Dataset Information

Whole-exome sequencing and genome-wide association studies identify novel sarcopenia risk genes in Han Chinese.

ABSTRACT: Sarcopenia is a complex polygenic disease, and its molecular mechanism is still unclear. Whole lean body mass (WLBM) is a heritable trait predicting sarcopenia. To identify genomic loci underlying, we performed a whole-exome sequencing (WES) of WLBM variation with high sequencing depth (more than 40*) in 101 Chinese subjects. We then replicated in the major findings in the large-scale UK Biobank (UKB) cohort (N = 217,822) for WLBM. The results of four single-nucleotide polymorphisms (SNPs) were significant both in the discovery stage and replication stage: SNP rs740681 (discovery p = 1.66 × 10-6 , replication p = .05), rs2272303 (discovery p = 3.20 × 10-4 , replication p = 3.10 × 10-4 ), rs11170413 (discovery p = 3.99 × 10-4 , replication p = 2.90 × 10-4 ), and rs2272302 (discovery p = 9.13 × 10-4 , replication p = 3.10 × 10-4 ). We combined p values of the significant SNPs. Functional annotations highlighted two candidate genes, including FZR1 and SOAT2, that may exert pleiotropic effects to the development of body mass. Our findings provide useful insights that further enhance our understanding of genetic interplay in sarcopenia.

SUBMITTER: Ran S

PROVIDER: S-EPMC7434604 | biostudies-literature | 2020 Aug

REPOSITORIES: biostudies-literature

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Whole-exome sequencing and genome-wide association studies identify novel sarcopenia risk genes in Han Chinese.

Ran Shu S He Xiao X Jiang Zi-Xuan ZX Liu Yu Y Zhang Yu-Xue YX Zhang Lei L Gu Gui-Shan GS Pei Yufang Y Liu Bao-Lin BL Tian Qing Q Zhang Yong-Hong YH Wang Jing-Yu JY Deng Hong-Wen HW

Molecular genetics & genomic medicine 20200601 8

Sarcopenia is a complex polygenic disease, and its molecular mechanism is still unclear. Whole lean body mass (WLBM) is a heritable trait predicting sarcopenia. To identify genomic loci underlying, we performed a whole-exome sequencing (WES) of WLBM variation with high sequencing depth (more than 40*) in 101 Chinese subjects. We then replicated in the major findings in the large-scale UK Biobank (UKB) cohort (N = 217,822) for WLBM. The results of four single-nucleotide polymorphisms (SNPs) were ...[more]

PMID: 32478482

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Project description:Next-generation sequencing provides a high-resolution insight into human genetic information. However, the focus of previous studies has primarily been on low-coverage data due to the high cost of sequencing. Although the 1000 Genomes Project and the Haplotype Reference Consortium have both provided powerful reference panels for imputation, low-frequency and novel variants remain difficult to discover and call with accuracy on the basis of low-coverage data. Deep sequencing provides an optimal solution for the problem of these low-frequency and novel variants. Although whole-exome sequencing is also a viable choice for exome regions, it cannot account for noncoding regions, sometimes resulting in the absence of important, causal variants. For Han Chinese populations, the majority of variants have been discovered based upon low-coverage data from the 1000 Genomes Project. However, high-coverage, whole-genome sequencing data are limited for any population, and a large amount of low-frequency, population-specific variants remain uncharacterized. We have performed whole-genome sequencing at a high depth (∼×80) of 90 unrelated individuals of Chinese ancestry, collected from the 1000 Genomes Project samples, including 45 Northern Han Chinese and 45 Southern Han Chinese samples. Eighty-three of these 90 have been sequenced by the 1000 Genomes Project. We have identified 12 568 804 single nucleotide polymorphisms, 2 074 210 short InDels, and 26 142 structural variations from these 90 samples. Compared to the Han Chinese data from the 1000 Genomes Project, we have found 7 000 629 novel variants with low frequency (defined as minor allele frequency < 5%), including 5 813 503 single nucleotide polymorphisms, 1 169 199 InDels, and 17 927 structural variants. Using deep sequencing data, we have built a greatly expanded spectrum of genetic variation for the Han Chinese genome. Compared to the 1000 Genomes Project, these Han Chinese deep sequencing data enhance the characterization of a large number of low-frequency, novel variants. This will be a valuable resource for promoting Chinese genetics research and medical development. Additionally, it will provide a valuable supplement to the 1000 Genomes Project, as well as to other human genome projects.

Dataset Information

Whole-exome sequencing and genome-wide association studies identify novel sarcopenia risk genes in Han Chinese.

Publications

Whole-exome sequencing and genome-wide association studies identify novel sarcopenia risk genes in Han Chinese.

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