03799nas a2200757 4500008004100000022001400041245019200055210006900247260001300316300001200329490000700341520158600348653002301934653002101957653004101978653001902019653000902038653002602047653002602073653002502099653002702124653001602151653002502167653001102192653001102203653000902214653001602223653003602239100002002275700002002295700002702315700001902342700001802361700001302379700002002392700002302412700001502435700001902450700002002469700002002489700002502509700002502534700001902559700002202578700002102600700001802621700002002639700001802659700002202677700002102699700002502720700002202745700001702767700002302784700002002807700002102827700001902848700001202867700001302879700001902892700002502911700002402936700002102960700002402981856003603005 2015 eng d a1613-413300aDietary fatty acids modulate associations between genetic variants and circulating fatty acids in plasma and erythrocyte membranes: Meta-analysis of nine studies in the CHARGE consortium.0 aDietary fatty acids modulate associations between genetic varian c2015 Jul a1373-830 v593 a
SCOPE: Tissue concentrations of omega-3 fatty acids may reduce cardiovascular disease risk, and genetic variants are associated with circulating fatty acids concentrations. Whether dietary fatty acids interact with genetic variants to modify circulating omega-3 fatty acids is unclear. We evaluated interactions between genetic variants and fatty acid intakes for circulating alpha-linoleic acid, eicosapentaenoic acid, docosahexaenoic acid, and docosapentaenoic acid.
METHODS AND RESULTS: We conducted meta-analyses (N = 11 668) evaluating interactions between dietary fatty acids and genetic variants (rs174538 and rs174548 in FADS1 (fatty acid desaturase 1), rs7435 in AGPAT3 (1-acyl-sn-glycerol-3-phosphate), rs4985167 in PDXDC1 (pyridoxal-dependent decarboxylase domain-containing 1), rs780094 in GCKR (glucokinase regulatory protein), and rs3734398 in ELOVL2 (fatty acid elongase 2)). Stratification by measurement compartment (plasma versus erthyrocyte) revealed compartment-specific interactions between FADS1 rs174538 and rs174548 and dietary alpha-linolenic acid and linoleic acid for docosahexaenoic acid and docosapentaenoic acid.
CONCLUSION: Our findings reinforce earlier reports that genetically based differences in circulating fatty acids may be partially due to differences in the conversion of fatty acid precursors. Further, fatty acids measurement compartment may modify gene-diet relationships, and considering compartment may improve the detection of gene-fatty acids interactions for circulating fatty acid outcomes.
10aAcetyltransferases10aAcyltransferases10aAdaptor Proteins, Signal Transducing10aCarboxy-Lyases10aDiet10aDocosahexaenoic Acids10aEicosapentaenoic Acid10aErythrocyte Membrane10aFatty Acid Desaturases10aFatty Acids10aFatty Acids, Omega-310aFemale10aHumans10aMale10aMiddle Aged10aPolymorphism, Single Nucleotide1 aSmith, Caren, E1 aFollis, Jack, L1 aNettleton, Jennifer, A1 aFoy, Millennia1 aH Y Wu, Jason1 aMa, Yiyi1 aTanaka, Toshiko1 aManichakul, Ani, W1 aWu, Hongyu1 aChu, Audrey, Y1 aSteffen, Lyn, M1 aFornage, Myriam1 aMozaffarian, Dariush1 aKabagambe, Edmond, K1 aFerruci, Luigi1 aChen, Yii-Der Ida1 aRich, Stephen, S1 aDjoussé, Luc1 aRidker, Paul, M1 aTang, Weihong1 aMcKnight, Barbara1 aTsai, Michael, Y1 aBandinelli, Stefania1 aRotter, Jerome, I1 aHu, Frank, B1 aChasman, Daniel, I1 aPsaty, Bruce, M1 aArnett, Donna, K1 aKing, Irena, B1 aSun, Qi1 aWang, Lu1 aLumley, Thomas1 aChiuve, Stephanie, E1 aSiscovick, David, S1 aOrdovas, Jose, M1 aLemaitre, Rozenn, N uhttps://chs-nhlbi.org/node/668705111nas a2200877 