血清尿酸浓度的分位数依赖性表达性。

IF 2.6 4区 生物学 Q3 BIOCHEMISTRY & MOLECULAR BIOLOGY
International Journal of Genomics Pub Date : 2021-09-02 eCollection Date: 2021-01-01 DOI:10.1155/2021/3889278
Paul T Williams
{"title":"血清尿酸浓度的分位数依赖性表达性。","authors":"Paul T Williams","doi":"10.1155/2021/3889278","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>\"Quantile-dependent expressivity\" occurs when the effect size of a genetic variant depends upon whether the phenotype (e.g., serum uric acid) is high or low relative to its distribution. Analyses were performed to test whether serum uric acid heritability is quantile-specific and whether this could explain some reported gene-environment interactions.</p><p><strong>Methods: </strong>Serum uric acid concentrations were analyzed from 2151 sibships and 12,068 offspring-parent pairs from the Framingham Heart Study. Quantile-specific heritability from offspring-parent regression slopes (<i>β</i> <sub>OP</sub>, <i>h</i> <sup>2</sup> = 2<i>β</i> <sub>OP</sub>/(1 + <i>r</i> <sub>spouse</sub>)) and full-sib regression slopes (<i>β</i> <sub>FS</sub>, <i>h</i> <sup>2</sup> = {(1 + 8<i>r</i> <sub>spouse</sub> <i>β</i> <sub>FS</sub>)<sup>0.5</sup> - 1}/(2<i>r</i> <sub>spouse</sub>)) was robustly estimated by quantile regression with nonparametric significance assigned from 1000 bootstrap samples.</p><p><strong>Results: </strong>Quantile-specific <i>h</i> <sup>2</sup> (±SE) increased with increasing percentiles of the offspring's sex- and age-adjusted uric acid distribution when estimated from <i>β</i> <sub>OP</sub> (<i>P</i> <sub>trend</sub> = 0.001): 0.34 ± 0.03 at the 10<sup>th</sup>, 0.36 ± 0.03 at the 25<sup>th</sup>, 0.41 ± 0.03 at the 50<sup>th</sup>, 0.46 ± 0.04 at the 75<sup>th</sup>, and 0.49 ± 0.05 at the 90<sup>th</sup> percentile and when estimated from <i>β</i> <sub>FS</sub> (<i>P</i> <sub>trend</sub> = 0.006). This is consistent with the larger genetic effect size of (1) the <i>SLC2A9</i> rs11722228 polymorphism in gout patients vs. controls, (2) the <i>ABCG2</i> rs2231142 polymorphism in men vs. women, (3) the <i>SLC2A9</i> rs13113918 polymorphism in obese patients prior to bariatric surgery vs. two-year postsurgery following 29 kg weight loss, (4) the <i>ABCG2</i> rs6855911 polymorphism in obese vs. nonobese women, and (5) the <i>LRP2</i> rs2544390 polymorphism in heavier drinkers vs. abstainers. Quantile-dependent expressivity may also explain the larger genetic effect size of an <i>SLC2A9</i>/<i>PKD2</i>/<i>ABCG2</i> haplotype for high vs. low intakes of alcohol, chicken, or processed meats.</p><p><strong>Conclusions: </strong>Heritability of serum uric acid concentrations is quantile-specific.</p>","PeriodicalId":13988,"journal":{"name":"International Journal of Genomics","volume":"2021 ","pages":"3889278"},"PeriodicalIF":2.6000,"publicationDate":"2021-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8448993/pdf/","citationCount":"3","resultStr":"{\"title\":\"Quantile-Dependent Expressivity of Serum Uric Acid Concentrations.\",\"authors\":\"Paul T Williams\",\"doi\":\"10.1155/2021/3889278\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Objective: </strong>\\\"Quantile-dependent expressivity\\\" occurs when the effect size of a genetic variant depends upon whether the phenotype (e.g., serum uric acid) is high or low relative to its distribution. Analyses were performed to test whether serum uric acid heritability is quantile-specific and whether this could explain some reported gene-environment interactions.</p><p><strong>Methods: </strong>Serum uric acid concentrations were analyzed from 2151 sibships and 12,068 offspring-parent pairs from the Framingham Heart Study. Quantile-specific heritability from offspring-parent regression slopes (<i>β</i> <sub>OP</sub>, <i>h</i> <sup>2</sup> = 2<i>β</i> <sub>OP</sub>/(1 + <i>r</i> <sub>spouse</sub>)) and full-sib regression slopes (<i>β</i> <sub>FS</sub>, <i>h</i> <sup>2</sup> = {(1 + 8<i>r</i> <sub>spouse</sub> <i>β</i> <sub>FS</sub>)<sup>0.5</sup> - 1}/(2<i>r</i> <sub>spouse</sub>)) was robustly estimated by quantile regression with nonparametric significance assigned from 1000 bootstrap samples.</p><p><strong>Results: </strong>Quantile-specific <i>h</i> <sup>2</sup> (±SE) increased with increasing percentiles of the offspring's sex- and age-adjusted uric acid distribution when estimated from <i>β</i> <sub>OP</sub> (<i>P</i> <sub>trend</sub> = 0.001): 0.34 ± 0.03 at the 10<sup>th</sup>, 0.36 ± 0.03 at the 25<sup>th</sup>, 0.41 ± 0.03 at the 50<sup>th</sup>, 0.46 ± 0.04 at the 75<sup>th</sup>, and 0.49 ± 0.05 at the 90<sup>th</sup> percentile and when estimated from <i>β</i> <sub>FS</sub> (<i>P</i> <sub>trend</sub> = 0.006). This is consistent with the larger genetic effect size of (1) the <i>SLC2A9</i> rs11722228 polymorphism in gout patients vs. controls, (2) the <i>ABCG2</i> rs2231142 polymorphism in men vs. women, (3) the <i>SLC2A9</i> rs13113918 polymorphism in obese patients prior to bariatric surgery vs. two-year postsurgery following 29 kg weight loss, (4) the <i>ABCG2</i> rs6855911 polymorphism in obese vs. nonobese women, and (5) the <i>LRP2</i> rs2544390 polymorphism in heavier drinkers vs. abstainers. Quantile-dependent expressivity may also explain the larger genetic effect size of an <i>SLC2A9</i>/<i>PKD2</i>/<i>ABCG2</i> haplotype for high vs. low intakes of alcohol, chicken, or processed meats.</p><p><strong>Conclusions: </strong>Heritability of serum uric acid concentrations is quantile-specific.</p>\",\"PeriodicalId\":13988,\"journal\":{\"name\":\"International Journal of Genomics\",\"volume\":\"2021 \",\"pages\":\"3889278\"},\"PeriodicalIF\":2.6000,\"publicationDate\":\"2021-09-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8448993/pdf/\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Genomics\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://doi.org/10.1155/2021/3889278\",\"RegionNum\":4,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2021/1/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q3\",\"JCRName\":\"BIOCHEMISTRY & MOLECULAR BIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Genomics","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1155/2021/3889278","RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2021/1/1 0:00:00","PubModel":"eCollection","JCR":"Q3","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
引用次数: 3

