The power of meta-analysis in genome-wide association studies

scientific article (publication date: 2013)

The power of meta-analysis in genome-wide association studies is …
instance of (P31):
meta-analysisQ815382
scholarly articleQ13442814

External links are
P356DOI10.1146/ANNUREV-GENOM-091212-153520
P3181OpenCitations bibliographic resource ID3157778
P932PMC publication ID4040957
P698PubMed publication ID23724904
P5875ResearchGate publication ID237001177

P50authorJoel HirschhornQ56277942
John IoannidisQ6251482
Cristen J. WillerQ37389746
Orestis A. PanagiotouQ42589634
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Genome-wide association analysis identifies loci for type 2 diabetes and triglyceride levelsQ29547214
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Integrating common and rare genetic variation in diverse human populationsQ29547220
Common SNPs explain a large proportion of the heritability for human heightQ29547221
Prediction of deleterious human allelesQ29614367
Genome-wide association study identifies eight loci associated with blood pressureQ29614414
Common genetic variation and human traitsQ29614445
Genome-wide association analysis identifies 20 loci that influence adult heightQ29614583
Genotype imputationQ29614590
A HapMap harvest of insights into the genetics of common diseaseQ29614875
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Systematic localization of common disease-associated variation in regulatory DNAQ29614895
Estimation of the multiple testing burden for genomewide association studies of nearly all common variantsQ29614917
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Genetic mapping in human diseaseQ29614943
Loci influencing lipid levels and coronary heart disease risk in 16 European population cohortsQ29614946
Rare variants create synthetic genome-wide associationsQ29614955
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Common variants in the GDF5-UQCC region are associated with variation in human heightQ30435234
Lack of replication of thirteen single-nucleotide polymorphisms implicated in Parkinson's disease: a large-scale international studyQ30539203
Identification, replication, and fine-mapping of Loci associated with adult height in individuals of african ancestryQ31036626
Optimal tests for rare variant effects in sequencing association studiesQ31065241
Meta-analysis in genome-wide association datasets: strategies and application in Parkinson diseaseQ33276409
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Identifying relationships among genomic disease regions: predicting genes at pathogenic SNP associations and rare deletionsQ33474863
Discovery properties of genome-wide association signals from cumulatively combined data setsQ33508966
Prioritizing GWAS results: A review of statistical methods and recommendations for their applicationQ33571786
Synthetic associations are unlikely to account for many common disease genome-wide association signalsQ33803713
The False-positive to False-negative Ratio in Epidemiologic StudiesQ34178142
Problems of reporting genetic associations with complex outcomesQ34184173
Low LDL cholesterol in individuals of African descent resulting from frequent nonsense mutations in PCSK9.Q34385127
On the relative efficiency of using summary statistics versus individual-level data in meta-analysisQ34437384
Prediction of individual genetic risk to disease from genome-wide association studiesQ34676890
P433issue1
P407language of work or nameEnglishQ1860
P921main subjectmeta-analysisQ815382
genome-wide association studyQ1098876
P304page(s)441-65
P577publication date2013-01-01
P1433published inAnnual Review of Genomics and Human GeneticsQ567360
P1476titleThe power of meta-analysis in genome-wide association studies
P478volume14

Reverse relations

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