Literature DB >> 35803233

Investigating the shared genetic architecture of uterine leiomyoma and breast cancer: A genome-wide cross-trait analysis.

Xueyao Wu1, Chenghan Xiao1, Zhitong Han2, Li Zhang1, Xunying Zhao1, Yu Hao1, Jinyu Xiao1, C Scott Gallagher3, Peter Kraft4, Cynthia Casson Morton5, Jiayuan Li6, Xia Jiang7.   

Abstract

Little is known regarding the shared genetic architecture or causality underlying the phenotypic association observed for uterine leiomyoma (UL) and breast cancer (BC). Leveraging summary statistics from the hitherto largest genome-wide association study (GWAS) conducted in each trait, we investigated the genetic overlap and causal associations of UL with BC overall, as well as with its subtypes defined by the status of estrogen receptor (ER). We observed a positive genetic correlation between UL and BC overall (rg = 0.09, p = 6.00 × 10-3), which was consistent in ER+ subtype (rg = 0.06, p = 0.01) but not in ER- subtype (rg = 0.06, p = 0.08). Partitioning the whole genome into 1,703 independent regions, local genetic correlation was identified at 22q13.1 for UL with BC overall and with ER+ subtype. Significant genetic correlation was further discovered in 9 out of 14 functional categories, with the highest estimates observed in coding, H3K9ac, and repressed regions. Cross-trait meta-analysis identified 9 novel loci shared between UL and BC. Mendelian randomization demonstrated a significantly increased risk of BC overall (OR = 1.09, 95% CI = 1.01-1.18) and ER+ subtype (OR = 1.09, 95% CI = 1.01-1.17) for genetic liability to UL. No reverse causality was found. Our comprehensive genome-wide cross-trait analysis demonstrates a shared genetic basis, pleiotropic loci, as well as a putative causal relationship between UL and BC, highlighting an intrinsic link underlying these two complex female diseases.
Copyright © 2022 American Society of Human Genetics. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  breast cancer; causal inference; genetic correlation; pleiotropic loci; uterine leiomyoma

Mesh:

Substances:

Year:  2022        PMID: 35803233      PMCID: PMC9300879          DOI: 10.1016/j.ajhg.2022.05.015

Source DB:  PubMed          Journal:  Am J Hum Genet        ISSN: 0002-9297            Impact factor:   11.043


  68 in total

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Journal:  Best Pract Res Clin Obstet Gynaecol       Date:  2017-10-01       Impact factor: 5.237

Review 3.  Molecular and clinical attributes of uterine leiomyomas.

Authors:  Dana Dvorská; Dušan Braný; Zuzana Danková; Erika Halašová; Jozef Višňovský
Journal:  Tumour Biol       Date:  2017-06

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Authors:  David P Sparling; Beth A Griesel; Juston Weems; Ann Louise Olson
Journal:  J Biol Chem       Date:  2008-01-23       Impact factor: 5.157

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Journal:  Genet Mol Res       Date:  2015-10-26

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Journal:  Int J Cancer       Date:  2014-01-10       Impact factor: 7.396

7.  Genome-wide association and epidemiological analyses reveal common genetic origins between uterine leiomyomata and endometriosis.

Authors:  C S Gallagher; N Mäkinen; H R Harris; N Rahmioglu; D I Chasman; S A Missmer; K T Zondervan; C C Morton; O Uimari; J P Cook; N Shigesi; T Ferreira; D R Velez-Edwards; T L Edwards; S Mortlock; Z Ruhioglu; F Day; C M Becker; V Karhunen; H Martikainen; M-R Järvelin; R M Cantor; P M Ridker; K L Terry; J E Buring; S D Gordon; S E Medland; G W Montgomery; D R Nyholt; D A Hinds; J Y Tung; J R B Perry; P A Lind; J N Painter; N G Martin; A P Morris
Journal:  Nat Commun       Date:  2019-10-24       Impact factor: 17.694

8.  An atlas of genetic correlations across human diseases and traits.

Authors:  Brendan Bulik-Sullivan; Hilary K Finucane; Verneri Anttila; Alexander Gusev; Felix R Day; Po-Ru Loh; Laramie Duncan; John R B Perry; Nick Patterson; Elise B Robinson; Mark J Daly; Alkes L Price; Benjamin M Neale
Journal:  Nat Genet       Date:  2015-09-28       Impact factor: 38.330

9.  Consistent Estimation in Mendelian Randomization with Some Invalid Instruments Using a Weighted Median Estimator.

Authors:  Jack Bowden; George Davey Smith; Philip C Haycock; Stephen Burgess
Journal:  Genet Epidemiol       Date:  2016-04-07       Impact factor: 2.135

10.  Heritability enrichment of specifically expressed genes identifies disease-relevant tissues and cell types.

Authors:  Hilary K Finucane; Yakir A Reshef; Verneri Anttila; Kamil Slowikowski; Alexander Gusev; Andrea Byrnes; Steven Gazal; Po-Ru Loh; Caleb Lareau; Noam Shoresh; Giulio Genovese; Arpiar Saunders; Evan Macosko; Samuela Pollack; John R B Perry; Jason D Buenrostro; Bradley E Bernstein; Soumya Raychaudhuri; Steven McCarroll; Benjamin M Neale; Alkes L Price
Journal:  Nat Genet       Date:  2018-04-09       Impact factor: 38.330

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