There is increasing evidence that genome-wide association (GWA) studies represent a powerful approach to the identification of genes involved in common human diseases. We describe a joint GWA study (using the Affymetrix GeneChip 500K Mapping Array Set) undertaken in the British population, which has examined approximately 2,000 individuals for each of 7 major diseases and a shared set of approximately 3,000 controls. Case-control comparisons identified 24 independent association signals at

Major depression is a debilitating psychiatric illness that is typically associated with low mood and anhedonia. Depression has a heritable component that has remained difficult to elucidate with current sample sizes due to the polygenic nature of the disorder. To maximise sample size, we meta-analysed data on 807,553 individuals (246,363 cases and 561,190 controls) from the three largest genome-wide association studies of depression. We identified 102 independent variants, 269 genes, and 15 gene-sets associated with depression, including both genes and gene-pathways associated with synaptic structure and neurotransmission. An enrichment analysis provided further evidence of the importance of prefrontal brain regions. In an independent replication sample of 1,306,354 individuals (414,055 cases and 892,299 controls), 87 of the 102 associated variants were significant following multiple testing correction. These findings advance our understanding of the complex genetic architecture of depression and provide several future avenues for understanding aetiology and developing new treatment approaches.

Summary: A polygenic risk score (PRS) is a sum of trait-associated alleles across many genetic loci, typically weighted by effect sizes estimated from a genome-wide association study. The application of PRS has grown in recent years as their utility for detecting shared genetic aetiology among traits has become appreciated; PRS can also be used to establish the presence of a genetic signal in underpowered studies, to infer the genetic architecture of a trait, for screening in clinical trials, and can act as a biomarker for a phenotype. Here we present the first dedicated PRS software, PRSice (‘precise'), for calculating, applying, evaluating and plotting the results of PRS. PRSice can calculate PRS at a large number of thresholds (“high resolution”) to provide the best-fit PRS, as well as provide results calculated at broad P-value thresholds, can thin Single Nucleotide Polymorphisms (SNPs) according to linkage disequilibrium and P-value or use all SNPs, handles genotyped and imputed data, can calculate and incorporate ancestry-informative variables, and can apply PRS across multiple traits in a single run. We exemplify the use of PRSice via application to data on schizophrenia, major depressive disorder and smoking, illustrate the importance of identifying the best-fit PRS and estimate a P-value significance threshold for high-resolution PRS studies.Availability and implementation: PRSice is written in R, including wrappers for bash data management scripts and PLINK-1.9 to minimize computational time. PRSice runs as a command-line program with a variety of user-options, and is freely available for download from http://PRSice.infoContact: jack.euesden@kcl.ac.uk or paul.oreilly@kcl.ac.ukSupplementary information: Supplementary data are available at Bioinformatics online.

Most psychiatric disorders are moderately to highly heritable. The degree to which genetic variation is unique to individual disorders or shared across disorders is unclear. To examine shared genetic etiology, we use genome-wide genotype data from the Psychiatric Genomics Consortium (PGC) for cases and controls in schizophrenia, bipolar disorder, major depressive disorder, autism spectrum disorders (ASD) and attention-deficit/hyperactivity disorder (ADHD). We apply univariate and bivariate methods for the estimation of genetic variation within and covariation between disorders. SNPs explained 17–29% of the variance in liability. The genetic correlation calculated using common SNPs was high between schizophrenia and bipolar disorder (0.68 ± 0.04 s.e.), moderate between schizophrenia and major depressive disorder (0.43 ± 0.06 s.e.), bipolar disorder and major depressive disorder (0.47 ± 0.06 s.e.), and ADHD and major depressive disorder (0.32 ± 0.07 s.e.), low between schizophrenia and ASD (0.16 ± 0.06 s.e.) and non-significant for other pairs of disorders as well as between psychiatric disorders and the negative control of Crohn’s disease. This empirical evidence of shared genetic etiology for psychiatric disorders can inform nosology and encourages the investigation of common pathophysiologies for related disorders.

The version presented here may differ from the published version or, version of record, if you wish to cite this item you are advised to consult the publisher's version. Please see the 'permanent WRaP URL' above for details on accessing the published version and note that access may require a subscription.

