09616nas a2202929 4500008004100000022001400041245007900055210006900134260001600203300001100219490000800230520140900238653002201647653001201669653003701681653002101718653002101739653002801760653001101788653004001799653001101839653001701850653003401867653001301901653001101914653002101925653001101946653001001957653000901967653000901976653003901985653001402024653003602038653002602074653003102100653001802131100002402149700002002173700002102193700002502214700002602239700002102265700002602286700002002312700002302332700002302355700002902378700002402407700001802431700002002449700001902469700002302488700001902511700002402530700002502554700002102579700001902600700002502619700001902644700001802663700001602681700001702697700001602714700002002730700001702750700002002767700002002787700001802807700001602825700001702841700002402858700003002882700002102912700002102933700001802954700002002972700001402992700001803006700002003024700002103044700001803065700002103083700002003104700003003124700002103154700002303175700002203198700002303220700002403243700002503267700002003292700002403312700002403336700002203360700002803382700001703410700002303427700002203450700002003472700001703492700002603509700002003535700002003555700002203575700001903597700002003616700002503636700002003661700001703681700002403698700001803722700002003740700002003760700002003780700001903800700001603819700001903835700002003854700001703874700002003891700002603911700001903937700001903956700002703975700002304002700002204025700002004047700002104067700001904088700003004107700002404137700002604161700002504187700002204212700002004234700002204254700001904276700001804295700002404313700001904337700002104356700002704377700001704404700001804421700002004439700002304459700002204482700002404504700002204528700002304550700002104573700002204594700002404616700002004640700001804660700001904678700001904697700001904716700002704735700002604762700002004788700001604808700001804824700002404842700001904866700002104885700002804906700001804934700002204952700002204974700002404996700002205020700002305042700002205065700002005087700002205107700001905129700002005148700002205168700002305190700002005213700002205233700001805255700002205273700002005295700002405315700002305339700002505362700001905387700001805406700002205424700002405446700002105470700002305491700002005514700001905534700002505553700002305578700002405601700002405625700001905649700002505668700002805693700002905721700002405750700002105774700002005795700001805815700001805833700002105851700002705872700002005899700002205919700002305941700002305964700002105987700001606008700002806024700002406052700002206076700002106098700002106119700002406140700002206164700001806186700002206204700002506226700002006251700002206271700002106293700002306314700002006337700002106357700002406378700002206402700002406424700002506448700002506473700002006498700002106518700002306539700002006562700002506582700002106607700002206628856003606650 2010 eng d a1476-468700aBiological, clinical and population relevance of 95 loci for blood lipids.0 aBiological clinical and population relevance of 95 loci for bloo c2010 Aug 05 a707-130 v4663 a
Plasma concentrations of total cholesterol, low-density lipoprotein cholesterol, high-density lipoprotein cholesterol and triglycerides are among the most important risk factors for coronary artery disease (CAD) and are targets for therapeutic intervention. We screened the genome for common variants associated with plasma lipids in >100,000 individuals of European ancestry. Here we report 95 significantly associated loci (P < 5 x 10(-8)), with 59 showing genome-wide significant association with lipid traits for the first time. The newly reported associations include single nucleotide polymorphisms (SNPs) near known lipid regulators (for example, CYP7A1, NPC1L1 and SCARB1) as well as in scores of loci not previously implicated in lipoprotein metabolism. The 95 loci contribute not only to normal variation in lipid traits but also to extreme lipid phenotypes and have an impact on lipid traits in three non-European populations (East Asians, South Asians and African Americans). Our results identify several novel loci associated with plasma lipids that are also associated with CAD. Finally, we validated three of the novel genes-GALNT2, PPP1R3B and TTC39B-with experiments in mouse models. Taken together, our findings provide the foundation to develop a broader biological understanding of lipoprotein metabolism and to identify new therapeutic opportunities for the prevention of CAD.
10aAfrican Americans10aAnimals10aAsian Continental Ancestry Group10aCholesterol, HDL10aCholesterol, LDL10aCoronary Artery Disease10aEurope10aEuropean Continental Ancestry Group10aFemale10aGenetic Loci10aGenome-Wide Association Study10aGenotype10aHumans10aLipid Metabolism10aLipids10aLiver10aMale10aMice10aN-Acetylgalactosaminyltransferases10aPhenotype10aPolymorphism, Single Nucleotide10aProtein Phosphatase 110aReproducibility of Results10aTriglycerides1 aTeslovich, Tanya, M1 aMusunuru, Kiran1 aSmith, Albert, V1 aEdmondson, Andrew, C1 aStylianou, Ioannis, M1 aKoseki, Masahiro1 aPirruccello, James, P1 aRipatti, Samuli1 aChasman, Daniel, I1 aWiller, Cristen, J1 aJohansen, Christopher, T1 aFouchier, Sigrid, W1 aIsaacs, Aaron1 aPeloso, Gina, M1 aBarbalic, Maja1 aRicketts, Sally, L1 aBis, Joshua, C1 aAulchenko, Yurii, S1 aThorleifsson, Gudmar1 aFeitosa, Mary, F1 aChambers, John1 aOrho-Melander, Marju1 aMelander, Olle1 aJohnson, Toby1 aLi, Xiaohui1 aGuo, Xiuqing1 aLi, Mingyao1 aCho, Yoon, Shin1 aGo, Min, Jin1 aKim, Young, Jin1 aLee, Jong-Young1 aPark, Taesung1 aKim, Kyunga1 aSim, Xueling1 aOng, Rick, Twee-Hee1 aCroteau-Chonka, Damien, C1 aLange, Leslie, A1 aSmith, Joshua, D1 aSong, Kijoung1 aZhao, Jing, Hua1 aYuan, Xin1 aLuan, Jian'an1 aLamina, Claudia1 aZiegler, Andreas1 aZhang, Weihua1 aZee, Robert, Y L1 aWright, Alan, F1 aWitteman, Jacqueline, C M1 aWilson, James, F1 aWillemsen, Gonneke1 aWichmann, H-Erich1 aWhitfield, John, B1 aWaterworth, Dawn, M1 aWareham, Nicholas, J1 aWaeber, Gérard1 aVollenweider, Peter1 aVoight, Benjamin, F1 aVitart, Veronique1 aUitterlinden, André, G1 aUda, Manuela1 aTuomilehto, Jaakko1 aThompson, John, R1 aTanaka, Toshiko1 aSurakka, Ida1 aStringham, Heather, M1 aSpector, Tim, D1 aSoranzo, Nicole1 aSmit, Johannes, H1 aSinisalo, Juha1 aSilander, Kaisa1 aSijbrands, Eric, J G1 aScuteri, Angelo1 aScott, James1 aSchlessinger, David1 aSanna, Serena1 aSalomaa, Veikko1 aSaharinen, Juha1 aSabatti, Chiara1 aRuokonen, Aimo1 aRudan, Igor1 aRose, Lynda, M1 aRoberts, Robert1 aRieder, Mark1 aPsaty, Bruce, M1 aPramstaller, Peter, P1 aPichler, Irene1 aPerola, Markus1 aPenninx, Brenda, W J H1 aPedersen, Nancy, L1 aPattaro, Cristian1 aParker, Alex, N1 aParé, Guillaume1 aOostra, Ben, A1 aO'Donnell, Christopher, J1 aNieminen, Markku, S1 aNickerson, Deborah, A1 aMontgomery, Grant, W1 aMeitinger, Thomas1 aMcPherson, Ruth1 aMcCarthy, Mark, I1 aMcArdle, Wendy1 aMasson, David1 aMartin, Nicholas, G1 aMarroni, Fabio1 aMangino, Massimo1 aMagnusson, Patrik, K E1 aLucas, Gavin1 aLuben, Robert1 aLoos, Ruth, J F1 aLokki, Marja-Liisa1 aLettre, Guillaume1 aLangenberg, Claudia1 aLauner, Lenore, J1 aLakatta, Edward, G1 aLaaksonen, Reijo1 aKyvik, Kirsten, O1 aKronenberg, Florian1 aKönig, Inke, R1 aKhaw, Kay-Tee1 aKaprio, Jaakko1 aKaplan, Lee, M1 aJohansson, Asa1 aJarvelin, Marjo-Riitta1 aJanssens, Cecile, J W1 aIngelsson, Erik1 aIgl, Wilmar1 aHovingh, Kees1 aHottenga, Jouke-Jan1 aHofman, Albert1 aHicks, Andrew, A1 aHengstenberg, Christian1 aHeid, Iris, M1 aHayward, Caroline1 aHavulinna, Aki, S1 aHastie, Nicholas, D1 aHarris, Tamara, B1 aHaritunians, Talin1 aHall, Alistair, S1 aGyllensten, Ulf1 aGuiducci, Candace1 aGroop, Leif, C1 aGonzalez, Elena1 aGieger, Christian1 aFreimer, Nelson, B1 aFerrucci, Luigi1 aErdmann, Jeanette1 aElliott, Paul1 aEjebe, Kenechi, G1 aDöring, Angela1 aDominiczak, Anna, F1 aDemissie, Serkalem1 aDeloukas, Panagiotis1 aGeus, Eco, J C1 ade Faire, Ulf1 aCrawford, Gabriel1 aCollins, Francis, S1 aChen, Yii-der, I1 aCaulfield, Mark, J1 aCampbell, Harry1 aBurtt, Noel, P1 aBonnycastle, Lori, L1 aBoomsma, Dorret, I1 aBoekholdt, Matthijs1 aBergman, Richard, N1 aBarroso, Inês1 aBandinelli, Stefania1 aBallantyne, Christie, M1 aAssimes, Themistocles, L1 aQuertermous, Thomas1 aAltshuler, David1 aSeielstad, Mark1 aWong, Tien, Y1 aTai, E-Shyong1 aFeranil, Alan, B1 aKuzawa, Christopher, W1 aAdair, Linda, S1 aTaylor, Herman, A1 aBorecki, Ingrid, B1 aGabriel, Stacey, B1 aWilson, James, G1 aHolm, Hilma1 aThorsteinsdottir, Unnur1 aGudnason, Vilmundur1 aKrauss, Ronald, M1 aMohlke, Karen, L1 aOrdovas, Jose, M1 aMunroe, Patricia, B1 aKooner, Jaspal, S1 aTall, Alan, R1 aHegele, Robert, A1 aKastelein, John, J P1 aSchadt, Eric, E1 aRotter, Jerome, I1 aBoerwinkle, Eric1 aStrachan, David, P1 aMooser, Vincent1 aStefansson, Kari1 aReilly, Muredach, P1 aSamani, Nilesh, J1 aSchunkert, Heribert1 aCupples, Adrienne, L1 aSandhu, Manjinder, S1 aRidker, Paul, M1 aRader, Daniel, J1 aDuijn, Cornelia, M1 aPeltonen, Leena1 aAbecasis, Goncalo, R1 aBoehnke, Michael1 aKathiresan, Sekar uhttps://chs-nhlbi.org/node/122105209nas a2201129 4500008004100000022001400041245009100055210006900146260001600215300001300231490000600244520200900250653001502259653001002274653000902284653002202293653002802315653001002343653002102353653003202374653003202406653003102438653003102469653001902500653004002519653001102559653001702570653003402587653001102621653000902632653002702641653002102668653001602689653003602705653002002741653001602761100001802777700001702795700001702812700002302829700002502852700002002877700002002897700001902917700001802936700002402954700002702978700001703005700001703022700001903039700002803058700002603086700001903112700002703131700002303158700001503181700002003196700002603216700002203242700001903264700002203283700002003305700002303325700002403348700001903372700002203391700002203413700002003435700001603455700002203471700001803493700002603511700002103537700002203558700002403580700002003604700001703624700002203641700002303663700002803686700001703714700001903731700001603750700002703766700002103793700002303814700002203837700002203859700002103881700001903902700002403921700002403945700002803969700001803997710002804015856003604043 2010 eng d a1553-740400aFour novel Loci (19q13, 6q24, 12q24, and 5q14) influence the microcirculation in vivo.0 aFour novel Loci 19q13 6q24 12q24 and 5q14 influence the microcir c2010 Oct 28 ae10011840 v63 aThere is increasing evidence that the microcirculation plays an important role in the pathogenesis of cardiovascular diseases. Changes in retinal vascular caliber reflect early microvascular disease and predict incident cardiovascular events. We performed a genome-wide association study to identify genetic variants associated with retinal vascular caliber. We analyzed data from four population-based discovery cohorts with 15,358 unrelated Caucasian individuals, who are members of the Cohort for Heart and Aging Research in Genomic Epidemiology (CHARGE) consortium, and replicated findings in four independent Caucasian cohorts (n = 6,652). All participants had retinal photography and retinal arteriolar and venular caliber measured from computer software. In the discovery cohorts, 179 single nucleotide polymorphisms (SNP) spread across five loci were significantly associated (p<5.0×10(-8)) with retinal venular caliber, but none showed association with arteriolar caliber. Collectively, these five loci explain 1.0%-3.2% of the variation in retinal venular caliber. Four out of these five loci were confirmed in independent replication samples. In the combined analyses, the top SNPs at each locus were: rs2287921 (19q13; p = 1.61×10(-25), within the RASIP1 locus), rs225717 (6q24; p = 1.25×10(-16), adjacent to the VTA1 and NMBR loci), rs10774625 (12q24; p = 2.15×10(-13), in the region of ATXN2,SH2B3 and PTPN11 loci), and rs17421627 (5q14; p = 7.32×10(-16), adjacent to the MEF2C locus). In two independent samples, locus 12q24 was also associated with coronary heart disease and hypertension. Our population-based genome-wide association study demonstrates four novel loci associated with retinal venular caliber, an endophenotype of the microcirculation associated with clinical cardiovascular disease. These data provide further insights into the contribution and biological mechanisms of microcirculatory changes that underlie cardiovascular disease.
10aAdolescent10aAdult10aAged10aAged, 80 and over10aCardiovascular Diseases10aChild10aChild, Preschool10aChromosomes, Human, Pair 1210aChromosomes, Human, Pair 1910aChromosomes, Human, Pair 510aChromosomes, Human, Pair 610aCohort Studies10aEuropean Continental Ancestry Group10aFemale10aGenetic Loci10aGenome-Wide Association Study10aHumans10aMale10aMeta-Analysis as Topic10aMicrocirculation10aMiddle Aged10aPolymorphism, Single Nucleotide10aRetinal Vessels10aYoung Adult1 aIkram, Kamran1 aSim, Xueling1 aXueling, Sim1 aJensen, Richard, A1 aCotch, Mary, Frances1 aHewitt, Alex, W1 aIkram, Arfan, M1 aWang, Jie, Jin1 aKlein, Ronald1 aKlein, Barbara, E K1 aBreteler, Monique, M B1 aCheung, Ning1 aLiew, Gerald1 aMitchell, Paul1 aUitterlinden, André, G1 aRivadeneira, Fernando1 aHofman, Albert1 ade Jong, Paulus, T V M1 aDuijn, Cornelia, M1 aKao, Linda1 aCheng, Ching-Yu1 aSmith, Albert, Vernon1 aGlazer, Nicole, L1 aLumley, Thomas1 aMcKnight, Barbara1 aPsaty, Bruce, M1 aJonasson, Fridbert1 aEiriksdottir, Gudny1 aAspelund, Thor1 aHarris, Tamara, B1 aLauner, Lenore, J1 aTaylor, Kent, D1 aLi, Xiaohui1 aIyengar, Sudha, K1 aXi, Quansheng1 aSivakumaran, Theru, A1 aMackey, David, A1 aMacgregor, Stuart1 aMartin, Nicholas, G1 aYoung, Terri, L1 aBis, Josh, C1 aWiggins, Kerri, L1 aHeckbert, Susan, R1 aHammond, Christopher, J1 aAndrew, Toby1 aFahy, Samantha1 aAttia, John1 aHolliday, Elizabeth, G1 aScott, Rodney, J1 aIslam, F, M Amirul1 aRotter, Jerome, I1 aMcAuley, Annie, K1 aBoerwinkle, Eric1 aTai, Shyong, E1 aGudnason, Vilmundur1 aSiscovick, David, S1 aVingerling, Johannes, R1 aWong, Tien, Y1 aGlobal BPgen Consortium uhttps://chs-nhlbi.org/node/124303582nas a2200661 4500008004100000022001400041245009700055210006900152260001600221300001100237490000700248520163600255653001001891653000901901653003101910653002301941653003801964653003802002653003402040653001302074653002902087653001102116653001602127653001602143653003102159653003602190653003002226653002602256100002302282700002202305700002402327700002602351700001602377700002002393700002202413700002102435700002002456700002302476700002302499700001602522700002102538700001702559700002002576700002302596700002802619700002202647700002202669700002002691700001902711700002502730700002202755700002002777700002002797700002502817700002202842700002002864856003602884 2011 eng d a1552-578300aAssociation of polymorphisms in the hepatocyte growth factor gene promoter with keratoconus.0 aAssociation of polymorphisms in the hepatocyte growth factor gen c2011 Oct 31 a8514-90 v523 aPURPOSE: Keratoconus is a progressive disorder of the cornea that can lead to severe visual impairment or blindness. Although several genomic regions have been linked to rare familial forms of keratoconus, no genes have yet been definitively identified for common forms of the disease.
METHODS: Two genome-wide association scans were undertaken in parallel. The first used pooled DNA from an Australian cohort, followed by typing of top-ranked single-nucleotide polymorphisms (SNPs) in individual DNA samples. The second was conducted in individually genotyped patients, and controls from the USA. Tag SNPs around the hepatocyte growth factor (HGF) gene were typed in three additional replication cohorts. Serum levels of HGF protein in normal individuals were assessed with ELISA and correlated with genotype.
RESULTS: The only SNP observed to be associated in both the pooled discovery and primary replication cohort was rs1014091, located upstream of the HGF gene. The nearby SNP rs3735520 was found to be associated in the individually typed discovery cohort (P = 6.1 × 10(-7)). Genotyping of tag SNPs around HGF revealed association at rs3735520 and rs17501108/rs1014091 in four of the five cohorts. Meta-analysis of all five datasets together yielded suggestive P values for rs3735520 (P = 9.9 × 10(-7)) and rs17501108 (P = 9.9 × 10(-5)). In addition, SNP rs3735520 was found to be associated with serum HGF level in normal individuals (P = 0.036).
CONCLUSIONS: Taken together, these results implicate genetic variation at the HGF locus with keratoconus susceptibility.
10aAdult10aAged10aChromosomes, Human, Pair 710aCorneal Topography10aEnzyme-Linked Immunosorbent Assay10aGenetic Predisposition to Disease10aGenome-Wide Association Study10aGenotype10aHepatocyte Growth Factor10aHumans10aKeratoconus10aMiddle Aged10aNucleic Acid Hybridization10aPolymorphism, Single Nucleotide10aPromoter Regions, Genetic10aSequence Tagged Sites1 aBurdon, Kathryn, P1 aMacgregor, Stuart1 aBykhovskaya, Yelena1 aJavadiyan, Sharhbanou1 aLi, Xiaohui1 aLaurie, Kate, J1 aMuszynska, Dorota1 aLindsay, Richard1 aLechner, Judith1 aHaritunians, Talin1 aHenders, Anjali, K1 aDash, Durga1 aSiscovick, David1 aAnand, Seema1 aAldave, Anthony1 aCoster, Douglas, J1 aSzczotka-Flynn, Loretta1 aMills, Richard, A1 aIyengar, Sudha, K1 aTaylor, Kent, D1 aPhillips, Tony1 aMontgomery, Grant, W1 aRotter, Jerome, I1 aHewitt, Alex, W1 aSharma, Shiwani1 aRabinowitz, Yaron, S1 aWilloughby, Colin1 aCraig, Jamie, E uhttps://chs-nhlbi.org/node/134007377nas a2201945 4500008004100000022001400041245014700055210006900202260001600271300001100287490000600298520192200304653001002226653001602236653000902252653002202261653001202283653002502295653003102320653001902351653004202370653001102412653003402423653001302457653001902470653001102489653002002500653000902520653001602529653003302545653001402578653003602592653001702628653001602645100002402661700002202685700002002707700001602727700002102743700001702764700002002781700002002801700002002821700001902841700001702860700002202877700002302899700002502922700001702947700002202964700002502986700002003011700001903031700002303050700002203073700001903095700002103114700001803135700002203153700001503175700002203190700002203212700002003234700002503254700002103279700002403300700001603324700001803340700002703358700002103385700002503406700001903431700001803450700002603468700002103494700002303515700001903538700002403557700002503581700002003606700001803626700003003644700002203674700002003696700002103716700002203737700001903759700002003778700001803798700002403816700001903840700001903859700001803878700002703896700001803923700002303941700002803964700002103992700001604013700001904029700001704048700002304065700001804088700002104106700001804127700002004145700001804165700002904183700002104212700002004233700003004253700001904283700002304302700002304325700001904348700002004367700002104387700001404408700002604422700002204448700002204470700002204492700002104514700002004535700002604555700002804581700001904609700002304628700001904651700002104670700002004691700001804711700002204729700001604751700002904767700002404796700002104820700002004841700001904861700002504880700002204905700002404927700002504951700001704976700002004993700002005013700001905033700001605052700002305068700002005091700002305111700001705134700002005151700002205171700002105193700003005214700001705244700002205261700002305283700002105306700001905327700002505346700002405371856003605395 2012 eng d a1942-326800aAssociation between chromosome 9p21 variants and the ankle-brachial index identified by a meta-analysis of 21 genome-wide association studies.0 aAssociation between chromosome 9p21 variants and the anklebrachi c2012 Feb 01 a100-120 v53 aBACKGROUND: Genetic determinants of peripheral arterial disease (PAD) remain largely unknown. To identify genetic variants associated with the ankle-brachial index (ABI), a noninvasive measure of PAD, we conducted a meta-analysis of genome-wide association study data from 21 population-based cohorts.
