04458nas a2200937 4500008004100000022001400041245009600055210006900151260001300220300001200233490000700245520181500252100002102067700002002088700001902108700001602127700001802143700002002161700002302181700002102204700002602225700001702251700002102268700002202289700001702311700002402328700002102352700002102373700002302394700002202417700001202439700001902451700002102470700002202491700002402513700002002537700002102557700002302578700002702601700002402628700001902652700001902671700002002690700001902710700002202729700001702751700001702768700002602785700002202811700002802833700001902861700002102880700002302901700002802924700001702952700001902969700001902988700002003007700001403027700002403041700002103065700002203086700002403108700001803132700002003150700002203170700002403192700001903216700002803235700002003263700002003283700002403303700002603327700001803353700002503371700002003396700002303416700002103439700002403460856003603484 2016 eng d a1474-972600aGWAS analysis of handgrip and lower body strength in older adults in the CHARGE consortium.0 aGWAS analysis of handgrip and lower body strength in older adult c2016 Oct a792-8000 v153 a
Decline in muscle strength with aging is an important predictor of health trajectory in the elderly. Several factors, including genetics, are proposed contributors to variability in muscle strength. To identify genetic contributors to muscle strength, a meta-analysis of genomewide association studies of handgrip was conducted. Grip strength was measured using a handheld dynamometer in 27 581 individuals of European descent over 65 years of age from 14 cohort studies. Genomewide association analysis was conducted on ~2.7 million imputed and genotyped variants (SNPs). Replication of the most significant findings was conducted using data from 6393 individuals from three cohorts. GWAS of lower body strength was also characterized in a subset of cohorts. Two genomewide significant (P-value< 5 × 10(-8) ) and 39 suggestive (P-value< 5 × 10(-5) ) associations were observed from meta-analysis of the discovery cohorts. After meta-analysis with replication cohorts, genomewide significant association was observed for rs752045 on chromosome 8 (β = 0.47, SE = 0.08, P-value = 5.20 × 10(-10) ). This SNP is mapped to an intergenic region and is located within an accessible chromatin region (DNase hypersensitivity site) in skeletal muscle myotubes differentiated from the human skeletal muscle myoblasts cell line. This locus alters a binding motif of the CCAAT/enhancer-binding protein-β (CEBPB) that is implicated in muscle repair mechanisms. GWAS of lower body strength did not yield significant results. A common genetic variant in a chromosomal region that regulates myotube differentiation and muscle repair may contribute to variability in grip strength in the elderly. Further studies are needed to uncover the mechanisms that link this genetic variant with muscle strength.
