Polymorphisms in maternal and fetal genes encoding for proteins involved in extracellular matrix metabolism alter the risk for small-for-gestational-age

Digna R Velez Edwards, Roberto Romero, Juan Pedro Kusanovic, Sonia S. Hassan, Shali Mazaki-Tovi, Edi Vaisbuch, Chong Jai Kim, Offer Erez, Tinnakorn Chaiworapongsa, Brad D. Pearce, Jacquelaine Bartlett, Lara A. Friel, Benjamin A. Salisbury, Madan Kumar Anant, Gerald F. Vovis, Min Seob Lee, Ricardo Gomez, Ernesto Behnke, Enrique Oyarzun, Gerard Tromp & 2 others Ramkumar Menon, Scott M. Williams

Research output: Contribution to journalArticle

9 Citations (Scopus)

Abstract

Objective. To examine the association between maternal and fetal genetic variants and small-for-gestational-age (SGA). Methods. A casecontrol study was conducted in patients with SGA neonates (530 maternal and 436 fetal) and controls (599 maternal and 628 fetal); 190 candidate genes and 775 SNPs were studied. Single-locus, multi-locus and haplotype association analyses were performed on maternal and fetal data with logistic regression, multifactor dimensionality reduction (MDR) analysis, and haplotype-based association with 2 and 3 marker sliding windows, respectively. Ingenuity pathway analysis (IPA) software was used to assess pathways that associate with SGA. Results. The most significant single-locus association in maternal data was with a SNP in tissue inhibitor of metalloproteinase 2 (TIMP2) (rs2277698 OR=1.71, 95% CI [1.26-2.32], p=0.0006) while in the fetus it was with a SNP in fibronectin 1 isoform 3 preproprotein (FN1) (rs3796123, OR=1.46, 95% CI [1.20-1.78], p=0.0001). Both SNPs were adjusted for potential confounders (maternal body mass index and fetal sex). Haplotype analyses resulted in associations in α 1 type I collagen preproprotein (COL1A1, rs1007086-rs2141279-rs17639446, global p=0.006) in mothers and FN1 (rs2304573-rs1250204-rs1250215, global p=0.045) in fetuses. Multi-locus analyses with MDR identified a two SNP model with maternal variants collagen type V α 2 (COL5A2) and plasminogen activator urokinase (PLAU) predicting SGA outcome correctly 59% of the time (p=0.035). Conclusions. Genetic variants in extracellular matrix-related genes showed significant single-locus association with SGA. These data are consistent with other studies that have observed elevated circulating fibronectin concentrations in association with increased risk of SGA. The present study supports the hypothesis that DNA variants can partially explain the risk of SGA in a cohort of Hispanic women.

Original languageEnglish
Pages (from-to)362-380
Number of pages19
JournalJournal of Maternal-Fetal and Neonatal Medicine
Volume24
Issue number2
DOIs
StatePublished - Feb 2011
Externally publishedYes

Fingerprint

Gestational Age
Extracellular Matrix
Mothers
Single Nucleotide Polymorphism
Proteins
Multifactor Dimensionality Reduction
Haplotypes
Fibronectins
Fetus
Tissue Inhibitor of Metalloproteinase-2
Collagen Type II
Plasminogen Activators
Urokinase-Type Plasminogen Activator
Collagen Type I
Hispanic Americans
Genes
Protein Isoforms
Body Mass Index
Software
Logistic Models

Keywords

  • complex disease
  • DNA variants
  • extracellular matrix
  • genetic association study
  • genetic epidemiology
  • genomics
  • genotype
  • haplotype
  • high dimensional biology
  • intrauterine growth restriction
  • SNP

ASJC Scopus subject areas

  • Pediatrics, Perinatology, and Child Health
  • Obstetrics and Gynecology

Cite this

Polymorphisms in maternal and fetal genes encoding for proteins involved in extracellular matrix metabolism alter the risk for small-for-gestational-age. / Edwards, Digna R Velez; Romero, Roberto; Kusanovic, Juan Pedro; Hassan, Sonia S.; Mazaki-Tovi, Shali; Vaisbuch, Edi; Kim, Chong Jai; Erez, Offer; Chaiworapongsa, Tinnakorn; Pearce, Brad D.; Bartlett, Jacquelaine; Friel, Lara A.; Salisbury, Benjamin A.; Anant, Madan Kumar; Vovis, Gerald F.; Lee, Min Seob; Gomez, Ricardo; Behnke, Ernesto; Oyarzun, Enrique; Tromp, Gerard; Menon, Ramkumar; Williams, Scott M.

