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1.  Biological Insights From 108 Schizophrenia-Associated Genetic Loci 
Ripke, Stephan | Neale, Benjamin M | Corvin, Aiden | Walters, James TR | Farh, Kai-How | Holmans, Peter A | Lee, Phil | Bulik-Sullivan, Brendan | Collier, David A | Huang, Hailiang | Pers, Tune H | Agartz, Ingrid | Agerbo, Esben | Albus, Margot | Alexander, Madeline | Amin, Farooq | Bacanu, Silviu A | Begemann, Martin | Belliveau, Richard A | Bene, Judit | Bergen, Sarah E | Bevilacqua, Elizabeth | Bigdeli, Tim B | Black, Donald W | Bruggeman, Richard | Buccola, Nancy G | Buckner, Randy L | Byerley, William | Cahn, Wiepke | Cai, Guiqing | Campion, Dominique | Cantor, Rita M | Carr, Vaughan J | Carrera, Noa | Catts, Stanley V | Chambert, Kimberley D | Chan, Raymond CK | Chan, Ronald YL | Chen, Eric YH | Cheng, Wei | Cheung, Eric FC | Chong, Siow Ann | Cloninger, C Robert | Cohen, David | Cohen, Nadine | Cormican, Paul | Craddock, Nick | Crowley, James J | Curtis, David | Davidson, Michael | Davis, Kenneth L | Degenhardt, Franziska | Del Favero, Jurgen | Demontis, Ditte | Dikeos, Dimitris | Dinan, Timothy | Djurovic, Srdjan | Donohoe, Gary | Drapeau, Elodie | Duan, Jubao | Dudbridge, Frank | Durmishi, Naser | Eichhammer, Peter | Eriksson, Johan | Escott-Price, Valentina | Essioux, Laurent | Fanous, Ayman H | Farrell, Martilias S | Frank, Josef | Franke, Lude | Freedman, Robert | Freimer, Nelson B | Friedl, Marion | Friedman, Joseph I | Fromer, Menachem | Genovese, Giulio | Georgieva, Lyudmila | Giegling, Ina | Giusti-Rodríguez, Paola | Godard, Stephanie | Goldstein, Jacqueline I | Golimbet, Vera | Gopal, Srihari | Gratten, Jacob | de Haan, Lieuwe | Hammer, Christian | Hamshere, Marian L | Hansen, Mark | Hansen, Thomas | Haroutunian, Vahram | Hartmann, Annette M | Henskens, Frans A | Herms, Stefan | Hirschhorn, Joel N | Hoffmann, Per | Hofman, Andrea | Hollegaard, Mads V | Hougaard, David M | Ikeda, Masashi | Joa, Inge | Julià, Antonio | Kahn, René S | Kalaydjieva, Luba | Karachanak-Yankova, Sena | Karjalainen, Juha | Kavanagh, David | Keller, Matthew C | Kennedy, James L | Khrunin, Andrey | Kim, Yunjung | Klovins, Janis | Knowles, James A | Konte, Bettina | Kucinskas, Vaidutis | Kucinskiene, Zita Ausrele | Kuzelova-Ptackova, Hana | Kähler, Anna K | Laurent, Claudine | Lee, Jimmy | Lee, S Hong | Legge, Sophie E | Lerer, Bernard | Li, Miaoxin | Li, Tao | Liang, Kung-Yee | Lieberman, Jeffrey | Limborska, Svetlana | Loughland, Carmel M | Lubinski, Jan | Lönnqvist, Jouko | Macek, Milan | Magnusson, Patrik KE | Maher, Brion S | Maier, Wolfgang | Mallet, Jacques | Marsal, Sara | Mattheisen, Manuel | Mattingsdal, Morten | McCarley, Robert W | McDonald, Colm | McIntosh, Andrew M | Meier, Sandra | Meijer, Carin J | Melegh, Bela | Melle, Ingrid | Mesholam-Gately, Raquelle I | Metspalu, Andres | Michie, Patricia T | Milani, Lili | Milanova, Vihra | Mokrab, Younes | Morris, Derek W | Mors, Ole | Murphy, Kieran C | Murray, Robin M | Myin-Germeys, Inez | Müller-Myhsok, Bertram | Nelis, Mari | Nenadic, Igor | Nertney, Deborah A | Nestadt, Gerald | Nicodemus, Kristin K | Nikitina-Zake, Liene | Nisenbaum, Laura | Nordin, Annelie | O’Callaghan, Eadbhard | O’Dushlaine, Colm | O’Neill, F Anthony | Oh, Sang-Yun | Olincy, Ann | Olsen, Line | Van Os, Jim | Pantelis, Christos | Papadimitriou, George N | Papiol, Sergi | Parkhomenko, Elena | Pato, Michele T | Paunio, Tiina | Pejovic-Milovancevic, Milica | Perkins, Diana O | Pietiläinen, Olli | Pimm, Jonathan | Pocklington, Andrew J | Powell, John | Price, Alkes | Pulver, Ann E | Purcell, Shaun M | Quested, Digby | Rasmussen, Henrik B | Reichenberg, Abraham | Reimers, Mark A | Richards, Alexander L | Roffman, Joshua L | Roussos, Panos | Ruderfer, Douglas M | Salomaa, Veikko | Sanders, Alan R | Schall, Ulrich | Schubert, Christian R | Schulze, Thomas G | Schwab, Sibylle G | Scolnick, Edward M | Scott, Rodney J | Seidman, Larry J | Shi, Jianxin | Sigurdsson, Engilbert | Silagadze, Teimuraz | Silverman, Jeremy M | Sim, Kang | Slominsky, Petr | Smoller, Jordan W | So, Hon-Cheong | Spencer, Chris C A | Stahl, Eli A | Stefansson, Hreinn | Steinberg, Stacy | Stogmann, Elisabeth | Straub, Richard E | Strengman, Eric | Strohmaier, Jana | Stroup, T Scott | Subramaniam, Mythily | Suvisaari, Jaana | Svrakic, Dragan M | Szatkiewicz, Jin P | Söderman, Erik | Thirumalai, Srinivas | Toncheva, Draga | Tosato, Sarah | Veijola, Juha | Waddington, John | Walsh, Dermot | Wang, Dai | Wang, Qiang | Webb, Bradley T | Weiser, Mark | Wildenauer, Dieter B | Williams, Nigel M | Williams, Stephanie | Witt, Stephanie H | Wolen, Aaron R | Wong, Emily HM | Wormley, Brandon K | Xi, Hualin Simon | Zai, Clement C | Zheng, Xuebin | Zimprich, Fritz | Wray, Naomi R | Stefansson, Kari | Visscher, Peter M | Adolfsson, Rolf | Andreassen, Ole A | Blackwood, Douglas HR | Bramon, Elvira | Buxbaum, Joseph D | Børglum, Anders D | Cichon, Sven | Darvasi, Ariel | Domenici, Enrico | Ehrenreich, Hannelore | Esko, Tõnu | Gejman, Pablo V | Gill, Michael | Gurling, Hugh | Hultman, Christina M | Iwata, Nakao | Jablensky, Assen V | Jönsson, Erik G | Kendler, Kenneth S | Kirov, George | Knight, Jo | Lencz, Todd | Levinson, Douglas F | Li, Qingqin S | Liu, Jianjun | Malhotra, Anil K | McCarroll, Steven A | McQuillin, Andrew | Moran, Jennifer L | Mortensen, Preben B | Mowry, Bryan J | Nöthen, Markus M | Ophoff, Roel A | Owen, Michael J | Palotie, Aarno | Pato, Carlos N | Petryshen, Tracey L | Posthuma, Danielle | Rietschel, Marcella | Riley, Brien P | Rujescu, Dan | Sham, Pak C | Sklar, Pamela | St Clair, David | Weinberger, Daniel R | Wendland, Jens R | Werge, Thomas | Daly, Mark J | Sullivan, Patrick F | O’Donovan, Michael C
Nature  2014;511(7510):421-427.
Summary
Schizophrenia is a highly heritable disorder. Genetic risk is conferred by a large number of alleles, including common alleles of small effect that might be detected by genome-wide association studies. Here, we report a multi-stage schizophrenia genome-wide association study of up to 36,989 cases and 113,075 controls. We identify 128 independent associations spanning 108 conservatively defined loci that meet genome-wide significance, 83 of which have not been previously reported. Associations were enriched among genes expressed in brain providing biological plausibility for the findings. Many findings have the potential to provide entirely novel insights into aetiology, but associations at DRD2 and multiple genes involved in glutamatergic neurotransmission highlight molecules of known and potential therapeutic relevance to schizophrenia, and are consistent with leading pathophysiological hypotheses. Independent of genes expressed in brain, associations were enriched among genes expressed in tissues that play important roles in immunity, providing support for the hypothesized link between the immune system and schizophrenia.
doi:10.1038/nature13595
PMCID: PMC4112379  PMID: 25056061
2.  Shared polygenic contribution between childhood attention-deficit hyperactivity disorder and adult schizophrenia† 
The British Journal of Psychiatry  2013;203(2):107-111.
Background
There is recent evidence of some degree of shared genetic susceptibility between adult schizophrenia and childhood attention-deficit hyperactivity disorder (ADHD) for rare chromosomal variants.
Aims
To determine whether there is overlap between common alleles conferring risk of schizophrenia in adults with those that do so for ADHD in children.
Method
We used recently published Psychiatric Genome-wide Association Study (GWAS) Consortium (PGC) adult schizophrenia data to define alleles over-represented in people with schizophrenia and tested whether those alleles were more common in 727 children with ADHD than in 2067 controls.
Results
Schizophrenia risk alleles discriminated ADHD cases from controls (P = 1.04×10–4, R2 = 0.45%); stronger discrimination was given by alleles that were risk alleles for both adult schizophrenia and adult bipolar disorder (also derived from a PGC data-set) (P = 9.98×10–6, R2 = 0.59%).
Conclusions
This increasing evidence for a small, but significant, shared genetic susceptibility between adult schizophrenia and childhood ADHD highlights the importance of research work across traditional diagnostic boundaries.
doi:10.1192/bjp.bp.112.117432
PMCID: PMC3730114  PMID: 23703318
3.  Genetic Risk for Attention-Deficit/Hyperactivity Disorder Contributes to Neurodevelopmental Traits in the General Population 
Biological Psychiatry  2014;76(8):664-671.