1 aMatteini, Amy, M1 aTanaka, Toshiko1 aKarasik, David1 aAtzmon, Gil1 aChou, Wen-Chi1 aEicher, John, D1 aJohnson, Andrew, D1 aArnold, Alice, M1 aCallisaya, Michele, L1 aDavies, Gail1 aEvans, Daniel, S1 aHoltfreter, Birte1 aLohman, Kurt1 aLunetta, Kathryn, L1 aMangino, Massimo1 aSmith, Albert, V1 aSmith, Jennifer, A1 aTeumer, Alexander1 aYu, Lei1 aArking, Dan, E1 aBuchman, Aron, S1 aChibinik, Lori, B1 aDe Jager, Philip, L1 aEvans, Denis, A1 aFaul, Jessica, D1 aGarcia, Melissa, E1 aGillham-Nasenya, Irina1 aGudnason, Vilmundur1 aHofman, Albert1 aHsu, Yi-Hsiang1 aIttermann, Till1 aLahousse, Lies1 aLiewald, David, C1 aLiu, Yongmei1 aLopez, Lorna1 aRivadeneira, Fernando1 aRotter, Jerome, I1 aSiggeirsdottir, Kristin1 aStarr, John, M1 aThomson, Russell1 aTranah, Gregory, J1 aUitterlinden, André, G1 aVölker, Uwe1 aVölzke, Henry1 aWeir, David, R1 aYaffe, Kristine1 aZhao, Wei1 aZhuang, Wei, Vivian1 aZmuda, Joseph, M1 aBennett, David, A1 aCummings, Steven, R1 aDeary, Ian, J1 aFerrucci, Luigi1 aHarris, Tamara, B1 aKardia, Sharon, L R1 aKocher, Thomas1 aKritchevsky, Stephen, B1 aPsaty, Bruce, M1 aSeshadri, Sudha1 aSpector, Timothy, D1 aSrikanth, Velandai, K1 aWindham, Gwen1 aZillikens, Carola, M1 aNewman, Anne, B1 aWalston, Jeremy, D1 aKiel, Douglas, P1 aMurabito, Joanne, M uhttps://chs-nhlbi.org/node/714202995nas a2200385 4500008004100000022001400041245024500055210006900300260001600369520171800385100001902103700001202122700001802134700002302152700001902175700001802194700002302212700002702235700001702262700001902279700001802298700002202316700001702338700002202355700001902377700002602396700001902422700002402441700002402465700002002489700002102509700002202530700002102552856003602573 2016 eng d a1460-208300aTargeted Sequencing of Genome Wide Significant Loci Associated with Bone Mineral Density (BMD) Reveals Significant Novel and Rare Variants: The Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Targeted Sequencing Study.0 aTargeted Sequencing of Genome Wide Significant Loci Associated w c2016 Sep 113 aBACKGROUND: Bone mineral density (BMD) is a heritable phenotype that predicts fracture risk. We performed fine-mapping by targeted sequencing at WLS, MEF2C, ARHGAP1/F2 and JAG1 loci prioritized by eQTL and bioinformatic approaches among 56 BMD loci from our previous GWAS meta-analysis.
METHODS AND RESULTS: Targeted sequencing was conducted in 1,291 Caucasians from the Framingham Heart Study (n=925) and Cardiovascular Health Study (n=366), including 206 women and men with extreme low femoral neck (FN) BMD. A total of 4,964 sequence variants (SNVs) were observed and 80% were rare with MAF <1%. The associations between previously identified SNPs in these loci and BMD, while nominally significant in sequenced participants, were no longer significant after multiple testing corrections. Conditional analyses did not find protein-coding variants that may be responsible for GWAS signals. On the other hand, in the sequenced subjects, we identified novel associations in WLS, ARHGAP1, and 5' of MEF2C (p-values < 8x10(-5); false discovery rate (FDR) q-values < 0.01) that were much more strongly associated with BMD compared to the GWAS SNPs. These associated SNVs are less-common; independent from previous GWAS signals in the same loci; and located in gene regulatory elements.
CONCLUSIONS: Our findings suggest that protein-coding variants in selected GWAS loci did not contribute to GWAS signals. By performing targeted sequencing in GWAS loci, we identified less-common and rare non-coding SNVs associated with BMD independently from GWAS common SNPs, suggesting both common and less-common variants may associate with disease risks and phenotypes in the same loci.
