About this item:

91 Views | 46 Downloads

Author Notes:

Arjun Bhattacharya, Email: abtbhatt@ucla.edu

Conceptualization: A.B., T.M.O., R.C.F., H.P.S.; Data curation: A.B., A.N.F., V.A., W.L., Y.L., C.P., C.J.M., T.M.O., R.C.F., H.P.S.; Formal analysis: A.B., A.N.F., W.L., H.P.S.; Funding acquisition: A.J.L., Y.L., R.M.J., L.S., K.C.K.K., C.J.M., T.M.O., R.C.F., H.P.S.; Investigation: A.B., A.N.P., H.J.H., R.C.F., H.P.S.; Methodology: A.B., Y.L., H.P.S;. Project administration: A.B., R.C.F., H.P.S.; Resources: T.M.O., R.C.F., H.P.S.; Software: A.B., W.L., Y.L.; Supervision: A.B., Y.L., R.C.F., H.P.S.; Validation: A.B., C.J.M.; Visualization: A.B., A.N.F., R.H.; Writing—original draft: A.B., R.C.F., HPS; Writing—review & editing: A.B., A.J.L., A.N.F., V.A., R.H., W.L., Y.L., R.M.J., L.S., H.JH., K.C.K.K., C.J.M., T.M.O., R.C.F., H.P.S.

We thank Michael Love, Kanishka Patel, Michael Gandal, Chloe Yap, Bogdan Pasaniuc, and Jon Huang for their thoughts about the research. We also thank the following consortia and research groups for their publicly available GWAS summary statistics, eQTL datasets, and/or epigenomic annotations: the UK Biobank and the Neale Lab, the Genetic Investigation of Anthropometric Traits Consortium, the Psychiatric Genetics Consortium, the Early Growth Genetics Consortium, the Complex Trait Genetics Lab, the Rhode Island Child Health Study, and the ENCODE Project.

The authors declare no competing interests.

Subjects:

Research Funding:

This study was supported by grants from the National Institutes of Health (NIH), specifically the National Institute of Neurological Disorders and Stroke (U01NS040069; R01NS040069), the Office of the NIH Director (UG3OD023348), the National Institute of Environmental Health Sciences (T32-ES007018; P30ES019776; R24ES028597), the National Heart, Lung and Blood Institute (R01HL47883, R01HL148577), the National Institute of Nursing Research (K23NR017898; R01NR019245), and the Eunice Kennedy Shriver National Institute of Child Health and Human Development (R01HD092374; R03HD101413; P50HD103573).

Keywords:

  • Science & Technology
  • Multidisciplinary Sciences
  • Science & Technology - Other Topics
  • DNA METHYLATION
  • DIFFERENTIAL EXPRESSION
  • MENDELIAN RANDOMIZATION
  • WIDE ASSOCIATION
  • IMPRINTED GENES
  • FETAL-GROWTH
  • CELL-LINE
  • IDENTIFICATION
  • NORMALIZATION
  • EPIGENETICS

Placental genomics mediates genetic associations with complex health traits and disease

Show all authors Show less authors

Journal Title:

NATURE COMMUNICATIONS

Volume:

Volume 13, Number 1

Publisher:

, Pages 706-706

Type of Work:

Article | Final Publisher PDF

Abstract:

As the master regulator in utero, the placenta is core to the Developmental Origins of Health and Disease (DOHaD) hypothesis but is historically understudied. To identify placental gene-trait associations (GTAs) across the life course, we perform distal mediator-enriched transcriptome-wide association studies (TWAS) for 40 traits, integrating placental multi-omics from the Extremely Low Gestational Age Newborn Study. At P<2.5×10−6, we detect 248 GTAs, mostly for neonatal and metabolic traits, across 176 genes, enriched for cell growth and immunological pathways. In aggregate, genetic effects mediated by placental expression significantly explain 4 early-life traits but no later-in-life traits. 89 GTAs show significant mediation through distal genetic variants, identifying hypotheses for distal regulation of GTAs. Investigation of one hypothesis in human placenta-derived choriocarcinoma cells reveal that knockdown of mediator gene EPS15 upregulates predicted targets SPATA13 and FAM214A, both associated with waist-hip ratio in TWAS, and multiple genes involved in metabolic pathways. These results suggest profound health impacts of placental genomic regulation in developmental programming across the life course.

Copyright information:

© The Author(s) 2022

This is an Open Access work distributed under the terms of the Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/rdf).
Export to EndNote