Project description:Fixed effect meta-analysis summary statistics combining GWAS of maternal preeclampsia cases and controls from Central Asia (Kazakhstan and Uzbekistan).
Project description:Fixed effect meta-analysis summary statistics combining GWAS of fetal (baby) preeclampsia cases and controls from Central Asia (Kazakhstan and Uzbekistan).
Project description:Fixed effect meta-analysis summary statistics combining GWAS of maternal preeclampsia cases and controls from Europe (UK, Iceland, Norway, Denmark and Finland).
Project description:Fixed effect meta-analysis summary statistics combining GWAS of fetal (baby) preeclampsia cases and controls from Europe (UK, Iceland, Norway, and Denmark).
Project description:Fixed effect meta-analysis summary statistics combining GWAS of maternal preeclampsia cases and controls from Europe (UK, Iceland, Norway, Denmark and Finland) and Central Asia (Kazakhstan and Uzbekistan).
Project description:Fixed effect meta-analysis summary statistics combining GWAS of fetal (baby) preeclampsia cases and controls from Europe (UK, Iceland, Norway, and Denmark) and Central Asia (Kazakhstan and Uzbekistan).
Project description:Summary statistics of a GWAS meta-analysis for severe acne. A total of 7,441,713 genotyped and imputed variants were used for 5,602 European severe acne cases and 21,120 matched population controls.
Project description:Major depressive disorder is a heterogeneous illness with a mostly uncharacterized pathology. Large scale gene expression (transcriptome) analysis and genome-wide association studies (GWAS) for single nucleotide polymorphisms have generated a considerable amount of gene- and disease-related information, but heterogeneity and various sources of noise have limited the discovery of disease mechanisms. As systematic dataset integration is becoming essential, we developed methods and performed meta-clustering of gene coexpression links in 11 transcriptome studies from postmortem brains of human subjects with major depressive disorder (MDD) and non-psychiatric control subjects. We next sought enrichment in the top 50 meta-analyzed coexpression modules for genes otherwise identified by GWAS for various sets of disorders. One coexpression module of 88 genes was consistently and significantly associated with GWAS for MDD, other neuropsychiatric disorders and brain functions, and for medical illnesses with elevated clinical risk of depression, but not for other diseases (See publication for details).
Project description:Major depressive disorder is a heterogeneous illness with a mostly uncharacterized pathology. Large scale gene expression (transcriptome) analysis and genome-wide association studies (GWAS) for single nucleotide polymorphisms have generated a considerable amount of gene- and disease-related information, but heterogeneity and various sources of noise have limited the discovery of disease mechanisms. As systematic dataset integration is becoming essential, we developed methods and performed meta-clustering of gene coexpression links in 11 transcriptome studies from postmortem brains of human subjects with major depressive disorder (MDD) and non-psychiatric control subjects. We next sought enrichment in the top 50 meta-analyzed coexpression modules for genes otherwise identified by GWAS for various sets of disorders. One coexpression module of 88 genes was consistently and significantly associated with GWAS for MDD, other neuropsychiatric disorders and brain functions, and for medical illnesses with elevated clinical risk of depression, but not for other diseases (See publication for details).