Causal modeling in a multi-omic setting: insights from GAW20

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Causal modeling in a multi-omic setting: insights from GAW20

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scientific article published on 17 September 2018

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wetenschappelijk artikel

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наукова стаття, опублікована у вересні 2018

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Causal modeling in a multi-omic setting: insights from GAW20

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Causal modeling in a multi-omic setting: insights from GAW20

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Causal modeling in a multi-omic setting: insights from GAW20

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Causal modeling in a multi-omic setting: insights from GAW20

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Causal modeling in a multi-omic setting: insights from GAW20

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Causal modeling in a multi-omic setting: insights from GAW20

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P1476

Causal modeling in a multi-omic setting: insights from GAW20

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P2093

Anne Justice

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Jonathan Auerbach

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Karim Oualkacha

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Lai Jiang

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Liming Li

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Richard Howey

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Stella W Aslibekyan

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P2860

DNA methylation patterns associate with genetic and gene expression variation in HapMap cell lines

Mendelian randomization as an instrumental variable approach to causal inference

Comparison of methods to account for relatedness in genome-wide association studies with family-based data.

Allele-specific methylation is prevalent and is contributed by CpG-SNPs in the human genome

Heritable DNA Methylation in CD4+ Cells among Complex Families Displays Genetic and Non-Genetic Effects.

Blood lipids influence DNA methylation in circulating cells.

Curses--winner's and otherwise--in genetic epidemiology.

Thrifty metabolic programming in rats is induced by both maternal undernutrition and postnatal leptin treatment, but masked in the presence of both: implications for models of developmental programming.

Epigenetics and the environment: emerging patterns and implications.

Statistical correction of the Winner's Curse explains replication variability in quantitative trait genome-wide association studies.

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s12863-018-0645-4

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scholarly article

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10.1186/S12863-018-0645-4

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English

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Suppl 1

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Sergi Sayols-Baixeras

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2018-09-17T00:00:00Z

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P6179

1107066628

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30255779

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6157026

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