In: Journal of Maternal-Fetal and Neonatal Medicine, Vol. 24, No. 2, 02.2011, p. 362-380.

Research output: Contribution to journalArticle

Edwards, DRV, Romero, R, Kusanovic, JP, Hassan, SS, Mazaki-Tovi, S, Vaisbuch, E, Kim, CJ, Erez, O, Chaiworapongsa, T, Pearce, BD, Bartlett, J, Friel, LA, Salisbury, BA, Anant, MK, Vovis, GF, Lee, MS, Gomez, R, Behnke, E, Oyarzun, E, Tromp, G, Menon, R & Williams, SM 2011, 'Polymorphisms in maternal and fetal genes encoding for proteins involved in extracellular matrix metabolism alter the risk for small-for-gestational-age', Journal of Maternal-Fetal and Neonatal Medicine, vol. 24, no. 2, pp. 362-380. https://doi.org/10.3109/14767058.2010.497572
Edwards, Digna R Velez ; Romero, Roberto ; Kusanovic, Juan Pedro ; Hassan, Sonia S. ; Mazaki-Tovi, Shali ; Vaisbuch, Edi ; Kim, Chong Jai ; Erez, Offer ; Chaiworapongsa, Tinnakorn ; Pearce, Brad D. ; Bartlett, Jacquelaine ; Friel, Lara A. ; Salisbury, Benjamin A. ; Anant, Madan Kumar ; Vovis, Gerald F. ; Lee, Min Seob ; Gomez, Ricardo ; Behnke, Ernesto ; Oyarzun, Enrique ; Tromp, Gerard ; Menon, Ramkumar ; Williams, Scott M. / Polymorphisms in maternal and fetal genes encoding for proteins involved in extracellular matrix metabolism alter the risk for small-for-gestational-age. In: Journal of Maternal-Fetal and Neonatal Medicine. 2011 ; Vol. 24, No. 2. pp. 362-380.
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abstract = "Objective. To examine the association between maternal and fetal genetic variants and small-for-gestational-age (SGA). Methods. A casecontrol study was conducted in patients with SGA neonates (530 maternal and 436 fetal) and controls (599 maternal and 628 fetal); 190 candidate genes and 775 SNPs were studied. Single-locus, multi-locus and haplotype association analyses were performed on maternal and fetal data with logistic regression, multifactor dimensionality reduction (MDR) analysis, and haplotype-based association with 2 and 3 marker sliding windows, respectively. Ingenuity pathway analysis (IPA) software was used to assess pathways that associate with SGA. Results. The most significant single-locus association in maternal data was with a SNP in tissue inhibitor of metalloproteinase 2 (TIMP2) (rs2277698 OR=1.71, 95{\%} CI [1.26-2.32], p=0.0006) while in the fetus it was with a SNP in fibronectin 1 isoform 3 preproprotein (FN1) (rs3796123, OR=1.46, 95{\%} CI [1.20-1.78], p=0.0001). Both SNPs were adjusted for potential confounders (maternal body mass index and fetal sex). Haplotype analyses resulted in associations in α 1 type I collagen preproprotein (COL1A1, rs1007086-rs2141279-rs17639446, global p=0.006) in mothers and FN1 (rs2304573-rs1250204-rs1250215, global p=0.045) in fetuses. Multi-locus analyses with MDR identified a two SNP model with maternal variants collagen type V α 2 (COL5A2) and plasminogen activator urokinase (PLAU) predicting SGA outcome correctly 59{\%} of the time (p=0.035). Conclusions. Genetic variants in extracellular matrix-related genes showed significant single-locus association with SGA. These data are consistent with other studies that have observed elevated circulating fibronectin concentrations in association with increased risk of SGA. The present study supports the hypothesis that DNA variants can partially explain the risk of SGA in a cohort of Hispanic women.",
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T1 - Polymorphisms in maternal and fetal genes encoding for proteins involved in extracellular matrix metabolism alter the risk for small-for-gestational-age

AU - Edwards, Digna R Velez

AU - Romero, Roberto

AU - Kusanovic, Juan Pedro

AU - Hassan, Sonia S.

AU - Mazaki-Tovi, Shali

AU - Vaisbuch, Edi

AU - Kim, Chong Jai

AU - Erez, Offer

AU - Chaiworapongsa, Tinnakorn

AU - Pearce, Brad D.

