Cargando…
Twelve New Genomic Loci Associated With Bone Mineral Density
Aiming to identify more genomic loci associated with bone mineral density (BMD), we conducted a joint association analysis of 2 genome-wide association study (GWAS) by the integrative association method multi-trait analysis of GWAS (MTAG). The first one is the single GWAS of estimated heel BMD (eBMD...
Autores principales: | , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7188784/ https://www.ncbi.nlm.nih.gov/pubmed/32390946 http://dx.doi.org/10.3389/fendo.2020.00243 |
_version_ | 1783527367082246144 |
---|---|
author | Liu, Lu Zhao, Min Xie, Zong-Gang Liu, Ju Peng, Hui-Ping Pei, Yu-Fang Sun, Hong-Peng Zhang, Lei |
author_facet | Liu, Lu Zhao, Min Xie, Zong-Gang Liu, Ju Peng, Hui-Ping Pei, Yu-Fang Sun, Hong-Peng Zhang, Lei |
author_sort | Liu, Lu |
collection | PubMed |
description | Aiming to identify more genomic loci associated with bone mineral density (BMD), we conducted a joint association analysis of 2 genome-wide association study (GWAS) by the integrative association method multi-trait analysis of GWAS (MTAG). The first one is the single GWAS of estimated heel BMD (eBMD) in the UK biobank (UKB) cohort (N = 426,824), and the second one is the GWAS meta-analysis of total body BMD (TB-BMD) in 66,628 participants from 30 studies. Approximate conditional association analysis was performed in the identified novel loci to identify secondary association signal. Statistical fine-mapping was conducted to prioritize plausible credible risk variants (CRVs). Candidate genes were prioritized based on the analyses of cis- expression quantitative trait locus (cis-eQTL) and cis-protein QTL (cis-pQTL) information as well as the functional category of the SNP. By integrating the information carried in over 490,000 participants, this largest joint analysis of BMD GWAS identified 12 novel genomic loci at the genome-wide significance level (GWS, p = 5.0 × 10(−8)), nine of which were for eBMD and four were for TB-BMD, explaining an additional 0.11 and 0.23% heritability for the two traits, respectively. These loci include 1p33 (lead SNP rs10493130, p(eBMD) = 3.19 × 10(−8)), 5q13.2 (rs4703589, p(eBMD) = 4.78 × 10(−8)), 5q31.3 (rs9324887, p(TB−BMD) = 1.36 × 10(−9)), 6p21.32 (rs6905837, p(eBMD) = 3.32 × 10(−8)), 6q14.1 (rs10806234, p(eBMD) = 2.63 × 10(−8)), 7q21.11 (rs10806234, p(TB−BMD) = 3.37 × 10(−8)), 8q24.12 (rs11995866, p(eBMD) = 6.72 × 10(−9)), 12p13.31 (rs1639122, p(eBMD) = 4.43 × 10(−8)), 12p12.1 (rs58489179, p(eBMD) = 4.74 × 10(−8)), 12q24.23 (rs75499226, p(eBMD) = 1.44 × 10(−8)), 19q13.31 (rs7255083, p(TB−BMD) = 2.18 × 10(−8)) and 22q11.23 (rs13056137, p(TB−BMD) = 2.54 × 10(−8)). All lead SNPs in these 12 loci are nominally significant in both original studies as well as consistent in effect direction between them, providing solid evidence of replication. Approximate conditional analysis identified one secondary signal in 5q13.2 (rs11738874, p(conditional) = 5.06 × 10(−9)). Statistical fine-mapping analysis prioritized 269 CRVs. A total of 65 candidate genes were prioritized, including those with known biological function to bone development (such as FGF1, COL11A2 and DEPTOR). Our findings provide novel insights into a better understanding of the genetic mechanism underlying bone development as well as candidate genes for future functional investigation. |
format | Online Article Text |
