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EMR-linked GWAS study: investigation of variation landscape of loci for body mass index in children
Common variations at the loci harboring the fat mass and obesity gene (FTO), MC4R, and TMEM18 are consistently reported as being associated with obesity and body mass index (BMI) especially in adult population. In order to confirm this effect in pediatric population five European ancestry cohorts fr...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3847941/ https://www.ncbi.nlm.nih.gov/pubmed/24348519 http://dx.doi.org/10.3389/fgene.2013.00268 |
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author | Namjou, Bahram Keddache, Mehdi Marsolo, Keith Wagner, Michael Lingren, Todd Cobb, Beth Perry, Cassandra Kennebeck, Stephanie Holm, Ingrid A. Li, Rongling Crimmins, Nancy A. Martin, Lisa Solti, Imre Kohane, Isaac S. Harley, John B. |
author_facet | Namjou, Bahram Keddache, Mehdi Marsolo, Keith Wagner, Michael Lingren, Todd Cobb, Beth Perry, Cassandra Kennebeck, Stephanie Holm, Ingrid A. Li, Rongling Crimmins, Nancy A. Martin, Lisa Solti, Imre Kohane, Isaac S. Harley, John B. |
author_sort | Namjou, Bahram |
collection | PubMed |
description | Common variations at the loci harboring the fat mass and obesity gene (FTO), MC4R, and TMEM18 are consistently reported as being associated with obesity and body mass index (BMI) especially in adult population. In order to confirm this effect in pediatric population five European ancestry cohorts from pediatric eMERGE-II network (CCHMC-BCH) were evaluated. Method: Data on 5049 samples of European ancestry were obtained from the Electronic Medical Records (EMRs) of two large academic centers in five different genotyped cohorts. For all available samples, gender, age, height, and weight were collected and BMI was calculated. To account for age and sex differences in BMI, BMI z-scores were generated using 2000 Centers of Disease Control and Prevention (CDC) growth charts. A Genome-wide association study (GWAS) was performed with BMI z-score. After removing missing data and outliers based on principal components (PC) analyses, 2860 samples were used for the GWAS study. The association between each single nucleotide polymorphism (SNP) and BMI was tested using linear regression adjusting for age, gender, and PC by cohort. The effects of SNPs were modeled assuming additive, recessive, and dominant effects of the minor allele. Meta-analysis was conducted using a weighted z-score approach. Results: The mean age of subjects was 9.8 years (range 2–19). The proportion of male subjects was 56%. In these cohorts, 14% of samples had a BMI ≥95 and 28 ≥ 85%. Meta analyses produced a signal at 16q12 genomic region with the best result of p = 1.43 × 10(-)(7) [p((rec)) = 7.34 × 10(-)(8)) for the SNP rs8050136 at the first intron of FTO gene (z = 5.26) and with no heterogeneity between cohorts (p = 0.77). Under a recessive model, another published SNP at this locus, rs1421085, generates the best result [z = 5.782, p((rec)) = 8.21 × 10(-)(9)]. Imputation in this region using dense 1000-Genome and Hapmap CEU samples revealed 71 SNPs with p < 10(-)(6), all at the first intron of FTO locus. When hetero-geneity was permitted between cohorts, signals were also obtained in other previously identified loci, including MC4R (rs12964056, p = 6.87 × 10(-)(7), z = -4.98), cholecystokinin CCK (rs8192472, p = 1.33 × 10(-)(6), z = -4.85), Interleukin 15 (rs2099884, p = 1.27 × 10(-)(5), z = 4.34), low density lipoprotein receptor-related protein 1B [LRP1B (rs7583748, p = 0.00013, z = -3.81)] and near transmembrane protein 18 (TMEM18) (rs7561317, p = 0.001, z = -3.17). We also detected a novel locus at chromosome 3 at COL6A5 [best SNP = rs1542829, minor allele frequency (MAF) of 5% p = 4.35 × 10(-)(9), z = 5.89]. Conclusion: An EMR linked cohort study demonstrates that the BMI-Z measurements can be successfully extracted and linked to genomic data with meaningful confirmatory results. We verified the high prevalence of childhood rate of overweight and obesity in our cohort (28%). In addition, our data indicate that genetic variants in the first intron of FTO, a known adult genetic risk factor for BMI, are also robustly associated with BMI in pediatric population. |
format | Online Article Text |
