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Joshua S. Weinstock
University of Michigan
7Publications
1H-index
110Citations
Publications 7
Newest
#1Diptavo Dutta (UM: University of Michigan)H-Index: 2
#2Sarah A. Gagliano Taliun (UM: University of Michigan)H-Index: 2
Last.Seunggeun Lee (UM: University of Michigan)H-Index: 22
view all 11 authors...
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#1Alexander G. Bick (Harvard University)H-Index: 19
#2Joshua S. Weinstock (UM: University of Michigan)H-Index: 1
Last.Sekar Kathiresan (Broad Institute)H-Index: 106
view all 123 authors...
Age is the dominant risk factor for most chronic human diseases; yet the mechanisms by which aging confers this risk are largely unknown. Recently, the age-related acquisition of somatic mutations in regenerating hematopoietic stem cell populations was associated with both hematologic cancer incidence and coronary heart disease prevalence. Somatic mutations with leukemogenic potential may confer selective cellular advantages leading to clonal expansion, a phenomenon termed 9Clonal Hematopoiesis ...
2 CitationsSource
#1Margaret A. Taub (Johns Hopkins University)H-Index: 18
#2Joshua S. Weinstock (UM: University of Michigan)H-Index: 1
Last.Rasika A. Mathias (Johns Hopkins University)H-Index: 44
view all 125 authors...
Telomeres shorten in replicating somatic cells and with age; in human leukocytes, telomere length (TL) is associated with a host of aging-related diseases. To date, 16 genome-wide association studies (GWAS) have identified twenty-three loci associated with leukocyte TL, but prior studies were primarily in individuals of European and Asian ancestry and relied on laboratory assays including Southern Blot and qPCR to quantify TL. Here, we estimated TL bioinformatically, leveraging whole genome sequ...
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#1Gregory J.M. ZajacH-Index: 2
#2Lars G. FritscheH-Index: 27
Last.Gonçalo R. AbecasisH-Index: 144
view all 7 authors...
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#1Diptavo Dutta (UM: University of Michigan)H-Index: 2
#2S. A. Gagliano Taliun (UM: University of Michigan)H-Index: 1
Last.Seunggeun Lee (UM: University of Michigan)H-Index: 22
view all 11 authors...
Abstract The power of genetic association analyses can be increased by jointly meta-analyzing multiple correlated phenotypes. Here, we develop a meta-analysis framework, Meta-MultiSKAT, that uses summary statistics to test for association between multiple continuous phenotypes and variants in a region of interest. Our approach models the heterogeneity of effects between studies through a kernel matrix and performs a variance component test for association. Using a genotype kernel, our approach c...
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#1Dajiang J. LiuH-Index: 20
#2Gina M. PelosoH-Index: 43
Last.Sekar KathiresanH-Index: 106
view all 227 authors...
#1Dajiang J. Liu (PSU: Pennsylvania State University)H-Index: 20
#2Gina M. Peloso (Broad Institute)H-Index: 43
Last.Sekar Kathiresan (Broad Institute)H-Index: 106
view all 227 authors...
We screened variants on an exome-focused genotyping array in >300,000 participants (replication in >280,000 participants) and identified 444 independent variants in 250 loci significantly associated with total cholesterol (TC), high-density-lipoprotein cholesterol (HDL-C), low-density-lipoprotein cholesterol (LDL-C), and/or triglycerides (TG). At two loci (JAK2 and A1CF), experimental analysis in mice showed lipid changes consistent with the human data. We also found that: (i) beta-thalassemia t...
109 CitationsSource
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