Proper joint analysis of summary association statistics requires the adjustment of heterogeneity in SNP coverage pattern.

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Proper joint analysis of summary association statistics requires the adjustment of heterogeneity in SNP coverage pattern.

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Proper joint analysis of summa ...... neity in SNP coverage pattern.

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Proper joint analysis of summa ...... neity in SNP coverage pattern.

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Proper joint analysis of summa ...... neity in SNP coverage pattern.

@en

Proper joint analysis of summa ...... neity in SNP coverage pattern.

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Proper joint analysis of summa ...... neity in SNP coverage pattern.

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Proper joint analysis of summa ...... neity in SNP coverage pattern.

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P1476

Proper joint analysis of summa ...... neity in SNP coverage pattern.

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P2093

Han Zhang

http://www.w3.org/2001/XMLSchema#string

Kai Yu

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Lei Song

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William Wheeler

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P2860

Common inherited variation in mitochondrial genes is not enriched for associations with type 2 diabetes or related glycemic traits

An integrated map of genetic variation from 1,092 human genomes

Rare-variant association analysis: study designs and statistical tests

Large-scale association analysis provides insights into the genetic architecture and pathophysiology of type 2 diabetes

DISSCO: direct imputation of summary statistics allowing covariates

Meta-analysis of genome-wide association studies identifies eight new loci for type 2 diabetes in east Asians.

METAL: fast and efficient meta-analysis of genomewide association scans

Common SNPs explain a large proportion of the heritability for human height

VSEAMS: a pipeline for variant set enrichment analysis using summary GWAS data identifies IKZF3, BATF and ESRRA as key transcription factors in type 1 diabetes.

Combining information on multiple instrumental variables in Mendelian randomization: comparison of allele score and summarized data methods.

P304

1337-1343

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scholarly article

P356

10.1093/BIB/BBX072

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P433

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P478

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P577

2018-11-01T00:00:00Z

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P698

28981575

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P921

Amar

P932

6454427

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