06109nas a2201525 4500008004100000022001400041245009200055210006900147260001500216300001000231490000700241520179700248100002002045700002002065700002002085700002002105700002002125700001902145700002402164700002202188700002202210700002102232700001802253700002302271700001602294700002302310700002102333700002102354700001602375700001702391700001702408700002502425700002102450700001202471700002602483700002302509700002102532700002102553700001602574700002302590700002802613700001702641700002302658700002002681700002102701700001802722700002302740700002202763700001802785700001902803700002602822700002302848700002102871700002302892700002002915700002502935700002002960700002002980700002203000700002403022700002203046700002003068700002103088700002403109700001903133700002403152700002003176700001803196700002403214700002003238700002603258700002203284700002203306700002403328700002803352700002403380700001703404700002203421700002203443700002103465700002503486700002103511700001203532700001703544700002103561700002103582700001803603700002103621700002103642700001603663700002703679700001903706700002303725700002203748700002203770700002503792700001903817700002803836700002403864700002003888700002103908700002003929700002003949700002103969700002003990700001604010700002404026700002204050700001804072700002404090700001704114700001904131700001904150700002604169700002804195700002104223700001904244700002104263700002204284700002204306700002004328700001804348700002004366700002204386700002304408710003804431710003204469710004604501856003604547 2016 eng d a1537-660500aPlatelet-Related Variants Identified by Exomechip Meta-analysis in 157,293 Individuals.0 aPlateletRelated Variants Identified by Exomechip Metaanalysis in c2016 Jul 7 a40-550 v993 a
Platelet production, maintenance, and clearance are tightly controlled processes indicative of platelets' important roles in hemostasis and thrombosis. Platelets are common targets for primary and secondary prevention of several conditions. They are monitored clinically by complete blood counts, specifically with measurements of platelet count (PLT) and mean platelet volume (MPV). Identifying genetic effects on PLT and MPV can provide mechanistic insights into platelet biology and their role in disease. Therefore, we formed the Blood Cell Consortium (BCX) to perform a large-scale meta-analysis of Exomechip association results for PLT and MPV in 157,293 and 57,617 individuals, respectively. Using the low-frequency/rare coding variant-enriched Exomechip genotyping array, we sought to identify genetic variants associated with PLT and MPV. In addition to confirming 47 known PLT and 20 known MPV associations, we identified 32 PLT and 18 MPV associations not previously observed in the literature across the allele frequency spectrum, including rare large effect (FCER1A), low-frequency (IQGAP2, MAP1A, LY75), and common (ZMIZ2, SMG6, PEAR1, ARFGAP3/PACSIN2) variants. Several variants associated with PLT/MPV (PEAR1, MRVI1, PTGES3) were also associated with platelet reactivity. In concurrent BCX analyses, there was overlap of platelet-associated variants with red (MAP1A, TMPRSS6, ZMIZ2) and white (PEAR1, ZMIZ2, LY75) blood cell traits, suggesting common regulatory pathways with shared genetic architecture among these hematopoietic lineages. Our large-scale Exomechip analyses identified previously undocumented associations with platelet traits and further indicate that several complex quantitative hematological, lipid, and cardiovascular traits share genetic factors.
1 aEicher, John, D1 aChami, Nathalie1 aKacprowski, Tim1 aNomura, Akihiro1 aChen, Ming-Huei1 aYanek, Lisa, R1 aTajuddin, Salman, M1 aSchick, Ursula, M1 aSlater, Andrew, J1 aPankratz, Nathan1 aPolfus, Linda1 aSchurmann, Claudia1 aGiri, Ayush1 aBrody, Jennifer, A1 aLange, Leslie, A1 aManichaikul, Ani1 aHill, David1 aPazoki, Raha1 aElliot, Paul1 aEvangelou, Evangelos1 aTzoulaki, Ioanna1 aGao, He1 aVergnaud, Anne-Claire1 aMathias, Rasika, A1 aBecker, Diane, M1 aBecker, Lewis, C1 aBurt, Amber1 aCrosslin, David, R1 aLyytikäinen, Leo-Pekka1 aNikus, Kjell1 aHernesniemi, Jussi1 aKähönen, Mika1 aRaitoharju, Emma1 aMononen, Nina1 aRaitakari, Olli, T1 aLehtimäki, Terho1 aCushman, Mary1 aZakai, Neil, A1 aNickerson, Deborah, A1 aRaffield, Laura, M1 aQuarells, Rakale1 aWiller, Cristen, J1 aPeloso, Gina, M1 aAbecasis, Goncalo, R1 aLiu, Dajiang, J1 aDeloukas, Panos1 aSamani, Nilesh, J1 aSchunkert, Heribert1 aErdmann, Jeanette1 