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1. Schizophrenia-associated somatic copy-number variants from 12,834 cases reveal recurrent NRXN1 and ABCB11 disruptions

2. Using brain cell-type-specific protein interactomes to interpret neurodevelopmental genetic signals in schizophrenia

3. Contribution of copy number variants to schizophrenia from a genome-wide study of 41,321 subjects

4. Exploratory Sensor-based Outcome Measures Show Divergent Slopes of Motor Sign Progression in Parkinson’s Disease Patients Treated with Prasinezumab

5. Modeling Linkage Disequilibrium Increases Accuracy of Polygenic Risk Scores

6. Improving basic and translational science by accounting for litter-to-litter variation in animal models

7. Partitioning Heritability of Regulatory and Cell-Type-Specific Variants across 11 Common Diseases

8. Biological insights from 108 schizophrenia-associated genetic loci

11. Schizophrenia-associated somatic copy-number variants from 12,834 cases reveal recurrent NRXN1 and ABCB11 disruptions

12. Genetic and Physiological Data Implicating the New Human Gene G72 and the Gene for D-Amino Acid Oxidase in Schizophrenia

13. Supplementary Figure 1 from Quantitative Chemical Proteomics Profiling Differentiates Erlotinib from Gefitinib in EGFR Wild-Type Non–Small Cell Lung Carcinoma Cell Lines

14. Supplementary Table 1 from Quantitative Chemical Proteomics Profiling Differentiates Erlotinib from Gefitinib in EGFR Wild-Type Non–Small Cell Lung Carcinoma Cell Lines

15. Data from Quantitative Chemical Proteomics Profiling Differentiates Erlotinib from Gefitinib in EGFR Wild-Type Non–Small Cell Lung Carcinoma Cell Lines

16. Supplementary Figure 2 from Quantitative Chemical Proteomics Profiling Differentiates Erlotinib from Gefitinib in EGFR Wild-Type Non–Small Cell Lung Carcinoma Cell Lines

17. Supplementary Methods from Quantitative Chemical Proteomics Profiling Differentiates Erlotinib from Gefitinib in EGFR Wild-Type Non–Small Cell Lung Carcinoma Cell Lines

22. A polygenic resilience score moderates the genetic risk for schizophrenia

23. Sex-Dependent Shared and Nonshared Genetic Architecture Across Mood and Psychotic Disorders

24. Interaction Testing and Polygenic Risk Scoring to Estimate the Association of Common Genetic Variants With Treatment Resistance in Schizophrenia

25. Sex-Dependent Shared and Nonshared Genetic Architecture Across Mood and Psychotic Disorders

27. A Comparison of Ten Polygenic Score Methods for Psychiatric Disorders Applied Across Multiple Cohorts

29. Gene expression imputation across multiple brain regions provides insights into schizophrenia risk

30. Complement genes contribute sex-biased vulnerability in diverse disorders

35. Gene expression imputation across multiple brain regions provides insights into schizophrenia risk

36. Gene expression imputation across multiple brain regions provides insights into schizophrenia risk

39. Genetic influences on schizophrenia and subcortical brain volumes: large-scale proof of concept

40. Age at first birth in women is genetically associated with increased risk of schizophrenia

41. Contribution of copy number variants to schizophrenia from a genome-wide study of 41,321 subjects

42. Genomic Dissection of Bipolar Disorder and Schizophrenia, Including 28 Subphenotypes

43. Landscape of Conditional eQTL in Dorsolateral Prefrontal Cortex and Co-localization with Schizophrenia GWAS

44. Estimation of Genetic Correlation via Linkage Disequilibrium Score Regression and Genomic Restricted Maximum Likelihood

45. Combining expression of GPC3 in tumors and CD16 on NK cells from peripheral blood to identify patients responding to codrituzumab

46. Contribution of copy number variants to schizophrenia from a genome-wide study of 41,321 subjects

47. ViralZone: recent updates to the virus knowledge resource

48. The frequency of anti-infliximab antibodies in patients with rheumatoid arthritis treated in routine care and the associations with adverse drug reactions and treatment failure

49. No Reliable Association between Runs of Homozygosity and Schizophrenia in a Well-Powered Replication Study

50. Large-Scale Identification of Common Trait and Disease Variants Affecting Gene Expression

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