Publications

2019
Jacqueline M Lane, Samuel E Jones, Hassan S Dashti, Andrew R Wood, Krishna G Aragam, Vincent T van Hees, Linn B Strand, Bendik S Winsvold, Heming Wang, Jack Bowden, Yanwei Song, Krunal Patel, Simon G Anderson, Robin N Beaumont, David A Bechtold, Brian E Cade, Mary Haas, Sekar Kathiresan, Max A Little, Annemarie I Luik, Andrew S Loudon, Shaun Purcell, Rebecca C Richmond, Frank AJL Scheer, Barbara Schormair, Jessica Tyrrell, John W Winkelman, Juliane Winkelmann, Kristian Hveem, Chen Zhao, Jonas B Nielsen, Cristen J Willer, Susan Redline, Kai Spiegelhalder, Simon D Kyle, David W Ray, John-Anker Zwart, Ben Brumpton, Timothy M Frayling, Deborah A Lawlor, Martin K Rutter, Michael N Weedon, and Richa Saxena. 2019. “Biological and clinical insights from genetics of insomnia symptoms.” Nat Genet, 51, 3, Pp. 387-393.Abstract
Insomnia is a common disorder linked with adverse long-term medical and psychiatric outcomes. The underlying pathophysiological processes and causal relationships of insomnia with disease are poorly understood. Here we identified 57 loci for self-reported insomnia symptoms in the UK Biobank (n = 453,379) and confirmed their effects on self-reported insomnia symptoms in the HUNT Study (n = 14,923 cases and 47,610 controls), physician-diagnosed insomnia in the Partners Biobank (n = 2,217 cases and 14,240 controls), and accelerometer-derived measures of sleep efficiency and sleep duration in the UK Biobank (n = 83,726). Our results suggest enrichment of genes involved in ubiquitin-mediated proteolysis and of genes expressed in multiple brain regions, skeletal muscle, and adrenal glands. Evidence of shared genetic factors was found between frequent insomnia symptoms and restless legs syndrome, aging, and cardiometabolic, behavioral, psychiatric, and reproductive traits. Evidence was found for a possible causal link between insomnia symptoms and coronary artery disease, depressive symptoms, and subjective well-being.
Anne-Marie Chang, Jeanne F Duffy, Orfeu M Buxton, Jacqueline M Lane, Daniel Aeschbach, Clare Anderson, Andrew C Bjonnes, Sean W Cain, Daniel A Cohen, Timothy M Frayling, Joshua J Gooley, Samuel E Jones, Elizabeth B Klerman, Steven W Lockley, Mirjam Munch, Shantha MW Rajaratnam, Melanie Rueger, Martin K Rutter, Nayantara Santhi, Karine Scheuermaier, Eliza Van Reen, Michael N Weedon, Charles A Czeisler, Frank AJL Scheer, and Richa Saxena. 2019. “Chronotype Genetic Variant in PER2 is Associated with Intrinsic Circadian Period in Humans.” Sci Rep, 9, 1, Pp. 5350.Abstract
The PERIOD2 (PER2) gene is a core molecular component of the circadian clock and plays an important role in the generation and maintenance of daily rhythms. Rs35333999, a missense variant of PER2 common in European populations, has been shown to associate with later chronotype. Chronotype relates to the timing of biological and behavioral activities, including when we sleep, eat, and exercise, and later chronotype is associated with longer intrinsic circadian period (cycle length), a fundamental property of the circadian system. Thus, we tested whether this PER2 variant was associated with circadian period and found significant associations with longer intrinsic circadian period as measured under forced desynchrony protocols, the 'gold standard' for intrinsic circadian period assessment. Minor allele (T) carriers exhibited significantly longer circadian periods when determinations were based on either core body temperature or plasma melatonin measurements, as compared to non-carriers (by 12 and 11 min, respectively; accounting for ~7% of inter-individual variance). These findings provide a possible underlying biological mechanism for inter-individual differences in chronotype, and support the central role of PER2 in the human circadian timing system.
Samuel E Jones, Vincent T van Hees, Diego R Mazzotti, Pedro Marques-Vidal, Séverine Sabia, Ashley van der Spek, Hassan S Dashti, Jorgen Engmann, Desana Kocevska, Jessica Tyrrell, Robin N Beaumont, Melvyn Hillsdon, Katherine S Ruth, Marcus A Tuke, Hanieh Yaghootkar, Seth A Sharp, Yingjie Ji, Jamie W Harrison, Rachel M Freathy, Anna Murray, Annemarie I Luik, Najaf Amin, Jacqueline M Lane, Richa Saxena, Martin K Rutter, Henning Tiemeier, Zoltán Kutalik, Meena Kumari, Timothy M Frayling, Michael N Weedon, Philip R Gehrman, and Andrew R Wood. 2019. “Genetic studies of accelerometer-based sleep measures yield new insights into human sleep behaviour.” Nat Commun, 10, 1, Pp. 1585.Abstract
Sleep is an essential human function but its regulation is poorly understood. Using accelerometer data from 85,670 UK Biobank participants, we perform a genome-wide association study of 8 derived sleep traits representing sleep quality, quantity and timing, and validate our findings in 5,819 individuals. We identify 47 genetic associations at P < 5 × 10, of which 20 reach a stricter threshold of P < 8 × 10. These include 26 novel associations with measures of sleep quality and 10 with nocturnal sleep duration. The majority of identified variants associate with a single sleep trait, except for variants previously associated with restless legs syndrome. For sleep duration we identify a missense variant (p.Tyr727Cys) in PDE11A as the likely causal variant. As a group, sleep quality loci are enriched for serotonin processing genes. Although accelerometer-derived measures of sleep are imperfect and may be affected by restless legs syndrome, these findings provide new biological insights into sleep compared to previous efforts based on self-report sleep measures.
Samuel E Jones, Jacqueline M Lane, Andrew R Wood, Vincent T van Hees, Jessica Tyrrell, Robin N Beaumont, Aaron R Jeffries, Hassan S Dashti, Melvyn Hillsdon, Katherine S Ruth, Marcus A Tuke, Hanieh Yaghootkar, Seth A Sharp, Yingjie Jie, William D Thompson, Jamie W Harrison, Amy Dawes, Enda M Byrne, Henning Tiemeier, Karla V Allebrandt, Jack Bowden, David W Ray, Rachel M Freathy, Anna Murray, Diego R Mazzotti, Philip R Gehrman, Debbie A Lawlor, Timothy M Frayling, Martin K Rutter, David A Hinds, Richa Saxena, and Michael N Weedon. 2019. “Genome-wide association analyses of chronotype in 697,828 individuals provides insights into circadian rhythms.” Nat Commun, 10, 1, Pp. 343.Abstract
Being a morning person is a behavioural indicator of a person's underlying circadian rhythm. Using genome-wide data from 697,828 UK Biobank and 23andMe participants we increase the number of genetic loci associated with being a morning person from 24 to 351. Using data from 85,760 individuals with activity-monitor derived measures of sleep timing we find that the chronotype loci associate with sleep timing: the mean sleep timing of the 5% of individuals carrying the most morningness alleles is 25 min earlier than the 5% carrying the fewest. The loci are enriched for genes involved in circadian regulation, cAMP, glutamate and insulin signalling pathways, and those expressed in the retina, hindbrain, hypothalamus, and pituitary. Using Mendelian Randomisation, we show that being a morning person is causally associated with better mental health but does not affect BMI or risk of Type 2 diabetes. This study offers insights into circadian biology and its links to disease in humans.