aFornage, Myriam1 aRichard, Melissa1 aTardif, Jean-Claude1 aRioux, John, D1 aDubé, Marie-Pierre1 ade Denus, Simon1 aLu, Yingchang1 aBottinger, Erwin, P1 aLoos, Ruth, J F1 aSmith, Albert, Vernon1 aHarris, Tamara, B1 aLauner, Lenore, J1 aGudnason, Vilmundur1 aEdwards, Digna, R Velez1 aTorstenson, Eric, S1 aLiu, Yongmei1 aTracy, Russell, P1 aRotter, Jerome, I1 aRich, Stephen, S1 aHighland, Heather, M1 aBoerwinkle, Eric1 aLi, Jin1 aLange, Ethan1 aWilson, James, G1 aMihailov, Evelin1 aMägi, Reedik1 aHirschhorn, Joel1 aMetspalu, Andres1 aEsko, Tõnu1 aVacchi-Suzzi, Caterina1 aNalls, Mike, A1 aZonderman, Alan, B1 aEvans, Michele, K1 aEngström, Gunnar1 aOrho-Melander, Marju1 aMelander, Olle1 aO'Donoghue, Michelle, L1 aWaterworth, Dawn, M1 aWallentin, Lars1 aWhite, Harvey, D1 aFloyd, James, S1 aBartz, Traci, M1 aRice, Kenneth, M1 aPsaty, Bruce, M1 aStarr, J, M1 aLiewald, David, C M1 aHayward, Caroline1 aDeary, Ian, J1 aGreinacher, Andreas1 aVölker, Uwe1 aThiele, Thomas1 aVölzke, Henry1 avan Rooij, Frank, J A1 aUitterlinden, André, G1 aFranco, Oscar, H1 aDehghan, Abbas1 aEdwards, Todd, L1 aGanesh, Santhi, K1 aKathiresan, Sekar1 aFaraday, Nauder1 aAuer, Paul, L1 aReiner, Alex, P1 aLettre, Guillaume1 aJohnson, Andrew, D1 aGlobal Lipids Genetics Consortium1 aCARDIoGRAM Exome Consortium1 aMyocardial Infarction Genetics Consortium uhttps://chs-nhlbi.org/node/713909668nas a2203061 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2017 eng d a1546-171800aExome-wide association study of plasma lipids in >300,000 individuals.0 aExomewide association study of plasma lipids in 300000 individua c2017 Dec a1758-17660 v493 aWe screened variants on an exome-focused genotyping array in >300,000 participants (replication in >280,000 participants) and identified 444 independent variants in 250 loci significantly associated with total cholesterol (TC), high-density-lipoprotein cholesterol (HDL-C), low-density-lipoprotein cholesterol (LDL-C), and/or triglycerides (TG). At two loci (JAK2 and A1CF), experimental analysis in mice showed lipid changes consistent with the human data. We also found that: (i) beta-thalassemia trait carriers displayed lower TC and were protected from coronary artery disease (CAD); (ii) excluding the CETP locus, there was not a predictable relationship between plasma HDL-C and risk for age-related macular degeneration; (iii) only some mechanisms of lowering LDL-C appeared to increase risk for type 2 diabetes (T2D); and (iv) TG-lowering alleles involved in hepatic production of TG-rich lipoproteins (TM6SF2 and PNPLA3) tracked with higher liver fat, higher risk for T2D, and lower risk for CAD, whereas TG-lowering alleles involved in peripheral lipolysis (LPL and ANGPTL4) had no effect on liver fat but decreased risks for both T2D and CAD.
10aCoronary Artery Disease10aDiabetes Mellitus, Type 210aExome10aGenetic Association Studies10aGenetic Predisposition to Disease10aGenetic Variation10aGenotype10aHumans10aLipids10aMacular Degeneration10aPhenotype10aRisk Factors1 aLiu, Dajiang, J1 aPeloso, Gina, M1 aYu, Haojie1 aButterworth, Adam, S1 aWang, Xiao1 aMahajan, Anubha1 aSaleheen, Danish1 aEmdin, Connor1 aAlam, Dewan1 aAlves, Alexessander, Couto1 aAmouyel, Philippe1 aDi Angelantonio, Emanuele1 aArveiler, Dominique1 aAssimes, Themistocles, L1 aAuer, Paul, L1 aBaber, Usman1 aBallantyne, Christie, M1 aBang, Lia, E1 aBenn, Marianne1 aBis, Joshua, C1 aBoehnke, Michael1 aBoerwinkle, Eric1 aBork-Jensen, Jette1 aBottinger, Erwin, P1 aBrandslund, Ivan1 aBrown, Morris1 aBusonero, Fabio1 aCaulfield, Mark, J1 aChambers, John, C1 aChasman, Daniel, I1 aChen, Eugene1 aChen, Yii-Der Ida1 aChowdhury, Raj1 aChristensen, Cramer1 aChu, Audrey, Y1 aConnell, John, M1 aCucca, Francesco1 aCupples, Adrienne, L1 aDamrauer, Scott, M1 aDavies, Gail1 aDeary, Ian, J1 aDedoussis, George1 aDenny, Joshua, C1 aDominiczak, Anna1 aDubé, Marie-Pierre1 aEbeling, Tapani1 aEiriksdottir, Gudny1 aEsko, Tõnu1 aFarmaki, Aliki-Eleni1 aFeitosa, Mary, F1 aFerrario, Marco1 aFerrieres, Jean1 aFord, Ian1 aFornage, Myriam1 aFranks, Paul, W1 aFrayling, Timothy, M1 aFrikke-Schmidt, Ruth1 aFritsche, Lars, G1 aFrossard, Philippe1 aFuster, Valentin1 aGanesh, Santhi, K1 aGao, Wei1 aGarcia, Melissa, E1 aGieger, Christian1 aGiulianini, Franco1 aGoodarzi, Mark, O1 aGrallert, Harald1 aGrarup, Niels1 aGroop, Leif1 aGrove, Megan, L1 aGudnason, Vilmundur1 aHansen, Torben1 aHarris, Tamara, B1 aHayward, Caroline1 aHirschhorn, Joel, N1 