Papers

61

MUSSEL: enhanced Bayesian polygenic risk prediction leveraging information across multiple ancestry groups

Jin Jin, Jianan Zhan, Jingning Zhang, Ruzhang Zhao, Jared O’Connell, Yunxuan Jiang, Stella Aslibekyan, Adam Auton, Elizabeth Babalola, Robert K Bell, Jessica Bielenberg, Katarzyna Bryc, Emily Bullis, Daniella Coker, Gabriel Cuellar Partida, Devika Dhamija, Sayantan Das, Sarah L Elson, Nicholas Eriksson, Teresa Filshtein, Alison Fitch, Kipper Fletez-Brant, Pierre Fontanillas, Will Freyman, Julie M Granka, Karl Heilbron, Alejandro Hernandez, Barry Hicks, David A Hinds, Ethan M Jewett, Katelyn Kukar, Alan Kwong, Keng-Han Lin, Bianca A Llamas, Maya Lowe, Jey C McCreight, Matthew H McIntyre, Steven J Micheletti, Meghan E Moreno, Priyanka Nandakumar, Dominique T Nguyen, Elizabeth S Noblin, Aaron A Petrakovitz, G David Poznik, Alexandra Reynoso, Morgan Schumacher, Anjali J Shastri, Janie F Shelton, Jingchunzi Shi, Suyash Shringarpure, Qiaojuan Jane Su, Susana A Tat, Christophe Toukam Tchakouté, Vinh Tran, Joyce Y Tung, Xin Wang, Wei Wang, Catherine H Weldon, Peter Wilton, Corinna D Wong, Steven Buyske, Christopher Gignoux, Christopher Haiman, Eimear E Kenny, Charles Kooperberg, Kari North, Bertram L Koelsch, Genevieve Wojcik, Haoyu Zhang, Nilanjan Chatterjee

Cell Genomics (2024)

Summary: Cross ancestry polygenic risk prediction

Links: Cell Genomics


60

Prospective analysis of incident disease among individuals of diverse ancestries using genetic and conventional risk factors

Wei Wang, Nicholas Eriksson, Matthew McIntyre, Rafaela Bagur Quetglas, Bertram L Koelsch, David A Hinds, Stella Aslibekyan, Adam Auton, Michael V Holmes, Suyash S Shringarpure

medRxiv (2023)

Summary: Genetics and incident disease risk

Links: medRxiv


59

Genome-wide association study identifies 48 common genetic variants associated with handedness

Gabriel Cuellar-Partida, Joyce Y. Tung, N. Eriksson, Eva Albrecht, Fazil Aliev, Ole A. Andreassen, Inês Barroso, Jacques S. Beckmann, Marco P. Boks, Dorret I. Boomsma, Heather A. Boyd, Monique M. B. Breteler, Harry Campbell, Daniel I. Chasman, Lynn F. Cherkas, Gail Davies, Eco J. C. de Geus, Ian J. Deary, Panos Deloukas, Danielle M. Dick, David L. Duffy, Johan G. Eriksson, Tõnu Esko, Bjarke Feenstra, Frank Geller, Christian Gieger, Ina Giegling, Scott D. Gordon, Jiali Han, Thomas F. Hansen, Annette M. Hartmann, Caroline Hayward, Kauko Heikkilä, Andrew A. Hicks, Joel N. Hirschhorn, Jouke-Jan Hottenga, Jennifer E. Huffman, Liang-Dar Hwang, M. Arfan Ikram, Jaakko Kaprio, John P. Kemp, Kay-Tee Khaw, Norman Klopp, Bettina Konte, Zoltan Kutalik, Jari Lahti, Xin Li, Ruth J. F. Loos, Michelle Luciano, Sigurdur H. Magnusson, Massimo Mangino, Pedro Marques-Vidal, Nicholas G. Martin, Wendy L. McArdle, Mark I. McCarthy, Carolina Medina-Gomez, Mads Melbye, Scott A. Melville, Andres Metspalu, Lili Milani, Vincent Mooser, Mari Nelis, Dale R. Nyholt, Kevin S. O’Connell, Roel A. Ophoff, Cameron Palmer, Aarno Palotie, Teemu Palviainen, Guillaume Pare, Lavinia Paternoster, Leena Peltonen, Brenda W. J. H. Penninx, Ozren Polasek, Peter P. Pramstaller, Inga Prokopenko, Katri Raikkonen, Samuli Ripatti, Fernando Rivadeneira, Igor Rudan, Dan Rujescu, Johannes H. Smit, George Davey Smith, Jordan W. Smoller, Nicole Soranzo, Tim D. Spector, Beate St Pourcain, John M. Starr, Hreinn Stefánsson, Stacy Steinberg, Maris Teder-Laving, Gudmar Thorleifsson, Kári Stefánsson, Nicholas J. Timpson, André G. Uitterlinden, Cornelia M. van Duijn, Frank J. A. van Rooij, Jaqueline M. Vink, Peter Vollenweider, Eero Vuoksimaa, Gérard Waeber, Nicholas J. Wareham, Nicole Warrington, Dawn Waterworth, Thomas Werge, H.-Erich Wichmann, Elisabeth Widen, Gonneke Willemsen, Alan F. Wright, Margaret J. Wright, Mousheng Xu, Jing Hua Zhao, Peter Kraft, David A. Hinds, Cecilia M. Lindgren, Reedik Mägi, Benjamin M. Neale, David M. Evans, and Sarah E. Medland

Nature Human Behaviour (2020)

Summary: A huge GWAS of handedness

Links: Nature Human Behaviour bioarxiv


58

Inferring Multidimensional Rates of Aging from Cross-Sectional Data

E. Pierson, P.W. Koh, T. Hashimoto, D. Koller, J. Leskovec, N. Eriksson, and P. Liang

Proc Mach Learn Res. 2019 Apr; 89: 97–107.