1 aHsu, Yi-Hsiang1 aLi, Guo1 aLiu, Ching-Ti1 aBrody, Jennifer, A1 aKarasik, David1 aChou, Wen-Chi1 aDemissie, Serkalem1 aNandakumar, Kannabiran1 aZhou, Yanhua1 aCheng, Chia-Ho1 aGill, Richard1 aGibbs, Richard, A1 aMuzny, Donna1 aSantibanez, Jireh1 aEstrada, Karol1 aRivadeneira, Fernando1 aHarris, Tamara1 aGudnason, Vilmundur1 aUitterlinden, Andre1 aPsaty, Bruce, M1 aRobbins, John, A1 aCupples, Adrienne1 aKiel, Douglas, P uhttps://chs-nhlbi.org/node/724608180nas a2202449 4500008004100000022001400041245010000055210006900155260001600224300000700240490000600247520139100253100002501644700002301669700001901692700003101711700001801742700001901760700002201779700001701801700001801818700002201836700002101858700001801879700001601897700002001913700002101933700002501954700002401979700002002003700001802023700001802041700002302059700001602082700002102098700001902119700002202138700001802160700001902178700002102197700002102218700002302239700002102262700001802283700002002301700002802321700002002349700002202369700002102391700001502412700001602427700002102443700002502464700002102489700002402510700002402534700001702558700003502575700002102610700002402631700002102655700001602676700002302692700001902715700001902734700002102753700002102774700001202795700002002807700002202827700001802849700002202867700002102889700001902910700001802929700002202947700002202969700001902991700002103010700001803031700001903049700002103068700001803089700002003107700002003127700001803147700002003165700002003185700002303205700002203228700001603250700002103266700001803287700002803305700001803333700002703351700002503378700002203403700002503425700002103450700002203471700001903493700001603512700001703528700002303545700002203568700002003590700002103610700002103631700001503652700002203667700001703689700001403706700001703720700002103737700002303758700002103781700002103802700002303823700002803846700002203874700001903896700002003915700001703935700002303952700002503975700002204000700002004022700001704042700002304059700002604082700001904108700002004127700001904147700002504166700001904191700001904210700002004229700001904249700002304268700002304291700002304314700002004337700002104357700002204378700001604400700002004416700002504436700002004461700001904481700001704500700001704517700001504534700002004549700002304569700001604592700002004608700002504628700003504653700002704688700002604715700002204741700002004763700002504783700002304808700002404831700002804855700001904883700002304902700002304925700002704948700001704975700002404992700001905016700002605035700001705061700002305078700001605101700002205117700002105139700002705160700002105187700002205208700001605230700001205246700001705258700002205275700002005297700002305317700002205340700002405362700002205386700002005408700002405428700002105452700002605473700002805499700002505527700002005552700002105572700002005593700001905613700002205632700001905654700002105673856003605694 2017 eng d a2041-172300aLarge meta-analysis of genome-wide association studies identifies five loci for lean body mass.0 aLarge metaanalysis of genomewide association studies identifies c2017 Jul 19 a800 v83 aLean body mass, consisting mostly of skeletal muscle, is important for healthy aging. We performed a genome-wide association study for whole body (20 cohorts of European ancestry with n = 38,292) and appendicular (arms and legs) lean body mass (n = 28,330) measured using dual energy X-ray absorptiometry or bioelectrical impedance analysis, adjusted for sex, age, height, and fat mass. Twenty-one single-nucleotide polymorphisms were significantly associated with lean body mass either genome wide (p < 5 × 10-8) or suggestively genome wide (p < 2.3 × 10-6). Replication in 63,475 (47,227 of European ancestry) individuals from 33 cohorts for whole body lean body mass and in 45,090 (42,360 of European ancestry) subjects from 25 cohorts for appendicular lean body mass was successful for five single-nucleotide polymorphisms in/near HSD17B11, VCAN, ADAMTSL3, IRS1, and FTO for total lean body mass and for three single-nucleotide polymorphisms in/near VCAN, ADAMTSL3, and IRS1 for appendicular lean body mass. Our findings provide new insight into the genetics of lean body mass.Lean body mass is a highly heritable trait and is associated with various health conditions. Here, Kiel and colleagues perform a meta-analysis of genome-wide association studies for whole body lean body mass and find five novel genetic loci to be significantly associated.