A genome-wide association scan in Crohn disease by the Wellcome Trust Case Control Consortium1 detected strong association at 6 novel loci. We tested 37 SNPs from these and other loci for association in an independent case control sample. Replication was obtained for the IRGM gene on chromosome 5q33.1 which induces autophagy (replication P = 6.6 × 10 −4 , combined P = 2.1 × 10 −10 ), and for 9 other loci including NKX2-3 and gene deserts on chromosomes 1q and 5p13. Crohn disease (CD) is a common form of chronic inflammatory bowel disease. Established CD susceptibility genes NOD2 (CARD15), IL23R and ATG16L1 2-5 showed strong evidence of association in the Wellcome Trust Case Control Consortium (WTCCC) genome-wide scan of 1748 CD cases and 2938 controls genotyped using the Affymetrix 500K chip. Six other loci also showed highly significant association. Although satisfying stringent statistical thresholds for significance (P < 5 × 10 −7 ), replication in independent panels represents a key validation step.We followed up 37 SNPs from 31 distinct loci associated at P < 10 −5 on initial analysis of the WTCCC dataset. Support for some of these markers diminished in the final WTCCC analysis after extensive data filtering1. Three other associations with genome-wide significance in the WTCCC scan produced strong evidence of replication (P≤0.01), two of which are novel. The strongest was SNP rs9292777 (P rep =2.9×10 −7 ; P comb =3.2×10 −18 ) which maps to a 1.2 Mb gene desert on chromosome 5p13.1 recently associated with CD.9 The most significant novel association was SNP rs10883365 (P rep =0.0037, P comb =3.7 × 10 −10 ), which maps within the NKX2-3 gene (NK2 transcription factor related, locus 3) on chromosome 10q24.2. Nkx2.3-deficient mice develop splenic and gut-associated lymphoid tissue abnormalities with disordered segregation of T-and B-cells.10 The second novel locus at rs9858542 (P rep =0.010, P comb =4.9×10 −8 ) on chromosome 3p21 is a 1 Mb region of high LD that contains over 20 genes, including MST1 (macrophage stimulating 1), encoding a protein which induces phagocytosis by resident peritoneal macrophages.The modest evidence of replication for SNP rs2542151 (P = 0.048) at the PTPN2 locus (protein tyrosine phosphatase, non-receptor type 2) on chromosome 18p11 (P comb = 3.2 × 10 −8 ) is of interest since PTPN2 encodes a T cell protein tyrosine phosphatase, a key negative regulator of inflammation and is also associated with Type 1 Diabetes.11 Allele frequencies for rs10761659 on chromosome 10q21, strongly associated in the WTCCC scan, were similar in replication CD cases and population controls (SOM table 2), but association in this intergenic region was recently detected in a North American whole-genome CD scan. 12Allele frequencies for most of the markers from the 25 other loci studied that did not achieve genome-wide significance in the WTCCC scan but had an initial P<10 −5 converged with control frequencies in the CD replication panel (Supplementary Table 2). Five of these loci, however, provided ev...

Schizophrenia is a common disorder with high heritability and a 10-fold increase in risk to siblings of probands. Replication has been inconsistent for reports of significant genetic linkage. To assess evidence for linkage across studies, rank-based genome scan meta-analysis (GSMA) was applied to data from 20 schizophrenia genome scans. Each marker for each scan was assigned to 1 of 120 30-cM bins, with the bins ranked by linkage scores (1 = most significant) and the ranks averaged across studies (R(avg)) and then weighted for sample size (N(sqrt)[affected casess]). A permutation test was used to compute the probability of observing, by chance, each bin's average rank (P(AvgRnk)) or of observing it for a bin with the same place (first, second, etc.) in the order of average ranks in each permutation (P(ord)). The GSMA produced significant genomewide evidence for linkage on chromosome 2q (PAvgRnk<.000417). Two aggregate criteria for linkage were also met (clusters of nominally significant P values that did not occur in 1,000 replicates of the entire data set with no linkage present): 12 consecutive bins with both P(AvgRnk) and P(ord)<.05, including regions of chromosomes 5q, 3p, 11q, 6p, 1q, 22q, 8p, 20q, and 14p, and 19 consecutive bins with P(ord)<.05, additionally including regions of chromosomes 16q, 18q, 10p, 15q, 6q, and 17q. There is greater consistency of linkage results across studies than has been previously recognized. The results suggest that some or all of these regions contain loci that increase susceptibility to schizophrenia in diverse populations.

No abstract