Summary: Machine learning for inferring rates of aging

Links: PMC


57

Self-report data as a tool for subtype identification in genetically-defined Parkinson’s disease

A.R. Winslow, C.L. Hyde, J.B. Wilk, N. Eriksson, P. Cannon, M.R. Miller, W.D. Hirst

Scientific Reports volume 8, Article number: 12992 (2018)

Summary: Validation of self-reported PD data

Links: Scientific Reports


56

Analysis of shared heritability in common disorders of the brain

Verneri Anttila, Brendan Bulik-Sullivan, Hilary K Finucane, Raymond K Walters, Jose Bras, Laramie Duncan, Valentina Escott-Price, Guido J Falcone, Padhraig Gormley, Rainer Malik, Nikolaos A Patsopoulos, Stephan Ripke, Zhi Wei, Dongmei Yu, Phil H Lee, Patrick Turley, Benjamin Grenier-Boley, Vincent Chouraki, Yoichiro Kamatani, Claudine Berr, Luc Letenneur, Didier Hannequin, Philippe Amouyel, Anne Boland, Jean-François Deleuze, Emmanuelle Duron, Badri N Vardarajan, Christiane Reitz, Alison M Goate, Matthew J Huentelman, M Ilyas Kamboh, Eric B Larson, Ekaterina Rogaeva, Peter St George-Hyslop, Hakon Hakonarson, Walter A Kukull, Lindsay A Farrer, Lisa L Barnes, Thomas G Beach, F Yesim Demirci, Elizabeth Head, Christine M Hulette, Gregory A Jicha, John SK Kauwe, Jeffrey A Kaye, James B Leverenz, Allan I Levey, Andrew P Lieberman, Vernon S Pankratz, Wayne W Poon, Joseph F Quinn, Andrew J Saykin, Lon S Schneider, Amanda G Smith, Joshua A Sonnen, Robert A Stern, Vivianna M Van Deerlin, Linda J Van Eldik, Denise Harold, Giancarlo Russo, David C Rubinsztein, Anthony Bayer, Magda Tsolaki, Petra Proitsi, Nick C Fox, Harald Hampel, Michael J Owen, Simon Mead, Peter Passmore, Kevin Morgan, Markus M Nöthen, Jonathan M Schott, Martin Rossor, Michelle K Lupton, Per Hoffmann, Johannes Kornhuber, Brian Lawlor, Andrew Mcquillin, Ammar Al-Chalabi, Joshua C Bis, Agustin Ruiz, Mercè Boada, Sudha Seshadri, Alexa Beiser, Kenneth Rice, Sven J van der Lee, Philip L De Jager, Daniel H Geschwind, Matthias Riemenschneider, Steffi Riedel-Heller, Jerome I Rotter, Gerhard Ransmayr, Bradley T Hyman, Carlos Cruchaga, Montserrat Alegret, Bendik Winsvold, Priit Palta, Kai-How Farh, Ester Cuenca-Leon, Nicholas Furlotte, Tobias Kurth, Lannie Ligthart, Gisela M Terwindt, Tobias Freilinger, Caroline Ran, Scott D Gordon, Guntram Borck, Hieab HH Adams, Terho Lehtimäki, Juho Wedenoja, Julie E Buring, Markus Schürks, Maria Hrafnsdottir, Jouke-Jan Hottenga, Brenda Penninx, Ville Artto, Mari Kaunisto, Salli Vepsäläinen, Nicholas G Martin, Grant W Montgomery, Mitja I Kurki, Eija Hämäläinen, Hailiang Huang, Jie Huang, Cynthia Sandor, Caleb Webber, Bertram Muller-Myhsok, Stefan Schreiber, Veikko Salomaa, Elizabeth Loehrer, Hartmut Göbel, Alfons Macaya, Patricia Pozo-Rosich, Thomas Hansen, Thomas Werge, Jaakko Kaprio, Andres Metspalu, Christian Kubisch, Michel D Ferrari, Andrea C Belin, Arn MJM van den Maagdenberg, John-Anker Zwart, Dorret Boomsma, N. Eriksson, Jes Olesen, Daniel I Chasman, Dale R Nyholt, Richard Anney, Andreja Avbersek, Larry Baum

Science 22 Jun 2018: Vol. 360, Issue 6395, eaap8757

Summary: Genetic sharing between 25 disorders of the brain

Links: Science


55

Genome-wide association meta-analysis highlights light-induced signaling as a driver for refractive error

Milly S Tedja, Robert Wojciechowski, Pirro G Hysi, N. Eriksson, Nicholas A Furlotte, Virginie JM Verhoeven, Adriana I Iglesias, Magda A Meester-Smoor, Stuart W Tompson, Qiao Fan, Anthony P Khawaja, Ching-Yu Cheng, René Höhn, Kenji Yamashiro, Adam Wenocur, Clare Grazal, Toomas Haller, Andres Metspalu, Juho Wedenoja, Jost B Jonas, Ya Xing Wang, Jing Xie, Paul Mitchell, Paul J Foster, Barbara EK Klein, Ronald Klein, Andrew D Paterson, S Mohsen Hosseini, Rupal L Shah, Cathy Williams, Yik Ying Teo, Yih Chung Tham, Preeti Gupta, Wanting Zhao, Yuan Shi, Woei-Yuh Saw, E-Shyong Tai, Xue Ling Sim, Jennifer E Huffman, Ozren Polašek, Caroline Hayward, Goran Bencic, Igor Rudan, James F Wilson, Peter K Joshi, Akitaka Tsujikawa, Fumihiko Matsuda, Kristina N Whisenhunt, Tanja Zeller, Peter J van der Spek, Roxanna Haak, Hanne Meijers-Heijboer, Elisabeth M van Leeuwen, Sudha K Iyengar, Jonathan H Lass, Albert Hofman, Fernando Rivadeneira, André G Uitterlinden, Johannes R Vingerling, Terho Lehtimäki, Olli T Raitakari, Ginevra Biino, Maria Pina Concas, Tae-Hwi Schwantes-An, Robert P Igo, Gabriel Cuellar-Partida, Nicholas G Martin, Jamie E Craig, Puya Gharahkhani, Katie M Williams, Abhishek Nag, Jugnoo S Rahi, Phillippa M Cumberland, Cécile Delcourt, Céline Bellenguez, Janina S Ried, Arthur A Bergen, Thomas Meitinger, Christian Gieger, Tien Yin Wong, Alex W Hewitt, David A Mackey, Claire L Simpson, Norbert Pfeiffer, Olavi Pärssinen, Paul N Baird, Veronique Vitart, Najaf Amin, Cornelia M van Duijn, Joan E Bailey-Wilson, Terri L Young, Seang-Mei Saw, Dwight Stambolian, Stuart MacGregor, Jeremy A Guggenheim, Joyce Y Tung, Christopher J Hammond, Caroline CW Klaver