METHODS AND RESULTS: Continuous ABI and PAD (ABI ≤0.9) phenotypes adjusted for age and sex were examined. Each study conducted genotyping and imputed data to the ≈2.5 million single nucleotide polymorphisms (SNPs) in HapMap. Linear and logistic regression models were used to test each SNP for association with ABI and PAD using additive genetic models. Study-specific data were combined using fixed effects inverse variance weighted meta-analyses. There were a total of 41 692 participants of European ancestry (≈60% women, mean ABI 1.02 to 1.19), including 3409 participants with PAD and with genome-wide association study data available. In the discovery meta-analysis, rs10757269 on chromosome 9 near CDKN2B had the strongest association with ABI (β=-0.006, P=2.46×10(-8)). We sought replication of the 6 strongest SNP associations in 5 population-based studies and 3 clinical samples (n=16 717). The association for rs10757269 strengthened in the combined discovery and replication analysis (P=2.65×10(-9)). No other SNP associations for ABI or PAD achieved genome-wide significance. However, 2 previously reported candidate genes for PAD and 1 SNP associated with coronary artery disease were associated with ABI: DAB21P (rs13290547, P=3.6×10(-5)), CYBA (rs3794624, P=6.3×10(-5)), and rs1122608 (LDLR, P=0.0026).
CONCLUSIONS: Genome-wide association studies in more than 40 000 individuals identified 1 genome wide significant association on chromosome 9p21 with ABI. Two candidate genes for PAD and 1 SNP for coronary artery disease are associated with ABI.
10aAdult10aAge Factors10aAged10aAged, 80 and over10aAlleles10aAnkle Brachial Index10aChromosomes, Human, Pair 910aCohort Studies10aCyclin-Dependent Kinase Inhibitor p1510aFemale10aGenome-Wide Association Study10aGenotype10aHapMap Project10aHumans10aLogistic Models10aMale10aMiddle Aged10aPeripheral Vascular Diseases10aPhenotype10aPolymorphism, Single Nucleotide10aRisk Factors10aSex Factors1 aMurabito, Joanne, M1 aWhite, Charles, C1 aKavousi, Maryam1 aSun, Yan, V1 aFeitosa, Mary, F1 aNambi, Vijay1 aLamina, Claudia1 aSchillert, Arne1 aCoassin, Stefan1 aBis, Joshua, C1 aBroer, Linda1 aCrawford, Dana, C1 aFranceschini, Nora1 aFrikke-Schmidt, Ruth1 aHaun, Margot1 aHolewijn, Suzanne1 aHuffman, Jennifer, E1 aHwang, Shih-Jen1 aKiechl, Stefan1 aKollerits, Barbara1 aMontasser, May, E1 aNolte, Ilja, M1 aRudock, Megan, E1 aSenft, Andrea1 aTeumer, Alexander1 aHarst, Pim1 aVitart, Veronique1 aWaite, Lindsay, L1 aWood, Andrew, R1 aWassel, Christina, L1 aAbsher, Devin, M1 aAllison, Matthew, A1 aAmin, Najaf1 aArnold, Alice1 aAsselbergs, Folkert, W1 aAulchenko, Yurii1 aBandinelli, Stefania1 aBarbalic, Maja1 aBoban, Mladen1 aBrown-Gentry, Kristin1 aCouper, David, J1 aCriqui, Michael, H1 aDehghan, Abbas1 aHeijer, Martin, den1 aDieplinger, Benjamin1 aDing, Jingzhong1 aDörr, Marcus1 aEspinola-Klein, Christine1 aFelix, Stephan, B1 aFerrucci, Luigi1 aFolsom, Aaron, R1 aFraedrich, Gustav1 aGibson, Quince1 aGoodloe, Robert1 aGunjaca, Grgo1 aHaltmayer, Meinhard1 aHeiss, Gerardo1 aHofman, Albert1 aKieback, Arne1 aKiemeney, Lambertus, A1 aKolcic, Ivana1 aKullo, Iftikhar, J1 aKritchevsky, Stephen, B1 aLackner, Karl, J1 aLi, Xiaohui1 aLieb, Wolfgang1 aLohman, Kurt1 aMeisinger, Christa1 aMelzer, David1 aMohler, Emile, R1 aMudnic, Ivana1 aMueller, Thomas1 aNavis, Gerjan1 aOberhollenzer, Friedrich1 aOlin, Jeffrey, W1 aO'Connell, Jeff1 aO'Donnell, Christopher, J1 aPalmas, Walter1 aPenninx, Brenda, W1 aPetersmann, Astrid1 aPolasek, Ozren1 aPsaty, Bruce, M1 aRantner, Barbara1 aRice, Ken1 aRivadeneira, Fernando1 aRotter, Jerome, I1 aSeldenrijk, Adrie1 aStadler, Marietta1 aSummerer, Monika1 aTanaka, Toshiko1 aTybjaerg-Hansen, Anne1 aUitterlinden, André, G1 aGilst, Wiek, H1 aVermeulen, Sita, H1 aWild, Sarah, H1 aWild, Philipp, S1 aWilleit, Johann1 aZeller, Tanja1 aZemunik, Tatijana1 aZgaga, Lina1 aAssimes, Themistocles, L1 aBlankenberg, Stefan1 aBoerwinkle, Eric1 aCampbell, Harry1 aCooke, John, P1 ade Graaf, Jacqueline1 aHerrington, David1 aKardia, Sharon, L R1 aMitchell, Braxton, D1 aMurray, Anna1 aMünzel, Thomas1 aNewman, Anne, B1 aOostra, Ben, A1 aRudan, Igor1 aShuldiner, Alan, R1 aSnieder, Harold1 aDuijn, Cornelia, M1 aVölker, Uwe1 aWright, Alan, F1 aWichmann, H-Erich1 aWilson, James, F1 aWitteman, Jacqueline, C M1 aLiu, Yongmei1 aHayward, Caroline1 aBorecki, Ingrid, B1 aZiegler, Andreas1 aNorth, Kari, E1 aCupples, Adrienne, L1 aKronenberg, Florian uhttps://chs-nhlbi.org/node/135903084nas a2200361 4500008004100000022001400041245017300055210006900228260001600297300001000313490000700323520191100330653002502241653003102266653001902297653002802316653002402344653003402368653001102402653001602413653003602429100001602465700002402481700002302505700002102528700002002549700002802569700002202597700002202619700002002641700002502661856003602686 2012 eng d a1460-208300aA genome-wide association study identifies a potential novel gene locus for keratoconus, one of the commonest causes for corneal transplantation in developed countries.0 agenomewide association study identifies a potential novel gene l c2012 Jan 15 a421-90 v213 aKeratoconus is a condition in which the cornea progressively thins over time, and is a major cause for cornea transplantation. To identify keratoconus susceptibility regions, we performed a comprehensive genome-wide association study (GWAS) using a discovery and replication design. A discovery panel of 222 keratoconus Caucasian patients and 3324 Caucasian controls was genotyped using Illumina 370K beadchips. Further associated and fine-mapping single nucleotide polymorphisms (SNPs) (n= 4905) were genotyped in an independent replication case-control panel of 304 cases and 518 controls and a family panel of 307 subjects in 70 families. Logistic regression models implemented in PLINK were performed to test associations in case-control samples with and without principal component (PC) adjustments. Generalized estimation equation models accounting for familial correlations implemented in GWAF were used for association testing in families. No genome-wide associations were identified in the discovery GWAS panel. From the initial testing without adjustments for PCs, the top three SNPs located at 3p26 (rs6442925), 2q21.3 (rs4954218) and 19q13.3 (rs1428642) were identified with unadjusted P-values of 6.5 × 10(-8), 2.4 × 10(-7) and 3.1 × 10(-7), respectively. After adjustments for PCs, rs1428642 became the most significant through the genome with a P-value of 1.4 × 10(-6), while rs6442925 and rs4954218 were less significant (P= 1.9 × 10(-5) and 2.6 × 10(-4)). SNP rs4954218 was confirmed in two independent replication panels with P-values of 0.004 and 0.009, respectively. Meta-analysis revealed a highest association at rs4954218 with adjusted P= 1.6 × 10(-7) (unadjusted P= 1.2 × 10(-9)). These findings suggest SNP rs4954218, located near the RAB3GAP1 gene, previously reported to be associated with corneal malformation, is a potential susceptibility locus for keratoconus.
10aCase-Control Studies10aChromosomes, Human, Pair 210aCohort Studies10aCorneal Transplantation10aDeveloped Countries10aGenome-Wide Association Study10aHumans10aKeratoconus10aPolymorphism, Single Nucleotide1 aLi, Xiaohui1 aBykhovskaya, Yelena1 aHaritunians, Talin1 aSiscovick, David1 aAldave, Anthony1 aSzczotka-Flynn, Loretta1 aIyengar, Sudha, K1 aRotter, Jerome, I1 aTaylor, Kent, D1 aRabinowitz, Yaron, S uhttps://chs-nhlbi.org/node/155521848nas a2207177 4500008004100000022001400041245015100055210006900206260000900275300001300284490000600297520178200303653001602085653002202101653003702123653002102160653003002181653004002211653001102251653002002262653003802282653003402320653002702354653001102381653002302392653000902415653003602424653003602460653002002496100001802516700002502534700002202559700002102581700001402602700002102616700002002637700001802657700002002675700002802695700002702723700002002750700002202770700001802792700001802810700002002828700002002848700001702868700001102885700002202896700002102918700001602939700001302955700002402968700003102992700002603023700002203049700001903071700002203090700001803112700001903130700002303149700002403172700002003196700001903216700002503235700002403260700001703284700002403301700001903325700002103344700002003365700002303385700002003408700002203428700002003450700001403470700001903484700002003503700002603523700002003549700002303569700001903592700002003611700002503631700002103656700002303677700002303700700002203723700002203745700002303767700002403790700002103814700001903835700002003854700001703874700001703891700001803908700002203926700002003948700001903968700002103987700002104008700002604029700002004055700002104075700002104096700002004117700001704137700001804154700001904172700002404191700002404215700001904239700002204258700002104280700002304301700002804324700002504352700001704377700001704394700002404411700002404435700002004459700002004479700001604499700001904515700002004534700002004554700002004574700002304594700002504617700002104642700002204663700002404685700002404709700002404733700002004757700002004777700002404797700002004821700001904841700002004860700002404880700002004904700003204924700002004956700001904976700002404995700001905019700002405038700002505062700002405087700002105111700002105132700001605153700001705169700002305186700002505209700002405234700002305258700002305281700001605304700001705320700002005337700002105357700002305378700002305401700001905424700002105443700002505464700003405489700002105523700002405544700001905568700002705587700002105614700002205635700001905657700002105676700002605697700002305723700002205746700002105768700002905789700001905818700002205837700001805859700001605877700001905893700002705912700002205939700001805961700002205979700002206001700001506023700002106038700002306059700002306082700001806105700002006123700001706143700002206160700002306182700001206205700002306217700002506240700002306265700001806288700002206306700002406328700002106352700001906373700001906392700002306411700002006434700002606454700001706480700002406497700002106521700002306542700002006565700002306585700002406608700001906632700002406651700001806675700002506693700001906718700002306737700002006760700002406780700002606804700001206830700001806842700002106860700001706881700002206898700002006920700002606940700002106966700003506987700002207022700002307044700002007067700002507087700002407112700002107136700002407157700001907181700002007200700001907220700002107239700002207260700001907282700002107301700002007322700001907342700002207361700002307383700001607406700002007422700002207442700002307464700002407487700001707511700002507528700002507553700002307578700002007601700001807621700002607639700001907665700001907684700001607703700001607719700002807735700002107763700001807784700002207802700002307824700002107847700002107868700002107889700002207910700002007932700002107952700002207973700002507995700001808020700002008038700001808058700001708076700001908093700002408112700001808136700001508154700001908169700001608188700003508204700001808239700002508257700001908282700002008301700001308321700002308334700001808357700002008375700002508395700002708420700002208447700002408469700002008493700001908513700002008532700002108552700001908573700002108592700002308613700002408636700002208660700001808682700002708700700002208727700001808749700001908767700002308786700002308809700002008832700001808852700001908870700002308889700002308912700002808935700002108963700002708984700001709011700002209028700002309050700001809073700002009091700002109111700001909132700001609151700002809167700002209195700002009217700002009237700002209257700002409279700001609303700001409319700002109333700001909354700002509373700001909398700002109417700002009438700001809458700002309476700002109499700002209520700002409542700002109566700001209587700001909599700002109618700003609639700002309675700002009698700002309718700001809741700001709759700002509776700002209801700001909823700002409842700001709866700001609883700002309899700002209922700002009944700001909964700002309983700002710006700001910033700001910052700002310071700002110094700001810115700002510133700002110158700001810179700002010197700002610217700002110243700002210264700002210286700001810308700002210326700001710348700001710365700002210382700002210404700002410426700002510450700002110475700001910496700002210515700002310537700001610560700001510576700001910591700002810610700001810638700002810656700002110684700001810705700002710723700002210750700002310772700002010795700002110815700001910836700001710855700001810872700001910890700002310909700002910932700002310961700002010984700002211004700001811026700001911044700002511063700002311088700002011111700002711131700002111158700002411179700002011203700002511223700001911248700002211267700001911289700002311308700001811331700002611349700001511375700002011390700001711410700002011427700001811447700002011465700002011485700002811505700002011533700002211553700002011575700002411595700001911619700002211638700002711660700002311687700001711710700002011727700002411747700001711771700001911788700002711807700002011834700002011854700001911874700002011893700002111913700002511934700002611959700002111985700002612006700002312032700002912055700002412084700002012108700001912128700002312147700001912170700002112189700002512210700001912235700001612254700001612270700001912286700001612305700002012321700002012341700001812361700001612379700001712395700002312412700003012435700002112465700002112486700002112507700001812528700002112546700002312567700002212590700001712612700002012629700002212649700001912671700001712690700002012707700002012727700001912747700002012766700001712786700002012803700002112823700003012844700002412874700002612898700002512924700001912949700001812968700002412986700001913010700001713029700001813046700002313064700002213087700002213109700002313131700002113154700002213175700002013197700001813217700001913235700001913254700002613273700001613299700001813315700002813333700002213361700002413383700002213407700002313429700002213452700001913474700002013493700002313513700002213536700002213558700002013580700002413600700002313624700002513647700001813672700002213690700002113712700002313733700002413756700002913780700002413809700002013833700001813853700001813871700002113889700002713910700002213937700002313959700001613982700002413998700002214022700002114044700002414065700002214089700001814111700002214129700002514151700002014176700002314196700002414219700002214243700002414265700002514289700002514314700002014339700002114359700002214380710002414402710002114426710002314447710002214470710002314492710002114515710002914536710002514565710002414590710002014614856003614634 2012 eng d a1553-740400aNovel loci for adiponectin levels and their influence on type 2 diabetes and metabolic traits: a multi-ethnic meta-analysis of 45,891 individuals.0 aNovel loci for adiponectin levels and their influence on type 2 c2012 ae10026070 v83 aCirculating levels of adiponectin, a hormone produced predominantly by adipocytes, are highly heritable and are inversely associated with type 2 diabetes mellitus (T2D) and other metabolic traits. We conducted a meta-analysis of genome-wide association studies in 39,883 individuals of European ancestry to identify genes associated with metabolic disease. We identified 8 novel loci associated with adiponectin levels and confirmed 2 previously reported loci (P = 4.5×10(-8)-1.2×10(-43)). Using a novel method to combine data across ethnicities (N = 4,232 African Americans, N = 1,776 Asians, and N = 29,347 Europeans), we identified two additional novel loci. Expression analyses of 436 human adipocyte samples revealed that mRNA levels of 18 genes at candidate regions were associated with adiponectin concentrations after accounting for multiple testing (p<3×10(-4)). We next developed a multi-SNP genotypic risk score to test the association of adiponectin decreasing risk alleles on metabolic traits and diseases using consortia-level meta-analytic data. This risk score was associated with increased risk of T2D (p = 4.3×10(-3), n = 22,044), increased triglycerides (p = 2.6×10(-14), n = 93,440), increased waist-to-hip ratio (p = 1.8×10(-5), n = 77,167), increased glucose two hours post oral glucose tolerance testing (p = 4.4×10(-3), n = 15,234), increased fasting insulin (p = 0.015, n = 48,238), but with lower in HDL-cholesterol concentrations (p = 4.5×10(-13), n = 96,748) and decreased BMI (p = 1.4×10(-4), n = 121,335). These findings identify novel genetic determinants of adiponectin levels, which, taken together, influence risk of T2D and markers of insulin resistance.