aHolmen, Oddgeir, L1 aHuffman, Jennifer1 aHuo, Yong1 aHveem, Kristian1 aJabeen, Sehrish1 aJackson, Anne, U1 aJakobsdottir, Johanna1 aJarvelin, Marjo-Riitta1 aJensen, Gorm, B1 aJørgensen, Marit, E1 aJukema, Wouter1 aJustesen, Johanne, M1 aKamstrup, Pia, R1 aKanoni, Stavroula1 aKarpe, Fredrik1 aKee, Frank1 aKhera, Amit, V1 aKlarin, Derek1 aKoistinen, Heikki, A1 aKooner, Jaspal, S1 aKooperberg, Charles1 aKuulasmaa, Kari1 aKuusisto, Johanna1 aLaakso, Markku1 aLakka, Timo1 aLangenberg, Claudia1 aLangsted, Anne1 aLauner, Lenore, J1 aLauritzen, Torsten1 aLiewald, David, C M1 aLin, Li, An1 aLinneberg, Allan1 aLoos, Ruth, J F1 aLu, Yingchang1 aLu, Xiangfeng1 aMägi, Reedik1 aMälarstig, Anders1 aManichaikul, Ani1 aManning, Alisa, K1 aMäntyselkä, Pekka1 aMarouli, Eirini1 aMasca, Nicholas, G D1 aMaschio, Andrea1 aMeigs, James, B1 aMelander, Olle1 aMetspalu, Andres1 aMorris, Andrew, P1 aMorrison, Alanna, C1 aMulas, Antonella1 aMüller-Nurasyid, Martina1 aMunroe, Patricia, B1 aNeville, Matt, J1 aNielsen, Jonas, B1 aNielsen, Sune, F1 aNordestgaard, Børge, G1 aOrdovas, Jose, M1 aMehran, Roxana1 aO'Donnell, Christoper, J1 aOrho-Melander, Marju1 aMolony, Cliona, M1 aMuntendam, Pieter1 aPadmanabhan, Sandosh1 aPalmer, Colin, N A1 aPasko, Dorota1 aPatel, Aniruddh, P1 aPedersen, Oluf1 aPerola, Markus1 aPeters, Annette1 aPisinger, Charlotta1 aPistis, Giorgio1 aPolasek, Ozren1 aPoulter, Neil1 aPsaty, Bruce, M1 aRader, Daniel, J1 aRasheed, Asif1 aRauramaa, Rainer1 aReilly, Dermot, F1 aReiner, Alex, P1 aRenstrom, Frida1 aRich, Stephen, S1 aRidker, Paul, M1 aRioux, John, D1 aRobertson, Neil, R1 aRoden, Dan, M1 aRotter, Jerome, I1 aRudan, Igor1 aSalomaa, Veikko1 aSamani, Nilesh, J1 aSanna, Serena1 aSattar, Naveed1 aSchmidt, Ellen, M1 aScott, Robert, A1 aSever, Peter1 aSevilla, Raquel, S1 aShaffer, Christian, M1 aSim, Xueling1 aSivapalaratnam, Suthesh1 aSmall, Kerrin, S1 aSmith, Albert, V1 aSmith, Blair, H1 aSomayajula, Sangeetha1 aSoutham, Lorraine1 aSpector, Timothy, D1 aSpeliotes, Elizabeth, K1 aStarr, John, M1 aStirrups, Kathleen, E1 aStitziel, Nathan1 aStrauch, Konstantin1 aStringham, Heather, M1 aSurendran, Praveen1 aTada, Hayato1 aTall, Alan, R1 aTang, Hua1 aTardif, Jean-Claude1 aTaylor, Kent, D1 aTrompet, Stella1 aTsao, Philip, S1 aTuomilehto, Jaakko1 aTybjaerg-Hansen, Anne1 avan Zuydam, Natalie, R1 aVarbo, Anette1 aVarga, Tibor, V1 aVirtamo, Jarmo1 aWaldenberger, Melanie1 aWang, Nan1 aWareham, Nick, J1 aWarren, Helen, R1 aWeeke, Peter, E1 aWeinstock, Joshua1 aWessel, Jennifer1 aWilson, James, G1 aWilson, Peter, W F1 aXu, Ming1 aYaghootkar, Hanieh1 aYoung, Robin1 aZeggini, Eleftheria1 aZhang, He1 aZheng, Neil, S1 aZhang, Weihua1 aZhang, Yan1 aZhou, Wei1 aZhou, Yanhua1 aZoledziewska, Magdalena1 aHowson, Joanna, M M1 aDanesh, John1 aMcCarthy, Mark, I1 aCowan, Chad, A1 aAbecasis, Goncalo1 aDeloukas, Panos1 aMusunuru, Kiran1 aWiller, Cristen, J1 aKathiresan, Sekar1 aCharge Diabetes Working Group1 aEPIC-InterAct Consortium1 aEPIC-CVD Consortium1 aGOLD Consortium1 aVA Million Veteran Program uhttps://chs-nhlbi.org/node/757309584nas a2203049 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2018 eng d a1546-171800aRefining the accuracy of validated target identification through coding variant fine-mapping in type 2 diabetes.0 aRefining the accuracy of validated target identification through c2018 Apr a559-5710 v503 aWe aggregated coding variant data for 81,412 type 2 diabetes cases and 370,832 controls of diverse ancestry, identifying 40 coding variant association signals (P < 2.2 × 10); of these, 16 map outside known risk-associated loci. We make two important observations. First, only five of these signals are driven by low-frequency variants: even for these, effect sizes are modest (odds ratio ≤1.29). Second, when we used large-scale genome-wide association data to fine-map the associated variants in their regional context, accounting for the global enrichment of complex trait associations in coding sequence, compelling evidence for coding variant causality was obtained for only 16 signals. At 13 others, the associated coding variants clearly represent 'false leads' with potential to generate erroneous mechanistic inference. Coding variant associations offer a direct route to biological insight for complex diseases and identification of validated therapeutic targets; however, appropriate mechanistic inference requires careful specification of their causal contribution to disease predisposition.
