Tractor uses local ancestry to enable the inclusion of admixed individuals in GWAS and to boost power
Year: 2021
Type: article
Source: Nature Genetics
Institutions: Broad Institute, Massachusetts General Hospital, Stanley Center for Psychiatric Research, University of California San Diego, Harvard University, The University of Osaka, Universidade Federal de São Paulo, The University of Tokyo, Institute for Open and Transdisciplinary Research Initiatives, Immunology Frontier Research Center, The University of Osaka, University of Helsinki, Institute for Molecular Medicine Finland
Language: English
Subfield: Genetics
Domain: Life Sciences
Open Access status: green
Funders: U.S. Department of Health and Human Services, Japan Agency for Medical Research and Development, Masason Foundation, Ministry of Education, Culture, Sports, Science and Technology, Fundação de Amparo à Pesquisa do Estado de São Paulo, Heiwa Nakajima Foundation, Japan Society for the Promotion of Science, National Institute of Mental Health, National Institute of Diabetes and Digestive and Kidney Diseases
Awards: Generalizing polygenic risk prediction methods across populations for insights into psychiatric disease, Training Program in Psychiatric Genetics and Translational Research, G3206782191, G3400750085, G4239994382, G4270066976, A framework enabling the genomic analysis of psychiatric traits across admixed populations., Generalizing polygenic risk prediction methods across populations for insights into psychiatric disease, Re-annotation of large-scale human genome data by integration of statistical genetics and operations research, Elucidation of disease biology and tissue specificity by trans-layer omics analysis and whole-genome sequencing, 4/7 Psychiatric Genomics Consortium: Advancing Discovery and Impact, Psychiatric Genomics Consortium for PTSD, Statistical methods to localize disease heritability and identify biological mechanisms, Center for the Study of Inflammatory Bowel Disease at Massachusetts General Hospital
OpenAlex ID: W3123537370