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Identification of novel and rare variants associated with handgrip strength using whole genome sequence data from the NHLBI Trans-Omics in Precision Medicine (TOPMed) Program

Handgrip strength is a widely used measure of muscle strength and a predictor of a range of morbidities including cardiovascular diseases and all-cause mortality. Previous genome-wide association studies of handgrip strength have focused on common variants primarily in persons of European descent. W...

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Autores principales: Sarnowski, Chloé, Chen, Han, Biggs, Mary L., Wassertheil-Smoller, Sylvia, Bressler, Jan, Irvin, Marguerite R., Ryan, Kathleen A., Karasik, David, Arnett, Donna K., Cupples, L. Adrienne, Fardo, David W., Gogarten, Stephanie M., Heavner, Benjamin D., Jain, Deepti, Kang, Hyun Min, Kooperberg, Charles, Mainous, Arch G., Mitchell, Braxton D., Morrison, Alanna C., O’Connell, Jeffrey R., Psaty, Bruce M., Rice, Kenneth, Smith, Albert V., Vasan, Ramachandran S., Windham, B. Gwen, Kiel, Douglas P., Murabito, Joanne M., Lunetta, Kathryn L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8253404/
https://www.ncbi.nlm.nih.gov/pubmed/34214102
http://dx.doi.org/10.1371/journal.pone.0253611
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author Sarnowski, Chloé
Chen, Han
Biggs, Mary L.
Wassertheil-Smoller, Sylvia
Bressler, Jan
Irvin, Marguerite R.
Ryan, Kathleen A.
Karasik, David
Arnett, Donna K.
Cupples, L. Adrienne
Fardo, David W.
Gogarten, Stephanie M.
Heavner, Benjamin D.
Jain, Deepti
Kang, Hyun Min
Kooperberg, Charles
Mainous, Arch G.
Mitchell, Braxton D.
Morrison, Alanna C.
O’Connell, Jeffrey R.
Psaty, Bruce M.
Rice, Kenneth
Smith, Albert V.
Vasan, Ramachandran S.
Windham, B. Gwen
Kiel, Douglas P.
Murabito, Joanne M.
Lunetta, Kathryn L.
author_facet Sarnowski, Chloé
Chen, Han
Biggs, Mary L.
Wassertheil-Smoller, Sylvia
Bressler, Jan
Irvin, Marguerite R.
Ryan, Kathleen A.
Karasik, David
Arnett, Donna K.
Cupples, L. Adrienne
Fardo, David W.
Gogarten, Stephanie M.
Heavner, Benjamin D.
Jain, Deepti
Kang, Hyun Min
Kooperberg, Charles
Mainous, Arch G.
Mitchell, Braxton D.
Morrison, Alanna C.
O’Connell, Jeffrey R.
Psaty, Bruce M.
Rice, Kenneth
Smith, Albert V.
Vasan, Ramachandran S.
Windham, B. Gwen
Kiel, Douglas P.
Murabito, Joanne M.
Lunetta, Kathryn L.
author_sort Sarnowski, Chloé
collection PubMed
description Handgrip strength is a widely used measure of muscle strength and a predictor of a range of morbidities including cardiovascular diseases and all-cause mortality. Previous genome-wide association studies of handgrip strength have focused on common variants primarily in persons of European descent. We aimed to identify rare and ancestry-specific genetic variants associated with handgrip strength by conducting whole-genome sequence association analyses using 13,552 participants from six studies representing diverse population groups from the Trans-Omics in Precision Medicine (TOPMed) Program. By leveraging multiple handgrip strength measures performed in study participants over time, we increased our effective sample size by 7–12%. Single-variant analyses identified ten handgrip strength loci among African-Americans: four rare variants, five low-frequency variants, and one common variant. One significant and four suggestive genes were identified associated with handgrip strength when aggregating rare and functional variants; all associations were ancestry-specific. We additionally leveraged the different ancestries available in the UK Biobank to further explore the ancestry-specific association signals from the single-variant association analyses. In conclusion, our study identified 11 new loci associated with handgrip strength with rare and/or ancestry-specific genetic variations, highlighting the added value of whole-genome sequencing in diverse samples. Several of the associations identified using single-variant or aggregate analyses lie in genes with a function relevant to the brain or muscle or were reported to be associated with muscle or age-related traits. Further studies in samples with sequence data and diverse ancestries are needed to confirm these findings.
