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Smith, George Davey

https://orcid.org/0000-0002-1407-8314

Mayo Clinic

University of Bristol

Citations 7

Design and quality control of large-scale two-sample Mendelian randomization studies
Haycock, Philip , Borges, Maria Carolina , Burrows, Kimberley , Harrison, Sean , Burgess, Stephen , Chang, Xuling , Khankari, Nikhil K. , Tsilidis, Kostas K, Gaunt, Tom R. , Hemani, Gibran , Zheng, Jie , Truong, Thérèse , Law, Matthew H. , Mariosa, Daniela , Hung, Rayjean J, Smith, George Davey , Relton, Caroline L. , Martin, Richard M. , Peters, Ulrike , Rice, Terri, Gallinger, Steve, Cornish, Alex J. , Vijayakrishnan, Jayaram , Wrensch, Margaret , Korat, Andres V Ardisson , Wheeler, Bill, Nilsson, Björn , Smith, Caren E. , Riadi, David, Claus, Elizabeth B. , Hosnijeh, Ng, Irene Oi‐Lin , Passow, Jeanette E, Han, Jiali , Schildkraut, Joellen M. , Wiemels, Joseph L. , Yang, Keming , Wu, Lang , Boutron, Marie-Christine, Iles, Mark M. , Stanulla, Martin , Gaudet, Mia M., Lenha, Mobuchon, Camp, Nicki J, Sham, Pak C. , Brennan, Paul , Jenkins, Robert B. , Diskin, Sharon J. , Berndt, Sonja I. , Tsavachidis, Spiridon, Channock, Stephen J., Galesloot, Tessel E. , Haycock, Philip , Harrison, Sean , Chang, Xuling , Zheng, Jie , Law, Matthew H , Birmann, Brenda M , Mariosa, Daniela , Zheng, Wei , Davey Smith, George , Borges, Maria C , Martin, Richard M , Iles, Mark M , Truong, Therese , Lemaître, Rozenn N. , Westra, Jason , Tsilidis, Kostas K, O’Mara, Tracy A. , Spurdle, Amanda B. , Slager, Susan L. , Birmann, Brenda M. , Hosnijeh, Fatemeh Saberi , Amos, Christopher I. , Hung, Rayjean J, Zheng, Wei , Gunter, Marc J. , Tintle, Nathan , Cheng, Iona C. , Jenkins, Mark A. , Sud, Amit , Johansson, Mattias , Norman, Aaron D. , Klein, Alison P. , Clay‐Gilmour, Alyssa , Franke, André , Heng, Chew‐Kiat , Song, Ci , Ellinghaus, Eva , Ostroumova, Evgenia , Vathaire, Florent de , Cugliari, Giovanni , Matullo, Giuseppe , Cerhan, James R. , Passow, Jeanette E. Eckel, Foo, Jia Nee , Liu, Jianjun , Barnholtz‐Sloan, Jill S. , Maris, John M. , Hemminki, Kari , Kiemeney, Lambertus A. , Ámundadóttir, Laufey T. , Stern, Marc‐Henri , Purdue, Mark P. , Bondy, Melissa L. , Guénel, Pascal , Taylor, Philip R. , Gharahkhani, Puya , Ostrom, Quinn T. , Stolzenberg‐Solomon, Rachael Z. , Dorajoo, Rajkumar , Houlston, Richard S. , Enroth, Stefan , Harrison, Tabitha A. , Gyllensten, Ulf B , Vijai, Joseph , Shi, Yufang , Yang, Wenjian , Lin, Yi , Van Den Eeden, Stephen K

International Journal of Epidemiology | February 11, 2023 | Volume: 52 | Issue: 5 | Pages: 1498-1521