Background
Attention-deficit/hyperactivity disorder (ADHD) can be viewed as the extreme end of traits in the general population. Epidemiological and twin studies suggest that ADHD frequently co-occurs with and shares genetic susceptibility with autism spectrum disorder (ASD) and ASD-related traits. The aims of this study were to determine whether a composite of common molecular genetic variants, previously found to be associated with clinically diagnosed ADHD, predicts ADHD and ASD-related traits in the general population.
Methods
Polygenic risk scores were calculated in the Avon Longitudinal Study of Parents and Children (ALSPAC) population sample (N = 8229) based on a discovery case-control genome-wide association study of childhood ADHD. Regression analyses were used to assess whether polygenic scores predicted ADHD traits and ASD-related measures (pragmatic language abilities and social cognition) in the ALSPAC sample. Polygenic scores were also compared in boys and girls endorsing any (rating ≥1) ADHD item (n = 3623).
Results
Polygenic risk for ADHD showed a positive association with ADHD traits (hyperactive-impulsive, p = .0039; inattentive, p = .037). Polygenic risk for ADHD was also negatively associated with pragmatic language abilities (p = .037) but not with social cognition (p = .43). In children with a rating ≥1 for ADHD traits, girls had a higher polygenic score than boys (p = .003).
Conclusions
These findings provide molecular genetic evidence that risk alleles for the categorical disorder of ADHD influence hyperactive-impulsive and attentional traits in the general population. The results further suggest that common genetic variation that contributes to ADHD diagnosis may also influence ASD-related traits, which at their extreme are a characteristic feature of ASD.
doi:10.1016/j.biopsych.2014.02.013
PMCID: PMC4183378  PMID: 24673882
Attention-deficit/hyperactivity disorder; autism spectrum disorder; Avon Longitudinal Study of Parents and Children (ALSPAC); genetics; pragmatic language; social communication
4.  Correction: Genetic Evidence Implicates the Immune System and Cholesterol Metabolism in the Aetiology of Alzheimer's Disease 
Jones, Lesley | Holmans, Peter A. | Hamshere, Marian L. | Harold, Denise | Moskvina, Valentina | Ivanov, Dobril | Pocklington, Andrew | Abraham, Richard | Hollingworth, Paul | Sims, Rebecca | Gerrish, Amy | Pahwa, Jaspreet Singh | Jones, Nicola | Stretton, Alexandra | Morgan, Angharad R. | Lovestone, Simon | Powell, John | Proitsi, Petroula | Lupton, Michelle K. | Brayne, Carol | Rubinsztein, David C. | Gill, Michael | Lawlor, Brian | Lynch, Aoibhinn | Morgan, Kevin | Brown, Kristelle S. | Passmore, Peter A. | Craig, David | McGuinness, Bernadette | Todd, Stephen | Holmes, Clive | Mann, David | Smith, A. David | Love, Seth | Kehoe, Patrick G. | Mead, Simon | Fox, Nick | Rossor, Martin | Collinge, John | Maier, Wolfgang | Jessen, Frank | Schürmann, Britta | van den Bussche, Hendrik | Heuser, Isabella | Peters, Oliver | Kornhuber, Johannes | Wiltfang, Jens | Dichgans, Martin | Frölich, Lutz | Hampel, Harald | Hüll, Michael | Rujescu, Dan | Goate, Alison M. | Kauwe, John S. K. | Cruchaga, Carlos | Nowotny, Petra | Morris, John C. | Mayo, Kevin | Livingston, Gill | Bass, Nicholas J. | Gurling, Hugh | McQuillin, Andrew | Gwilliam, Rhian | Deloukas, Panos | Al-Chalabi, Ammar | Shaw, Christopher E. | Singleton, Andrew B. | Guerreiro, Rita | Mühleisen, Thomas W. | Nöthen, Markus M. | Moebus, Susanne | Jöckel, Karl-Heinz | Klopp, Norman | Wichmann, H.-Erich | Rüther, Eckhard | Carrasquillo, Minerva M. | Pankratz, V. Shane | Younkin, Steven G. | Hardy, John | O'Donovan, Michael C. | Owen, Michael J. | Williams, Julie
PLoS ONE  2011;6(2):10.1371/annotation/a0bb886d-d345-4a20-a82e-adce9b047798.
doi:10.1371/annotation/a0bb886d-d345-4a20-a82e-adce9b047798
PMCID: PMC3039022
5.  Biological Overlap of Attention-Deficit/Hyperactivity Disorder and Autism Spectrum Disorder: Evidence From Copy Number Variants 
Objective
Attention-deficit/hyperactivity disorder (ADHD) and autism spectrum disorder (ASD) often co-occur and share genetic risks. The aim of this analysis was to determine more broadly whether ADHD and ASD share biological underpinnings.
Method
We compared copy number variant (CNV) data from 727 children with ADHD and 5,081 population controls to data from 996 individuals with ASD and an independent set of 1,287 controls. Using pathway analyses, we investigated whether CNVs observed in individuals with ADHD have an impact on genes in the same biological pathways as on those observed in individuals with ASD.