1 aMahajan, Anubha1 aWessel, Jennifer1 aWillems, Sara, M1 aZhao, Wei1 aRobertson, Neil, R1 aChu, Audrey, Y1 aGan, Wei1 aKitajima, Hidetoshi1 aTaliun, Daniel1 aRayner, William1 aGuo, Xiuqing1 aLu, Yingchang1 aLi, Man1 aJensen, Richard, A1 aHu, Yao1 aHuo, Shaofeng1 aLohman, Kurt, K1 aZhang, Weihua1 aCook, James, P1 aPrins, Bram, Peter1 aFlannick, Jason1 aGrarup, Niels1 aTrubetskoy, Vassily, Vladimirov1 aKravic, Jasmina1 aKim, Young, Jin1 aRybin, Denis, V1 aYaghootkar, Hanieh1 aMüller-Nurasyid, Martina1 aMeidtner, Karina1 aLi-Gao, Ruifang1 aVarga, Tibor, V1 aMarten, Jonathan1 aLi, Jin1 aSmith, Albert, Vernon1 aAn, Ping1 aLigthart, Symen1 aGustafsson, Stefan1 aMalerba, Giovanni1 aDemirkan, Ayse1 aTajes, Juan, Fernandez1 aSteinthorsdottir, Valgerdur1 aWuttke, Matthias1 aLecoeur, Cécile1 aPreuss, Michael1 aBielak, Lawrence, F1 aGraff, Marielisa1 aHighland, Heather, M1 aJustice, Anne, E1 aLiu, Dajiang, J1 aMarouli, Eirini1 aPeloso, Gina, Marie1 aWarren, Helen, R1 aAfaq, Saima1 aAfzal, Shoaib1 aAhlqvist, Emma1 aAlmgren, Peter1 aAmin, Najaf1 aBang, Lia, B1 aBertoni, Alain, G1 aBombieri, Cristina1 aBork-Jensen, Jette1 aBrandslund, Ivan1 aBrody, Jennifer, A1 aBurtt, Noel, P1 aCanouil, Mickaël1 aChen, Yii-Der Ida1 aCho, Yoon Shin1 aChristensen, Cramer1 aEastwood, Sophie, V1 aEckardt, Kai-Uwe1 aFischer, Krista1 aGambaro, Giovanni1 aGiedraitis, Vilmantas1 aGrove, Megan, L1 ade Haan, Hugoline, G1 aHackinger, Sophie1 aHai, Yang1 aHan, Sohee1 aTybjærg-Hansen, Anne1 aHivert, Marie-France1 aIsomaa, Bo1 aJäger, Susanne1 aJørgensen, Marit, E1 aJørgensen, Torben1 aKäräjämäki, AnneMari1 aKim, Bong-Jo1 aKim, Sung, Soo1 aKoistinen, Heikki, A1 aKovacs, Peter1 aKriebel, Jennifer1 aKronenberg, Florian1 aLäll, Kristi1 aLange, Leslie, A1 aLee, Jung-Jin1 aLehne, Benjamin1 aLi, Huaixing1 aLin, Keng-Hung1 aLinneberg, Allan1 aLiu, Ching-Ti1 aLiu, Jun1 aLoh, Marie1 aMägi, Reedik1 aMamakou, Vasiliki1 aMcKean-Cowdin, Roberta1 aNadkarni, Girish1 aNeville, Matt1 aNielsen, Sune, F1 aNtalla, Ioanna1 aPeyser, Patricia, A1 aRathmann, Wolfgang1 aRice, Kenneth1 aRich, Stephen, S1 aRode, Line1 aRolandsson, Olov1 aSchönherr, Sebastian1 aSelvin, Elizabeth1 aSmall, Kerrin, S1 aStančáková, Alena1 aSurendran, Praveen1 aTaylor, Kent, D1 aTeslovich, Tanya, M1 aThorand, Barbara1 aThorleifsson, Gudmar1 aTin, Adrienne1 aTönjes, Anke1 aVarbo, Anette1 aWitte, Daniel, R1 aWood, Andrew, R1 aYajnik, Pranav1 aYao, Jie1 aYengo, Loic1 aYoung, Robin1 aAmouyel, Philippe1 aBoeing, Heiner1 aBoerwinkle, Eric1 aBottinger, Erwin, P1 aChowdhury, Raj1 aCollins, Francis, S1 aDedoussis, George1 aDehghan, Abbas1 aDeloukas, Panos1 aFerrario, Marco, M1 aFerrieres, Jean1 aFlorez, Jose, C1 aFrossard, Philippe1 aGudnason, Vilmundur1 aHarris, Tamara, B1 aHeckbert, Susan, R1 aHowson, Joanna, M M1 aIngelsson, Martin1 aKathiresan, Sekar1 aKee, Frank1 aKuusisto, Johanna1 aLangenberg, Claudia1 aLauner, Lenore, J1 aLindgren, Cecilia, M1 aMännistö, Satu1 aMeitinger, Thomas1 aMelander, Olle1 aMohlke, Karen, L1 aMoitry, Marie1 aMorris, Andrew, D1 aMurray, Alison, D1 ade Mutsert, Renée1 aOrho-Melander, Marju1 aOwen, Katharine, R1 aPerola, Markus1 aPeters, Annette1 aProvince, Michael, A1 aRasheed, Asif1 