| P50 | author | René S. Kahn | Q1890061 |
| | Sven Stringer | Q52368914 |
| | Eske M Derks | Q55838510 |
| | Naomi R. Wray | Q37616205 |
| P2860 | cites work | Potential etiologic and functional implications of genome-wide association loci for human diseases and traits | Q22066284 |
| | Finding the missing heritability of complex diseases | Q22122198 |
| | Genome-wide association study of 14,000 cases of seven common diseases and 3,000 shared controls | Q24550675 |
| | Complement factor H polymorphism in age-related macular degeneration | Q24553334 |
| | Genome-wide meta-analysis increases to 71 the number of confirmed Crohn's disease susceptibility loci | Q24618592 |
| | Genetic risk and a primary role for cell-mediated immune mechanisms in multiple sclerosis | Q24635370 |
| | A genome-wide association study for celiac disease identifies risk variants in the region harboring IL2 and IL21 | Q24649802 |
| | The endophenotype concept in psychiatry: etymology and strategic intentions | Q28187744 |
| | Schizophrenia as a complex trait: evidence from a meta-analysis of twin studies | Q28190066 |
| | Common polygenic variation contributes to risk of schizophrenia and bipolar disorder | Q28250609 |
| | Common SNPs explain a large proportion of the heritability for human height | Q29547221 |
| | Simultaneous analysis of all SNPs in genome-wide and re-sequencing association studies | Q33354962 |
| | Prioritizing GWAS results: A review of statistical methods and recommendations for their application | Q33571786 |
| | Twin studies of schizophrenia: from bow-and-arrow concordances to star wars Mx and functional genomics | Q33920482 |
| | The pursuit of genome-wide association studies: where are we now? | Q34105177 |
| | Genome-wide association study of major depressive disorder: new results, meta-analysis, and lessons learned | Q34147518 |
| | Evidence-based psychiatric genetics, AKA the false dichotomy between common and rare variant hypotheses. | Q34192331 |
| | A simple Bayesian mixture model with a hybrid procedure for genome-wide association studies | Q34329458 |
| | A genome-wide association study identifies KIAA0350 as a type 1 diabetes gene | Q34651283 |
| | Prediction of individual genetic risk to disease from genome-wide association studies | Q34676890 |
| | Estimating missing heritability for disease from genome-wide association studies | Q34687621 |
| | The complex interplay among factors that influence allelic association. | Q35634519 |
| | Genetic architecture of quantitative traits in mice, flies, and humans | Q36825572 |
| | Prediction of individual genetic risk of complex disease | Q37235762 |
| | Curses--winner's and otherwise--in genetic epidemiology | Q37243708 |
| | Bayesian statistical methods for genetic association studies | Q37599326 |
| | Predictive testing for complex diseases using multiple genes: fact or fiction? | Q40306679 |
| | Upward bias in odds ratio estimates from genome-wide association studies | Q46129490 |
| P275 | copyright license | Creative Commons Attribution 4.0 International | Q20007257 |
| P6216 | copyright status | copyrighted | Q50423863 |
| P433 | issue | 11 | |
| P407 | language of work or name | English | Q1860 |
| P921 | main subject | genome-wide association study | Q1098876 |
| P304 | page(s) | e27964 | |
| P577 | publication date | 2011-11-28 | |
| P1433 | published in | PLOS One | Q564954 |
| P1476 | title | Underestimated effect sizes in GWAS: fundamental limitations of single SNP analysis for dichotomous phenotypes | |
| P478 | volume | 6 | |