Nat Genet. 2018; 50, 834-–848

Summary: 161 loci for refractive error in a multi-ethnic cohort

Links: PMC Nature Genetics


54

Genome-wide association analyses identify 44 risk variants and refine the genetic architecture of major depression

N.R. Wray, S. Ripke, M. Mattheisen, M. Trzaskowski, E.M. Byrne, A. Abdellaoui, M.J. Adams, E. Agerbo, T.M. Air, T.MF Andlauer, S-A. Bacanu, M. Bækvad-Hansen, A.FT Beekman, T.B. Bigdeli, E.B. Binder, D.RH Blackwood, J. Bryois, H.N Buttenschøn, J. Bybjerg-Grauholm, N. Cai, E. Castelao, J.H. Christensen, T-K Clarke, J.IR Coleman, L. Colodro-Conde, B. Couvy-Duchesne, N. Craddock, G.E. Crawford, C.A. Crowley, H.S. Dashti, G. Davies, I.J. Deary, F. Degenhardt, E.M. Derks, N. Direk, C.V. Dolan, E.C. Dunn, T.C. Eley, N. Eriksson, V. Escott-Price, F.H. Farhadi Kiadeh, H.K. Finucane, A.J Forstner, J. Frank, H.A. Gaspar, M. Gill, P. Giusti-Rodríguez, F.S. Goes, S.D. Gordon, J. Grove, L.S. Hall, E. Hannon, C.S. Hansen, T.F. Hansen, S. Herms, I.B. Hickie, P. Hoffmann, G. Homuth, C. Horn, J-J Hottenga, D.M. Hougaard, M. Hu, C.L. Hyde, M. Ising, R. Jansen, F. Jin, E. Jorgenson, J.A. Knowles, I.S. Kohane, J. Kraft, W.W. Kretzschmar, J. Krogh, Z. Kutalik, J.M. Lane, Y. Li, Y. Li, P.A. Lind, X. Liu, L. Lu, D.J. MacIntyre, D.F. MacKinnon, R.M. Maier, W. Maier, J. Marchini, H. Mbarek, P. McGrath, P. McGuffin, S.E. Medland, D. Mehta, C.M. Middeldorp, E. Mihailov, Y. Milaneschi, L. Milani, J. Mill, F.M. Mondimore, G.W. Montgomery, S. Mostafavi, N. Mullins, M. Nauck, B. Ng, M.G. Nivard, D.R. Nyholt, P.F. O’Reilly, H. Oskarsson, M.J. Owen, J.N. Painter, C.B. Pedersen, M.G. Pedersen, R.E. Peterson, E. Pettersson, W.J. Peyrot, G. Pistis, D. Posthuma, S.M. Purcell, J.A. Quiroz, P. Qvist, J.P. Rice, B.P. Riley, M. Rivera, S.S. Mirza, R. Saxena, R. Schoevers, E.C. Schulte, L. Shen, J. Shi, S.I. Shyn, E. Sigurdsson, G.BC Sinnamon, J.H. Smit, D.J. Smith, H. Stefansson, S. Steinberg, C.A. Stockmeier, F. Streit, J. Strohmaier, K.E. Tansey, H. Teismann, A. Teumer, W. Thompson, P.A. Thomson, T.E. Thorgeirsson, C. Tian, M. Traylor, J. Treutlein, V. Trubetskoy, A.G. Uitterlinden, D. Umbricht, S. Van der Auwera, A.M. van Hemert, A. Viktorin

Nat Genet. 2018; 50, 668--681

Summary: 44 loci for major depression

Links: Nature Genetics bioRxiv


53

Genome-wide association and HLA region fine-mapping studies identify susceptibility loci for multiple common infections

C. Tian, B.S. Hromatka, A.K. Kiefer, N. Eriksson, S. Noble, J.Y. Tung, D.A. Hinds

Nat Commun. 2017; 8; 599

Summary: Many links between the HLA and infectious disease

Links: Nature Communications bioRxiv


52

A genetic investigation of sex bias in the prevalence of attention deficit hyperactivity disorder

J. Martin, R.K. Walters, D. Demontis, M. Mattheisen, S.H. Lee, E. Robinson, I. Brikell, L. Ghirardi, H. Larsson, P. Lichtenstein, N. Eriksson, 23andMe Research Team, Psychiatric Genomics Consortium: ADHD Subgroup, iPSYCH-Broad ADHD Workgroup, T. Werge, P.B. Mortensen, M.G. Pedersen, O. Mors, M. Nordentoft, D.M. Hougaard, J. Bybjerg-Grauholm, N. Wray, B. Franke, S.V. Faraone, M.C. O'Donovan, A. Thapar, A.D. Børglum, B.M. Neale

bioRxiv (2017)

Summary: Similar polygenic ADHD burden across sex.

Links: bioRxiv


51

Discovery Of The First Genome-Wide Significant Risk Loci For ADHD

D. Demontis, R.K. Walters, J. Martin, M. Mattheisen, T.D. Als, E. Agerbo, R. Belliveau, J. Bybjerg-Grauholm, M. Bækved-Hansen, F. Cerrato, K. Chambert, C. Churchhouse, A. Dumont, N. Eriksson, M. Gandal, J. Goldstein, J. Grove, C.S. Hansen, M. Hauberg, M. Hollegaard, D.P. Howrigan, H. Huang, J. Maller, A.R. Martin, J. Moran, J. Pallesen, D.S. Palmer, C.B. Pedersen, M.G. Pedersen, T. Poterba, J.B. Poulsen, S. Ripke, E.B. Robinson, F.K. Satterstrom, C. Stevens, P. Turley, H. Won, ADHD Working Group of the Psychiatric Genomics Con, Early Lifecourse and Genetic Epidemiology (EAGLE), 23andMe Research Team, O.A. Andreassen, C. Burton, D. Boomsma, B. Cormand, S. Dalsgaard, B. Franke, J. Gelernter, D. Geschwind, H. Hakonarson, J. Haavik, H. Kranzler, J. Kuntsi, K. Langley, K-P. Lesch, C. Middeldorp, A. Reif, L.A. Rohde, P. Roussos, R. Schachar, P. Sklar, E. Sonuga-Barke, P.F. Sullivan, A. Thapar, J.Y. Tung, I. Waldman, M. Nordentoft, D.M. Hougaard, T. Werge, O. Mors, P.B. Mortensen, M.J. Daly, S.V. Faraone, A.D. Børglum, B.M. Neale

bioRxiv (2017)

Summary: 12 loci for ADHD.