aRidker, Paul, M1 aRivadineira, Fernando1 aRosendaal, Frits, R1 aRosengren, Anders, H1 aSalomaa, Veikko1 aSheu, Wayne, H-H1 aSladek, Rob1 aSmith, Blair, H1 aStrauch, Konstantin1 aUitterlinden, André, G1 aVarma, Rohit1 aWiller, Cristen, J1 aBlüher, Matthias1 aButterworth, Adam, S1 aChambers, John, Campbell1 aChasman, Daniel, I1 aDanesh, John1 aDuijn, Cornelia1 aDupuis, Josée1 aFranco, Oscar, H1 aFranks, Paul, W1 aFroguel, Philippe1 aGrallert, Harald1 aGroop, Leif1 aHan, Bok-Ghee1 aHansen, Torben1 aHattersley, Andrew, T1 aHayward, Caroline1 aIngelsson, Erik1 aKardia, Sharon, L R1 aKarpe, Fredrik1 aKooner, Jaspal, Singh1 aKöttgen, Anna1 aKuulasmaa, Kari1 aLaakso, Markku1 aLin, Xu1 aLind, Lars1 aLiu, Yongmei1 aLoos, Ruth, J F1 aMarchini, Jonathan1 aMetspalu, Andres1 aMook-Kanamori, Dennis1 aNordestgaard, Børge, G1 aPalmer, Colin, N A1 aPankow, James, S1 aPedersen, Oluf1 aPsaty, Bruce, M1 aRauramaa, Rainer1 aSattar, Naveed1 aSchulze, Matthias, B1 aSoranzo, Nicole1 aSpector, Timothy, D1 aStefansson, Kari1 aStumvoll, Michael1 aThorsteinsdottir, Unnur1 aTuomi, Tiinamaija1 aTuomilehto, Jaakko1 aWareham, Nicholas, J1 aWilson, James, G1 aZeggini, Eleftheria1 aScott, Robert, A1 aBarroso, Inês1 aFrayling, Timothy, M1 aGoodarzi, Mark, O1 aMeigs, James, B1 aBoehnke, Michael1 aSaleheen, Danish1 aMorris, Andrew, P1 aRotter, Jerome, I1 aMcCarthy, Mark, I1 aExomeBP Consortium1 aMAGIC Consortium1 aGIANT Consortium uhttps://chs-nhlbi.org/node/766808881nas a2202605 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2022 eng d a1537-660500aRare coding variants in 35 genes associate with circulating lipid levels-A multi-ancestry analysis of 170,000 exomes.0 aRare coding variants in 35 genes associate with circulating lipi c2022 01 06 a81-960 v1093 aLarge-scale gene sequencing studies for complex traits have the potential to identify causal genes with therapeutic implications. We performed gene-based association testing of blood lipid levels with rare (minor allele frequency < 1%) predicted damaging coding variation by using sequence data from >170,000 individuals from multiple ancestries: 97,493 European, 30,025 South Asian, 16,507 African, 16,440 Hispanic/Latino, 10,420 East Asian, and 1,182 Samoan. We identified 35 genes associated with circulating lipid levels; some of these genes have not been previously associated with lipid levels when using rare coding variation from population-based samples. We prioritize 32 genes in array-based genome-wide association study (GWAS) loci based on aggregations of rare coding variants; three (EVI5, SH2B3, and PLIN1) had no prior association of rare coding variants with lipid levels. Most of our associated genes showed evidence of association among multiple ancestries. Finally, we observed an enrichment of gene-based associations for low-density lipoprotein cholesterol drug target genes and for genes closest to GWAS index single-nucleotide polymorphisms (SNPs). Our results demonstrate that gene-based associations can be beneficial for drug target development and provide evidence that the gene closest to the array-based GWAS index SNP is often the functional gene for blood lipid levels.