Heming Wang, Jacqueline M Lane, Samuel E Jones, Hassan S Dashti, Hanna M Ollila, Andrew R Wood, Vincent T van Hees, Ben Brumpton, Bendik S Winsvold, Katri Kantojärvi, Teemu Palviainen, Brian E Cade, Tamar Sofer, Yanwei Song, Krunal Patel, Simon G Anderson, David A Bechtold, Jack Bowden, Richard Emsley, Simon D Kyle, Max A Little, Andrew S Loudon, Frank AJL Scheer, Shaun M Purcell, Rebecca C Richmond, Kai Spiegelhalder, Jessica Tyrrell, Xiaofeng Zhu, Christer Hublin, Jaakko A Kaprio, Kati Kristiansson, Sonja Sulkava, Tiina Paunio, Kristian Hveem, Jonas B Nielsen, Cristen J Willer, John-Anker Zwart, Linn B Strand, Timothy M Frayling, David Ray, Deborah A Lawlor, Martin K Rutter, Michael N Weedon, Susan Redline, and Richa Saxena. 2019. “Genome-wide association analysis of self-reported daytime sleepiness identifies 42 loci that suggest biological subtypes.” Nat Commun, 10, 1, Pp. 3503.Abstract
Excessive daytime sleepiness (EDS) affects 10-20% of the population and is associated with substantial functional deficits. Here, we identify 42 loci for self-reported daytime sleepiness in GWAS of 452,071 individuals from the UK Biobank, with enrichment for genes expressed in brain tissues and in neuronal transmission pathways. We confirm the aggregate effect of a genetic risk score of 42 SNPs on daytime sleepiness in independent Scandinavian cohorts and on other sleep disorders (restless legs syndrome, insomnia) and sleep traits (duration, chronotype, accelerometer-derived sleep efficiency and daytime naps or inactivity). However, individual daytime sleepiness signals vary in their associations with objective short vs long sleep, and with markers of sleep continuity. The 42 sleepiness variants primarily cluster into two predominant composite biological subtypes - sleep propensity and sleep fragmentation. Shared genetic links are also seen with obesity, coronary heart disease, psychiatric diseases, cognitive traits and reproductive ageing.
Hassan S Dashti, Samuel E Jones, Andrew R Wood, Jacqueline M Lane, Vincent T van Hees, Heming Wang, Jessica A Rhodes, Yanwei Song, Krunal Patel, Simon G Anderson, Robin N Beaumont, David A Bechtold, Jack Bowden, Brian E Cade, Marta Garaulet, Simon D Kyle, Max A Little, Andrew S Loudon, Annemarie I Luik, Frank AJL Scheer, Kai Spiegelhalder, Jessica Tyrrell, Daniel J Gottlieb, Henning Tiemeier, David W Ray, Shaun M Purcell, Timothy M Frayling, Susan Redline, Deborah A Lawlor, Martin K Rutter, Michael N Weedon, and Richa Saxena. 2019. “Genome-wide association study identifies genetic loci for self-reported habitual sleep duration supported by accelerometer-derived estimates.” Nat Commun, 10, 1, Pp. 1100.Abstract
Sleep is an essential state of decreased activity and alertness but molecular factors regulating sleep duration remain unknown. Through genome-wide association analysis in 446,118 adults of European ancestry from the UK Biobank, we identify 78 loci for self-reported habitual sleep duration (p < 5 × 10; 43 loci at p < 6 × 10). Replication is observed for PAX8, VRK2, and FBXL12/UBL5/PIN1 loci in the CHARGE study (n = 47,180; p < 6.3 × 10), and 55 signals show sign-concordant effects. The 78 loci further associate with accelerometer-derived sleep duration, daytime inactivity, sleep efficiency and number of sleep bouts in secondary analysis (n = 85,499). Loci are enriched for pathways including striatum and subpallium development, mechanosensory response, dopamine binding, synaptic neurotransmission and plasticity, among others. Genetic correlation indicates shared links with anthropometric, cognitive, metabolic, and psychiatric traits and two-sample Mendelian randomization highlights a bidirectional causal link with schizophrenia. This work provides insights into the genetic basis for inter-individual variation in sleep duration implicating multiple biological pathways.
Hassan S Dashti, Jordi Merino, Jacqueline M Lane, Yanwei Song, Caren E Smith, Toshiko Tanaka, Nicola M McKeown, Chandler Tucker, Dianjianyi Sun, Traci M Bartz, Ruifang Li-Gao, Hoirun Nisa, Sirimon Reutrakul, Rozenn N Lemaitre, Tahani M Alshehri, Renée de Mutsert, Lydia Bazzano, Lu Qi, Kristen L Knutson, Bruce M Psaty, Dennis O Mook-Kanamori, Vesna Boraska Perica, Marian L Neuhouser, Frank AJL Scheer, Martin K Rutter, Marta Garaulet, and Richa Saxena. 2019. “Genome-wide association study of breakfast skipping links clock regulation with food timing.” Am J Clin Nutr, 110, 2, Pp. 473-484.Abstract
BACKGROUND: Little is known about the contribution of genetic variation to food timing, and breakfast has been determined to exhibit the most heritable meal timing. As breakfast timing and skipping are not routinely measured in large cohort studies, alternative approaches include analyses of correlated traits. OBJECTIVES: The aim of this study was to elucidate breakfast skipping genetic variants through a proxy-phenotype genome-wide association study (GWAS) for breakfast cereal skipping, a commonly assessed correlated trait. METHODS: We leveraged the statistical power of the UK Biobank (n = 193,860) to identify genetic variants related to breakfast cereal skipping as a proxy-phenotype for breakfast skipping and applied several in silico approaches to investigate mechanistic functions and links to traits/diseases. Next, we attempted validation of our approach in smaller breakfast skipping GWAS from the TwinUK (n = 2,006) and the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) consortium (n = 11,963). RESULTS: In the UK Biobank, we identified 6 independent GWAS variants, including those implicated for caffeine (ARID3B/CYP1A1), carbohydrate metabolism (FGF21), schizophrenia (ZNF804A), and encoding enzymes important for N6-methyladenosine RNA transmethylation (METTL4, YWHAB, and YTHDF3), which regulates the pace of the circadian clock. Expression of identified genes was enriched in the cerebellum. Genome-wide correlation analyses indicated positive correlations with anthropometric traits. Through Mendelian randomization (MR), we observed causal links between genetically determined breakfast skipping and higher body mass index, more depressive symptoms, and smoking. In bidirectional MR, we demonstrated a causal link between being an evening person and skipping breakfast, but not vice versa. We observed association of our signals in an independent breakfast skipping GWAS in another British cohort (P = 0.032), TwinUK, but not in a meta-analysis of non-British cohorts from the CHARGE consortium (P = 0.095). CONCLUSIONS: Our proxy-phenotype GWAS identified 6 genetic variants for breakfast skipping, linking clock regulation with food timing and suggesting a possible beneficial role of regular breakfast intake as part of a healthy lifestyle.
