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Start Over Author "Kammers, Kai" Journal nature communications
3 results on '"Kammers, Kai"'

1. Multi-omics in nasal epithelium reveals three axes of dysregulation for asthma risk in the African Diaspora populations

Author

Szczesny, Brooke, Boorgula, Meher Preethi, Chavan, Sameer, Campbell, Monica, Johnson, Randi K., Kammers, Kai, Thompson, Emma E., Cox, Madison S., Shankar, Gautam, Cox, Corey, Morin, Andréanne, Lorizio, Wendy, Daya, Michelle, Kelada, Samir N. P., Beaty, Terri H., Doumatey, Ayo P., Cruz, Alvaro A., Watson, Harold, Naureckas, Edward T., Giles, B. Louise, Arinola, Ganiyu A., Sogaolu, Olumide, Falade, Adegoke G., Hansel, Nadia N., Yang, Ivana V., Olopade, Christopher O., Rotimi, Charles N., Landis, R. Clive, Figueiredo, Camila A., Altman, Matthew C., Kenny, Eimear, Ruczinski, Ingo, Liu, Andrew H., Ober, Carole, Taub, Margaret A., Barnes, Kathleen C., and Mathias, Rasika A.

Published
2024
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2. Whole genome sequencing identifies structural variants contributing to hematologic traits in the NHLBI TOPMed program

Author

Wheeler, Marsha M, Stilp, Adrienne M, Rao, Shuquan, Halldórsson, Bjarni V, Beyter, Doruk, Wen, Jia, Mihkaylova, Anna V, McHugh, Caitlin P, Lane, John, Jiang, Min-Zhi, Raffield, Laura M, Jun, Goo, Sedlazeck, Fritz J, Metcalf, Ginger, Yao, Yao, Bis, Joshua B, Chami, Nathalie, de Vries, Paul S, Desai, Pinkal, Floyd, James S, Gao, Yan, Kammers, Kai, Kim, Wonji, Moon, Jee-Young, Ratan, Aakrosh, Yanek, Lisa R, Almasy, Laura, Becker, Lewis C, Blangero, John, Cho, Michael H, Curran, Joanne E, Fornage, Myriam, Kaplan, Robert C, Lewis, Joshua P, Loos, Ruth JF, Mitchell, Braxton D, Morrison, Alanna C, Preuss, Michael, Psaty, Bruce M, Rich, Stephen S, Rotter, Jerome I, Tang, Hua, Tracy, Russell P, Boerwinkle, Eric, Abecasis, Goncalo R, Blackwell, Thomas W, Smith, Albert V, Johnson, Andrew D, Mathias, Rasika A, Nickerson, Deborah A, Conomos, Matthew P, Li, Yun, Þorsteinsdóttir, Unnur, Magnússon, Magnús K, Stefansson, Kari, Pankratz, Nathan D, Bauer, Daniel E, Auer, Paul L, and Reiner, Alex P

Subjects
Epidemiology, Biological Sciences, Health Sciences, Genetics, Hematology, Human Genome, Aetiology, 2.1 Biological and endogenous factors, Cardiovascular, Good Health and Well Being, Humans, Genome-Wide Association Study, Whole Genome Sequencing, Blood Cells
Abstract

Genome-wide association studies have identified thousands of single nucleotide variants and small indels that contribute to variation in hematologic traits. While structural variants are known to cause rare blood or hematopoietic disorders, the genome-wide contribution of structural variants to quantitative blood cell trait variation is unknown. Here we utilized whole genome sequencing data in ancestrally diverse participants of the NHLBI Trans Omics for Precision Medicine program (N = 50,675) to detect structural variants associated with hematologic traits. Using single variant tests, we assessed the association of common and rare structural variants with red cell-, white cell-, and platelet-related quantitative traits and observed 21 independent signals (12 common and 9 rare) reaching genome-wide significance. The majority of these associations (N = 18) replicated in independent datasets. In genome-editing experiments, we provide evidence that a deletion associated with lower monocyte counts leads to disruption of an S1PR3 monocyte enhancer and decreased S1PR3 expression.

Published
2022

3. Genome sequencing unveils a regulatory landscape of platelet reactivity.

Author

Keramati, Ali R, Chen, Ming-Huei, Rodriguez, Benjamin AT, Yanek, Lisa R, Bhan, Arunoday, Gaynor, Brady J, Ryan, Kathleen, Brody, Jennifer A, Zhong, Xue, Wei, Qiang, NHLBI Trans-Omics for Precision (TOPMed) Consortium, Kammers, Kai, Kanchan, Kanika, Iyer, Kruthika, Kowalski, Madeline H, Pitsillides, Achilleas N, Cupples, L Adrienne, Li, Bingshan, Schlaeger, Thorsten M, Shuldiner, Alan R, O'Connell, Jeffrey R, Ruczinski, Ingo, Mitchell, Braxton D, Faraday, Nauder, Taub, Margaret A, Becker, Lewis C, Lewis, Joshua P, Mathias, Rasika A, and Johnson, Andrew D

Subjects
NHLBI Trans-Omics for Precision (TOPMed) Consortium, Blood Platelets, K562 Cells, Humans, Thrombosis, GTP-Binding Proteins, RGS Proteins, Receptors, Cell Surface, Platelet Function Tests, Chromosome Mapping, Base Sequence, Platelet Aggregation, Phenotype, Polymorphism, Single Nucleotide, Quantitative Trait Loci, Genome-Wide Association Study, HEK293 Cells, Whole Genome Sequencing
Abstract

Platelet aggregation at the site of atherosclerotic vascular injury is the underlying pathophysiology of myocardial infarction and stroke. To build upon prior GWAS, here we report on 16 loci identified through a whole genome sequencing (WGS) approach in 3,855 NHLBI Trans-Omics for Precision Medicine (TOPMed) participants deeply phenotyped for platelet aggregation. We identify the RGS18 locus, which encodes a myeloerythroid lineage-specific regulator of G-protein signaling that co-localizes with expression quantitative trait loci (eQTL) signatures for RGS18 expression in platelets. Gene-based approaches implicate the SVEP1 gene, a known contributor of coronary artery disease risk. Sentinel variants at RGS18 and PEAR1 are associated with thrombosis risk and increased gastrointestinal bleeding risk, respectively. Our WGS findings add to previously identified GWAS loci, provide insights regarding the mechanism(s) by which genetics may influence cardiovascular disease risk, and underscore the importance of rare variant and regulatory approaches to identifying loci contributing to complex phenotypes.

Published
2021

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