10aAlleles10aBlood Glucose10aCase-Control Studies10aComputational Biology10aDatabases, Genetic10aDiabetes Mellitus, Type 210aExome10aGenetic Predisposition to Disease10aGenetic Variation10aGenetics, Population10aGenome-Wide Association Study10aHumans10aLipid Metabolism10aLipids10aLiver10aMolecular Sequence Annotation10aMultifactorial Inheritance10aOpen Reading Frames10aPhenotype10aPolymorphism, Single Nucleotide1 aHindy, George1 aDornbos, Peter1 aChaffin, Mark, D1 aLiu, Dajiang, J1 aWang, Minxian1 aSelvaraj, Margaret, Sunitha1 aZhang, David1 aPark, Joseph1 aAguilar-Salinas, Carlos, A1 aAntonacci-Fulton, Lucinda1 aArdissino, Diego1 aArnett, Donna, K1 aAslibekyan, Stella1 aAtzmon, Gil1 aBallantyne, Christie, M1 aBarajas-Olmos, Francisco1 aBarzilai, Nir1 aBecker, Lewis, C1 aBielak, Lawrence, F1 aBis, Joshua, C1 aBlangero, John1 aBoerwinkle, Eric1 aBonnycastle, Lori, L1 aBottinger, Erwin1 aBowden, Donald, W1 aBown, Matthew, J1 aBrody, Jennifer, A1 aBroome, Jai, G1 aBurtt, Noel, P1 aCade, Brian, E1 aCenteno-Cruz, Federico1 aChan, Edmund1 aChang, Yi-Cheng1 aChen, Yii-der, I1 aCheng, Ching-Yu1 aChoi, Won, Jung1 aChowdhury, Raj1 aContreras-Cubas, Cecilia1 aCórdova, Emilio, J1 aCorrea, Adolfo1 aCupples, Adrienne, L1 aCurran, Joanne, E1 aDanesh, John1 ade Vries, Paul, S1 aDeFronzo, Ralph, A1 aDoddapaneni, Harsha1 aDuggirala, Ravindranath1 aDutcher, Susan, K1 aEllinor, Patrick, T1 aEmery, Leslie, S1 aFlorez, Jose, C1 aFornage, Myriam1 aFreedman, Barry, I1 aFuster, Valentin1 aGaray-Sevilla, Ma, Eugenia1 aGarcía-Ortiz, Humberto1 aGermer, Soren1 aGibbs, Richard, A1 aGieger, Christian1 aGlaser, Benjamin1 aGonzalez, Clicerio1 aGonzalez-Villalpando, Maria, Elena1 aGraff, Mariaelisa1 aGraham, Sarah, E1 aGrarup, Niels1 aGroop, Leif, C1 aGuo, Xiuqing1 aGupta, Namrata1 aHan, Sohee1 aHanis, Craig, L1 aHansen, Torben1 aHe, Jiang1 aHeard-Costa, Nancy, L1 aHung, Yi-Jen1 aHwang, Mi, Yeong1 aIrvin, Marguerite, R1 aIslas-Andrade, Sergio1 aJarvik, Gail, P1 aKang, Hyun, Min1 aKardia, Sharon, L R1 aKelly, Tanika1 aKenny, Eimear, E1 aKhan, Alyna, T1 aKim, Bong-Jo1 aKim, Ryan, W1 aKim, Young, Jin1 aKoistinen, Heikki, A1 aKooperberg, Charles1 aKuusisto, Johanna1 aKwak, Soo, Heon1 aLaakso, Markku1 aLange, Leslie, A1 aLee, Jiwon1 aLee, Juyoung1 aLee, Seonwook1 aLehman, Donna, M1 aLemaitre, Rozenn, N1 aLinneberg, Allan1 aLiu, Jianjun1 aLoos, Ruth, J F1 aLubitz, Steven, A1 aLyssenko, Valeriya1 aMa, Ronald, C W1 aMartin, Lisa, Warsinger1 aMartínez-Hernández, Angélica1 aMathias, Rasika, A1 aMcGarvey, Stephen, T1 aMcPherson, Ruth1 aMeigs, James, B1 aMeitinger, Thomas1 aMelander, Olle1 aMendoza-Caamal, Elvia1 aMetcalf, Ginger, A1 aMi, Xuenan1 aMohlke, Karen, L1 aMontasser, May, E1 aMoon, Jee-Young1 aMoreno-Macias, Hortensia1 aMorrison, Alanna, C1 aMuzny, Donna, M1 aNelson, Sarah, C1 aNilsson, Peter, M1 aO'Connell, Jeffrey, R1 aOrho-Melander, Marju1 aOrozco, Lorena1 aPalmer, Colin, N A1 aPalmer, Nicholette, D1 aPark, Cheol, Joo1 aPark, Kyong, Soo1 aPedersen, Oluf1 aPeralta, Juan, M1 aPeyser, Patricia, A1 aPost, Wendy, S1 aPreuss, Michael1 aPsaty, Bruce, M1 aQi, Qibin1 aRao, D, C1 aRedline, Susan1 aReiner, Alexander, P1 aRevilla-Monsalve, Cristina1 aRich, Stephen, S1 aSamani, Nilesh1 aSchunkert, Heribert1 aSchurmann, Claudia1 aSeo, Daekwan1 aSeo, Jeong-Sun1 aSim, Xueling1 aSladek, Rob1 aSmall, Kerrin, S1 aSo, Wing, Yee1 aStilp, Adrienne, M1 aTai, Shyong, E1 aTam, Claudia, H T1 aTaylor, Kent, D1 aTeo, Yik, Ying1 aThameem, Farook1 aTomlinson, Brian1 aTsai, Michael, Y1 aTuomi, Tiinamaija1 aTuomilehto, Jaakko1 aTusié-Luna, Teresa1 aUdler, Miriam, S1 avan Dam, Rob, M1 aVasan, Ramachandran, S1 aMartinez, Karine, A Viaud1 aWang, Fei, Fei1 aWang, Xuzhi1 aWatkins, Hugh1 aWeeks, Daniel, E1 aWilson, James, G1 aWitte, Daniel, R1 aWong, Tien-Yin1 aYanek, Lisa, R1 aKathiresan, Sekar1 aRader, Daniel, J1 aRotter, Jerome, I1 aBoehnke, Michael1 aMcCarthy, Mark, I1 aWiller, Cristen, J1 aNatarajan, Pradeep1 aFlannick, Jason, A1 aKhera, Amit, V1 