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spelling pubmed-82534042021-07-13 Identification of novel and rare variants associated with handgrip strength using whole genome sequence data from the NHLBI Trans-Omics in Precision Medicine (TOPMed) Program Sarnowski, Chloé Chen, Han Biggs, Mary L. Wassertheil-Smoller, Sylvia Bressler, Jan Irvin, Marguerite R. Ryan, Kathleen A. Karasik, David Arnett, Donna K. Cupples, L. Adrienne Fardo, David W. Gogarten, Stephanie M. Heavner, Benjamin D. Jain, Deepti Kang, Hyun Min Kooperberg, Charles Mainous, Arch G. Mitchell, Braxton D. Morrison, Alanna C. O’Connell, Jeffrey R. Psaty, Bruce M. Rice, Kenneth Smith, Albert V. Vasan, Ramachandran S. Windham, B. Gwen Kiel, Douglas P. Murabito, Joanne M. Lunetta, Kathryn L. PLoS One Research Article Handgrip strength is a widely used measure of muscle strength and a predictor of a range of morbidities including cardiovascular diseases and all-cause mortality. Previous genome-wide association studies of handgrip strength have focused on common variants primarily in persons of European descent. We aimed to identify rare and ancestry-specific genetic variants associated with handgrip strength by conducting whole-genome sequence association analyses using 13,552 participants from six studies representing diverse population groups from the Trans-Omics in Precision Medicine (TOPMed) Program. By leveraging multiple handgrip strength measures performed in study participants over time, we increased our effective sample size by 7–12%. Single-variant analyses identified ten handgrip strength loci among African-Americans: four rare variants, five low-frequency variants, and one common variant. One significant and four suggestive genes were identified associated with handgrip strength when aggregating rare and functional variants; all associations were ancestry-specific. We additionally leveraged the different ancestries available in the UK Biobank to further explore the ancestry-specific association signals from the single-variant association analyses. In conclusion, our study identified 11 new loci associated with handgrip strength with rare and/or ancestry-specific genetic variations, highlighting the added value of whole-genome sequencing in diverse samples. Several of the associations identified using single-variant or aggregate analyses lie in genes with a function relevant to the brain or muscle or were reported to be associated with muscle or age-related traits. Further studies in samples with sequence data and diverse ancestries are needed to confirm these findings. Public Library of Science 2021-07-02 /pmc/articles/PMC8253404/ /pubmed/34214102 http://dx.doi.org/10.1371/journal.pone.0253611 Text en © 2021 Sarnowski et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Sarnowski, Chloé
Chen, Han
Biggs, Mary L.
Wassertheil-Smoller, Sylvia
Bressler, Jan
Irvin, Marguerite R.
Ryan, Kathleen A.
Karasik, David
Arnett, Donna K.
Cupples, L. Adrienne
Fardo, David W.
Gogarten, Stephanie M.
Heavner, Benjamin D.
Jain, Deepti
Kang, Hyun Min
Kooperberg, Charles
Mainous, Arch G.
Mitchell, Braxton D.
Morrison, Alanna C.
O’Connell, Jeffrey R.
Psaty, Bruce M.
Rice, Kenneth
Smith, Albert V.
Vasan, Ramachandran S.
Windham, B. Gwen
Kiel, Douglas P.
Murabito, Joanne M.
Lunetta, Kathryn L.
Identification of novel and rare variants associated with handgrip strength using whole genome sequence data from the NHLBI Trans-Omics in Precision Medicine (TOPMed) Program
title Identification of novel and rare variants associated with handgrip strength using whole genome sequence data from the NHLBI Trans-Omics in Precision Medicine (TOPMed) Program
title_full Identification of novel and rare variants associated with handgrip strength using whole genome sequence data from the NHLBI Trans-Omics in Precision Medicine (TOPMed) Program
title_fullStr Identification of novel and rare variants associated with handgrip strength using whole genome sequence data from the NHLBI Trans-Omics in Precision Medicine (TOPMed) Program
title_full_unstemmed Identification of novel and rare variants associated with handgrip strength using whole genome sequence data from the NHLBI Trans-Omics in Precision Medicine (TOPMed) Program
title_short Identification of novel and rare variants associated with handgrip strength using whole genome sequence data from the NHLBI Trans-Omics in Precision Medicine (TOPMed) Program
title_sort identification of novel and rare variants associated with handgrip strength using whole genome sequence data from the nhlbi trans-omics in precision medicine (topmed) program
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8253404/
https://www.ncbi.nlm.nih.gov/pubmed/34214102
http://dx.doi.org/10.1371/journal.pone.0253611
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