4500008004100000022001400041245025000055210006900305260001300374300001100387490000800398520248000406653002202886653003902908653002102947653001902968653000902987653002002996653002603016653002403042653001603066653003103082653001103113653001103124653003603135653003003171653001803201100001303219700002003232700002003252700002003272700002403292700001903316700002103335700001403356700001703370700001303387700001903400700002103419700002303440700002003463700002303483700002103506700002003527700002803547700002303575700001503598700002203613700002103635700001303656700002503669700002003694700002503714700001603739700002203755700002603777700002003803700001903823700002503842700002203867700002503889700002103914700002003935700002003955700002503975700001704000700002204017700003004039700002004069700002404089700001804113700002104131700002104152700002404173856003604197 2016 eng d a1938-320700aInteraction of methylation-related genetic variants with circulating fatty acids on plasma lipids: a meta-analysis of 7 studies and methylation analysis of 3 studies in the Cohorts for Heart and Aging Research in Genomic Epidemiology consortium.0 aInteraction of methylationrelated genetic variants with circulat c2016 Feb a567-780 v1033 aBACKGROUND: DNA methylation is influenced by diet and single nucleotide polymorphisms (SNPs), and methylation modulates gene expression.
OBJECTIVE: We aimed to explore whether the gene-by-diet interactions on blood lipids act through DNA methylation.
DESIGN: We selected 7 SNPs on the basis of predicted relations in fatty acids, methylation, and lipids. We conducted a meta-analysis and a methylation and mediation analysis with the use of data from the CHARGE (Cohorts for Heart and Aging Research in Genomic Epidemiology) consortium and the ENCODE (Encyclopedia of DNA Elements) consortium.
RESULTS: On the basis of the meta-analysis of 7 cohorts in the CHARGE consortium, higher plasma HDL cholesterol was associated with fewer C alleles at ATP-binding cassette subfamily A member 1 (ABCA1) rs2246293 (β = -0.6 mg/dL, P = 0.015) and higher circulating eicosapentaenoic acid (EPA) (β = 3.87 mg/dL, P = 5.62 × 10(21)). The difference in HDL cholesterol associated with higher circulating EPA was dependent on genotypes at rs2246293, and it was greater for each additional C allele (β = 1.69 mg/dL, P = 0.006). In the GOLDN (Genetics of Lipid Lowering Drugs and Diet Network) study, higher ABCA1 promoter cg14019050 methylation was associated with more C alleles at rs2246293 (β = 8.84%, P = 3.51 × 10(18)) and lower circulating EPA (β = -1.46%, P = 0.009), and the mean difference in methylation of cg14019050 that was associated with higher EPA was smaller with each additional C allele of rs2246293 (β = -2.83%, P = 0.007). Higher ABCA1 cg14019050 methylation was correlated with lower ABCA1 expression (r = -0.61, P = 0.009) in the ENCODE consortium and lower plasma HDL cholesterol in the GOLDN study (r = -0.12, P = 0.0002). An additional mediation analysis was meta-analyzed across the GOLDN study, Cardiovascular Health Study, and the Multi-Ethnic Study of Atherosclerosis. Compared with the model without the adjustment of cg14019050 methylation, the model with such adjustment provided smaller estimates of the mean plasma HDL cholesterol concentration in association with both the rs2246293 C allele and EPA and a smaller difference by rs2246293 genotypes in the EPA-associated HDL cholesterol. However, the differences between 2 nested models were NS (P > 0.05).
CONCLUSION: We obtained little evidence that the gene-by-fatty acid interactions on blood lipids act through DNA methylation.