aPeloso, Gina, M1 aAMP-T2D-GENES, Myocardial Infarction Genetics Consortium1 aNHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium1 aNHLBI TOPMed Lipids Working Group uhttps://chs-nhlbi.org/node/897504507nas a2201189 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2022 eng d a2397-337400aRare genetic variants explain missing heritability in smoking.0 aRare genetic variants explain missing heritability in smoking c2022 Aug 043 aCommon genetic variants explain less variation in complex phenotypes than inferred from family-based studies, and there is a debate on the source of this 'missing heritability'. We investigated the contribution of rare genetic variants to tobacco use with whole-genome sequences from up to 26,257 unrelated individuals of European ancestries and 11,743 individuals of African ancestries. Across four smoking traits, single-nucleotide-polymorphism-based heritability ([Formula: see text]) was estimated from 0.13 to 0.28 (s.e., 0.10-0.13) in European ancestries, with 35-74% of it attributable to rare variants with minor allele frequencies between 0.01% and 1%. These heritability estimates are 1.5-4 times higher than past estimates based on common variants alone and accounted for 60% to 100% of our pedigree-based estimates of narrow-sense heritability ([Formula: see text], 0.18-0.34). In the African ancestry samples, [Formula: see text] was estimated from 0.03 to 0.33 (s.e., 0.09-0.14) across the four smoking traits. These results suggest that rare variants are important contributors to the heritability of smoking.
1 aJang, Seon-Kyeong1 aEvans, Luke1 aFialkowski, Allison1 aArnett, Donna, K1 aAshley-Koch, Allison, E1 aBarnes, Kathleen, C1 aBecker, Diane, M1 aBis, Joshua, C1 aBlangero, John1 aBleecker, Eugene, R1 aBoorgula, Meher, Preethi1 aBowden, Donald, W1 aBrody, Jennifer, A1 aCade, Brian, E1 aJenkins, Brenda, W Campbell1 aCarson, April, P1 aChavan, Sameer1 aCupples, Adrienne, L1 aCuster, Brian1 aDamrauer, Scott, M1 aDavid, Sean, P1 ade Andrade, Mariza1 aDinardo, Carla, L1 aFingerlin, Tasha, E1 aFornage, Myriam1 aFreedman, Barry, I1 aGarrett, Melanie, E1 aGharib, Sina, A1 aGlahn, David, C1 aHaessler, Jeffrey1 aHeckbert, Susan, R1 aHokanson, John, E1 aHou, Lifang1 aHwang, Shih-Jen1 aHyman, Matthew, C1 aJudy, Renae1 aJustice, Anne, E1 aKaplan, Robert, C1 aKardia, Sharon, L R1 aKelly, Shannon1 aKim, Wonji1 aKooperberg, Charles1 aLevy, Daniel1 aLloyd-Jones, Donald, M1 aLoos, Ruth, J F1 aManichaikul, Ani, W1 aGladwin, Mark, T1 aMartin, Lisa, Warsinger1 aNouraie, Mehdi1 aMelander, Olle1 aMeyers, Deborah, A1 aMontgomery, Courtney, G1 aNorth, Kari, E1 aOelsner, Elizabeth, C1 aPalmer, Nicholette, D1 aPayton, Marinelle1 aPeljto, Anna, L1 aPeyser, Patricia, A1 aPreuss, Michael1 aPsaty, Bruce, M1 aQiao, Dandi1 aRader, Daniel, J1 aRafaels, Nicholas1 aRedline, Susan1 aReed, Robert, M1 aReiner, Alexander, P1 aRich, Stephen, S1 aRotter, Jerome, I1 aSchwartz, David, A1 aShadyab, Aladdin, H1 aSilverman, Edwin, K1 aSmith, Nicholas, L1 aSmith, Gustav1 aSmith, Albert, V1 aSmith, Jennifer, A1 aTang, Weihong1 aTaylor, Kent, D1 aTelen, Marilyn, J1 aVasan, Ramachandran, S1 aGordeuk, Victor, R1 aWang, Zhe1 aWiggins, Kerri, L1 aYanek, Lisa, R1 aYang, Ivana, V1 aYoung, Kendra, A1 aYoung, Kristin, L1 aZhang, Yingze1 aLiu, Dajiang, J1 aKeller, Matthew, C1 aVrieze, Scott uhttps://chs-nhlbi.org/node/916804817nas a2201309 