10.1093/ije/dyad018 Get It

Abstract Background Mendelian randomization (MR) studies are susceptible to metadata errors (e.g. incorrect specification of the effect allele column) and other analytical issues that can introduce substantial bias into analyses. We developed a quality control (QC) pipeline for the Fatty Acids in Cancer Mendelian Randomization Collaboration (FAMRC) that can be used to identify and correct for such errors. Methods We collated summary association statistics from fatty acid and cancer genome-wide association studies (GWAS) and subjected the collated data to a comprehensive QC pipeline. We identified metadata errors through comparison of study-specific statistics to external reference data sets (the National Human Genome Research Institute-European Bioinformatics Institute GWAS catalogue and 1000 genome super populations) and other analytical issues through comparison of reported to expected genetic effect sizes. Comparisons were based on three sets of genetic variants: (i) GWAS hits for fatty acids, (ii) GWAS hits for cancer and (iii) a 1000 genomes reference set. Results We collated summary data from 6 fatty acid and 54 cancer GWAS. Metadata errors and analytical issues with the potential to introduce substantial bias were identified in seven studies (11.6%). After resolving metadata errors and analytical issues, we created a data set of 219 842 genetic associations with 90 cancer types, generated in analyses of 566 665 cancer cases and 1 622 374 controls. Conclusions In this large MR collaboration, 11.6% of included studies were affected by a substantial metadata error or analytical issue. By increasing the integrity of collated summary data prior to their analysis, our protocol can be used to increase the reliability of downstream MR analyses. Our pipeline is available to other researchers via the CheckSumStats package (https://github.com/MRCIEU/CheckSumStats).
Common and rare variant association analyses in Amyotrophic Lateral Sclerosis identify 15 risk loci with distinct genetic architectures and neuron-specific biology
Rheenen, Wouter van , Spek, Rick van der, Berg, Leonard van den, Hop, Paul , Zwamborn, Ramona, Klein, Niek de , Westra, Harm-Jan , Bakker, Olivier, Shireby, Gemma , Dolzhenko, Egor, Dekker, Annelot, Westeneng, Henk-Jan, Tazelaar, Gijs, Eijk, Kristel van , Kooyman, Maarten , Doherty, Mark, Iacoangeli, Alfredo, Cooper‐Knock, Johnathan , Smith, Bradley , Chandran, Siddharthan , Morrison, Karen, Shaw, Pamela, Hardy, John , Orrell, Richard, Basak, Nazli, Ratti, Antonia, Pinter, Guiseppe Lauria, D'Alfonso, Sandra, Soraru, Gianni, Padovani, Alessandro , Moglia, Cristina, Brunetti, Maura, Canosa, Antonio, Grassano, Maurizio, Nefussy, Beatrice, Nordin, Angelica, Lerner, Yossef, Zabari, Michal, Baloh, Robert, Bell, Shaugn, Vourc'h, Patrick, Corcia, Philippe, Couratier, Philippe, Meininger, Vincent, Salachas, Francois, Pardina, Jesús Mora, Assialioui, Abdelilah , Rojas‐García, Ricardo , Dion, Patrick, Ludolph, Albert, Weishaupt, Jochen, Brenner, David, Freischmidt, Axel , Bensimon, Gilbert , Durr, Alexandra, Payan, Christine, Saker-Delye, Safa, Wood, Nicholas , Rademakers, Rosa, Tittmann, Lukas, Lieb, Wolfgang, Braun, Alice, Hofman, Albert, Cichon, Sven , Traynor, Bryan, Singleton, Andrew, Neto, Miguel