1 aZillikens, Carola, M1 aDemissie, Serkalem1 aHsu, Yi-Hsiang1 aYerges-Armstrong, Laura, M1 aChou, Wen-Chi1 aStolk, Lisette1 aLivshits, Gregory1 aBroer, Linda1 aJohnson, Toby1 aKoller, Daniel, L1 aKutalik, Zoltán1 aLuan, Jian'an1 aMalkin, Ida1 aRied, Janina, S1 aSmith, Albert, V1 aThorleifsson, Gudmar1 aVandenput, Liesbeth1 aZhao, Jing, Hua1 aZhang, Weihua1 aAghdassi, Ali1 aÅkesson, Kristina1 aAmin, Najaf1 aBaier, Leslie, J1 aBarroso, Inês1 aBennett, David, A1 aBertram, Lars1 aBiffar, Rainer1 aBochud, Murielle1 aBoehnke, Michael1 aBorecki, Ingrid, B1 aBuchman, Aron, S1 aByberg, Liisa1 aCampbell, Harry1 aObanda, Natalia, Campos1 aCauley, Jane, A1 aCawthon, Peggy, M1 aCederberg, Henna1 aChen, Zhao1 aCho, Nam, H1 aChoi, Hyung, Jin1 aClaussnitzer, Melina1 aCollins, Francis1 aCummings, Steven, R1 aDe Jager, Philip, L1 aDemuth, Ilja1 aDhonukshe-Rutten, Rosalie, A M1 aDiatchenko, Luda1 aEiriksdottir, Gudny1 aEnneman, Anke, W1 aErdos, Mike1 aEriksson, Johan, G1 aEriksson, Joel1 aEstrada, Karol1 aEvans, Daniel, S1 aFeitosa, Mary, F1 aFu, Mao1 aGarcia, Melissa1 aGieger, Christian1 aGirke, Thomas1 aGlazer, Nicole, L1 aGrallert, Harald1 aGrewal, Jagvir1 aHan, Bok-Ghee1 aHanson, Robert, L1 aHayward, Caroline1 aHofman, Albert1 aHoffman, Eric, P1 aHomuth, Georg1 aHsueh, Wen-Chi1 aHubal, Monica, J1 aHubbard, Alan1 aHuffman, Kim, M1 aHusted, Lise, B1 aIllig, Thomas1 aIngelsson, Erik1 aIttermann, Till1 aJansson, John-Olov1 aJordan, Joanne, M1 aJula, Antti1 aKarlsson, Magnus1 aKhaw, Kay-Tee1 aKilpeläinen, Tuomas, O1 aKlopp, Norman1 aKloth, Jacqueline, S L1 aKoistinen, Heikki, A1 aKraus, William, E1 aKritchevsky, Stephen1 aKuulasmaa, Teemu1 aKuusisto, Johanna1 aLaakso, Markku1 aLahti, Jari1 aLang, Thomas1 aLangdahl, Bente, L1 aLauner, Lenore, J1 aLee, Jong-Young1 aLerch, Markus, M1 aLewis, Joshua, R1 aLind, Lars1 aLindgren, Cecilia1 aLiu, Yongmei1 aLiu, Tian1 aLiu, Youfang1 aLjunggren, Osten1 aLorentzon, Mattias1 aLuben, Robert, N1 aMaixner, William1 aMcGuigan, Fiona, E1 aMedina-Gómez, Carolina1 aMeitinger, Thomas1 aMelhus, Håkan1 aMellström, Dan1 aMelov, Simon1 aMichaëlsson, Karl1 aMitchell, Braxton, D1 aMorris, Andrew, P1 aMosekilde, Leif1 aNewman, Anne1 aNielson, Carrie, M1 aO'Connell, Jeffrey, R1 aOostra, Ben, A1 aOrwoll, Eric, S1 aPalotie, Aarno1 aParker, Stephen, C J1 aPeacock, Munro1 aPerola, Markus1 aPeters, Annette1 aPolasek, Ozren1 aPrince, Richard, L1 aRäikkönen, Katri1 aRalston, Stuart, H1 aRipatti, Samuli1 aRobbins, John, A1 aRotter, Jerome, I1 aRudan, Igor1 aSalomaa, Veikko1 aSatterfield, Suzanne1 aSchadt, Eric, E1 aSchipf, Sabine1 aScott, Laura1 aSehmi, Joban1 aShen, Jian1 aShin, Chan, Soo1 aSigurdsson, Gunnar1 aSmith, Shad1 aSoranzo, Nicole1 aStančáková, Alena1 aSteinhagen-Thiessen, Elisabeth1 aStreeten, Elizabeth, A1 aStyrkarsdottir, Unnur1 aSwart, Karin, M A1 aTan, Sian-Tsung1 aTarnopolsky, Mark, A1 aThompson, Patricia1 aThomson, Cynthia, A1 