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Combining Human Genetics and Causal Inference to Understand Human Disease and Development / edited by George Davey Smith, Rebecca Richmond and Jean-Baptiste Pingault.

By: Contributor(s): Material type: TextTextSeries: Cold Spring Harbor perspectives in medicinePublication details: Cold Spring Harbor, New York : Cold Spring Harbor Laboratory Press, [2022]Description: xi, 253 p. : illustrations (some color) ; 27 cmISBN:
  • 9781621823810
  • 9781621823827
Subject(s): DDC classification:
  • 616.042 SMC
Contents:
Foreword / Ewan Birney -- New opportunities / George Davey Smith, Rebecca Richmond, John-Baptiste Pingault -- The meaning of "cause" in genetics / Kate E. Lynch -- Twins and causal inference : leveraging nature's experiment / Tom A. McAdams, Fruhling V. Rijsdijk, Helena M.S. Zavos, and Jean-Baptiste Pingault -- Family-based designs that disentangle inherited factors from pre- and postnatal environmental exposures : in vitro fertilization, discordant sibling pairs, maternal versus paternal comparisons, and adoption designs / Anita Thapar and Frances Rice -- Mendelian randomization : concepts and scope / Rebecca C. Richmond and George Smith Davey -- Polygenic Mendelian randomization / Frank Dudbridge -- Multivariable Mendelian randomization and mediation / Eleanor Sanderson -- Integrating family-based and mendelian randomization designs / Liang-Dar Hwang, Neil M. Davies, Nicole M. Warrington, and David M. Evans -- Causal inference methods to integrate omics and complex traits / Eleonora Porcu, Jennifer Sjaarda, Kaido Lepik, Cristian Carmeli, Liza Darrous, Jonathan Sulc, Ninon Mounier, and Zoltán Kutalik -- Computational tools for causal inference in genetics / Tom G. Richardson, Jie Zheng, and Tom R. Gaunt -- Using Mendelian randomization to improve the design of randomized trials / Brian A. Ference, Michael V. Holmes, George Davey Smith -- Triangulating evidence through the inclusion of genetically informed designs / Marcus R. Munafò, Julian P.T. Higgins, and George Davey Smith.
Summary: "Mendelian randomization and related techniques allow researchers to use knowledge about genetic factors that contribute to a disease to predict whether other risk factors, such as environmental exposure, play a part. This volume examines how these approaches allow researchers to make causal inferences about modifiable exposures and how this can benefit public health"-- Provided by publisher.
Item type: Books List(s) this item appears in: Fisheries & Marine Resource Technology Discipline | Forestry & Wood Technology Discipline
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Holdings
Item type Current library Collection Shelving location Call number Copy number Status Date due Barcode
Books Books KU Central Library Rack No. : 27 Shelve No. : B-06 Reference Section (Non-Issuable Books) 616.042 SMC 2022 (Browse shelf(Opens below)) C-1 (NI) Not For Loan 51476
Books Books KU Central Library Rack No. : 27 Shelve No. : B-06 Reference Section (Non-Issuable Books) 616.042 SMC 2022 (Browse shelf(Opens below)) C-2 (NI) Not For Loan 51477

Includes bibliographical references and index.

Foreword / Ewan Birney -- New opportunities / George Davey Smith, Rebecca Richmond, John-Baptiste Pingault -- The meaning of "cause" in genetics / Kate E. Lynch -- Twins and causal inference : leveraging nature's experiment / Tom A. McAdams, Fruhling V. Rijsdijk, Helena M.S. Zavos, and Jean-Baptiste Pingault -- Family-based designs that disentangle inherited factors from pre- and postnatal environmental exposures : in vitro fertilization, discordant sibling pairs, maternal versus paternal comparisons, and adoption designs / Anita Thapar and Frances Rice -- Mendelian randomization : concepts and scope / Rebecca C. Richmond and George Smith Davey -- Polygenic Mendelian randomization / Frank Dudbridge -- Multivariable Mendelian randomization and mediation / Eleanor Sanderson -- Integrating family-based and mendelian randomization designs / Liang-Dar Hwang, Neil M. Davies, Nicole M. Warrington, and David M. Evans -- Causal inference methods to integrate omics and complex traits / Eleonora Porcu, Jennifer Sjaarda, Kaido Lepik, Cristian Carmeli, Liza Darrous, Jonathan Sulc, Ninon Mounier, and Zoltán Kutalik -- Computational tools for causal inference in genetics / Tom G. Richardson, Jie Zheng, and Tom R. Gaunt -- Using Mendelian randomization to improve the design of randomized trials / Brian A. Ference, Michael V. Holmes, George Davey Smith -- Triangulating evidence through the inclusion of genetically informed designs / Marcus R. Munafò, Julian P.T. Higgins, and George Davey Smith.

"Mendelian randomization and related techniques allow researchers to use knowledge about genetic factors that contribute to a disease to predict whether other risk factors, such as environmental exposure, play a part. This volume examines how these approaches allow researchers to make causal inferences about modifiable exposures and how this can benefit public health"-- Provided by publisher.

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