Meta-analysis methods for genome-wide association studies and beyond.
about
Pathogenesis of coronary artery disease: focus on genetic risk factors and identification of genetic variantsPublication and other reporting biases in cognitive sciences: detection, prevalence, and prevention.Strategies for Integrated Analysis of Genetic, Epigenetic, and Gene Expression Variation in Cancer: Addressing the ChallengesApplication of computational methods in genetic study of inflammatory bowel diseaseRare-variant association analysis: study designs and statistical testsAssociation Analysis in Rice: From Application to UtilizationTrans-ethnic genome-wide association studies: advantages and challenges of mapping in diverse populations.Statistical Methods in Integrative GenomicsOn individual genome-wide association studies and their meta-analysisGenetic analysis of quantitative phenotypes in AD and MCI: imaging, cognition and biomarkersBiobanks and electronic medical records: enabling cost-effective researchData integration in the era of omics: current and future challengesMeta-GWAS Accuracy and Power (MetaGAP) Calculator Shows that Hiding Heritability Is Partially Due to Imperfect Genetic Correlations across StudiesDissecting the genetics of complex traits using summary association statisticsGenetic variants in CETP increase risk of intracerebral hemorrhage.Genome-wide association analysis of self-reported events in 6135 individuals and 252 827 controls identifies 8 loci associated with thrombosisAn empirical comparison of meta-analysis and mega-analysis of individual participant data for identifying gene-environment interactions.Integrative Analysis of "-Omics" Data Using Penalty Functions.Assessing the consistency of public human tissue RNA-seq data sets.Leveraging Functional-Annotation Data in Trans-ethnic Fine-Mapping Studies.An integrative data analysis platform for gene set analysis and knowledge discovery in a data warehouse frameworkMergeomics: a web server for identifying pathological pathways, networks, and key regulators via multidimensional data integration.Meta-analysis: a tool for clinical and experimental research in psychiatryAntioxidant defense enzyme genes and asthma susceptibility: gender-specific effects and heterogeneity in gene-gene interactions between pathogenetic variants of the diseaseLarge-scale interaction effects reveal missing heritability in schizophrenia, bipolar disorder and posttraumatic stress disorder.Association between a common immunoglobulin heavy chain allele and rheumatic heart disease risk in Oceania.Meta-analysis of GWAS of over 16,000 individuals with autism spectrum disorder highlights a novel locus at 10q24.32 and a significant overlap with schizophrenia.Finding genomic function for genetic associations in nicotine addiction research: the ENCODE project's role in future pharmacogenomic analysisMeta-analysis of sequencing studies with heterogeneous genetic associationsCohen's h for detection of disease association with rare genetic variants.Integrative analysis of multiple diverse omics datasets by sparse group multitask regression.Transethnic replication of association of CTG18.1 repeat expansion of TCF4 gene with Fuchs' corneal dystrophy in Chinese implies common causal variantGenome-wide association study identifies HLA 8.1 ancestral haplotype alleles as major genetic risk factors for myositis phenotypes.Circadian clock genes and risk of fatal prostate cancer.Genome-wide association study for refractive astigmatism reveals genetic co-determination with spherical equivalent refractive error: the CREAM consortiumGenetic relationships between suicide attempts, suicidal ideation and major psychiatric disorders: a genome-wide association and polygenic scoring study.An interactive association of advanced glycation end-product receptor gene four common polymorphisms with coronary artery disease in northeastern Han Chinese.Joint GWAS Analysis: Comparing similar GWAS at different genomic resolutions identifies novel pathway associations with six complex diseases.Association of aspirin and NSAID use with risk of colorectal cancer according to genetic variants.A review of study designs and statistical methods for genomic epidemiology studies using next generation sequencing.