10aApolipoproteins E10aATP Binding Cassette Transporter 110aCholesterol, HDL10aCohort Studies10aDiet10aDNA Methylation10aEicosapentaenoic Acid10aEpigenesis, Genetic10aFatty Acids10aGene Expression Regulation10aHumans10aLipids10aPolymorphism, Single Nucleotide10aPromoter Regions, Genetic10aTriglycerides1 aMa, Yiyi1 aFollis, Jack, L1 aSmith, Caren, E1 aTanaka, Toshiko1 aManichaikul, Ani, W1 aChu, Audrey, Y1 aSamieri, Cecilia1 aZhou, Xia1 aGuan, Weihua1 aWang, Lu1 aBiggs, Mary, L1 aChen, Yii-der, I1 aHernandez, Dena, G1 aBorecki, Ingrid1 aChasman, Daniel, I1 aRich, Stephen, S1 aFerrucci, Luigi1 aIrvin, Marguerite, Ryan1 aAslibekyan, Stella1 aZhi, Degui1 aTiwari, Hemant, K1 aClaas, Steven, A1 aSha, Jin1 aKabagambe, Edmond, K1 aLai, Chao-Qiang1 aParnell, Laurence, D1 aLee, Yu-Chi1 aAmouyel, Philippe1 aLambert, Jean-Charles1 aPsaty, Bruce, M1 aKing, Irena, B1 aMozaffarian, Dariush1 aMcKnight, Barbara1 aBandinelli, Stefania1 aTsai, Michael, Y1 aRidker, Paul, M1 aDing, Jingzhong1 aMstat, Kurt, Lohmant1 aLiu, Yongmei1 aSotoodehnia, Nona1 aBarberger-Gateau, Pascale1 aSteffen, Lyn, M1 aSiscovick, David, S1 aAbsher, Devin1 aArnett, Donna, K1 aOrdovas, Jose, M1 aLemaitre, Rozenn, N uhttps://chs-nhlbi.org/node/695103317nas a2200649 4500008004100000022001400041245014700055210006900202260000900271300000900280490000700289520140100296100002301697700001901720700002601739700002101765700002201786700001801808700002301826700002101849700002401870700002101894700002101915700002301936700001801959700002101977700001801998700001702016700001802033700001802051700001802069700002402087700001302111700001702124700001402141700002302155700001902178700001702197700002202214700001702236700002102253700002802274700002002302700001902322700002502341700002002366700002002386700002502406700001802431700002102449700001902470700003102489700002002520700002202540710006902562856003602631 2018 eng d a1421-982400aGenetic Variation in Genes Underlying Diverse Dementias May Explain a Small Proportion of Cases in the Alzheimer's Disease Sequencing Project.0 aGenetic Variation in Genes Underlying Diverse Dementias May Expl c2018 a1-170 v453 aBACKGROUND/AIMS: The Alzheimer's Disease Sequencing Project (ADSP) aims to identify novel genes influencing Alzheimer's disease (AD). Variants within genes known to cause dementias other than AD have previously been associated with AD risk. We describe evidence of co-segregation and associations between variants in dementia genes and clinically diagnosed AD within the ADSP.
METHODS: We summarize the properties of known pathogenic variants within dementia genes, describe the co-segregation of variants annotated as "pathogenic" in ClinVar and new candidates observed in ADSP families, and test for associations between rare variants in dementia genes in the ADSP case-control study. The participants were clinically evaluated for AD, and they represent European, Caribbean Hispanic, and isolate Dutch populations.
RESULTS/CONCLUSIONS: Pathogenic variants in dementia genes were predominantly rare and conserved coding changes. Pathogenic variants within ARSA, CSF1R, and GRN were observed, and candidate variants in GRN and CHMP2B were nominated in ADSP families. An independent case-control study provided evidence of an association between variants in TREM2, APOE, ARSA, CSF1R, PSEN1, and MAPT and risk of AD. Variants in genes which cause dementing disorders may influence the clinical diagnosis of AD in a small proportion of cases within the ADSP.
