| scholarly article | Q13442814 |
| P818 | arXiv ID | 1304.8045 |
| P356 | DOI | 10.1093/HMG/DDW049 |
| P8608 | Fatcat ID | release_lgxyo76nlbgvvl47r6rqhrophq |
| P932 | PMC publication ID | 4986332 |
| P698 | PubMed publication ID | 26908615 |
| P50 | author | Soumya Raychaudhuri | Q29839633 |
| Eleazar Eskin | Q62673408 | ||
| Buhm Han | Q88645519 | ||
| P2093 | author name string | Paul I W de Bakker | |
| Jae Hoon Sul | |||
| Dat Duong | |||
| P2860 | cites work | Host-microbe interactions have shaped the genetic architecture of inflammatory bowel disease | Q22251082 |
| Identification of a common neurobiological substrate for mental illness | Q23890289 | ||
| A subset-based approach improves power and interpretation for the combined analysis of genetic association studies of heterogeneous traits | Q24169696 | ||
| Meta-analysis in genome-wide association studies | Q24273398 | ||
| Genome-wide association study of 14,000 cases of seven common diseases and 3,000 shared controls | Q24550675 | ||
| Genome-wide association study identifies variants at CLU and PICALM associated with Alzheimer's disease | Q24612662 | ||
| Quantifying heterogeneity in a meta-analysis | Q27860672 | ||
| Meta-analysis in clinical trials | Q27860779 | ||
| Statistical aspects of the analysis of data from retrospective studies of disease | Q27860916 | ||
| A statistical framework for joint eQTL analysis in multiple tissues | Q28397927 | ||
| Meta-analysis of genome-wide association studies with overlapping subjects | Q28749593 | ||
| Practical aspects of imputation-driven meta-analysis of genome-wide association studies | Q28749837 | ||
| Combined analysis of genome-wide association studies for Crohn disease and psoriasis identifies seven shared susceptibility loci | Q28924378 | ||
| Meta-analysis of genome-wide association studies in celiac disease and rheumatoid arthritis identifies fourteen non-HLA shared loci | Q28943258 | ||
| Genome-wide association study identifies 12 new susceptibility loci for primary biliary cirrhosis | Q29417041 | ||
| Genomic control for association studies | Q29547213 | ||
| METAL: fast and efficient meta-analysis of genomewide association scans | Q29547217 | ||
| Common SNPs explain a large proportion of the heritability for human height | Q29547221 | ||
| High-density genetic mapping identifies new susceptibility loci for rheumatoid arthritis | Q30419111 | ||
| A genome-wide association study of testicular germ cell tumor | Q33855633 | ||
| A genome-wide association study for myopia and refractive error identifies a susceptibility locus at 15q25. | Q33969884 | ||
| Interpreting meta-analyses of genome-wide association studies | Q34187048 | ||
| Effectively Identifying eQTLs from Multiple Tissues by Combining Mixed Model and Meta-analytic Approaches | Q34778524 | ||
| Variance component model to account for sample structure in genome-wide association studies | Q34971144 | ||
| Random-Effects Model Aimed at Discovering Associations in Meta-Analysis of Genome-wide Association Studies | Q35136958 | ||
| P-value based analysis for shared controls design in genome-wide association studies. | Q35308848 | ||
| Genome-wide association analysis of more than 120,000 individuals identifies 15 new susceptibility loci for breast cancer | Q35996692 | ||
| BAYESIAN METHODS FOR GENETIC ASSOCIATION ANALYSIS WITH HETEROGENEOUS SUBGROUPS: FROM META-ANALYSES TO GENE-ENVIRONMENT INTERACTIONS | Q36093411 | ||
| Association of novel genetic Loci with circulating fibrinogen levels: a genome-wide association study in 6 population-based cohorts | Q37394589 | ||
| Bayesian model selection in complex linear systems, as illustrated in genetic association studies | Q38273854 | ||
| The statistical basis of meta-analysis | Q40790809 | ||
| Transethnic meta‐analysis of genomewide association studies | Q42572583 | ||
| P433 | issue | 9 | |
| P407 | language of work or name | English | Q1860 |
| P304 | page(s) | 1857-66 | |
| P577 | publication date | 2016-05-01 | |
| P1433 | published in | Human Molecular Genetics | Q2720965 |
| P1476 | title | A general framework for meta-analyzing dependent studies with overlapping subjects in association mapping | |
| P478 | volume | 25 |
| Q55439921 | A correction for sample overlap in genome-wide association studies in a polygenic pleiotropy-informed framework. |
| Q42697286 | Applying meta-analysis to genotype-tissue expression data from multiple tissues to identify eQTLs and increase the number of eGenes |
| Q57034328 | Combining controls can improve power in two-stage association studies |
| Q90101893 | Discovery of shared genomic loci using the conditional false discovery rate approach |
| Q34778524 | Effectively Identifying eQTLs from Multiple Tissues by Combining Mixed Model and Meta-analytic Approaches |
| Q42697135 | FOLD: a method to optimize power in meta-analysis of genetic association studies with overlapping subjects |
| Q91362827 | Genetic predisposition to mosaic Y chromosome loss in blood |
| Q28388497 | Genome-Wide Meta-Analyses of Breast, Ovarian, and Prostate Cancer Association Studies Identify Multiple New Susceptibility Loci Shared by at Least Two Cancer Types |
| Q52664095 | HT-eQTL: integrative expression quantitative trait loci analysis in a large number of human tissues |
| Q37413986 | Habitual coffee consumption and risk of type 2 diabetes, ischemic heart disease, depression and Alzheimer's disease: a Mendelian randomization study |
| Q55341962 | Identifying gene targets for brain-related traits using transcriptomic and methylomic data from blood. |
| Q46725769 | Increasing the power of meta-analysis of genome-wide association studies to detect heterogeneous effects |
| Q89820815 | Meta-Analysis of SNP-Environment Interaction With Overlapping Data |
| Q47136255 | Statistical methods to detect pleiotropy in human complex traits |
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