10aAdiponectin10aAfrican Americans10aAsian Continental Ancestry Group10aCholesterol, HDL10aDiabetes Mellitus, Type 210aEuropean Continental Ancestry Group10aFemale10aGene Expression10aGenetic Predisposition to Disease10aGenome-Wide Association Study10aGlucose Tolerance Test10aHumans10aInsulin Resistance10aMale10aMetabolic Networks and Pathways10aPolymorphism, Single Nucleotide10aWaist-Hip Ratio1 aDastani, Zari1 aHivert, Marie-France1 aTimpson, Nicholas1 aPerry, John, R B1 aYuan, Xin1 aScott, Robert, A1 aHenneman, Peter1 aHeid, Iris, M1 aKizer, Jorge, R1 aLyytikäinen, Leo-Pekka1 aFuchsberger, Christian1 aTanaka, Toshiko1 aMorris, Andrew, P1 aSmall, Kerrin1 aIsaacs, Aaron1 aBeekman, Marian1 aCoassin, Stefan1 aLohman, Kurt1 aQi, Lu1 aKanoni, Stavroula1 aPankow, James, S1 aUh, Hae-Won1 aWu, Ying1 aBidulescu, Aurelian1 aRasmussen-Torvik, Laura, J1 aGreenwood, Celia, M T1 aLadouceur, Martin1 aGrimsby, Jonna1 aManning, Alisa, K1 aLiu, Ching-Ti1 aKooner, Jaspal1 aMooser, Vincent, E1 aVollenweider, Peter1 aKapur, Karen, A1 aChambers, John1 aWareham, Nicholas, J1 aLangenberg, Claudia1 aFrants, Rune1 aWillems-Vandijk, Ko1 aOostra, Ben, A1 aWillems, Sara, M1 aLamina, Claudia1 aWinkler, Thomas, W1 aPsaty, Bruce, M1 aTracy, Russell, P1 aBrody, Jennifer1 aChen, Ida1 aViikari, Jorma1 aKähönen, Mika1 aPramstaller, Peter, P1 aEvans, David, M1 aSt Pourcain, Beate1 aSattar, Naveed1 aWood, Andrew, R1 aBandinelli, Stefania1 aCarlson, Olga, D1 aEgan, Josephine, M1 aBöhringer, Stefan1 avan Heemst, Diana1 aKedenko, Lyudmyla1 aKristiansson, Kati1 aNuotio, Marja-Liisa1 aLoo, Britt-Marie1 aHarris, Tamara1 aGarcia, Melissa1 aKanaya, Alka1 aHaun, Margot1 aKlopp, Norman1 aWichmann, H-Erich1 aDeloukas, Panos1 aKatsareli, Efi1 aCouper, David, J1 aDuncan, Bruce, B1 aKloppenburg, Margreet1 aAdair, Linda, S1 aBorja, Judith, B1 aWilson, James, G1 aMusani, Solomon1 aGuo, Xiuqing1 aJohnson, Toby1 aSemple, Robert1 aTeslovich, Tanya, M1 aAllison, Matthew, A1 aRedline, Susan1 aBuxbaum, Sarah, G1 aMohlke, Karen, L1 aMeulenbelt, Ingrid1 aBallantyne, Christie, M1 aDedoussis, George, V1 aHu, Frank, B1 aLiu, Yongmei1 aPaulweber, Bernhard1 aSpector, Timothy, D1 aSlagboom, Eline1 aFerrucci, Luigi1 aJula, Antti1 aPerola, Markus1 aRaitakari, Olli1 aFlorez, Jose, C1 aSalomaa, Veikko1 aEriksson, Johan, G1 aFrayling, Timothy, M1 aHicks, Andrew, A1 aLehtimäki, Terho1 aSmith, George Davey1 aSiscovick, David, S1 aKronenberg, Florian1 aDuijn, Cornelia1 aLoos, Ruth, J F1 aWaterworth, Dawn, M1 aMeigs, James, B1 aDupuis, Josée1 aRichards, Brent1 aVoight, Benjamin, F1 aScott, Laura, J1 aSteinthorsdottir, Valgerdur1 aDina, Christian1 aWelch, Ryan, P1 aZeggini, Eleftheria1 aHuth, Cornelia1 aAulchenko, Yurii, S1 aThorleifsson, Gudmar1 aMcCulloch, Laura, J1 aFerreira, Teresa1 aGrallert, Harald1 aAmin, Najaf1 aWu, Guanming1 aWiller, Cristen, J1 aRaychaudhuri, Soumya1 aMcCarroll, Steve, A1 aHofmann, Oliver, M1 aSegrè, Ayellet, V1 aHoek, Mandy1 aNavarro, Pau1 aArdlie, Kristin1 aBalkau, Beverley1 aBenediktsson, Rafn1 aBennett, Amanda, J1 aBlagieva, Roza1 aBoerwinkle, Eric1 aBonnycastle, Lori, L1 aBoström, Kristina, Bengtsson1 aBravenboer, Bert1 aBumpstead, Suzannah1 aBurtt, Noel, P1 aCharpentier, Guillaume1 aChines, Peter, S1 aCornelis, Marilyn1 aCrawford, Gabe1 aDoney, Alex, S F1 aElliott, Katherine, S1 aElliott, Amanda, L1 aErdos, Michael, R1 aFox, Caroline, S1 aFranklin, Christopher, S1 aGanser, Martha1 aGieger, Christian1 aGrarup, Niels1 aGreen, Todd1 aGriffin, Simon1 aGroves, Christopher, J1 aGuiducci, Candace1 aHadjadj, Samy1 aHassanali, Neelam1 aHerder, Christian1 aIsomaa, Bo1 aJackson, Anne, U1 aJohnson, Paul, R V1 aJørgensen, Torben1 aKao, Wen, H L1 aKong, Augustine1 aKraft, Peter1 aKuusisto, Johanna1 aLauritzen, Torsten1 aLi, Man1 aLieverse, Aloysius1 aLindgren, Cecilia, M1 aLyssenko, Valeriya1 aMarre, Michel1 aMeitinger, Thomas1 aMidthjell, Kristian1 aMorken, Mario, A1 aNarisu, Narisu1 aNilsson, Peter1 aOwen, Katharine, R1 aPayne, Felicity1 aPetersen, Ann-Kristin1 aPlatou, Carl1 aProença, Christine1 aProkopenko, Inga1 aRathmann, Wolfgang1 aRayner, William1 aRobertson, Neil, R1 aRocheleau, Ghislain1 aRoden, Michael1 aSampson, Michael, J1 aSaxena, Richa1 aShields, Beverley, M1 aShrader, Peter1 aSigurdsson, Gunnar1 aSparsø, Thomas1 aStrassburger, Klaus1 aStringham, Heather, M1 aSun, Qi1 aSwift, Amy, J1 aThorand, Barbara1 aTichet, Jean1 aTuomi, Tiinamaija1 avan Dam, Rob, M1 avan Haeften, Timon, W1 avan Herpt, Thijs1 avan Vliet-Ostaptchouk, Jana, V1 aWalters, Bragi, G1 aWeedon, Michael, N1 aWijmenga, Cisca1 aWitteman, Jacqueline1 aBergman, Richard, N1 aCauchi, Stephane1 aCollins, Francis, S1 aGloyn, Anna, L1 aGyllensten, Ulf1 aHansen, Torben1 aHide, Winston, A1 aHitman, Graham, A1 aHofman, Albert1 aHunter, David, J1 aHveem, Kristian1 aLaakso, Markku1 aMorris, Andrew, D1 aPalmer, Colin, N A1 aRudan, Igor1 aSijbrands, Eric1 aStein, Lincoln, D1 aTuomilehto, Jaakko1 aUitterlinden, Andre1 aWalker, Mark1 aWatanabe, Richard, M1 aAbecasis, Goncalo, R1 aBoehm, Bernhard, O1 aCampbell, Harry1 aDaly, Mark, J1 aHattersley, Andrew, T1 aPedersen, Oluf1 aBarroso, Inês1 aGroop, Leif1 aSladek, Rob1 aThorsteinsdottir, Unnur1 aWilson, James, F1 aIllig, Thomas1 aFroguel, Philippe1 aDuijn, Cornelia, M1 aStefansson, Kari1 aAltshuler, David1 aBoehnke, Michael1 aMcCarthy, Mark, I1 aSoranzo, Nicole1 aWheeler, Eleanor1 aGlazer, Nicole, L1 aBouatia-Naji, Nabila1 aMägi, Reedik1 aRandall, Joshua1 aElliott, Paul1 aRybin, Denis1 aDehghan, Abbas1 aHottenga, Jouke Jan1 aSong, Kijoung1 aGoel, Anuj1 aLajunen, Taina1 aDoney, Alex1 aCavalcanti-Proença, Christine1 aKumari, Meena1 aTimpson, Nicholas, J1 aZabena, Carina1 aIngelsson, Erik1 aAn, Ping1 aO'Connell, Jeffrey1 aLuan, Jian'an1 aElliott, Amanda1 aMcCarroll, Steven, A1 aRoccasecca, Rosa Maria1 aPattou, François1 aSethupathy, Praveen1 aAriyurek, Yavuz1 aBarter, Philip1 aBeilby, John, P1 aBen-Shlomo, Yoav1 aBergmann, Sven1 aBochud, Murielle1 aBonnefond, Amélie1 aBorch-Johnsen, Knut1 aBöttcher, Yvonne1 aBrunner, Eric1 aBumpstead, Suzannah, J1 aChen, Yii-Der Ida1 aChines, Peter1 aClarke, Robert1 aCoin, Lachlan, J M1 aCooper, Matthew, N1 aCrisponi, Laura1 aDay, Ian, N M1 aGeus, Eco, J C1 aDelplanque, Jerome1 aFedson, Annette, C1 aFischer-Rosinsky, Antje1 aForouhi, Nita, G1 aFranzosi, Maria Grazia1 aGalan, Pilar1 aGoodarzi, Mark, O1 aGraessler, Jürgen1 aGrundy, Scott1 aGwilliam, Rhian1 aHallmans, Göran1 aHammond, Naomi1 aHan, Xijing1 aHartikainen, Anna-Liisa1 aHayward, Caroline1 aHeath, Simon, C1 aHercberg, Serge1 aHillman, David, R1 aHingorani, Aroon, D1 aHui, Jennie1 aHung, Joe1 aKaakinen, Marika1 aKaprio, Jaakko1 aKesaniemi, Antero, Y1 aKivimaki, Mika1 aKnight, Beatrice1 aKoskinen, Seppo1 aKovacs, Peter1 aKyvik, Kirsten Ohm1 aLathrop, Mark, G1 aLawlor, Debbie, A1 aLe Bacquer, Olivier1 aLecoeur, Cécile1 aLi, Yun1 aMahley, Robert1 aMangino, Massimo1 aMartínez-Larrad, María Teresa1 aMcAteer, Jarred, B1 aMcPherson, Ruth1 aMeisinger, Christa1 aMelzer, David1 aMeyre, David1 aMitchell, Braxton, D1 aMukherjee, Sutapa1 aNaitza, Silvia1 aNeville, Matthew, J1 aOrrù, Marco1 aPakyz, Ruth1 aPaolisso, Giuseppe1 aPattaro, Cristian1 aPearson, Daniel1 aPeden, John, F1 aPedersen, Nancy, L1 aPfeiffer, Andreas, F H1 aPichler, Irene1 aPolasek, Ozren1 aPosthuma, Danielle1 aPotter, Simon, C1 aPouta, Anneli1 aProvince, Michael, A1 aRayner, Nigel, W1 aRice, Kenneth1 aRipatti, Samuli1 aRivadeneira, Fernando1 aRolandsson, Olov1 aSandbaek, Annelli1 aSandhu, Manjinder1 aSanna, Serena1 aSayer, Avan Aihie1 aScheet, Paul1 aSeedorf, Udo1 aSharp, Stephen, J1 aShields, Beverley1 aSigurðsson, Gunnar1 aSijbrands, Eric, J G1 aSilveira, Angela1 aSimpson, Laila1 aSingleton, Andrew1 aSmith, Nicholas, L1 aSovio, Ulla1 aSwift, Amy1 aSyddall, Holly1 aSyvänen, Ann-Christine1 aTönjes, Anke1 aUitterlinden, André, G1 aDijk, Ko Willems1 aVarma, Dhiraj1 aVisvikis-Siest, Sophie1 aVitart, Veronique1 aVogelzangs, Nicole1 aWaeber, Gérard1 aWagner, Peter, J1 aWalley, Andrew1 aWard, Kim, L1 aWatkins, Hugh1 aWild, Sarah, H1 aWillemsen, Gonneke1 aWitteman, Jaqueline, C M1 aYarnell, John, W G1 aZelenika, Diana1 aZethelius, Björn1 aZhai, Guangju1 aZhao, Jing Hua1 aZillikens, Carola, M1 aBorecki, Ingrid, B1 aMeneton, Pierre1 aMagnusson, Patrik, K E1 aNathan, David, M1 aWilliams, Gordon, H1 aSilander, Kaisa1 aBornstein, Stefan, R1 aSchwarz, Peter1 aSpranger, Joachim1 aKarpe, Fredrik1 aShuldiner, Alan, R1 aCooper, Cyrus1 aSerrano-Ríos, Manuel1 aLind, Lars1 aPalmer, Lyle, J1 aHu, Frank, B1 aFranks, Paul, W1 aEbrahim, Shah1 aMarmot, Michael1 aKao, Linda, W H1 aPramstaller, Peter Paul1 aWright, Alan, F1 aStumvoll, Michael1 aHamsten, Anders1 aBuchanan, Thomas, A1 aValle, Timo, T1 aRotter, Jerome, I1 aPenninx, Brenda, W J H1 aBoomsma, Dorret, I1 aCao, Antonio1 aScuteri, Angelo1 aSchlessinger, David1 aUda, Manuela1 aRuokonen, Aimo1 aJarvelin, Marjo-Riitta1 aPeltonen, Leena1 aMooser, Vincent1 aSladek, Robert1 aMusunuru, Kiran1 aSmith, Albert, V1 aEdmondson, Andrew, C1 aStylianou, Ioannis, M1 aKoseki, Masahiro1 aPirruccello, James, P1 aChasman, Daniel, I1 aJohansen, Christopher, T1 aFouchier, Sigrid, W1 aPeloso, Gina, M1 aBarbalic, Maja1 aRicketts, Sally, L1 aBis, Joshua, C1 aFeitosa, Mary, F1 aOrho-Melander, Marju1 aMelander, Olle1 aLi, Xiaohui1 aLi, Mingyao1 aCho, Yoon Shin1 aGo, Min Jin1 aKim, Young, Jin1 aLee, Jong-Young1 aPark, Taesung1 aKim, Kyunga1 aSim, Xueling1 aOng, Rick Twee-Hee1 aCroteau-Chonka, Damien, C1 aLange, Leslie, A1 aSmith, Joshua, D1 aZiegler, Andreas1 aZhang, Weihua1 aZee, Robert, Y L1 aWhitfield, John, B1 aThompson, John, R1 aSurakka, Ida1 aSpector, Tim, D1 aSmit, Johannes, H1 aSinisalo, Juha1 aScott, James1 aSaharinen, Juha1 aSabatti, Chiara1 aRose, Lynda, M1 aRoberts, Robert1 aRieder, Mark1 aParker, Alex, N1 aParé, Guillaume1 aO'Donnell, Christopher, J1 aNieminen, Markku, S1 aNickerson, Deborah, A1 aMontgomery, Grant, W1 aMcArdle, Wendy1 aMasson, David1 aMartin, Nicholas, G1 aMarroni, Fabio1 aLucas, Gavin1 aLuben, Robert1 aLokki, Marja-Liisa1 aLettre, Guillaume1 aLauner, Lenore, J1 aLakatta, Edward, G1 aLaaksonen, Reijo1 aKyvik, Kirsten, O1 aKönig, Inke, R1 aKhaw, Kay-Tee1 aKaplan, Lee, M1 aJohansson, Asa1 aJanssens, Cecile, J W1 aIgl, Wilmar1 aHovingh, Kees1 aHengstenberg, Christian1 aHavulinna, Aki, S1 aHastie, Nicholas, D1 aHarris, Tamara, B1 aHaritunians, Talin1 aHall, Alistair, S1 aGroop, Leif, C1 aGonzalez, Elena1 aFreimer, Nelson, B1 aErdmann, Jeanette1 aEjebe, Kenechi, G1 aDöring, Angela1 aDominiczak, Anna, F1 aDemissie, Serkalem1 aDeloukas, Panagiotis1 ade Faire, Ulf1 aCrawford, Gabriel1 aChen, Yii-der, I1 aCaulfield, Mark, J1 aBoekholdt, Matthijs1 aAssimes, Themistocles, L1 aQuertermous, Thomas1 aSeielstad, Mark1 aWong, Tien, Y1 aTai, E-Shyong1 aFeranil, Alan, B1 aKuzawa, Christopher, W1 aTaylor, Herman, A1 aGabriel, Stacey, B1 aHolm, Hilma1 aGudnason, Vilmundur1 aKrauss, Ronald, M1 aOrdovas, Jose, M1 aMunroe, Patricia, B1 aKooner, Jaspal, S1 aTall, Alan, R1 aHegele, Robert, A1 aKastelein, John, J P1 aSchadt, Eric, E1 aStrachan, David, P1 aReilly, Muredach, P1 aSamani, Nilesh, J1 aSchunkert, Heribert1 aCupples, Adrienne, L1 aSandhu, Manjinder, S1 aRidker, Paul, M1 aRader, Daniel, J1 aKathiresan, Sekar1 aDIAGRAM+ Consortium1 aMAGIC Consortium1 aGLGC Investigators1 aMuTHER Consortium1 aDIAGRAM Consortium1 aGIANT Consortium1 aGlobal B Pgen Consortium1 aProcardis Consortium1 aMAGIC investigators1 aGLGC Consortium uhttps://chs-nhlbi.org/node/137803175nas a2200409 4500008004100000022001400041245011900055210006900174260001600243300001100259490000700270520196300277653002502240653001102265653002302276653000802299653001102307653003802318653003402356653001302390653001102403653001602414653002602430653002902456100002402485700001602509700002302525700002302548700002102571700002002592700002802612700002202640700002002662700002202682700002502704856003602729 2012 eng d a1552-578300aVariation in the lysyl oxidase (LOX) gene is associated with keratoconus in family-based and case-control studies.0 aVariation in the lysyl oxidase LOX gene is associated with kerat c2012 Jun 28 a4152-70 v533 aPURPOSE: Keratoconus is a bilateral noninflammatory progressive corneal disorder with complex genetic inheritance and a common cause for cornea transplantation in young adults. A genomewide linkage scan in keratoconus families identified a locus at 5q23.2, overlapping the gene coding for the lysyl oxidase (LOX). LOX encodes an enzyme responsible for collagen cross-linking in a variety of tissues including the cornea. Corneal collagen cross-linking with long-wave ultraviolet light and riboflavin is a promising new treatment for keratoconus. To determine whether LOX is a genetic determinant of the pathogenesis of keratoconus, we analyzed association results of LOX polymorphisms in two independent case-control samples and in keratoconus families.
METHODS: Association results were analyzed of single-nucleotide polymorphisms (SNPs) in the LOX gene from a Genome-Wide Association Study (GWAS) investigation in two independent panels of patients with keratoconus and controls and in keratoconus families.
RESULTS: Evidence of association was found at SNPs rs10519694 and rs2956540 located in intron 4 of LOX in the GWAS discovery case-control panel with P values of 2.3×10(-3) and 7×10(-3), respectively. The same two SNPs were found to be associated with keratoconus by family-based association testing with P values of 2.7×10(-3) and 7.7×10(-4), respectively. Meta P values of 4.0×10(-5) and 4.0×10(-7) were calculated for SNPs rs10519694 and rs2956540 by analyzing case-control and family samples simultaneously. Sequencing of LOX exons in a subset of keratoconus patients identified two polymorphisms, rs1800449 and rs2288393, located in LOX transcripts I and II, associated with keratoconus in case-control and family samples with a meta P value of 0.02.
CONCLUSIONS: Results provided strong genetic evidence that LOX variants lead to increased susceptibility to developing of keratoconus.
10aCase-Control Studies10aCornea10aCorneal Topography10aDNA10aFamily10aGenetic Predisposition to Disease10aGenome-Wide Association Study10aGenotype10aHumans10aKeratoconus10aPolymorphism, Genetic10aProtein-Lysine 6-Oxidase1 aBykhovskaya, Yelena1 aLi, Xiaohui1 aEpifantseva, Irina1 aHaritunians, Talin1 aSiscovick, David1 aAldave, Anthony1 aSzczotka-Flynn, Loretta1 aIyengar, Sudha, K1 aTaylor, Kent, D1 aRotter, Jerome, I1 aRabinowitz, Yaron, S uhttps://chs-nhlbi.org/node/154310597nas a2203385 4500008004100000022001400041245009500055210006900150260001300219300001200232490000700244520112400251653002501375653002101400653002101421653002801442653001101470653003601481653001701517653001801534100001201552700002301564700002201587700002201609700001301631700002001644700002301664700002201687700001801709700001401727700002601741700001601767700002501783700003101808700002001839700001901859700002601878700002401904700002001928700001601948700002101964700002101985700002002006700002402026700002002050700002302070700002202093700002102115700002102136700001802157700002102175700001902196700001802215700002102233700002302254700002202277700001602299700001802315700002802333700002702361700002102388700002102409700002202430700003002452700001902482700002602501700002302527700001902550700002602569700001802595700001802613700002202631700001602653700002002669700001802689700001302707700002502720700001702745700002002762700002402782700002502806700002802831700002402859700002102883700002202904700001702926700001302943700001802956700001802974700001902992700001903011700002103030700002403051700002503075700002103100700002103121700002203142700002103164700002103185700002003206700001803226700002403244700003203268700001903300700002203319700002103341700002303362700002703385700002103412700002803433700002203461700002003483700002103503700001603524700001703540700001803557700002303575700002203598700002503620700001803645700001403663700001803677700002203695700001803717700002403735700002203759700001703781700002203798700002003820700002003840700002203860700002303882700002503905700002303930700002203953700001903975700002503994700002404019700002304043700001604066700001904082700002504101700002204126700001804148700002104166700002404187700002004211700002604231700001604257700001904273700001904292700002204311700001804333700002004351700002504371700002304396700001804419700002004437700002804457700002004485700002204505700002504527700002004552700001904572700002304591700001904614700002104633700002404654700001904678700002004697700002404717700002904741700002504770700002204795700002104817700002304838700002304861700002304884700002504907700001804932700002004950700002004970700002604990700002205016700002205038700002405060700002305084700001705107700002205124700001805146700002105164700002005185700002005205700002305225700002205248700001905270700002405289700002005313700002005333700002205353700002105375700002405396700001905420700001805439700002405457700002405481700002005505700002005525700002205545700002705567700001605594700002005610700001905630700002305649700001905672700002205691700002405713700002205737700001505759700002205774700002205796700001905818700001905837700001505856700002505871700002405896700002005920700002205940700002305962700002005985700002106005700002006026700002206046700002406068700002106092700002306113700001706136700002606153700002106179700002006200700002406220700002106244700002106265700002006286700002706306700002006333700002406353700002106377700002306398700002106421700002006442700002106462700002306483700002206506700001906528700002306547700002006570700002306590700002406613700002006637700002506657700002306682700003006705700002106735700002106756700002106777700002306798700002806821700002306849700002206872700002006894700002006914700002506934700002506959700002106984700002107005700002007026700002107046700002007067700002507087700001807112700002307130700002207153856003607175 2013 eng d a1546-171800aCommon variants associated with plasma triglycerides and risk for coronary artery disease.0 aCommon variants associated with plasma triglycerides and risk fo c2013 Nov a1345-520 v453 aTriglycerides are transported in plasma by specific triglyceride-rich lipoproteins; in epidemiological studies, increased triglyceride levels correlate with higher risk for coronary artery disease (CAD). However, it is unclear whether this association reflects causal processes. We used 185 common variants recently mapped for plasma lipids (P < 5 × 10(-8) for each) to examine the role of triglycerides in risk for CAD. First, we highlight loci associated with both low-density lipoprotein cholesterol (LDL-C) and triglyceride levels, and we show that the direction and magnitude of the associations with both traits are factors in determining CAD risk. Second, we consider loci with only a strong association with triglycerides and show that these loci are also associated with CAD. Finally, in a model accounting for effects on LDL-C and/or high-density lipoprotein cholesterol (HDL-C) levels, the strength of a polymorphism's effect on triglyceride levels is correlated with the magnitude of its effect on CAD risk. These results suggest that triglyceride-rich lipoproteins causally influence risk for CAD.
