Polygenic Models Partially Predict Muscle Size and Strength but Not Low Muscle Mass in Older Women

Praval Khanal; Christopher I. Morse; Lingxiao He; Adam J. Herbert; Gladys L. Onambélé-Pearson; Hans Degens; Martine Thomis; Alun G. Williams; Georgina K. Stebbings

doi:10.3390/genes13060982

Polygenic Models Partially Predict Muscle Size and Strength but Not Low Muscle Mass in Older Women

Praval Khanal^*, Christopher I. Morse, Lingxiao He, Adam J. Herbert, Gladys L. Onambélé-Pearson, Hans Degens, Martine Thomis, Alun G. Williams, Georgina K. Stebbings

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

8 Citations (SciVal)

Original language	English
Article number	982
Journal	Genes
Volume	13
Issue number	6
DOIs	https://doi.org/10.3390/genes13060982
Publication status	Published (VoR) - 30 May 2022

Funding

Funding: The current study was funded by the European Commission through MOVE-AGE, an Erasmus Mundus Joint Doctorate program (2011-0015) for Praval Khanal, with the project titled “The genetics of sarcopenia”. Acknowledgments: We would like to thank the European Commission, MOVE-AGE program for providing grants as a part of Erasmus Mundus Joint Doctorate programme (2011-0015) for conducting this study. We also like to thank all the volunteers who participated in this study.

Keywords

polygenic model; predisposing allele; skeletal muscle phenotypes; low and high muscle mass

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10.3390/genes13060982Licence: CC BY

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title = "Polygenic Models Partially Predict Muscle Size and Strength but Not Low Muscle Mass in Older Women",

keywords = "polygenic model; predisposing allele; skeletal muscle phenotypes; low and high muscle mass",

author = "Praval Khanal and Morse, \{Christopher I.\} and Lingxiao He and Herbert, \{Adam J.\} and Onamb{\'e}l{\'e}-Pearson, \{Gladys L.\} and Hans Degens and Martine Thomis and Williams, \{Alun G.\} and Stebbings, \{Georgina K.\}",

note = "Funding Information: Funding: The current study was funded by the European Commission through MOVE-AGE, an Erasmus Mundus Joint Doctorate program (2011-0015) for Praval Khanal, with the project titled “The genetics of sarcopenia”. Funding Information: Acknowledgments: We would like to thank the European Commission, MOVE-AGE program for providing grants as a part of Erasmus Mundus Joint Doctorate programme (2011-0015) for conducting this study. We also like to thank all the volunteers who participated in this study. Publisher Copyright: {\textcopyright} 2022 by the authors. Licensee MDPI, Basel, Switzerland.",

year = "2022",

month = may,

day = "30",

doi = "10.3390/genes13060982",

language = "English",

volume = "13",

journal = "Genes",

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TY - JOUR

T1 - Polygenic Models Partially Predict Muscle Size and Strength but Not Low Muscle Mass in Older Women

AU - Khanal, Praval

AU - Morse, Christopher I.

AU - He, Lingxiao

AU - Herbert, Adam J.

AU - Onambélé-Pearson, Gladys L.

AU - Degens, Hans

AU - Thomis, Martine

AU - Williams, Alun G.

AU - Stebbings, Georgina K.

N1 - Funding Information: Funding: The current study was funded by the European Commission through MOVE-AGE, an Erasmus Mundus Joint Doctorate program (2011-0015) for Praval Khanal, with the project titled “The genetics of sarcopenia”. Funding Information: Acknowledgments: We would like to thank the European Commission, MOVE-AGE program for providing grants as a part of Erasmus Mundus Joint Doctorate programme (2011-0015) for conducting this study. We also like to thank all the volunteers who participated in this study. Publisher Copyright: © 2022 by the authors. Licensee MDPI, Basel, Switzerland.

PY - 2022/5/30

Y1 - 2022/5/30

KW - polygenic model; predisposing allele; skeletal muscle phenotypes; low and high muscle mass

UR - https://www.scopus.com/pages/publications/85132244234

UR - https://www.scopus.com/inward/citedby.url?scp=85132244234&partnerID=8YFLogxK

U2 - 10.3390/genes13060982

DO - 10.3390/genes13060982

M3 - Article

C2 - 35741744

SN - 2073-4425

VL - 13

JO - Genes

JF - Genes

IS - 6

M1 - 982

ER -

Polygenic Models Partially Predict Muscle Size and Strength but Not Low Muscle Mass in Older Women

Funding

Keywords

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