Mitne, Ophoff, Roel, Wiedau-Pazos, Martina, Lomen-Hoerth, Catherine, Rödiger, Annekathrin, Jörk, Alexander, Barthel, Tabea, Theele, Erik, Ilse, Berjamin, Stubendorff, Beatrice, Witte, Otto W. , Hübner, Christian, Graff, Caroline , Brylev, Lev, Fominykh, Vera, Demeshonok, Vera, Ataulina, Anastasia , Koritnik, Blaž , Zidar, Janez , Ravnik-Glavač, Metka, Glavač, Damjan, Stević, Zorica, Drory, Vivian, Povedano, Mónica, Henderson, Robert , Furlong, Sarah , McCombe, Pamela, Ngo, Shyuan, Steyn, Frederik, Mather, Karen A. , Sachdev, Perminder S. , Henders, Anjali, Carvalho, Mamede de, Petri, Susanne, Weber, Markus , Glass, Jonathan D. , Brown, Robert, Landers, John, Garton, Fleur, McRae, Allan, Mill, Jonathan , Kenna, Kevin, Runz, Heiko, Franke, Lude , Damme, Philip Van , Gaur, Nayana , Steyn, Frederik J. , Landers, John E. , Westra, Harm-Jan , Steyn, F J , Cichon, Sven , Sachdev, Perminder S , Van Damme, Philip , Hardy, John , Padovani, Alessandro , Graff, Caroline , Spek, Rick A. A. van der , Bakker, Mark K. , Veldink, Jan H. , Vugt, Joke J.F.A. van , Zwamborn, Ramona A.J. , Deelen, Patrick , Hannon, Eilís , Moisse, Matthieu , Baird, Denis A. , Restuadi, Restuadi , Gawor, Klara , Westeneng, Henk‐Jan , Byrne, Ross Patrick , Heverin, Mark , Khleifat, Ahmad Al , Iacoangeli, Alfredo , Shatunov, Aleksey , Ticozzi, Nicola , Gromicho, Marta , Pal, Suvankar , Orrell, Richard W., Sendtner, Michael , Meyer, Thomas , Basak, Nazli A., Kooi, Anneke J. van der , Ratti, Antonia , Fogh, Isabella , Gellera, Cinzia , Corti, Stefania Paola , Cereda, Cristina , Sproviero, Daisy , D’Alfonso, Sandra , Siciliano, Gabriele , Filosto, Massimiliano , Chiò, Adriano , Calvo, Andrea , Moglia, Cristina , Brunetti, Maura , Canosa, Antonio , Grassano, Maurizio , Beghi, Ettore , Pupillo, Elisabetta , Logroscino, Giancarlo , Osmanovic, Alma , Nordin, Angelica , Lerner, Yossef, Zabari, Michal, Gotkine, Marc , Vourc’h, Patrick , Corcia, Philippe , Couratier, Philippe , Millecamps, Stéphanie , Meininger, Vincent, Salachas, François, Ross, Jay P. , Ludolph, Albert, Brice, Alexis , Dürr, Alexandra , Saker-Delye, Safaa, Wood, Nicholas , Topp, Simon , Rademakers, Rosa , Tittmann, Lukas , Franke, André , Ripke, Stephan , Braun, Alice , Kraft, Julia , Whiteman, David C. , Olsen, Catherine M. , Uitterlinden, André G. , Hofman, Albert, Rietschel, Marcella , Nöthen, Markus M. , Amouyel, Philippe , Traynor, Bryan J. , Singleton, Andrew, Cauchi, Ruben J. , Ophoff, Roel A. , Lomen‐Hoerth, Catherine , Deerlin, Vivianna M. Van , Großkreutz, Julian , Rödiger, Annekathrin, Jörk, Alexander, Barthel, Tabea, Theele, Erik, Steinbach, Robert , Hübner, Christian, Fominykh, Vera , Demeshonok, Vera, Rogelj, Boris , Drory, Vivian, Blair, Ian P. , Kiernan, Matthew C. , Benyamin, Beben , Mathers, Susan , Needham, Merrilee , Ngo, Shyuan T. , Nicholson, Garth A. , Pamphlett, Roger , Rowe, Dominic B. , Williams, Kelly L. , Wallace, Leanne M. , Carvalho, Mamede A. de , Pinto, Susana , Petri, Susanne , Rouleau, Guy Armand , Silani, Vincenzo , Curtis, Charles J. C. , Breen, Gerome , Brown, Robert, Shaw, Christopher E. , Andersen, Peter Munch , Groen, Ewout J. N. , Es, Michael A. van , Pasterkamp, R. Jeroen , Fan, Dongsheng , Smith, George Davey , Gaunt, Tom R. , Eberle, Michael A. , McLaughlin, Russell L. , Hardiman, Orla , Wray, Naomi , Tsai, Ellen A. , Runz, Heiko , Al‐Chalabi, Ammar