Links: bioRxiv


50

Large scale meta-analysis characterizes genetic architecture for common psoriasis associated variants

L.C. Tsoi, P.E. Stuart, C. Tian, J.E. Gudjonsson, S. Das, M. Zawistowski, E. Ellinghaus, J.N. Barker, V. Chandran, N. Dand, K.C. Duffin, C. Enerbäck, T. Esko, A. Franke, D.D. Gladman, P. Hoffmann, K. Kingo, S. Kõks, G. G. Krueger, H.W. Lim, A. Metspalu, U. Mrowietz, S. Mucha, P. Rahman, A. Reis, T. Tejasvi, R. Trembath, J.J. Voorhees, S. Weidinger, M. Weichenthal, X. Wen, N. Eriksson, H.M. Kang, D.A. Hinds, R.P. Nair, G.R. Abecasis, J.T. Eldera

Nat Commun. 2017; 8: 15382

Summary: 16 new associations with psoriasis

Links: PMC


49

Genome-wide analysis identifies 12 loci influencing human reproductive behavior

N. Barban, R. Jansen, R. de Vlaming, A. Vaez, J.J. Mandemakers, F.C. Tropf, X. Shen, J.F. Wilson, D.I. Chasman, I.M. Nolte, V. Tragante, S.W. van der Laan, JRB Perry, A. Kong, T. S Ahluwalia, E. Albrecht, L. Yerges-Armstrong, G. Atzmon, K. Auro, K. Ayers, A. Bakshi, D. Ben-Avraham, K. Berger, A. Bergman, L. Bertram, L.F. Bielak, G. Bjornsdottir, M. Jan Bonder, L. Broer, M. Bui, C. Barbieri, A. Cavadino, J.E. Chavarro, C. Turman, M. Pina Concas, H.J. Cordell, G. Davies, P. Eibich, N. Eriksson, T. Esko, J. Eriksson, F. Falahi, J.F. Felix, M.A. Fontana, L. Franke, I. Gandin, A.J. Gaskins, C. Gieger, E. P Gunderson, X. Guo, C. Hayward, C. He, E. Hofer, H. Huang, P.K. Joshi, S. Kanoni, R. Karlsson, S. Kiechl, A. Kifley, A. Kluttig, P. Kraft, V. Lagou, C. Lecoeur, J. Lahti, R. Li-Gao, P. A Lind, T. Liu, E. Makalic, C. Mamasoula, L. Matteson, H. Mbarek, P.F. McArdle, G. McMahon, SFW Meddens, E. Mihailov, M. Miller, S.A. Missmer, C. Monnereau, P.J. van der Most, R. Myhre, M.A Nalls, T. Nutile, I. Panagiota Kalafati, E. Porcu, I. Prokopenko, K.B. Rajan, J. Rich-Edwards, C.A. Rietveld, A. Robino, L.M. Rose, R. Rueedi, K.A. Ryan, Y. Saba, D. Schmidt, J.A. Smith, L. Stolk, E. Streeten, A. Tönjes, G. Thorleifsson, S. Ulivi, J. Wedenoja, J. Wellmann, P. Willeit, J. Yao, L. Yengo, J. Hua Zhao, W. Zhao, D.V. Zhernakova, N. Amin, H. Andrews, B. Balkau, N. Barzilai, S. Bergmann, G. Biino, H. Bisgaard, K. Bønnelykke, D. I Boomsma, J.E. Buring, H. Campbell, S. Cappellani, M. Ciullo, S.R. Cox, F. Cucca, D. Toniolo, G. Davey-Smith, I.J. Deary, G. Dedoussis, P. Deloukas, C.M. van Duijn, EJC de Geus, J.G. Eriksson, D.A. Evans, J.D. Faul, C. Felicita Sala, P. Froguel, P. Gasparini, G. Girotto, H-J Grabe, K. Halina Greiser, PJF Groenen, H.G. de Haan, J. Haerting, T.B. Harris, A.C. Heath, K. Heikkilä, A. Hofman, G. Homuth, E.G. Holliday, J. Hopper, E. Hyppönen

Nature Genetics 48, 1462–1472 (2016)

Summary: GWAS of age at first birth / number of children.

Links: Nature Genetics


48

Germline variants predispose to both JAK2 V617F clonal hematopoiesis and myeloproliferative neoplasms

D.A. Hinds, K.E. Barnholt, R.A. Mesa, A.K. Kiefer, C.B. Do, N. Eriksson, J.L. Mountain, U. Francke, J.Y. Tung, H.M. Nguyen, H. Zhang, L. Gojenola, J.L. Zehnder, J. Gotlib

Blood (2016) doi:10.1182/blood-2015-06-652941

Summary: Germline variants predisposing to myeloproliferative neoplasms and to JAK2 V617F clonal hematopoiesis.

Links: Blood


47

Meta-analysis of 375,000 individuals identifies 38 susceptibility loci for migraine

