TY - JOUR T1 - Assessment of gene-by-sex interaction effect on bone mineral density. JF - J Bone Miner Res Y1 - 2012 A1 - Liu, Ching-Ti A1 - Estrada, Karol A1 - Yerges-Armstrong, Laura M A1 - Amin, Najaf A1 - Evangelou, Evangelos A1 - Li, Guo A1 - Minster, Ryan L A1 - Carless, Melanie A A1 - Kammerer, Candace M A1 - Oei, Ling A1 - Zhou, Yanhua A1 - Alonso, Nerea A1 - Dailiana, Zoe A1 - Eriksson, Joel A1 - García-Giralt, Natalia A1 - Giroux, Sylvie A1 - Husted, Lise Bjerre A1 - Khusainova, Rita I A1 - Koromila, Theodora A1 - Kung, Annie Waichee A1 - Lewis, Joshua R A1 - Masi, Laura A1 - Mencej-Bedrac, Simona A1 - Nogues, Xavier A1 - Patel, Millan S A1 - Prezelj, Janez A1 - Richards, J Brent A1 - Sham, Pak Chung A1 - Spector, Timothy A1 - Vandenput, Liesbeth A1 - Xiao, Su-Mei A1 - Zheng, Hou-Feng A1 - Zhu, Kun A1 - Balcells, Susana A1 - Brandi, Maria Luisa A1 - Frost, Morten A1 - Goltzman, David A1 - González-Macías, Jesús A1 - Karlsson, Magnus A1 - Khusnutdinova, Elza K A1 - Kollia, Panagoula A1 - Langdahl, Bente Lomholt A1 - Ljunggren, Osten A1 - Lorentzon, Mattias A1 - Marc, Janja A1 - Mellström, Dan A1 - Ohlsson, Claes A1 - Olmos, José M A1 - Ralston, Stuart H A1 - Riancho, José A A1 - Rousseau, François A1 - Urreizti, Roser A1 - Van Hul, Wim A1 - Zarrabeitia, María T A1 - Castano-Betancourt, Martha A1 - Demissie, Serkalem A1 - Grundberg, Elin A1 - Herrera, Lizbeth A1 - Kwan, Tony A1 - Medina-Gómez, Carolina A1 - Pastinen, Tomi A1 - Sigurdsson, Gunnar A1 - Thorleifsson, Gudmar A1 - Vanmeurs, Joyce Bj A1 - Blangero, John A1 - Hofman, Albert A1 - Liu, Yongmei A1 - Mitchell, Braxton D A1 - O'Connell, Jeffrey R A1 - Oostra, Ben A A1 - Rotter, Jerome I A1 - Stefansson, Kari A1 - Streeten, Elizabeth A A1 - Styrkarsdottir, Unnur A1 - Thorsteinsdottir, Unnur A1 - Tylavsky, Frances A A1 - Uitterlinden, Andre A1 - Cauley, Jane A A1 - Harris, Tamara B A1 - Ioannidis, John Pa A1 - Psaty, Bruce M A1 - Robbins, John A A1 - Zillikens, M Carola A1 - Vanduijn, Cornelia M A1 - Prince, Richard L A1 - Karasik, David A1 - Rivadeneira, Fernando A1 - Kiel, Douglas P A1 - Cupples, L Adrienne A1 - Hsu, Yi-Hsiang KW - Bone Density KW - Cohort Studies KW - Female KW - Genes KW - Genome-Wide Association Study KW - Humans KW - Male KW - Meta-Analysis as Topic KW - Polymorphism, Single Nucleotide KW - Quantitative Trait Loci KW - Reproducibility of Results KW - Sex Characteristics AB -

