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Estimated prevalence of potentially damaging variants in the leptin gene

BACKGROUND: Mutations in the leptin gene (LEP) can alter the secretion or interaction of leptin with its receptor, leading to extreme early-onset obesity. The purpose of this work was to estimate the prevalence of heterozygous and homozygous mutations in the leptin gene with the help of the Exome Ag...

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Autores principales: Nunziata, Adriana, Borck, Guntram, Funcke, Jan-Bernd, Kohlsdorf, Katja, Brandt, Stephanie, Hinney, Anke, Moepps, Barbara, Gierschik, Peter, Debatin, Klaus-Michael, Fischer-Posovszky, Pamela, Wabitsch, Martin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5670095/
https://www.ncbi.nlm.nih.gov/pubmed/29101506
http://dx.doi.org/10.1186/s40348-017-0074-x
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author Nunziata, Adriana
Borck, Guntram
Funcke, Jan-Bernd
Kohlsdorf, Katja
Brandt, Stephanie
Hinney, Anke
Moepps, Barbara
Gierschik, Peter
Debatin, Klaus-Michael
Fischer-Posovszky, Pamela
Wabitsch, Martin
author_facet Nunziata, Adriana
Borck, Guntram
Funcke, Jan-Bernd
Kohlsdorf, Katja
Brandt, Stephanie
Hinney, Anke
Moepps, Barbara
Gierschik, Peter
Debatin, Klaus-Michael
Fischer-Posovszky, Pamela
Wabitsch, Martin
author_sort Nunziata, Adriana
collection PubMed
description BACKGROUND: Mutations in the leptin gene (LEP) can alter the secretion or interaction of leptin with its receptor, leading to extreme early-onset obesity. The purpose of this work was to estimate the prevalence of heterozygous and homozygous mutations in the leptin gene with the help of the Exome Aggregation Consortium (ExAC) database (http://exac.broadinstitute.org/about). RESULTS: The ExAC database encompasses exome sequencing data from 60,706 individuals. We searched for listed leptin variants and identified 36 missense, 1 in-frame deletion, and 3 loss-of-function variants. The functional relevance of these variants was assessed by the in silico prediction tools PolyPhen-2, Sorting Intolerant from Tolerant (SIFT), and Loss-Of-Function Transcript Effect Estimator (LOFTEE). PolyPhen-2 predicted 7 of the missense variants to be probably damaging and 10 to be possibly damaging. SIFT predicted 7 of the missense variants to be deleterious. Three loss-of-function variants were predicted by LOFTEE. Excluding double counts, we can summarize 21 variants as potentially damaging. Considering the allele count, we identified 31 heterozygous but no homozygous subjects with at least probably damaging variants. In the ExAC population, the estimated prevalence of heterozygous carriers of these potentially damaging variants was 1:2000. The probability of homozygosity was 1:15,000,000. We furthermore tried to assess the functionality of ExAC-listed leptin variants by applying a knowledge-driven approach. By this approach, additional 6 of the ExAC-listed variants were considered potentially damaging, increasing the number of heterozygous subjects to 58, the prevalence of heterozygosity to 1:1050, and the probability of homozygosity to 1:4,400,000. CONCLUSION: Using exome sequencing data from ExAC, in silico prediction tools and by applying a knowledge-driven approach, we identified 27 probably damaging variants in the leptin gene of 58 heterozygous subjects. With this information, we estimate the prevalence for heterozygosity at 1:1050 corresponding to an prevalence of homozygosity of 1:4,400,000 in this large pluriethnic cohort. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s40348-017-0074-x) contains supplementary material, which is available to authorized users.
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spelling pubmed-56700952017-11-20 Estimated prevalence of potentially damaging variants in the leptin gene Nunziata, Adriana Borck, Guntram Funcke, Jan-Bernd Kohlsdorf, Katja Brandt, Stephanie Hinney, Anke Moepps, Barbara Gierschik, Peter Debatin, Klaus-Michael Fischer-Posovszky, Pamela Wabitsch, Martin Mol Cell Pediatr Research BACKGROUND: Mutations in the leptin gene (LEP) can alter the secretion or interaction of leptin with its receptor, leading to extreme early-onset obesity. The purpose of this work was to estimate the prevalence of heterozygous and homozygous mutations in the leptin gene with the help of the Exome Aggregation Consortium (ExAC) database (http://exac.broadinstitute.org/about). RESULTS: The ExAC database encompasses exome sequencing data from 60,706 individuals. We searched for listed leptin variants and identified 36 missense, 1 in-frame deletion, and 3 loss-of-function variants. The functional relevance of these variants was assessed by the in silico prediction tools PolyPhen-2, Sorting Intolerant from Tolerant (SIFT), and Loss-Of-Function Transcript Effect Estimator (LOFTEE). PolyPhen-2 predicted 7 of the missense variants to be probably damaging and 10 to be possibly damaging. SIFT predicted 7 of the missense variants to be deleterious. Three loss-of-function variants were predicted by LOFTEE. Excluding double counts, we can summarize 21 variants as potentially damaging. Considering the allele count, we identified 31 heterozygous but no homozygous subjects with at least probably damaging variants. In the ExAC population, the estimated prevalence of heterozygous carriers of these potentially damaging variants was 1:2000. The probability of homozygosity was 1:15,000,000. We furthermore tried to assess the functionality of ExAC-listed leptin variants by applying a knowledge-driven approach. By this approach, additional 6 of the ExAC-listed variants were considered potentially damaging, increasing the number of heterozygous subjects to 58, the prevalence of heterozygosity to 1:1050, and the probability of homozygosity to 1:4,400,000. CONCLUSION: Using exome sequencing data from ExAC, in silico prediction tools and by applying a knowledge-driven approach, we identified 27 probably damaging variants in the leptin gene of 58 heterozygous subjects. With this information, we estimate the prevalence for heterozygosity at 1:1050 corresponding to an prevalence of homozygosity of 1:4,400,000 in this large pluriethnic cohort. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s40348-017-0074-x) contains supplementary material, which is available to authorized users. Springer Berlin Heidelberg 2017-11-03 /pmc/articles/PMC5670095/ /pubmed/29101506 http://dx.doi.org/10.1186/s40348-017-0074-x Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Research
Nunziata, Adriana
Borck, Guntram
Funcke, Jan-Bernd
Kohlsdorf, Katja
Brandt, Stephanie
Hinney, Anke
Moepps, Barbara
Gierschik, Peter
Debatin, Klaus-Michael
Fischer-Posovszky, Pamela
Wabitsch, Martin
Estimated prevalence of potentially damaging variants in the leptin gene
title Estimated prevalence of potentially damaging variants in the leptin gene
title_full Estimated prevalence of potentially damaging variants in the leptin gene
title_fullStr Estimated prevalence of potentially damaging variants in the leptin gene
title_full_unstemmed Estimated prevalence of potentially damaging variants in the leptin gene
title_short Estimated prevalence of potentially damaging variants in the leptin gene
title_sort estimated prevalence of potentially damaging variants in the leptin gene
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5670095/
https://www.ncbi.nlm.nih.gov/pubmed/29101506
http://dx.doi.org/10.1186/s40348-017-0074-x
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