Rebecca C Richmond, Emma L Anderson, Hassan S Dashti, Samuel E Jones, Jacqueline M Lane, Linn Beate Strand, Ben Brumpton, Martin K Rutter, Andrew R Wood, Kurt Straif, Caroline L Relton, Marcus Munafò, Timothy M Frayling, Richard M Martin, Richa Saxena, Michael N Weedon, Debbie A Lawlor, and George Davey Smith. 2019. “Investigating causal relations between sleep traits and risk of breast cancer in women: mendelian randomisation study.” BMJ, 365, Pp. l2327.Abstract
OBJECTIVE: To examine whether sleep traits have a causal effect on risk of breast cancer. DESIGN: Mendelian randomisation study. SETTING: UK Biobank prospective cohort study and Breast Cancer Association Consortium (BCAC) case-control genome-wide association study. PARTICIPANTS: 156 848 women in the multivariable regression and one sample mendelian randomisation (MR) analysis in UK Biobank (7784 with a breast cancer diagnosis) and 122 977 breast cancer cases and 105 974 controls from BCAC in the two sample MR analysis. EXPOSURES: Self reported chronotype (morning or evening preference), insomnia symptoms, and sleep duration in multivariable regression, and genetic variants robustly associated with these sleep traits. MAIN OUTCOME MEASURE: Breast cancer diagnosis. RESULTS: In multivariable regression analysis using UK Biobank data on breast cancer incidence, morning preference was inversely associated with breast cancer (hazard ratio 0.95, 95% confidence interval 0.93 to 0.98 per category increase), whereas there was little evidence for an association between sleep duration and insomnia symptoms. Using 341 single nucleotide polymorphisms (SNPs) associated with chronotype, 91 SNPs associated with sleep duration, and 57 SNPs associated with insomnia symptoms, one sample MR analysis in UK Biobank provided some supportive evidence for a protective effect of morning preference on breast cancer risk (0.85, 0.70, 1.03 per category increase) but imprecise estimates for sleep duration and insomnia symptoms. Two sample MR using data from BCAC supported findings for a protective effect of morning preference (inverse variance weighted odds ratio 0.88, 95% confidence interval 0.82 to 0.93 per category increase) and adverse effect of increased sleep duration (1.19, 1.02 to 1.39 per hour increase) on breast cancer risk (both oestrogen receptor positive and oestrogen receptor negative), whereas evidence for insomnia symptoms was inconsistent. Results were largely robust to sensitivity analyses accounting for horizontal pleiotropy. CONCLUSIONS: Findings showed consistent evidence for a protective effect of morning preference and suggestive evidence for an adverse effect of increased sleep duration on breast cancer risk.
Xia Jiang, Hilary K Finucane, Fredrick R Schumacher, Stephanie L Schmit, Jonathan P Tyrer, Younghun Han, Kyriaki Michailidou, Corina Lesseur, Karoline B Kuchenbaecker, Joe Dennis, David V Conti, Graham Casey, Mia M Gaudet, Jeroen R Huyghe, Demetrius Albanes, Melinda C Aldrich, Angeline S Andrew, Irene L Andrulis, Hoda Anton-Culver, Antonis C Antoniou, Natalia N Antonenkova, Susanne M Arnold, Kristan J Aronson, Banu K Arun, Elisa V Bandera, Rosa B Barkardottir, Daniel R Barnes, Jyotsna Batra, Matthias W Beckmann, Javier Benitez, Sara Benlloch, Andrew Berchuck, Sonja I Berndt, Heike Bickeböller, Stephanie A Bien, Carl Blomqvist, Stefania Boccia, Natalia V Bogdanova, Stig E Bojesen, Manjeet K Bolla, Hiltrud Brauch, Hermann Brenner, James D Brenton, Mark N Brook, Joan Brunet, Hans Brunnström, Daniel D Buchanan, Barbara Burwinkel, Ralf Butzow, Gabriella Cadoni, Trinidad Caldés, Maria A Caligo, Ian Campbell, Peter T Campbell, Géraldine Cancel-Tassin, Lisa Cannon-Albright, Daniele Campa, Neil Caporaso, André L Carvalho, Andrew T Chan, Jenny Chang-Claude, Stephen J Chanock, Chu Chen, David C Christiani, Kathleen BM Claes, Frank Claessens, Judith Clements, Margriet J Collée, Marcia Cruz Correa, Fergus J Couch, Angela Cox, Julie M Cunningham, Cezary Cybulski, Kamila Czene, Mary B Daly, Anna DeFazio, Peter Devilee, Orland Diez, Manuela Gago-Dominguez, Jenny L Donovan, Thilo Dörk, Eric J Duell, Alison M Dunning, Miriam Dwek, Diana M Eccles, Christopher K Edlund, Digna Velez R Edwards, Carolina Ellberg, Gareth D Evans, Peter A Fasching, Robert L Ferris, Triantafillos Liloglou, Jane C Figueiredo, Olivia Fletcher, Renée T Fortner, Florentia Fostira, Silvia Franceschi, Eitan Friedman, Steven J Gallinger, Patricia A Ganz, Judy Garber, José A García-Sáenz, Simon A Gayther, Graham G Giles, Andrew K Godwin, Mark S Goldberg, David E Goldgar, Ellen L Goode, Marc T Goodman, Gary Goodman, Kjell Grankvist, Mark H Greene, Henrik Gronberg, Jacek Gronwald, Pascal Guénel, Niclas Håkansson, Per Hall, Ute Hamann, Freddie C Hamdy, Robert J Hamilton, Jochen Hampe, Aage Haugen, Florian Heitz, Rolando Herrero, Peter