1 aBlue, Elizabeth, E1 aBis, Joshua, C1 aDorschner, Michael, O1 aTsuang, Debby, W1 aBarral, Sandra, M1 aBeecham, Gary1 aBelow, Jennifer, E1 aBush, William, S1 aButkiewicz, Mariusz1 aCruchaga, Carlos1 aDeStefano, Anita1 aFarrer, Lindsay, A1 aGoate, Alison1 aHaines, Jonathan1 aJaworski, Jim1 aJun, Gyungah1 aKunkle, Brian1 aKuzma, Amanda1 aLee, Jenny, J1 aLunetta, Kathryn, L1 aMa, Yiyi1 aMartin, Eden1 aNaj, Adam1 aNato, Alejandro, Q1 aNavas, Patrick1 aNguyen, Hiep1 aReitz, Christiane1 aReyes, Dolly1 aSalerno, William1 aSchellenberg, Gerard, D1 aSeshadri, Sudha1 aSohi, Harkirat1 aThornton, Timothy, A1 aValadares, Otto1 aDuijn, Cornelia1 aVardarajan, Badri, N1 aSan Wang, Li-1 aBoerwinkle, Eric1 aDupuis, Josée1 aPericak-Vance, Margaret, A1 aMayeux, Richard1 aWijsman, Ellen, M1 aon behalf of the Alzheimer’s Disease Sequencing Project uhttps://chs-nhlbi.org/node/778605481nas a2201285 4500008004100000022001400041245015800055210006900213260001600282520179200298100001902090700001702109700002102126700001702147700002902164700002102193700002402214700002002238700001302258700002002271700002102291700002102312700001302333700001502346700001902361700001602380700002202396700002102418700002302439700002302462700002502485700001902510700001902529700002102548700002502569700003002594700002302624700002702647700002002674700002302694700002202717700002202739700001802761700002802779700001902807700002402826700002202850700002102872700002002893700002402913700002002937700001902957700001602976700001802992700002003010700001803030700002203048700001903070700001803089700002003107700002003127700001903147700002003166700001803186700001903204700002003223700003103243700001903274700002003293700002003313700001903333700001903352700002203371700001903393700002003412700002103432700002003453700002103473700002203494700002103516700002503537700002003562700002403582700002503606700002303631700002203654700001703676700001903693700002303712700002003735700001903755700002003774700002403794700002603818700002003844700001903864700001503883700002103898700002403919700002403943700001903967700002003986700002804006700002004034700001704054700002004071700002304091710004504114856003604159 2018 eng d a1476-557800aWhole exome sequencing study identifies novel rare and common Alzheimer's-Associated variants involved in immune response and transcriptional regulation.0 aWhole exome sequencing study identifies novel rare and common Al c2018 Aug 143 aThe Alzheimer's Disease Sequencing Project (ADSP) undertook whole exome sequencing in 5,740 late-onset Alzheimer disease (AD) cases and 5,096 cognitively normal controls primarily of European ancestry (EA), among whom 218 cases and 177 controls were Caribbean Hispanic (CH). An age-, sex- and APOE based risk score and family history were used to select cases most likely to harbor novel AD risk variants and controls least likely to develop AD by age 85 years. We tested ~1.5 million single nucleotide variants (SNVs) and 50,000 insertion-deletion polymorphisms (indels) for association to AD, using multiple models considering individual variants as well as gene-based tests aggregating rare, predicted functional, and loss of function variants. Sixteen single variants and 19 genes that met criteria for significant or suggestive associations after multiple-testing correction were evaluated for replication in four independent samples; three with whole exome sequencing (2,778 cases, 7,262 controls) and one with genome-wide genotyping imputed to the Haplotype Reference Consortium panel (9,343 cases, 11,527 controls). The top findings in the discovery sample were also followed-up in the ADSP whole-genome sequenced family-based dataset (197 members of 42 EA families and 501 members of 157 CH families). We identified novel and predicted functional genetic variants in genes previously associated with AD. We also detected associations in three novel genes: IGHG3 (p = 9.8 × 10), an immunoglobulin gene whose antibodies interact with β-amyloid, a long non-coding RNA AC099552.4 (p = 1.2 × 10), and a zinc-finger protein ZNF655 (gene-based p = 5.0 × 10). The latter two suggest an important role for transcriptional regulation in AD pathogenesis.
