Literature DB >> 27801898

The International SSRI Pharmacogenomics Consortium (ISPC): a genome-wide association study of antidepressant treatment response.

J M Biernacka, K Sangkuhl, G Jenkins, R M Whaley, P Barman, A Batzler, R B Altman, V Arolt, J Brockmöller, C H Chen, K Domschke, D K Hall-Flavin, C J Hong, A Illi, Y Ji, O Kampman, T Kinoshita, E Leinonen, Y J Liou, T Mushiroda, S Nonen, M K Skime, L Wang, B T Baune, M Kato, Y L Liu, V Praphanphoj, J C Stingl, S J Tsai, M Kubo, T E Klein, R Weinshilboum.   

Abstract

Entities:  

Year:  2016        PMID: 27801898      PMCID: PMC5314112          DOI: 10.1038/tp.2016.187

Source DB:  PubMed          Journal:  Transl Psychiatry        ISSN: 2158-3188            Impact factor:   6.222


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Correction to: Translational Psychiatry (2015) 5, e553; doi:10.1038/tp.2015.47; published online 21 April 2015 Following publication, the authors identified an error in the meta-analysis of ISPC, AMPS and STAR*D data. The error resulted from a failure to correctly harmonize alleles at some SNPs prior to meta-analyzing results from the three studies. This error had no impact on the primary analysis, which focused on the ISPC data alone (Table 2, Figure 1), but resulted in several incorrect signals being listed in Table 3 (meta-analysis results). The corrected Table 3 is shown below, along with a corrected Figure 2 (Manhattan plot of the meta-analysis). A new Supplementary File is available online. The corrections to the article are described below.
Table 3

Top 10 association regions from the genome-wide association meta-analysis of the combined ISPC+AMPS sample and STAR*D (all race)

Outcome measureSNPCHRBPGeneA1/A2ISPC+AMPS (beta/OR)STAR*D (beta/OR)Meta-analysis (beta/OR)P
%Change in depression scorers358066622158790425LOC100130766/UPP2/ACVR1G/A−0.18−0.21−0.206.47E−07
 rs73069924532278233MTMR12G/A−0.50−0.42−0.448.09E−07
 rs4615376613071073PHACTR1G/A−0.20−0.13−0.161.05E−06
 rs2566255114605195OR52I2/C11orf40G/C0.240.260.261.51E−06
 rs910039617505944CAP2A/G−0.10−0.17−0.132.11E−06
 rs170681126139250125REPS1G/C0.190.370.263.28E−06
 rs748521012131638853LOC116437/LINC01257/GPR133A/C0.180.100.143.42E−06
 rs74378198538870908OSMRG/A−0.69−0.37−0.433.77E−06
 rs10511037374669078CNTN3G/A−0.21−0.14−0.193.89E−06
 rs59046012322016054SMS/PHEXC/T0.150.130.144.24E−06
          
Responsers10954808831479623NRG1G/A0.730.730.731.20E−06
 rs2309896973959235TRPM3C/T0.330.430.383.26E−06
 rs67424611113141684NCAM1C/T1.281.381.333.35E−06
 rs727727871248016378TRIM58T/C2.631.942.343.96E−06
 rs25406512218972331DGCR5A/G1.371.281.335.39E−06
 rs70510852323374977PTCHD1A/T0.600.690.635.51E−06
 rs1101831810128774073DOCK1A/G1.301.481.386.17E−06
 rs74378198538870908OSMRG/A3.962.192.407.34E−06
 rs475985512131640425LOC116437G/T0.670.670.677.47E−06
 rs116842540982367951TLE4T/A0.360.390.377.67E−06

Abbreviations: AMPS, Antidepressant Medication Pharmacogenomics Study; Beta/OR, regression parameter estimates (beta) for SNP effect on quantitative trait outcome or odds ratio (OR) estimate for SNP effect on binary outcome; ISPC, International SSRI Pharmacogenomics Consortium; SNP, single-nucleotide polymorphism; STAR*D, Sequenced Treatment Alternatives to Relieve Depression. There were other SNPs in these regions with suggestive evidence for association.

Note: Rather than showing results for multiple SNPs in one region, only one (top) SNP is shown for each association region.

Figure 2

Manhattan plots showing genome-wide association results for the two outcome variables in the meta-analysis of ISPC, AMPS and STAR*D data. (a) %Δ depression score, (b) response. AMPS, Antidepressant Medication Pharmacogenomics Study; ISPC, International SSRI Pharmacogenomics Consortium; STAR*D, Sequenced Treatment Alternatives to Relieve Depression.

In the Abstract, the sentence ‘Top association results in the meta-analysis of response included single-nucleotide polymorphisms (SNPs) in the HPRTP4 (hypoxanthine phosphoribosyltransferase pseudogene 4)/VSTM5 (V-set and transmembrane domain containing 5) region, which approached genome-wide significance (P=5.03E−08) and SNPs 5′ upstream of the neuregulin-1 gene, NRG1 (P=1.20E−06)' should read ‘The top association result in the meta-analysis of response represents SNPs 5′ upstream of the neuregulin-1 gene, NRG1 (P=1.20E−06).' In the Results section, the following sentence should not have been included in the article: ‘In the meta-analysis of response, one SNP approached genome-wide significance (Table 3; rs2456568, P=5.0E−08). This SNP lies 3′ downstream of the pseudogene HPRTP4, with other SNPs in this region with P-values <10−6 being located 5′ upstream of the gene VSTM5 (V-set and transmembrane domain containing 5; Supplementary Figure S4).' The subsequent sentence should not have begun with ‘Other' the corrected sentence is ‘Notable top association regions for response include the 5′ upstream region of the neuregulin gene, NRG1 (Figure 2b and Supplementary Figure S4).' Also in the Results section, the following sentence should have appeared with the two changes shown in square brackets: ‘Although the observed associations are not significant after correction for multiple testing of SNPs selected for these replication analyses, we observed marginally significant evidence of association of SNP rs11624702 in MDGA2 (MAM domain containing glycosylphosphatidylinositol anchor 2) with response in the ISPC alone (P=0.061) and [‘and' should read ‘but not'] in the combined ISPC-AMPS-STAR*D meta-analysis (P=0.029) [‘0.029' should read ‘0.36'], with the minor allele being associated with lower odds of response (that is, worse clinical outcomes)'. In the Discussion section, the statement ‘A meta-analysis that included the ISPC, PGRN-AMPS and STAR*D data revealed a SNP in the region of the HPRTP4 and VSTM5 genes that approached genome-wide significance for association with response (p=5.0E-08). Replication of this association signal is warranted, prior to further functional follow-up. Moreover, several of the top association signals that did not achieve genome-wide significance were in genes of biological interest, most notably NRG1, which merits further investigation into their potential role in depression and antidepressant response.' should read ‘A meta-analysis that included the ISPC, PGRN-AMPS and STAR*D data revealed several association signals that did not achieve genome-wide significance but were in genes of biological interest, most notably NRG1, which merits further investigation into their potential role in depression and antidepressant response.' Also in the Discussion section, the following sentence should not have been included: ‘In particular, our analyses provided nominally significant evidence of association of SNP rs11624702 in MDGA2 with response in the combined ISPC-AMPS-STAR*D meta-analysis.'
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