; Nauck M; Waldenberger M; Pruijm M; Bochud M; Rheinberger M; Verweij N; Wareham NJ; Endlich N; Soranzo N; Polasek O; van der Harst P; Pramstaller PP; Vollenweider P; Wild PS; Gansevoort RT; Rettig R; Biffar R; Carroll RJ; Katz R; Loos RJ; Hwang SJ; Coassin S; Bergmann S; Rosas SE; Stracke S; Harris TB; Corre T; Zeller T; Illig T; Aspelund T; Tanaka T; Lendeckel U; Völker U; Gudnason V; Chouraki V; Koenig W; Kutalik Z; O'Connell JR; Parsa A; Heid IM; Paterson AD; de Boer IH; Devuyst O; Lazar J; Endlich K; Susztak K; Tremblay J; Hamet P; Jacob HJ; Böger CA; Fox CS; Pattaro C; Köttgen A (2016)
      Elevated concentrations of albumin in the urine, albuminuria, are a hallmark of diabetic kidney disease and are associated with an increased risk for end-stage renal disease and cardiovascular events. To gain insight into ...
    • Genome-wide association studies of albuminuria: towards genetic stratification in diabetes? 

      Pattaro C (2018)
      Genome-wide association studies (GWAS) have been very successful in unraveling the polygenic structure of several complex diseases and traits. In the case of albuminuria, despite the large sample size achieved by some ...
    • Genome-wide association studies of the PR interval in African Americans 

      Smith JG; Magnani JW; Palmer C; Meng YA; Soliman EZ; Musani SK; Kerr KF; Schnabel RB; Lubitz SA; Sotoodehnia N; Redline S; Pfeufer A; Müller M; Evans DS; Nalls MA; Liu Y; Newman AB; Zonderman AB; Evans MK; Deo R; Ellinor PT; Paltoo DN; Newton-Cheh C; Benjamin EJ; Mehra R; Alonso A; Heckbert SR; Fox ER; Candidate-gene Association Resource (CARe) Consortium (2011)
      The PR interval on the electrocardiogram reflects atrial and atrioventricular nodal conduction time. The PR interval is heritable, provides important information about arrhythmia risk, and has been suggested to differ among ...
    • Genome-wide association study for type 2 diabetes in Indians identifies a new susceptibility locus at 2q21 

      Tabassum R; Chauhan G; Dwivedi OP; Mahajan A; Jaiswal A; Kaur I; Bandesh K; Singh T; Mathai BJ; Pandey Y; Chidambaram M; Sharma A; Chavali S; Sengupta S; Ramakrishnan L; Venkatesh P; Aggarwal SK; Ghosh S; Prabhakaran D; Srinath RK; Saxena M; Banerjee M; Mathur S; Bhansali A; Shah VN; Madhu SV; Marwaha RK; Basu A; Scaria V; McCarthy MI; DIAGRAM Consortium; INDICO; Venkatesan R; Mohan V; Tandon N; Bharadwaj D (2013)
      Indians undergoing socioeconomic and lifestyle transitions will be maximally affected by epidemic of type 2 diabetes (T2D). We conducted a two-stage genome-wide association study of T2D in 12,535 Indians, a less explored ...
    • Genome-wide association study identifies a novel locus contributing to type 2 diabetes susceptibility in Sikhs of Punjabi origin from India 

      Saxena R; Saleheen D; Been LF; Garavito ML; Braun T; Bjonnes A; Young R; Ho WK; Rasheed A; Frossard P; Sim X; Hassanali N; Radha V; Chidambaram M; Liju S; Rees SD; Ng DP; Wong TY; Yamauchi T; Hara K; Tanaka Y; Hirose H; McCarthy MI; Morris AP; DIAGRAM Consortium; MuTHER Consortium; AGEN; Basit A; Barnett AH; Katulanda P; Matthews D; Mohan V; Wander GS; Singh JR; Mehra NK; Ralhan S; Kamboh MI; Mulvihill JJ; Maegawa H; Tobe K; Maeda S; Cho YS; Tai ES; Kelly MA; Chambers JC; Kooner JS; Kadowaki T; Deloukas P; Rader DJ; Danesh J; Sanghera DK (2013)
      We performed a genome-wide association study (GWAS) and a multistage meta-analysis of type 2 diabetes (T2D) in Punjabi Sikhs from India. Our discovery GWAS in 1,616 individuals (842 case subjects) was followed by in silico ...
    • A genome-wide association study identifies GRK5 and RASGRP1 as type 2 diabetes loci in Chinese Hans 