1 aBis, Joshua, C1 aJian, Xueqiu1 aKunkle, Brian, W1 aChen, Yuning1 aHamilton-Nelson, Kara, L1 aBush, William, S1 aSalerno, William, J1 aLancour, Daniel1 aMa, Yiyi1 aRenton, Alan, E1 aMarcora, Edoardo1 aFarrell, John, J1 aZhao, Yi1 aQu, Liming1 aAhmad, Shahzad1 aAmin, Najaf1 aAmouyel, Philippe1 aBeecham, Gary, W1 aBelow, Jennifer, E1 aCampion, Dominique1 aCharbonnier, Camille1 aChung, Jaeyoon1 aCrane, Paul, K1 aCruchaga, Carlos1 aCupples, Adrienne, L1 aDartigues, Jean-François1 aDebette, Stephanie1 aDeleuze, Jean-Francois1 aFulton, Lucinda1 aGabriel, Stacey, B1 aGenin, Emmanuelle1 aGibbs, Richard, A1 aGoate, Alison1 aGrenier-Boley, Benjamin1 aGupta, Namrata1 aHaines, Jonathan, L1 aHavulinna, Aki, S1 aHelisalmi, Seppo1 aHiltunen, Mikko1 aHowrigan, Daniel, P1 aIkram, Arfan, M1 aKaprio, Jaakko1 aKonrad, Jan1 aKuzma, Amanda1 aLander, Eric, S1 aLathrop, Mark1 aLehtimäki, Terho1 aLin, Honghuang1 aMattila, Kari1 aMayeux, Richard1 aMuzny, Donna, M1 aNasser, Waleed1 aNeale, Benjamin1 aNho, Kwangsik1 aNicolas, Gaël1 aPatel, Devanshi1 aPericak-Vance, Margaret, A1 aPerola, Markus1 aPsaty, Bruce, M1 aQuenez, Olivier1 aRajabli, Farid1 aRedon, Richard1 aReitz, Christiane1 aRemes, Anne, M1 aSalomaa, Veikko1 aSarnowski, Chloe1 aSchmidt, Helena1 aSchmidt, Michael1 aSchmidt, Reinhold1 aSoininen, Hilkka1 aThornton, Timothy, A1 aTosto, Giuseppe1 aTzourio, Christophe1 avan der Lee, Sven, J1 aDuijn, Cornelia, M1 aVardarajan, Badri1 aWang, Weixin1 aWijsman, Ellen1 aWilson, Richard, K1 aWitten, Daniela1 aWorley, Kim, C1 aZhang, Xiaoling1 aBellenguez, Céline1 aLambert, Jean-Charles1 aKurki, Mitja, I1 aPalotie, Aarno1 aDaly, Mark1 aBoerwinkle, Eric1 aLunetta, Kathryn, L1 aDeStefano, Anita, L1 aDupuis, Josée1 aMartin, Eden, R1 aSchellenberg, Gerard, D1 aSeshadri, Sudha1 aNaj, Adam, C1 aFornage, Myriam1 aFarrer, Lindsay, A1 aAlzheimer’s Disease Sequencing Project uhttps://chs-nhlbi.org/node/778502046nas a2200289 4500008004100000022001400041245009700055210006900152260001600221520113600237100002001373700001801393700001801411700002501429700001301454700002001467700002101487700001901508700002001527700002401547700002801571700003101599700002401630700002301654710004301677856003601720 2019 eng d a1552-527900aA rare missense variant of CASP7 is associated with familial late-onset Alzheimer's disease.0 arare missense variant of CASP7 is associated with familial lateo c2019 Jan 033 aINTRODUCTION: The genetic architecture of Alzheimer's disease (AD) is only partially understood.