10aBiological Transport10aCholesterol, HDL10aCholesterol, LDL10aCoronary Artery Disease10aHumans10aPolymorphism, Single Nucleotide10aRisk Factors10aTriglycerides1 aDo, Ron1 aWiller, Cristen, J1 aSchmidt, Ellen, M1 aSengupta, Sebanti1 aGao, Chi1 aPeloso, Gina, M1 aGustafsson, Stefan1 aKanoni, Stavroula1 aGanna, Andrea1 aChen, Jin1 aBuchkovich, Martin, L1 aMora, Samia1 aBeckmann, Jacques, S1 aBragg-Gresham, Jennifer, L1 aChang, Hsing-Yi1 aDemirkan, Ayse1 aHertog, Heleen, M Den1 aDonnelly, Louise, A1 aEhret, Georg, B1 aEsko, Tõnu1 aFeitosa, Mary, F1 aFerreira, Teresa1 aFischer, Krista1 aFontanillas, Pierre1 aFraser, Ross, M1 aFreitag, Daniel, F1 aGurdasani, Deepti1 aHeikkilä, Kauko1 aHyppönen, Elina1 aIsaacs, Aaron1 aJackson, Anne, U1 aJohansson, Asa1 aJohnson, Toby1 aKaakinen, Marika1 aKettunen, Johannes1 aKleber, Marcus, E1 aLi, Xiaohui1 aLuan, Jian'an1 aLyytikäinen, Leo-Pekka1 aMagnusson, Patrik, K E1 aMangino, Massimo1 aMihailov, Evelin1 aMontasser, May, E1 aMüller-Nurasyid, Martina1 aNolte, Ilja, M1 aO'Connell, Jeffrey, R1 aPalmer, Cameron, D1 aPerola, Markus1 aPetersen, Ann-Kristin1 aSanna, Serena1 aSaxena, Richa1 aService, Susan, K1 aShah, Sonia1 aShungin, Dmitry1 aSidore, Carlo1 aSong, Ci1 aStrawbridge, Rona, J1 aSurakka, Ida1 aTanaka, Toshiko1 aTeslovich, Tanya, M1 aThorleifsson, Gudmar1 avan den Herik, Evita, G1 aVoight, Benjamin, F1 aVolcik, Kelly, A1 aWaite, Lindsay, L1 aWong, Andrew1 aWu, Ying1 aZhang, Weihua1 aAbsher, Devin1 aAsiki, Gershim1 aBarroso, Inês1 aBeen, Latonya, F1 aBolton, Jennifer, L1 aBonnycastle, Lori, L1 aBrambilla, Paolo1 aBurnett, Mary, S1 aCesana, Giancarlo1 aDimitriou, Maria1 aDoney, Alex, S F1 aDöring, Angela1 aElliott, Paul1 aEpstein, Stephen, E1 aEyjolfsson, Gudmundur, Ingi1 aGigante, Bruna1 aGoodarzi, Mark, O1 aGrallert, Harald1 aGravito, Martha, L1 aGroves, Christopher, J1 aHallmans, Göran1 aHartikainen, Anna-Liisa1 aHayward, Caroline1 aHernandez, Dena1 aHicks, Andrew, A1 aHolm, Hilma1 aHung, Yi-Jen1 aIllig, Thomas1 aJones, Michelle, R1 aKaleebu, Pontiano1 aKastelein, John, J P1 aKhaw, Kay-Tee1 aKim, Eric1 aKlopp, Norman1 aKomulainen, Pirjo1 aKumari, Meena1 aLangenberg, Claudia1 aLehtimäki, Terho1 aLin, Shih-Yi1 aLindström, Jaana1 aLoos, Ruth, J F1 aMach, François1 aMcArdle, Wendy, L1 aMeisinger, Christa1 aMitchell, Braxton, D1 aMüller, Gabrielle1 aNagaraja, Ramaiah1 aNarisu, Narisu1 aNieminen, Tuomo, V M1 aNsubuga, Rebecca, N1 aOlafsson, Isleifur1 aOng, Ken, K1 aPalotie, Aarno1 aPapamarkou, Theodore1 aPomilla, Cristina1 aPouta, Anneli1 aRader, Daniel, J1 aReilly, Muredach, P1 aRidker, Paul, M1 aRivadeneira, Fernando1 aRudan, Igor1 aRuokonen, Aimo1 aSamani, Nilesh1 aScharnagl, Hubert1 aSeeley, Janet1 aSilander, Kaisa1 aStančáková, Alena1 aStirrups, Kathleen1 aSwift, Amy, J1 aTiret, Laurence1 aUitterlinden, André, G1 avan Pelt, Joost1 aVedantam, Sailaja1 aWainwright, Nicholas1 aWijmenga, Cisca1 aWild, Sarah, H1 aWillemsen, Gonneke1 aWilsgaard, Tom1 aWilson, James, F1 aYoung, Elizabeth, H1 aZhao, Jing Hua1 aAdair, Linda, S1 aArveiler, Dominique1 aAssimes, Themistocles, L1 aBandinelli, Stefania1 aBennett, Franklyn1 aBochud, Murielle1 aBoehm, Bernhard, O1 aBoomsma, Dorret, I1 aBorecki, Ingrid, B1 aBornstein, Stefan, R1 aBovet, Pascal1 aBurnier, Michel1 aCampbell, Harry1 aChakravarti, Aravinda1 aChambers, John, C1 aChen, Yii-Der Ida1 aCollins, Francis, S1 aCooper, Richard, S1 aDanesh, John1 aDedoussis, George1 ade Faire, Ulf1 aFeranil, Alan, B1 aFerrieres, Jean1 aFerrucci, Luigi1 aFreimer, Nelson, B1 aGieger, Christian1 aGroop, Leif, C1 aGudnason, Vilmundur1 aGyllensten, Ulf1 aHamsten, Anders1 aHarris, Tamara, B1 aHingorani, Aroon1 aHirschhorn, Joel, N1 aHofman, Albert1 aHovingh, Kees1 aHsiung, Chao, Agnes1 aHumphries, Steve, E1 aHunt, Steven, C1 aHveem, Kristian1 aIribarren, Carlos1 aJarvelin, Marjo-Riitta1 aJula, Antti1 aKähönen, Mika1 aKaprio, Jaakko1 aKesäniemi, Antero1 aKivimaki, Mika1 aKooner, Jaspal, S1 aKoudstaal, Peter, J1 aKrauss, Ronald, M1 aKuh, Diana1 aKuusisto, Johanna1 aKyvik, Kirsten, O1 aLaakso, Markku1 aLakka, Timo, A1 aLind, Lars1 aLindgren, Cecilia, M1 aMartin, Nicholas, G1 aMärz, Winfried1 aMcCarthy, Mark, I1 aMcKenzie, Colin, A1 aMeneton, Pierre1 aMetspalu, Andres1 aMoilanen, Leena1 aMorris, Andrew, D1 aMunroe, Patricia, B1 aNjølstad, Inger1 aPedersen, Nancy, L1 aPower, Chris1 aPramstaller, Peter, P1 aPrice, Jackie, F1 aPsaty, Bruce, M1 aQuertermous, Thomas1 aRauramaa, Rainer1 aSaleheen, Danish1 aSalomaa, Veikko1 aSanghera, Dharambir, K1 aSaramies, Jouko1 aSchwarz, Peter, E H1 aSheu, Wayne, H-H1 aShuldiner, Alan, R1 aSiegbahn, Agneta1 aSpector, Tim, D1 aStefansson, Kari1 aStrachan, David, P1 aTayo, Bamidele, O1 aTremoli, Elena1 aTuomilehto, Jaakko1 aUusitupa, Matti1 aDuijn, Cornelia, M1 aVollenweider, Peter1 aWallentin, Lars1 aWareham, Nicholas, J1 aWhitfield, John, B1 aWolffenbuttel, Bruce, H R1 aAltshuler, David1 aOrdovas, Jose, M1 aBoerwinkle, Eric1 aPalmer, Colin, N A1 aThorsteinsdottir, Unnur1 aChasman, Daniel, I1 aRotter, Jerome, I1 aFranks, Paul, W1 aRipatti, Samuli1 aCupples, Adrienne, L1 aSandhu, Manjinder, S1 aRich, Stephen, S1 aBoehnke, Michael1 aDeloukas, Panos1 aMohlke, Karen, L1 aIngelsson, Erik1 aAbecasis, Goncalo, R1 aDaly, Mark, J1 aNeale, Benjamin, M1 aKathiresan, Sekar uhttps://chs-nhlbi.org/node/801410661nas a2203397 4500008004100000022001400041245006700055210006600122260001300188300001400201490000700215520110800222653003901330653003701369653002101406653002101427653002801448653004001476653003801516653003401554653001301588653001101601653001101612653001801623100002301641700002201664700002201686700002001708700002301728700002201751700001801773700001401791700002601805700001601831700002501847700003101872700002001903700001901923700002601942700001201968700002401980700002002004700001602024700002102040700002102061700002002082700002402102700002002126700002302146700002202169700002102191700002102212700001802233700002102251700001902272700001802291700002102309700002302330700002202353700001602375700001802391700002802409700002702437700002102464700002102485700002202506700003002528700001902558700002602577700002302603700001902626700002602645700001802671700001802689700002202707700001602729700002002745700001802765700001302783700002502796700001702821700002002838700002402858700002502882700002802907700002402935700002102959700002202980700001703002700001303019700001803032700001803050700001903068700001903087700002103106700002403127700002503151700002103176700002103197700002203218700002103240700002103261700002003282700001803302700002403320700003203344700001903376700002203395700002103417700002303438700002703461700002103488700002803509700002203537700002003559700002103579700001603600700001703616700001803633700002303651700002203674700002503696700001803721700001403739700001803753700002203771700001803793700002403811700002203835700001703857700002203874700002003896700002003916700002203936700002303958700002503981700002304006700002204029700001904051700002504070700002404095700002304119700001604142700001904158700002504177700002204202700001804224700002104242700002404263700002004287700002604307700001604333700001904349700001904368700002204387700001804409700002004427700002504447700002304472700001804495700002004513700002804533700002004561700002204581700002504603700002004628700001904648700002304667700001904690700002104709700002404730700001904754700002004773700002404793700002904817700002504846700002204871700002104893700002304914700002304937700002304960700002504983700001805008700002005026700002005046700002605066700002205092700002205114700002405136700002305160700001705183700002205200700001805222700002105240700002005261700002005281700002305301700002205324700001905346700002405365700002005389700002005409700002205429700002105451700002405472700001905496700001805515700002405533700002405557700002005581700002005601700002205621700002705643700001605670700002005686700001905706700002305725700001905748700002205767700002405789700002205813700001505835700002205850700002205872700001905894700001905913700001505932700002505947700002405972700002005996700002206016700002306038700002006061700002106081700002006102700002206122700002406144700002106168700002306189700001706212700002606229700002106255700002006276700002406296700002106320700002106341700002006362700002706382700002006409700002406429700002106453700002306474700002106497700002006518700002106538700002306559700002206582700001906604700002306623700002006646700002306666700002406689700002006713700002506733700002306758700003006781700002106811700002106832700002306853700002806876700002306904700002206927700002006949700002006969700002506989700002507014700002107039700002107060700002007081700002207101700002107123700002007144700002507164710003807189856003607227 2013 eng d a1546-171800aDiscovery and refinement of loci associated with lipid levels.0 aDiscovery and refinement of loci associated with lipid levels c2013 Nov a1274-12830 v453 aLevels of low-density lipoprotein (LDL) cholesterol, high-density lipoprotein (HDL) cholesterol, triglycerides and total cholesterol are heritable, modifiable risk factors for coronary artery disease. To identify new loci and refine known loci influencing these lipids, we examined 188,577 individuals using genome-wide and custom genotyping arrays. We identify and annotate 157 loci associated with lipid levels at P < 5 × 10(-8), including 62 loci not previously associated with lipid levels in humans. Using dense genotyping in individuals of European, East Asian, South Asian and African ancestry, we narrow association signals in 12 loci. We find that loci associated with blood lipid levels are often associated with cardiovascular and metabolic traits, including coronary artery disease, type 2 diabetes, blood pressure, waist-hip ratio and body mass index. Our results demonstrate the value of using genetic data from individuals of diverse ancestry and provide insights into the biological mechanisms regulating blood lipids to guide future genetic, biological and therapeutic research.
10aAfrican Continental Ancestry Group10aAsian Continental Ancestry Group10aCholesterol, HDL10aCholesterol, LDL10aCoronary Artery Disease10aEuropean Continental Ancestry Group10aGenetic Predisposition to Disease10aGenome-Wide Association Study10aGenotype10aHumans10aLipids10aTriglycerides1 aWiller, Cristen, J1 aSchmidt, Ellen, M1 aSengupta, Sebanti1 aPeloso, Gina, M1 aGustafsson, Stefan1 aKanoni, Stavroula1 aGanna, Andrea1 aChen, Jin1 aBuchkovich, Martin, L1 aMora, Samia1 aBeckmann, Jacques, S1 aBragg-Gresham, Jennifer, L1 aChang, Hsing-Yi1 aDemirkan, Ayse1 aHertog, Heleen, M Den1 aDo, Ron1 aDonnelly, Louise, A1 aEhret, Georg, B1 aEsko, Tõnu1 aFeitosa, Mary, F1 aFerreira, Teresa1 aFischer, Krista1 aFontanillas, Pierre1 aFraser, Ross, M1 aFreitag, Daniel, F1 aGurdasani, Deepti1 aHeikkilä, Kauko1 aHyppönen, Elina1 aIsaacs, Aaron1 aJackson, Anne, U1 aJohansson, Asa1 aJohnson, Toby1 aKaakinen, Marika1 aKettunen, Johannes1 aKleber, Marcus, E1 aLi, Xiaohui1 aLuan, Jian'an1 aLyytikäinen, Leo-Pekka1 aMagnusson, Patrik, K E1 aMangino, Massimo1 aMihailov, Evelin1 aMontasser, May, E1 aMüller-Nurasyid, Martina1 aNolte, Ilja, M1 aO'Connell, Jeffrey, R1 aPalmer, Cameron, D1 aPerola, Markus1 aPetersen, Ann-Kristin1 aSanna, Serena1 aSaxena, Richa1 aService, Susan, K1 aShah, Sonia1 aShungin, Dmitry1 aSidore, Carlo1 aSong, Ci1 aStrawbridge, Rona, J1 aSurakka, Ida1 aTanaka, Toshiko1 aTeslovich, Tanya, M1 aThorleifsson, Gudmar1 avan den Herik, Evita, G1 aVoight, Benjamin, F1 aVolcik, Kelly, A1 aWaite, Lindsay, L1 aWong, Andrew1 aWu, Ying1 aZhang, Weihua1 aAbsher, Devin1 aAsiki, Gershim1 aBarroso, Inês1 aBeen, Latonya, F1 aBolton, Jennifer, L1 aBonnycastle, Lori, L1 aBrambilla, Paolo1 aBurnett, Mary, S1 aCesana, Giancarlo1 aDimitriou, Maria1 aDoney, Alex, S F1 aDöring, Angela1 aElliott, Paul1 aEpstein, Stephen, E1 aEyjolfsson, Gudmundur, Ingi1 aGigante, Bruna1 aGoodarzi, Mark, O1 aGrallert, Harald1 aGravito, Martha, L1 aGroves, Christopher, J1 aHallmans, Göran1 aHartikainen, Anna-Liisa1 aHayward, Caroline1 aHernandez, Dena1 aHicks, Andrew, A1 aHolm, Hilma1 aHung, Yi-Jen1 aIllig, Thomas1 aJones, Michelle, R1 aKaleebu, Pontiano1 aKastelein, John, J P1 aKhaw, Kay-Tee1 aKim, Eric1 aKlopp, Norman1 aKomulainen, Pirjo1 aKumari, Meena1 aLangenberg, Claudia1 aLehtimäki, Terho1 aLin, Shih-Yi1 aLindström, Jaana1 aLoos, Ruth, J F1 aMach, François1 aMcArdle, Wendy, L1 aMeisinger, Christa1 aMitchell, Braxton, D1 aMüller, Gabrielle1 aNagaraja, Ramaiah1 aNarisu, Narisu1 aNieminen, Tuomo, V M1 aNsubuga, Rebecca, N1 aOlafsson, Isleifur1 aOng, Ken, K1 aPalotie, Aarno1 aPapamarkou, Theodore1 aPomilla, Cristina1 aPouta, Anneli1 aRader, Daniel, J1 aReilly, Muredach, P1 aRidker, Paul, M1 aRivadeneira, Fernando1 aRudan, Igor1 aRuokonen, Aimo1 aSamani, Nilesh1 aScharnagl, Hubert1 aSeeley, Janet1 aSilander, Kaisa1 aStančáková, Alena1 aStirrups, Kathleen1 aSwift, Amy, J1 aTiret, Laurence1 aUitterlinden, André, G1 avan Pelt, Joost1 aVedantam, Sailaja1 aWainwright, Nicholas1 aWijmenga, Cisca1 aWild, Sarah, H1 aWillemsen, Gonneke1 aWilsgaard, Tom1 aWilson, James, F1 aYoung, Elizabeth, H1 aZhao, Jing Hua1 aAdair, Linda, S1 aArveiler, Dominique1 aAssimes, Themistocles, L1 aBandinelli, Stefania1 aBennett, Franklyn1 aBochud, Murielle1 aBoehm, Bernhard, O1 aBoomsma, Dorret, I1 aBorecki, Ingrid, B1 aBornstein, Stefan, R1 aBovet, Pascal1 aBurnier, Michel1 aCampbell, Harry1 aChakravarti, Aravinda1 aChambers, John, C1 aChen, Yii-Der Ida1 aCollins, Francis, S1 aCooper, Richard, S1 aDanesh, John1 aDedoussis, George1 ade Faire, Ulf1 aFeranil, Alan, B1 aFerrieres, Jean1 aFerrucci, Luigi1 aFreimer, Nelson, B1 aGieger, Christian1 aGroop, Leif, C1 aGudnason, Vilmundur1 aGyllensten, Ulf1 aHamsten, Anders1 aHarris, Tamara, B1 aHingorani, Aroon1 aHirschhorn, Joel, N1 aHofman, Albert1 aHovingh, Kees1 aHsiung, Chao, Agnes1 aHumphries, Steve, E1 aHunt, Steven, C1 aHveem, Kristian1 aIribarren, Carlos1 aJarvelin, Marjo-Riitta1 aJula, Antti1 aKähönen, Mika1 aKaprio, Jaakko1 aKesäniemi, Antero1 aKivimaki, Mika1 aKooner, Jaspal, S1 aKoudstaal, Peter, J1 aKrauss, Ronald, M1 aKuh, Diana1 aKuusisto, Johanna1 aKyvik, Kirsten, O1 aLaakso, Markku1 aLakka, Timo, A1 aLind, Lars1 aLindgren, Cecilia, M1 aMartin, Nicholas, G1 aMärz, Winfried1 aMcCarthy, Mark, I1 aMcKenzie, Colin, A1 aMeneton, Pierre1 aMetspalu, Andres1 aMoilanen, Leena1 aMorris, Andrew, D1 aMunroe, Patricia, B1 aNjølstad, Inger1 aPedersen, Nancy, L1 aPower, Chris1 aPramstaller, Peter, P1 aPrice, Jackie, F1 aPsaty, Bruce, M1 aQuertermous, Thomas1 aRauramaa, Rainer1 aSaleheen, Danish1 aSalomaa, Veikko1 aSanghera, Dharambir, K1 aSaramies, Jouko1 aSchwarz, Peter, E H1 aSheu, Wayne, H-H1 aShuldiner, Alan, R1 aSiegbahn, Agneta1 aSpector, Tim, D1 aStefansson, Kari1 aStrachan, David, P1 aTayo, Bamidele, O1 aTremoli, Elena1 aTuomilehto, Jaakko1 aUusitupa, Matti1 aDuijn, Cornelia, M1 aVollenweider, Peter1 aWallentin, Lars1 aWareham, Nicholas, J1 aWhitfield, John, B1 aWolffenbuttel, Bruce, H R1 aOrdovas, Jose, M1 aBoerwinkle, Eric1 aPalmer, Colin, N A1 aThorsteinsdottir, Unnur1 aChasman, Daniel, I1 aRotter, Jerome, I1 aFranks, Paul, W1 aRipatti, Samuli1 aCupples, Adrienne, L1 aSandhu, Manjinder, S1 aRich, Stephen, S1 aBoehnke, Michael1 aDeloukas, Panos1 aKathiresan, Sekar1 aMohlke, Karen, L1 aIngelsson, Erik1 aAbecasis, Goncalo, R1 aGlobal Lipids Genetics Consortium uhttps://chs-nhlbi.org/node/615403265nas a2200469 4500008004100000022001400041245013900055210006900194260001600263300001300279490000700292520188400299653001002183653000902193653002002202653001102222653002302233653000802256653001102264653003802275653003402313653001302347653001102360653001602371653000902387653002502396653001602421653003602437653003402473100001602507700002402523700002802547700002302575700002102598700002302619700002802642700002202670700002202692700002002714700002502734856003602759 2013 eng d a1552-578300aGenetic association of COL5A1 variants in keratoconus patients suggests a complex connection between corneal thinning and keratoconus.0 aGenetic association of COL5A1 variants in keratoconus patients s c2013 Apr 12 a2696-7040 v543 aPURPOSE: Single nucleotide polymorphisms (SNPs) located near or within the COL5A1 gene, at 9q34.2-q34.3 chromosomal region have been reported in association with central corneal thickness (CCT). Using family linkage analysis, we identified a keratoconus susceptibility locus at 9q34. These findings led us to perform an association study between COL5A1 variation and keratoconus susceptibility.
METHODS: A Caucasian case-control cohort of 222 keratoconus patients and 3324 controls was selected as the discovery panel. An independent case-control panel of 304 cases and 518 controls and a family panel of 186 subjects were replicated for genotyping and association. Forty-four SNPs (21 for discovery and 23 for fine-mapping) spanning 300 kilobases in and around COL5A1 were genotyped and tested for genetic association. Logistic regression models implemented in PLINK were used to test for association in case controls. Generalized estimating equation models accounting for familial correlations implemented in genome-wide interaction analyses with family data were used for association testing in families.
RESULTS: Two CCT associated SNPs (rs1536482 and rs7044529 near and within COL5A1) were identified in the keratoconus discovery cohort (P values of 6.5 × 10(-3) and 7.4 × 10(-3)). SNP rs1536482 was replicated in the second case-control sample (P = 0.02), and SNP rs7044529 was replicated in a keratoconus family panel (P = 0.03). Meta P values of rs1536482 and rs7044529 in the keratoconus cohorts were 1.5 × 10(-4) (odds ratio [OR] = 1.30) and 2.9 × 10(-3) (OR = 1.39). After Bonferroni correction, the association of SNP rs1536482 remained significant (P = 6.5 × 10(-3)).
CONCLUSIONS: SNPs in the COL5A1 region, which regulate normal variation in CCT, may play a role in the thinning associated with keratoconus.