id | pubmed-7188784 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-71887842020-05-08 Twelve New Genomic Loci Associated With Bone Mineral Density Liu, Lu Zhao, Min Xie, Zong-Gang Liu, Ju Peng, Hui-Ping Pei, Yu-Fang Sun, Hong-Peng Zhang, Lei Front Endocrinol (Lausanne) Endocrinology Aiming to identify more genomic loci associated with bone mineral density (BMD), we conducted a joint association analysis of 2 genome-wide association study (GWAS) by the integrative association method multi-trait analysis of GWAS (MTAG). The first one is the single GWAS of estimated heel BMD (eBMD) in the UK biobank (UKB) cohort (N = 426,824), and the second one is the GWAS meta-analysis of total body BMD (TB-BMD) in 66,628 participants from 30 studies. Approximate conditional association analysis was performed in the identified novel loci to identify secondary association signal. Statistical fine-mapping was conducted to prioritize plausible credible risk variants (CRVs). Candidate genes were prioritized based on the analyses of cis- expression quantitative trait locus (cis-eQTL) and cis-protein QTL (cis-pQTL) information as well as the functional category of the SNP. By integrating the information carried in over 490,000 participants, this largest joint analysis of BMD GWAS identified 12 novel genomic loci at the genome-wide significance level (GWS, p = 5.0 × 10(−8)), nine of which were for eBMD and four were for TB-BMD, explaining an additional 0.11 and 0.23% heritability for the two traits, respectively. These loci include 1p33 (lead SNP rs10493130, p(eBMD) = 3.19 × 10(−8)), 5q13.2 (rs4703589, p(eBMD) = 4.78 × 10(−8)), 5q31.3 (rs9324887, p(TB−BMD) = 1.36 × 10(−9)), 6p21.32 (rs6905837, p(eBMD) = 3.32 × 10(−8)), 6q14.1 (rs10806234, p(eBMD) = 2.63 × 10(−8)), 7q21.11 (rs10806234, p(TB−BMD) = 3.37 × 10(−8)), 8q24.12 (rs11995866, p(eBMD) = 6.72 × 10(−9)), 12p13.31 (rs1639122, p(eBMD) = 4.43 × 10(−8)), 12p12.1 (rs58489179, p(eBMD) = 4.74 × 10(−8)), 12q24.23 (rs75499226, p(eBMD) = 1.44 × 10(−8)), 19q13.31 (rs7255083, p(TB−BMD) = 2.18 × 10(−8)) and 22q11.23 (rs13056137, p(TB−BMD) = 2.54 × 10(−8)). All lead SNPs in these 12 loci are nominally significant in both original studies as well as consistent in effect direction between them, providing solid evidence of replication. Approximate conditional analysis identified one secondary signal in 5q13.2 (rs11738874, p(conditional) = 5.06 × 10(−9)). Statistical fine-mapping analysis prioritized 269 CRVs. A total of 65 candidate genes were prioritized, including those with known biological function to bone development (such as FGF1, COL11A2 and DEPTOR). Our findings provide novel insights into a better understanding of the genetic mechanism underlying bone development as well as candidate genes for future functional investigation. Frontiers Media S.A. 2020-04-22 /pmc/articles/PMC7188784/ /pubmed/32390946 http://dx.doi.org/10.3389/fendo.2020.00243 Text en Copyright © 2020 Liu, Zhao, Xie, Liu, Peng, Pei, Sun and Zhang. http://creativecommons.org/licenses/by/4.0/ 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) and the copyright owner(s) 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 | Endocrinology Liu, Lu Zhao, Min Xie, Zong-Gang Liu, Ju Peng, Hui-Ping Pei, Yu-Fang Sun, Hong-Peng Zhang, Lei Twelve New Genomic Loci Associated With Bone Mineral Density |
title | Twelve New Genomic Loci Associated With Bone Mineral Density |
title_full | Twelve New Genomic Loci Associated With Bone Mineral Density |
title_fullStr | Twelve New Genomic Loci Associated With Bone Mineral Density |
title_full_unstemmed | Twelve New Genomic Loci Associated With Bone Mineral Density |
title_short | Twelve New Genomic Loci Associated With Bone Mineral Density |
title_sort | twelve new genomic loci associated with bone mineral density |
topic | Endocrinology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7188784/ https://www.ncbi.nlm.nih.gov/pubmed/32390946 http://dx.doi.org/10.3389/fendo.2020.00243 |
work_keys_str_mv | AT liulu twelvenewgenomiclociassociatedwithbonemineraldensity AT zhaomin twelvenewgenomiclociassociatedwithbonemineraldensity AT xiezonggang twelvenewgenomiclociassociatedwithbonemineraldensity AT liuju twelvenewgenomiclociassociatedwithbonemineraldensity AT penghuiping twelvenewgenomiclociassociatedwithbonemineraldensity AT peiyufang twelvenewgenomiclociassociatedwithbonemineraldensity AT sunhongpeng twelvenewgenomiclociassociatedwithbonemineraldensity AT zhanglei twelvenewgenomiclociassociatedwithbonemineraldensity |