26 genetic regions associated with lung function were sequenced to gain insight to the biological pathways that are linked to increased risk of developing COPD. The data was then pooled and analyzed against samples from the NHGRI repository to deduce their findings.
read moreScientists use data from 1000 Genomes samples to identify 23 new genes associated with vitiligo.
read moreImputation panel data generated from 1000 Genomes samples helps researchers identify 16 new genetic risk variants associated with various cardiometabolic and hematological traits.
read moreUsing publicly available data, including data generated from samples collected for the International HapMap and 1000 Genomes Projects, researchers have identified genetic variants previously thought to cause hypertrophic cardiomyopathy that are overrepresented in the general population, but lead to misdiagnoses in some underrepresented populations.
read moreThe Coriell Institute for Medical Research has received a $4.25M grant from the National Human Genome Research Institute (NHGRI), a division of the National Institutes of Health (NIH).
read moreIGHV1-69 is one of approximately 50 genes responsible for antibody generation against the influenza A virus. The findings of this study will contribute to ongoing efforts to develop a "universal" flu vaccine.
read moreIn a recent publication in Nature Genetics, researchers describe three newly discovered genes that contribute to the development of glaucoma. These genes were identified with the help of data collected from 1000 Genomes samples.
read moreUtilizing genotype and gene expression data obtained from 1000 Genomes samples, researchers at Columbia University studied the function of Short Tandem Repeats in gene expression.
read moreData obtained from the 1000 Genomes project used in a Genome-wide association study to identify five new genetic variants linked to glioma susceptibility.
read moreResearchers tested the toxicity of 156 compounds on lymphoblastoid cell lines from the 1000 Genomes Project to create an algorithm to predict the response of individuals and populations to these compounds.
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