Literature DB >> 28761973

Enhanced Identification of Potential Pleiotropic Genetic Variants for Bone Mineral Density and Breast Cancer.

Cheng Peng1, Hui-Ling Lou1, Feng Liu1, Jie Shen2, Xu Lin2, Chun-Ping Zeng3, Ji-Rong Long4, Kuan-Jui Su5, Lan Zhang5, Jonathan Greenbaum5, Wei-Feng Deng6, Yu-Mei Li7, Hong-Wen Deng8,9.   

Abstract

Epidemiological and clinical evidences have shown that bone mineral density (BMD) has a close relationship with breast cancer (BC). They might potentially have a shared genetic basis. By incorporating information about these pleiotropic effects, we may be able to explore more of the traits' total heritability. We applied a recently developed conditional false discovery rate (cFDR) method to the summary statistics from two independent GWASs to identify the potential pleiotropic genetic variants for BMD and BC. By jointly analyzing two large independent GWASs of BMD and BC, we found strong pleiotropic enrichment between them and identified 102 single-nucleotide polymorphisms (SNPs) in BMD and 192 SNPs in BC with cFDR < 0.05, including 230 SNPs that might have been overlooked by the standard GWAS analysis. cFDR-significant genes were enriched in GO terms and KEGG pathways which were crucial to bone metabolism and/or BC pathology (adjP < 0.05). Some cFDR-significant genes were partially validated in the gene expressional validation assay. Strong interactions were found between proteins produced by cFDR-significant genes in the context of biological mechanism of bone metabolism and/or BC etiology. Totally, we identified 7 pleiotropic SNPs that were associated with both BMD and BC (conjunction cFDR < 0.05); CCDC170, ESR1, RANKL, CPED1, and MEOX1 might play important roles in the pleiotropy of BMD and BC. Our study highlighted the significant pleiotropy between BMD and BC and shed novel insight into trait-specific as well as the potentially shared genetic architecture for both BMD and BC.

Entities:  

Keywords:  Bone mineral density (BMD); Breast cancer; Genome wide association study (GWAS); Pleiotropy

Mesh:

Year:  2017        PMID: 28761973      PMCID: PMC5796546          DOI: 10.1007/s00223-017-0308-x

Source DB:  PubMed          Journal:  Calcif Tissue Int        ISSN: 0171-967X            Impact factor:   4.333


  46 in total

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6.  RANKL/RANK control Brca1 mutation- .

Authors:  Verena Sigl; Kwadwo Owusu-Boaitey; Purna A Joshi; Anoop Kavirayani; Gerald Wirnsberger; Maria Novatchkova; Ivona Kozieradzki; Daniel Schramek; Nnamdi Edokobi; Jerome Hersl; Aishia Sampson; Ashley Odai-Afotey; Conxi Lazaro; Eva Gonzalez-Suarez; Miguel A Pujana; For Cimba; Holger Heyn; Enrique Vidal; Jennifer Cruickshank; Hal Berman; Renu Sarao; Melita Ticevic; Iris Uribesalgo; Luigi Tortola; Shuan Rao; Yen Tan; Georg Pfeiler; Eva Yhp Lee; Zsuzsanna Bago-Horvath; Lukas Kenner; Helmuth Popper; Christian Singer; Rama Khokha; Laundette P Jones; Josef M Penninger
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Journal:  Nat Genet       Date:  2014-07-20       Impact factor: 38.330

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Journal:  PLoS One       Date:  2016-02-02       Impact factor: 3.240

10.  Novel cancer stem cell targets during epithelial to mesenchymal transition in PTEN-deficient trastuzumab-resistant breast cancer.

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  6 in total

1.  Identification of Novel Potentially Pleiotropic Variants Associated With Osteoporosis and Obesity Using the cFDR Method.

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Journal:  J Clin Endocrinol Metab       Date:  2018-01-01       Impact factor: 5.958

2.  Identification of novel functional CpG-SNPs associated with type 2 diabetes and coronary artery disease.

Authors:  Zun Wang; Chuan Qiu; Xu Lin; Lan-Juan Zhao; Yong Liu; Xinrui Wu; Qian Wang; Wei Liu; Kelvin Li; Hong-Wen Deng; Si-Yuan Tang; Hui Shen
Journal:  Mol Genet Genomics       Date:  2020-03-11       Impact factor: 3.291

3.  Additional common variants associated with type 2 diabetes and coronary artery disease detected using a pleiotropic cFDR method.

Authors:  Qiang Zhang; Hui-Min Liu; Wan-Qiang Lv; Jing-Yang He; Xin Xia; Wei-Dong Zhang; Hong-Wen Deng; Chang-Qing Sun
Journal:  J Diabetes Complications       Date:  2018-09-09       Impact factor: 2.852

4.  Novel Common Variants Associated with Obesity and Type 2 Diabetes Detected Using a cFDR Method.

Authors:  Qiang Zhang; Ke-Hao Wu; Jing-Yang He; Yong Zeng; Jonathan Greenbaum; Xin Xia; Hui-Min Liu; Wan-Qiang Lv; Xu Lin; Wei-Dong Zhang; Yuan-Lin Xi; Xue-Zhong Shi; Chang-Qing Sun; Hong-Wen Deng
Journal:  Sci Rep       Date:  2017-11-27       Impact factor: 4.379

Review 5.  Twelve years of GWAS discoveries for osteoporosis and related traits: advances, challenges and applications.

Authors:  Xiaowei Zhu; Weiyang Bai; Houfeng Zheng
Journal:  Bone Res       Date:  2021-04-29       Impact factor: 13.567

6.  Relationship between rs7586085, GALNT3 and CCDC170 gene polymorphisms and the risk of osteoporosis among the Chinese Han population.

Authors:  Jiaqiang Zhang; Qinlei Cai; Wangxue Chen; Maoxue Huang; Renyang Guan; Tianbo Jin
Journal:  Sci Rep       Date:  2022-04-12       Impact factor: 4.379

  6 in total

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