Components of genetic associations across 2,138 phenotypes in the UK Biobank highlight adipocyte biology

Research output: Contribution to journal › Journal article › Research › peer-review

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Components of genetic associations across 2,138 phenotypes in the UK Biobank highlight adipocyte biology. / Tanigawa, Yosuke; Li, Jiehan; Justesen, Johanne M.; Horn, Heiko; Aguirre, Matthew; DeBoever, Christopher; Chang, Chris; Narasimhan, Balasubramanian; Lage, Kasper; Hastie, Trevor; Park, Chong Y; Bejerano, Gill; Ingelsson, Erik; Rivas, Manuel A.

In: Nature Communications, Vol. 10, 4064, 2019.

Research output: Contribution to journal › Journal article › Research › peer-review

Harvard

Tanigawa, Y, Li, J, Justesen, JM, Horn, H, Aguirre, M, DeBoever, C, Chang, C, Narasimhan, B, Lage, K, Hastie, T, Park, CY, Bejerano, G, Ingelsson, E & Rivas, MA 2019, 'Components of genetic associations across 2,138 phenotypes in the UK Biobank highlight adipocyte biology', Nature Communications, vol. 10, 4064. https://doi.org/10.1038/s41467-019-11953-9

APA

Tanigawa, Y., Li, J., Justesen, J. M., Horn, H., Aguirre, M., DeBoever, C., Chang, C., Narasimhan, B., Lage, K., Hastie, T., Park, C. Y., Bejerano, G., Ingelsson, E., & Rivas, M. A. (2019). Components of genetic associations across 2,138 phenotypes in the UK Biobank highlight adipocyte biology. Nature Communications, 10, [4064]. https://doi.org/10.1038/s41467-019-11953-9

Vancouver

Tanigawa Y, Li J, Justesen JM, Horn H, Aguirre M, DeBoever C et al. Components of genetic associations across 2,138 phenotypes in the UK Biobank highlight adipocyte biology. Nature Communications. 2019;10. 4064. https://doi.org/10.1038/s41467-019-11953-9

Author

Tanigawa, Yosuke ; Li, Jiehan ; Justesen, Johanne M. ; Horn, Heiko ; Aguirre, Matthew ; DeBoever, Christopher ; Chang, Chris ; Narasimhan, Balasubramanian ; Lage, Kasper ; Hastie, Trevor ; Park, Chong Y ; Bejerano, Gill ; Ingelsson, Erik ; Rivas, Manuel A. / Components of genetic associations across 2,138 phenotypes in the UK Biobank highlight adipocyte biology. In: Nature Communications. 2019 ; Vol. 10.

Bibtex

@article{96e42206d8f245f988beb6797c2a5a6d,
title = "Components of genetic associations across 2,138 phenotypes in the UK Biobank highlight adipocyte biology",
abstract = "Population-based biobanks with genomic and dense phenotype data provide opportunities for generating effective therapeutic hypotheses and understanding the genomic role in disease predisposition. To characterize latent components of genetic associations, we apply truncated singular value decomposition (DeGAs) to matrices of summary statistics derived from genome-wide association analyses across 2,138 phenotypes measured in 337,199 White British individuals in the UK Biobank study. We systematically identify key components of genetic associations and the contributions of variants, genes, and phenotypes to each component. As an illustration of the utility of the approach to inform downstream experiments, we report putative loss of function variants, rs114285050 (GPR151) and rs150090666 (PDE3B), that substantially contribute to obesity-related traits and experimentally demonstrate the role of these genes in adipocyte biology. Our approach to dissect components of genetic associations across the human phenome will accelerate biomedical hypothesis generation by providing insights on previously unexplored latent structures.",
author = "Yosuke Tanigawa and Jiehan Li and Justesen, {Johanne M.} and Heiko Horn and Matthew Aguirre and Christopher DeBoever and Chris Chang and Balasubramanian Narasimhan and Kasper Lage and Trevor Hastie and Park, {Chong Y} and Gill Bejerano and Erik Ingelsson and Rivas, {Manuel A}",
year = "2019",
doi = "10.1038/s41467-019-11953-9",
language = "English",
volume = "10",
journal = "Nature Communications",
issn = "2041-1723",
publisher = "nature publishing group",

}

RIS

TY - JOUR

T1 - Components of genetic associations across 2,138 phenotypes in the UK Biobank highlight adipocyte biology

AU - Tanigawa, Yosuke

AU - Li, Jiehan

AU - Justesen, Johanne M.

AU - Horn, Heiko

AU - Aguirre, Matthew

AU - DeBoever, Christopher

AU - Chang, Chris

AU - Narasimhan, Balasubramanian

AU - Lage, Kasper

AU - Hastie, Trevor

AU - Park, Chong Y

AU - Bejerano, Gill

AU - Ingelsson, Erik

AU - Rivas, Manuel A

PY - 2019

Y1 - 2019

N2 - Population-based biobanks with genomic and dense phenotype data provide opportunities for generating effective therapeutic hypotheses and understanding the genomic role in disease predisposition. To characterize latent components of genetic associations, we apply truncated singular value decomposition (DeGAs) to matrices of summary statistics derived from genome-wide association analyses across 2,138 phenotypes measured in 337,199 White British individuals in the UK Biobank study. We systematically identify key components of genetic associations and the contributions of variants, genes, and phenotypes to each component. As an illustration of the utility of the approach to inform downstream experiments, we report putative loss of function variants, rs114285050 (GPR151) and rs150090666 (PDE3B), that substantially contribute to obesity-related traits and experimentally demonstrate the role of these genes in adipocyte biology. Our approach to dissect components of genetic associations across the human phenome will accelerate biomedical hypothesis generation by providing insights on previously unexplored latent structures.

AB - Population-based biobanks with genomic and dense phenotype data provide opportunities for generating effective therapeutic hypotheses and understanding the genomic role in disease predisposition. To characterize latent components of genetic associations, we apply truncated singular value decomposition (DeGAs) to matrices of summary statistics derived from genome-wide association analyses across 2,138 phenotypes measured in 337,199 White British individuals in the UK Biobank study. We systematically identify key components of genetic associations and the contributions of variants, genes, and phenotypes to each component. As an illustration of the utility of the approach to inform downstream experiments, we report putative loss of function variants, rs114285050 (GPR151) and rs150090666 (PDE3B), that substantially contribute to obesity-related traits and experimentally demonstrate the role of these genes in adipocyte biology. Our approach to dissect components of genetic associations across the human phenome will accelerate biomedical hypothesis generation by providing insights on previously unexplored latent structures.

U2 - 10.1038/s41467-019-11953-9

DO - 10.1038/s41467-019-11953-9

M3 - Journal article

C2 - 31492854

VL - 10

JO - Nature Communications

JF - Nature Communications

SN - 2041-1723

M1 - 4064

ER -

ID: 228687193