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1000 Genomes-based meta-analysis identifies 10 novel loci for kidney function.

Title1000 Genomes-based meta-analysis identifies 10 novel loci for kidney function.
Publication TypeJournal Article
Year of Publication2017
AuthorsGorski M, van der Most PJ, Teumer A, et al.
Secondary AuthorsFuchsberger C
JournalSci Rep
Date Published2017 04 28
KeywordsComputational Biology, Gene Frequency, Genetic Loci, Genome, Human, Genome-Wide Association Study, Genotyping Techniques, Humans, Kidney, Polymorphism, Single Nucleotide

HapMap imputed genome-wide association studies (GWAS) have revealed >50 loci at which common variants with minor allele frequency >5% are associated with kidney function. GWAS using more complete reference sets for imputation, such as those from The 1000 Genomes project, promise to identify novel loci that have been missed by previous efforts. To investigate the value of such a more complete variant catalog, we conducted a GWAS meta-analysis of kidney function based on the estimated glomerular filtration rate (eGFR) in 110,517 European ancestry participants using 1000 Genomes imputed data. We identified 10 novel loci with p-value 

Alternate JournalSci Rep
PubMed ID28452372
PubMed Central IDPMC5408227
Grant ListR21 DK112087 / DK / NIDDK NIH HHS / United States
S10 OD018522 / OD / NIH HHS / United States
UM1 CA182913 / CA / NCI NIH HHS / United States