Sexual dimorphism in various bone phenotypes, including bone mineral density (BMD), is widely observed; however, the extent to which genes explain these sex differences is unclear. To identify variants with different effects by sex, we examined gene-by-sex autosomal interactions genome-wide, and performed expression quantitative trait loci (eQTL) analysis and bioinformatics network analysis. We conducted an autosomal genome-wide meta-analysis of gene-by-sex interaction on lumbar spine (LS) and femoral neck (FN) BMD in 25,353 individuals from 8 cohorts. In a second stage, we followed up the 12 top single-nucleotide polymorphisms (SNPs; p < 1 × 10(-5) ) in an additional set of 24,763 individuals. Gene-by-sex interaction and sex-specific effects were examined in these 12 SNPs. We detected one novel genome-wide significant interaction associated with LS-BMD at the Chr3p26.1-p25.1 locus, near the GRM7 gene (male effect = 0.02 and p = 3.0 × 10(-5) ; female effect = -0.007 and p = 3.3 × 10(-2) ), and 11 suggestive loci associated with either FN- or LS-BMD in discovery cohorts. However, there was no evidence for genome-wide significant (p < 5 × 10(-8) ) gene-by-sex interaction in the joint analysis of discovery and replication cohorts. Despite the large collaborative effort, no genome-wide significant evidence for gene-by-sex interaction was found to influence BMD variation in this screen of autosomal markers. If they exist, gene-by-sex interactions for BMD probably have weak effects, accounting for less than 0.08% of the variation in these traits per implicated SNP. © 2012 American Society for Bone and Mineral Research.