id | pubmed-3847941 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-38479412013-12-17 EMR-linked GWAS study: investigation of variation landscape of loci for body mass index in children Namjou, Bahram Keddache, Mehdi Marsolo, Keith Wagner, Michael Lingren, Todd Cobb, Beth Perry, Cassandra Kennebeck, Stephanie Holm, Ingrid A. Li, Rongling Crimmins, Nancy A. Martin, Lisa Solti, Imre Kohane, Isaac S. Harley, John B. Front Genet Genetics Common variations at the loci harboring the fat mass and obesity gene (FTO), MC4R, and TMEM18 are consistently reported as being associated with obesity and body mass index (BMI) especially in adult population. In order to confirm this effect in pediatric population five European ancestry cohorts from pediatric eMERGE-II network (CCHMC-BCH) were evaluated. Method: Data on 5049 samples of European ancestry were obtained from the Electronic Medical Records (EMRs) of two large academic centers in five different genotyped cohorts. For all available samples, gender, age, height, and weight were collected and BMI was calculated. To account for age and sex differences in BMI, BMI z-scores were generated using 2000 Centers of Disease Control and Prevention (CDC) growth charts. A Genome-wide association study (GWAS) was performed with BMI z-score. After removing missing data and outliers based on principal components (PC) analyses, 2860 samples were used for the GWAS study. The association between each single nucleotide polymorphism (SNP) and BMI was tested using linear regression adjusting for age, gender, and PC by cohort. The effects of SNPs were modeled assuming additive, recessive, and dominant effects of the minor allele. Meta-analysis was conducted using a weighted z-score approach. Results: The mean age of subjects was 9.8 years (range 2–19). The proportion of male subjects was 56%. In these cohorts, 14% of samples had a BMI ≥95 and 28 ≥ 85%. Meta analyses produced a signal at 16q12 genomic region with the best result of p = 1.43 × 10(-)(7) [p((rec)) = 7.34 × 10(-)(8)) for the SNP rs8050136 at the first intron of FTO gene (z = 5.26) and with no heterogeneity between cohorts (p = 0.77). Under a recessive model, another published SNP at this locus, rs1421085, generates the best result [z = 5.782, p((rec)) = 8.21 × 10(-)(9)]. Imputation in this region using dense 1000-Genome and Hapmap CEU samples revealed 71 SNPs with p < 10(-)(6), all at the first intron of FTO locus. When hetero-geneity was permitted between cohorts, signals were also obtained in other previously identified loci, including MC4R (rs12964056, p = 6.87 × 10(-)(7), z = -4.98), cholecystokinin CCK (rs8192472, p = 1.33 × 10(-)(6), z = -4.85), Interleukin 15 (rs2099884, p = 1.27 × 10(-)(5), z = 4.34), low density lipoprotein receptor-related protein 1B [LRP1B (rs7583748, p = 0.00013, z = -3.81)] and near transmembrane protein 18 (TMEM18) (rs7561317, p = 0.001, z = -3.17). We also detected a novel locus at chromosome 3 at COL6A5 [best SNP = rs1542829, minor allele frequency (MAF) of 5% p = 4.35 × 10(-)(9), z = 5.89]. Conclusion: An EMR linked cohort study demonstrates that the BMI-Z measurements can be successfully extracted and linked to genomic data with meaningful confirmatory results. We verified the high prevalence of childhood rate of overweight and obesity in our cohort (28%). In addition, our data indicate that genetic variants in the first intron of FTO, a known adult genetic risk factor for BMI, are also robustly associated with BMI in pediatric population. Frontiers Media S.A. 2013-12-03 /pmc/articles/PMC3847941/ /pubmed/24348519 http://dx.doi.org/10.3389/fgene.2013.00268 Text en Copyright © 2013 Namjou, Keddache, Marsolo, Wagner, Lingren, Cobb, Perry, Kennebeck, Holm, Li, Crimmins,Martin, Solti, Kohane and Harley. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Genetics Namjou, Bahram Keddache, Mehdi Marsolo, Keith Wagner, Michael Lingren, Todd Cobb, Beth Perry, Cassandra Kennebeck, Stephanie Holm, Ingrid A. Li, Rongling Crimmins, Nancy A. Martin, Lisa Solti, Imre Kohane, Isaac S. Harley, John B. EMR-linked GWAS study: investigation of variation landscape of loci for body mass index in children |
title | EMR-linked GWAS study: investigation of variation landscape of loci for body mass index in children |
title_full | EMR-linked GWAS study: investigation of variation landscape of loci for body mass index in children |
title_fullStr | EMR-linked GWAS study: investigation of variation landscape of loci for body mass index in children |
title_full_unstemmed | EMR-linked GWAS study: investigation of variation landscape of loci for body mass index in children |
title_short | EMR-linked GWAS study: investigation of variation landscape of loci for body mass index in children |
title_sort | emr-linked gwas study: investigation of variation landscape of loci for body mass index in children |
topic | Genetics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3847941/ https://www.ncbi.nlm.nih.gov/pubmed/24348519 http://dx.doi.org/10.3389/fgene.2013.00268 |
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