Results
The results suggest that the biological pathways affected by CNVs in ADHD overlap with those affected by CNVs in ASD more than would be expected by chance. Moreover, this was true even when specific CNV regions common to both disorders were excluded from the analysis. After correction for multiple testing, genes involved in 3 biological processes (nicotinic acetylcholine receptor signalling pathway, cell division, and response to drug) showed significant enrichment for case CNV hits in the combined ADHD and ASD sample.
Conclusion
The results of this study indicate the presence of significant overlap of shared biological processes disrupted by large rare CNVs in children with these 2 neurodevelopmental conditions.
doi:10.1016/j.jaac.2014.03.004
PMCID: PMC4074351  PMID: 24954825
ADHD; ASD; pathway analysis; CNVs; comorbidity
6.  Genome-wide Association Analysis Identifies 14 New Risk Loci for Schizophrenia 
Nature genetics  2013;45(10):10.1038/ng.2742.
Schizophrenia is a heritable disorder with substantial public health impact. We conducted a multi-stage genome-wide association study (GWAS) for schizophrenia beginning with a Swedish national sample (5,001 cases, 6,243 controls) followed by meta-analysis with prior schizophrenia GWAS (8,832 cases, 12,067 controls) and finally by replication of SNPs in 168 genomic regions in independent samples (7,413 cases, 19,762 controls, and 581 trios). In total, 22 regions met genome-wide significance (14 novel and one previously implicated in bipolar disorder). The results strongly implicate calcium signaling in the etiology of schizophrenia, and include genome-wide significant results for CACNA1C and CACNB2 whose protein products interact. We estimate that ∼8,300 independent and predominantly common SNPs contribute to risk for schizophrenia and that these collectively account for most of its heritability. Common genetic variation plays an important role in the etiology of schizophrenia, and larger studies will allow more detailed understanding of this devastating disorder.
doi:10.1038/ng.2742
PMCID: PMC3827979  PMID: 23974872
schizophrenia; genetics; genome-wide association; meta-analysis
7.  Strong genetic evidence for a selective influence of GABAA receptors on a component of the bipolar disorder phenotype 
Molecular psychiatry  2008;15(2):146-153.
Despite compelling evidence for a major genetic contribution to risk of bipolar mood disorder, conclusive evidence implicating specific genes or pathophysiological systems has proved elusive. In part this is likely to be related to the unknown validity of current phenotype definitions and consequent aetiological heterogeneity of samples. In the recent Wellcome Trust Case Control Consortium (WTCCC) genome-wide association analysis of bipolar disorder (1868 cases, 2938 controls) one of the most strongly associated polymorphisms lay within the gene encoding the GABAA receptor β1 subunit, GABRB1. Aiming to increase biological homogeneity, we sought the diagnostic subset that showed the strongest signal at this polymorphism and used this to test for independent evidence of association with other members of the GABAA receptor gene family. The index signal was significantly enriched in the 279 cases meeting Research Diagnostic Criteria for schizoaffective disorder, bipolar type (p=3.8×10−6). Independently, these cases showed strong evidence that variation in GABAA receptor genes influences risk for this phenotype (independent system-wide p=6.6×10−5) with association signals also at GABRA4, GABRB3, GABRA5 and GABRR1. Our findings have the potential to inform understanding of presentation, pathogenesis and nosology of bipolar disorders. Our method of phenotype refinement may be useful in studies of other complex psychiatric and non-psychiatric disorders.
doi:10.1038/mp.2008.66
PMCID: PMC3967096  PMID: 19078961
9.  Factor Structure of Autistic Traits in Children with ADHD 
Attention-deficit hyperactivity disorder (ADHD) and autism spectrum disorder (ASD) often co-occur. Factor analyses of ASD traits in children with and without ASD indicate the presence of social and restrictive–repetitive behaviour (RRB) factors. This study used exploratory factor analyses to determine the structure of ASD traits (assessed using the Social Communication Questionnaire) in children with ADHD. Distinct factors were observed for ‘social’ and ‘rigidity’ traits, corresponding to previous factor analyses in clinical ASD and population samples. This indicates that the split between social-communicative and RRB dimensions is unaffected by ADHD in children. Moreover, the study also finds that there is some overlap across hyperactive-impulsive symptoms and RRB traits in children with ADHD, which merits further investigation.
doi:10.1007/s10803-013-1865-0
PMCID: PMC3898364  PMID: 23748436
ADHD; ASD; Factor analysis; Neurodevelopment
10.  Most genome-wide significant susceptibility loci for schizophrenia and bipolar disorder reported to date cross-traditional diagnostic boundaries 
Human Molecular Genetics  2010;20(2):387-391.