VL - 27 IS - 10 U1 - http://www.ncbi.nlm.nih.gov/pubmed/22692763?dopt=Abstract ER - TY - JOUR T1 - Genome-wide meta-analysis identifies 56 bone mineral density loci and reveals 14 loci associated with risk of fracture. JF - Nat Genet Y1 - 2012 A1 - Estrada, Karol A1 - Styrkarsdottir, Unnur A1 - Evangelou, Evangelos A1 - Hsu, Yi-Hsiang A1 - Duncan, Emma L A1 - Ntzani, Evangelia E A1 - Oei, Ling A1 - Albagha, Omar M E A1 - Amin, Najaf A1 - Kemp, John P A1 - Koller, Daniel L A1 - Li, Guo A1 - Liu, Ching-Ti A1 - Minster, Ryan L A1 - Moayyeri, Alireza A1 - Vandenput, Liesbeth A1 - Willner, Dana A1 - Xiao, Su-Mei A1 - Yerges-Armstrong, Laura M A1 - Zheng, Hou-Feng A1 - Alonso, Nerea A1 - Eriksson, Joel A1 - Kammerer, Candace M A1 - Kaptoge, Stephen K A1 - Leo, Paul J A1 - Thorleifsson, Gudmar A1 - Wilson, Scott G A1 - Wilson, James F A1 - Aalto, Ville A1 - Alen, Markku A1 - Aragaki, Aaron K A1 - Aspelund, Thor A1 - Center, Jacqueline R A1 - Dailiana, Zoe A1 - Duggan, David J A1 - Garcia, Melissa A1 - García-Giralt, Natalia A1 - Giroux, Sylvie A1 - Hallmans, Göran A1 - Hocking, Lynne J A1 - Husted, Lise Bjerre A1 - Jameson, Karen A A1 - Khusainova, Rita A1 - Kim, Ghi Su A1 - Kooperberg, Charles A1 - Koromila, Theodora A1 - Kruk, Marcin A1 - Laaksonen, Marika A1 - LaCroix, Andrea Z A1 - Lee, Seung Hun A1 - Leung, Ping C A1 - Lewis, Joshua R A1 - Masi, Laura A1 - Mencej-Bedrac, Simona A1 - Nguyen, Tuan V A1 - Nogues, Xavier A1 - Patel, Millan S A1 - Prezelj, Janez A1 - Rose, Lynda M A1 - Scollen, Serena A1 - Siggeirsdottir, Kristin A1 - Smith, Albert V A1 - Svensson, Olle A1 - Trompet, Stella A1 - Trummer, Olivia A1 - van Schoor, Natasja M A1 - Woo, Jean A1 - Zhu, Kun A1 - Balcells, Susana A1 - Brandi, Maria Luisa A1 - Buckley, Brendan M A1 - Cheng, Sulin A1 - Christiansen, Claus A1 - Cooper, Cyrus A1 - Dedoussis, George A1 - Ford, Ian A1 - Frost, Morten A1 - Goltzman, David A1 - González-Macías, Jesús A1 - Kähönen, Mika A1 - Karlsson, Magnus A1 - Khusnutdinova, Elza A1 - Koh, Jung-Min A1 - Kollia, Panagoula A1 - Langdahl, Bente Lomholt A1 - Leslie, William D A1 - Lips, Paul A1 - Ljunggren, Osten A1 - Lorenc, Roman S A1 - Marc, Janja A1 - Mellström, Dan A1 - Obermayer-Pietsch, Barbara A1 - Olmos, José M A1 - Pettersson-Kymmer, Ulrika A1 - Reid, David M A1 - Riancho, José A A1 - Ridker, Paul M A1 - Rousseau, François A1 - Slagboom, P Eline A1 - Tang, Nelson L S A1 - Urreizti, Roser A1 - Van Hul, Wim A1 - Viikari, Jorma A1 - Zarrabeitia, María T A1 - Aulchenko, Yurii S A1 - Castano-Betancourt, Martha A1 - Grundberg, Elin A1 - Herrera, Lizbeth A1 - Ingvarsson, Thorvaldur A1 - Johannsdottir, Hrefna A1 - Kwan, Tony A1 - Li, Rui A1 - Luben, Robert A1 - Medina-Gómez, Carolina A1 - Palsson, Stefan Th A1 - Reppe, Sjur A1 - Rotter, Jerome I A1 - Sigurdsson, Gunnar A1 - van Meurs, Joyce B J A1 - Verlaan, Dominique A1 - Williams, Frances M K A1 - Wood, Andrew R A1 - Zhou, Yanhua A1 - Gautvik, Kaare M A1 - Pastinen, Tomi A1 - Raychaudhuri, Soumya A1 - Cauley, Jane A A1 - Chasman, Daniel I A1 - Clark, Graeme R A1 - Cummings, Steven R A1 - Danoy, Patrick A1 - Dennison, Elaine M A1 - Eastell, Richard A1 - Eisman, John A A1 - Gudnason, Vilmundur A1 - Hofman, Albert A1 - Jackson, Rebecca D A1 - Jones, Graeme A1 - Jukema, J Wouter A1 - Khaw, Kay-Tee A1 - Lehtimäki, Terho A1 - Liu, Yongmei A1 - Lorentzon, Mattias A1 - McCloskey, Eugene A1 - Mitchell, Braxton D A1 - Nandakumar, Kannabiran A1 - Nicholson, Geoffrey C A1 - Oostra, Ben A A1 - Peacock, Munro A1 - Pols, Huibert A P A1 - Prince, Richard L A1 - Raitakari, Olli A1 - Reid, Ian R A1 - Robbins, John A1 - Sambrook, Philip N A1 - Sham, Pak Chung A1 - Shuldiner, Alan R A1 - Tylavsky, Frances A A1 - van Duijn, Cornelia M A1 - Wareham, Nick J A1 - Cupples, L Adrienne A1 - Econs, Michael J A1 - Evans, David M A1 - Harris, Tamara B A1 - Kung, Annie Wai Chee A1 - Psaty, Bruce M A1 - Reeve, Jonathan A1 - Spector, Timothy D A1 - Streeten, Elizabeth A A1 - Zillikens, M Carola A1 - Thorsteinsdottir, Unnur A1 - Ohlsson, Claes A1 - Karasik, David A1 - Richards, J Brent A1 - Brown, Matthew A A1 - Stefansson, Kari A1 - Uitterlinden, André G A1 - Ralston, Stuart H A1 - Ioannidis, John P A A1 - Kiel, Douglas P A1 - Rivadeneira, Fernando KW - Bone Density KW - Computational Biology KW - European Continental Ancestry Group KW - Extracellular Matrix Proteins KW - Female KW - Femur Neck KW - Fractures, Bone KW - Gene Expression Profiling KW - Genetic Predisposition to Disease KW - Genome-Wide Association Study KW - Genotype KW - Glycoproteins KW - Humans KW - Intercellular Signaling Peptides and Proteins KW - Low Density Lipoprotein Receptor-Related Protein-5 KW - Lumbar Vertebrae KW - Male KW - Mitochondrial Membrane Transport Proteins KW - Osteoporosis KW - Phosphoproteins KW - Polymorphism, Single Nucleotide KW - Quantitative Trait Loci KW - Risk Factors KW - Spectrin AB -