P. Gormley, V. Anttila, B.S. Winsvold, P. Palta, T. Esko, T.H. Pers, K-H. Farh, E. Cuenca-Leon, M. Muona, N.A. Furlotte, T. Kurth, A. Ingason, G. McMahon, L. Ligthart, G.M. Terwindt, M. Kallela, T.M. Freilinger, C. Ran, S.G. Gordon, A.H. Stam, S. Steinberg, G. Borck, M. Koiranen, L. Quaye, H.H.H. Adams, T. Lehtimäki, A-P. Sarin, J. Wedenoja, D.A. Hinds, J.E. Buring, M. Schürks, P.M. Ridker, M.G. Hrafnsdottir, H. Stefansson, S.M. Ring, J-J. Hottenga, B.W.J.H. Penninx, M. Färkkilä, V. Artto, M. Kaunisto, S. Vepsäläinen, R. Malik, A.C. Heath, P.A.F. Madden, N.G. Martin, G.W. Montgomery, M.I. Kurki, M. Kals, R. Mägi, K. Pärn, E. Hämäläinen, H. Huang, A.E. Byrnes, L. Franke, J. Huang, E. Stergiakouli, P.H. Lee, C. Sandor, C. Webber, Z. Cader, B. Muller-Myhsok, S. Schreiber, T. Meitinger, J.G. Eriksson, V. Salomaa, K. Heikkilä, E. Loehrer, A.G. Uitterlinden, A. Hofman, C.M. van Duijn, L. Cherkas, L.M. Pedersen, A. Stubhaug, C.S. Nielsen, M. Männikkö, E. Mihailov, L. Milani, H. Göbel, A-L. Esserlind, A.F. Christensen, T.F. Hansen, T. Werge, V. Anttila, V. Artto, A.C. Belin, D.I. Boomsma, S. Børte, L. Cherkas, A.F. Christensen, B. Cormand, E. Cuenca-Leon, G.D. Smith, M. Dichgans, C. van Duijn, E. Eising, T. Esko, A-L. Esserlind, M. Ferrari, R.R Frants, T. M Freilinger, L. Griffiths, E. Hamalainen, T.F. Hansen, M. Hiekkala, M.A. Ikram, A. Ingason, M-R. Järvelin, R. Kajanne, M. Kallela, J. Kaprio, M. Kaunisto, C. Kubisch, M. Kurki, T. Kurth, L. Launer, T. Lehtimaki, D. Lessel, L. Ligthart, N. Litterman, A.M.J.M.van den Maagdenberg, A. Macaya, R. Malik, M. Mangino, G. McMahon, B. Muller-Myhsok, C. Northover, J. Olesen, L.M. Pedersen, N. Pedersen, D. Posthuma, P. Pozo-Rosich, A. Pressman, L. Quaye, O. Raitakari, M. Schürks, C. Sintas, H. Stefansson, S. Steinberg, D. Strachan, G.M. Terwindt, M. Vila-Pueyo, M. Wessman, B.S. Winsvold, W. Wrenthal, H. Zhao, J-A. Zwart, J. Kaprio, A.J. Aromaa, O. Raitakari, M.A. Ikram, T. Spector, M-R. Järvelin, A. Metspalu, C. Kubisch, D.P. Strachan, M.D. Ferrari, A.C. Belin, M. Dichgans, M. Wessman, A.M.J.M. van den Maagdenberg, J-A. Zwart, D.I. Boomsma, G.D. Smith, K. Stefansson, N. Eriksson, M.J. Daly, B.M. Neale, J. Olesen, D.I. Chasman, D.R. Nyholt, A. Palotie

Nature Genetics (2016) doi:10.1038/ng.3598

Summary: A huge GWAS of migraines.

Links: Nature Genetics


46

GWAS of 89,283 individuals identifies genetic variants associated with self-reporting of being a morning person

Y. Hu, A. Shmygelska, D. Tran, N. Eriksson, J.Y. Tung, D.A. Hinds

Nature Communications 7, Article number: 10448, Feb 2016.

Summary: On the genetics of circadian rhythms

Links: Nature Communications

Press: The Verge


45

Who's Benefiting from MOOCs, and Why

C. Zhenghao, B. Alcorn, G. Christensen, N. Eriksson, D. Koller, E.J. Emanuel

Harvard Business Review, September 22, 2015.

Summary: Among learners who complete courses, MOOCs do have a real impact.

Links: Harvard Business Review

Press: Financial Times USA Today Inc. Chronicle of Higher Education


44

Virtual research visits and direct-to-consumer genetic testing in Parkinson’s disease

E.R. Dorsey, K.C. Darwin, S. Mohammed, S. Donohue, A. Tethal, M.A. Achey, S. Ward, E. Caughey, E.D. Conley, N. Eriksson, B. Ravina

Digital Health, Jun 2015.

Summary: In depth, virtual visits of Parkinson's disease patients.

Links: Digital Health


43

Assessment of the Genetic Basis of Rosacea by Genome-Wide Association Study

A. L. S. Chang, I. Raber, J. Xu, R. Li, R. Spitale, J. Chen, A. K. Kiefer, C. Tian, N. Eriksson, D. A. Hinds, J. Y. Tung

Journal of Investigative Dermatology, March 2015.

Summary: HLA associations with rosacea

Links: JID


42

Escape from crossover interference increases with maternal age

C. L. Campbell, N. A. Furlotte, N. Eriksson, D. A. Hinds, A. Auton

Nature Communications, 6, Feb 2015.

Summary: Analysis of recombination rate and hotspot usage with respect to age.

Links: Nature Communications arxiv


41

Genetic variants associated with motion sickness point to roles for inner ear development, neurological processes, and glucose homeostasis

B. S. Hromatka, J. Y. Tung, A. K. Kiefer, C. B. Do, D. A. Hinds, N. Eriksson

Human Molecular Genetics, 2015.

Summary: The first 35 variants associated with motion sickness.

Links: HMG biorxiv Vox


40

Replicability and Robustness of Genome-Wide-Association Studies for Behavioral Traits

C. A. Rietveld, D. Conley, N. Eriksson, T. Esko, S. E. Medland, A. A. E. Vinkhuyzen, J. Yang, J. D. Boardman, C. F. Chabris, C. T. Dawes, B. W. Domingue, D. A. Hinds, M. Johannesson, A. K. Kiefer, D. Laibson, P. K. E. Magnusson, J. L. Mountain, S. Oskarsson, O. Rostapshova, A. Teumer, J. Y. Tung, P. M. Visscher, D. J. Benjamin, D. Cesarini, P. D. Koellinger

Psychological Science, Nov 2014, vol. 25, no. 11, 1975-1986.

Summary: Replication of educational attainment associations

Links: Psych Sci


39

NeuroX, a Fast and Efficient Genotyping Platform for Investigation of Neurodegenerative Diseases

M. A. Nalls, J. Bras, D. G. Hernandez, M. F. Keller, E. Majounie, A. E. Renton, M. Saad, I. Jansen, R. Guerreiro, S. Lubbe, V. Plagnol, J. R. Gibbs, C. Schulte, N. Pankratz, M. Sutherland, L. Bertram, C. M. Lill, A. L. DeStefano, T. Faroud, N. Eriksson, J. Y. Tung, C. Edsall, N. Nichols, J. Brooks, S. Arepalli, H. Pliner, C. Letson, P. Heutink, M. Martinez, T. Gasser, B. J. Traynor, N. Wood, J. Hardy, A. B. Singleton

Neurobiology of Aging, 4 Aug 2014.