10aAdult10aAged10aCollagen Type V10aCornea10aCorneal Topography10aDNA10aFemale10aGenetic Predisposition to Disease10aGenome-Wide Association Study10aGenotype10aHumans10aKeratoconus10aMale10aMicroscopy, Acoustic10aMiddle Aged10aPolymorphism, Single Nucleotide10aTomography, Optical Coherence1 aLi, Xiaohui1 aBykhovskaya, Yelena1 aCanedo, Ana, Laura Caia1 aHaritunians, Talin1 aSiscovick, David1 aAldave, Anthony, J1 aSzczotka-Flynn, Loretta1 aIyengar, Sudha, K1 aRotter, Jerome, I1 aTaylor, Kent, D1 aRabinowitz, Yaron, S uhttps://chs-nhlbi.org/node/607604387nas a2201021 4500008004100000022001400041245005800055210005700113260000900170300001100179490000600190520154700196653000901743653002201752653001501774653003101789653004001820653001101860653001701871653003401888653001301922653001101935653000901946653003101955653002101986653001602007653002002023653002002043100001702063700002302080700001802103700002502121700001602146700002202162700001402184700002602198700002102224700001902245700001802264700002402282700002202306700001902328700002202347700002002369700002702389700001902416700002602435700002802461700002302489700001902512700002402531700002202555700002302577700002202600700001602622700001902638700002002657700002702677700002002704700002202724700002102746700002402767700001202791700002302803700002202826700001702848700002002865700002002885700002402905700002502929700001402954700002002968700002102988700002703009700002103036700002303057700002203080700002203102700001903124700002403143700002803167700002403195700001903219700001803238710004503256710002803301856003603329 2013 eng d a1932-620300aGenetic loci for retinal arteriolar microcirculation.0 aGenetic loci for retinal arteriolar microcirculation c2013 ae658040 v83 aNarrow arterioles in the retina have been shown to predict hypertension as well as other vascular diseases, likely through an increase in the peripheral resistance of the microcirculatory flow. In this study, we performed a genome-wide association study in 18,722 unrelated individuals of European ancestry from the Cohorts for Heart and Aging Research in Genomic Epidemiology consortium and the Blue Mountain Eye Study, to identify genetic determinants associated with variations in retinal arteriolar caliber. Retinal vascular calibers were measured on digitized retinal photographs using a standardized protocol. One variant (rs2194025 on chromosome 5q14 near the myocyte enhancer factor 2C MEF2C gene) was associated with retinal arteriolar caliber in the meta-analysis of the discovery cohorts at genome-wide significance of P-value <5×10(-8). This variant was replicated in an additional 3,939 individuals of European ancestry from the Australian Twins Study and Multi-Ethnic Study of Atherosclerosis (rs2194025, P-value = 2.11×10(-12) in combined meta-analysis of discovery and replication cohorts). In independent studies of modest sample sizes, no significant association was found between this variant and clinical outcomes including coronary artery disease, stroke, myocardial infarction or hypertension. In conclusion, we found one novel loci which underlie genetic variation in microvasculature which may be relevant to vascular disease. The relevance of these findings to clinical outcomes remains to be determined.
10aAged10aAged, 80 and over10aArterioles10aChromosomes, Human, Pair 510aEuropean Continental Ancestry Group10aFemale10aGenetic Loci10aGenome-Wide Association Study10aGenotype10aHumans10aMale10aMEF2 Transcription Factors10aMicrocirculation10aMiddle Aged10aModels, Genetic10aRetinal Vessels1 aSim, Xueling1 aJensen, Richard, A1 aIkram, Kamran1 aCotch, Mary, Frances1 aLi, Xiaohui1 aMacgregor, Stuart1 aXie, Jing1 aSmith, Albert, Vernon1 aBoerwinkle, Eric1 aMitchell, Paul1 aKlein, Ronald1 aKlein, Barbara, E K1 aGlazer, Nicole, L1 aLumley, Thomas1 aMcKnight, Barbara1 aPsaty, Bruce, M1 ade Jong, Paulus, T V M1 aHofman, Albert1 aRivadeneira, Fernando1 aUitterlinden, André, G1 aDuijn, Cornelia, M1 aAspelund, Thor1 aEiriksdottir, Gudny1 aHarris, Tamara, B1 aJonasson, Fridbert1 aLauner, Lenore, J1 aAttia, John1 aBaird, Paul, N1 aHarrap, Stephen1 aHolliday, Elizabeth, G1 aInouye, Michael1 aRochtchina, Elena1 aScott, Rodney, J1 aViswanathan, Ananth1 aLi, Guo1 aSmith, Nicholas, L1 aWiggins, Kerri, L1 aKuo, Jane, Z1 aTaylor, Kent, D1 aHewitt, Alex, W1 aMartin, Nicholas, G1 aMontgomery, Grant, W1 aSun, Cong1 aYoung, Terri, L1 aMackey, David, A1 avan Zuydam, Natalie, R1 aDoney, Alex, S F1 aPalmer, Colin, N A1 aMorris, Andrew, D1 aRotter, Jerome, I1 aTai, Shyong, E1 aGudnason, Vilmundur1 aVingerling, Johannes, R1 aSiscovick, David, S1 aWang, Jie, Jin1 aWong, Tien, Y1 aWellcome Trust Case Control Consortium 21 aGlobal BPgen Consortium uhttps://chs-nhlbi.org/node/602704413nas a2200889 4500008004100000022001400041245008200055210006900137260000900206300001100215490000600226520194300232653000902175653002202184653001102206653003402217653001302251653002502264653001102289653001702300653000902317653003602326653002302362653002102385100002302406700001702429700001602446700002502462700001802487700002702505700002402532700002202556700002302578700002402601700002202625700002602647700002102673700001702694700002002711700001702731700001902748700001902767700001602786700001802802700002202820700001902842700002202861700002002883700001702903700001902920700002702939700002602966700002802992700001803020700001903038700002003057700001703077700002003094700001903114700001403133700002203147700003003169700001903199700002203218700001703240700002303257700002403280700001803304700002403322700002203346700001503368700002503383700001803408710003903426710002203465856003603487 2013 eng d a1932-620300aGenome-wide association study of retinopathy in individuals without diabetes.0 aGenomewide association study of retinopathy in individuals witho c2013 ae542320 v83 aBACKGROUND: Mild retinopathy (microaneurysms or dot-blot hemorrhages) is observed in persons without diabetes or hypertension and may reflect microvascular disease in other organs. We conducted a genome-wide association study (GWAS) of mild retinopathy in persons without diabetes.
METHODS: A working group agreed on phenotype harmonization, covariate selection and analytic plans for within-cohort GWAS. An inverse-variance weighted fixed effects meta-analysis was performed with GWAS results from six cohorts of 19,411 Caucasians. The primary analysis included individuals without diabetes and secondary analyses were stratified by hypertension status. We also singled out the results from single nucleotide polymorphisms (SNPs) previously shown to be associated with diabetes and hypertension, the two most common causes of retinopathy.
RESULTS: No SNPs reached genome-wide significance in the primary analysis or the secondary analysis of participants with hypertension. SNP, rs12155400, in the histone deacetylase 9 gene (HDAC9) on chromosome 7, was associated with retinopathy in analysis of participants without hypertension, -1.3±0.23 (beta ± standard error), p = 6.6×10(-9). Evidence suggests this was a false positive finding. The minor allele frequency was low (∼2%), the quality of the imputation was moderate (r(2) ∼0.7), and no other common variants in the HDAC9 gene were associated with the outcome. SNPs found to be associated with diabetes and hypertension in other GWAS were not associated with retinopathy in persons without diabetes or in subgroups with or without hypertension.
CONCLUSIONS: This GWAS of retinopathy in individuals without diabetes showed little evidence of genetic associations. Further studies are needed to identify genes associated with these signs in order to help unravel novel pathways and determinants of microvascular diseases.
10aAged10aAged, 80 and over10aFemale10aGenome-Wide Association Study10aGenotype10aHistone Deacetylases10aHumans10aHypertension10aMale10aPolymorphism, Single Nucleotide10aRepressor Proteins10aRetinal Diseases1 aJensen, Richard, A1 aSim, Xueling1 aLi, Xiaohui1 aCotch, Mary, Frances1 aIkram, Kamran1 aHolliday, Elizabeth, G1 aEiriksdottir, Gudny1 aHarris, Tamara, B1 aJonasson, Fridbert1 aKlein, Barbara, E K1 aLauner, Lenore, J1 aSmith, Albert, Vernon1 aBoerwinkle, Eric1 aCheung, Ning1 aHewitt, Alex, W1 aLiew, Gerald1 aMitchell, Paul1 aWang, Jie, Jin1 aAttia, John1 aScott, Rodney1 aGlazer, Nicole, L1 aLumley, Thomas1 aMcKnight, Barbara1 aPsaty, Bruce, M1 aTaylor, Kent1 aHofman, Albert1 ade Jong, Paulus, T V M1 aRivadeneira, Fernando1 aUitterlinden, André, G1 aTay, Wan-Ting1 aTeo, Yik, Ying1 aSeielstad, Mark1 aLiu, Jianjun1 aCheng, Ching-Yu1 aSaw, Seang-Mei1 aAung, Tin1 aGanesh, Santhi, K1 aO'Donnell, Christopher, J1 aNalls, Mike, A1 aWiggins, Kerri, L1 aKuo, Jane, Z1 aDuijn, Cornelia, M1 aGudnason, Vilmundur1 aKlein, Ronald1 aSiscovick, David, S1 aRotter, Jerome, I1 aTai, Shong1 aVingerling, Johannes1 aWong, Tien, Y1 aBlue Mountains Eye Study GWAS Team1 aCKDGen Consortium uhttps://chs-nhlbi.org/node/607204392nas a2200841 4500008004100000022001400041245013900055210006900194260000900263300001100272490000600283520190900289653002202198653002402220653003802244653003402282653001302316653001102329653003902340653002502379653002602404653003602430653001302466653001702479653002902496100002702525700002102552700002302573700003202596700002302628700001702651700001902668700001402687700001902701700002102720700002102741700002302762700002402785700002402809700001902833700002002852700002002872700002302892700002402915700001902939700001602958700001702974700001902991700002203010700002203032700001903054700002003073700002203093700002203115700002103137700001703158700001703175700001903192700002803211700002403239700001603263700002803279700002603307700001903333700002103352700001803373700002503391700001803416700001603434700001903450710004503469856003603514 2013 eng d a1932-620300aInsights into the genetic architecture of early stage age-related macular degeneration: a genome-wide association study meta-analysis.0 aInsights into the genetic architecture of early stage agerelated c2013 ae538300 v83 aGenetic factors explain a majority of risk variance for age-related macular degeneration (AMD). While genome-wide association studies (GWAS) for late AMD implicate genes in complement, inflammatory and lipid pathways, the genetic architecture of early AMD has been relatively under studied. We conducted a GWAS meta-analysis of early AMD, including 4,089 individuals with prevalent signs of early AMD (soft drusen and/or retinal pigment epithelial changes) and 20,453 individuals without these signs. For various published late AMD risk loci, we also compared effect sizes between early and late AMD using an additional 484 individuals with prevalent late AMD. GWAS meta-analysis confirmed previously reported association of variants at the complement factor H (CFH) (peak P = 1.5×10(-31)) and age-related maculopathy susceptibility 2 (ARMS2) (P = 4.3×10(-24)) loci, and suggested Apolipoprotein E (ApoE) polymorphisms (rs2075650; P = 1.1×10(-6)) associated with early AMD. Other possible loci that did not reach GWAS significance included variants in the zinc finger protein gene GLI3 (rs2049622; P = 8.9×10(-6)) and upstream of GLI2 (rs6721654; P = 6.5×10(-6)), encoding retinal Sonic hedgehog signalling regulators, and in the tyrosinase (TYR) gene (rs621313; P = 3.5×10(-6)), involved in melanin biosynthesis. For a range of published, late AMD risk loci, estimated effect sizes were significantly lower for early than late AMD. This study confirms the involvement of multiple established AMD risk variants in early AMD, but suggests weaker genetic effects on the risk of early AMD relative to late AMD. Several biological processes were suggested to be potentially specific for early AMD, including pathways regulating RPE cell melanin content and signalling pathways potentially involved in retinal regeneration, generating hypotheses for further investigation.
10aApolipoproteins E10aComplement Factor H10aGenetic Predisposition to Disease10aGenome-Wide Association Study10aGenotype10aHumans10aKruppel-Like Transcription Factors10aMacular Degeneration10aNerve Tissue Proteins10aPolymorphism, Single Nucleotide10aProteins10aRisk Factors10aZinc Finger Protein Gli31 aHolliday, Elizabeth, G1 aSmith, Albert, V1 aCornes, Belinda, K1 aBuitendijk, Gabriëlle, H S1 aJensen, Richard, A1 aSim, Xueling1 aAspelund, Thor1 aAung, Tin1 aBaird, Paul, N1 aBoerwinkle, Eric1 aCheng, Ching, Yu1 aDuijn, Cornelia, M1 aEiriksdottir, Gudny1 aGudnason, Vilmundur1 aHarris, Tamara1 aHewitt, Alex, W1 aInouye, Michael1 aJonasson, Fridbert1 aKlein, Barbara, E K1 aLauner, Lenore1 aLi, Xiaohui1 aLiew, Gerald1 aLumley, Thomas1 aMcElduff, Patrick1 aMcKnight, Barbara1 aMitchell, Paul1 aPsaty, Bruce, M1 aRochtchina, Elena1 aRotter, Jerome, I1 aScott, Rodney, J1 aTay, Wanting1 aTaylor, Kent1 aTeo, Yik, Ying1 aUitterlinden, André, G1 aViswanathan, Ananth1 aXie, Sophia1 aVingerling, Johannes, R1 aKlaver, Caroline, C W1 aTai, Shyong, E1 aSiscovick, David1 aKlein, Ronald1 aCotch, Mary, Frances1 aWong, Tien, Y1 aAttia, John1 aWang, Jie, Jin1 aWellcome Trust Case Control Consortium 2 uhttps://chs-nhlbi.org/node/587504872nas a2201453 4500008004100000022001400041245010900055210006900164260001600233300000900249490000600258520072200264653002100986653003401007653001101041653005101052653002101103653003601124100001801160700002001178700002501198700002301223700001601246700002101262700002301283700001701306700002501323700002401348700002201372700002201394700001901416700001701435700002001452700001201472700002101484700002101505700002801526700002301554700002501577700002001602700002401622700001401646700002601660700002001686700001901706700002401725700001701749700001801766700001901784700002201803700001801825700002201843700001901865700002601884700002101910700002501931700002401956700001801980700002501998700002202023700002102045700001702066700002402083700001602107700001602123700001902139700002202158700001602180700001902196700001902215700001802234700002302252700001902275700002102294700001802315700002102333700002002354700003002374700002702404700001602431700002202447700001802469700001602487700001702503700002302520700001602543700002202559700002102581700002602602700002002628700002502648700002802673700002402701700002302725700002202748700001902770700002302789700002302812700002202835700002002857700002302877700002802900700001902928700002602947700002002973700002102993700002003014700002403034700001703058700002103075700002803096700002203124700002203146700002003168700002303188700002403211700002203235700001903257700002203276700001903298700002303317710004203340856003603382 2014 eng d a2041-172300aPharmacogenetic meta-analysis of genome-wide association studies of LDL cholesterol response to statins.0 aPharmacogenetic metaanalysis of genomewide association studies o c2014 Oct 28 a50680 v53 aStatins effectively lower LDL cholesterol levels in large studies and the observed interindividual response variability may be partially explained by genetic variation. Here we perform a pharmacogenetic meta-analysis of genome-wide association studies (GWAS) in studies addressing the LDL cholesterol response to statins, including up to 18,596 statin-treated subjects. We validate the most promising signals in a further 22,318 statin recipients and identify two loci, SORT1/CELSR2/PSRC1 and SLCO1B1, not previously identified in GWAS. Moreover, we confirm the previously described associations with APOE and LPA. Our findings advance the understanding of the pharmacogenetic architecture of statin response.
10aCholesterol, LDL10aGenome-Wide Association Study10aHumans10aHydroxymethylglutaryl-CoA Reductase Inhibitors10aPharmacogenetics10aPolymorphism, Single Nucleotide1 aPostmus, Iris1 aTrompet, Stella1 aDeshmukh, Harshal, A1 aBarnes, Michael, R1 aLi, Xiaohui1 aWarren, Helen, R1 aChasman, Daniel, I1 aZhou, Kaixin1 aArsenault, Benoit, J1 aDonnelly, Louise, A1 aWiggins, Kerri, L1 aAvery, Christy, L1 aGriffin, Paula1 aFeng, QiPing1 aTaylor, Kent, D1 aLi, Guo1 aEvans, Daniel, S1 aSmith, Albert, V1 ade Keyser, Catherine, E1 aJohnson, Andrew, D1 ade Craen, Anton, J M1 aStott, David, J1 aBuckley, Brendan, M1 aFord, Ian1 aWestendorp, Rudi, G J1 aSlagboom, Eline1 aSattar, Naveed1 aMunroe, Patricia, B1 aSever, Peter1 aPoulter, Neil1 aStanton, Alice1 aShields, Denis, C1 aO'Brien, Eoin1 aShaw-Hawkins, Sue1 aChen, Y-D, Ida1 aNickerson, Deborah, A1 aSmith, Joshua, D1 aDubé, Marie, Pierre1 aBoekholdt, Matthijs1 aHovingh, Kees1 aKastelein, John, J P1 aMcKeigue, Paul, M1 aBetteridge, John1 aNeil, Andrew1 aDurrington, Paul, N1 aDoney, Alex1 aCarr, Fiona1 aMorris, Andrew1 aMcCarthy, Mark, I1 aGroop, Leif1 aAhlqvist, Emma1 aBis, Joshua, C1 aRice, Kenneth1 aSmith, Nicholas, L1 aLumley, Thomas1 aWhitsel, Eric, A1 aStürmer, Til1 aBoerwinkle, Eric1 aNgwa, Julius, S1 aO'Donnell, Christopher, J1 aVasan, Ramachandran, S1 aWei, Wei-Qi1 aWilke, Russell, A1 aLiu, Ching-Ti1 aSun, Fangui1 aGuo, Xiuqing1 aHeckbert, Susan, R1 aPost, Wendy1 aSotoodehnia, Nona1 aArnold, Alice, M1 aStafford, Jeanette, M1 aDing, Jingzhong1 aHerrington, David, M1 aKritchevsky, Stephen, B1 aEiriksdottir, Gudny1 aLauner, Leonore, J1 aHarris, Tamara, B1 aChu, Audrey, Y1 aGiulianini, Franco1 aMacFadyen, Jean, G1 aBarratt, Bryan, J1 aNyberg, Fredrik1 aStricker, Bruno, H1 aUitterlinden, André, G1 aHofman, Albert1 aRivadeneira, Fernando1 aEmilsson, Valur1 aFranco, Oscar, H1 aRidker, Paul, M1 aGudnason, Vilmundur1 aLiu, Yongmei1 aDenny, Joshua, C1 aBallantyne, Christie, M1 aRotter, Jerome, I1 aCupples, Adrienne1 aPsaty, Bruce, M1 aPalmer, Colin, N A1 aTardif, Jean-Claude1 aColhoun, Helen, M1 aHitman, Graham1 aKrauss, Ronald, M1 aJukema, Wouter1 aCaulfield, Mark, J1 aWelcome Trust Case Control Consortium uhttps://chs-nhlbi.org/node/659105255nas a2200949 4500008004100000022001400041245015700055210006900212260000900281300001300290490000700303520251800310653002202828653000902850653002802859653002802887653004002915653001102955653003402966653001103000653001703011653001403028653000903042653001603051653003603067653002203103100001903125700002103144700001603165700002203181700002603203700001603229700002103245700002303266700001603289700002003305700002203325700002203347700002103369700002303390700002303413700002003436700002203456700002303478700002103501700002203522700002003544700002103564700002203585700001803607700002003625700002503645700002203670700002303692700001703715700002103732700002303753700002403776700002003800700002103820700002203841700002503863700002803888700002203916700001403938700001903952700001903971700002003990700002604010700002404036700002704060700001904087700002404106700002204130700001604152700001904168700002304187700002104210700002004231700001804251856003604269 2015 eng d a1932-620300aDrug-Gene Interactions of Antihypertensive Medications and Risk of Incident Cardiovascular Disease: A Pharmacogenomics Study from the CHARGE Consortium.0 aDrugGene Interactions of Antihypertensive Medications and Risk o c2015 ae01404960 v103 aBACKGROUND: Hypertension is a major risk factor for a spectrum of cardiovascular diseases (CVD), including myocardial infarction, sudden death, and stroke. In the US, over 65 million people have high blood pressure and a large proportion of these individuals are prescribed antihypertensive medications. Although large long-term clinical trials conducted in the last several decades have identified a number of effective antihypertensive treatments that reduce the risk of future clinical complications, responses to therapy and protection from cardiovascular events vary among individuals.
METHODS: Using a genome-wide association study among 21,267 participants with pharmaceutically treated hypertension, we explored the hypothesis that genetic variants might influence or modify the effectiveness of common antihypertensive therapies on the risk of major cardiovascular outcomes. The classes of drug treatments included angiotensin-converting enzyme inhibitors, beta-blockers, calcium channel blockers, and diuretics. In the setting of the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) consortium, each study performed array-based genome-wide genotyping, imputed to HapMap Phase II reference panels, and used additive genetic models in proportional hazards or logistic regression models to evaluate drug-gene interactions for each of four therapeutic drug classes. We used meta-analysis to combine study-specific interaction estimates for approximately 2 million single nucleotide polymorphisms (SNPs) in a discovery analysis among 15,375 European Ancestry participants (3,527 CVD cases) with targeted follow-up in a case-only study of 1,751 European Ancestry GenHAT participants as well as among 4,141 African-Americans (1,267 CVD cases).
RESULTS: Although drug-SNP interactions were biologically plausible, exposures and outcomes were well measured, and power was sufficient to detect modest interactions, we did not identify any statistically significant interactions from the four antihypertensive therapy meta-analyses (Pinteraction > 5.0×10-8). Similarly, findings were null for meta-analyses restricted to 66 SNPs with significant main effects on coronary artery disease or blood pressure from large published genome-wide association studies (Pinteraction ≥ 0.01). Our results suggest that there are no major pharmacogenetic influences of common SNPs on the relationship between blood pressure medications and the risk of incident CVD.