Recent findings from genetic epidemiology and from genome-wide association studies point strongly to a partial overlap in the genes that contribute susceptibility to schizophrenia and bipolar disorder (BD). Previous data have also directly implicated one of the best supported schizophrenia-associated loci, zinc finger binding protein 804A (ZNF804A), as showing trans-disorder effects, and the same is true for one of the best supported bipolar loci, calcium channel, voltage-dependent, L type, alpha 1C subunit (CACNA1C) which has also been associated with schizophrenia. We have undertaken a cross-phenotype study based upon the remaining variants that show genome-wide evidence for association in large schizophrenia and BD meta-analyses. These comprise in schizophrenia, SNPs in or in the vicinity of transcription factor 4 (TCF4), neurogranin (NRGN) and an extended region covering the MHC locus on chromosome 6. For BD, the strongly supported variants are in the vicinity of ankyrin 3, node of Ranvier (ANK3) and polybromo-1 (PBRM1). Using data sets entirely independent of their original discoveries, we observed strong evidence that the PBRM1 locus is also associated with schizophrenia (P = 0.00015) and nominally significant evidence (P < 0.05) that the NRGN and the extended MHC region are associated with BD. Moreover, considering this highly restricted set of loci as a group, the evidence for trans-disorder effects is compelling (P = 4.7 × 10−5). Including earlier reported data for trans-disorder effects for ZNF804A and CACNA1C, six out of eight of the most robustly associated loci for either disorder show trans-disorder effects.
doi:10.1093/hmg/ddq471
PMCID: PMC3005906  PMID: 20940148
11.  Common variants in ABCA7, MS4A6A/MS4A4E, EPHA1, CD33 and CD2AP are associated with Alzheimer’s disease 
Hollingworth, Paul | Harold, Denise | Sims, Rebecca | Gerrish, Amy | Lambert, Jean-Charles | Carrasquillo, Minerva M | Abraham, Richard | Hamshere, Marian L | Pahwa, Jaspreet Singh | Moskvina, Valentina | Dowzell, Kimberley | Jones, Nicola | Stretton, Alexandra | Thomas, Charlene | Richards, Alex | Ivanov, Dobril | Widdowson, Caroline | Chapman, Jade | Lovestone, Simon | Powell, John | Proitsi, Petroula | Lupton, Michelle K | Brayne, Carol | Rubinsztein, David C | Gill, Michael | Lawlor, Brian | Lynch, Aoibhinn | Brown, Kristelle S | Passmore, Peter A | Craig, David | McGuinness, Bernadette | Todd, Stephen | Holmes, Clive | Mann, David | Smith, A David | Beaumont, Helen | Warden, Donald | Wilcock, Gordon | Love, Seth | Kehoe, Patrick G | Hooper, Nigel M | Vardy, Emma R. L. C. | Hardy, John | Mead, Simon | Fox, Nick C | Rossor, Martin | Collinge, John | Maier, Wolfgang | Jessen, Frank | Schürmann, Britta | Rüther, Eckart | Heun, Reiner | Kölsch, Heike | van den Bussche, Hendrik | Heuser, Isabella | Kornhuber, Johannes | Wiltfang, Jens | Dichgans, Martin | Frölich, Lutz | Hampel, Harald | Hüll, Michael | Gallacher, John | Rujescu, Dan | Giegling, Ina | Goate, Alison M | Kauwe, John S K | Cruchaga, Carlos | Nowotny, Petra | Morris, John C | Mayo, Kevin | Sleegers, Kristel | Bettens, Karolien | Engelborghs, Sebastiaan | De Deyn, Peter P | Van Broeckhoven, Christine | Livingston, Gill | Bass, Nicholas J | Gurling, Hugh | McQuillin, Andrew | Gwilliam, Rhian | Deloukas, Panagiotis | Al-Chalabi, Ammar | Shaw, Christopher E | Tsolaki, Magda | Singleton, Andrew B | Guerreiro, Rita | Mühleisen, Thomas W | Nöthen, Markus M | Moebus, Susanne | Jöckel, Karl-Heinz | Klopp, Norman | Wichmann, H-Erich | Pankratz, V Shane | Sando, Sigrid B | Aasly, Jan O | Barcikowska, Maria | Wszolek, Zbigniew K | Dickson, Dennis W | Graff-Radford, Neill R | Petersen, Ronald C | van Duijn, Cornelia M | Breteler, Monique MB | Ikram, M Arfan | DeStefano, Anita L | Fitzpatrick, Annette L | Lopez, Oscar | Launer, Lenore J | Seshadri, Sudha | Berr, Claudine | Campion, Dominique | Epelbaum, Jacques | Dartigues, Jean-François | Tzourio, Christophe | Alpérovitch, Annick | Lathrop, Mark | Feulner, Thomas M | Friedrich, Patricia | Riehle, Caterina | Krawczak, Michael | Schreiber, Stefan | Mayhaus, Manuel | Nicolhaus, S | Wagenpfeil, Stefan | Steinberg, Stacy | Stefansson, Hreinn | Stefansson, Kari | Snædal, Jon | Björnsson, Sigurbjörn | Jonsson, Palmi V. | Chouraki, Vincent | Genier-Boley, Benjamin | Hiltunen, Mikko | Soininen, Hilkka | Combarros, Onofre | Zelenika, Diana | Delepine, Marc | Bullido, Maria J | Pasquier, Florence | Mateo, Ignacio | Frank-Garcia, Ana | Porcellini, Elisa | Hanon, Olivier | Coto, Eliecer | Alvarez, Victoria | Bosco, Paolo | Siciliano, Gabriele | Mancuso, Michelangelo | Panza, Francesco | Solfrizzi, Vincenzo | Nacmias, Benedetta | Sorbi, Sandro | Bossù, Paola | Piccardi, Paola | Arosio, Beatrice | Annoni, Giorgio | Seripa, Davide | Pilotto, Alberto | Scarpini, Elio | Galimberti, Daniela | Brice, Alexis | Hannequin, Didier | Licastro, Federico | Jones, Lesley | Holmans, Peter A | Jonsson, Thorlakur | Riemenschneider, Matthias | Morgan, Kevin | Younkin, Steven G | Owen, Michael J | O’Donovan, Michael | Amouyel, Philippe | Williams, Julie
Nature genetics  2011;43(5):429-435.
