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Meher Preethi Boorgula
University of Colorado Denver
23Publications
9H-index
293Citations
Publications 23
Newest
#1Michelle Daya (University of Colorado Denver)H-Index: 10
#2Nicholas Rafaels (University of Colorado Denver)H-Index: 26
Last.Kathleen C. Barnes (University of Colorado Denver)H-Index: 59
view all 65 authors...
Asthma is a complex disease with striking disparities across racial and ethnic groups. Despite its relatively high burden, representation of individuals of African ancestry in asthma genome-wide association studies (GWAS) has been inadequate, and true associations in these underrepresented minority groups have been inconclusive. We report the results of a genome-wide meta-analysis from the Consortium on Asthma among African Ancestry Populations (CAAPA; 7009 asthma cases, 7645 controls). We find ...
#1Meher Preethi Boorgula (University of Colorado Denver)H-Index: 9
#2Margaret A. Taub (Johns Hopkins University)H-Index: 18
Last.Kathleen C. Barnes (University of Colorado Denver)H-Index: 59
view all 21 authors...
Although epigenetic mechanisms are important risk factors for allergic disease, few studies have evaluated DNA methylation differences associated with atopic dermatitis (AD), and none has focused on AD with eczema herpeticum (ADEH+). We will determine how methylation varies in AD individuals with/without EH and associated traits. We modeled differences in genome-wide DNA methylation in whole blood cells from 90 ADEH+, 83 ADEH−, and 84 non-atopic, healthy control subjects, replicating in 36 ADEH+...
#1Michelle Daya (University of Colorado Denver)H-Index: 10
#2Caapa (University of Colorado Denver)
Last.Kathleen C. Barnes (University of Colorado Denver)H-Index: 59
view all 66 authors...
#1Alexandra Winters (Johns Hopkins University)
#2Henry T. Bahnson (BRI: Benaroya Research Institute)H-Index: 43
Last.Rasika A. Mathias (Johns Hopkins University)H-Index: 44
view all 16 authors...
#1Rachel M. Sherman (Johns Hopkins University)H-Index: 2
#2Juliet Forman (HMC: Harvey Mudd College)H-Index: 1
Last.Steven L. SalzbergH-Index: 128
view all 46 authors...
In the version of this article initially published, the statement “there are no pan-genomes for any other animal or plant species” was incorrect. The statement has been corrected to “there are no reported pan-genomes for any other animal species, to our knowledge.” We thank David Edwards for bringing this error to our attention. The error has been corrected in the HTML and PDF versions of the article.
#1Michelle Daya (CU: University of Colorado Boulder)H-Index: 10
#2Nicholas Rafaels (CU: University of Colorado Boulder)H-Index: 26
Last.Kathleen C. Barnes (CU: University of Colorado Boulder)H-Index: 59
view all 65 authors...
#1Rachel M. Sherman (Johns Hopkins University)H-Index: 2
#2Juliet Forman (HMC: Harvey Mudd College)H-Index: 1
Last.Steven L. SalzbergH-Index: 128
view all 46 authors...
We used a deeply sequenced dataset of 910 individuals, all of African descent, to construct a set of DNA sequences that is present in these individuals but missing from the reference human genome. We aligned 1.19 trillion reads from the 910 individuals to the reference genome (GRCh38), collected all reads that failed to align, and assembled these reads into contiguous sequences (contigs). We then compared all contigs to one another to identify a set of unique sequences representing regions of th...
#1Seyedeh M. Zekavat (Yale University)H-Index: 13
#2Sanni Ruotsalainen (UH: University of Helsinki)H-Index: 4
Last.Sebastian Zoellner (UM: University of Michigan)H-Index: 3
view all 343 authors...
Lipoprotein(a), Lp(a), is a modified low-density lipoprotein particle that contains apolipoprotein(a), encoded by LPA, and is a highly heritable, causal risk factor for cardiovascular diseases that varies in concentrations across ancestries. Here, we use deep-coverage whole genome sequencing in 8392 individuals of European and African ancestry to discover and interpret both single-nucleotide variants and copy number (CN) variation associated with Lp(a). We observe that genetic determinants betwe...
#1Peter J. Castaldi (Harvard University)H-Index: 25
#2Marta BenetH-Index: 20
Last.Judith Garcia-AymerichH-Index: 44
view all 29 authors...
Background COPD is a heterogeneous disease, but there is little consensus on specific definitions for COPD subtypes. Unsupervised clustering offers the promise of ‘unbiased’ data-driven assessment of COPD heterogeneity. Multiple groups have identified COPD subtypes using cluster analysis, but there has been no systematic assessment of the reproducibility of these subtypes. Objective We performed clustering analyses across 10 cohorts in North America and Europe in order to assess the reproducibil...
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