aThorsteinsdottir, Unnur1 aTikkanen, Emmi1 aTranah, Gregory, J1 aTuomilehto, Jaakko1 avan Schoor, Natasja, M1 aVerma, Arjun1 aVollenweider, Peter1 aVölzke, Henry1 aWactawski-Wende, Jean1 aWalker, Mark1 aWeedon, Michael, N1 aWelch, Ryan1 aWichmann, H-Erich1 aWiden, Elisabeth1 aWilliams, Frances, M K1 aWilson, James, F1 aWright, Nicole, C1 aXie, Weijia1 aYu, Lei1 aZhou, Yanhua1 aChambers, John, C1 aDöring, Angela1 aDuijn, Cornelia, M1 aEcons, Michael, J1 aGudnason, Vilmundur1 aKooner, Jaspal, S1 aPsaty, Bruce, M1 aSpector, Timothy, D1 aStefansson, Kari1 aRivadeneira, Fernando1 aUitterlinden, André, G1 aWareham, Nicholas, J1 aOssowski, Vicky1 aWaterworth, Dawn1 aLoos, Ruth, J F1 aKarasik, David1 aHarris, Tamara, B1 aOhlsson, Claes1 aKiel, Douglas, P uhttps://chs-nhlbi.org/node/760007560nas a2202017 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2019 eng d a1938-320700aDisentangling the genetics of lean mass.0 aDisentangling the genetics of lean mass c2019 Feb 01 a276-2870 v1093 aBackground: Lean body mass (LM) plays an important role in mobility and metabolic function. We previously identified five loci associated with LM adjusted for fat mass in kilograms. Such an adjustment may reduce the power to identify genetic signals having an association with both lean mass and fat mass.
Objectives: To determine the impact of different fat mass adjustments on genetic architecture of LM and identify additional LM loci.
Methods: We performed genome-wide association analyses for whole-body LM (20 cohorts of European ancestry with n = 38,292) measured using dual-energy X-ray absorptiometry) or bioelectrical impedance analysis, adjusted for sex, age, age2, and height with or without fat mass adjustments (Model 1 no fat adjustment; Model 2 adjustment for fat mass as a percentage of body mass; Model 3 adjustment for fat mass in kilograms).
Results: Seven single-nucleotide polymorphisms (SNPs) in separate loci, including one novel LM locus (TNRC6B), were successfully replicated in an additional 47,227 individuals from 29 cohorts. Based on the strengths of the associations in Model 1 vs Model 3, we divided the LM loci into those with an effect on both lean mass and fat mass in the same direction and refer to those as "sumo wrestler" loci (FTO and MC4R). In contrast, loci with an impact specifically on LM were termed "body builder" loci (VCAN and ADAMTSL3). Using existing available genome-wide association study databases, LM increasing alleles of SNPs in sumo wrestler loci were associated with an adverse metabolic profile, whereas LM increasing alleles of SNPs in "body builder" loci were associated with metabolic protection.
Conclusions: In conclusion, we identified one novel LM locus (TNRC6B). Our results suggest that a genetically determined increase in lean mass might exert either harmful or protective effects on metabolic traits, depending on its relation to fat mass.