We sought to identify new susceptibility loci for Alzheimer’s disease (AD) through a staged association study (GERAD+) and by testing suggestive loci reported by the Alzheimer’s Disease Genetic Consortium (ADGC). First, we undertook a combined analysis of four genome-wide association datasets (Stage 1) and identified 10 novel variants with P≤1×10−5. These were tested for association in an independent sample (Stage 2). Three SNPs at two loci replicated and showed evidence for association in a further sample (Stage 3). Meta-analyses of all data provide compelling evidence that ABCA7 (meta-P 4.5×10−17; including ADGC meta-P=5.0×10−21) and the MS4A gene cluster (rs610932, meta-P=1.8×10−14; including ADGC meta-P=1.2×10−16; rs670139, meta-P=1.4×10−9; including ADGC meta-P=1.1×10−10) are novel susceptibility loci for AD. Second, we observed independent evidence for association for three suggestive loci reported by the ADGC GWAS, which when combined shows genome-wide significance: CD2AP (GERAD+ P=8.0×10−4; including ADGC meta-P=8.6×10−9), CD33 (GERAD+ P=2.2×10−4; including ADGC meta-P=1.6×10−9) and EPHA1 (GERAD+ P=3.4×10−4; including ADGC meta-P=6.0×10−10). These findings support five novel susceptibility genes for AD.
doi:10.1038/ng.803
PMCID: PMC3084173  PMID: 21460840
12.  Genetic Evidence Implicates the Immune System and Cholesterol Metabolism in the Aetiology of Alzheimer's Disease 
Jones, Lesley | Holmans, Peter A. | Hamshere, Marian L. | Harold, Denise | Moskvina, Valentina | Ivanov, Dobril | Pocklington, Andrew | Abraham, Richard | Hollingworth, Paul | Sims, Rebecca | Gerrish, Amy | Pahwa, Jaspreet Singh | Jones, Nicola | Stretton, Alexandra | Morgan, Angharad R. | Lovestone, Simon | Powell, John | Proitsi, Petroula | Lupton, Michelle K. | Brayne, Carol | Rubinsztein, David C. | Gill, Michael | Lawlor, Brian | Lynch, Aoibhinn | Morgan, Kevin | Brown, Kristelle S. | Passmore, Peter A. | Craig, David | McGuinness, Bernadette | Todd, Stephen | Holmes, Clive | Mann, David | Smith, A. David | Love, Seth | Kehoe, Patrick G. | Mead, Simon | Fox, Nick | Rossor, Martin | Collinge, John | Maier, Wolfgang | Jessen, Frank | Schürmann, Britta | van den Bussche, Hendrik | Heuser, Isabella | Peters, Oliver | Kornhuber, Johannes | Wiltfang, Jens | Dichgans, Martin | Frölich, Lutz | Hampel, Harald | Hüll, Michael | Rujescu, Dan | Goate, Alison M. | Kauwe, John S. K. | Cruchaga, Carlos | Nowotny, Petra | Morris, John C. | Mayo, Kevin | Livingston, Gill | Bass, Nicholas J. | Gurling, Hugh | McQuillin, Andrew | Gwilliam, Rhian | Deloukas, Panos | Al-Chalabi, Ammar | Shaw, Christopher E. | Singleton, Andrew B. | Guerreiro, Rita | Mühleisen, Thomas W. | Nöthen, Markus M. | Moebus, Susanne | Jöckel, Karl-Heinz | Klopp, Norman | Wichmann, H.-Erich | Rüther, Eckhard | Carrasquillo, Minerva M. | Pankratz, V. Shane | Younkin, Steven G. | Hardy, John | O'Donovan, Michael C. | Owen, Michael J. | Williams, Julie
PLoS ONE  2010;5(11):e13950.
Background
Late Onset Alzheimer's disease (LOAD) is the leading cause of dementia. Recent large genome-wide association studies (GWAS) identified the first strongly supported LOAD susceptibility genes since the discovery of the involvement of APOE in the early 1990s. We have now exploited these GWAS datasets to uncover key LOAD pathophysiological processes.
Methodology
We applied a recently developed tool for mining GWAS data for biologically meaningful information to a LOAD GWAS dataset. The principal findings were then tested in an independent GWAS dataset.
Principal Findings
We found a significant overrepresentation of association signals in pathways related to cholesterol metabolism and the immune response in both of the two largest genome-wide association studies for LOAD.