No container title available | March 18, 2021 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.21203/rs.3.rs-322430/v1 Get It

Abstract Amyotrophic lateral sclerosis (ALS) is a fatal neurodegenerative disease with a life-time risk of 1 in 350 people and an unmet need for disease-modifying therapies. We conducted a cross-ancestry GWAS in ALS including 29,612 ALS patients and 122,656 controls which identified 15 risk loci in ALS. When combined with 8,953 whole-genome sequenced individuals (6,538 ALS patients, 2,415 controls) and the largest cortex-derived eQTL dataset (MetaBrain), analyses revealed locus-specific genetic architectures in which we prioritized genes either through rare variants, repeat expansions or regulatory effects. ALS associated risk loci were shared with multiple traits within the neurodegenerative spectrum, but with distinct enrichment patterns across brain regions and cell-types. Of the environmental and life-style risk factors obtained from literature, Mendelian randomization analyses indicated a causal role for high cholesterol levels. All ALS associated signals combined reveal a role for perturbations in vesicle mediated transport and autophagy, and provide evidence for cell-autonomous disease initiation in glutamatergic neurons.
Circulating Metabolic Biomarkers of Screen-Detected Prostate Cancer in the ProtecT Study
Adams, Charleen D. , Richmond, Rebecca C. , Ferreira, Diana L. Santos , Spiller, Wes , Tan, Vanessa Y. , Würtz, Peter , Donovan, Jenny , Hamdy, Freddie C. , Neal, David E. , Lane, J. Athene , Smith, George Davey , Relton, Caroline L. , Eeles, Rosalind A. , Haiman, Christopher A. , Schumacher, Fredrick R. , Olama, Ali Amin Al , Benlloch, Sara, Muir, Kenneth , Berndt, Sonja I., Conti, David V. , Gapstur, Susan M. , Stevens, Victoria L. , Batra, Jyotsna , Grönberg, Henrik , Pashayan, Nora , Schleutker, Johanna , West, Catharine , Mucci, Lorelei A. , Koutros, Stella , Sørensen, Karina D. , Mæhle, Lovise, Travis, Ruth C. , Rosenstein, Barry S. , Lu, Yong‐Jie , Kibel, Adam S. , Vega, Ana , Stanford, Janet L. , Nordestgaard, Børge G. , Maier, Christiane, Kim, Jeri , John, Esther M. , Teixeira, Manuel R. , Newcomb, Lisa F., Lessel, Davor , Kaneva, Radka , Usmani, Nawaid , Claessens, Frank , Townsend, Paul A. , Dominguez, Manuela Gago, Roobol, Monique J. , Ménégaux, F. , Pandha, Hardev , Thibodeau, Stephen N. , Martin, Richard M. , Teixeira, Manuel R , Vega, Ana , Eeles, Rosalind A , John, Esther M , Donovan, Jenny L , Muir, Kenneth , Schleutker, Johanna , Travis, Ruth C , Pashayan, Nora , Lessel, Davor , Koutros, Stella , Martin, Richard M , Conti, David V , Batra, Jyotsna , Davey Smith, George , Zheng, Jie , Kote‐Jarai, Zsofia , Berndt, Sonja I. , Wiklund, Fredrik E. , Chanock, Stephen Jacob , Tangen, Catherine M. , Clements, Judith A. , Albanes, Demetrius , Wolk, Alicja , Cancel‐Tassin, Géraldine , Hamilton, Robert J , Ingles, Sue A. , Giles, Graham G. , Kogevinas, Manolis , Penney, Kathryn , Park, Jong Y. , Cybulski, Cezary , Brenner, Hermann , Neuhausen, Susan L. , Ruyck, Kim De , Razack, Azad Hassan Abdul , Khaw, Kay‐Tee , Cannon‐Albright, Lisa , Claessens, Frank