Hillemanns, Michael Hoffmeister, Estrid Høgdall, Yun-Chul Hong, John L Hopper, Richard Houlston, Peter J Hulick, David J Hunter, David G Huntsman, Gregory Idos, Evgeny N Imyanitov, Sue Ann Ingles, Claudine Isaacs, Anna Jakubowska, Paul James, Mark A Jenkins, Mattias Johansson, Mikael Johansson, Esther M John, Amit D Joshi, Radka Kaneva, Beth Y Karlan, Linda E Kelemen, Tabea Kühl, Kay-Tee Khaw, Elza Khusnutdinova, Adam S Kibel, Lambertus A Kiemeney, Jeri Kim, Susanne K Kjaer, Julia A Knight, Manolis Kogevinas, Zsofia Kote-Jarai, Stella Koutros, Vessela N Kristensen, Jolanta Kupryjanczyk, Martin Lacko, Stephan Lam, Diether Lambrechts, Maria Teresa Landi, Philip Lazarus, Nhu D Le, Eunjung Lee, Flavio Lejbkowicz, Heinz-Josef Lenz, Goska Leslie, Davor Lessel, Jenny Lester, Douglas A Levine, Li Li, Christopher I Li, Annika Lindblom, Noralane M Lindor, Geoffrey Liu, Fotios Loupakis, Jan Lubiński, Lovise Maehle, Christiane Maier, Arto Mannermaa, Loic Le Marchand, Sara Margolin, Taymaa May, Lesley McGuffog, Alfons Meindl, Pooja Middha, Austin Miller, Roger L Milne, Robert J MacInnis, Francesmary Modugno, Marco Montagna, Victor Moreno, Kirsten B Moysich, Lorelei Mucci, Kenneth Muir, Anna Marie Mulligan, Katherine L Nathanson, David E Neal, Andrew R Ness, Susan L Neuhausen, Heli Nevanlinna, Polly A Newcomb, Lisa F Newcomb, Finn Cilius Nielsen, Liene Nikitina-Zake, Børge G Nordestgaard, Robert L Nussbaum, Kenneth Offit, Edith Olah, Ali Amin Al Olama, Olufunmilayo I Olopade, Andrew F Olshan, Håkan Olsson, Ana Osorio, Hardev Pandha, Jong Y Park, Nora Pashayan, Michael T Parsons, Tanja Pejovic, Kathryn L Penney, Wilbert HM Peters, Catherine M Phelan, Amanda I Phipps, Dijana Plaseska-Karanfilska, Miranda Pring, Darya Prokofyeva, Paolo Radice, Kari Stefansson, Susan J Ramus, Leon Raskin, Gad Rennert, Hedy S Rennert, Elizabeth J van Rensburg, Marjorie J Riggan, Harvey A Risch, Angela Risch, Monique J Roobol, Barry S Rosenstein, Mary Anne Rossing, Kim De Ruyck, Emmanouil Saloustros, Dale P Sandler, Elinor J Sawyer, Matthew B Schabath, Johanna Schleutker, Marjanka K Schmidt, Wendy V Setiawan, Hongbing Shen, Erin M Siegel, Weiva Sieh, Christian F Singer, Martha L Slattery, Karina Dalsgaard Sorensen, Melissa C Southey, Amanda B Spurdle, Janet L Stanford, Victoria L Stevens, Sebastian Stintzing, Jennifer Stone, Karin Sundfeldt, Rebecca Sutphen, Anthony J Swerdlow, Eloiza H Tajara, Catherine M Tangen, Adonina Tardon, Jack A Taylor, Dawn M Teare, Manuel R Teixeira, Mary Beth Terry, Kathryn L Terry, Stephen N Thibodeau, Mads Thomassen, Line Bjørge, Marc Tischkowitz, Amanda E Toland, Diana Torres, Paul A Townsend, Ruth C Travis, Nadine Tung, Shelley S Tworoger, Cornelia M Ulrich, Nawaid Usmani, Celine M Vachon, Els Van Nieuwenhuysen, Ana Vega, Miguel Elías Aguado-Barrera, Qin Wang, Penelope M Webb, Clarice R Weinberg, Stephanie Weinstein, Mark C Weissler, Jeffrey N Weitzel, Catharine ML West, Emily White, Alice S Whittemore, H-Erich Wichmann, Fredrik Wiklund, Robert Winqvist, Alicja Wolk, Penella Woll, Michael Woods, Anna H Wu, Xifeng Wu, Drakoulis Yannoukakos, Wei Zheng, Shanbeh Zienolddiny, Argyrios Ziogas, Kristin K Zorn, Jacqueline M Lane, Richa Saxena, Duncan Thomas, Rayjean J Hung, Brenda Diergaarde, James McKay, Ulrike Peters, Li Hsu, Montserrat García-Closas, Rosalind A Eeles, Georgia Chenevix-Trench, Paul J Brennan, Christopher A Haiman, Jacques Simard, Douglas F Easton, Stephen B Gruber, Paul DP Pharoah, Alkes L Price, Bogdan Pasaniuc, Christopher I Amos, Peter Kraft, and Sara Lindström. 2019. “Shared heritability and functional enrichment across six solid cancers.” Nat Commun, 10, 1, Pp. 431.Abstract
Quantifying the genetic correlation between cancers can provide important insights into the mechanisms driving cancer etiology. Using genome-wide association study summary statistics across six cancer types based on a total of 296,215 cases and 301,319 controls of European ancestry, here we estimate the pair-wise genetic correlations between breast, colorectal, head/neck, lung, ovary and prostate cancer, and between cancers and 38 other diseases. We observed statistically significant genetic correlations between lung and head/neck cancer (r = 0.57, p = 4.6 × 10), breast and ovarian cancer (r = 0.24, p = 7 × 10), breast and lung cancer (r = 0.18, p =1.5 × 10) and breast and colorectal cancer (r = 0.15, p = 1.1 × 10). We also found that multiple cancers are genetically correlated with non-cancer traits including smoking, psychiatric diseases and metabolic characteristics. Functional enrichment analysis revealed a significant excess contribution of conserved and regulatory regions to cancer heritability. Our comprehensive analysis of cross-cancer heritability suggests that solid tumors arising across tissues share in part a common germline genetic basis.
