Browsing by Author "Medina-Gomez, Carolina"

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    Bivariate genome-wide association meta-analysis of pediatric musculoskeletal traits reveals pleiotropic effects at the SREBF1/TOM1L2 locus
    (Nature Publishing Group, 2017-07-25) Medina-Gomez, Carolina; Kemp, John P.; Dimou, Niki L.; Kreiner, Eskil; Chesi, Alessandra; Zemel, Babette S.; Bønnelykke, Klaus; Boer, Cindy G.; Ahluwalia, Tarunveer S.; Bisgaard, Hans; Evangelou, Evangelos; Heppe, Denise H.M.; Bonewald, Lynda F.; Gorski, Jeffrey P.; Ghanbari, Mohsen; Demissie, Serkalem; Duque, Gustavo; Maurano, Matthew T.; Kiel, Douglas P.; Hsu, Yi-Hsiang; Eerden, Bram C.J. van der; Ackert-Bicknell, Cheryl; Reppe, Sjur; Gautvik, Kaare M.; Raastad, Truls; Karasik, David; Peppel, Jeroen van de; Jaddoe, Vincent W.V.; Uitterlinden, André G.; Tobias, Jonathan H.; Grant, Struan F.A.; Bagos, Pantelis G.; Evans, David M.; Rivadeneira, Fernando; Anatomy and Cell Biology, School of Medicine
    Bone mineral density is known to be a heritable, polygenic trait whereas genetic variants contributing to lean mass variation remain largely unknown. We estimated the shared SNP heritability and performed a bivariate GWAS meta-analysis of total-body lean mass (TB-LM) and total-body less head bone mineral density (TBLH-BMD) regions in 10,414 children. The estimated SNP heritability is 43% (95% CI: 34-52%) for TBLH-BMD, and 39% (95% CI: 30-48%) for TB-LM, with a shared genetic component of 43% (95% CI: 29-56%). We identify variants with pleiotropic effects in eight loci, including seven established bone mineral density loci: WNT4, GALNT3, MEPE, CPED1/WNT16, TNFSF11, RIN3, and PPP6R3/LRP5. Variants in the TOM1L2/SREBF1 locus exert opposing effects TB-LM and TBLH-BMD, and have a stronger association with the former trait. We show that SREBF1 is expressed in murine and human osteoblasts, as well as in human muscle tissue. This is the first bivariate GWAS meta-analysis to demonstrate genetic factors with pleiotropic effects on bone mineral density and lean mass.Bone mineral density and lean skeletal mass are heritable traits. Here, Medina-Gomez and colleagues perform bivariate GWAS analyses of total body lean mass and bone mass density in children, and show genetic loci with pleiotropic effects on both traits.
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    Disentangling the genetics of lean mass
    (Oxford University Press, 2019-02-01) Karasik, David; Zillikens, M. Carola; Hsu, Yi-Hsiang; Aghdassi, Ali; Akesson, Kristina; Amin, Najaf; Barroso, Inês; Bennett, David A.; Bertram, Lars; Bochud, Murielle; Borecki, Ingrid B.; Broer, Linda; Buchman, Aron S.; Byberg, Liisa; Campbell, Harry; Campos-Obando, Natalia; Cauley, Jane A.; Cawthon, Peggy M.; Chambers, John C.; Chen, Zhao; Cho, Nam H.; Choi, Hyung Jin; Chou, Wen-Chi; Cummings, Steven R.; De Groot, Lisette C. P. G. M.; De Jager, Phillip L.; Demuth, Ilja; Diatchenko, Luda; Econs, Michael J.; Eiriksdottir, Gudny; Enneman, Anke W.; Eriksson, Joel; Eriksson, Johan G.; Estrada, Karol; Evans, Daniel S.; Feitosa, Mary F.; Fu, Mao; Gieger, Christian; Grallert, Harald; Gudnason, Vilmundur; Lenore, Launer J.; Hayward, Caroline; Hofman, Albert; Homuth, Georg; Huffman, Kim M.; Husted, Lise B.; Illig, Thomas; Ingelsson, Erik; Ittermann, Till; Jansson, John-Olov; Johnson, Toby; Biffar, Reiner; Jordan, Joanne M.; Jula, Antti; Karlsson, Magnus; Khaw, Kay-Tee; Kilpeläinen, Tuomas O.; Klopp, Norman; Kloth, Jacqueline S. L.; Koller, Daniel L.; Kooner, Jaspal S.; Kraus, William E.; Kritchevsky, Stephen; Kutalik, Zoltán; Kuulasmaa, Teemu; Kuusisto, Johanna; Laakso, Markku; Lahti, Jari; Lang, Thomas; Langdahl, Bente L.; Lerch, Markus M.; Lewis, Joshua R.; Lill, Christina; Lind, Lars; Lindgren, Cecilia; Liu, Yongmei; Livshits, Gregory; Ljunggren, Östen; Loos, Ruth J. F.; Lorentzon, Mattias; Luan, Jian'an; Luben, Robert N.; Malkin, Ida; McGuigan, Fiona