Summary: A cheap genotyping chip for neurodegenerative disease research.

Links: DOI


38

Large-scale meta-analysis of genome-wide association data identifies six new risk loci for Parkinson's disease

M. A. Nalls, N. Pankratz, C. M. Lill, C. B. Do, D. G. Hernandez, M. Saad, A. L. DeStefano, E. Kara, J. Bras, M. Sharma, C. Schulte, M. F. Keller, S. Arepalli, C. Letson, C. Edsall, H. Stefansson, X. Liu, H. Pliner, J. H. Lee, R. Cheng, International Parkinson's Disease Genomics Consortium (IPDGC), Parkinson's Study Group (PSG) Parkinson's Research: The Organized GENetics Initiative (PROGENI), 23andMe, GenePD, NeuroGenetics Research Consortium (NGRC), Hussman Institute of Human Genomics (HIHG), The Ashkenazi Jewish Dataset Investigator, Cohorts for Health and Aging Research in Genetic Epidemiology (CHARGE), North American Brain Expression Consortium (NABEC), United Kingdom Brain Expression Consortium (UKBEC), Greek Parkinson's Disease Consortium, Alzheimer Genetic Analysis Group, M. A. Ikram, J. P. A. Ioannidis, G. M Hadjigeorgiou, J. C. Bis, M. Martinez, J. S. Perlmutter, A. Goate, K. Marder, B. Fiske, M. Sutherland, G. Xiromerisiou, R. H. Myers, L. N. Clark, K. Stefansson, J. A. Hardy, P. Heutink, H. Chen, N. W. Wood, H. Houlden, H. Payami, A. Brice, W. K. Scott, T. Gasser, L. Bertram, N. Eriksson, T. Foroud, A. B. Singleton

Nature Genetics (2014) doi:10.1038/ng.3043

Summary: Six new loci for Parkinson's disease in the largest meta-analysis to date

Links: Nature Genetics


37

Reducing pervasive false positive identical-by-descent segments detected by large-scale pedigree analysis

E. Y. Durand, N. Eriksson, C. Y. McLean

Mol Biol Evol, 30 April 2014.

Summary: Improving the accuracy of germline on short IBD segments

Links: MBE arXiv


36

Genome-wide association analysis identifies 11 risk variants associated with the asthma with hay fever phenotype

M. A. R. Ferreira, M. C. Matheson, C. S. Tang, R. Granell, W. Ang, J. Hui, A. K. Kiefer, D. L. Duffy, S. Baltic, P. Danoy, M. Bui, L. Price, P. D. Sly, N. Eriksson, P. A. Madden, M. J. Abramson, P. G. Holt, A. C. Heath, M. Hunter, B. Musk, C. F. Robertson, P. Le Souef, W. Montgomery, A.J. Henderson, J. Y. Tung, S. C. Dharmage, M. A. Brown, A. James, P. J. Thompson, C. Pennell, N. G. Martin, D. M. Evans, D. A. Hinds, J. L. Hopper

Journal of Allergy and Clinical Immunology, 31 December 2013

Summary: Meta-analysis of hay fever with asthma

Links: JACI ScienceDirect


35

Gradiant Boosting as a SNP filter: an evaluation using simulated and hair morphology data

G. H. Lubke, C. Laurin, R. Walters, N. Eriksson, P. Hysi, T. D. Spector, G. W. Montgomery, D. I. Boomsma, N. G. Martin, and S. E. Medland

Journal of Data Mining in Genomics & Proteomics, 2013, 4:4

Summary: Gradiant boosting applied to GWAS data

Links: pdf


34

A genome-wide association meta-analysis of self-reported allergy identifies shared and allergy-specific susceptibility loci

D. A. Hinds, G. McMahon, A. K. Kiefer, C. B. Do, N. Eriksson, D. M. Evans, B. St Pourcain, S. M. Ring, J. L. Mountain, U. Francke, G. Davey-Smith, N. J. Timpson, and J. Y. Tung

Nat Genet, 2013 June 30.

Summary: Sixteen associations with allergies, eight of them shared with asthma

Links: Nature Genetics


33

Serum iron levels and the risk of Parkinson's disease: a Mendelian randomization study

I. Pichler, F. Del Greco M., M. Gogele, C. M. Lill, L. Bertram, C. B. Do, N. Eriksson, T. Foroud, R. H. Myers, M. Nalls, M. F. Keller, B. Benyamin, J. B. Whitfield, P. P. Pramstaller, A. A. Hicks, J. Thompson, and C. Minelli

PLOS Med. 10(6): e1001462.

Summary: Mendelian randomization study shows that higher iron levels are protective for Parkinson's disease

Links: PLOS


32

Genome-Wide Association Analysis Implicates Elastic Microfibrils in the Development of Nonsyndromic Striae Distensae

J. Y. Tung, A.K. Kiefer, M. Mullins, U. Francke, and N. Eriksson

J Invest Dermatol, 2013 Apr 30

Summary: Variants near the elastin gene influence stretch marks

Links: JID


31

Genome-wide analysis points to roles for extracellular matrix remodeling, the visual cycle, and neuronal development in myopia

A. K. Kiefer, J. Y. Tung, C. B. Do, D. A. Hinds, J. L. Mountain, U. Francke, and N. Eriksson

PLoS Genet., 9(2): e1003299.

Summary: Twenty-two associations for myopia age of onset, many of which are near genes with interesting roles in vision development.

Links: PLoS arXiv


30

Dealing with the unexpected: Consumer responses to direct-access <i>BRCA</i> mutation testing

U. Francke, C. Dijamco, A. K. Kiefer, N. Eriksson, B. R. Moiseff, J. Y. Tung, and J. L. Mountain

PeerJ, 1:e8.

Summary: How do people respond to learning their BRCA status via 23andMe?