2018
Jingjing Liang, Thu H Le, Digna R Velez Edwards, Bamidele O Tayo, Kyle J Gaulton, Jennifer A Smith, Yingchang Lu, Richard A Jensen, Guanjie Chen, Lisa R Yanek, Karen Schwander, Salman M Tajuddin, Tamar Sofer, Wonji Kim, James Kayima, Colin A McKenzie, Ervin Fox, Michael A Nalls, Hunter J Young, Yan V Sun, Jacqueline M Lane, Sylvia Cechova, Jie Zhou, Hua Tang, Myriam Fornage, Solomon K Musani, Heming Wang, Juyoung Lee, Adebowale Adeyemo, Albert W Dreisbach, Terrence Forrester, Pei-Lun Chu, Anne Cappola, Michele K Evans, Alanna C Morrison, Lisa W Martin, Kerri L Wiggins, Qin Hui, Wei Zhao, Rebecca D Jackson, Erin B Ware, Jessica D Faul, Alex P Reiner, Michael Bray, Joshua C Denny, Thomas H Mosley, Walter Palmas, Xiuqing Guo, George J Papanicolaou, Alan D Penman, Joseph F Polak, Kenneth Rice, Ken D Taylor, Eric Boerwinkle, Erwin P Bottinger, Kiang Liu, Neil Risch, Steven C Hunt, Charles Kooperberg, Alan B Zonderman, Cathy C Laurie, Diane M Becker, Jianwen Cai, Ruth JF Loos, Bruce M Psaty, David R Weir, Sharon LR Kardia, Donna K Arnett, Sungho Won, Todd L Edwards, Susan Redline, Richard S Cooper, DC Rao, Jerome I Rotter, Charles Rotimi, Daniel Levy, Aravinda Chakravarti, Xiaofeng Zhu, and Nora Franceschini. 2018. “Correction: Single-trait and multi-trait genome-wide association analyses identify novel loci for blood pressure in African-ancestry populations.” PLoS Genet, 14, 5, Pp. e1007345.Abstract
[This corrects the article DOI: 10.1371/journal.pgen.1006728.].
Naomi R Wray, Stephan Ripke, Manuel Mattheisen, Maciej Trzaskowski, Enda M Byrne, Abdel Abdellaoui, Mark J Adams, Esben Agerbo, Tracy M Air, Till MF Andlauer, Silviu-Alin Bacanu, Marie Bækvad-Hansen, Aartjan FT Beekman, Tim B Bigdeli, Elisabeth B Binder, Douglas RH Blackwood, Julien Bryois, Henriette N Buttenschøn, Jonas Bybjerg-Grauholm, Na Cai, Enrique Castelao, Jane Hvarregaard Christensen, Toni-Kim Clarke, Jonathan IR Coleman, Lucía Colodro-Conde, Baptiste Couvy-Duchesne, Nick Craddock, Gregory E Crawford, Cheynna A Crowley, Hassan S Dashti, Gail Davies, Ian J Deary, Franziska Degenhardt, Eske M Derks, Nese Direk, Conor V Dolan, Erin C Dunn, Thalia C Eley, Nicholas Eriksson, Valentina Escott-Price, Farnush Hassan Farhadi Kiadeh, Hilary K Finucane, Andreas J Forstner, Josef Frank, Héléna A Gaspar, Michael Gill, Paola Giusti-Rodríguez, Fernando S Goes, Scott D Gordon, Jakob Grove, Lynsey S Hall, Eilis Hannon, Christine Søholm Hansen, Thomas F Hansen, Stefan Herms, Ian B Hickie, Per Hoffmann, Georg Homuth, Carsten Horn, Jouke-Jan Hottenga, David M Hougaard, Ming Hu, Craig L Hyde, Marcus Ising, Rick Jansen, Fulai Jin, Eric Jorgenson, James A Knowles, Isaac S Kohane, Julia Kraft, Warren W Kretzschmar, Jesper Krogh, Zoltán Kutalik, Jacqueline M Lane, Yihan Li, Yun Li, Penelope A Lind, Xiaoxiao Liu, Leina Lu, Donald J MacIntyre, Dean F MacKinnon, Robert M Maier, Wolfgang Maier, Jonathan Marchini, Hamdi Mbarek, Patrick McGrath, Peter McGuffin, Sarah E Medland, Divya Mehta, Christel M Middeldorp, Evelin Mihailov, Yuri Milaneschi, Lili Milani, Jonathan Mill, Francis M Mondimore, Grant W Montgomery, Sara Mostafavi, Niamh Mullins, Matthias Nauck, Bernard Ng, Michel G Nivard, Dale R Nyholt, Paul F O'Reilly, Hogni Oskarsson, Michael J Owen, Jodie N Painter, Carsten Bøcker Pedersen, Marianne Giørtz Pedersen, Roseann E Peterson, Erik Pettersson, Wouter J Peyrot, Giorgio Pistis, Danielle Posthuma, Shaun M Purcell, Jorge A Quiroz, Per Qvist, John P Rice, Brien P Riley, Margarita Rivera, Saira Saeed Mirza, Richa Saxena, Robert Schoevers, Eva C Schulte, Ling Shen, Jianxin Shi, Stanley I Shyn, Engilbert Sigurdsson, Grant BC Sinnamon, Johannes H Smit, Daniel J Smith, Hreinn Stefansson, Stacy Steinberg, Craig A Stockmeier, Fabian Streit, Jana Strohmaier, Katherine E Tansey, Henning Teismann, Alexander Teumer, Wesley Thompson, Pippa A Thomson, Thorgeir E Thorgeirsson, Chao Tian, Matthew Traylor, Jens Treutlein, Vassily Trubetskoy, André G Uitterlinden, Daniel Umbricht, Sandra Van der Auwera, Albert M van Hemert, Alexander Viktorin, Peter M Visscher, Yunpeng Wang, Bradley T Webb, Shantel Marie Weinsheimer, Jürgen Wellmann, Gonneke Willemsen, Stephanie H Witt, Yang Wu, Hualin S Xi, Jian Yang, Futao Zhang, Volker Arolt, Bernhard T Baune, Klaus Berger, Dorret I Boomsma, Sven Cichon, Udo Dannlowski, ECJ de Geus, Raymond J DePaulo, Enrico Domenici, Katharina Domschke, Tõnu Esko, Hans J Grabe, Steven P Hamilton, Caroline Hayward, Andrew C Heath, David A Hinds, Kenneth S Kendler, Stefan Kloiber, Glyn Lewis, Qingqin S Li, Susanne Lucae, Pamela FA Madden, Patrik K Magnusson, Nicholas G Martin, Andrew M Mcintosh, Andres Metspalu, Ole Mors, Preben Bo Mortensen, Bertram Müller-Myhsok, Merete Nordentoft, Markus M Nöthen, Michael C O'Donovan, Sara A Paciga, Nancy L Pedersen, Brenda WJH Penninx, Roy H Perlis, David J Porteous, James B Potash, Martin Preisig, Marcella Rietschel, Catherine Schaefer, Thomas G Schulze, Jordan W Smoller, Kari Stefansson, Henning Tiemeier, Rudolf Uher, Henry Völzke, Myrna M Weissman, Thomas Werge, Ashley R Winslow, Cathryn M Lewis, Douglas F Levinson, Gerome Breen, Anders D Børglum, and Patrick F Sullivan. 2018. “Genome-wide association analyses identify 44 risk variants and refine the genetic architecture of major depression.” Nat Genet, 50, 5, Pp. 668-681.Abstract
Major depressive disorder (MDD) is a common illness accompanied by considerable morbidity, mortality, costs, and heightened risk of suicide. We conducted a genome-wide association meta-analysis based in 135,458 cases and 344,901 controls and identified 44 independent and significant loci. The genetic findings were associated with clinical features of major depression and implicated brain regions exhibiting anatomical differences in cases. Targets of antidepressant medications and genes involved in gene splicing were enriched for smaller association signal. We found important relationships of genetic risk for major depression with educational attainment, body mass, and schizophrenia: lower educational attainment and higher body mass were putatively causal, whereas major depression and schizophrenia reflected a partly shared biological etiology. All humans carry lesser or greater numbers of genetic risk factors for major depression. These findings help refine the basis of major depression and imply that a continuous measure of risk underlies the clinical phenotype.