4500008004100000022001400041245012100055210006900176260001300245300001200258490000700270520111100277653001201388653002301400653003801423653003401461653001101495653003601506653001601542653001801558100001501576700001801591700002201609700002001631700002501651700003001676700001501706700002101721700002501742700002801767700002101795700002801816700002401844700001701868700002101885700002401906700001901930700001901949700002901968700002301997700001902020700002102039700002102060700001902081700002202100700001902122700002602141700001702167700002802184700002102212700002402233700002002257700001702277700002102294700002202315700001402337700002002351700002202371700002002393700002002413700002002433700002502453700002102478700002102499700001902520700002402539700002102563700002102584700002202605700002402627700001402651700001702665700002002682700002402702700002002726700001702746700002502763700002102788700001802809700002202827700001702849700001902866700002602885700002102911700002402932700002002956700002202976700002302998700003403021700002103055700002203076700002303098700002403121700002103145700001603166700002303182700001403205700002003219700002203239700001903261700002103280700001903301700001903320700002103339700002203360700001403382700002103396700001603417700001803433700002003451856003603471 2023 eng d a1546-171800aMulti-ancestry transcriptome-wide association analyses yield insights into tobacco use biology and drug repurposing.0 aMultiancestry transcriptomewide association analyses yield insig c2023 Feb a291-3000 v553 aMost transcriptome-wide association studies (TWASs) so far focus on European ancestry and lack diversity. To overcome this limitation, we aggregated genome-wide association study (GWAS) summary statistics, whole-genome sequences and expression quantitative trait locus (eQTL) data from diverse ancestries. We developed a new approach, TESLA (multi-ancestry integrative study using an optimal linear combination of association statistics), to integrate an eQTL dataset with a multi-ancestry GWAS. By exploiting shared phenotypic effects between ancestries and accommodating potential effect heterogeneities, TESLA improves power over other TWAS methods. When applied to tobacco use phenotypes, TESLA identified 273 new genes, up to 55% more compared with alternative TWAS methods. These hits and subsequent fine mapping using TESLA point to target genes with biological relevance. In silico drug-repurposing analyses highlight several drugs with known efficacy, including dextromethorphan and galantamine, and new drugs such as muscle relaxants that may be repurposed for treating nicotine addiction.
10aBiology10aDrug Repositioning10aGenetic Predisposition to Disease10aGenome-Wide Association Study10aHumans10aPolymorphism, Single Nucleotide10aTobacco Use10aTranscriptome1 aChen, Fang1 aWang, Xingyan1 aJang, Seon-Kyeong1 aQuach, Bryan, C1 aWeissenkampen, Dylan1 aKhunsriraksakul, Chachrit1 aYang, Lina1 aSauteraud, Renan1 aAlbert, Christine, M1 aAllred, Nicholette, D D1 aArnett, Donna, K1 aAshley-Koch, Allison, E1 aBarnes, Kathleen, C1 aBarr, Graham1 aBecker, Diane, M1 aBielak, Lawrence, F1 aBis, Joshua, C1 aBlangero, John1 aBoorgula, Meher, Preethi1 aChasman, Daniel, I1 aChavan, Sameer1 aChen, Yii-der, I1 aChuang, Lee-Ming1 aCorrea, Adolfo1 aCurran, Joanne, E1 aDavid, Sean, P1 aFuentes, Lisa, de Las1 aDeka, Ranjan1 aDuggirala, Ravindranath1 aFaul, Jessica, D1 aGarrett, Melanie, E1 aGharib, Sina, A1 aGuo, Xiuqing1 aHall, Michael, E1 aHawley, Nicola, L1 aHe, Jiang1 aHobbs, Brian, D1 aHokanson, John, E1 aHsiung, Chao, A1 aHwang, Shih-Jen1 aHyde, Thomas, M1 aIrvin, Marguerite, R1 aJaffe, Andrew, E1 aJohnson, Eric, O1 aKaplan, Robert1 aKardia, Sharon, L R1 aKaufman, Joel, D1 aKelly, Tanika, N1 aKleinman, Joel, E1 aKooperberg, Charles1 aLee, I-Te1 aLevy, Daniel1 aLutz, Sharon, M1 aManichaikul, Ani, W1 aMartin, Lisa, W1 aMarx, Olivia1 aMcGarvey, Stephen, T1 aMinster, Ryan, L1 aMoll, Matthew1 aMoussa, Karine, A1 aNaseri, Take1 aNorth, Kari, E1 aOelsner, Elizabeth, C1 aPeralta, Juan, M1 aPeyser, Patricia, A1 aPsaty, Bruce, M1 aRafaels, Nicholas1 aRaffield, Laura, M1 aReupena, Muagututi'a, Sefuiva1 aRich, Stephen, S1 aRotter, Jerome, I1 aSchwartz, David, A1 aShadyab, Aladdin, H1 aSheu, Wayne, H-H1 aSims, Mario1 aSmith, Jennifer, A1 aSun, Xiao1 aTaylor, Kent, D1 aTelen, Marilyn, J1 aWatson, Harold1 aWeeks, Daniel, E1 aWeir, David, R1 aYanek, Lisa, R1 aYoung, Kendra, A1 aYoung, Kristin, L1 aZhao, Wei1 aHancock, Dana, B1 aJiang, Bibo1 aVrieze, Scott1 aLiu, Dajiang, J uhttps://chs-nhlbi.org/node/9412