Genetic variations and risk of placental abruption: A genome-wide association study and meta-analysis of genome-wide association studies

被引:16
|
作者
Workalemahu, Tsegaselassie [1 ,2 ]
Enquobahrie, Daniel A. [1 ,3 ]
Gelaye, Bizu [4 ]
Sanchez, Sixto E. [5 ,6 ,7 ]
Garcia, Pedro J. [7 ]
Tekola-Ayele, Fasil [2 ]
Hajat, Anjum [1 ]
Thornton, Timothy A. [8 ]
Ananth, Cande V. [9 ,10 ]
Williams, Michelle A. [3 ]
机构
[1] Univ Washington, Sch Publ Hlth, Dept Epidemiol, Seattle, WA 98195 USA
[2] Eunice Kennedy Shriver Natl Inst Child Hlth & Hum, Epidemiol Branch, Div Intramural Populat Hlth Res, NIH, Bethesda, MD USA
[3] Swedish Med Ctr, Ctr Perinatal Studies, Seattle, WA USA
[4] Harvard TH Chan Sch Publ Hlth, Dept Epidemiol, Boston, MA USA
[5] Univ San Martin de Porres, Fac Med Humana, Lima, Peru
[6] Asociac Civil PROESA, Lima, Peru
[7] Inst Nacl Materno Perinatal, Lima, Peru
[8] Univ Washington, Dept Biostat, Seattle, WA 98195 USA
[9] Columbia Univ, Dept Obstet & Gynecol, Roy & Diana Vagelos Coll Phys & Surg, New York, NY USA
[10] Columbia Univ, Dept Epidemiol, Joseph L Mailman Sch Publ Hlth, New York, NY USA
关键词
Placental abruption; Genome-wide association study; meta-analysis; V-LEIDEN MUTATION; EXPRESSION; TERM; PREECLAMPSIA; POLYMORPHISM; VARIANTS; SMOKING;
D O I
10.1016/j.placenta.2018.04.008
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
Introduction: Accumulating epidemiological evidence points to strong genetic susceptibility to placental abruption (PA). However, characterization of genes associated with PA remains incomplete. We conducted a genome-wide association study (GWAS) of PA and a meta-analysis of GWAS. Methods: Participants of the Placental Abruption Genetic Epidemiology (PAGE) study, a population based case-control study of PA conducted in Lima, Peru, were genotyped using the Illumina HumanCore-24 BeadChip platform. Genotypes were imputed using the 1000 genomes reference panel, and > 4.9 million SNPs that passed quality control were analyzed. We performed a GWAS in PAGE participants (507 PA cases and 1090 controls) and a GWAS meta-analysis in 2512 participants (959 PA cases and 1553 controls) that included PAGE and the previously reported Peruvian Abruptio Placentae Epidemiology (PAPE) study. We fitted population stratification-adjusted logistic regression models and fixed-effects meta-analyses using inverse-variance weighting. Results: Independent loci (linkage-disequilibrium < 0.80) suggestively associated with PA (P-value < 5e-5) included rs4148646 and rs2074311 in ABCC8, rs7249210, rs7250184, rs7249100 and rs10401828 in ZNF28, rs11133659 in CTNND2, and rs2074314 and rs35271178 near KCNJ11 in the PAGE GWAS. Similarly, independent loci suggestively associated with PA in the GWAS meta-analysis included rs76258369 near IRX1, and rs7094759 and rs12264492 in ADAM12. Functional analyses of these genes showed trophoblast-like cell interaction, as well as networks involved in endocrine system disorders, cardiovascular diseases, and cellular function. Conclusions: We identified several genetic loci and related functions that may play a role in PA risk. Understanding genetic factors underlying pathophysiological mechanisms of PA may facilitate prevention and early diagnostic efforts.
引用
收藏
页码:8 / 16
页数:9
相关论文
共 50 条
  • [31] GWAR: robust analysis and meta-analysis of genome-wide association studies
    Dimou, Niki L.
    Tsirigos, Konstantinos D.
    Elofsson, Arne
    Bagos, Pantelis G.
    BIOINFORMATICS, 2017, 33 (10) : 1521 - 1527
  • [32] Methods for multiancestry genome-wide association study meta-analysis
    Yap, Chuan Fu
    Morris, Andrew P.
    ANNALS OF HUMAN GENETICS, 2024,
  • [33] Genome-wide association studies
    Nature Reviews Methods Primers, 1
  • [34] Genome-wide association studies
    Willson, Joseph
    NATURE REVIEWS METHODS PRIMERS, 2021, 1 (01):
  • [35] Genome-Wide Association Studies
    Guo, Xiuqing
    Rotter, Jerome I.
    JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION, 2019, 322 (17): : 1705 - 1706
  • [36] GWAMA: software for genome-wide association meta-analysis
    Reedik Mägi
    Andrew P Morris
    BMC Bioinformatics, 11
  • [37] GWAMA: software for genome-wide association meta-analysis
    Magi, Reedik
    Morris, Andrew P.
    BMC BIOINFORMATICS, 2010, 11
  • [38] GENOME-WIDE ASSOCIATION STUDIES Validating, augmenting and refining genome-wide association signals
    Ioannidis, John P. A.
    Thomas, Gilles
    Daly, Mark J.
    NATURE REVIEWS GENETICS, 2009, 10 (05) : 318 - 329
  • [39] Genome-wide pathway analysis of a genome-wide association study on multiple sclerosis
    Gwan Gyu Song
    Sung Jae Choi
    Jong Dae Ji
    Young Ho Lee
    Molecular Biology Reports, 2013, 40 : 2557 - 2564
  • [40] Genome-wide pathway analysis of a genome-wide association study on multiple sclerosis
    Song, Gwan Gyu
    Choi, Sung Jae
    Ji, Jong Dae
    Lee, Young Ho
    MOLECULAR BIOLOGY REPORTS, 2013, 40 (03) : 2557 - 2564