Cancer Epidemiology, Biomarkers & Prevention | October 23, 2018 | Volume: 28 | Issue: 1 | Pages: 208-216

10.1158/1055-9965.epi-18-0079 Get It

Abstract Background: Whether associations between circulating metabolites and prostate cancer are causal is unknown. We report on the largest study of metabolites and prostate cancer (2,291 cases and 2,661 controls) and appraise causality for a subset of the prostate cancer–metabolite associations using two-sample Mendelian randomization (MR). Methods: The case–control portion of the study was conducted in nine UK centers with men ages 50–69 years who underwent prostate-specific antigen screening for prostate cancer within the Prostate Testing for Cancer and Treatment (ProtecT) trial. Two data sources were used to appraise causality: a genome-wide association study (GWAS) of metabolites in 24,925 participants and a GWAS of prostate cancer in 44,825 cases and 27,904 controls within the Association Group to Investigate Cancer Associated Alterations in the Genome (PRACTICAL) consortium. Results: Thirty-five metabolites were strongly associated with prostate cancer (P < 0.0014, multiple-testing threshold). These fell into four classes: (i) lipids and lipoprotein subclass characteristics (total cholesterol and ratios, cholesterol esters and ratios, free cholesterol and ratios, phospholipids and ratios, and triglyceride ratios); (ii) fatty acids and ratios; (iii) amino acids; (iv) and fluid balance. Fourteen top metabolites were proxied by genetic variables, but MR indicated these were not causal. Conclusions: We identified 35 circulating metabolites associated with prostate cancer presence, but found no evidence of causality for those 14 testable with MR. Thus, the 14 MR-tested metabolites are unlikely to be mechanistically important in prostate cancer risk. Impact: The metabolome provides a promising set of biomarkers that may aid prostate cancer classification.
Association Between Telomere Length and Risk of Cancer and Non-Neoplastic Diseases
Haycock, Philip , Burgess, Stephen , Nounu, Aayah , Zheng, Jie , Okoli, George N. , Wade, Kaitlin H. , Timpson, Nicholas J. , Evans, David M. , Willeit, Peter , Aviv, Abraham , Gaunt, Tom R. , Hemani, Gibran , Mangino, Massimo , Ellis, Hayley, Kurian, Kathreena M. , Pooley, Karen A. , Eeles, Rosalind A. , Lee, Jeffrey E. , Fang, Shenying , Chen, Wei V., Law, Matthew H. , Bowdler, Lisa, Iles, Mark M. , Worrall, Bradford B. , Markus, Hugh S. , Hung, Rayjean J., Amos, Chris, Thompson, Deborah J. , O’Mara, Tracy A. , Wolpin, Brian M. , Ámundadóttir, Laufey T. , Trichopoulou, Antonia , Onland‐Moret, N. Charlotte , Lund, Eiliv , Canzian, Federico , Severi, Gianluca , Overvad, Kim , Gunter, Marc J. , ­Tumino, ­Rosario , Svenson, Ulrika, Rij, André van, Baas, Annette F., Bown, Matthew J. , Samani, Nilesh J. , t’Hof, Femke N.G. van, Tromp, Gerard , Jones, Gregory T. , Kuivaniemi, Helena , Elmore, James R. , Johansson, Mattias , McKay, James , Scélo, Ghislaine , Carreras‐Torres, Robert , Gaborieau, Valérie , Brennan, Paul , Bracci, Paige M. , Olson, Sara H. , Gallinger, Steven , Li, Donghui , Petersen, Gloria M. , Han, Jiali , Abnet, Christian C. , Freedman, Neal D. , Aben, Katja K.H. , Kiemeney, Lambertus A. , Vermeulen, Sita H. , Walsh, Kyle M. , Wrensch, Margaret , Rice, Terri, Turnbull, Clare , Litchfield, Kevin , Paternoster, Lavinia , Standl, Marie , Mijatovic, Vladan, Sapkota, Yadav , Zondervan, Krina T. , Nyholt, Dale R. , Heel, David A. van , Arking, Dan E. , Ashar, Foram N., Sotoodehnia, Nona, Woo, Daniel , Comeau, Mary E. , Brown, W. Mark , Silverman, Edwin K. , Hokanson, John E. , Hui, Jennie , Thompson, Philip J. , Morrison, Alanna C. , Smith, Nicholas L. , Christiano, Angela M. , Petukhova, Lynn , Betz, Regina C. , Zhang, Xuejun, Zhu, Caihong, Langefeld, Carl D. , Thompson, Susan D. , Wang, Feijie , Fingerlin, Tasha E. , Rotter, Jerome I. , Cotch, Mary Frances , Jensen, Richard A., Munz, Matthias , Dommisch, Henrik , Schäefer, Arne S. , Ollila, Hanna M. , Hillary, Ryan P. , Zeng, Chenjie , Zheng, Wei , Shu, Xiao-Ou , Reis, André , Uebe, Steffen , Hüffmeier, Ulrike , Kawamura, Yoshiya, Otowa, Takeshi , Sasaki, Tsukasa, Dávila, Sonia , Siminovitch, Katherine A. , Bei, Jin‐Xin , Zeng, Yi‐Xin , Chen, Bowang , Franke, Andre, Fischer, Annegret, Ellinghaus, David , Flores, Carlos , Noth, Imre , Ma, Shwu‐Fan , Foo, Jia Nee , Liu, Jianjun , Cox, David G. , Delattre, Olivier , Mirabeau, Olivier , Skibola, Christine F., Tang, Clara Sze-Man , Garcia-Barceló, Mercè, Su, Wen-Hui , Chang, Yu‐Sun , Wade, Tracey , Lee, Chaeyoung , Kubo, Michiaki , Cha, Pei-Chieng , Nakamura, Yusuke, Levy, Daniel , Hunt, S. E., Spector, Tim D. , Soranzo, Nicole , Barr, R. Graham, Kahali, Bratati , Speliotes, Elizabeth K. , Yerges-Armstrong, Laura M. , Cheng, Ching‐Yu , Wong, Tien Yin , Fogh, Isabella , Powell, John , Rice, Kenneth , Relton, Caroline L. , Martin, Richard M. , Smith, George Davey , Hung, Rayjean J. , Bowden, Jack , Yang, Qiong , Spurdle, Amanda B. , Stolzenberg‐Solomon, Rachael Z. , Duell, Eric J. , Neale, Rachel Ε. , Risch, Harvey A. , Klein, Alison P. , Taylor, Philip R. , Maris, John M. , Wiencke, John K. , Abecasis, Gonçalo R. , SanGiovanni, John Paul , Li, Yong , Low, Siew‐Kee , Montgomery, Grant W. , Hunt, Karen A. , Rosand, Jonathan M. , Cho, Michael H. , Ferreira, Manuel A. R. , Felix, Janine F. , Fan, Xing Hua , Xu, Lin , Schwartz, David A. , Han, Fang , Albagha, Omar , Ralston, Stuart H. , Sasaki, Tsukasa, Hibberd, Martin Lloyd , Xie, Gang , Försti, Asta , Landi, Stefano , Ellinghaus, David , Kim, Jong‐Won , Chang, Kai‐Ping , Martin, Nicholas G. , Gordon, Scott D. , Kimura, Masayuki , Hwang, Shih‐Jen , Manichaikul, Ani , Barr, R. Graham, Jonas, Jost B , Lin, Kuang , Amundadottir, Laufey , Kiemeney, Lambertus A , Eeles, Rosalind A , van Heel, David A , Gunter, Marc J , Canzian, Federico , Hung, Rayjean J , O'Mara, Tracy A , Abnet, Christian C , Haycock, Philip , Tumino, Rosario , Han, Jiali , Martin, Richard M , Severi, Gianluca , Reis, André , Zheng, Wei , Rotter, Jerome I , Carreras-Torres, Robert , Law, Matthew H , Davey Smith, George , Johansson, Mattias , Iles, Mark M , Morrison, Alanna C , Rice, Ken , Freedman, Neal D , Foo, Jia Nee , Levy, Daniel , Rice, Kenneth , Sapkota, Yadav , Wong, Tien Y , Liu, Jing

