Comparison of single-marker and multi-marker tests in rare variant association studies of quantitative traits.

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Comparison of single-marker and multi-marker tests in rare variant association studies of quantitative traits. is …
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scholarly articleQ13442814

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P356DOI10.1371/JOURNAL.PONE.0178504
P932PMC publication ID5451057
P698PubMed publication ID28562689

P50authorStefan KonigorskiQ88195070
Tobias PischonQ43420911
P2093author name stringYildiz E Yilmaz
P2860cites workA strategy to discover genes that carry multi-allelic or mono-allelic risk for common diseases: a cohort allelic sums test (CAST).Q51928874
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The genetics of blood pressure regulation and its target organs from association studies in 342,415 individualsQ37297746
Trans-ancestry meta-analyses identify rare and common variants associated with blood pressure and hypertensionQ37324554
Whole-exome sequencing of 2,000 Danish individuals and the role of rare coding variants in type 2 diabetesQ37367893
Meta-analysis identifies common and rare variants influencing blood pressure and overlapping with metabolic trait lociQ37658904
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Comparison of statistical tests for disease association with rare variantsQ38769458
An evaluation of statistical approaches to rare variant analysis in genetic association studiesQ39941009
Exploring the potential benefits of stratified false discovery rates for region-based testing of association with rare genetic variationQ41897152
Adaptive tests for association analysis of rare variantsQ41898785
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An abundance of rare functional variants in 202 drug target genes sequenced in 14,002 peopleQ43136367
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Negligible impact of rare autoimmune-locus coding-region variants on missing heritabilityQ30415780
Simulation of Finnish population history, guided by empirical genetic data, to assess power of rare-variant tests in FinlandQ30809578
Optimal tests for rare variant effects in sequencing association studiesQ31065241
Omics-squared: human genomic, transcriptomic and phenotypic data for genetic analysis workshop 19.Q31149227
Methods for detecting associations with rare variants for common diseases: application to analysis of sequence dataQ33359015
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Rare-variant association testing for sequencing data with the sequence kernel association testQ33954046
A powerful and adaptive association test for rare variantsQ34016536
A polygenic burden of rare disruptive mutations in schizophreniaQ34060200
The empirical power of rare variant association methods: results from sanger sequencing in 1,998 individualsQ34154481
Reconsidering association testing methods using single-variant test statistics as alternatives to pooling tests for sequence data with rare variantsQ34169930
Comparative study of statistical methods for detecting association with rare variants in exome-resequencing dataQ34177600
Multiple regression methods show great potential for rare variant association tests.Q34390755
The UK10K project identifies rare variants in health and diseaseQ34494047
Trans-ancestry genome-wide association study identifies 12 genetic loci influencing blood pressure and implicates a role for DNA methylationQ34495057
BR-squared: a practical solution to the winner's curse in genome-wide scansQ34779086
A general framework for detecting disease associations with rare variants in sequencing studiesQ35204927
Bivariate genetic association analysis of systolic and diastolic blood pressure by copula modelsQ35528152
Genetic association analysis based on a joint model of gene expression and blood pressureQ36226092
FLAGS: A Flexible and Adaptive Association Test for Gene Sets Using Summary Statistics.Q36677128
Power of single- vs. multi-marker tests of associationQ37002441
P275copyright licenseCreative Commons Attribution 4.0 InternationalQ20007257
P6216copyright statuscopyrightedQ50423863
P433issue5
P407language of work or nameEnglishQ1860
P921main subjectquantitative traitQ112670498
P304page(s)e0178504
P577publication date2017-05-31
P1433published inPLOS OneQ564954
P1476titleComparison of single-marker and multi-marker tests in rare variant association studies of quantitative traits
P478volume12

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cites work (P2860)
Q61797188A genome-wide association study identifies single nucleotide polymorphisms associated with time-to-metastasis in colorectal cancer
Q91303906Powerful rare variant association testing in a copula-based joint analysis of multiple phenotypes

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