E.; Medina-Gomez, Carolina; Meitinger, Thomas; Melhus, Håkan; Mellström, Dan; Michaëlsson, Karl; Mitchell, Braxton D.; Morris, Andrew P.; Mosekilde, Leif; Nethander, Maria; Newman, Anne B.; O'Connell, Jeffery R.; Oostra, Ben A.; Orwoll, Eric S.; Palotie, Aarno; Peacock, Munro; Perola, Markus; Peters, Annette; Prince, Richard L.; Psaty, Bruce M.; Räikkönen, Katri; Ralston, Stuart H.; Ripatti, Samuli; Rivadeneira, Fernando; Robbins, John A.; Rotter, Jerome I.; Rudan, Igor; Salomaa, Veikko; Satterfield, Suzanne; Schipf, Sabine; Shin, Chan Soo; Smith, Albert V.; Smith, Shad B.; Soranzo, Nicole; Spector, Timothy D.; Stančáková, Alena; Stefansson, Kari; Steinhagen-Thiessen, Elisabeth; Stolk, Lisette; Streeten, Elizabeth A.; Styrkarsdottir, Unnur; Swart, Karin M. A.; Thompson, Patricia; Thomson, Cynthia A.; Thorleifsson, Gudmar; Thorsteinsdottir, Unnur; Tikkanen, Emmi; Tranah, Gregory J.; Uitterlinden, André G.; Van Duijn, Cornelia M.; Van Schoor, Natasja M.; Vandenput, Liesbeth; Vollenweider, Peter; Völzke, Henry; Wactawski-Wende, Jean; Walker, Mark; Wareham, Nicholas J.; Waterworth, Dawn; Weedon, Michael N.; Wichmann, H-Erich.; Widen, Elisabeth; Williams, Frances M. K.; Wilson, James F.; Wright, Nicole C.; Yerges-Armstrong, Laura M.; Yu, Lei; Zhang, Weihua; Zhao, Jing Hua; Zhou, Yanhua; Nielson, Carrie M.; Harris, Tamara B.; Demissie, Serkalem; Kiel, Douglas P.; Ohlsson, Claes; Medicine, School of Medicine
    Background: 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.
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    Genome-wide association study identifies 48 common genetic variants associated with handedness
    (Springer Nature, 2021) Cuellar-Partida, Gabriel; Tung, Joyce Y.; Eriksson, Nicholas; Albrecht, Eva; Aliev, Fazil; Andreassen, Ole A.; Barroso, Inês; Beckmann, Jacques S.; Boks, Marco P.; Boomsma, Dorret I.; Boyd, Heather A.; Breteler, Monique M. B.; Campbell, Harry; Chasman, Daniel I.; Cherkas, Lynn F.; Davies, Gail; de Geus, Eco J. C.; Deary, Ian J.; Deloukas, Panos; Dick, Danielle M.; Duffy, David L.; Eriksson, Johan G.; Esko, Tõnu; Feenstra, Bjarke; Geller, Frank; Gieger, Christian; Giegling, Ina; Gordon, Scott D.; Han, Jiali; Hansen, Thomas F.; Hartmann, Annette M.; Hayward, Caroline; Heikkilä, Kauko; Hicks, Andrew A.; Hirschhorn, Joel N.; Hottenga, Jouke-Jan; Huffman, Jennifer E.; Hwang, Liang-Dar; Ikram, M. Arfan; Kaprio, Jaakko; Kemp, John P.; Khaw, Kay-Tee; Klopp, Norman; Konte, Bettina; Kutalik, Zoltan; Lahti, Jari; Li, Xin; Loos, Ruth J. F.; Luciano, Michelle; Magnusson, Sigurdur H.; Mangino, Massimo; Marques-Vidal, Pedro; Martin, Nicholas G.; McArdle, Wendy L.; McCarthy, Mark I.; Medina-Gomez, Carolina; Melbye, Mads; Melville, Scott A.; Metspalu, Andres; Milani, Lili; Mooser, Vincent; Nelis, Mari; Nyholt, Dale R.; O'Connell, Kevin S.; Ophoff, Roel A.; Palmer, Cameron; Palotie, Aarno; Palviainen, Teemu; Pare, Guillaume; Paternoster, Lavinia; Peltonen, Leena; Penninx, Brenda W. J. H.; Polasek, Ozren; Pramstaller, Peter P.; Prokopenko, Inga; Raikkonen, Katri; Ripatti, Samuli; Rivadeneira, Fernando; Rudan, Igor; Rujescu, Dan; Smit, Johannes H.; Smith, George Davey; Smoller, Jordan W.; Soranzo, Nicole; Spector, Tim D.; St. Pourcain, Beate; Starr, John M.; Stefánsson, Hreinn; Steinberg, Stacy; Teder-Laving, Maris; Thorleifsson, Gudmar; Stefánsson, Kári; Timpson, Nicholas J.; Uitterlinden, André G.; van Duijn, Cornelia M.; van Rooij, Frank J. A.; Vink, Jaqueline M.; Vollenweider, Peter; Vuoksimaa, Eero; Waeber, Gérard; Wareham, Nicholas J.; Warrington, Nicole; Waterworth, Dawn; Werge, Thomas; Wichmann, H-Erich; Widen, Elisabeth; Willemsen, Gonneke; Wright, Alan F.; Wright, Margaret J.; Xu, Mousheng; Zhao, Jing Hua; Kraft, Peter; Hinds, David A.; Lindgren, Cecilia M.; Mägi, Reedik; Neale, Benjamin M.; Evans, David M.; Medland, Sarah E.; Epidemiology, School of Public Health
