The NCBI dbGaP database of genotypes and phenotypes

By M. Mailman, M. Feolo, Y. Jin, Masato Kimura, K. Tryka, Rinat Bagoutdinov, Luning Hao, A. Kiang, J. Paschall, Lon Phan and 18 more. Nature Genetics, 2007

1,102 citations recorded by the source corpus.

Subfields: Genetics, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/a03d8f591bc3c2dbdecbd9d515e0469953a3f7ef

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Citations in the corpus

Next-Generation Machine Learning for Biological Networks. (2018, neutral): “, 2013), together with large amounts of genotypic data collected and stored in repositories such as dbGAP (Mailman et al., 2007) and the GTEx Portal (Lonsdale et al.”
Identifying Mendelian disease genes with the Variant Effect Scoring Tool (2013, methodology): “Four Miller syndrome exomes [14] and three FreemanSheldon syndrome exomes [15] were acquired in the form of short read archive (SRA) files from dbGaP [32] (Miller syndrome study accession: phs000244.”
Metabolic Reconstruction for Metagenomic Data and Its Application to the Human Microbiome (2012, methodology): “To expand on this, we performed a comprehensive test of all 232 modules against the HMP’s clinical metadata (phs000228.v3.p1 [54]) to uncover associations between microbial metabolic profiles and host phenotype.”
Next-generation phenotyping: requirements and strategies for enhancing our understanding of genotype–phenotype relationships and its relevance to crop improvement (2013, background): “One effort is NCBI’s dbGAP (Mailman et al. 2007), which was created as a public repository for phenotypes, genotypes and the associations between them.”
The disclosure of diagnosis codes can breach research participants' privacy (2010, background): “In the USA, for example, the National Institutes of Health requires data collected or analyzed under National Institutes of Health-sponsored genome-wide association studies (GWAS) to be made publicly available in resources such as the DataBase of Genotypes and Phenotypes (dbGaP) for future researche”
The Philadelphia Neurodevelopmental Cohort: A Publicly Available Resource for the Study of Normal and Abnormal Brain Development in Youth (2015, neutral): “As described in detail elsewhere (Mailman et al., 2007), dbGaP was created to be a general repository for sharing genetic and phenotypic data from large-scale studies in a secure manner.”
The harmonizome: a collection of processed datasets gathered to serve and mine knowledge about genes and proteins (2016, background): “HuGE Navigator Gene-Phenotype Associations (68) MPO Gene-Phenotype Associations (69–72) OMIM Gene-Disease Associations (73, 74) dbGAP Gene-Trait Associations (75, 76) Database, Vol.”
The NHGRI GWAS Catalog, a curated resource of SNP-trait associations (2013, background): “uk/ega), or dbGaP (7), where users must apply for access to individual-level genotype and phenotype data and comply with a data access agreement.”
Meta-analysis methods for genome-wide association studies and beyond (2013, background): “The National Center for Biotechnology Information has created a public repository (called dbGaP) for individual-level phenotype, exposure, genotype and sequence data and the associations between them 109 .”
Abundant Quantitative Trait Loci Exist for DNA Methylation and Gene Expression in Human Brain (2010, neutral): “p1) [20–22].”
PolymiRTS Database 3.0: linking polymorphisms in microRNAs and their target sites with human diseases and biological pathways (2013, background): “As described in the previous update (20), the PolymiRTS database includes GWAS data from NHGRI GWAS Catalog (40) and dbGaP (41), human expression QTL (eQTL) data from GTEx eQTL browser (42) and mouse QTL data from GeneNetwork (43).”