      Li H; Gan W; Lu L; Dong X; Han X; Hu C; Yang Z; Sun L; Bao W; Li P; He M; Wang Y; Zhu J; Ning Q; Tang Y; Zhang R; Wen J; Wang D; Zhu X; Guo K; Zuo X; Guo X; Yang H; Zhou X; DIAGRAM Consortium; AGEN-T2D Consortium; Zhang X; Qi L; Loos RJ; Hu FB; Wu T; Liu Y; Liu L; Hu R; Jia W; Ji L; Li Y; Lin X (2013)
      Substantial progress has been made in identification of type 2 diabetes (T2D) risk loci in the past few years, but our understanding of the genetic basis of T2D in ethnically diverse populations remains limited. We performed ...
    • Genome-wide association study identifies loci influencing concentrations of liver enzymes in plasma 

      Chambers JC; Zhang W; Sehmi J; Li X; Wass MN; van der Harst P; Holm H; Sanna S; Kavousi M; Baumeister SE; Coin LJ; Deng G; Gieger C; Heard-Costa NL; Hottenga JJ; Kühnel B; Kumar V; Lagou V; Liang L; Luan J; Vidal PM; Mateo Leach I; O'Reilly PF; Peden JF; Rahmioglu N; Soininen P; Speliotes EK; Yuan X; Thorleifsson G; Alizadeh BZ; Atwood LD; Borecki IB; Brown MJ; Charoen P; Cucca F; Das D; de Geus EJ; Dixon AL; Döring A; Ehret G; Eyjolfsson GI; Farrall M; Forouhi NG; Friedrich N; Goessling W; Gudbjartsson DF; Harris TB; Hartikainen AL; Heath S; Hirschfield GM; Hofman A; Homuth G; Hyppönen E; Janssen HL; Johnson T; Kangas AJ; Kema IP; Kühn JP; Lai S; Lathrop M; Lerch MM; Li Y; Liang TJ; Lin JP; Loos RJ; Martin NG; Moffatt MF; Montgomery GW; Munroe PB; Musunuru K; Nakamura Y; O'Donnell CJ; Olafsson I; Penninx BW; Pouta A; Prins BP; Prokopenko I; Puls R; Ruokonen A; Savolainen MJ; Schlessinger D; Schouten JN; Seedorf U; Sen-Chowdhry S; Siminovitch KA; Smit JH; Spector TD; Tan W; Teslovich TM; Tukiainen T; Uitterlinden AG; van der Klauw MM; Vasan RS; Wallace C; Wallaschofski H; Wichmann HE; Willemsen G; Würtz P; Xu C; Yerges-Armstrong LM; Alcohol Genome-wide Association (AlcGen) Consortium; DIAGRAM Consortium; Genetic Investigation of Anthropometric Traits (GIANT) Consortium; Global Lipids Genetics Consortium; Genetics of Liver Disease (GOLD) Consortium; International Consortium for Blood Pressure (ICBP-GWAS); MAGIC Consortium; Abecasis GR; Ahmadi KR; Boomsma DI; Caulfield M; Cookson WO; van Duijn CM; Froguel P; Matsuda K; McCarthy MI; Meisinger C; Mooser V; Pietiläinen KH; Schumann G; Snieder H; Sternberg MJ; Stolk RP; Thomas HC; Thorsteinsdottir U; Uda M; Waeber G; Wareham NJ; Waterworth DM; Watkins H; Whitfield JB; Witteman JC; Wolffenbuttel BH; Fox CS; Ala-Korpela M; Stefansson K; Vollenweider P; Völzke H; Schadt EE; Scott J; Järvelin MR; Elliott P; Kooner JS (2011)
      Concentrations of liver enzymes in plasma are widely used as indicators of liver disease. We carried out a genome-wide association study in 61,089 individuals, identifying 42 loci associated with concentrations of liver ...
    • Genome-wide association study identifies novel loci associated with circulating phospho- and sphingolipid concentrations 

      Demirkan A; van Duijn CM; Ugocsai P; Isaacs A; Pramstaller PP; Liebisch G; Wilson JF; Johansson Å; Rudan I; Aulchenko YS; Kirichenko AV; Janssens AC; Jansen RC; Gnewuch C; Domingues FS; Pattaro C; Wild SH; Jonasson I; Polasek O; Zorkoltseva IV; Hofman A; Karssen LC; Struchalin M; Floyd J; Igl W; Biloglav Z; Broer L; Pfeufer A; Pichler I; Campbell S; Zaboli G; Kolcic I; Rivadeneira F; Huffman J; Hastie ND; Uitterlinden A; Franke L; Franklin CS; Vitart V; DIAGRAM Consortium; Nelson CP; Preuss M; CARDIoGRAM Consortium; Bis JC; O'Donnell CJ; Franceschini N; CHARGE Consortium; Witteman JC; Axenovich T; Oostra BA; Meitinger T; Hicks AA; Hayward C; Wright AF; Gyllensten U; Campbell H; Schmitz G; EUROSPAN Consortium (2012)
      Phospho- and sphingolipids are crucial cellular and intracellular compounds. These lipids are required for active transport, a number of enzymatic processes, membrane formation, and cell signalling. Disruption of their ...