Browsing by Author "Smith, George Davey"

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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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    Genome-wide association study in almost 195,000 individuals identifies 50 previously unidentified genetic loci for eye color
    (American Association for the Advancement of Science, 2021-03-10) Simcoe, Mark; Valdes, Ana; Liu, Fan; Furlotte, Nicholas A.; Evans, David M.; Hemani, Gibran; Ring, Susan M.; Smith, George Davey; Duffy, David L.; Zhu, Gu; Gordon, Scott D.; Medland, Sarah E.; Vuckovic, Dragana; Girotto, Giorgia; Sala, Cinzia; Catamo, Eulalia; Concas, Maria Pina; Brumat, Marco; Gasparini, Paolo; Toniolo, Daniela; Cocca, Massimiliano; Robino, Antonietta; Yazar, Seyhan; Hewitt, Alex; Wu, Wenting; Kraft, Peter; Hammond, Christopher J.; Shi, Yuan; Chen, Yan; Zeng, Changqing; Klaver, Caroline C. W.; Uitterlinden, Andre G.; Ikram, M. Arfan; Hamer, Merel A.; van Duijn, Cornelia M.; Nijsten, Tamar; Han, Jiali; Mackey, David A.; Martin, Nicholas G.; Cheng, Ching-Yu; 23andMe Research Team; International Visible Trait Genetics Consortium; Hinds, David A.; Spector, Timothy D.; Kayser, Manfred; Hysi, Pirro G.; Epidemiology, School of Public Health
    Human eye color is highly heritable, but its genetic architecture is not yet fully understood. We report the results of the largest genome-wide association study for eye color to date, involving up to 192,986 European participants from 10 populations. We identify 124 independent associations arising from 61 discrete genomic regions, including 50 previously unidentified. We find evidence for genes involved in melanin pigmentation, but we also find associations with genes involved in iris morphology and structure. Further analyses in 1636 Asian participants from two populations suggest that iris pigmentation variation in Asians is genetically similar to Europeans, albeit with smaller effect sizes. Our findings collectively explain 53.2% (95% confidence interval, 45.4 to 61.0%) of eye color variation using common single-nucleotide polymorphisms. Overall, our study outcomes demonstrate that the genetic complexity of human eye color considerably exceeds previous knowledge and expectations, highlighting eye color as a genetically highly complex human trait.
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    Parent-of-origin specific allelic associations among 106 genomic loci for age at menarche
    (Nature Publishing Group, 2014-10-02) Perry, John RB; Day, Felix; Elks, Cathy E.; Sulem, Patrick; Thompson, Deborah J.; Ferreira, Teresa; He, Chunyan; Chasman, Daniel I.; Esko, Tõnu; Thorleifsson, Gudmar; Albrecht, Eva; Ang, Wei Q.; Corre, Tanguy; Cousminer, Diana L.; Feenstra, Bjarke; Franceschini, Nora; Ganna, Andrea; Johnson, Andrew D.; Kjellqvist, Sanela; Lunetta, Kathryn L.; McMahon, George; Nolte, Ilja M.; Paternoster, Lavinia; Porcu, Eleonora; Smith, Albert V.; Stolk, Lisette; Teumer, Alexander; Tšernikova, Natalia; Tikkanen, Emmi; Ulivi, Sheila; Wagner, Erin K.; Amin, Najaf; Bierut, Laura J.; Byrne, Enda M.; Hottenga, Jouke-Jan; Koller, Daniel L.; Mangino, Massimo; Pers, Tune H.; Yerges-Armstrong, Laura M.; Zhao, Jing Hua; Andrulis, Irene L.; Anton-Culver, Hoda; Atsma, Femke; Bandinelli, Stefania; Beckmann, Matthias W.; Benitez, Javier; Blomqvist, Carl; Bojesen, Stig E.; Bolla, Manjeet K.; Bonanni, Bernardo; Brauch, Hiltrud; Brenner, Hermann; Buring, Julie E.; Chang-Claude, Jenny; Chanock, Stephen; Chen, Jinhui; Chenevix-Trench, Georgia; Collée, J. Margriet; Couch, Fergus J.; Couper, David; Coveillo, Andrea D.; Cox, Angela; Czene, Kamila; D’adamo, Adamo Pio; Smith, George Davey; De Vivo, Immaculata; Demerath, Ellen W.; Dennis, Joe; Devilee, Peter; Dieffenbach, Aida K.; Dunning, Alison M.; Eiriksdottir, Gudny; Eriksson, Johan G.; Fasching, Peter A.; Ferrucci, Luigi; Flesch-Janys, Dieter; Flyger, Henrik; Foroud, Tatiana; Franke, Lude; Garcia, Melissa E.; García-Closas, Montserrat; Geller, Frank; de Geus, Eco EJ; Giles, Graham G.; Gudbjartsson, Daniel F.; Gudnason, Vilmundur; Guénel, Pascal; Guo, Suiqun; Hall, Per; Hamann, Ute; Haring, Robin; Hartman, Catharina A.; Heath, Andrew C.; Hofman, Albert; Hooning, Maartje J.; Hopper, John L.; Hu, Frank B.; Hunter, David J.; Karasik, David; Kiel, Douglas P.; Knight, Julia A.; Kosma, Veli-Matti; Kutalik, Zoltan; Lai, Sandra; Lambrechts, Diether; Lindblom, Annika; Mägi, Reedik; Magnusson, Patrik K.; Mannermaa, Arto; Martin, Nicholas G.; Masson, Gisli; McArdle, Patrick F.; McArdle, Wendy L.; Melbye, Mads; Michailidou, Kyriaki; Mihailov, Evelin; Milani, Lili; Milne, Roger L.; Nevanlinna, Heli; Neven, Patrick; Nohr, Ellen A.; Oldehinkel, Albertine