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Identification and characterization of the long non-coding RNA NFIA-AS2 as a novel locus for body mass index in American Indians

BACKGROUND: Genome-wide association studies have shown that body mass index (BMI), an estimate of obesity, is highly polygenic. Individual variants typically have small effect sizes, making it challenging to identify unique loci in under-represented ethnic groups which lack statistical power due to...

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Autores principales: Bandesh, Khushdeep, Traurig, Michael, Chen, Peng, Hsueh, Wen-Chi, Hanson, Robert L., Piaggi, Paolo, Baier, Leslie J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10212757/
https://www.ncbi.nlm.nih.gov/pubmed/36806387
http://dx.doi.org/10.1038/s41366-023-01278-5
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author Bandesh, Khushdeep
Traurig, Michael
Chen, Peng
Hsueh, Wen-Chi
Hanson, Robert L.
Piaggi, Paolo
Baier, Leslie J.
author_facet Bandesh, Khushdeep
Traurig, Michael
Chen, Peng
Hsueh, Wen-Chi
Hanson, Robert L.
Piaggi, Paolo
Baier, Leslie J.
author_sort Bandesh, Khushdeep
collection PubMed
description BACKGROUND: Genome-wide association studies have shown that body mass index (BMI), an estimate of obesity, is highly polygenic. Individual variants typically have small effect sizes, making it challenging to identify unique loci in under-represented ethnic groups which lack statistical power due to their small sample size. Yet obesity is a major health disparity and is particularly prevalent in southwestern American Indians. Here, we identify and characterize a new locus for BMI that was detected by analyzing moderate associations with BMI obtained in a population-based sample of southwestern American Indians together with the well-powered GIANT dataset. METHODS: Genotypes for 10.5 million variants were tested for association with BMI in 5870 American Indians and 2600 variants that showed an association P < 10(−3) in the American Indian sample were combined in a meta-analysis with the BMI data reported in GIANT (N = 240,608). The newly identified gene, NFIA-AS2 was functionally characterized, and the impact of its lead associated variant rs1777538 was studied both in-silico and in-vitro. RESULTS: Rs1777538 (T/C; C allele frequency = 0.16 in American Indians and 0.04 in GIANT, meta-analysis P = 5.0 × 10(−7)) exhibited a large effect in American Indians (1 kg/m(2) decrease in BMI per copy of C allele). NFIA-AS2 was found to be a nuclear localized long non-coding RNA expressed in tissues pertinent to human obesity. Analysis of this variant in human brown preadipocytes showed that NFIA-AS2 transcripts carrying the C allele had increased RNA degradation compared to the T allele transcripts (half-lives = 9 h, 13 h respectively). During brown adipogenesis, NFIA-AS2 featured a stage-specific regulation of nearby gene expression where rs1777538 demonstrated an allelic difference in regulation in the mature adipocytes (the strongest difference was observed for L1TD1, P = 0.007). CONCLUSION: Our findings support a role for NFIA-AS2 in regulating pathways that impact BMI.
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spelling pubmed-102127572023-05-27 Identification and characterization of the long non-coding RNA NFIA-AS2 as a novel locus for body mass index in American Indians Bandesh, Khushdeep Traurig, Michael Chen, Peng Hsueh, Wen-Chi Hanson, Robert L. Piaggi, Paolo Baier, Leslie J. Int J Obes (Lond) Article BACKGROUND: Genome-wide association studies have shown that body mass index (BMI), an estimate of obesity, is highly polygenic. Individual variants typically have small effect sizes, making it challenging to identify unique loci in under-represented ethnic groups which lack statistical power due to their small sample size. Yet obesity is a major health disparity and is particularly prevalent in southwestern American Indians. Here, we identify and characterize a new locus for BMI that was detected by analyzing moderate associations with BMI obtained in a population-based sample of southwestern American Indians together with the well-powered GIANT dataset. METHODS: Genotypes for 10.5 million variants were tested for association with BMI in 5870 American Indians and 2600 variants that showed an association P < 10(−3) in the American Indian sample were combined in a meta-analysis with the BMI data reported in GIANT (N = 240,608). The newly identified gene, NFIA-AS2 was functionally characterized, and the impact of its lead associated variant rs1777538 was studied both in-silico and in-vitro. RESULTS: Rs1777538 (T/C; C allele frequency = 0.16 in American Indians and 0.04 in GIANT, meta-analysis P = 5.0 × 10(−7)) exhibited a large effect in American Indians (1 kg/m(2) decrease in BMI per copy of C allele). NFIA-AS2 was found to be a nuclear localized long non-coding RNA expressed in tissues pertinent to human obesity. Analysis of this variant in human brown preadipocytes showed that NFIA-AS2 transcripts carrying the C allele had increased RNA degradation compared to the T allele transcripts (half-lives = 9 h, 13 h respectively). During brown adipogenesis, NFIA-AS2 featured a stage-specific regulation of nearby gene expression where rs1777538 demonstrated an allelic difference in regulation in the mature adipocytes (the strongest difference was observed for L1TD1, P = 0.007). CONCLUSION: Our findings support a role for NFIA-AS2 in regulating pathways that impact BMI. Nature Publishing Group UK 2023-02-17 2023 /pmc/articles/PMC10212757/ /pubmed/36806387 http://dx.doi.org/10.1038/s41366-023-01278-5 Text en © This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as 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. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Bandesh, Khushdeep
Traurig, Michael
Chen, Peng
Hsueh, Wen-Chi
Hanson, Robert L.
Piaggi, Paolo
Baier, Leslie J.
Identification and characterization of the long non-coding RNA NFIA-AS2 as a novel locus for body mass index in American Indians
title Identification and characterization of the long non-coding RNA NFIA-AS2 as a novel locus for body mass index in American Indians
title_full Identification and characterization of the long non-coding RNA NFIA-AS2 as a novel locus for body mass index in American Indians
title_fullStr Identification and characterization of the long non-coding RNA NFIA-AS2 as a novel locus for body mass index in American Indians
title_full_unstemmed Identification and characterization of the long non-coding RNA NFIA-AS2 as a novel locus for body mass index in American Indians
title_short Identification and characterization of the long non-coding RNA NFIA-AS2 as a novel locus for body mass index in American Indians
title_sort identification and characterization of the long non-coding rna nfia-as2 as a novel locus for body mass index in american indians
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10212757/
https://www.ncbi.nlm.nih.gov/pubmed/36806387
http://dx.doi.org/10.1038/s41366-023-01278-5
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