10aAfrican Americans10aAged10aAntihypertensive Agents10aCardiovascular Diseases10aEuropean Continental Ancestry Group10aFemale10aGenome-Wide Association Study10aHumans10aHypertension10aIncidence10aMale10aMiddle Aged10aPolymorphism, Single Nucleotide10aTreatment Outcome1 aBis, Joshua, C1 aSitlani, Colleen1 aIrvin, Ryan1 aAvery, Christy, L1 aSmith, Albert, Vernon1 aSun, Fangui1 aEvans, Daniel, S1 aMusani, Solomon, K1 aLi, Xiaohui1 aTrompet, Stella1 aKrijthe, Bouwe, P1 aHarris, Tamara, B1 aQuibrera, Miguel1 aBrody, Jennifer, A1 aDemissie, Serkalem1 aDavis, Barry, R1 aWiggins, Kerri, L1 aTranah, Gregory, J1 aLange, Leslie, A1 aSotoodehnia, Nona1 aStott, David, J1 aFranco, Oscar, H1 aLauner, Lenore, J1 aStürmer, Til1 aTaylor, Kent, D1 aCupples, Adrienne, L1 aEckfeldt, John, H1 aSmith, Nicholas, L1 aLiu, Yongmei1 aWilson, James, G1 aHeckbert, Susan, R1 aBuckley, Brendan, M1 aIkram, Arfan, M1 aBoerwinkle, Eric1 aChen, Yii-Der Ida1 ade Craen, Anton, J M1 aUitterlinden, André, G1 aRotter, Jerome, I1 aFord, Ian1 aHofman, Albert1 aSattar, Naveed1 aSlagboom, Eline1 aWestendorp, Rudi, G J1 aGudnason, Vilmundur1 aVasan, Ramachandran, S1 aLumley, Thomas1 aCummings, Steven, R1 aTaylor, Herman, A1 aPost, Wendy1 aJukema, Wouter1 aStricker, Bruno, H1 aWhitsel, Eric, A1 aPsaty, Bruce, M1 aArnett, Donna uhttps://chs-nhlbi.org/node/687504724nas a2201189 4500008004100000022001400041245009300055210006900148260001300217300001200230490000700242520135800249100001801607700002101625700002001646700002501666700002201691700001901713700002301732700002801755700002501783700002101808700001701829700001601846700002201862700002101884700001601905700002001921700002101941700002301962700002201985700002102007700002402028700002102052700002402073700001902097700002502116700002402141700002102165700002502186700002402211700002402235700001402259700001702273700002202290700002302312700001902335700001802354700002502372700002302397700001802420700001702438700001902455700002202474700002402496700001702520700002602537700002002563700001802583700003002601700001602631700001802647700002702665700001802692700002102710700002602731700001902757700001702776700002202793700002202815700002002837700002302857700002102880700002202901700001902923700002002942700002302962700001802985700002803003700001603031700002603047700002103073700002203094700002203116700002803138700002203166700002503188700002103213700002403234700001903258700002303277700002003300700002003320700002603340700002203366700002403388700002303412700001903435700002203454700002203476856003603498 2016 eng d a1468-624400aMeta-analysis of genome-wide association studies of HDL cholesterol response to statins.0 aMetaanalysis of genomewide association studies of HDL cholestero c2016 Dec a835-8450 v533 aBACKGROUND: In addition to lowering low density lipoprotein cholesterol (LDL-C), statin therapy also raises high density lipoprotein cholesterol (HDL-C) levels. Inter-individual variation in HDL-C response to statins may be partially explained by genetic variation.
METHODS AND RESULTS: We performed a meta-analysis of genome-wide association studies (GWAS) to identify variants with an effect on statin-induced high density lipoprotein cholesterol (HDL-C) changes. The 123 most promising signals with p<1×10(-4) from the 16 769 statin-treated participants in the first analysis stage were followed up in an independent group of 10 951 statin-treated individuals, providing a total sample size of 27 720 individuals. The only associations of genome-wide significance (p<5×10(-8)) were between minor alleles at the CETP locus and greater HDL-C response to statin treatment.
CONCLUSIONS: Based on results from this study that included a relatively large sample size, we suggest that CETP may be the only detectable locus with common genetic variants that influence HDL-C response to statins substantially in individuals of European descent. Although CETP is known to be associated with HDL-C, we provide evidence that this pharmacogenetic effect is independent of its association with baseline HDL-C levels.
1 aPostmus, Iris1 aWarren, Helen, R1 aTrompet, Stella1 aArsenault, Benoit, J1 aAvery, Christy, L1 aBis, Joshua, C1 aChasman, Daniel, I1 ade Keyser, Catherine, E1 aDeshmukh, Harshal, A1 aEvans, Daniel, S1 aFeng, QiPing1 aLi, Xiaohui1 aSmit, Roelof, A J1 aSmith, Albert, V1 aSun, Fangui1 aTaylor, Kent, D1 aArnold, Alice, M1 aBarnes, Michael, R1 aBarratt, Bryan, J1 aBetteridge, John1 aBoekholdt, Matthijs1 aBoerwinkle, Eric1 aBuckley, Brendan, M1 aChen, Y-D, Ida1 ade Craen, Anton, J M1 aCummings, Steven, R1 aDenny, Joshua, C1 aDubé, Marie, Pierre1 aDurrington, Paul, N1 aEiriksdottir, Gudny1 aFord, Ian1 aGuo, Xiuqing1 aHarris, Tamara, B1 aHeckbert, Susan, R1 aHofman, Albert1 aHovingh, Kees1 aKastelein, John, J P1 aLauner, Leonore, J1 aLiu, Ching-Ti1 aLiu, Yongmei1 aLumley, Thomas1 aMcKeigue, Paul, M1 aMunroe, Patricia, B1 aNeil, Andrew1 aNickerson, Deborah, A1 aNyberg, Fredrik1 aO'Brien, Eoin1 aO'Donnell, Christopher, J1 aPost, Wendy1 aPoulter, Neil1 aVasan, Ramachandran, S1 aRice, Kenneth1 aRich, Stephen, S1 aRivadeneira, Fernando1 aSattar, Naveed1 aSever, Peter1 aShaw-Hawkins, Sue1 aShields, Denis, C1 aSlagboom, Eline1 aSmith, Nicholas, L1 aSmith, Joshua, D1 aSotoodehnia, Nona1 aStanton, Alice1 aStott, David, J1 aStricker, Bruno, H1 aStürmer, Til1 aUitterlinden, André, G1 aWei, Wei-Qi1 aWestendorp, Rudi, G J1 aWhitsel, Eric, A1 aWiggins, Kerri, L1 aWilke, Russell, A1 aBallantyne, Christie, M1 aColhoun, Helen, M1 aCupples, Adrienne, L1 aFranco, Oscar, H1 aGudnason, Vilmundur1 aHitman, Graham1 aPalmer, Colin, N A1 aPsaty, Bruce, M1 aRidker, Paul, M1 aStafford, Jeanette, M1 aStein, Charles, M1 aTardif, Jean-Claude1 aCaulfield, Mark, J1 aJukema, Wouter1 aRotter, Jerome, I1 aKrauss, Ronald, M uhttps://chs-nhlbi.org/node/735803468nas a2200541 4500008004100000022001400041245007100055210006900126260001300195300001000208490000600218520192500224100002302149700001702172700002602189700001602215700002602231700002002257700002302277700002502300700002202325700001802347700001902365700002002384700002202404700002202426700002002448700002402468700002202492700001402514700002002528700002402548700002502572700001602597700001902613700002802632700001602660700001902676700001902695700002402714700002202738700002102760700002302781700002002804700001802824710004802842856003602890 2016 eng d a1942-326800aNovel Genetic Loci Associated With Retinal Microvascular Diameter.0 aNovel Genetic Loci Associated With Retinal Microvascular Diamete c2016 Feb a45-540 v93 aBACKGROUND: There is increasing evidence that retinal microvascular diameters are associated with cardiovascular and cerebrovascular conditions. The shared genetic effects of these associations are currently unknown. The aim of this study was to increase our understanding of the genetic factors that mediate retinal vessel size.
METHODS AND RESULTS: This study extends previous genome-wide association study results using 24 000+ multiethnic participants from 7 discovery cohorts and 5000+ subjects of European ancestry from 2 replication cohorts. Using the Illumina HumanExome BeadChip, we investigate the association of single-nucleotide polymorphisms and variants collectively across genes with summary measures of retinal vessel diameters, referred to as the central retinal venule equivalent and the central retinal arteriole equivalent. We report 4 new loci associated with central retinal venule equivalent, one of which is also associated with central retinal arteriole equivalent. The 4 single-nucleotide polymorphisms are rs7926971 in TEAD1 (P=3.1×10(-) (11); minor allele frequency=0.43), rs201259422 in TSPAN10 (P=4.4×10(-9); minor allele frequency=0.27), rs5442 in GNB3 (P=7.0×10(-10); minor allele frequency=0.05), and rs1800407 in OCA2 (P=3.4×10(-8); minor allele frequency=0.05). The latter single-nucleotide polymorphism, rs1800407, was also associated with central retinal arteriole equivalent (P=6.5×10(-12)). Results from the gene-based burden tests were null. In phenotype look-ups, single-nucleotide polymorphism rs201255422 was associated with both systolic (P=0.001) and diastolic blood pressures (P=8.3×10(-04)).
CONCLUSIONS: Our study expands the understanding of genetic factors influencing the size of the retinal microvasculature. These findings may also provide insight into the relationship between retinal and systemic microvascular disease.
1 aJensen, Richard, A1 aSim, Xueling1 aSmith, Albert, Vernon1 aLi, Xiaohui1 aJakobsdottir, Johanna1 aCheng, Ching-Yu1 aBrody, Jennifer, A1 aCotch, Mary, Frances1 aMcKnight, Barbara1 aKlein, Ronald1 aWang, Jie, Jin1 aKifley, Annette1 aHarris, Tamara, B1 aLauner, Lenore, J1 aTaylor, Kent, D1 aKlein, Barbara, E K1 aRaffel, Leslie, J1 aLi, Xiang1 aIkram, Arfan, M1 aKlaver, Caroline, C1 avan der Lee, Sven, J1 aMutlu, Unal1 aHofman, Albert1 aUitterlinden, André, G1 aLiu, Chunyu1 aKraja, Aldi, T1 aMitchell, Paul1 aGudnason, Vilmundur1 aRotter, Jerome, I1 aBoerwinkle, Eric1 aDuijn, Cornelia, M1 aPsaty, Bruce, M1 aWong, Tien, Y1 aCHARGE Exome Chip Blood Pressure Consortium uhttps://chs-nhlbi.org/node/690002216nas a2200397 4500008004100000022001400041245018200055210006900237260001200306300001400318490000700332520093100339653002101270653003801291653001101329653005101340653002101391653003601412653001801448100002101466700001801487700002001505700002301525700001801548700002501566700002301591700002501614700002201639700002201661700001601683700002001699700002201719700002201741700001901763856003601782 2016 eng d a1744-804200aRooted in risk: genetic predisposition for low-density lipoprotein cholesterol level associates with diminished low-density lipoprotein cholesterol response to statin treatment.0 aRooted in risk genetic predisposition for lowdensity lipoprotein c2016 10 a1621-16280 v173 aAIMS: To utilize previously reported lead SNPs for low-density lipoprotein cholesterol (LDL-c) levels to find additional loci of importance to statin response, and examine whether genetic predisposition to LDL-c levels associates with differential statin response.
METHODS: We investigated effects on statin response of 59 LDL-c SNPs, by combining summary level statistics from the Global Lipids Genetics and Genomic Investigation of Statin Therapy consortia.
RESULTS: Lead SNPs for APOE, SORT1 and NPC1L1 were associated with a decreased LDL-c response to statin treatment, as was overall genetic predisposition for increased LDL-c levels as quantified with 59 SNPs, with a 5.4% smaller statin response per standard deviation increase in genetically raised LDL-c levels.
CONCLUSION: Genetic predisposition for increased LDL-c level may decrease efficacy of statin therapy.
10aCholesterol, LDL10aGenetic Predisposition to Disease10aHumans10aHydroxymethylglutaryl-CoA Reductase Inhibitors10aPharmacogenetics10aPolymorphism, Single Nucleotide10aTriglycerides1 aSmit, Roelof, Aj1 aPostmus, Iris1 aTrompet, Stella1 aBarnes, Michael, R1 aWarren, Helen1 aArsenault, Benoit, J1 aChasman, Daniel, I1 aCupples, Adrienne, L1 aHitman, Graham, A1 aKrauss, Ronald, M1 aLi, Xiaohui1 aPsaty, Bruce, M1 aStein, Charles, M1 aRotter, Jerome, I1 aJukema, Wouter uhttps://chs-nhlbi.org/node/857105835nas a2201585 4500008004100000022001400041245012700055210006900182260001500251300001000266490000700276520141400283100001801697700002401715700001901739700002801758700001901786700001901805700002501824700001801849700001301867700002001880700002001900700002101920700001701941700002401958700002501982700001202007700002202019700002002041700002002061700002202081700002602103700001902129700001802148700001802166700002502184700002102209700002102230700002202251700002102273700001702294700001702311700001702328700001502345700002102360700002402381700003102405700002402436700002402460700002002484700001902504700001402523700002102537700002402558700001902582700002402601700002202625700001802647700001902665700002102684700002202705700001802727700002002745700002002765700002302785700001602808700002202824700002002846700001602866700002202882700002302904700002302927700001702950700002202967700002302989700001703012700002003029700002203049700002303071700001603094700002003110700001503130700002103145700002203166700001903188700002503207700002403232700002103256700002103277700002203298700001603320700002303336700002403359700002203383700001803405700001303423700001803436700002203454700002103476700002303497700002603520700002303546700002103569700002003590700002003610700002403630700001903654700002103673700002303694700002203717700002603739700002103765700002203786700002203808700002503830700002003855700002403875700002003899700002103919700002003940700001903960700002103979700002004000700002204020700002204042700002004064710002004084710002004104710002504124710002204149710002104171710002104192856003604213 2016 eng d a1537-660500aTrans-ethnic Meta-analysis and Functional Annotation Illuminates the Genetic Architecture of Fasting Glucose and Insulin.0 aTransethnic Metaanalysis and Functional Annotation Illuminates t c2016 Jul 7 a56-750 v993 aKnowledge of the genetic basis of the type 2 diabetes (T2D)-related quantitative traits fasting glucose (FG) and insulin (FI) in African ancestry (AA) individuals has been limited. In non-diabetic subjects of AA (n = 20,209) and European ancestry (EA; n = 57,292), we performed trans-ethnic (AA+EA) fine-mapping of 54 established EA FG or FI loci with detailed functional annotation, assessed their relevance in AA individuals, and sought previously undescribed loci through trans-ethnic (AA+EA) meta-analysis. We narrowed credible sets of variants driving association signals for 22/54 EA-associated loci; 18/22 credible sets overlapped with active islet-specific enhancers or transcription factor (TF) binding sites, and 21/22 contained at least one TF motif. Of the 54 EA-associated loci, 23 were shared between EA and AA. Replication with an additional 10,096 AA individuals identified two previously undescribed FI loci, chrX FAM133A (rs213676) and chr5 PELO (rs6450057). Trans-ethnic analyses with regulatory annotation illuminate the genetic architecture of glycemic traits and suggest gene regulation as a target to advance precision medicine for T2D. Our approach to utilize state-of-the-art functional annotation and implement trans-ethnic association analysis for discovery and fine-mapping offers a framework for further follow-up and characterization of GWAS signals of complex trait loci.
1 aLiu, Ching-Ti1 aRaghavan, Sridharan1 aMaruthur, Nisa1 aKabagambe, Edmond, Kato1 aHong, Jaeyoung1 aC Y Ng, Maggie1 aHivert, Marie-France1 aLu, Yingchang1 aAn, Ping1 aBentley, Amy, R1 aDrolet, Anne, M1 aGaulton, Kyle, J1 aGuo, Xiuqing1 aArmstrong, Loren, L1 aIrvin, Marguerite, R1 aLi, Man1 aLipovich, Leonard1 aRybin, Denis, V1 aTaylor, Kent, D1 aAgyemang, Charles1 aPalmer, Nicholette, D1 aCade, Brian, E1 aChen, Wei-Min1 aDauriz, Marco1 aDelaney, Joseph, A C1 aEdwards, Todd, L1 aEvans, Daniel, S1 aEvans, Michele, K1 aLange, Leslie, A1 aLeong, Aaron1 aLiu, Jingmin1 aLiu, Yongmei1 aNayak, Uma1 aPatel, Sanjay, R1 aPorneala, Bianca, C1 aRasmussen-Torvik, Laura, J1 aSnijder, Marieke, B1 aStallings, Sarah, C1 aTanaka, Toshiko1 aYanek, Lisa, R1 aZhao, Wei1 aBecker, Diane, M1 aBielak, Lawrence, F1 aBiggs, Mary, L1 aBottinger, Erwin, P1 aBowden, Donald, W1 aChen, Guanjie1 aCorrea, Adolfo1 aCouper, David, J1 aCrawford, Dana, C1 aCushman, Mary1 aEicher, John, D1 aFornage, Myriam1 aFranceschini, Nora1 aFu, Yi-Ping1 aGoodarzi, Mark, O1 aGottesman, Omri1 aHara, Kazuo1 aHarris, Tamara, B1 aJensen, Richard, A1 aJohnson, Andrew, D1 aJhun, Min, A1 aKarter, Andrew, J1 aKeller, Margaux, F1 aKho, Abel, N1 aKizer, Jorge, R1 aKrauss, Ronald, M1 aLangefeld, Carl, D1 aLi, Xiaohui1 aLiang, Jingling1 aLiu, Simin1 aLowe, William, L1 aMosley, Thomas, H1 aNorth, Kari, E1 aPacheco, Jennifer, A1 aPeyser, Patricia, A1 aPatrick, Alan, L1 aRice, Kenneth, M1 aSelvin, Elizabeth1 aSims, Mario1 aSmith, Jennifer, A1 aTajuddin, Salman, M1 aVaidya, Dhananjay1 aWren, Mary, P1 aYao, Jie1 aZhu, Xiaofeng1 aZiegler, Julie, T1 aZmuda, Joseph, M1 aZonderman, Alan, B1 aZwinderman, Aeilko, H1 aAdeyemo, Adebowale1 aBoerwinkle, Eric1 aFerrucci, Luigi1 aHayes, Geoffrey1 aKardia, Sharon, L R1 aMiljkovic, Iva1 aPankow, James, S1 aRotimi, Charles, N1 aSale, Michèle, M1 aWagenknecht, Lynne, E1 aArnett, Donna, K1 aChen, Yii-Der Ida1 aNalls, Michael, A1 aProvince, Michael, A1 aKao, Linda, W H1 aSiscovick, David, S1 aPsaty, Bruce, M1 aWilson, James, G1 aLoos, Ruth, J F1 aDupuis, Josée1 aRich, Stephen, S1 aFlorez, Jose, C1 aRotter, Jerome, I1 aMorris, Andrew, P1 aMeigs, James, B1 aAAAG Consortium1 aCARe Consortium1 aCOGENT-BP Consortium1 aeMERGE Consortium1 aMEDIA Consortium1 aMAGIC Consortium uhttps://chs-nhlbi.org/node/714103502nas a2200793 4500008004100000022001400041245011400055210006900169260001200238300001400250490000700264520132200271653000901593653002501602653001101627653003401638653001101672653001101683653000901694653003701703653001601740653003601756653000901792100001801801700002001819700001401839700001601853700002201869700002201891700002001913700001501933700001901948700002001967700001801987700001702005700001702022700001402039700001302053700002102066700002102087700001702108700001702125700001902142700001702161700002102178700002402199700001502223700002402238700001402262700001602276700002602292700002002318700001802338700002302356700001802379700002502397700001902422700001702441700001902458700002202477700002202499700001802521700002002539700002302559700002002582700002002602710005002622856003602672 2017 eng d a1939-327X00aGenetically Determined Plasma Lipid Levels and Risk of Diabetic Retinopathy: A Mendelian Randomization Study.0 aGenetically Determined Plasma Lipid Levels and Risk of Diabetic c2017 12 a3130-31410 v663 aResults from observational studies examining dyslipidemia as a risk factor for diabetic retinopathy (DR) have been inconsistent. We evaluated the causal relationship between plasma lipids and DR using a Mendelian randomization approach. We pooled genome-wide association studies summary statistics from 18 studies for two DR phenotypes: any DR (N = 2,969 case and 4,096 control subjects) and severe DR (N = 1,277 case and 3,980 control subjects). Previously identified lipid-associated single nucleotide polymorphisms served as instrumental variables. Meta-analysis to combine the Mendelian randomization estimates from different cohorts was conducted. There was no statistically significant change in odds ratios of having any DR or severe DR for any of the lipid fractions in the primary analysis that used single nucleotide polymorphisms that did not have a pleiotropic effect on another lipid fraction. Similarly, there was no significant association in the Caucasian and Chinese subgroup analyses. This study did not show evidence of a causal role of the four lipid fractions on DR. However, the study had limited power to detect odds ratios less than 1.23 per SD in genetically induced increase in plasma lipid levels, thus we cannot exclude that causal relationships with more modest effect sizes exist.