J.; Oostra, Ben A.; Palotie, Aarno; Peacock, Munro; Pedersen, Nancy L.; Peterlongo, Paolo; Peto, Julian; Pharoah, Paul DP; Postma, Dirkje S.; Pouta, Anneli; Pylkäs, Katri; Radice, Paolo; Ring, Susan; Rivadeneira, Fernando; Robino, Antonietta; Rose, Lynda M.; Rudolph, Anja; Salomaa, Veikko; Sanna, Serena; Schlessinger, David; Schmidt, Marjanka K.; Southey, Mellissa C.; Sovio, Ulla; Stampfer, Meir J.; Stöckl, Doris; Storniolo, Anna M.; Timpson, Nicholas J.; Tyrer, Jonathan; Visser, Jenny A.; Vollenweider, Peter; Völzke, Henry; Waeber, Gerard; Waldenberger, Melanie; Wallaschofski, Henri; Wang, Qin; Willemsen, Gonneke; Winqvist, Robert; Wolffenbuttel, Bruce HR; Wright, Margaret J.; Boomsma, Dorret I.; Econs, Michael J.; Khaw, Kay-Tee; Loos, Ruth JF; McCarthy, Mark I.; Montgomery, Grant W.; Rice, John P.; Streeten, Elizabeth A.; Thorsteinsdottir, Unnur; van Duijn, Cornelia M.; Alizadeh, Behrooz Z.; Bergmann, Sven; Boerwinkle, Eric; Boyd, Heather A.; Crisponi, Laura; Gasparini, Paolo; Gieger, Christian; Harris, Tamara B.; Ingelsson, Erik; Järvelin, Marjo-Riitta; Kraft, Peter; Lawlor, Debbie; Metspalu, Andres; Pennell, Craig E.; Ridker, Paul M.; Snieder, Harold; Sørensen, Thorkild IA; Spector, Tim D.; Strachan, David P.; Uitterlinden, André G.; Wareham, Nicholas J.; Widen, Elisabeth; Zygmunt, Marek; Murray, Anna; Easton, Douglas F.; Stefansson, Kari; Murabito, Joanne M.; Ong, Ken K.; Department of Epidemiology, Richard M. Fairbanks School of Public Health
    Age at menarche is a marker of timing of puberty in females. It varies widely between individuals, is a heritable trait and is associated with risks for obesity, type 2 diabetes, cardiovascular disease, breast cancer and all-cause mortality. Studies of rare human disorders of puberty and animal models point to a complex hypothalamic-pituitary-hormonal regulation,, but the mechanisms that determine pubertal timing and underlie its links to disease risk remain unclear. Here, using genome-wide and custom-genotyping arrays in up to 182,416 women of European descent from 57 studies, we found robust evidence (P<5×10−8) for 123 signals at 106 genomic loci associated with age at menarche. Many loci were associated with other pubertal traits in both sexes, and there was substantial overlap with genes implicated in body mass index and various diseases, including rare disorders of puberty. Menarche signals were enriched in imprinted regions, with three loci (DLK1/WDR25, MKRN3/MAGEL2 and KCNK9) demonstrating parent-of-origin specific associations concordant with known parental expression patterns. Pathway analyses implicated nuclear hormone receptors, particularly retinoic acid and gamma-aminobutyric acid-B2 receptor signaling, among novel mechanisms that regulate pubertal timing in humans. Our findings suggest a genetic architecture involving at least hundreds of common variants in the coordinated timing of the pubertal transition.
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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.
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    Principled distillation of UK Biobank phenotype data reveals underlying structure in human variation
    (Springer Nature, 2024) Carey, Caitlin E.; Shafee, Rebecca; Wedow, Robbee; Elliott, Amanda; Palmer, Duncan S.; Compitello, John; Kanai, Masahiro; Abbott, Liam; Schultz, Patrick; Karczewski, Konrad J.; Bryant, Samuel C.; Cusick, Caroline M.; Churchhouse, Claire; Howrigan, Daniel P.; King, Daniel; Smith, George Davey; Neale, Benjamin M.; Walters, Raymond K.; Robinson, Elise B.; Medical and Molecular Genetics, School of Medicine
    Data within biobanks capture broad yet detailed indices of human variation, but biobank-wide insights can be difficult to extract due to complexity and scale. Here, using large-scale factor analysis, we distill hundreds of variables (diagnoses, assessments and survey items) into 35 latent constructs, using data from unrelated individuals with predominantly estimated European genetic ancestry in UK Biobank. These factors recapitulate known disease classifications, disentangle elements of socioeconomic status, highlight the relevance of psychiatric constructs to health and improve measurement of pro-health behaviours. We go on to demonstrate the power of this approach to clarify genetic signal, enhance discovery and identify associations between underlying phenotypic structure and health outcomes. In building a deeper understanding of ways in which constructs such as socioeconomic status, trauma, or physical activity are structured in the dataset, we emphasize the importance of considering the interwoven nature of the human phenome when evaluating public health patterns.