L
Laura M. Raffield
Researcher at University of North Carolina at Chapel Hill
Publications - 179
Citations - 4816
Laura M. Raffield is an academic researcher from University of North Carolina at Chapel Hill. The author has contributed to research in topics: Genome-wide association study & Medicine. The author has an hindex of 23, co-authored 124 publications receiving 1948 citations. Previous affiliations of Laura M. Raffield include Medical University of South Carolina & Wake Forest University.
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Journal ArticleDOI
Circulating Soluble CD163, Associations With Cardiovascular Outcomes and Mortality, and Identification of Genetic Variants in Older Individuals: The Cardiovascular Health Study
Peter Durda,Laura M. Raffield,Ethan M. Lange,Nels C. Olson,Nancy S. Jenny,Mary Cushman,Pia Deichgraeber,Niels Grarup,Anna Jonsson,Torben Hansen,Josyf C. Mychaleckyj,Bruce M. Psaty,Alexander P. Reiner,Russell P. Tracy,Leslie A. Lange +14 more
TL;DR: In this paper , the association of sCD163 levels with cardiovascular disease events and mortality was examined using a Cox regression model, and the association was found to be associated with all-cause mortality (hazard ratio [HR], 1.08 [95% CI, 1.04-1.12] per SD increase), cardiovascular disease mortality, and incident coronary heart disease.
Posted ContentDOI
Improving polygenic risk prediction in admixed populations by explicitly modeling ancestral-specific effects via GAUDI
Quan Sun,Bryce Rowland,Jiawen Chen,Anna V. Mikhaylova,Christy L. Avery,Ulrike Peters,Jessica Lundin,Tara C. Matise,Steven Buyske,Ran Tao,Rasika A. Mathias,Alexander P. Reiner,Paul L. Auer,Nancy J. Cox,Charles Kooperberg,Timothy A. Thornton,Laura M. Raffield,Yun Li +17 more
TL;DR: GAUDI as discussed by the authors is a penalized-regression-based method specifically designed for admixed individuals by explicitly modeling ancestry-specific effects and jointly estimating ancestry-shared effects.
Posted ContentDOI
Presence and Transmission of Mitochondrial Heteroplasmic Mutations in Human Populations of European and African Ancestry
Chunyu Liu,Jessica L. Fetterman,Yong Qian,Xianbang Sun,Kaiyu Yan,Thomas W. Blackwell,Achilleas N. Pitsillides,Brian E. Cade,Brian E. Cade,Heming Wang,Heming Wang,Laura M. Raffield,Leslie A. Lange,Pramod Anugu,Gonçalo R. Abecasis,L. Adrienne Cupples,Susan Redline,Susan Redline,Adolfo Correa,Ramachandran S. Vasan,James F. Wilson,Jun Ding,Daniel Levy +22 more
TL;DR: The concordance of mitochondrial DNA heteroplasmic mutations (heteroplasmies) in different types of maternal pairs of European and African Americans with whole genome sequences is investigated to provide further evidence that mtDNA heteroplasies may be inherited or somatic.
Journal ArticleDOI
Whole genome sequence association analysis of fasting glucose and fasting insulin levels in diverse cohorts from the NHLBI TOPMed program
Daniel DiCorpo,Sheila M. Gaynor,Emily M. Russell,Kenneth Westerman,Laura M. Raffield,Timothy D. Majarian,Peitao Wu,Chloé Sarnowski,Heather M. Highland,Anne U. Jackson,Natalie R Hasbani,Paul S. de Vries,Jennifer A. Brody,Bertha Hidalgo,Xiuqing Guo,James A. Perry,Jeffrey R. O'Connell,Samantha Lent,May E. Montasser,Brian E. Cade,Deepti Jain,Heming Wang,Ricardo D’Oliveira Albanus,Arushi Varshney,Lisa R. Yanek,Leslie A. Lange,Nicholette D. Palmer,Marcio Almeida,Juan M. Peralta,Stella Aslibekyan,Abigail S. Baldridge,Alain G. Bertoni,Lawrence F. Bielak,Chung-Shiuan Chen,Yii-Der Ida Chen,Won Jung Choi,Mark O. Goodarzi,James S. Floyd,Marguerite R. Irvin,Rita Kalyani,Tanika N. Kelly,Seonwook Lee,Ching-Ti Liu,Douglas Loesch,JoAnn E. Manson,Ryan L. Minster,Take Naseri,James S. Pankow,Laura J. Rasmussen-Torvik,Alexander P. Reiner,Muagututi‘a Sefuiva Reupena,Elizabeth Selvin,Jennifer A. Smith,Daniel E. Weeks,Huichun Xu,Jie Yao,Wei Zhao,Stephen C. J. Parker,Álvaro Alonso,Donna K. Arnett,John Blangero,Eric Boerwinkle,Adolfo Correa,L. Adrienne Cupples,Joanne E. Curran,Ravindranath Duggirala,Jiang He,Susan R. Heckbert,Sharon L.R. Kardia,Ryan W. Kim,Charles Kooperberg,Simin Liu,Rasika A. Mathias,Stephen T. McGarvey,Braxton D. Mitchell,Alanna C. Morrison,Patricia A. Peyser,Bruce M. Psaty,Susan Redline,Alan R. Shuldiner,Kent D. Taylor,Ramachandran S. Vasan,Karine A. Viaud-Martinez,JC Florez,James F. Wilson,Robert Sladek,Stephen S. Rich,Jerome I. Rotter,Xihong Lin,Josée Dupuis,James B. Meigs,Jennifer Wessel,Alisa K. Manning +92 more
TL;DR: The genetic determinants of fasting glucose (FG) and fasting insulin (FI) have been studied mostly through genome arrays, resulting in over 100 associated variants as discussed by the authors , and the authors extended this work with high-coverage whole genome sequencing analyses from fifteen cohorts in NHLBI's Trans-Omics for Precision Medicine (TOPMed) program.
Posted ContentDOI
Polygenic Risk Prediction using Gradient Boosted Trees Captures Non-Linear Genetic Effects and Allele Interactions in Complex Phenotypes
Michael Elgart,Michael Elgart,Genevieve Lyons,Genevieve Lyons,Santiago Romero-Brufau,Nuzulul Kurniansyah,Jennifer A. Brody,Xiuqing Guo,Henry J. Lin,Laura M. Raffield,Yan Gao,Han Chen,Paul S. de Vries,Donald M. Lloyd-Jones,Leslie A. Lange,Gina M. Peloso,Myriam Fornage,Jerome I. Rotter,Stephen S. Rich,Alanna C. Morrison,Bruce M. Psaty,Daniel Levy,Susan Redline,Susan Redline,Tamar Sofer,Tamar Sofer +25 more
TL;DR: The authors used an ensemble method of LASSO for feature selection and gradient boosted trees (XGBoost) for non-linearities and interaction effects to predict polygenic risk scores.