JAMA Oncology | February 27, 2017 | Volume: 3 | Issue: 5 | Pages: 636

10.1001/jamaoncol.2016.5945 Get It

Assessing the role of insulin‐like growth factors and binding proteins in prostate cancer using Mendelian randomization: Genetic variants as instruments for circulating levels
Bonilla, Carolina , Lewis, Sarah J. , Rowlands, Mari‐Anne, Gaunt, Tom R. , Smith, George Davey , Palmer, Tom , Donovan, Jenny , Hamdy, Freddie C. , Neal, David E. , Eeles, Rosalind A. , Easton, Doug , Olama, Ali Amin Al , Benlloch, Sara, Muir, Kenneth , Giles, Graham G. , Grönberg, Henrik , Haiman, Christopher A. , Schleutker, Johanna , Nordestgaard, Børge G. , Travis, Ruth C. , Pashayan, Nora , Stanford, Janet L. , Blot, William J. , Thibodeau, Stephen N. , Maier, Christiane, Kibel, Adam S. , Cannon‐Albright, Lisa , Brenner, Hermann , Kaneva, Radka , Batra, Jyotsna , Teixeira, Manuel R. , Pandha, Hardev , Lathrop, Mark , Martin, Richard M. , Holly, Jeff M.P. , Thibodeau, Stephen, Gunnell, David , Kote‐Jarai, Zsofia , Wiklund, Fredrik E. , Khaw, Kay‐Tee , Cybulski, Cezary , Park, Jong Moon , Giles, Graham G , Teixeira, Manuel R , Eeles, Rosalind A , Donovan, Jenny L , Muir, Kenneth , Schleutker, Johanna , Travis, Ruth C , Pashayan, Nora , Cannon-Albright, Lisa A , Brenner, Hermann , Martin, Richard M , Batra, Jyotsna , Davey Smith, George

International Journal of Cancer | May 26, 2016 | Volume: 139 | Issue: 7 | Pages: 1520-1533

10.1002/ijc.30206 Get It

Circulating insulin‐like growth factors (IGFs) and their binding proteins (IGFBPs) are associated with prostate cancer. Using genetic variants as instruments for IGF peptides, we investigated whether these associations are likely to be causal. We identified from the literature 56 single nucleotide polymorphisms (SNPs) in the IGF axis previously associated with biomarker levels (8 from a genome‐wide association study [GWAS] and 48 in reported candidate genes). In ∼700 men without prostate cancer and two replication cohorts (N ∼ 900 and ∼9,000), we examined the properties of these SNPS as instrumental variables (IVs) for IGF‐I, IGF‐II, IGFBP‐2 and IGFBP‐3. Those confirmed as strong IVs were tested for association with prostate cancer risk, low (< 7) vs. high (≥ 7) Gleason grade, localised vs. advanced stage, and mortality, in 22,936 controls and 22,992 cases. IV analysis was used in an attempt to estimate the causal effect of circulating IGF peptides on prostate cancer. Published SNPs in the IGFBP1/IGFBP3 gene region, particularly rs11977526, were strong instruments for IGF‐II and IGFBP‐3, less so for IGF‐I. Rs11977526 was associated with high (vs. low) Gleason grade (OR per IGF‐II/IGFBP‐3 level‐raising allele 1.05; 95% CI: 1.00, 1.10). Using rs11977526 as an IV we estimated the causal effect of a one SD increase in IGF‐II (∼265 ng/mL) on risk of high vs. low grade disease as 1.14 (95% CI: 1.00, 1.31). Because of the potential for pleiotropy of the genetic instruments, these findings can only causally implicate the IGF pathway in general, not any one specific biomarker.
Blood lipids and prostate cancer: a Mendelian randomization analysis
Bonilla, Carolina , Holly, Jeff M.P. , Perks, Claire M. , Davies, Neil M , Haycock, Philip , Richards, J. Brent , Eeles, Rosalind A. , Easton, Doug , Olama, Ali Amin Al , Benlloch, Sara, MacInnis, Robert J. , Grönberg, Henrik , Haiman, Christopher A. , Schleutker, Johanna , Nordestgaard, Børge G. , Travis, Ruth C. , Neal, David E. , Pashayan, Nora , Stanford, Janet L. , Blot, William J. , Thibodeau, Stephen N. , Maier, Christiane, Kibel, Adam S. , Brenner, Hermann , Park, Jong, Kaneva, Radka , Batra, Jyotsna , Teixeira, Manuel R. , Micheal, Agnieszka, Pandha, Hardev , Smith, George Davey , Lewis, Sarah J. , Martin, Richard M. , Thibodeau, Stephen, Bull, Caroline J. , Yu, Oriana Hoi Yun , Kote‐Jarai, Zsofia , Muir, Kenneth , Giles, Graham G. , Wiklund, Fredrik E. , Khaw, Kay‐Tee , Cybulski, Cezary , Cannon‐Albright, Lisa , Teixeira, Manuel R , Eeles, Rosalind A , Schleutker, Johanna , Travis, Ruth C , Pashayan, Nora , Maclnnis, Robert , Haycock, Philip , Brenner, Hermann , Martin, Richard M , Batra, Jyotsna , Davey Smith, George