Significance
Processes related to cholesterol metabolism and the innate immune response have previously been implicated by pathological and epidemiological studies of Alzheimer's disease, but it has been unclear whether those findings reflected primary aetiological events or consequences of the disease process. Our independent evidence from two large studies now demonstrates that these processes are aetiologically relevant, and suggests that they may be suitable targets for novel and existing therapeutic approaches.
doi:10.1371/journal.pone.0013950
PMCID: PMC2981526  PMID: 21085570
13.  Further analysis of previously implicated linkage regions for Alzheimer's disease in affected relative pairs 
BMC Medical Genetics  2009;10:122.
Background
Genome-wide linkage studies for Alzheimer's disease have implicated several chromosomal regions as potential loci for susceptibility genes.
Methods
In the present study, we have combined a selection of affected relative pairs (ARPs) from the UK and the USA included in a previous linkage study by Myers et al. (Am J Med Genet, 2002), with ARPs from Sweden and Washington University. In this total sample collection of 397 ARPs, we have analyzed linkage to chromosomes 1, 9, 10, 12, 19 and 21, implicated in the previous scan.
Results
The analysis revealed that linkage to chromosome 19q13 close to the APOE locus increased considerably as compared to the earlier scan. However, linkage to chromosome 10q21, which provided the strongest linkage in the previous scan could not be detected.
Conclusion
The present investigation provides yet further evidence that 19q13 is the only chromosomal region consistently linked to Alzheimer's disease.
doi:10.1186/1471-2350-10-122
PMCID: PMC2791756  PMID: 19951422
14.  Does APOE Explain the Linkage of Alzheimer’s Disease to Chromosome 19q13? 
We have studied the impact of the apolipoprotein E gene (APOE) on the chromosome 19 linkage peak from an analysis of sib-pairs affected by Alzheimer’s disease. We genotyped 417 affected sib-pairs (ASPs) collected in Sweden and Norway (SWE), the UK and the USA for 10 microsatellite markers on chromosome 19. The highest Zlr (3.28, chromosome-wide P-value 0.036) from the multipoint linkage analysis was located approximately 1 Mb from APOE, at marker D19S178. The linkage to chromosome 19 was well explained by APOE in the whole sample as well as in the UK and USA subsamples, as identity by descent (IBD) increased with the number of ε4 alleles in ASPs. There was a suggestion from the SWE subsample that linkage was higher than would be expected from APOE alone, although the test for this did not reach formal statistical significance. There was also a significant age at onset (aao) effect on linkage to chromosome 19q13 in the whole sample, which manifested itself as increased IBD sharing in relative pairs with lower mean aao. This effect was partially, although not completely, explained by APOE. The aao effect varied considerably between the different subsamples, with most of the effect coming from the UK sample. The other samples showed smaller effects in the same direction, but these were not significant.
doi:10.1002/ajmg.b.30681
PMCID: PMC2726752  PMID: 18161859
Alzheimer’s disease; APOE; linkage; age at onset; apolipoprotein E
15.  Collaborative genome-wide association analysis supports a role for ANK3 and CACNA1C in bipolar disorder 
Nature genetics  2008;40(9):1056-1058.
To identify susceptibility loci for bipolar disorder, we tested 1.8 million variants in 4,387 cases and 6,209 controls and identified a region of strong association (rs10994336, P = 9.1 × 10-9) in ANK3 (ankyrin G). We also found further support for the previously reported CACNA1C (alpha 1C subunit of the L-type voltage-gated calcium channel; combined P = 7.0 × 10-8, rs1006737). Our results suggest that ion channelopathies may be involved in the pathogenesis of bipolar disorder.
doi:10.1038/ng.209
PMCID: PMC2703780  PMID: 18711365
16.  Combining linkage data sets for meta-analysis and mega-analysis: the GAW15 rheumatoid arthritis data set 
BMC Proceedings  2007;1(Suppl 1):S104.
We have used the genome-wide marker genotypes from Genetic Analysis Workshop 15 Problem 2 to explore joint evidence for genetic linkage to rheumatoid arthritis across several samples. The data consisted of four high-density genome scans on samples selected for rheumatoid arthritis. We cleaned the data, removed intermarker linkage disequilibrium, and assembled the samples onto a common genetic map using genome sequence positions as a reference for map interpolation. The individual studies were combined first at the genotype level (mega-analysis) prior to a multipoint linkage analysis on the combined sample, and second using the genome scan meta-analysis method after linkage analysis of each sample. The two approaches were compared, and give strong support to the HLA locus on chromosome 6 as a susceptibility locus. Other regions of interest include loci on chromosomes 11, 2, and 12.
PMCID: PMC2367583  PMID: 18466444
17.  Large-scale linkage analysis of 1302 affected relative pairs with rheumatoid arthritis 
BMC Proceedings  2007;1(Suppl 1):S100.
Rheumatoid arthritis is the most common systematic autoimmune disease and its etiology is believed to have both strong genetic and environmental components. We demonstrate the utility of including genetic and clinical phenotypes as covariates within a linkage analysis framework to search for rheumatoid arthritis susceptibility loci. The raw genotypes of 1302 affected relative pairs were combined from four large family-based samples (North American Rheumatoid Arthritis Consortium, United Kingdom, European Consortium on Rheumatoid Arthritis Families, and Canada). The familiality of the clinical phenotypes was assessed. The affected relative pairs were subjected to autosomal multipoint affected relative-pair linkage analysis. Covariates were included in the linkage analysis to take account of heterogeneity within the sample. Evidence of familiality was observed with age at onset (p << 0.001) and rheumatoid factor (RF) IgM (p << 0.001), but not definite erosions (p = 0.21). Genome-wide significant evidence for linkage was observed on chromosome 6. Genome-wide suggestive evidence for linkage was observed on chromosomes 13 and 20 when conditioning on age at onset, chromosome 15 conditional on gender, and chromosome 19 conditional on RF IgM after allowing for multiple testing of covariates.
