C
ClarLynda R. Williams-DeVane
Researcher at North Carolina Central University
Publications - 14
Citations - 394
ClarLynda R. Williams-DeVane is an academic researcher from North Carolina Central University. The author has contributed to research in topics: Obesity & Diabetes mellitus. The author has an hindex of 7, co-authored 14 publications receiving 298 citations. Previous affiliations of ClarLynda R. Williams-DeVane include Fisk University & Duke University.
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Journal ArticleDOI
Maternal BMI at the start of pregnancy and offspring epigenome-wide DNA methylation: findings from the pregnancy and childhood epigenetics (PACE) consortium
Gemma C Sharp,Gemma C Sharp,Lucas A. Salas,Lucas A. Salas,Claire Monnereau,Claire Monnereau,Catherine Allard,Paul Yousefi,Todd M. Everson,Jon Bohlin,Zongli Xu,Rae-Chi Huang,Sarah E. Reese,Cheng-Jian Xu,Nour Baïz,Cathrine Hoyo,Golareh Agha,Ritu Roy,Ritu Roy,John W. Holloway,Akram Ghantous,Simon Kebede Merid,Kelly M. Bakulski,Leanne K. Küpers,Hongmei Zhang,Rebecca C Richmond,Christian M. Page,Liesbeth Duijts,Liesbeth Duijts,Rolv T. Lie,Phillip E. Melton,Judith M. Vonk,Ellen A. Nohr,ClarLynda R. Williams-DeVane,Karen Huen,Sheryl L. Rifas-Shiman,Carlos Ruiz-Arenas,Semira Gonseth,Semira Gonseth,Faisal I. Rezwan,Zdenko Herceg,Sandra Ekström,Lisa A. Croen,Fahimeh Falahi,Patrice Perron,Margaret R. Karagas,Bilal M. Quraishi,Matthew Suderman,Maria C. Magnus,Maria C. Magnus,Vincent W. V. Jaddoe,Vincent W. V. Jaddoe,Jack A. Taylor,Jack A. Taylor,Denise Anderson,Shanshan Zhao,Henriette A. Smit,Michele J. Josey,Michele J. Josey,Asa Bradman,Andrea A. Baccarelli,Mariona Bustamante,Siri E. Håberg,Göran Pershagen,Göran Pershagen,Irva Hertz-Picciotto,Craig J. Newschaffer,Eva Corpeleijn,Luigi Bouchard,Debbie A Lawlor,Rachel L. Maguire,Lisa F. Barcellos,George Davey Smith,Brenda Eskenazi,Wilfried Karmaus,Carmen J. Marsit,Marie-France Hivert,Marie-France Hivert,Harold Snieder,M. Daniele Fallin,Erik Melén,Erik Melén,Erik Melén,Monica Cheng Munthe-Kaas,Monica Cheng Munthe-Kaas,S. Hasan Arshad,S. Hasan Arshad,Joseph L. Wiemels,Isabella Annesi-Maesano,Martine Vrijheid,Emily Oken,Nina Holland,Susan K. Murphy,Thorkild I. A. Sørensen,Thorkild I. A. Sørensen,Thorkild I. A. Sørensen,Gerard H. Koppelman,John P. Newnham,Allen J. Wilcox,Wenche Nystad,Stephanie J. London,Janine F. Felix,Janine F. Felix,Caroline L Relton +103 more
TL;DR: In this article, the association between pre-pregnancy maternal BMI and methylation at over 450,000 sites in newborn blood DNA, across 19 cohorts (9,340 mother-newborn pairs).
Journal ArticleDOI
Overall gestational weight gain mediates the relationship between maternal and child obesity
Michele J. Josey,Michele J. Josey,Lauren E. McCullough,Cathrine Hoyo,ClarLynda R. Williams-DeVane,ClarLynda R. Williams-DeVane +5 more
TL;DR: GWG mediated the relationship between maternal BMI and childhood adiposity and highlighted an important public health education opportunity to stress the impact of a pre-pregnancy weight and excessive GWG on the risk of child obesity for all mothers.
Journal ArticleDOI
Race-associated biological differences among luminal A and basal-like breast cancers in the Carolina Breast Cancer Study.
Humberto Parada,Xuezheng Sun,Jodie M. Fleming,ClarLynda R. Williams-DeVane,Erin L. Kirk,Linnea T. Olsson,Charles M. Perou,Andrew F. Olshan,Melissa A. Troester +8 more
TL;DR: Compared to white women, black women had lower expression of MUC1, a suspected good prognosis gene, and higher expression of GSTT2, PSPHL, SQLE, and TYMS, suspected poor prognosis genes, after adjustment for age and PAM50 subtype.
Journal ArticleDOI
Decision tree-based method for integrating gene expression, demographic, and clinical data to determine disease endotypes
ClarLynda R. Williams-DeVane,ClarLynda R. Williams-DeVane,David M. Reif,David M. Reif,Elaine A. Cohen Hubal,Pierre R. Bushel,Edward Hudgens,Jane E. Gallagher,Stephen W. Edwards +8 more
TL;DR: A multi-step decision tree-based method is described for defining endotypes based on gene expression, clinical covariates, and disease indicators using childhood asthma as a case study and it gives the best segregation of asthmatics and non-asthmatics.
Journal ArticleDOI
Data-driven asthma endotypes defined from blood biomarker and gene expression data.
Barbara Jane George,David M. Reif,Jane E. Gallagher,ClarLynda R. Williams-DeVane,Brooke L Heidenfelder,Edward Hudgens,Wendell D. Jones,Lucas M. Neas,Elaine A. Cohen Hubal,Stephen W. Edwards +9 more
TL;DR: This study describes four distinct asthma endotypes identified via a purely data-driven method, specifically designed to integrate blood gene expression and clinical biomarkers in a way that provides new mechanistic insights regarding the different asthma endotype.