Bradley Todd Webb
RTI International
3 Papers
6 Citations
Bradley Todd Webb is an academic researcher from RTI International. The author has contributed to research in topics: Genome-wide association study & Heritability. The author has co-authored 3 publications.
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Papers
Multi-trait genome-wide association study of opioid addiction: OPRM1 and beyond
Nathan C. Gaddis,Ravi Mathur,Jesse Marks,Linran Zhou,Bryan C. Quach,Alex Waldrop,Orna Levran,Arpana Agrawal,Matthew Randesi,Miriam Adelson,Paul W. Jeffries,Emma C. Johnson,Nicholas G. Martin,Louisa Degenhardt,Grant W. Montgomery,Leah Wetherill,Dongbing Lai,Kathleen K. Bucholz,Tatiana Foroud,Bernice Porjesz,Bradley Todd Webb,Richard C. Crist,Henry R. Kranzler,Hang Zhou,Gary K. Hulse,Dieter B. Wildenauer,Erin Kelty,John Attia,Elizabeth G. Holliday,Mark McEvoy,Rodney J. Scott,Sibylle G. Schwab,Brion S. Maher,Richard Gruza,Mary Jeanne Kreek,Elliot C. Nelson,Wade H Berrettini,Joel Gelernter,Howard J. Edenberg,Laura J. Bierut,Dana B. Hancock,Eric O. Johnson +41 more
TL;DR: The authors applied genomic structural equation modeling to conduct a GWAS of the new Genetics of Opioid Addiction Consortium (GENOA) data and published studies (Psychiatric Genomics Consortium, Million Veteran Program, and Partners Health), comprising 23,367 cases and effective sample size of 88,114 individuals of European ancestry.
Missingness Adapted Group Informed Clustered (MAGIC)-LASSO: A novel paradigm for prediction in data with widespread non-random missingness
TL;DR: MAGIC-LASSO as discussed by the authors performs hierarchical clustering of variables based on missingness followed by sequential group LASSO within clusters, where variables are pre-filtered for missingness and balance between training and target sets with final models built using stepwise inclusion of features ranked by completeness.
Investigating the source of increased bipolar and major depressive disorder polygenic risk in multiplex schizophrenia families
Mohammad Ahangari,Robert M. Kirkpatrick,Tan-Hoang Nguyen,Nathan A. Gillespie,Kenneth S. Kendler,Silviu-Alin Bacanu,Bradley Todd Webb,Brian C. Verrelli,Brien P. Riley +8 more
TL;DR: In this paper, the authors investigated the polygenic risk burden of BIP and MDD in a sample of 257 multiplex SCZ families (N=1,005) and population controls (N = 2,205).