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Genome-wide discovery of genetic loci that uncouple excess adiposity from its comorbidities.全基因组范围内发现了将多余的肥胖与其合并症解耦的遗传位点。
Nat Metab. 2021 Feb;3(2):228-243. doi: 10.1038/s42255-021-00346-2. Epub 2021 Feb 22.
2
Quality of life, its factors, and sociodemographic characteristics of Polish women with lipedema.波兰女性脂性水肿患者的生活质量、影响因素及其社会人口学特征。
BMC Womens Health. 2021 Jan 15;21(1):27. doi: 10.1186/s12905-021-01174-y.
3
Genome-wide association study of body fat distribution identifies adiposity loci and sex-specific genetic effects.全基因组关联研究分析体脂肪分布,鉴定肥胖相关基因座和性别特异性遗传效应。
Nat Commun. 2019 Jan 21;10(1):339. doi: 10.1038/s41467-018-08000-4.
4
The UK Biobank resource with deep phenotyping and genomic data.英国生物银行资源库,具有深度表型和基因组数据。
Nature. 2018 Oct;562(7726):203-209. doi: 10.1038/s41586-018-0579-z. Epub 2018 Oct 10.
5
ADAMTS proteins in human disorders.人类疾病中的 ADAMTS 蛋白。
Matrix Biol. 2018 Oct;71-72:225-239. doi: 10.1016/j.matbio.2018.06.002. Epub 2018 Jun 6.
6
Functional mapping and annotation of genetic associations with FUMA.使用 FUMA 进行遗传关联的功能映射和注释。
Nat Commun. 2017 Nov 28;8(1):1826. doi: 10.1038/s41467-017-01261-5.
7
Actin assembly mechanisms at a glance.肌动蛋白组装机制一览。
J Cell Sci. 2017 Oct 15;130(20):3427-3435. doi: 10.1242/jcs.206433.
8
Large meta-analysis of genome-wide association studies identifies five loci for lean body mass.大规模全基因组关联研究的荟萃分析确定了五个与瘦体重相关的基因座。
Nat Commun. 2017 Jul 19;8(1):80. doi: 10.1038/s41467-017-00031-7.
9
Genetic analysis in UK Biobank links insulin resistance and transendothelial migration pathways to coronary artery disease.英国生物银行的基因分析将胰岛素抵抗和跨内皮迁移途径与冠状动脉疾病联系起来。
Nat Genet. 2017 Sep;49(9):1392-1397. doi: 10.1038/ng.3914. Epub 2017 Jul 17.
10
Integrative genomic analysis implicates limited peripheral adipose storage capacity in the pathogenesis of human insulin resistance.整合基因组分析表明,外周脂肪储存能力有限与人类胰岛素抵抗的发病机制有关。
Nat Genet. 2017 Jan;49(1):17-26. doi: 10.1038/ng.3714. Epub 2016 Nov 14.

全基因组关联研究发现,英国生物银行女性中的脂肪水肿表型与多个遗传风险因素有关。

Genome-wide association study of a lipedema phenotype among women in the UK Biobank identifies multiple genetic risk factors.

机构信息

Department of Epidemiology and Biostatistics, Mel and Enid Zuckerman College of Public Health, University of Arizona, Tucson, AZ, USA.

BIO5 Institute, University of Arizona, Arizona, AZ, USA.

出版信息

Eur J Hum Genet. 2023 Mar;31(3):338-344. doi: 10.1038/s41431-022-01231-6. Epub 2022 Nov 16.

DOI:10.1038/s41431-022-01231-6
PMID:36385154
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9995497/
Abstract

Lipedema is a common disorder characterized by excessive deposition of subcutaneous adipose tissue (SAT) in the legs, hips, and buttocks, mainly occurring in adult women. Although it appears to be heritable, no specific genes have yet been identified. To identify potential genetic risk factors for lipedema, we used bioelectrical impedance analysis and anthropometric data from the UK Biobank to identify women with and without a lipedema phenotype. Specifically, we identified women with both a high percentage of fat in the lower limbs and a relatively small waist, adjusting for hip circumference. We performed a genome-wide association study (GWAS) for this phenotype, and performed multiple sensitivity GWAS. In an independent case/control study of lipedema based on strict clinical criteria, we attempted to replicate our top hits. We identified 18 significant loci (p < 5 × 10), several of which have previously been identified in GWAS of waist-to-hip ratio with larger effects in women. Two loci (VEGFA and GRB14-COBLL1) were significantly associated with lipedema in the independent replication study. Follow-up analyses suggest an enrichment of genes expressed in blood vessels and adipose tissue, among other tissues. Our findings provide a starting point towards better understanding the genetic and physiological basis of lipedema.

摘要

脂肪营养不良是一种常见的疾病,其特征是下肢、臀部和臀部的皮下脂肪组织(SAT)过度沉积,主要发生在成年女性中。尽管它似乎具有遗传性,但尚未确定特定的基因。为了确定脂肪营养不良的潜在遗传风险因素,我们使用英国生物银行的生物电阻抗分析和人体测量数据,确定了有和没有脂肪营养不良表型的女性。具体来说,我们确定了下肢脂肪百分比高且腰围相对较小的女性,同时调整了臀围。我们对该表型进行了全基因组关联研究(GWAS),并进行了多次敏感性 GWAS。在一项基于严格临床标准的脂肪营养不良独立病例对照研究中,我们试图复制我们的顶级发现。我们确定了 18 个显著的位点(p<5×10),其中一些先前在腰臀比的 GWAS 中被发现,对女性的影响更大。两个位点(VEGFA 和 GRB14-COBLL1)在独立的复制研究中与脂肪营养不良显著相关。后续分析表明,血管和脂肪组织等组织中表达的基因富集。我们的发现为更好地理解脂肪营养不良的遗传和生理基础提供了一个起点。