Bone mineral density (BMD) is the most widely used predictor of fracture risk. We performed the largest meta-analysis to date on lumbar spine and femoral neck BMD, including 17 genome-wide association studies and 32,961 individuals of European and east Asian ancestry. We tested the top BMD-associated markers for replication in 50,933 independent subjects and for association with risk of low-trauma fracture in 31,016 individuals with a history of fracture (cases) and 102,444 controls. We identified 56 loci (32 new) associated with BMD at genome-wide significance (P < 5 × 10(-8)). Several of these factors cluster within the RANK-RANKL-OPG, mesenchymal stem cell differentiation, endochondral ossification and Wnt signaling pathways. However, we also discovered loci that were localized to genes not known to have a role in bone biology. Fourteen BMD-associated loci were also associated with fracture risk (P < 5 × 10(-4), Bonferroni corrected), of which six reached P < 5 × 10(-8), including at 18p11.21 (FAM210A), 7q21.3 (SLC25A13), 11q13.2 (LRP5), 4q22.1 (MEPE), 2p16.2 (SPTBN1) and 10q21.1 (DKK1). These findings shed light on the genetic architecture and pathophysiological mechanisms underlying BMD variation and fracture susceptibility.

VL - 44 IS - 5 ER - TY - JOUR T1 - Assessment of the genetic and clinical determinants of fracture risk: genome wide association and mendelian randomisation study. JF - BMJ Y1 - 2018 A1 - Trajanoska, Katerina A1 - Morris, John A A1 - Oei, Ling A1 - Zheng, Hou-Feng A1 - Evans, David M A1 - Kiel, Douglas P A1 - Ohlsson, Claes A1 - Richards, J Brent A1 - Rivadeneira, Fernando AB -

OBJECTIVES: To identify the genetic determinants of fracture risk and assess the role of 15 clinical risk factors on osteoporotic fracture risk.

DESIGN: Meta-analysis of genome wide association studies (GWAS) and a two-sample mendelian randomisation approach.

SETTING: 25 cohorts from Europe, United States, east Asia, and Australia with genome wide genotyping and fracture data.

PARTICIPANTS: A discovery set of 37 857 fracture cases and 227 116 controls; with replication in up to 147 200 fracture cases and 150 085 controls. Fracture cases were defined as individuals (>18 years old) who had fractures at any skeletal site confirmed by medical, radiological, or questionnaire reports. Instrumental variable analyses were performed to estimate effects of 15 selected clinical risk factors for fracture in a two-sample mendelian randomisation framework, using the largest previously published GWAS meta-analysis of each risk factor.

RESULTS: Of 15 fracture associated loci identified, all were also associated with bone mineral density and mapped to genes clustering in pathways known to be critical to bone biology (eg, , , and ) or novel pathways (, , and ). Mendelian randomisation analyses showed a clear effect of bone mineral density on fracture risk. One standard deviation decrease in genetically determined bone mineral density of the femoral neck was associated with a 55% increase in fracture risk (odds ratio 1.55 (95% confidence interval 1.48 to 1.63; P=1.5×10). Hand grip strength was inversely associated with fracture risk, but this result was not significant after multiple testing correction. The remaining clinical risk factors (including vitamin D levels) showed no evidence for an effect on fracture.

CONCLUSIONS: This large scale GWAS meta-analysis for fracture identified 15 genetic determinants of fracture, all of which also influenced bone mineral density. Among the clinical risk factors for fracture assessed, only bone mineral density showed a major causal effect on fracture. Genetic predisposition to lower levels of vitamin D and estimated calcium intake from dairy sources were not associated with fracture risk.

