The many faces of pleiotropy
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TLDR
It is concluded that, for any question about the nature or extent of pleiotropy, the appropriate answer is always 'What do you mean?'.About:
This article is published in Trends in Genetics.The article was published on 2013-02-01 and is currently open access. It has received 371 citations till now. The article focuses on the topics: Genetic Pleiotropy & Pleiotropy (drugs).read more
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Detection and interpretation of shared genetic influences on 42 human traits
TL;DR: A method to identify pairs of traits that have multiple genetic causes in common that show evidence of a causal relationship is developed, and shows evidence that increased body mass index causally increases triglyceride levels.
Journal ArticleDOI
Oxidative Stress in Cancer.
TL;DR: During progression and metastasis, tumor cells adapt to oxidative stress by increasing NADPH in various ways, including activation of AMPK, the PPP, and reductive glutamine and folate metabolism.
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Network biology concepts in complex disease comorbidities
TL;DR: Linking network dynamics to the real-life, non-ideal patient in whom diseases co-occur and interact provides a valuable basis for generating hypotheses on molecular disease mechanisms, and provides knowledge that can facilitate drug repurposing and the development of targeted therapeutic strategies.
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Using genetic data to strengthen causal inference in observational research.
Jean-Baptiste Pingault,Jean-Baptiste Pingault,Paul F. O'Reilly,Tabea Schoeler,George B. Ploubidis,Fruhling Rijsdijk,Frank Dudbridge +6 more
TL;DR: This Review discusses the various genetics-focused statistical methodologies that can move beyond mere associations to identify (or refute) various mechanisms of causality, with implications for responsibly managing risk factors in health care and the behavioural and social sciences.
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Distinguishing genetic correlation from causation across 52 diseases and complex traits
TL;DR: A new latent causal variable (LCV) model is presented that distinguishes between genetic correlation and causation, and across 52 traits, 30 causal relationships with high genetic causality proportion estimates are identified.
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Pleiotropy, natural selection, and the evolution of senescence
TL;DR: August Weismann's theory is subject to a number of criticisms, the most forceful of which are: 1) The fallacy of identifying senescence with mechanical wear, 2) the extreme rarity, in natural populations, of individuals that would be old enough to die of the postulated death-mechanism, 3) the failure of several decades of gerontological research to uncover any deathmechanisms, and 4) the difficulties involved in visualizing how such a feature could be produced