AU - Bartlett, Jacquelaine

AU - Friel, Lara A.

AU - Salisbury, Benjamin A.

AU - Anant, Madan Kumar

AU - Vovis, Gerald F.

AU - Lee, Min Seob

AU - Gomez, Ricardo

AU - Behnke, Ernesto

AU - Oyarzun, Enrique

AU - Tromp, Gerard

AU - Menon, Ramkumar

AU - Williams, Scott M.

PY - 2011/2

Y1 - 2011/2

N2 - Objective. To examine the association between maternal and fetal genetic variants and small-for-gestational-age (SGA). Methods. A casecontrol study was conducted in patients with SGA neonates (530 maternal and 436 fetal) and controls (599 maternal and 628 fetal); 190 candidate genes and 775 SNPs were studied. Single-locus, multi-locus and haplotype association analyses were performed on maternal and fetal data with logistic regression, multifactor dimensionality reduction (MDR) analysis, and haplotype-based association with 2 and 3 marker sliding windows, respectively. Ingenuity pathway analysis (IPA) software was used to assess pathways that associate with SGA. Results. The most significant single-locus association in maternal data was with a SNP in tissue inhibitor of metalloproteinase 2 (TIMP2) (rs2277698 OR=1.71, 95% CI [1.26-2.32], p=0.0006) while in the fetus it was with a SNP in fibronectin 1 isoform 3 preproprotein (FN1) (rs3796123, OR=1.46, 95% CI [1.20-1.78], p=0.0001). Both SNPs were adjusted for potential confounders (maternal body mass index and fetal sex). Haplotype analyses resulted in associations in α 1 type I collagen preproprotein (COL1A1, rs1007086-rs2141279-rs17639446, global p=0.006) in mothers and FN1 (rs2304573-rs1250204-rs1250215, global p=0.045) in fetuses. Multi-locus analyses with MDR identified a two SNP model with maternal variants collagen type V α 2 (COL5A2) and plasminogen activator urokinase (PLAU) predicting SGA outcome correctly 59% of the time (p=0.035). Conclusions. Genetic variants in extracellular matrix-related genes showed significant single-locus association with SGA. These data are consistent with other studies that have observed elevated circulating fibronectin concentrations in association with increased risk of SGA. The present study supports the hypothesis that DNA variants can partially explain the risk of SGA in a cohort of Hispanic women.

AB - Objective. To examine the association between maternal and fetal genetic variants and small-for-gestational-age (SGA). Methods. A casecontrol study was conducted in patients with SGA neonates (530 maternal and 436 fetal) and controls (599 maternal and 628 fetal); 190 candidate genes and 775 SNPs were studied. Single-locus, multi-locus and haplotype association analyses were performed on maternal and fetal data with logistic regression, multifactor dimensionality reduction (MDR) analysis, and haplotype-based association with 2 and 3 marker sliding windows, respectively. Ingenuity pathway analysis (IPA) software was used to assess pathways that associate with SGA. Results. The most significant single-locus association in maternal data was with a SNP in tissue inhibitor of metalloproteinase 2 (TIMP2) (rs2277698 OR=1.71, 95% CI [1.26-2.32], p=0.0006) while in the fetus it was with a SNP in fibronectin 1 isoform 3 preproprotein (FN1) (rs3796123, OR=1.46, 95% CI [1.20-1.78], p=0.0001). Both SNPs were adjusted for potential confounders (maternal body mass index and fetal sex). Haplotype analyses resulted in associations in α 1 type I collagen preproprotein (COL1A1, rs1007086-rs2141279-rs17639446, global p=0.006) in mothers and FN1 (rs2304573-rs1250204-rs1250215, global p=0.045) in fetuses. Multi-locus analyses with MDR identified a two SNP model with maternal variants collagen type V α 2 (COL5A2) and plasminogen activator urokinase (PLAU) predicting SGA outcome correctly 59% of the time (p=0.035). Conclusions. Genetic variants in extracellular matrix-related genes showed significant single-locus association with SGA. These data are consistent with other studies that have observed elevated circulating fibronectin concentrations in association with increased risk of SGA. The present study supports the hypothesis that DNA variants can partially explain the risk of SGA in a cohort of Hispanic women.

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KW - DNA variants

KW - extracellular matrix

KW - genetic association study

KW - genetic epidemiology

KW - genomics

KW - genotype

KW - haplotype

KW - high dimensional biology

KW - intrauterine growth restriction

KW - SNP

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