METHODS: We conducted an association study for AD using whole sequence data from 507 genetically enriched AD cases (i.e., cases having close relatives affected by AD) and 4917 cognitively healthy controls of European ancestry (EA) and 172 enriched cases and 179 controls of Caribbean Hispanic ancestry. Confirmation of top findings from stage 1 was sought in two family-based genome-wide association study data sets and in a whole genome-sequencing data set comprising members from 42 EA and 115 Caribbean Hispanic families.
RESULTS: We identified associations in EAs with variants in 12 novel loci. The most robust finding is a rare CASP7 missense variant (rs116437863; P = 2.44 × 10) which improved when combined with results from stage 2 data sets (P = 1.92 × 10).
DISCUSSION: Our study demonstrated that an enriched case design can strengthen genetic signals, thus allowing detection of associations that would otherwise be missed in a traditional case-control study.
1 aZhang, Xiaoling1 aZhu, Congcong1 aBeecham, Gary1 aVardarajan, Badri, N1 aMa, Yiyi1 aLancour, Daniel1 aFarrell, John, J1 aChung, Jaeyoon1 aMayeux, Richard1 aHaines, Jonathan, L1 aSchellenberg, Gerard, D1 aPericak-Vance, Margaret, A1 aLunetta, Kathryn, L1 aFarrer, Lindsay, A1 aAlzheimer's Disease Sequencing Project uhttps://chs-nhlbi.org/node/793215436nas a2205137 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2022 eng d a1546-171800aNew insights into the genetic etiology of Alzheimer's disease and related dementias.0 aNew insights into the genetic etiology of Alzheimers disease and c2022 Apr a412-4360 v543 aCharacterization of the genetic landscape of Alzheimer's disease (AD) and related dementias (ADD) provides a unique opportunity for a better understanding of the associated pathophysiological processes. We performed a two-stage genome-wide association study totaling 111,326 clinically diagnosed/'proxy' AD cases and 677,663 controls. We found 75 risk loci, of which 42 were new at the time of analysis. Pathway enrichment analyses confirmed the involvement of amyloid/tau pathways and highlighted microglia implication. Gene prioritization in the new loci identified 31 genes that were suggestive of new genetically associated processes, including the tumor necrosis factor alpha pathway through the linear ubiquitin chain assembly complex. We also built a new genetic risk score associated with the risk of future AD/dementia or progression from mild cognitive impairment to AD/dementia. The improvement in prediction led to a 1.6- to 1.9-fold increase in AD risk from the lowest to the highest decile, in addition to effects of age and the APOE ε4 allele.
