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
  • [1] A genome-wide association study of variations in maternal cardiometabolic genes and risk of placental abruption
    Moore, Amy
    Enquobahrie, Daniel A.
    Sanchez, Sixto E.
    Ananth, Cande V.
    Pacora, Percy N.
    Williams, Michelle A.
    INTERNATIONAL JOURNAL OF MOLECULAR EPIDEMIOLOGY AND GENETICS, 2012, 3 (04): : 305 - 313
  • [2] Genome-wide and candidate gene association studies of placental abruption
    Workalemahu, Tsegaselassie
    Enquobahrie, Daniel A.
    Moore, Amy
    Sanchez, Sixto E.
    Ananth, Cande V.
    Pacora, Percy N.
    Liang, Liming
    Salazar, Manuel
    Williams, Michelle A.
    INTERNATIONAL JOURNAL OF MOLECULAR EPIDEMIOLOGY AND GENETICS, 2013, 4 (03): : 128 - +
  • [3] The meta-analysis of genome-wide association studies
    Thompson, John R.
    Attia, John
    Minelli, Cosetta
    BRIEFINGS IN BIOINFORMATICS, 2011, 12 (03) : 259 - 269
  • [4] Meta-analysis in genome-wide association studies
    Zeggini, E.
    Ioannidis, J. P. A.
    PHARMACOGENOMICS, 2009, 10 (02) : 191 - 201
  • [5] On individual genome-wide association studies and their meta-analysis
    Pei, Yu-Fang
    Zhang, Lei
    Papasian, Christopher J.
    Wang, Yu-Ping
    Deng, Hong-Wen
    HUMAN GENETICS, 2014, 133 (03) : 265 - 279
  • [6] Meta-analysis of genome-wide association studies for personality
    M H M de Moor
    P T Costa
    A Terracciano
    R F Krueger
    E J C de Geus
    T Toshiko
    B W J H Penninx
    T Esko
    P A F Madden
    J Derringer
    N Amin
    G Willemsen
    J-J Hottenga
    M A Distel
    M Uda
    S Sanna
    P Spinhoven
    C A Hartman
    P Sullivan
    A Realo
    J Allik
    A C Heath
    M L Pergadia
    A Agrawal
    P Lin
    R Grucza
    T Nutile
    M Ciullo
    D Rujescu
    I Giegling
    B Konte
    E Widen
    D L Cousminer
    J G Eriksson
    A Palotie
    L Peltonen
    M Luciano
    A Tenesa
    G Davies
    L M Lopez
    N K Hansell
    S E Medland
    L Ferrucci
    D Schlessinger
    G W Montgomery
    M J Wright
    Y S Aulchenko
    A C J W Janssens
    B A Oostra
    A Metspalu
    Molecular Psychiatry, 2012, 17 : 337 - 349
  • [7] Meta-analysis of genome-wide association studies for personality
    de Moor, M. H. M.
    Costa, P. T.
    Terracciano, A.
    Krueger, R. F.
    de Geus, E. J. C.
    Toshiko, T.
    Penninx, B. W. J. H.
    Esko, T.
    Madden, P. A. F.
    Derringer, J.
    Amin, N.
    Willemsen, G.
    Hottenga, J-J
    Distel, M. A.
    Uda, M.
    Sanna, S.
    Spinhoven, P.
    Hartman, C. A.
    Sullivan, P.
    Realo, A.
    Allik, J.
    Heath, A. C.
    Pergadia, M. L.
    Agrawal, A.
    Lin, P.
    Grucza, R.
    Nutile, T.
    Ciullo, M.
    Rujescu, D.
    Giegling, I.
    Konte, B.
    Widen, E.
    Cousminer, D. L.
    Eriksson, J. G.
    Palotie, A.
    Peltonen, L.
    Luciano, M.
    Tenesa, A.
    Davies, G.
    Lopez, L. M.
    Hansell, N. K.
    Medland, S. E.
    Ferrucci, L.
    Schlessinger, D.
    Montgomery, G. W.
    Wright, M. J.
    Aulchenko, Y. S.
    Janssens, A. C. J. W.
    Oostra, B. A.
    Metspalu, A.
    MOLECULAR PSYCHIATRY, 2012, 17 (03) : 337 - 349
  • [8] A meta-analysis of genome-wide association studies of follicular lymphoma
    Skibola, Christine F.
    Conde, Lucia
    Foo, Jia-Nee
    Riby, Jacques
    Humphreys, Keith
    Sille, Fenna C. M.
    Darabi, Hatef
    Sanchez, Sylvia
    Hjalgrim, Henrik
    Liu, Jianjun
    Bracci, Paige M.
    Smedby, Karin E.
    BMC GENOMICS, 2012, 13
  • [9] Genome-wide association study of glioma and meta-analysis
    Rajaraman, Preetha
    Melin, Beatrice S.
    Wang, Zhaoming
    McKean-Cowdin, Roberta
    Michaud, Dominique S.
    Wang, Sophia S.
    Bondy, Melissa
    Houlston, Richard
    Jenkins, Robert B.
    Wrensch, Margaret
    Yeager, Meredith
    Ahlbom, Anders
    Albanes, Demetrius
    Andersson, Ulrika
    Freeman, Laura E. Beane
    Buring, Julie E.
    Butler, Mary Ann
    Braganza, Melissa
    Carreon, Tania
    Feychting, Maria
    Fleming, Sarah J.
    Gapstur, Susan M.
    Gaziano, J. Michael
    Giles, Graham G.
    Hallmans, Goran
    Henriksson, Roger
    Hoffman-Bolton, Judith
    Inskip, Peter D.
    Johansen, Christoffer
    Kitahara, Cari M.
    Lathrop, Mark
    Liu, Chenwei
    Le Marchand, Loic
    Linet, Martha S.
    Lonn, Stefan
    Peters, Ulrike
    Purdue, Mark P.
    Rothman, Nathaniel
    Ruder, Avima M.
    Sanson, Marc
    Sesso, Howard D.
    Severi, Gianluca
    Shu, Xiao-Ou
    Simon, Matthias
    Stampfer, Meir
    Stevens, Victoria L.
    Visvanathan, Kala
    White, Emily
    Wolk, Alicja
    Zeleniuch-Jacquotte, Anne
    HUMAN GENETICS, 2012, 131 (12) : 1877 - 1888
  • [10] 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