PMCID: PMC2367468  PMID: 18466440
18.  Analyses of single marker and pairwise effects of candidate loci for rheumatoid arthritis using logistic regression and random forests 
BMC Proceedings  2007;1(Suppl 1):S54.
Using parametric and nonparametric techniques, our study investigated the presence of single locus and pairwise effects between 20 markers of the Genetic Analysis Workshop 15 (GAW15) North American Rheumatoid Arthritis Consortium (NARAC) candidate gene data set (Problem 2), analyzing 463 independent patients and 855 controls. Specifically, our work examined the correspondence between logistic regression (LR) analysis of single-locus and pairwise interaction effects, and random forest (RF) single and joint importance measures. For this comparison, we selected small but stable RFs (500 trees), which showed strong correlations (r~0.98) between their importance measures and those by RFs grown on 5000 trees. Both RF importance measures captured most of the LR single-locus and pairwise interaction effects, while joint importance measures also corresponded to full LR models containing main and interaction effects. We furthermore showed that RF measures were particularly sensitive to data imputation. The most consistent pairwise effect on rheumatoid arthritis was found between two markers within MAP3K7IP2/SUMO4 on 6q25.1, although LR and RFs assigned different significance levels.
Within a hypothetical two-stage design, pairwise LR analysis of all markers with significant RF single importance would have reduced the number of possible combinations in our small data set by 61%, whereas joint importance measures would have been less efficient for marker pair reduction. This suggests that RF single importance measures, which are able to detect a wide range of interaction effects and are computationally very efficient, might be exploited as pre-screening tool for larger association studies. Follow-up analysis, such as by LR, is required since RFs do not indicate high-risk genotype combinations.
PMCID: PMC2367457  PMID: 18466554
19.  Covariate linkage analysis of GAW14 simulated data incorporating subclinical phenotype, sex, population, parent-of-origin, and interaction 
BMC Genetics  2005;6(Suppl 1):S45.
Background
We evaluate a method for the incorporation of covariates into linkage analysis using the Genetic Analysis Workshop 14 simulated data. Focusing on a randomly chosen replicate (42) we investigated the effect of the 12 subclinical phenotypes, sex, population, and parent-of-origin on the linkage signal from a model-free linkage analysis of Kofendrerd Personality Disorder.
Results
We detected a linkage peak on chromosome 1, at about 175 cM, which varied depending upon individuals' status for subclinical phenotype b. A linkage peak on chromosome 3 (310 cM) was found not to depend upon subclinical phenotype status. Further peaks were found on chromosomes 5 (12 cM), 9 (4 cM), and 10 (95 cM), depending on the status of subclinical phenotypes a, k, and c/d/g, respectively.
Conclusion
Retrospective comparison of our results with the simulation model showed correct identification of disease loci D1-5 on chromosomes 1, 3, 5, 9 and 10, respectively.
doi:10.1186/1471-2156-6-S1-S45
PMCID: PMC1866739  PMID: 16451656
20.  High Loading of Polygenic Risk for ADHD in Children With Comorbid Aggression 
The American Journal of Psychiatry  2013;170(8):909-916.
Objective
Although attention deficit hyperactivity disorder (ADHD) is highly heritable, genome-wide association studies (GWAS) have not yet identified any common genetic variants that contribute to risk. There is evidence that aggression or conduct disorder in children with ADHD indexes higher genetic loading and clinical severity. The authors examine whether common genetic variants considered en masse as polygenic scores for ADHD are especially enriched in children with comorbid conduct disorder.
Method
Polygenic scores derived from an ADHD GWAS meta-analysis were calculated in an independent ADHD sample (452 case subjects, 5,081 comparison subjects). Multivariate logistic regression analyses were employed to compare polygenic scores in the ADHD and comparison groups and test for higher scores in ADHD case subjects with comorbid conduct disorder relative to comparison subjects and relative to those without comorbid conduct disorder. Association with symptom scores was tested using linear regression.
Results
Polygenic risk for ADHD, derived from the meta-analysis, was higher in the independent ADHD group than in the comparison group. Polygenic score was significantly higher in ADHD case subjects with conduct disorder relative to ADHD case subjects without conduct disorder. ADHD polygenic score showed significant association with comorbid conduct disorder symptoms. This relationship was explained by the aggression items.
Conclusions
Common genetic variation is relevant to ADHD, especially in individuals with comorbid aggression. The findings suggest that the previously published ADHD GWAS meta-analysis contains weak but true associations with common variants, support for which falls below genome-wide significance levels. The findings also highlight the fact that aggression in ADHD indexes genetic as well as clinical severity.
doi:10.1176/appi.ajp.2013.12081129
PMCID: PMC3935265  PMID: 23599091

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