Links: PeerJ


29

Androgenetic alopecia: identification of four new genetic risk loci and evidence for the contribution of WNT-signaling to its etiology

S. Heilmann, A. K. Kiefer, N. Fricker, D. Drichel, A. M. Hillmer, C. Herold, J. Y. Tung, N. Eriksson, S. Redler, R. C. Betz, R. Li, A. Karason, D. R. Nyholt, K. Song, S. H. Vermeulen, S. Kanoni, G. Dedoussis, N. G. Martin, L. A. Kiemeney, V. Mooser, K. Stefansson, J. B. Richards, T. Becker, F. F. Brockschmidt, D. A. Hinds, and M. M. Nothen

J Invest Dermatol, 2013 Jan 28.

Summary: Four new loci for male-pattern baldness.

Links: JID


28

A genetic variant near olfactory receptor genes influences cilantro preference

N. Eriksson, S. Wu, C. B. Do, A. K. Kiefer, J. Y. Tung, J. L. Mountain, D. A. Hinds, and U. Francke

Flavour, 1:22, Dec 2012.

Summary: We uncover a cluster of olfactory receptor genes that play a role in cilantro dislike.

Links: Flavour arXiv

Press: Nature NPR Gizmodo BoingBoing MetaFilter Business Insider Huffington Post


27

Comparison of Family History and SNPs for Predicting Risk of Complex Disease

C. B. Do, D. A. Hinds, U. Francke, and N. Eriksson

PLoS Genet., 8(10): e1002973, October 2012.

Summary: We develop models based on quantitative genetic theory to analyze and compare family history and SNP-based risk prediction models.

Links: PLoS

Press: SF Chronicle


26

Genetic variants associated with breast size also influence breast cancer risk

N. Eriksson, G. M. Benton, C. B. Do, A. K. Kiefer, J. L. Mountain, D. A. Hinds, U. Francke, and J. Y. Tung

BMC Med Genet, 13(1):53, Jun 2012

Summary: We discover a number of SNPs associated with breast size. Surprisingly, several are also involved in breast cancer.

Links: BMC

Press: Jezebel Huffington Post The Telegraph


25

Six novel susceptibility Loci for early-onset androgenetic alopecia and their unexpected association with common diseases

R. Li, F. F. Brockschmidt, A. K. Kiefer, H. Stefansson, D. R. Nyholt, K. Song, S. H. Vermeulen, S. Kanoni, D. Glass, S. E. Medland, M. Dimitriou, D. Waterworth, J. Y. Tung, F. Geller, S. Heilmann, A. M. Hillmer, V. Bataille, S. Eigelshoven, S. Hanneken, S. Moebus, C. Herold, M. den Heijer, G. W. Montgomery, P. Deloukas, N. Eriksson, A. C. Heath, T. Becker, P. Sulem, M. Mangino, P. Vollenweider, T. D. Spector, G. Dedoussis, N. G. Martin, L. A. Kiemeney, V. Mooser, K. Stefansson, D. A. Hinds, M. M. Nothen, and J. B. Richards

PLoS Genet., 8(5):e1002746, May 2012.

Summary: A large meta-analysis of male-pattern baldness uncovers unexpected connections with Parkinson's disease

Links: PLoS


24

Novel associations for hypothyroidism include known autoimmune risk loci

N. Eriksson, J. Y. Tung, A. K. Kiefer, D. A. Hinds, U. Francke, J. L. Mountain, and C. B. Do

PLoS ONE, 7(4):e34442, 2012.

Summary: A GWAS for hypothyroidism implicates genes involved in both autoimmune disorders and thyroid function.

Links: PLoS


23

Cryptic distant relatives are common in both isolated and cosmopolitan genetic samples

B. M. Henn, L. Hon, J. M. Macpherson, N. Eriksson, S. Saxonov, I. Pe'er, and J. L. Mountain

PLoS ONE, 7(4):e34267, 2012.

Summary: An analysis of the number of cryptic distant relatives among various populations.

Links: PLoS


22

Efficient replication of over 180 genetic associations with self-reported medical data

J. Y. Tung, C. B. Do, D. A. Hinds, A. K. Kiefer, J. M. Macpherson, A. B. Chowdry, U. Francke, B. T. Naughton, J. L. Mountain, A. Wojcicki, and N. Eriksson

PLoS ONE, 6(8):e23473, 2011.

Summary: Replication of many associations using the 23andMe database.

Links: PLoS


21

Comprehensive research synopsis and systematic meta-analyses in Parkinson's disease genetics: The PDGene database

C. M. Lill, J. T. Roehr, M. B. McQueen, F. K. Kavvoura, S. Bagade, B. M. Schjeide, L. M. Schjeide, E. Meissner, U. Zauft, N. C. Allen, T. Liu, M. Schilling, K. J. Anderson, G. Beecham, D. Berg, J. M. Biernacka, A. Brice, A. L. DeStefano, C. B. Do, N. Eriksson, S. A. Factor, M. J. Farrer, T. Foroud, T. Gasser, T. Hamza, J. A. Hardy, P. Heutink, E. M. Hill-Burns, C. Klein, J. C. Latourelle, D. M. Maraganore, E. R. Martin, M. Martinez, R. H. Myers, M. A. Nalls, N. Pankratz, H. Payami, W. Satake, W. K. Scott, M. Sharma, A. B. Singleton, K. Stefansson, T. Toda, J. Y. Tung, J. Vance, N. W. Wood, C. P. Zabetian, P. Young, R. E. Tanzi, M. J. Khoury, F. Zipp, H. Lehrach, J. P. Ioannidis, and L. Bertram

PLoS Genet., 8(3):e1002548, 2012.

Summary: A comprehensive collection and meta-analysis of all genetic research in Parkinson's disease.

Links: PLoS


20

The temporal order of genetic and pathway alterations in tumorigenesis

M. Gerstung, N. Eriksson, J. Lin, B. Vogelstein, and N. Beerenwinkel

PLoS ONE, 6(11):e27136, 2011.

Summary: Analysis of mutation accumulation in cancer using next-generation sequence data and conjunctive Bayesian networks.

Links: PLoS


19

Web-based genome-wide association study identifies two novel loci and a substantial genetic component for Parkinson's disease

C. B. Do, J. Y. Tung, E. Dorfman, A. K. Kiefer, E. M. Drabant, U. Francke, J. L. Mountain, S. M. Goldman, C. M. Tanner, J. W. Langston, A. Wojcicki, and N. Eriksson

PLoS Genet., 7(6):e1002141, Jun 2011.