1 aKarasik, David1 aZillikens, Carola, M1 aHsu, Yi-Hsiang1 aAghdassi, Ali1 aÅkesson, Kristina1 aAmin, Najaf1 aBarroso, Inês1 aBennett, David, A1 aBertram, Lars1 aBochud, Murielle1 aBorecki, Ingrid, B1 aBroer, Linda1 aBuchman, Aron, S1 aByberg, Liisa1 aCampbell, Harry1 aCampos-Obando, Natalia1 aCauley, Jane, A1 aCawthon, Peggy, M1 aChambers, John, C1 aChen, Zhao1 aCho, Nam, H1 aChoi, Hyung, Jin1 aChou, Wen-Chi1 aCummings, Steven, R1 ade Groot, Lisette, C P G M1 aDe Jager, Phillip, L1 aDemuth, Ilja1 aDiatchenko, Luda1 aEcons, Michael, J1 aEiriksdottir, Gudny1 aEnneman, Anke, W1 aEriksson, Joel1 aEriksson, Johan, G1 aEstrada, Karol1 aEvans, Daniel, S1 aFeitosa, Mary, F1 aFu, Mao1 aGieger, Christian1 aGrallert, Harald1 aGudnason, Vilmundur1 aLenore, Launer, J1 aHayward, Caroline1 aHofman, Albert1 aHomuth, Georg1 aHuffman, Kim, M1 aHusted, Lise, B1 aIllig, Thomas1 aIngelsson, Erik1 aIttermann, Till1 aJansson, John-Olov1 aJohnson, Toby1 aBiffar, Reiner1 aJordan, Joanne, M1 aJula, Antti1 aKarlsson, Magnus1 aKhaw, Kay-Tee1 aKilpeläinen, Tuomas, O1 aKlopp, Norman1 aKloth, Jacqueline, S L1 aKoller, Daniel, L1 aKooner, Jaspal, S1 aKraus, William, E1 aKritchevsky, Stephen1 aKutalik, Zoltán1 aKuulasmaa, Teemu1 aKuusisto, Johanna1 aLaakso, Markku1 aLahti, Jari1 aLang, Thomas1 aLangdahl, Bente, L1 aLerch, Markus, M1 aLewis, Joshua, R1 aLill, Christina1 aLind, Lars1 aLindgren, Cecilia1 aLiu, Yongmei1 aLivshits, Gregory1 aLjunggren, Osten1 aLoos, Ruth, J F1 aLorentzon, Mattias1 aLuan, Jian'an1 aLuben, Robert, N1 aMalkin, Ida1 aMcGuigan, Fiona, E1 aMedina-Gómez, Carolina1 aMeitinger, Thomas1 aMelhus, Håkan1 aMellström, Dan1 aMichaëlsson, Karl1 aMitchell, Braxton, D1 aMorris, Andrew, P1 aMosekilde, Leif1 aNethander, Maria1 aNewman, Anne, B1 aO'Connell, Jeffery, R1 aOostra, Ben, A1 aOrwoll, Eric, S1 aPalotie, Aarno1 aPeacock, Munro1 aPerola, Markus1 aPeters, Annette1 aPrince, Richard, L1 aPsaty, Bruce, M1 aRäikkönen, Katri1 aRalston, Stuart, H1 aRipatti, Samuli1 aRivadeneira, Fernando1 aRobbins, John, A1 aRotter, Jerome, I1 aRudan, Igor1 aSalomaa, Veikko1 aSatterfield, Suzanne1 aSchipf, Sabine1 aShin, Chan, Soo1 aSmith, Albert, V1 aSmith, Shad, B1 aSoranzo, Nicole1 aSpector, Timothy, D1 aStančáková, Alena1 aStefansson, Kari1 aSteinhagen-Thiessen, Elisabeth1 aStolk, Lisette1 aStreeten, Elizabeth, A1 aStyrkarsdottir, Unnur1 aSwart, Karin, M A1 aThompson, Patricia1 aThomson, Cynthia, A1 aThorleifsson, Gudmar1 aThorsteinsdottir, Unnur1 aTikkanen, Emmi1 aTranah, Gregory, J1 aUitterlinden, André, G1 aDuijn, Cornelia, M1 avan Schoor, Natasja, M1 aVandenput, Liesbeth1 aVollenweider, Peter1 aVölzke, Henry1 aWactawski-Wende, Jean1 aWalker, Mark1 aWareham, Nicholas, J1 aWaterworth, Dawn1 aWeedon, Michael, N1 aWichmann, H-Erich1 aWiden, Elisabeth1 aWilliams, Frances, M K1 aWilson, James, F1 aWright, Nicole, C1 aYerges-Armstrong, Laura, M1 aYu, Lei1 aZhang, Weihua1 aZhao, Jing Hua1 aZhou, Yanhua1 aNielson, Carrie, M1 aHarris, Tamara, B1 aDemissie, Serkalem1 aKiel, Douglas, P1 aOhlsson, Claes uhttps://chs-nhlbi.org/node/7974