Cancer Medicine | March 19, 2016 | Volume: 5 | Issue: 6 | Pages: 1125-1136

10.1002/cam4.695 Get It

AbstractGenetic risk scores were used as unconfounded instruments for specific lipid traits (Mendelian randomization) to assess whether circulating lipids causally influence prostate cancer risk. Data from 22,249 prostate cancer cases and 22,133 controls from 22 studies within the international PRACTICAL consortium were analyzed. Allele scores based on single nucleotide polymorphisms (SNPs) previously reported to be uniquely associated with each of low‐density lipoprotein (LDL), high‐density lipoprotein (HDL), and triglyceride (TG) levels, were first validated in an independent dataset, and then entered into logistic regression models to estimate the presence (and direction) of any causal effect of each lipid trait on prostate cancer risk. There was weak evidence for an association between the LDL genetic score and cancer grade: the odds ratio (OR) per genetically instrumented standard deviation (SD) in LDL, comparing high‐ (≥7 Gleason score) versus low‐grade (<7 Gleason score) cancers was 1.50 (95% CI: 0.92, 2.46; P = 0.11). A genetically instrumented SD increase in TGs was weakly associated with stage: the OR for advanced versus localized cancer per unit increase in genetic risk score was 1.68 (95% CI: 0.95, 3.00; P = 0.08). The rs12916‐T variant in 3‐hydroxy‐3‐methylglutaryl‐CoA reductase (HMGCR) was inversely associated with prostate cancer (OR: 0.97; 95% CI: 0.94, 1.00; P = 0.03). In conclusion, circulating lipids, instrumented by our genetic risk scores, did not appear to alter prostate cancer risk. We found weak evidence that higher LDL and TG levels increase aggressive prostate cancer risk, and that a variant in HMGCR (that mimics the LDL lowering effect of statin drugs) reduces risk. However, inferences are limited by sample size and evidence of pleiotropy.
GWAS of 126,559 Individuals Identifies Genetic Variants Associated with Educational Attainment
Rietveld, Cornelius A. , Medland, Sarah E. , Derringer, Jaime , Esko, Tõnu , Martín, Nicolás W., Westra, Harm-Jan , Shakhbazov, Konstantin, Abdellaoui, Abdel , Albrecht, Eva, Alizadeh, Behrooz Z. , Amin, Najaf , Baumeister, Sebastian E. , Benke, Kelly S. , Bielak, Lawrence F. , Boatman, Jeffrey A. , Boyle, Patricia A. , Davies, Gail , Leeuw, Christiaan de , Eklund, Niina, Evans, Daniel S. , Ferhmann, Rudolf, Fischer, Krista , Gieger, Christian , Gjessing, Håkon K. , Hägg, Sara , Harris, Jennifer R. , Hayward, Caroline , Jacobsson, Bo , Joshi, Peter K. , Jugessur, Astanand , Kaakinen, Marika , Kanoni, Stavroula , Karjalainen, Juha, Kolčić, Ivana , Kristiansson, Kati , Kutalik, Zoltán , Lahti, Jari , Lee, Sang , Lin, Peng, Lind, Penelope A. , Lohman, Kurt, Loitfelder, Marisa, McMahon, George, Marques‐Vidal, Pedro , Meirelles, Osorio , Milani, Lili , Myhre, Ronny , Nuotio, Marja-Liisa , Oldmeadow, Christopher , Petrovic, Katja, Peyrot, Wouter J. , Polašek, Ozren , Quaye, Lydia, Reinmaa, Eva, Rice, John P. , Rizzi, Thais S., Schmidt, Helena , Schmidt, Reinhold, Smith, Albert V. , Smith, Jennifer A. , Terracciano, Antonio , Loos, Matthijs J. H. M. van der, Vitart, Véronique , Völzke, Henry , Wellmann, Jürgen , Yu, Lei , Zhao, Wei , Allïk, Jüri , Bandinelli, Stefania , Bastardot, François , Beauchamp, Jonathan , Bennett, David A. , Berger, Klaus, Bültmann, Ute , Campbell, Harry, Chabris, Christopher F., Cherkas, Lynn, Chung, Mina K. , Cucca, Francesco , Jager, Philip