10aAlzheimer Disease10aCognitive Dysfunction10aGenome-Wide Association Study10aHumans10atau Proteins1 aBellenguez, Céline1 aKüçükali, Fahri1 aJansen, Iris, E1 aKleineidam, Luca1 aMoreno-Grau, Sonia1 aAmin, Najaf1 aNaj, Adam, C1 aCampos-Martin, Rafael1 aGrenier-Boley, Benjamin1 aAndrade, Victor1 aHolmans, Peter, A1 aBoland, Anne1 aDamotte, Vincent1 avan der Lee, Sven, J1 aCosta, Marcos, R1 aKuulasmaa, Teemu1 aYang, Qiong1 ade Rojas, Itziar1 aBis, Joshua, C1 aYaqub, Amber1 aProkic, Ivana1 aChapuis, Julien1 aAhmad, Shahzad1 aGiedraitis, Vilmantas1 aAarsland, Dag1 aGarcia-Gonzalez, Pablo1 aAbdelnour, Carla1 aAlarcón-Martín, Emilio1 aAlcolea, Daniel1 aAlegret, Montserrat1 aAlvarez, Ignacio1 aAlvarez, Victoria1 aArmstrong, Nicola, J1 aTsolaki, Anthoula1 aAntunez, Carmen1 aAppollonio, Ildebrando1 aArcaro, Marina1 aArchetti, Silvana1 aPastor, Alfonso, Arias1 aArosio, Beatrice1 aAthanasiu, Lavinia1 aBailly, Henri1 aBanaj, Nerisa1 aBaquero, Miquel1 aBarral, Sandra1 aBeiser, Alexa1 aPastor, Ana, 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Roberta1 aGiegling, Ina1 aGiorgio, Giaccone1 aGoate, Alison, M1 aGoldhardt, Oliver1 aGomez-Fonseca, Duber1 aGonzález-Perez, Antonio1 aGraff, Caroline1 aGrande, Giulia1 aGreen, Emma1 aGrimmer, Timo1 aGrünblatt, Edna1 aGrunin, Michelle1 aGudnason, Vilmundur1 aGuetta-Baranes, Tamar1 aHaapasalo, Annakaisa1 aHadjigeorgiou, Georgios1 aHaines, Jonathan, L1 aHamilton-Nelson, Kara, L1 aHampel, Harald1 aHanon, Olivier1 aHardy, John1 aHartmann, Annette, M1 aHausner, Lucrezia1 aHarwood, Janet1 aHeilmann-Heimbach, Stefanie1 aHelisalmi, Seppo1 aHeneka, Michael, T1 aHernandez, Isabel1 aHerrmann, Martin, J1 aHoffmann, Per1 aHolmes, Clive1 aHolstege, Henne1 aVilas, Raquel, Huerto1 aHulsman, Marc1 aHumphrey, Jack1 aBiessels, Geert, Jan1 aJian, Xueqiu1 aJohansson, Charlotte1 aJun, Gyungah, R1 aKastumata, Yuriko1 aKauwe, John1 aKehoe, Patrick, G1 aKilander, Lena1 aStåhlbom, Anne, Kinhult1 aKivipelto, Miia1 aKoivisto, Anne1 aKornhuber, Johannes1 aKosmidis, Mary, H1 aKukull, Walter, A1 aKuksa, Pavel, P1 aKunkle, Brian, W1 aKuzma, Amanda, B1 aLage, Carmen1 aLaukka, Erika, J1 aLauner, Lenore1 aLauria, Alessandra1 aLee, Chien-Yueh1 aLehtisalo, Jenni1 aLerch, Ondrej1 aLleo, Alberto1 aLongstreth, William1 aLopez, Oscar1 ade Munain, Adolfo, Lopez1 aLove, Seth1 aLöwemark, Malin1 aLuckcuck, Lauren1 aLunetta, Kathryn, L1 aMa, Yiyi1 aMacías, Juan1 aMacLeod, Catherine, A1 aMaier, Wolfgang1 aMangialasche, Francesca1 aSpallazzi, Marco1 aMarquié, Marta1 aMarshall, Rachel1 aMartin, Eden, R1 aMontes, Angel, Martín1 aRodríguez, Carmen, Martínez1 aMasullo, Carlo1 aMayeux, Richard1 aMead, Simon1 aMecocci, Patrizia1 aMedina, Miguel1 aMeggy, Alun1 aMehrabian, Shima1 aMendoza, Silvia1 aMenéndez-González, Manuel1 aMir, Pablo1 aMoebus, Susanne1 aMol, Merel1 aMolina-Porcel, Laura1 aMontrreal, Laura1 aMorelli, Laura1 aMoreno, Fermin1 aMorgan, Kevin1 aMosley, Thomas1 aNöthen, Markus, M1 aMuchnik, Carolina1 aMukherjee, Shubhabrata1 aNacmias, Benedetta1 aNgandu, Tiia1 aNicolas, Gaël1 aNordestgaard, Børge, G1 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aEADB1 aGR@ACE1 aDEGESCO1 aEADI1 aGERAD1 aDemgene1 aFinnGen1 aADGC1 aCHARGE uhttps://chs-nhlbi.org/node/9035