MOTIVATION: Recently there has been increasing interest in the effects
of cell mixture on the measurement of DNA methylation, specifically
the extent to which small perturbations in cell mixture proportions can
register as changes in DNA methylation. A recently published set of
statistical methods exploits this association to infer changes...
Full Text:
identify in red the 387 values from CpGs in the reference set supplied by
Houseman et al. (2012) and
MOTIVATION: Recently there has been increasing interest in the effects
of cell mixture on the measurement of DNA methylation, specifically
the extent to which small perturbations in cell mixture proportions can
register as changes in DNA methylation. A recently published set of
statistical methods exploits this association to infer changes...
Full Text:
methylation data
Reference-free cell mixture adjustments in analysis of DNA methylation
data
Houseman, E
MOTIVATION: Recently there has been increasing interest in the effects
of cell mixture on the measurement of DNA methylation, specifically
the extent to which small perturbations in cell mixture proportions can
register as changes in DNA methylation. A recently published set of
statistical methods exploits this association to infer changes...
Background: There has been a long-standing need in biomedical research for a method that quantifies the normally mixed composition of leukocytes beyond what is possible by simple histological or flow cytometric assessments. The latter is restricted by the labile nature of protein epitopes, requirements for cell processing, and timely cell...
Background: Arsenic is an immunotoxicant. Clinical reports observe the reactivation of varicella zoster virus (VZV) in people who have recovered from arsenic poisoning and in patients with acute promyelocytic leukemia that have been treated with arsenic trioxide. Objective: We evaluated the association between arsenic and the seroprevalence of VZV IgG...
Exposure to arsenic early in life has been associated with increased risk of several chronic diseases and is believed to alter epigenetic programming in utero. In the present study, we evaluate the epigenome-wide association of arsenic exposure in utero and DNA methylation in placenta (n=37), umbilical artery (n=45) and human...
BACKGROUND: The impact of cell-composition effects in analysis of DNA methylation data is now widely appreciated.
With the availability of a reference data set consisting of DNA methylation measurements on isolated cell types, it is
possible to impute cell proportions and adjust for them, but there is increasing interest in...
Full Text:
Methylation Array Data: a Mathematical Perspective
Supplementary Material
E. Andres Houseman, Kelsey T
BACKGROUND: The impact of cell-composition effects in analysis of DNA methylation data is now widely appreciated.
With the availability of a reference data set consisting of DNA methylation measurements on isolated cell types, it is
possible to impute cell proportions and adjust for them, but there is increasing interest in...
Full Text:
methylation array data:
a mathematical perspective
Houseman, E. A., Kelsey, K. T., Wiencke, J. K., & Marsit
Background: Prenatal mercury (Hg) exposure is associated with adverse child neurobehavioral
outcomes. Because Hg can interfere with placental functioning and cross the placenta to target the
fetal brain, prenatal Hg exposure can inhibit fetal growth and development directly and indirectly.
Objectives: We examined potential associations between prenatal Hg exposure assessed...
Full Text:
Neurobehavioral Outcomes
Jennifer Z.J. Maccani, Devin C. Koestler, Barry Lester, E. Andrés Houseman, David A
Background: Prenatal mercury (Hg) exposure is associated with adverse child neurobehavioral
outcomes. Because Hg can interfere with placental functioning and cross the placenta to target the
fetal brain, prenatal Hg exposure can inhibit fetal growth and development directly and indirectly.
Objectives: We examined potential associations between prenatal Hg exposure assessed...
Full Text:
Jennifer Z.J. Maccani, Devin C. Koestler, Barry Lester, E. Andrés Houseman, David A.
Armstrong, Karl T