P2860
Q24273409-FD637C54-39AD-4BF1-A174-22A2C116A1A3Q24289398-E9541B9E-EAD7-4EDA-8A64-A39548141626Q26766390-45CA995D-87ED-4F9C-9A35-36F0A88F00E4Q26774595-9255FA8C-9E03-4F66-8F3E-0348B2D3EFACQ26852733-72D4BE83-3FB9-424E-996E-A4D7C28D6F5BQ28075456-3DF8C339-F25B-450D-B66F-45F1E2699A00Q28383497-B660895D-2097-4C1B-8682-F6BFF6C85B43Q28385219-F7815975-B669-4B24-9FEE-5C8E10F89F14Q28392036-38C8D662-2E28-46C0-883A-659532C49451Q28542010-1F78C83B-7874-4102-8056-38999C5E5A18Q28652448-12E1316C-9A91-4CFB-B9B2-91EEC0610DF2Q28655601-E6F9847E-BC64-4A49-8ED5-DAFDA0B79F0BQ29248529-92620DD8-5C43-4458-A5DE-14F0ECFEDB95Q30241340-4BED9588-2059-40D7-B46D-3F7528ADC31BQ30275688-9155EF1A-BE74-4005-8237-05A882D3C026Q30277281-1FF9AB65-8AAE-4368-B512-CD4DE1F935FDQ30797667-DEBDADFD-19BB-4A17-83E1-E71B0270FF1FQ30894754-406DDF98-2299-4CEE-A94D-158A04C8E640Q30920663-32EEED5E-E4A8-4D81-9EBB-F1EE28B5A5F1Q30981389-E33CF335-F033-4C6A-B796-2D8D5EFA550BQ31060244-C84065B7-D7EB-43AB-BF05-323DB517187BQ31128388-77C19544-2BE5-4F43-A974-2C7BBBFB080CQ33597657-825267A0-4F4D-46DA-A07B-5664374E423BQ33634796-8B43416D-D394-4A5D-BB4A-162125C94724Q33635688-99CA220F-4033-4183-BD86-1652ABA57F89Q33705559-B823A4B0-EABE-4F4E-BEA4-1E99A1F81D36Q33717278-6285D0C2-ED70-4DDF-BABA-82B67EFBEBFAQ33983933-EE986018-DCF0-4A01-9F11-6E58B2AC1F1DQ34147889-6654B2BD-8B7F-47FA-AEAD-FB8F4F77AB59Q34346408-66C40AE8-6D6E-4C00-94D0-C46B606AF6D0Q34406579-E688D7A0-07A5-4A2D-9ED3-7791E235D28BQ34473810-BB04C73D-5D58-4742-8028-0D8A02A9F42AQ34490287-0B0A625E-A844-475D-8875-EC6034749841Q34810303-3AE77DBA-1E82-41A4-A111-09321F138E55Q34924529-3D06C9CA-62FC-4EB3-B8A3-F77D373D06A9Q35023117-1B40AF58-8F1C-4D7E-B461-F02C15559449Q35025330-30EC27A9-CBD2-440D-8E4E-26A9791CEC38Q35229857-010844D4-0593-410E-BD1E-6B8AE861F8DDQ35246178-C1BCD4AE-FED8-473F-A73B-6F314CB3EA81Q35489723-196A4193-AC5B-4B75-9221-70783D707070
P2860
Meta-analysis methods for genome-wide association studies and beyond.
description
article científic
@ca
article scientifique
@fr
articol științific
@ro
articolo scientifico
@it
artigo científico
@gl
artigo científico
@pt
artigo científico
@pt-br
artikel ilmiah
@id
artikull shkencor
@sq
artículo científico
@es
name
Meta-analysis methods for genome-wide association studies and beyond.
@en
type
label
Meta-analysis methods for genome-wide association studies and beyond.
@en
prefLabel
Meta-analysis methods for genome-wide association studies and beyond.
@en
P2860
P356
P1476
Meta-analysis methods for genome-wide association studies and beyond.
@en
P2860
P2888
P304
P356
10.1038/NRG3472
P577
2013-05-09T00:00:00Z
P6179
1004746414