Han Chen, Brian E Cade, Kevin J Gleason, Andrew C Bjonnes, Adrienne M Stilp, Tamar Sofer, Matthew P Conomos, Sonia Ancoli-Israel, Raanan Arens, Ali Azarbarzin, Graeme I Bell, Jennifer E Below, Sung Chun, Daniel S Evans, Ralf Ewert, Alexis C Frazier-Wood, Sina A Gharib, José Haba-Rubio, Erika W Hagen, Raphael Heinzer, David R Hillman, Craig W Johnson, Zoltan Kutalik, Jacqueline M Lane, Emma K Larkin, Seung Ku Lee, Jingjing Liang, Jose S Loredo, Sutapa Mukherjee, Lyle J Palmer, George J Papanicolaou, Thomas Penzel, Paul E Peppard, Wendy S Post, Alberto R Ramos, Ken Rice, Jerome I Rotter, Scott A Sands, Neomi A Shah, Chol Shin, Katie L Stone, Beate Stubbe, Jae Hoon Sul, Mehdi Tafti, Kent D Taylor, Alexander Teumer, Timothy A Thornton, Gregory J Tranah, Chaolong Wang, Heming Wang, Simon C Warby, Andrew D Wellman, Phyllis C Zee, Craig L Hanis, Cathy C Laurie, Daniel J Gottlieb, Sanjay R Patel, Xiaofeng Zhu, Shamil R Sunyaev, Richa Saxena, Xihong Lin, and Susan Redline. 2018. “Multiethnic Meta-Analysis Identifies RAI1 as a Possible Obstructive Sleep Apnea-related Quantitative Trait Locus in Men.” Am J Respir Cell Mol Biol, 58, 3, Pp. 391-401.Abstract
Obstructive sleep apnea (OSA) is a common heritable disorder displaying marked sexual dimorphism in disease prevalence and progression. Previous genetic association studies have identified a few genetic loci associated with OSA and related quantitative traits, but they have only focused on single ethnic groups, and a large proportion of the heritability remains unexplained. The apnea-hypopnea index (AHI) is a commonly used quantitative measure characterizing OSA severity. Because OSA differs by sex, and the pathophysiology of obstructive events differ in rapid eye movement (REM) and non-REM (NREM) sleep, we hypothesized that additional genetic association signals would be identified by analyzing the NREM/REM-specific AHI and by conducting sex-specific analyses in multiethnic samples. We performed genome-wide association tests for up to 19,733 participants of African, Asian, European, and Hispanic/Latino American ancestry in 7 studies. We identified rs12936587 on chromosome 17 as a possible quantitative trait locus for NREM AHI in men (N = 6,737; P = 1.7 × 10) but not in women (P = 0.77). The association with NREM AHI was replicated in a physiological research study (N = 67; P = 0.047). This locus overlapping the RAI1 gene and encompassing genes PEMT1, SREBF1, and RASD1 was previously reported to be associated with coronary artery disease, lipid metabolism, and implicated in Potocki-Lupski syndrome and Smith-Magenis syndrome, which are characterized by abnormal sleep phenotypes. We also identified gene-by-sex interactions in suggestive association regions, suggesting that genetic variants for AHI appear to vary by sex, consistent with the clinical observations of strong sexual dimorphism.
Céline Vetter, Hassan S Dashti, Jacqueline M Lane, Simon G Anderson, Eva S Schernhammer, Martin K Rutter, Richa Saxena, and Frank AJL Scheer. 2018. “Night Shift Work, Genetic Risk, and Type 2 Diabetes in the UK Biobank.” Diabetes Care, 41, 4, Pp. 762-769.Abstract
OBJECTIVE: To examine the effects of past and current night shift work and genetic type 2 diabetes vulnerability on type 2 diabetes odds. RESEARCH DESIGN AND METHODS: In the UK Biobank, we examined associations of current ( = 272,214) and lifetime ( = 70,480) night shift work exposure with type 2 diabetes risk (6,770 and 1,191 prevalent cases, respectively). For 180,704 and 44,141 unrelated participants of European ancestry (4,002 and 726 cases, respectively) with genetic data, we assessed whether shift work exposure modified the relationship between a genetic risk score (comprising 110 single-nucleotide polymorphisms) for type 2 diabetes and prevalent diabetes. RESULTS: Compared with day workers, all current night shift workers were at higher multivariable-adjusted odds for type 2 diabetes (none or rare night shifts: odds ratio [OR] 1.15 [95% CI 1.05-1.26]; some nights: OR 1.18 [95% CI 1.05-1.32]; and usual nights: OR 1.44 [95% CI 1.19-1.73]), except current permanent night shift workers (OR 1.09 [95% CI 0.93-1.27]). Considering a person's lifetime work schedule and compared with never shift workers, working more night shifts per month was associated with higher type 2 diabetes odds (<3/month: OR 1.24 [95% CI 0.90-1.68]; 3-8/month: OR 1.11 [95% CI 0.90-1.37]; and >8/month: OR 1.36 [95% CI 1.14-1.62]; = 0.001). The association between genetic type 2 diabetes predisposition and type 2 diabetes odds was not modified by shift work exposure. CONCLUSIONS: Our findings show that night shift work, especially rotating shift work including night shifts, is associated with higher type 2 diabetes odds and that the number of night shifts worked per month appears most relevant for type 2 diabetes odds. Also, shift work exposure does not modify genetic risk for type 2 diabetes, a novel finding that warrants replication.
2017
Jacqueline M Lane, Jingjing Liang, Irma Vlasac, Simon G Anderson, David A Bechtold, Jack Bowden, Richard Emsley, Shubhroz Gill, Max A Little, Annemarie I Luik, Andrew Loudon, Frank AJL Scheer, Shaun M Purcell, Simon D Kyle, Deborah A Lawlor, Xiaofeng Zhu, Susan Redline, David W Ray, Martin K Rutter, and Richa Saxena. 2017. “Genome-wide association analyses of sleep disturbance traits identify new loci and highlight shared genetics with neuropsychiatric and metabolic traits.” Nat Genet, 49, 2, Pp. 274-281.Abstract
Chronic sleep disturbances, associated with cardiometabolic diseases, psychiatric disorders and all-cause mortality, affect 25-30% of adults worldwide. Although environmental factors contribute substantially to self-reported habitual sleep duration and disruption, these traits are heritable and identification of the genes involved should improve understanding of sleep, mechanisms linking sleep to disease and development of new therapies. We report single- and multiple-trait genome-wide association analyses of self-reported sleep duration, insomnia symptoms and excessive daytime sleepiness in the UK Biobank (n = 112,586). We discover loci associated with insomnia symptoms (near MEIS1, TMEM132E, CYCL1 and TGFBI in females and WDR27 in males), excessive daytime sleepiness (near AR-OPHN1) and a composite sleep trait (near PATJ (INADL) and HCRTR2) and replicate a locus associated with sleep duration (at PAX8). We also observe genetic correlation between longer sleep duration and schizophrenia risk (r = 0.29, P = 1.90 × 10) and between increased levels of excessive daytime sleepiness and increased measures for adiposity traits (body mass index (BMI): r = 0.20, P = 3.12 × 10; waist circumference: r = 0.20, P = 2.12 × 10).
