Követés
Naomi Wray
Naomi Wray
E-mail megerősítve itt: uq.edu.au
Cím
Hivatkozott rá
Hivatkozott rá
Év
Biological insights from 108 schizophrenia-associated genetic loci
C Pantelis, GN Papadimitriou, S Papiol, E Parkhomenko, MT Pato, ...
Nature 511 (7510), 421-427, 2014
77612014
Common polygenic variation contributes to risk of schizophrenia and bipolar disorder
International Schizophrenia Consortium Manuscript preparation Purcell Shaun ...
Nature 460 (7256), 748-752, 2009
53902009
10 years of GWAS discovery: biology, function, and translation
PM Visscher, NR Wray, Q Zhang, P Sklar, MI McCarthy, MA Brown, ...
The American Journal of Human Genetics 101 (1), 5-22, 2017
38542017
Genome-wide association analyses identify 44 risk variants and refine the genetic architecture of major depression
NR Wray, S Ripke, M Mattheisen, M Trzaskowski, EM Byrne, A Abdellaoui, ...
Nature genetics 50 (5), 668-681, 2018
29492018
Heritability in the genomics era—concepts and misconceptions
PM Visscher, WG Hill, NR Wray
Nature reviews genetics 9 (4), 255-266, 2008
25192008
Integration of summary data from GWAS and eQTL studies predicts complex trait gene targets
Z Zhu, F Zhang, H Hu, A Bakshi, MR Robinson, JE Powell, ...
Nature genetics 48 (5), 481-487, 2016
24562016
Genetic relationship between five psychiatric disorders estimated from genome-wide SNPs
B Devlin, JR Kelsoe, P Sklar, MJ Daly, MC O'Donovan, N Craddock, ...
Nature genetics 45 (9), 984-994, 2013
24332013
Genome-wide meta-analysis of depression identifies 102 independent variants and highlights the importance of the prefrontal brain regions
DM Howard, MJ Adams, TK Clarke, JD Hafferty, J Gibson, M Shirali, ...
Nature neuroscience 22 (3), 343-352, 2019
23232019
Identification of novel risk loci, causal insights, and heritable risk for Parkinson's disease: a meta-analysis of genome-wide association studies
MA Nalls, C Blauwendraat, CL Vallerga, K Heilbron, S Bandres-Ciga, ...
The Lancet Neurology 18 (12), 1091-1102, 2019
19952019
Mapping genomic loci implicates genes and synaptic biology in schizophrenia
V Trubetskoy, AF Pardiñas, T Qi, G Panagiotaropoulou, S Awasthi, ...
Nature 604 (7906), 502-508, 2022
18462022
Genome-wide association analysis identifies 13 new risk loci for schizophrenia
S Ripke, C O'dushlaine, K Chambert, JL Moran, AK Kähler, S Akterin, ...
Nature genetics 45 (10), 1150-1159, 2013
18042013
Common schizophrenia alleles are enriched in mutation-intolerant genes and in regions under strong background selection
AF Pardiñas, P Holmans, AJ Pocklington, V Escott-Price, S Ripke, ...
Nature genetics 50 (3), 381-389, 2018
16352018
Genome-wide association study identifies 30 loci associated with bipolar disorder
EA Stahl, G Breen, AJ Forstner, A McQuillin, S Ripke, V Trubetskoy, ...
Nature genetics 51 (5), 793-803, 2019
15912019
Analysis of shared heritability in common disorders of the brain
Brainstorm Consortium, V Anttila, B Bulik-Sullivan, HK Finucane, ...
Science 360 (6395), eaap8757, 2018
15572018
Modeling linkage disequilibrium increases accuracy of polygenic risk scores
BJ Vilhjálmsson, J Yang, HK Finucane, A Gusev, S Lindström, S Ripke, ...
The american journal of human genetics 97 (4), 576-592, 2015
14762015
A mega-analysis of genome-wide association studies for major depressive disorder
S Ripke, N Wray, C Lewis, S Hamilton, M Weissman, G Breen, E Byrne, ...
Molecular psychiatry 18 (4), 497-511, 2013
1308*2013
Estimating missing heritability for disease from genome-wide association studies
SH Lee, NR Wray, ME Goddard, PM Visscher
The American Journal of Human Genetics 88 (3), 294-305, 2011
12352011
DNA methylation age of blood predicts all-cause mortality in later life
RE Marioni, S Shah, AF McRae, BH Chen, E Colicino, SE Harris, J Gibson, ...
Genome biology 16, 1-12, 2015
12212015
Genomic relationships, novel loci, and pleiotropic mechanisms across eight psychiatric disorders
PH Lee, V Anttila, H Won, YCA Feng, J Rosenthal, Z Zhu, EM Tucker-Drob, ...
Cell 179 (7), 1469-1482. e11, 2019
12102019
Genome-wide association study of more than 40,000 bipolar disorder cases provides new insights into the underlying biology
N Mullins, AJ Forstner, KS O’Connell, B Coombes, JRI Coleman, Z Qiao, ...
Nature genetics 53 (6), 817-829, 2021
11322021
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