Summary:

Links: PLoS

Press: Wired FastCompany WebMD Nature Bloomberg


18

Parametric analysis of alignment and phylogenetic uncertainty

A. S. Malaspinas, N. Eriksson, and P. Huggins

Bull. Math. Biol., 73:795--810, Apr 2011.

Summary: We show how to analyze the robustness of phylogenies to perturbations in alignment parameters.

Links: BMB


17

ShoRAH: estimating the genetic diversity of a mixed sample from next-generation sequencing data

O. Zagordi, A. Bhattacharya, N. Eriksson, and N. Beerenwinkel

BMC Bioinformatics, 12:119, Apr 2011.

Summary:

Links: BMC Software


16

Web-based, participant-driven studies yield novel genetic associations for common traits

N. Eriksson, J. M. Macpherson, J. Y. Tung, L. S. Hon, B. Naughton, S. Saxonov, L. Avey, A. Wojcicki, I. Pe'er, and J. Mountain

PLoS Genet., 6:e1000993, Jun 2010.

Summary: We discover novel genetic associations for hair curl, photic sneeze reflex, freckling, and asparagus metabolite detection.

Links: PLoS

Press: F1000 Nature ABC


15

Using invariants for phylogenetic tree construction

N. Eriksson

In Emerging Applications of Algebraic Geometry, pages 89--108. Springer, New York, 2009.

Summary: A survey of how to use algebraic techniques to solve practical problems in phylogenetics.

Links: arXiv pdf


14

Viral population estimation using pyrosequencing

N. Eriksson, L. Pachter, Y. Mitsuya, S. Y. Rhee, C. Wang, B. Gharizadeh, M. Ronaghi, R. W. Shafer, and N. Beerenwinkel

PLoS Comput. Biol., 4:e1000074, Apr 2008.

Summary: We show how to reconstruct an entire viral population from next-generation sequencing data.

Links: PLoS


13

Sequence editing by Apolipoprotein B RNA-editing catalytic component and epidemiological surveillance of transmitted HIV-1 drug resistance

R. J. Gifford, S. Y. Rhee, N. Eriksson, T. F. Liu, M. Kiuchi, A. K. Das, and R. W. Shafer

AIDS, 22:717--725, Mar 2008.

Summary: We examine APOBEC-mediated editing of HIV-1 and show that this editing is meaningful for the study of drug resistance.

Links:


12

Conjuctive Bayesian networks

N. Beerenwinkel, N. Eriksson, and B. Sturmfels

Bernoulli, 13(4):893--909, 2007.

Summary: A new statistical model for describing the accumulation of events that are constrained in the order of their occurrence, applied to HIV drug resistance.

Links: DOI pdf


11

Apollonian Circle Packings: Number Theory II. Spherical and Hyperbolic Packings

N. Eriksson and J. C. Lagarias

Ramanujan Journal, 14(3):437--469, 2007.

Summary: A study of Apollonian circule packings in spherical and hyperbolic geometries

Links: DOI pdf


10

Metric learning for phylogenetic invariants

N. Eriksson and Y. Yao

ArXiv preprint, 2007.

Summary: A novel use of machine learning to optimize the use of algebraic techniques in phylogenetics.

Links: arXiv


9

Markov bases for noncommutative Fourier analysis of ranked data

P. Diaconis and N. Eriksson

J. Symbolic Comput., 41(2):182--195, 2006.

Summary: A combination of statistics, commutative algebra, and the representation theory of the symmetric group.

Links: DOI


8

Polyhedral conditions for the nonexistence of the MLE for hierarchical log-linear models

N. Eriksson, S. E. Fienberg, A. Rinaldo, and S. Sullivant

J. Symbolic Comput., 41(2):222--233, 2006.

Summary: We give geometric conditions for the existence of the maximum likelihood estimate (MLE) for a hierarchical log-linear model.

Links: DOI


7

Evolution on distributive lattices

N. Beerenwinkel, N. Eriksson, and B. Sturmfels

J Theor Biol, 242(2):409--420, Sep 2006.

Summary: We develop a new mathematical model in order to study the development of HIV drug resistance.

Links: pdf


6

Algebraic combinatorics for computational biology

N. Eriksson

PhD thesis, University of California, Berkeley, 2006.

Summary: My PhD thesis.

Links: pdf


5

Phylogenetic algebraic geometry

N. Eriksson, K. Ranestad, B. Sturmfels, and S. Sullivant

In C. Ciliberto, A. Geramita, B. Harbourne, R-M. Roig, and K. Ranestad, editors, Projective varieties with unexpected properties, pages 237--255. Walter de Gruyter GmbH & Co. KG, Berlin, 2005.

Summary: An introduction to phylogenetics for algebraic geometers.

Links: pdf


4

Ultra-Conserved Elements in Vertebrate and Fly Genomes

M. Drton, N. Eriksson, and G. Leung

In L. Pachter and B. Sturmfels, editors, Algebraic Statistics for Computational Biology, chapter 22, pages 387--402. Cambridge University Press, Cambridge, UK, 2005.

Summary: An analysis of some of the most conserved DNA sequences

Links: pdf


3

Tree Construction using Singular Value Decompsition

N. Eriksson

In L. Pachter and B. Sturmfels, editors, Algebraic Statistics for Computational Biology, chapter 19, pages 347--358. Cambridge University Press, Cambridge, UK, 2005.

Summary: A novel technique for constructing phylogenies using linear algebra.

Links: pdf


2

Toric ideals of homogeneous phylogenetic models

N. Eriksson

In the proceedings of ISSAC 2004, pages 149--154. ACM, New York, 2004.

Summary: An application of some algebraic techniques to a simple problem in phylogenetics.

Links: pdf DOI


1

$q$-series, elliptic curves, and odd values of the partition function

N. Eriksson

International Journal of Mathematics and Mathematical Sciences, 22(1):55--66, 1999

Summary: A number theory paper that uses a bit of technical machinery to find odd values of the partition function. A high-school project that won third place in the Westinghouse Science Talent Search.

Links: pdf

Press: Mathland