Tamar Sofer, Quenna Wong, Fernando P Hartwig, Kent Taylor, Helen R Warren, Evangelos Evangelou, Claudia P Cabrera, Daniel Levy, Holly Kramer, Leslie A Lange, Bernardo L Horta, Kathleen F Kerr, Alex P Reiner, and Nora Franceschini. 2017. “Genome-Wide Association Study of Blood Pressure Traits by Hispanic/Latino Background: the Hispanic Community Health Study/Study of Latinos.” Sci Rep, 7, 1, Pp. 10348.Abstract
Hypertension prevalence varies between ethnic groups, possibly due to differences in genetic, environmental, and cultural determinants. Hispanic/Latino Americans are a diverse and understudied population. We performed a genome-wide association study (GWAS) of blood pressure (BP) traits in 12,278 participants from the Hispanics Community Health Study/Study of Latinos (HCHS/SOL). In the discovery phase we identified eight previously unreported BP loci. In the replication stage, we tested these loci in the 1982 Pelotas Birth Cohort Study of admixed Southern Brazilians, the COGENT-BP study of African descent, women of European descent from the Women Health Initiative (WHI), and a sample of European descent from the UK Biobank. No loci met the Bonferroni-adjusted level of statistical significance (0.0024). Two loci had marginal evidence of replication: rs78701042 (NGF) with diastolic BP (P = 0.008 in the 1982 Pelotas Birth Cohort Study), and rs7315692 (SLC5A8) with systolic BP (P = 0.007 in European ancestry replication). We investigated whether previously reported loci associated with BP in studies of European, African, and Asian ancestry generalize to Hispanics/Latinos. Overall, 26% of the known associations in studies of individuals of European and Chinese ancestries generalized, while only a single association previously discovered in a people of African descent generalized.
Jingjing Liang, Thu H Le, Digna Velez R Edwards, Bamidele O Tayo, Kyle J Gaulton, Jennifer A Smith, Yingchang Lu, Richard A Jensen, Guanjie Chen, Lisa R Yanek, Karen Schwander, Salman M Tajuddin, Tamar Sofer, Wonji Kim, James Kayima, Colin A McKenzie, Ervin Fox, Michael A Nalls, Hunter J Young, Yan V Sun, Jacqueline M Lane, Sylvia Cechova, Jie Zhou, Hua Tang, Myriam Fornage, Solomon K Musani, Heming Wang, Juyoung Lee, Adebowale Adeyemo, Albert W Dreisbach, Terrence Forrester, Pei-Lun Chu, Anne Cappola, Michele K Evans, Alanna C Morrison, Lisa W Martin, Kerri L Wiggins, Qin Hui, Wei Zhao, Rebecca D Jackson, Erin B Ware, Jessica D Faul, Alex P Reiner, Michael Bray, Joshua C Denny, Thomas H Mosley, Walter Palmas, Xiuqing Guo, George J Papanicolaou, Alan D Penman, Joseph F Polak, Kenneth Rice, Ken D Taylor, Eric Boerwinkle, Erwin P Bottinger, Kiang Liu, Neil Risch, Steven C Hunt, Charles Kooperberg, Alan B Zonderman, Cathy C Laurie, Diane M Becker, Jianwen Cai, Ruth JF Loos, Bruce M Psaty, David R Weir, Sharon LR Kardia, Donna K Arnett, Sungho Won, Todd L Edwards, Susan Redline, Richard S Cooper, DC Rao, Jerome I Rotter, Charles Rotimi, Daniel Levy, Aravinda Chakravarti, Xiaofeng Zhu, and Nora Franceschini. 2017. “Single-trait and multi-trait genome-wide association analyses identify novel loci for blood pressure in African-ancestry populations.” PLoS Genet, 13, 5, Pp. e1006728.Abstract
Hypertension is a leading cause of global disease, mortality, and disability. While individuals of African descent suffer a disproportionate burden of hypertension and its complications, they have been underrepresented in genetic studies. To identify novel susceptibility loci for blood pressure and hypertension in people of African ancestry, we performed both single and multiple-trait genome-wide association analyses. We analyzed 21 genome-wide association studies comprised of 31,968 individuals of African ancestry, and validated our results with additional 54,395 individuals from multi-ethnic studies. These analyses identified nine loci with eleven independent variants which reached genome-wide significance (P < 1.25×10-8) for either systolic and diastolic blood pressure, hypertension, or for combined traits. Single-trait analyses identified two loci (TARID/TCF21 and LLPH/TMBIM4) and multiple-trait analyses identified one novel locus (FRMD3) for blood pressure. At these three loci, as well as at GRP20/CDH17, associated variants had alleles common only in African-ancestry populations. Functional annotation showed enrichment for genes expressed in immune and kidney cells, as well as in heart and vascular cells/tissues. Experiments driven by these findings and using angiotensin-II induced hypertension in mice showed altered kidney mRNA expression of six genes, suggesting their potential role in hypertension. Our study provides new evidence for genes related to hypertension susceptibility, and the need to study African-ancestry populations in order to identify biologic factors contributing to hypertension.