    Handedness has been extensively studied because of its relationship with language and the over-representation of left-handers in some neurodevelopmental disorders. Using data from the UK Biobank, 23andMe and the International Handedness Consortium, we conducted a genome-wide association meta-analysis of handedness (N = 1,766,671). We found 41 loci associated (P < 5 × 10-8) with left-handedness and 7 associated with ambidexterity. Tissue-enrichment analysis implicated the CNS in the aetiology of handedness. Pathways including regulation of microtubules and brain morphology were also highlighted. We found suggestive positive genetic correlations between left-handedness and neuropsychiatric traits, including schizophrenia and bipolar disorder. Furthermore, the genetic correlation between left-handedness and ambidexterity is low (rG = 0.26), which implies that these traits are largely influenced by different genetic mechanisms. Our findings suggest that handedness is highly polygenic and that the genetic variants that predispose to left-handedness may underlie part of the association with some psychiatric disorders.
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    Meta-Analysis of Genomewide Association Studies Reveals Genetic Variants for Hip Bone Geometry
    (Wiley, 2019-07) Hsu, Yi-Hsiang; Estrada, Karol; Evangelou, Evangelos; Ackert-Bicknell, Cheryl; Akesson, Kristina; Beck, Thomas; Brown, Suzanne J.; Capellini, Terence; Carbone, Laura; Cauley, Jane; Cheung, Ching-Lung; Cummings, Steven R.; Czerwinski, Stefan; Demissie, Serkalem; Econs, Michael; Evans, Daniel; Farber, Charles; Gautvik, Kaare; Harris, Tamara; Kammerer, Candace; Kemp, John; Koller, Daniel L.; Kung, Annie; Lawlor, Debbie; Lee, Miryoung; Lorentzon, Mattias; McGuigan, Fiona; Medina-Gomez, Carolina; Mitchell, Braxton; Newman, Anne; Nielson, Carrie; Ohlsson, Claes; Peacock, Munro; Reppe, Sjur; Richards, J. Brent; Robbins, John; Sigurdsson, Gunnar; Spector, Timothy D.; Stefansson, Kari; Streeten, Elizabeth; Styrkarsdottir, Unnur; Tobias, Jonathan; Trajanoska, Katerina; Uitterlinden, André; Vandenput, Liesbeth; Wilson, Scott G.; Yerges-Armstrong, Laura; Young, Mariel; Zillikens, Carola; Rivadeneira, Fernando; Kiel, Douglas P.; Karasik, David; Medicine, School of Medicine
    Hip geometry is an important predictor of fracture. We performed a meta-analysis of GWAS studies in adults to identify genetic variants that are associated with proximal femur geometry phenotypes. We analyzed four phenotypes: (i) femoral neck length; (ii) neck-shaft angle; (iii) femoral neck width, and (iv) femoral neck section modulus, estimated from DXA scans using algorithms of hip structure analysis. In the Discovery stage, 10 cohort studies were included in the fixed-effect meta-analysis, with up to 18,719 men and women ages 16 to 93 years. Association analyses were performed with ∼2.5 million polymorphisms under an additive model adjusted for age, body mass index, and height. Replication analyses of meta-GWAS significant loci (at adjusted genomewide significance [GWS], threshold p ≤ 2.6 × 10-8 ) were performed in seven additional cohorts in silico. We looked up SNPs associated in our analysis, for association with height, bone mineral density (BMD), and fracture. In meta-analysis (combined Discovery and Replication stages), GWS associations were found at 5p15 (IRX1 and ADAMTS16); 5q35 near FGFR4; at 12p11 (in CCDC91); 11q13 (near LRP5 and PPP6R3 (rs7102273)). Several hip geometry signals overlapped with BMD, including LRP5 (chr. 11). Chr. 11 SNP rs7102273 was associated with any-type fracture (p = 7.5 × 10-5 ). We used bone transcriptome data and discovered several significant eQTLs, including rs7102273 and PPP6R3 expression (p = 0.0007), and rs6556301 (intergenic, chr.5 near FGFR4) and PDLIM7 expression (p = 0.005). In conclusion, we found associations between several genes and hip geometry measures that explained 12% to 22% of heritability at different sites. The results provide a defined set of genes related to biological pathways relevant to BMD and etiology of bone fragility.