10aAged10aDiabetic Retinopathy10aFemale10aGenome-Wide Association Study10aHumans10aLipids10aMale10aMendelian Randomization Analysis10aMiddle Aged10aPolymorphism, Single Nucleotide10aRisk1 aSobrin, Lucia1 aChong, Yong, He1 aFan, Qiao1 aGan, Alfred1 aStanwyck, Lynn, K1 aKaidonis, Georgia1 aCraig, Jamie, E1 aKim, Jihye1 aLiao, Wen-Ling1 aHuang, Yu-Chuen1 aLee, Wen-Jane1 aHung, Yi-Jen1 aGuo, Xiuqing1 aHai, Yang1 aIpp, Eli1 aPollack, Samuela1 aHancock, Heather1 aPrice, Alkes1 aPenman, Alan1 aMitchell, Paul1 aLiew, Gerald1 aSmith, Albert, V1 aGudnason, Vilmundur1 aTan, Gavin1 aKlein, Barbara, E K1 aKuo, Jane1 aLi, Xiaohui1 aChristiansen, Mark, W1 aPsaty, Bruce, M1 aSandow, Kevin1 aJensen, Richard, A1 aKlein, Ronald1 aCotch, Mary, Frances1 aWang, Jie, Jin1 aJia, Yucheng1 aChen, Ching, J1 aChen, Yii-Der Ida1 aRotter, Jerome, I1 aTsai, Fuu-Jen1 aHanis, Craig, L1 aBurdon, Kathryn, P1 aWong, Tien, Yin1 aCheng, Ching-Yu1 aAsian Genetic Epidemiology Network Consortium uhttps://chs-nhlbi.org/node/759004580nas a2200937 4500008004100000022001400041245022100055210006900276260001300345300001200358490000700370520179400377100002102171700002402192700002202216700002202238700002702260700002202287700002002309700002102329700001602350700002102366700001602387700001202403700002102415700001902436700002302455700001902478700002302497700002102520700002402541700002502565700001502590700002102605700002902626700002202655700002302677700002202700700001902722700002002741700001702761700002202778700001202800700002002812700002102832700001802853700002302871700002302894700002902917700001802946700002502964700002102989700001903010700002503029700002403054700001903078700001703097700002303114700002003137700002403157700002203181700002003203700001803223700002003241700002503261700002803286700002403314700002103338700002403359700001903383700002103402700001703423700002903440700002403469700002203493700002703515700002003542700002303562700002103585856003603606 2017 eng d a1468-624400aA genome-wide interaction analysis of tricyclic/tetracyclic antidepressants and RR and QT intervals: a pharmacogenomics study from the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) consortium.0 agenomewide interaction analysis of tricyclictetracyclic antidepr c2017 May a313-3230 v543 aBACKGROUND: Increased heart rate and a prolonged QT interval are important risk factors for cardiovascular morbidity and mortality, and can be influenced by the use of various medications, including tricyclic/tetracyclic antidepressants (TCAs). We aim to identify genetic loci that modify the association between TCA use and RR and QT intervals.
METHODS AND RESULTS: We conducted race/ethnic-specific genome-wide interaction analyses (with HapMap phase II imputed reference panel imputation) of TCAs and resting RR and QT intervals in cohorts of European (n=45 706; n=1417 TCA users), African (n=10 235; n=296 TCA users) and Hispanic/Latino (n=13 808; n=147 TCA users) ancestry, adjusted for clinical covariates. Among the populations of European ancestry, two genome-wide significant loci were identified for RR interval: rs6737205 in BRE (β=56.3, pinteraction=3.9e(-9)) and rs9830388 in UBE2E2 (β=25.2, pinteraction=1.7e(-8)). In Hispanic/Latino cohorts, rs2291477 in TGFBR3 significantly modified the association between TCAs and QT intervals (β=9.3, pinteraction=2.55e(-8)). In the meta-analyses of the other ethnicities, these loci either were excluded from the meta-analyses (as part of quality control), or their effects did not reach the level of nominal statistical significance (pinteraction>0.05). No new variants were identified in these ethnicities. No additional loci were identified after inverse-variance-weighted meta-analysis of the three ancestries.
CONCLUSIONS: Among Europeans, TCA interactions with variants in BRE and UBE2E2 were identified in relation to RR intervals. Among Hispanic/Latinos, variants in TGFBR3 modified the relation between TCAs and QT intervals. Future studies are required to confirm our results.
1 aNoordam, Raymond1 aSitlani, Colleen, M1 aAvery, Christy, L1 aStewart, James, D1 aGogarten, Stephanie, M1 aWiggins, Kerri, L1 aTrompet, Stella1 aWarren, Helen, R1 aSun, Fangui1 aEvans, Daniel, S1 aLi, Xiaohui1 aLi, Jin1 aSmith, Albert, V1 aBis, Joshua, C1 aBrody, Jennifer, A1 aBusch, Evan, L1 aCaulfield, Mark, J1 aChen, Yii-der, I1 aCummings, Steven, R1 aCupples, Adrienne, L1 aDuan, Qing1 aFranco, Oscar, H1 aMéndez-Giráldez, Rául1 aHarris, Tamara, B1 aHeckbert, Susan, R1 avan Heemst, Diana1 aHofman, Albert1 aFloyd, James, S1 aKors, Jan, A1 aLauner, Lenore, J1 aLi, Yun1 aLi-Gao, Ruifang1 aLange, Leslie, A1 aLin, Henry, J1 ade Mutsert, Renée1 aNapier, Melanie, D1 aNewton-Cheh, Christopher1 aPoulter, Neil1 aReiner, Alexander, P1 aRice, Kenneth, M1 aRoach, Jeffrey1 aRodriguez, Carlos, J1 aRosendaal, Frits, R1 aSattar, Naveed1 aSever, Peter1 aSeyerle, Amanda, A1 aSlagboom, Eline1 aSoliman, Elsayed, Z1 aSotoodehnia, Nona1 aStott, David, J1 aStürmer, Til1 aTaylor, Kent, D1 aThornton, Timothy, A1 aUitterlinden, André, G1 aWilhelmsen, Kirk, C1 aWilson, James, G1 aGudnason, Vilmundur1 aJukema, Wouter1 aLaurie, Cathy, C1 aLiu, Yongmei1 aMook-Kanamori, Dennis, O1 aMunroe, Patricia, B1 aRotter, Jerome, I1 aVasan, Ramachandran, S1 aPsaty, Bruce, M1 aStricker, Bruno, H1 aWhitsel, Eric, A uhttps://chs-nhlbi.org/node/735303304nas a2200553 4500008004100000022001400041245016300055210006900218260001300287300001200300490000700312520166500319100001801984700002402002700002202026700002102048700001902069700002402088700002502112700001802137700002102155700002402176700002202200700001902222700002502241700002102266700001902287700001802306700002202324700001602346700001702362700001902379700001802398700002002416700002202436700002302458700002402481700002102505700002202526700002002548700001602568700002702584700002102611700002102632700002202653700002102675700001802696856003602714 2017 eng d a1942-326800aPCSK9 Loss-of-Function Variants, Low-Density Lipoprotein Cholesterol, and Risk of Coronary Heart Disease and Stroke: Data From 9 Studies of Blacks and Whites.0 aPCSK9 LossofFunction Variants LowDensity Lipoprotein Cholesterol c2017 Aug ae0016320 v103 aBACKGROUND: PCSK9 loss-of-function (LOF) variants allow for the examination of the effects of lifetime reduced low-density lipoprotein cholesterol (LDL-C) on cardiovascular events. We examined the association of PCSK9 LOF variants with LDL-C and incident coronary heart disease and stroke through a meta-analysis of data from 8 observational cohorts and 1 randomized trial of statin therapy.
METHODS AND RESULTS: These 9 studies together included 17 459 blacks with 403 (2.3%) having at least 1 Y142X or C679X variant and 31 306 whites with 955 (3.1%) having at least 1 R46L variant. Unadjusted odds ratios for associations between PCSK9 LOF variants and incident coronary heart disease (851 events in blacks and 2662 events in whites) and stroke (523 events in blacks and 1660 events in whites) were calculated using pooled Mantel-Haenszel estimates with continuity correction factors. Pooling results across studies using fixed-effects inverse-variance-weighted models, PCSK9 LOF variants were associated with 35 mg/dL (95% confidence interval [CI], 32-39) lower LDL-C in blacks and 13 mg/dL (95% CI, 11-16) lower LDL-C in whites. PCSK9 LOF variants were associated with a pooled odds ratio for coronary heart disease of 0.51 (95% CI, 0.28-0.92) in blacks and 0.82 (95% CI, 0.63-1.06) in whites. PCSK9 LOF variants were not associated with incident stroke (odds ratio, 0.84; 95% CI, 0.48-1.47 in blacks and odds ratio, 1.06; 95% CI, 0.80-1.41 in whites).
CONCLUSIONS: PCSK9 LOF variants were associated with lower LDL-C and coronary heart disease incidence. PCSK9 LOF variants were not associated with stroke risk.
1 aKent, Shia, T1 aRosenson, Robert, S1 aAvery, Christy, L1 aChen, Yii-der, I1 aCorrea, Adolfo1 aCummings, Steven, R1 aCupples, Adrienne, L1 aCushman, Mary1 aEvans, Daniel, S1 aGudnason, Vilmundur1 aHarris, Tamara, B1 aHoward, George1 aIrvin, Marguerite, R1 aJudd, Suzanne, E1 aJukema, Wouter1 aLange, Leslie1 aLevitan, Emily, B1 aLi, Xiaohui1 aLiu, Yongmei1 aPost, Wendy, S1 aPostmus, Iris1 aPsaty, Bruce, M1 aRotter, Jerome, I1 aSafford, Monika, M1 aSitlani, Colleen, M1 aSmith, Albert, V1 aStewart, James, D1 aTrompet, Stella1 aSun, Fangui1 aVasan, Ramachandran, S1 aWoolley, Michael1 aWhitsel, Eric, A1 aWiggins, Kerri, L1 aWilson, James, G1 aMuntner, Paul uhttps://chs-nhlbi.org/node/744811426nas a2203589 4500008004100000022001400041245015500055210006900210260001600279300001200295490000800307520141100315100002001726700001601746700001601762700002701778700002201805700001901827700002701846700002001873700001801893700001901911700001301930700002101943700001901964700001901983700001502002700001202017700001902029700001802048700002002066700002102086700002502107700001802132700001602150700002002166700001802186700002102204700001502225700001802240700002102258700002002279700002202299700002102321700002302342700001802365700002702383700002802410700002702438700001802465700001902483700001902502700002102521700001902542700001602561700002602577700002002603700002202623700001802645700001602663700001902679700002202698700001802720700001302738700002102751700002602772700002402798700002002822700002502842700002102867700001902888700002202907700001802929700002102947700002002968700002302988700001303011700001903024700001603043700001803059700002403077700001703101700002003118700002303138700002703161700002803188700001503216700002503231700001403256700002203270700002203292700001903314700001703333700001703350700001503367700001603382700001803398700002003416700001903436700002503455700002003480700001703500700002003517700001903537700001803556700002303574700002303597700001903620700002303639700002703662700002803689700002403717700002503741700002603766700001703792700002203809700002303831700002003854700002003874700002303894700002303917700002203940700001803962700002503980700001704005700002004022700002204042700002204064700002204086700002004108700001904128700002104147700002504168700002704193700001904220700002404239700002304263700002004286700002004306700002204326700002104348700001904369700002204388700002004410700002604430700001904456700002404475700002704499700002004526700002404546700002604570700001904596700002004615700002004635700002004655700001704675700002204692700002404714700001704738700002204755700002204777700002204799700002004821700002404841700002204865700003004887700002404917700002604941700002504967700002104992700001505013700002305028700002005051700002405071700002005095700002105115700002805136700002005164700002805184700001905212700002405231700001905255700002205274700002305296700001905319700002205338700001905360700002105379700002205400700002105422700002105443700002005464700001805484700002505502700001905527700002105546700001505567700001505582700002205597700002005619700002405639700002105663700002405684700001805708700002405726700002505750700002605775700002405801700002205825700002105847700001705868700002005885700002305905700002005928700002105948700002305969700002405992700002306016700002306039700002306062700001906085700002406104700002106128700002706149700001906176700002006195700002006215700001806235700002806253700002006281700002406301700001106325700002106336700002306357700002206380700002006402700002106422700002306443700001906466700002006485700001706505700002306522700002106545700002706566700002106593700002506614700001706639700002206656700001906678700002006697700002506717700002906742700002006771700002106791700002606812700002506838700002206863700002006885700001806905700001806923700002406941700001506965700001906980700002206999700001907021700002207040700002207062700002307084700002107107700002407128700002307152700002207175700001907197700001507216700002107231700002007252700002007272700002007292700002407312700002007336700002407356700002207380700002007402700002207422700001907444700002107463700002707484700002007511700001707531700001907548700001707567700002107584700002407605700002307629700001907652700002007671700001907691700002507710710002707735710003807762856003607800 2018 eng d a1537-660500aGenome Analyses of >200,000 Individuals Identify 58 Loci for Chronic Inflammation and Highlight Pathways that Link Inflammation and Complex Disorders.0 aGenome Analyses of 200000 Individuals Identify 58 Loci for Chron c2018 Nov 01 a691-7060 v1033 aC-reactive protein (CRP) is a sensitive biomarker of chronic low-grade inflammation and is associated with multiple complex diseases. The genetic determinants of chronic inflammation remain largely unknown, and the causal role of CRP in several clinical outcomes is debated. We performed two genome-wide association studies (GWASs), on HapMap and 1000 Genomes imputed data, of circulating amounts of CRP by using data from 88 studies comprising 204,402 European individuals. Additionally, we performed in silico functional analyses and Mendelian randomization analyses with several clinical outcomes. The GWAS meta-analyses of CRP revealed 58 distinct genetic loci (p < 5 × 10). After adjustment for body mass index in the regression analysis, the associations at all except three loci remained. The lead variants at the distinct loci explained up to 7.0% of the variance in circulating amounts of CRP. We identified 66 gene sets that were organized in two substantially correlated clusters, one mainly composed of immune pathways and the other characterized by metabolic pathways in the liver. Mendelian randomization analyses revealed a causal protective effect of CRP on schizophrenia and a risk-increasing effect on bipolar disorder. Our findings provide further insights into the biology of inflammation and could lead to interventions for treating inflammation and its clinical consequences.
1 aLigthart, Symen1 aVaez, Ahmad1 aVõsa, Urmo1 aStathopoulou, Maria, G1 ade Vries, Paul, S1 aPrins, Bram, P1 avan der Most, Peter, J1 aTanaka, Toshiko1 aNaderi, Elnaz1 aRose, Lynda, M1 aWu, Ying1 aKarlsson, Robert1 aBarbalic, Maja1 aLin, Honghuang1 aPool, Rene1 aZhu, Gu1 aMace, Aurelien1 aSidore, Carlo1 aTrompet, Stella1 aMangino, Massimo1 aSabater-Lleal, Maria1 aKemp, John, P1 aAbbasi, Ali1 aKacprowski, Tim1 aVerweij, Niek1 aSmith, Albert, V1 aHuang, Tao1 aMarzi, Carola1 aFeitosa, Mary, F1 aLohman, Kurt, K1 aKleber, Marcus, E1 aMilaneschi, Yuri1 aMueller, Christian1 aHuq, Mahmudul1 aVlachopoulou, Efthymia1 aLyytikäinen, Leo-Pekka1 aOldmeadow, Christopher1 aDeelen, Joris1 aPerola, Markus1 aZhao, Jing Hua1 aFeenstra, Bjarke1 aAmini, Marzyeh1 aLahti, Jari1 aSchraut, Katharina, E1 aFornage, Myriam1 aSuktitipat, Bhoom1 aChen, Wei-Min1 aLi, Xiaohui1 aNutile, Teresa1 aMalerba, Giovanni1 aLuan, Jian'an1 aBak, Tom1 aSchork, Nicholas1 aM, Fabiola, del Greco1 aThiering, Elisabeth1 aMahajan, Anubha1 aMarioni, Riccardo, E1 aMihailov, Evelin1 aEriksson, Joel1 aOzel, Ayse, Bilge1 aZhang, Weihua1 aNethander, Maria1 aCheng, Yu-Ching1 aAslibekyan, Stella1 aAng, Wei1 aGandin, Ilaria1 aYengo, Loic1 aPortas, Laura1 aKooperberg, Charles1 aHofer, Edith1 aRajan, Kumar, B1 aSchurmann, Claudia1 aHollander, Wouter, den1 aAhluwalia, Tarunveer, S1 aZhao, Jing1 aDraisma, Harmen, H M1 aFord, Ian1 aTimpson, Nicholas1 aTeumer, Alexander1 aHuang, Hongyan1 aWahl, Simone1 aLiu, Yongmei1 aHuang, Jie1 aUh, Hae-Won1 aGeller, Frank1 aJoshi, Peter, K1 aYanek, Lisa, R1 aTrabetti, Elisabetta1 aLehne, Benjamin1 aVozzi, Diego1 aVerbanck, Marie1 aBiino, Ginevra1 aSaba, Yasaman1 aMeulenbelt, Ingrid1 aO'Connell, Jeff, R1 aLaakso, Markku1 aGiulianini, Franco1 aMagnusson, Patrik, K E1 aBallantyne, Christie, M1 aHottenga, Jouke Jan1 aMontgomery, Grant, W1 aRivadineira, Fernando1 aRueedi, Rico1 aSteri, Maristella1 aHerzig, Karl-Heinz1 aStott, David, J1 aMenni, Cristina1 aFrånberg, Mattias1 aSt Pourcain, Beate1 aFelix, Stephan, B1 aPers, Tune, H1 aBakker, Stephan, J L1 aKraft, Peter1 aPeters, Annette1 aVaidya, Dhananjay1 aDelgado, Graciela1 aSmit, Johannes, H1 aGroßmann, Vera1 aSinisalo, Juha1 aSeppälä, Ilkka1 aWilliams, Stephen, R1 aHolliday, Elizabeth, G1 aMoed, Matthijs1 aLangenberg, Claudia1 aRäikkönen, Katri1 aDing, Jingzhong1 aCampbell, Harry1 aSale, Michèle, M1 aChen, Yii-der, I1 aJames, Alan, L1 aRuggiero, Daniela1 aSoranzo, Nicole1 aHartman, Catharina, A1 aSmith, Erin, N1 aBerenson, Gerald, S1 aFuchsberger, Christian1 aHernandez, Dena1 aTiesler, Carla, M T1 aGiedraitis, Vilmantas1 aLiewald, David1 aFischer, Krista1 aMellström, Dan1 aLarsson, Anders1 aWang, Yunmei1 aScott, William, R1 aLorentzon, Matthias1 aBeilby, John1 aRyan, Kathleen, A1 aPennell, Craig, E1 aVuckovic, Dragana1 aBalkau, Beverly1 aConcas, Maria, Pina1 aSchmidt, Reinhold1 ade Leon, Carlos, F Mendes1 aBottinger, Erwin, P1 aKloppenburg, Margreet1 aPaternoster, Lavinia1 aBoehnke, Michael1 aMusk, A, W1 aWillemsen, Gonneke1 aEvans, David, M1 aMadden, Pamela, A F1 aKähönen, Mika1 aKutalik, Zoltán1 aZoledziewska, Magdalena1 aKarhunen, Ville1 aKritchevsky, Stephen, B1 aSattar, Naveed1 aLachance, Genevieve1 aClarke, Robert1 aHarris, Tamara, B1 aRaitakari, Olli, T1 aAttia, John, R1 avan Heemst, Diana1 aKajantie, Eero1 aSorice, Rossella1 aGambaro, Giovanni1 aScott, Robert, A1 aHicks, Andrew, A1 aFerrucci, Luigi1 aStandl, Marie1 aLindgren, Cecilia, M1 aStarr, John, M1 aKarlsson, Magnus1 aLind, Lars1 aLi, Jun, Z1 aChambers, John, C1 aMori, Trevor, A1 ade Geus, Eco, J C N1 aHeath, Andrew, C1 aMartin, Nicholas, G1 aAuvinen, Juha1 aBuckley, Brendan, M1 ade Craen, Anton, J M1 aWaldenberger, Melanie1 aStrauch, Konstantin1 aMeitinger, Thomas1 aScott, Rodney, J1 aMcEvoy, Mark1 aBeekman, Marian1 aBombieri, Cristina1 aRidker, Paul, M1 aMohlke, Karen, L1 aPedersen, Nancy, L1 aMorrison, Alanna, C1 aBoomsma, Dorret, I1 aWhitfield, John, B1 aStrachan, David, P1 aHofman, Albert1 aVollenweider, Peter1 aCucca, Francesco1 aJarvelin, Marjo-Riitta1 aJukema, Wouter1 aSpector, Tim, D1 aHamsten, Anders1 aZeller, Tanja1 aUitterlinden, André, G1 aNauck, Matthias1 aGudnason, Vilmundur1 aQi, Lu1 aGrallert, Harald1 aBorecki, Ingrid, B1 aRotter, Jerome, I1 aMärz, Winfried1 aWild, Philipp, S1 aLokki, Marja-Liisa1 aBoyle, Michael1 aSalomaa, Veikko1 aMelbye, Mads1 aEriksson, Johan, G1 aWilson, James, F1 aPenninx, Brenda, W J H1 aBecker, Diane, M1 aWorrall, Bradford, B1 aGibson, Greg1 aKrauss, Ronald, M1 aCiullo, Marina1 aZaza, Gianluigi1 aWareham, Nicholas, J1 aOldehinkel, Albertine, J1 aPalmer, Lyle, J1 aMurray, Sarah, S1 aPramstaller, Peter, P1 aBandinelli, Stefania1 aHeinrich, Joachim1 aIngelsson, Erik1 aDeary, Ian, J1 aMägi, Reedik1 aVandenput, Liesbeth1 aHarst, Pim1 aDesch, Karl, C1 aKooner, Jaspal, S1 aOhlsson, Claes1 aHayward, Caroline1 aLehtimäki, Terho1 aShuldiner, Alan, R1 aArnett, Donna, K1 aBeilin, Lawrence, J1 aRobino, Antonietta1 aFroguel, Philippe1 aPirastu, Mario1 aJess, Tine1 aKoenig, Wolfgang1 aLoos, Ruth, J F1 aEvans, Denis, A1 aSchmidt, Helena1 aSmith, George Davey1 aSlagboom, Eline1 aEiriksdottir, Gudny1 aMorris, Andrew, P1 aPsaty, Bruce, M1 aTracy, Russell, P1 aNolte, Ilja, M1 aBoerwinkle, Eric1 aVisvikis-Siest, Sophie1 aReiner, Alex, P1 aGross, Myron1 aBis, Joshua, C1 aFranke, Lude1 aFranco, Oscar, H1 aBenjamin, Emelia, J1 aChasman, Daniel, I1 aDupuis, Josée1 aSnieder, Harold1 aDehghan, Abbas1 aAlizadeh, Behrooz, Z1 aLifeLines Cohort Study1 aCHARGE Inflammation Working Group uhttps://chs-nhlbi.org/node/792001454nas a2200493 4500008004100000022001400041245010500055210006900160260001300229300001200242490000700254100001800261700002200279700002300301700002300324700002300347700002200370700002200392700001800414700001600432700001500448700002300463700001700486700002400503700002200527700002200549700002000571700002400591700002100615700002000636700001900656700002000675700002200695700002000717700002500737700002200762700002200784700002000806700002800826700002200854700002400876700002400900856003600924 2019 eng d a2574-830000aCommon Genetic Variation in Relation to Brachial Vascular Dimensions and Flow-Mediated Vasodilation.0 aCommon Genetic Variation in Relation to Brachial Vascular Dimens c2019 Feb ae0024090 v121 aDörr, Marcus1 aHamburg, Naomi, M1 aMüller, Christian1 aSmith, Nicholas, L1 aGustafsson, Stefan1 aLehtimäki, Terho1 aTeumer, Alexander1 aZeller, Tanja1 aLi, Xiaohui1 aLind, Lars1 aRaitakari, Olli, T1 aVölker, Uwe1 aBlankenberg, Stefan1 aMcKnight, Barbara1 aMorris, Andrew, P1 aKähönen, Mika1 aLemaitre, Rozenn, N1 aWild, Philipp, S1 aNauck, Matthias1 aVölzke, Henry1 aMünzel, Thomas1 aMitchell, Gary, F1 aPsaty, Bruce, M1 aLindgren, Cecilia, M1 aLarson, Martin, G1 aFelix, Stephan, B1 aIngelsson, Erik1 aLyytikäinen, Leo-Pekka1 aHerrington, David1 aBenjamin, Emelia, J1 aSchnabel, Renate, B uhttps://chs-nhlbi.org/node/797204831nas a2201009 4500008004100000022001400041245014800055210006900203260001600272300001400288490000700302520194700309653000902256653002802265653003002293653001902323653002502342653004102367653002902408653002502437653002002462653003502482653001102517653001102528653001702539653003402556653001102590653001702601653000902618653001602627653002402643653001802667653001802685653002102703653002902724653003602753653002002789653001702809653002602826653001802852653001702870100002502887700002402912700002002936700002002956700001902976700002202995700002103017700001803038700001903056700002003075700001603095700001803111700001503129700002503144700002103169700001903190700001803209700002103227700002203248700002103270700002203291700001303313700001603326700001703342700001603359700002603375700001803401700001903419700002003438700001403458700001903472700002403491700002903515700002003544700001903564700002103583700002503604700001603629700002703645700002103672700002103693700002803714700002103742700002203763856003603785 2019 eng d a1941-722500aGenome-Wide Association Study of Apparent Treatment-Resistant Hypertension in the CHARGE Consortium: The CHARGE Pharmacogenetics Working Group.0 aGenomeWide Association Study of Apparent TreatmentResistant Hype c2019 Nov 15 a1146-11530 v323 aBACKGROUND: Only a handful of genetic discovery efforts in apparent treatment-resistant hypertension (aTRH) have been described.