Simon D Kyle, Claire E Sexton, Bernd Feige, Annemarie I Luik, Jacqueline Lane, Richa Saxena, Simon G Anderson, David A Bechtold, William Dixon, Max A Little, David Ray, Dieter Riemann, Colin A Espie, Martin K Rutter, and Kai Spiegelhalder. 2017. “Sleep and cognitive performance: cross-sectional associations in the UK Biobank.” Sleep Med, 38, Pp. 85-91.Abstract
OBJECTIVE: The relationship between insomnia symptoms and cognitive performance is unclear, particularly at the population level. We conducted the largest examination of this association to date through analysis of the UK Biobank, a large population-based sample of adults aged 40-69 years. We also sought to determine associations between cognitive performance and self-reported chronotype, sleep medication use and sleep duration. METHODS: This cross-sectional, population-based study involved 477,529 participants, comprising 133,314 patients with frequent insomnia symptoms (age: 57.4 ± 7.7 years; 62.1% female) and 344,215 controls without insomnia symptoms (age: 56.1 ± 8.2 years; 52.0% female). Cognitive performance was assessed by a touchscreen test battery probing reasoning, basic reaction time, numeric memory, visual memory, and prospective memory. Adjusted models included relevant demographic, clinical, and sleep variables. RESULTS: Frequent insomnia symptoms were associated with cognitive impairment in unadjusted models; however, these effects were reversed after full adjustment, leaving those with frequent insomnia symptoms showing statistically better cognitive performance over those without. Relative to intermediate chronotype, evening chronotype was associated with superior task performance, while morning chronotype was associated with the poorest performance. Sleep medication use and both long (>9 h) and short (<7 h) sleep durations were associated with impaired performance. CONCLUSIONS: Our results suggest that after adjustment for potential confounding variables, frequent insomnia symptoms may be associated with a small statistical advantage, which is unlikely to be clinically meaningful, on simple neurocognitive tasks. Further work is required to examine the mechanistic underpinnings of an apparent evening chronotype advantage in cognitive performance and the impairment associated with morning chronotype, sleep medication use, and sleep duration extremes.
2016
Florian S Eichler, Jiankang Li, Yiran Guo, Paul A Caruso, Andrew C Bjonnes, Jessica Pan, Jessica K Booker, Jacqueline M Lane, Archana Tare, Irma Vlasac, Hakon Hakonarson, James F Gusella, Jianguo Zhang, Brendan J Keating, and Richa Saxena. 2016. “CSF1R mosaicism in a family with hereditary diffuse leukoencephalopathy with spheroids.” Brain, 139, Pt 6, Pp. 1666-72.Abstract
Mutations in the colony stimulating factor 1 receptor (CSF1R) have recently been discovered as causal for hereditary diffuse leukoencephalopathy with axonal spheroids. We identified a novel, heterozygous missense mutation in CSF1R [c.1990G > A p.(E664K)] by exome sequencing in five members of a family with hereditary diffuse leukoencephalopathy with axonal spheroids. Three affected siblings had characteristic white matter abnormalities and presented with progressive neurological decline. In the fourth affected sibling, early progression halted after allogeneic haematopoietic stem cell transplantation from a related donor. Blood spot DNA from this subject displayed chimerism in CSF1R acquired after haematopoietic stem cell transplantation. Interestingly, both parents were unaffected but the mother's blood and saliva were mosaic for the CSF1R mutation. Our findings suggest that expression of wild-type CSF1R in some cells, whether achieved by mosaicism or chimerism, may confer benefit in hereditary diffuse leukoencephalopathy with axonal spheroids and suggest that haematopoietic stem cell transplantation might have a therapeutic role for this disorder.
Brian E Cade, Han Chen, Adrienne M Stilp, Kevin J Gleason, Tamar Sofer, Sonia Ancoli-Israel, Raanan Arens, Graeme I Bell, Jennifer E Below, Andrew C Bjonnes, Sung Chun, Matthew P Conomos, Daniel S Evans, Craig W Johnson, Alexis C Frazier-Wood, Jacqueline M Lane, Emma K Larkin, Jose S Loredo, Wendy S Post, Alberto R Ramos, Ken Rice, Jerome I Rotter, Neomi A Shah, Katie L Stone, Kent D Taylor, Timothy A Thornton, Gregory J Tranah, Chaolong Wang, Phyllis C Zee, Craig L Hanis, Shamil R Sunyaev, Sanjay R Patel, Cathy C Laurie, Xiaofeng Zhu, Richa Saxena, Xihong Lin, and Susan Redline. 2016. “Genetic Associations with Obstructive Sleep Apnea Traits in Hispanic/Latino Americans.” Am J Respir Crit Care Med, 194, 7, Pp. 886-897.Abstract
RATIONALE: Obstructive sleep apnea is a common disorder associated with increased risk for cardiovascular disease, diabetes, and premature mortality. Although there is strong clinical and epidemiologic evidence supporting the importance of genetic factors in influencing obstructive sleep apnea, its genetic basis is still largely unknown. Prior genetic studies focused on traits defined using the apnea-hypopnea index, which contains limited information on potentially important genetically determined physiologic factors, such as propensity for hypoxemia and respiratory arousability. OBJECTIVES: To define novel obstructive sleep apnea genetic risk loci for obstructive sleep apnea, we conducted genome-wide association studies of quantitative traits in Hispanic/Latino Americans from three cohorts. METHODS: Genome-wide data from as many as 12,558 participants in the Hispanic Community Health Study/Study of Latinos, Multi-Ethnic Study of Atherosclerosis, and Starr County Health Studies population-based cohorts were metaanalyzed for association with the apnea-hypopnea index, average oxygen saturation during sleep, and average respiratory event duration. MEASUREMENTS AND MAIN RESULTS: Two novel loci were identified at genome-level significance (rs11691765, GPR83, P = 1.90 × 10 for the apnea-hypopnea index, and rs35424364; C6ORF183/CCDC162P, P = 4.88 × 10 for respiratory event duration) and seven additional loci were identified with suggestive significance (P < 5 × 10). Secondary sex-stratified analyses also identified one significant and several suggestive associations. Multiple loci overlapped genes with biologic plausibility. CONCLUSIONS: These are the first genome-level significant findings reported for obstructive sleep apnea-related physiologic traits in any population. These findings identify novel associations in inflammatory, hypoxia signaling, and sleep pathways.
Jacqueline M Lane, Irma Vlasac, Simon G Anderson, Simon D Kyle, William G Dixon, David A Bechtold, Shubhroz Gill, Max A Little, Annemarie Luik, Andrew Loudon, Richard Emsley, Frank AJL Scheer, Deborah A Lawlor, Susan Redline, David W Ray, Martin K Rutter, and Richa Saxena. 2016. “Genome-wide association analysis identifies novel loci for chronotype in 100,420 individuals from the UK Biobank.” Nat Commun, 7, Pp. 10889.Abstract
Our sleep timing preference, or chronotype, is a manifestation of our internal biological clock. Variation in chronotype has been linked to sleep disorders, cognitive and physical performance, and chronic disease. Here we perform a genome-wide association study of self-reported chronotype within the UK Biobank cohort (n=100,420). We identify 12 new genetic loci that implicate known components of the circadian clock machinery and point to previously unstudied genetic variants and candidate genes that might modulate core circadian rhythms or light-sensing pathways. Pathway analyses highlight central nervous and ocular systems and fear-response-related processes. Genetic correlation analysis suggests chronotype shares underlying genetic pathways with schizophrenia, educational attainment and possibly BMI. Further, Mendelian randomization suggests that evening chronotype relates to higher educational attainment. These results not only expand our knowledge of the circadian system in humans but also expose the influence of circadian characteristics over human health and life-history variables such as educational attainment.

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