Enhanced Identification of Novel Potential Variants for Appendicular Lean Mass by Leveraging Pleiotropy With Bone Mineral Density.
Enhanced Identification of Novel Potential Variants for Appendicular Lean Mass by Leveraging Pleiotropy With Bone Mineral Density.
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利用骨矿物质密度的多效性增强对阑尾瘦肉块新的潜在变异的识别
DOI:
10.3389/fimmu.2021.643894
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发表时间:
2021
影响因子:
7.3
通讯作者:
Lou HL
中科院分区:
文献类型:
--
作者:
Peng C;Liu F;Su KJ;Lin X;Song YQ;Shen J;Hu SD;Chen QC;Yuan HH;Li WX;Zeng CP;Deng HW;Lou HL
Strong relationships have been found between appendicular lean mass (ALM) and bone mineral density (BMD). It may be due to a shared genetic basis, termed pleiotropy. By leveraging the pleiotropy with BMD, the aim of this study was to detect more potential genetic variants for ALM. Using the conditional false discovery rate (cFDR) methodology, a combined analysis of the summary statistics of two large independent genome wide association studies (GWAS) of ALM (n = 73,420) and BMD (n = 10,414) was conducted. Strong pleiotropic enrichment and 26 novel potential pleiotropic SNPs were found for ALM and BMD. We identified 156 SNPs for ALM (cFDR <0.05), of which 74 were replicates of previous GWASs and 82 were novel SNPs potentially-associated with ALM. Eleven genes annotated by 31 novel SNPs (13 pleiotropic and 18 ALM specific) were partially validated in a gene expression assay. Functional enrichment analysis indicated that genes corresponding to the novel potential SNPs were enriched in GO terms and/or KEGG pathways that played important roles in muscle development and/or BMD metabolism (adjP <0.05). In protein–protein interaction analysis, rich interactions were demonstrated among the proteins produced by the corresponding genes. In conclusion, the present study, as in other recent studies we have conducted, demonstrated superior efficiency and reliability of the cFDR methodology for enhanced detection of trait-associated genetic variants. Our findings shed novel insight into the genetic variability of ALM in addition to the shared genetic basis underlying ALM and BMD.
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影响因子:
4.6
作者:
Kawane T;Qin X;Jiang Q;Miyazaki T;Komori H;Yoshida CA;Matsuura-Kawata VKDS;Sakane C;Matsuo Y;Nagai K;Maeno T;Date Y;Nishimura R;Komori T
通讯作者:
Komori T
影响因子:
4.5
作者:
Paternoster L;Lorentzon M;Lehtimäki T;Eriksson J;Kähönen M;Raitakari O;Laaksonen M;Sievänen H;Viikari J;Lyytikäinen LP;Mellström D;Karlsson M;Ljunggren O;Grundberg E;Kemp JP;Sayers A;Nethander M;Evans DM;Vandenput L;Tobias JH;Ohlsson C
通讯作者:
Ohlsson C
影响因子:
30.8
作者:
Rivadeneira, Fernando;Styrkarsdottir, Unnur;Estrada, Karol;Halldorsson, Bjarni V.;Hsu, Yi-Hsiang;Richards, J. Brent;Zillikens, M. Carola;Kavvoura, Fotini K.;Amin, Najaf;Aulchenko, Yurii S.;Cupples, L. Adrienne;Deloukas, Panagiotis;Demissie, Serkalem;Grundberg, Elin;Hofman, Albert;Kong, Augustine;Karasik, David;van Meurs, Joyce B.;Oostra, Ben;Pastinen, Tomi;Pols, Huibert A. P.;Sigurdsson, Gunnar;Soranzo, Nicole;Thorleifsson, Gudmar;Thorsteinsdottir, Unnur;Williams, Frances M. K.;Wilson, Scott G.;Zhou, Yanhua;Ralston, Stuart H.;van Duijn, Cornelia M.;Spector, Timothy;Kiel, Douglas P.;Stefansson, Kari;Ioannidis, John P. A.;Uitterlinden, Andre G.
通讯作者:
Uitterlinden, Andre G.
影响因子:
5.8
作者:
Johnson, Andrew D.;Handsaker, Robert E.;de Bakker, Paul I. W.
通讯作者:
de Bakker, Paul I. W.
影响因子:
6.2
作者:
Arden, NK;Spector, TD
通讯作者:
Spector, TD