METHODS: We conducted a case-control genome-wide association study of aTRH among persons treated for hypertension, using data from 10 cohorts of European ancestry (EA) and 5 cohorts of African ancestry (AA). Cases were treated with 3 different antihypertensive medication classes and had blood pressure (BP) above goal (systolic BP ≥ 140 mm Hg and/or diastolic BP ≥ 90 mm Hg) or 4 or more medication classes regardless of BP control (nEA = 931, nAA = 228). Both a normotensive control group and a treatment-responsive control group were considered in separate analyses. Normotensive controls were untreated (nEA = 14,210, nAA = 2,480) and had systolic BP/diastolic BP < 140/90 mm Hg. Treatment-responsive controls (nEA = 5,266, nAA = 1,817) had BP at goal (<140/90 mm Hg), while treated with one antihypertensive medication class. Individual cohorts used logistic regression with adjustment for age, sex, study site, and principal components for ancestry to examine the association of single-nucleotide polymorphisms with case-control status. Inverse variance-weighted fixed-effects meta-analyses were carried out using METAL.
RESULTS: The known hypertension locus, CASZ1, was a top finding among EAs (P = 1.1 × 10-8) and in the race-combined analysis (P = 1.5 × 10-9) using the normotensive control group (rs12046278, odds ratio = 0.71 (95% confidence interval: 0.6-0.8)). Single-nucleotide polymorphisms in this locus were robustly replicated in the Million Veterans Program (MVP) study in consideration of a treatment-responsive control group. There were no statistically significant findings for the discovery analyses including treatment-responsive controls.
CONCLUSION: This genomic discovery effort for aTRH identified CASZ1 as an aTRH risk locus.
10aAged10aAntihypertensive Agents10aBlack or African American10aBlood Pressure10aCase-Control Studies10aDNA (Cytosine-5-)-Methyltransferases10aDNA Methyltransferase 3A10aDNA-Binding Proteins10aDrug Resistance10aDystrophin-Associated Proteins10aEurope10aFemale10aGenetic Loci10aGenome-Wide Association Study10aHumans10aHypertension10aMale10aMiddle Aged10aMyosin Heavy Chains10aMyosin Type V10aNeuropeptides10aPharmacogenetics10aPharmacogenomic Variants10aPolymorphism, Single Nucleotide10aRisk Assessment10aRisk Factors10aTranscription Factors10aUnited States10aWhite People1 aIrvin, Marguerite, R1 aSitlani, Colleen, M1 aFloyd, James, S1 aPsaty, Bruce, M1 aBis, Joshua, C1 aWiggins, Kerri, L1 aWhitsel, Eric, A1 aStürmer, Til1 aStewart, James1 aRaffield, Laura1 aSun, Fangui1 aLiu, Ching-Ti1 aXu, Hanfei1 aCupples, Adrienne, L1 aTanner, Rikki, M1 aRossing, Peter1 aSmith, Albert1 aZilhão, Nuno, R1 aLauner, Lenore, J1 aNoordam, Raymond1 aRotter, Jerome, I1 aYao, Jie1 aLi, Xiaohui1 aGuo, Xiuqing1 aLimdi, Nita1 aSundaresan, Aishwarya1 aLange, Leslie1 aCorrea, Adolfo1 aStott, David, J1 aFord, Ian1 aJukema, Wouter1 aGudnason, Vilmundur1 aMook-Kanamori, Dennis, O1 aTrompet, Stella1 aPalmas, Walter1 aWarren, Helen, R1 aHellwege, Jacklyn, N1 aGiri, Ayush1 aO'donnell, Christopher1 aHung, Adriana, M1 aEdwards, Todd, L1 aAhluwalia, Tarunveer, S1 aArnett, Donna, K1 aAvery, Christy, L uhttps://chs-nhlbi.org/node/937204450nas a2201069 4500008004100000022001400041245015100055210006900206260001300275300001200288490000700300520139200307100002101699700001901720700002301739700002301762700001601785700002001801700001901821700002101840700002501861700002301886700002101909700001801930700002201948700001701970700002701987700002202014700001702036700002102053700002002074700002002094700001502114700001402129700001702143700001602160700001702176700001702193700002102210700001702231700001302248700002002261700002102281700001902302700002302321700001402344700002102358700001902379700002302398700001802421700001802439700003202457700002702489700001702516700002202533700001602555700001902571700002302590700002102613700001902634700002102653700002202674700001802696700002002714700002202734700001702756700002002773700001702793700001902810700002102829700001902850700002002869700001902889700002402908700002302932700001802955700002202973700002102995700002103016700002503037700001903062700002303081700001803104700002403122700001803146700002203164700002203186700002003208700001803228710009803246856003603344 2019 eng d a1939-327X00aMultiethnic Genome-Wide Association Study of Diabetic Retinopathy Using Liability Threshold Modeling of Duration of Diabetes and Glycemic Control.0 aMultiethnic GenomeWide Association Study of Diabetic Retinopathy c2019 Feb a441-4560 v683 aTo identify genetic variants associated with diabetic retinopathy (DR), we performed a large multiethnic genome-wide association study. Discovery included eight European cohorts ( = 3,246) and seven African American cohorts ( = 2,611). We meta-analyzed across cohorts using inverse-variance weighting, with and without liability threshold modeling of glycemic control and duration of diabetes. Variants with a value <1 × 10 were investigated in replication cohorts that included 18,545 European, 16,453 Asian, and 2,710 Hispanic subjects. After correction for multiple testing, the C allele of rs142293996 in an intron of nuclear VCP-like () was associated with DR in European discovery cohorts ( = 2.1 × 10), but did not reach genome-wide significance after meta-analysis with replication cohorts. We applied the Disease Association Protein-Protein Link Evaluator (DAPPLE) to our discovery results to test for evidence of risk being spread across underlying molecular pathways. One protein-protein interaction network built from genes in regions associated with proliferative DR was found to have significant connectivity ( = 0.0009) and corroborated with gene set enrichment analyses. These findings suggest that genetic variation in as well as variation within a protein-protein interaction network that includes genes implicated in inflammation, may influence risk for DR.
1 aPollack, Samuela1 aIgo, Robert, P1 aJensen, Richard, A1 aChristiansen, Mark1 aLi, Xiaohui1 aCheng, Ching-Yu1 aC Y Ng, Maggie1 aSmith, Albert, V1 aRossin, Elizabeth, J1 aSegrè, Ayellet, V1 aDavoudi, Samaneh1 aTan, Gavin, S1 aChen, Yii-Der Ida1 aKuo, Jane, Z1 aDimitrov, Latchezar, M1 aStanwyck, Lynn, K1 aMeng, Weihua1 aHosseini, Mohsen1 aImamura, Minako1 aNousome, Darryl1 aKim, Jihye1 aHai, Yang1 aJia, Yucheng1 aAhn, Jeeyun1 aLeong, Aaron1 aShah, Kaanan1 aPark, Kyu, Hyung1 aGuo, Xiuqing1 aIpp, Eli1 aTaylor, Kent, D1 aAdler, Sharon, G1 aSedor, John, R1 aFreedman, Barry, I1 aLee, I-Te1 aSheu, Wayne, H-H1 aKubo, Michiaki1 aTakahashi, Atsushi1 aHadjadj, Samy1 aMarre, Michel1 aTrégouët, David-Alexandre1 aMcKean-Cowdin, Roberta1 aVarma, Rohit1 aMcCarthy, Mark, I1 aGroop, Leif1 aAhlqvist, Emma1 aLyssenko, Valeriya1 aAgardh, Elisabet1 aMorris, Andrew1 aDoney, Alex, S F1 aColhoun, Helen, M1 aToppila, Iiro1 aSandholm, Niina1 aGroop, Per-Henrik1 aMaeda, Shiro1 aHanis, Craig, L1 aPenman, Alan1 aChen, Ching, J1 aHancock, Heather1 aMitchell, Paul1 aCraig, Jamie, E1 aChew, Emily, Y1 aPaterson, Andrew, D1 aGrassi, Michael, A1 aPalmer, Colin1 aBowden, Donald, W1 aYaspan, Brian, L1 aSiscovick, David1 aCotch, Mary, Frances1 aWang, Jie, Jin1 aBurdon, Kathryn, P1 aWong, Tien, Y1 aKlein, Barbara, E K1 aKlein, Ronald1 aRotter, Jerome, I1 aIyengar, Sudha, K1 aPrice, Alkes, L1 aSobrin, Lucia1 aFamily Investigation of Nephropathy and Diabetes-Eye Research Group, DCCT/EDIC Research Group uhttps://chs-nhlbi.org/node/799002408nas a2200361 4500008004100000022001400041245012300055210006900178260001600247520131200263100002201575700002001597700001701617700002201634700001801656700001801674700002301692700002301715700002501738700001601763700001701779700002301796700002501819700002201844700002201866700002001888700002201908700002201930700001901952700001901971710002001990856003602010 2019 eng d a1473-115000aStatin-induced LDL cholesterol response and type 2 diabetes: a bidirectional two-sample Mendelian randomization study.0 aStatininduced LDL cholesterol response and type 2 diabetes a bid c2019 Dec 053 aIt remains unclear whether the increased risk of new-onset type 2 diabetes (T2D) seen in statin users is due to low LDL-C concentrations, or due to the statin-induced proportional change in LDL-C. In addition, genetic instruments have not been proposed before to examine whether liability to T2D might cause greater proportional statin-induced LDL-C lowering. Using summary-level statistics from the Genomic Investigation of Statin Therapy (GIST, n = 40,914) and DIAGRAM (n = 159,208) consortia, we found a positive genetic correlation between LDL-C statin response and T2D using LD score regression (r = 0.36, s.e. = 0.13). However, mendelian randomization analyses did not provide support for statin response having a causal effect on T2D risk (OR 1.00 (95% CI: 0.97, 1.03) per 10% increase in statin response), nor that liability to T2D has a causal effect on statin-induced LDL-C response (0.20% increase in response (95% CI: -0.40, 0.80) per doubling of odds of liability to T2D). Although we found no evidence to suggest that proportional statin response influences T2D risk, a definitive assessment should be made in populations comprised exclusively of statin users, as the presence of nonstatin users in the DIAGRAM dataset may have substantially diluted our effect estimate.
1 aSmit, Roelof, A J1 aTrompet, Stella1 aLeong, Aaron1 aGoodarzi, Mark, O1 aPostmus, Iris1 aWarren, Helen1 aTheusch, Elizabeth1 aBarnes, Michael, R1 aArsenault, Benoit, J1 aLi, Xiaohui1 aFeng, QiPing1 aChasman, Daniel, I1 aCupples, Adrienne, L1 aHitman, Graham, A1 aKrauss, Ronald, M1 aPsaty, Bruce, M1 aRotter, Jerome, I1 ale Cessie, Saskia1 aStein, Michael1 aJukema, Wouter1 aGIST consortium uhttps://chs-nhlbi.org/node/829204581nas a2200541 4500008004100000022001400041245005500055210005400110260001500164300001200179490000800191520308300199653001003282653001103292653003303303653003803336653003403374653001103408653001603419653001103435653002003446653000903466653001603475653003603491100002403527700002303551700002403574700002503598700002603623700001503649700002503664700002203689700001903711700002303730700002203753700002103775700001603796700001903812700002303831700002203854700002003876700002003896700002503916700001903941700002003960700002303980856003604003 2020 eng d a2168-617300aAssociation of Genetic Variation With Keratoconus.0 aAssociation of Genetic Variation With Keratoconus c2020 02 01 a174-1810 v1383 aImportance: Keratoconus is a condition in which the cornea progressively thins and protrudes in a conical shape, severely affecting refraction and vision. It is a major indication for corneal transplant. To discover new genetic loci associated with keratoconus and better understand the causative mechanism of this disease, we performed a genome-wide association study on patients with keratoconus.
Objective: To identify genetic susceptibility regions for keratoconus in the human genome.
Design, Setting, and Participants: This study was conducted with data from eye clinics in Australia, the United States, and Northern Ireland. The discovery cohort of individuals with keratoconus and control participants from Australia was genotyped using the Illumina HumanCoreExome single-nucleotide polymorphism array. After quality control and data cleaning, genotypes were imputed against the 1000 Genomes Project reference panel (phase III; version 5), and association analyses were completed using PLINK version 1.90. Single-nucleotide polymorphisms with P < 1.00 × 10-6 were assessed for replication in 3 additional cohorts. Control participants were drawn from the cohorts of the Blue Mountains Eye Study and a previous study of glaucoma. Replication cohorts were from a previous keratoconus genome-wide association study data set from the United States, a cohort of affected and control participants from Australia and Northern Ireland, and a case-control cohort from Victoria, Australia. Data were collected from January 2006 to March 2019.
Main Outcomes and Measures: Associations between keratoconus and 6 252 612 genetic variants were estimated using logistic regression after adjusting for ancestry using the first 3 principal components.
Results: The discovery cohort included 522 affected individuals and 655 control participants, while the replication cohorts included 818 affected individuals (222 from the United States, 331 from Australia and Northern Ireland, and 265 from Victoria, Australia) and 3858 control participants (2927 from the United States, 229 from Australia and Northern Ireland, and 702 from Victoria, Australia). Two novel loci reached genome-wide significance (defined as P < 5.00 × 10-8), with a P value of 7.46 × 10-9 at rs61876744 in patatin-like phospholipase domain-containing 2 gene (PNPLA2) on chromosome 11 and a P value of 6.35 × 10-12 at rs138380, 2.2 kb upstream of casein kinase I isoform epsilon gene (CSNK1E) on chromosome 22. One additional locus was identified with a P value less than 1.00 × 10-6 in mastermind-like transcriptional coactivator 2 (MAML2) on chromosome 11 (P = 3.91 × 10-7). The novel locus in PNPLA2 reached genome-wide significance in an analysis of all 4 cohorts (P = 2.45 × 10-8).
Conclusions and Relevance: In this relatively large keratoconus genome-wide association study, we identified a genome-wide significant locus for keratoconus in the region of PNPLA2 on chromosome 11.
10aAdult10aFemale10aFuchs' Endothelial Dystrophy10aGenetic Predisposition to Disease10aGenome-Wide Association Study10aHumans10aKeratoconus10aLipase10aLogistic Models10aMale10aMiddle Aged10aPolymorphism, Single Nucleotide1 aMcComish, Bennet, J1 aSahebjada, Srujana1 aBykhovskaya, Yelena1 aWilloughby, Colin, E1 aRichardson, Andrea, J1 aTenen, Abi1 aCharlesworth, Jac, C1 aMacgregor, Stuart1 aMitchell, Paul1 aLucas, Sionne, E M1 aMills, Richard, A1 aMackey, David, A1 aLi, Xiaohui1 aWang, Jie, Jin1 aJensen, Richard, A1 aRotter, Jerome, I1 aTaylor, Kent, D1 aHewitt, Alex, W1 aRabinowitz, Yaron, S1 aBaird, Paul, N1 aCraig, Jamie, E1 aBurdon, Kathryn, P uhttps://chs-nhlbi.org/node/863102876nas a2200337 4500008004100000022001400041245014800055210006900203260000900272300001100281490000700292520184000299100002002139700001802159700002102177700002102198700002202219700002302241700001602264700002202280700002302302700002202325700002402347700002202371700002002393700002302413700001902436700002502455700002202480856003602502 2021 eng d a1663-981200aThe Pharmacogenetics of Statin Therapy on Clinical Events: No Evidence that Genetic Variation Affects Statin Response on Myocardial Infarction.0 aPharmacogenetics of Statin Therapy on Clinical Events No Evidenc c2021 a6798570 v123 aThe pharmacogenetic effect on cardiovascular disease reduction in response to statin treatment has only been assessed in small studies. In a pharmacogenetic genome wide association study (GWAS) analysis within the Genomic Investigation of Statin Therapy (GIST) consortium, we investigated whether genetic variation was associated with the response of statins on cardiovascular disease risk reduction. The investigated endpoint was incident myocardial infarction (MI) defined as coronary heart disease death and definite and suspect non-fatal MI. For imputed single nucleotide polymorphisms (SNPs), regression analysis was performed on expected allelic dosage and meta-analysed with a fixed-effects model, inverse variance weighted meta-analysis. All SNPs with -values <5.0 × 10 in stage 1 GWAS meta-analysis were selected for further investigation in stage-2. As a secondary analysis, we extracted SNPs from the Stage-1 GWAS meta-analysis results based on predefined hypotheses to possibly modifying the effect of statin therapy on MI. In stage-1 meta-analysis (eight studies, = 10,769, 4,212 cases), we observed no genome-wide significant results ( < 5.0 × 10). A total of 144 genetic variants were followed-up in the second stage (three studies, = 1,525, 180 cases). In the combined meta-analysis, no genome-wide significant hits were identified. Moreover, none of the look-ups of SNPs known to be associated with either CHD or with statin response to cholesterol levels reached Bonferroni level of significance within our stage-1 meta-analysis. This GWAS analysis did not provide evidence that genetic variation affects statin response on cardiovascular risk reduction. It does not appear likely that genetic testing for predicting effects of statins on clinical events will become a useful tool in clinical practice.
1 aTrompet, Stella1 aPostmus, Iris1 aWarren, Helen, R1 aNoordam, Raymond1 aSmit, Roelof, A J1 aTheusch, Elizabeth1 aLi, Xiaohui1 aArsenault, Benoit1 aChasman, Daniel, I1 aHitman, Graham, A1 aMunroe, Patricia, B1 aRotter, Jerome, I1 aPsaty, Bruce, M1 aCaulfield, Mark, J1 aKrauss, Ron, M1 aCupples, Adrienne, L1 aJukema, Wouter, J uhttps://chs-nhlbi.org/node/8980