J Pediatr Genet 2012; 01(02): 085-098
DOI: 10.3233/PGE-2012-016
Georg Thieme Verlag KG Stuttgart – New York

Examination of genetic variants influencing lipid traits in pediatric populations

Kai Wang
a   Center for Applied Genomics, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
,
Haitao Zhang
a   Center for Applied Genomics, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
,
Frank D. Mentch
a   Center for Applied Genomics, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
,
Jonathan P. Bradfield
a   Center for Applied Genomics, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
,
Joseph T. Glessner
a   Center for Applied Genomics, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
,
Haijun Qiu
a   Center for Applied Genomics, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
,
Yiran Guo
a   Center for Applied Genomics, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
,
Cuiping Hou
a   Center for Applied Genomics, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
,
Edward C. Frackelton
a   Center for Applied Genomics, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
,
Kelly Thomas
a   Center for Applied Genomics, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
,
Amber Bender
a   Center for Applied Genomics, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
,
Anthony Albano
a   Center for Applied Genomics, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
,
George Otieno
a   Center for Applied Genomics, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
,
Maria Garris
a   Center for Applied Genomics, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
,
Kallyn Seidler
a   Center for Applied Genomics, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
,
Alexander Moy
a   Center for Applied Genomics, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
,
Cecilia E. Kim
a   Center for Applied Genomics, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
,
Brendan Keating
a   Center for Applied Genomics, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
,
Rosetta M. Chiavacci
a   Center for Applied Genomics, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
,
Robert Grundmeier
a   Center for Applied Genomics, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
,
Patrick A. Sleiman
a   Center for Applied Genomics, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
,
Struan F.A. Grant
a   Center for Applied Genomics, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
,
Hakon Hakonarson
a   Center for Applied Genomics, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
› Author Affiliations

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Further Information

Publication History

03 October 2010

28 April 2011

Publication Date:
27 July 2015 (online)

Abstract

Previous large-scale genome-wide association studies in adult populations have implicated ∽100 loci in determining high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol, or triglyceride levels. However, whether these loci also contribute to variations of lipid traits in pediatric populations remain unknown. Here we assayed a population of Philadelphia children by high-density single nucleotide polymorphism arrays, and performed association analysis on lipid traits ascertained from lipid measurements stored in electronic medical records. We examined previously reported lipid trait associations, and found that most of them show identical direction of association in our pediatric cohorts, including genome-wide significant association on cholesteryl ester transfer protein with HDL-C levels (rs3764261, P = 2.1 × 10−8) and other significant associations on oxysterol-binding protein-like protein 7, low-density lipoprotein receptor-related protein 4 and low-density lipoprotein receptor-related protein 1. Additionally, we identified suggestive association on low-density lipoprotein receptor-related protein 1B with HDL-C levels (rs17736712, P = 2.1 × 10−7), but this signal is not supported by previous meta-analysis on adult cohorts. Finally, we examined rare copy number variants and identified deletions encompassing tetratricopeptide repeat domain 39B in two children with extreme lipid measures. Our results highlight the commonalities and differences of genetic components in determining lipid traits in pediatric versus adult populations. Furthermore, our study demonstrates the unique utility of automated information retrieval from electronic medical records in facilitating the identification of genotype-phenotype associations.