VL - 362 ER - TY - JOUR T1 - Genome-wide analyses identify a role for SLC17A4 and AADAT in thyroid hormone regulation. JF - Nat Commun Y1 - 2018 A1 - Teumer, Alexander A1 - Chaker, Layal A1 - Groeneweg, Stefan A1 - Li, Yong A1 - Di Munno, Celia A1 - Barbieri, Caterina A1 - Schultheiss, Ulla T A1 - Traglia, Michela A1 - Ahluwalia, Tarunveer S A1 - Akiyama, Masato A1 - Appel, Emil Vincent R A1 - Arking, Dan E A1 - Arnold, Alice A1 - Astrup, Arne A1 - Beekman, Marian A1 - Beilby, John P A1 - Bekaert, Sofie A1 - Boerwinkle, Eric A1 - Brown, Suzanne J A1 - De Buyzere, Marc A1 - Campbell, Purdey J A1 - Ceresini, Graziano A1 - Cerqueira, Charlotte A1 - Cucca, Francesco A1 - Deary, Ian J A1 - Deelen, Joris A1 - Eckardt, Kai-Uwe A1 - Ekici, Arif B A1 - Eriksson, Johan G A1 - Ferrrucci, Luigi A1 - Fiers, Tom A1 - Fiorillo, Edoardo A1 - Ford, Ian A1 - Fox, Caroline S A1 - Fuchsberger, Christian A1 - Galesloot, Tessel E A1 - Gieger, Christian A1 - Gögele, Martin A1 - De Grandi, Alessandro A1 - Grarup, Niels A1 - Greiser, Karin Halina A1 - Haljas, Kadri A1 - Hansen, Torben A1 - Harris, Sarah E A1 - van Heemst, Diana A1 - den Heijer, Martin A1 - Hicks, Andrew A A1 - den Hollander, Wouter A1 - Homuth, Georg A1 - Hui, Jennie A1 - Ikram, M Arfan A1 - Ittermann, Till A1 - Jensen, Richard A A1 - Jing, Jiaojiao A1 - Jukema, J Wouter A1 - Kajantie, Eero A1 - Kamatani, Yoichiro A1 - Kasbohm, Elisa A1 - Kaufman, Jean-Marc A1 - Kiemeney, Lambertus A A1 - Kloppenburg, Margreet A1 - Kronenberg, Florian A1 - Kubo, Michiaki A1 - Lahti, Jari A1 - Lapauw, Bruno A1 - Li, Shuo A1 - Liewald, David C M A1 - Lim, Ee Mun A1 - Linneberg, Allan A1 - Marina, Michela A1 - Mascalzoni, Deborah A1 - Matsuda, Koichi A1 - Medenwald, Daniel A1 - Meisinger, Christa A1 - Meulenbelt, Ingrid A1 - De Meyer, Tim A1 - Meyer zu Schwabedissen, Henriette E A1 - Mikolajczyk, Rafael A1 - Moed, Matthijs A1 - Netea-Maier, Romana T A1 - Nolte, Ilja M A1 - Okada, Yukinori A1 - Pala, Mauro A1 - Pattaro, Cristian A1 - Pedersen, Oluf A1 - Petersmann, Astrid A1 - Porcu, Eleonora A1 - Postmus, Iris A1 - Pramstaller, Peter P A1 - Psaty, Bruce M A1 - Ramos, Yolande F M A1 - Rawal, Rajesh A1 - Redmond, Paul A1 - Richards, J Brent A1 - Rietzschel, Ernst R A1 - Rivadeneira, Fernando A1 - Roef, Greet A1 - Rotter, Jerome I A1 - Sala, Cinzia F A1 - Schlessinger, David A1 - Selvin, Elizabeth A1 - Slagboom, P Eline A1 - Soranzo, Nicole A1 - Sørensen, Thorkild I A A1 - Spector, Timothy D A1 - Starr, John M A1 - Stott, David J A1 - Taes, Youri A1 - Taliun, Daniel A1 - Tanaka, Toshiko A1 - Thuesen, Betina A1 - Tiller, Daniel A1 - Toniolo, Daniela A1 - Uitterlinden, André G A1 - Visser, W Edward A1 - Walsh, John P A1 - Wilson, Scott G A1 - Wolffenbuttel, Bruce H R A1 - Yang, Qiong A1 - Zheng, Hou-Feng A1 - Cappola, Anne A1 - Peeters, Robin P A1 - Naitza, Silvia A1 - Völzke, Henry A1 - Sanna, Serena A1 - Köttgen, Anna A1 - Visser, Theo J A1 - Medici, Marco AB -

Thyroid dysfunction is an important public health problem, which affects 10% of the general population and increases the risk of cardiovascular morbidity and mortality. Many aspects of thyroid hormone regulation have only partly been elucidated, including its transport, metabolism, and genetic determinants. Here we report a large meta-analysis of genome-wide association studies for thyroid function and dysfunction, testing 8 million genetic variants in up to 72,167 individuals. One-hundred-and-nine independent genetic variants are associated with these traits. A genetic risk score, calculated to assess their combined effects on clinical end points, shows significant associations with increased risk of both overt (Graves' disease) and subclinical thyroid disease, as well as clinical complications. By functional follow-up on selected signals, we identify a novel thyroid hormone transporter (SLC17A4) and a metabolizing enzyme (AADAT). Together, these results provide new knowledge about thyroid hormone physiology and disease, opening new possibilities for therapeutic targets.

VL - 9 IS - 1 ER -