Exhaustive Genome-Wide Search for SNP-SNP Interactions Across 10 Human Diseases

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Detection of Epistasis for Flowering Time Using Bayesian Multilocus Estimation in a Barley MAGIC Population.

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Q46237126-CB016BFC-C1E8-4229-99C1-B6E120B40CBF

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Exhaustive Genome-Wide Search for SNP-SNP Interactions Across 10 Human Diseases

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bilimsel makale

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scientific article published on 16 May 2016

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Exhaustive Genome-Wide Search for SNP-SNP Interactions Across 10 Human Diseases

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Exhaustive Genome-Wide Search for SNP-SNP Interactions Across 10 Human Diseases.

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Exhaustive Genome-Wide Search for SNP-SNP Interactions Across 10 Human Diseases

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Exhaustive Genome-Wide Search for SNP-SNP Interactions Across 10 Human Diseases.

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Exhaustive Genome-Wide Search for SNP-SNP Interactions Across 10 Human Diseases

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Exhaustive Genome-Wide Search for SNP-SNP Interactions Across 10 Human Diseases.

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Exhaustive Genome-Wide Search for SNP-SNP Interactions Across 10 Human Diseases

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Andrew T DeWan

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William Murk

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Genome-wide association study of asthma identifies RAD50-IL13 and HLA-DR/DQ regions

Biofilter: a knowledge-integration system for the multi-locus analysis of genome-wide association studies.

Epistasis: what it means, what it doesn't mean, and statistical methods to detect it in humans.

Improved statistics for genome-wide interaction analysis.

An evolutionary perspective on epistasis and the missing heritability

Second-generation PLINK: rising to the challenge of larger and richer datasets

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2043-2050

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scholarly article

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10.1534/G3.116.028563

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2016-05-16T00:00:00Z

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27185397

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4938657

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