L. De , Neve, Jan-Emmanuel De, Deary, Ian J. , Dedoussis, George , Deloukas, Panos , Dimitriou, Maria , Eiríksdóttir, Guðný , Elderson, Martin F., Eriksson, Johan G. , Evans, David M. , Faul, Jessica D. , Ferrucci, Luigi , Garcia, Melissa E., Grönberg, Henrik , Guðnason, Vilmundur , Harris, Tamara B., Hastie, Nicholas D. , Hernández, Dena , Hoffmann, Wolfgang , Hofman, Adriaan, Holle, Rolf , Holliday, Elizabeth G., Hottenga, Jouke‐Jan , Illig, Thomas, Järvelin, Marjo‐Riitta , Kähönen, Mika , Kaprio, Jaakko , Kirkpatrick, Robert M. , Kowgier, Matthew , Latvala, Antti , Lawlor, Debbie A. , Lehtimäki, Terho , Li, Jingmei , Lichtenstein, Paul , Lichtner, Peter , Liewald, David C. , Madden, Pamela A. F., Magnusson, Patrik K. E. , Mäkinen, Tomi E., Masala, Marco , McGue, Matt , Mielck, Andreas, Miller, Michael B., Montgomery, Grant W. , Mukherjee, Sutapa , Nyholt, Dale R. , Oostra, Ben A., Palmer, Lyle J. , Palotie, Aarno , Perola, Markus, Peyser, Patricia A. , Preisig, Martin , Räikkönen, Katri , Rivadeneira, Fernando , Rudan, Igor , Rustichini, Aldo , Sarin, Antti-Pekka, Schlessinger, David, Scott, Rodney J. , Snieder, Harold , Pourcain, Beaté St , Starr, John M. , Sul, Jae Hoon , Surakka, Ida , Svento, Rauli , Teumer, Alexander , Study, The LifeLines Cohort, Tiemeier, Henning , Rooij, Frank J.A. van , Wagoner, David R. Van , Vartiainen, Erkki , Viikari, Jorma , Vollenweider, Péter , Vonk, Judith M. , Waeber, Gérard , Weir, David R. , Wichmann, H.‐Erich , Widén, Elisabeth , Willemsen, Gonneke , Wright, Alan F., Davey-Smith, George, Franke, Lude , Groenen, Patrick J. F. , Hofman, Albert , Johannesson, Magnus , Kardia, Sharon L. R., Krueger, Robert F., Laibson, David, Martin, Nicholas G. , Meyer, Michelle N., Posthuma, Daniëlle , Thurik, Roy , Timpson, Nicholas J. , Uitterlinden, André G. , Duijn, Cornelia M. van , Visscher, Peter M. , Benjamin, Daniel J. , Cesarini, David , Koellinger, Philipp , Bennett, David A. , Smith, George Davey , Meyer, Michelle N. , Westra, Harm-Jan , Yang, Jian , Agrawal, Arpana , Barnard, John , Holzapfel, Christina M. , Ibrahim‐Verbaas, Carla A. , Ingelsson, Erik , Lin, Peng, Liu, Ching‐Ti , Tanaka, Toshiko , Attia, John , Berger, Klaus, Bierut, Laura Jean , Boomsma, Dorret I , Andrade, Mariza de , Hall, Per N , Harris, Juliette , Heath, Andrew C. , Hofman, Adriaan, Holliday, Elizabeth G., Iacono, William G. , Launer, Lenore J. , Mäkinen, Tomi E., Metspalu, Andres , Palotie, Aarno V. , Penninx, Brenda W.J.H. , Raitakari, Olli Tuomas , Realo, Anu , Ring, Susan M. , Ripatti, Samuli , Salomaa, Veikko , Study, The LifeLines Cohort, Wilson, James Fox , Conley, Dalton , Davey-Smith, George, Smith, Jennifer A , Hottenga, Jouke-Jan , Martin, Nicholas G , Posthuma, Danielle , St Pourcain, Beate , Medland, Sarah E , Li, Jingmei , Teumer, Alexander , van Duijn, Cornelia M , Smith, Albert V , Ferrucci, Luigi , Davey Smith, George , Vonk, Judith M , Kanoni, Stavroula , Surakka, Ida

Science | May 31, 2013 | Volume: 340 | Issue: 6139 | Pages: 1467-1471

10.1126/science.1235488 Get It

Genetic College Many genomic elements in humans are associated with behavior, including educational attainment. In a genome-wide association study including more than 100,000 samples, Rietveld et al. (p. 1467 , published online 30 May; see the Perspective by Flint and Munafò ) looked for genes related to educational attainment in Caucasians. Small genetic effects at three loci appeared to impact educational attainment.