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    Phenotypic dissection of bone mineral density reveals skeletal site specificity and facilitates the identification of novel loci in the genetic regulation of bone mass attainment
    (Public Library of Science, 2014-06-19) Kemp, John P.; Medina-Gomez, Carolina; Estrada, Karol; St. Pourcain, Beate; Heppe, Denise H. M.; Warrington, Nicole M.; Oei, Ling; Ring, Susan M.; Kruithof, Claudia J.; Timpson, Nicholas J.; Wolber, Lisa E.; Reppe, Sjur; Gautvik, Kaare; Grundberg, Elin; Ge, Bing; van der Eerden, Bram; van de Peppel, Jeroen; Hibbs, Matthew A.; Ackert-Bicknell, Cheryl L.; Choi, Kwangbom; Koller, Daniel L.; Econs, Michael J.; Williams, Frances M. K.; Foroud, Tatiana; Zillikens, M. Carola; Ohlsson, Claes; Hofman, Albert; Uitterlinden, André G.; Smith, George Davey; Jaddoe, Vincent W. V.; Tobias, Jonathan H.; Rivadeneira, Fernando; Evans, David M.; Medical and Molecular Genetics, School of Medicine
    Heritability of bone mineral density (BMD) varies across skeletal sites, reflecting different relative contributions of genetic and environmental influences. To quantify the degree to which common genetic variants tag and environmental factors influence BMD, at different sites, we estimated the genetic (rg) and residual (re) correlations between BMD measured at the upper limbs (UL-BMD), lower limbs (LL-BMD) and skull (SK-BMD), using total-body DXA scans of ∼ 4,890 participants recruited by the Avon Longitudinal Study of Parents and their Children (ALSPAC). Point estimates of rg indicated that appendicular sites have a greater proportion of shared genetic architecture (LL-/UL-BMD rg = 0.78) between them, than with the skull (UL-/SK-BMD rg = 0.58 and LL-/SK-BMD rg = 0.43). Likewise, the residual correlation between BMD at appendicular sites (r(e) = 0.55) was higher than the residual correlation between SK-BMD and BMD at appendicular sites (r(e) = 0.20-0.24). To explore the basis for the observed differences in rg and re, genome-wide association meta-analyses were performed (n ∼ 9,395), combining data from ALSPAC and the Generation R Study identifying 15 independent signals from 13 loci associated at genome-wide significant level across different skeletal regions. Results suggested that previously identified BMD-associated variants may exert site-specific effects (i.e. differ in the strength of their association and magnitude of effect across different skeletal sites). In particular, variants at CPED1 exerted a larger influence on SK-BMD and UL-BMD when compared to LL-BMD (P = 2.01 × 10(-37)), whilst variants at WNT16 influenced UL-BMD to a greater degree when compared to SK- and LL-BMD (P = 2.31 × 10(-14)). In addition, we report a novel association between RIN3 (previously associated with Paget's disease) and LL-BMD (rs754388: β = 0.13, SE = 0.02, P = 1.4 × 10(-10)). Our results suggest that BMD at different skeletal sites is under a mixture of shared and specific genetic and environmental influences. Allowing for these differences by performing genome-wide association at different skeletal sites may help uncover new genetic influences on BMD.