摘要

目的:当基因变异的效应大小取决于表型(如血清尿酸)相对于其分布是高还是低时,就会出现“分位数依赖性表达性”。进行分析以检验血清尿酸遗传力是否具有分位数特异性,以及这是否可以解释一些报道的基因-环境相互作用。方法:分析来自弗雷明汉心脏研究的2151对兄弟姐妹和12068对后代-父母对的血清尿酸浓度。通过对1000个bootstrap样本进行非参数显著性分位数回归,对后代-亲本回归斜率(β OP, h 2 = 2β OP/(1 + r配偶))和全同胞回归斜率(β FS, h 2 = {(1 + 8r配偶β FS)0.5 - 1}/(2r配偶))的分位数特异性遗传力进行了稳健估计。结果:分位数特异性h 2(±SE)随后代性别和年龄校正尿酸分布的增加而增加(P趋势= 0.001):第10个百分位数为0.34±0.03,第25个为0.36±0.03,第50个为0.41±0.03,第75个为0.46±0.04,第90个百分位数为0.49±0.05,β FS估计为0.46±0.04 (P趋势= 0.006)。这与(1)痛风患者与对照组的SLC2A9 rs11722228多态性,(2)男性与女性的ABCG2 rs2231142多态性,(3)肥胖患者减肥手术前与术后2年体重减轻29公斤的SLC2A9 rs13113918多态性,(4)肥胖与非肥胖女性的ABCG2 rs6855911多态性,以及(5)重度饮酒者与不饮酒者的LRP2 rs2544390多态性更大的遗传效应是一致的。分位数依赖性表达也可以解释SLC2A9/PKD2/ABCG2单倍型对酒精、鸡肉或加工肉类的高摄入量与低摄入量的遗传效应大小。结论:血清尿酸浓度的遗传力具有分位数特异性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Quantile-Dependent Expressivity of Serum Uric Acid Concentrations.

Quantile-Dependent Expressivity of Serum Uric Acid Concentrations.

Quantile-Dependent Expressivity of Serum Uric Acid Concentrations.

Quantile-Dependent Expressivity of Serum Uric Acid Concentrations.

Objective: "Quantile-dependent expressivity" occurs when the effect size of a genetic variant depends upon whether the phenotype (e.g., serum uric acid) is high or low relative to its distribution. Analyses were performed to test whether serum uric acid heritability is quantile-specific and whether this could explain some reported gene-environment interactions.

Methods: Serum uric acid concentrations were analyzed from 2151 sibships and 12,068 offspring-parent pairs from the Framingham Heart Study. Quantile-specific heritability from offspring-parent regression slopes (β OP, h 2 = 2β OP/(1 + r spouse)) and full-sib regression slopes (β FS, h 2 = {(1 + 8r spouse β FS)0.5 - 1}/(2r spouse)) was robustly estimated by quantile regression with nonparametric significance assigned from 1000 bootstrap samples.

Results: Quantile-specific h 2 (±SE) increased with increasing percentiles of the offspring's sex- and age-adjusted uric acid distribution when estimated from β OP (P trend = 0.001): 0.34 ± 0.03 at the 10th, 0.36 ± 0.03 at the 25th, 0.41 ± 0.03 at the 50th, 0.46 ± 0.04 at the 75th, and 0.49 ± 0.05 at the 90th percentile and when estimated from β FS (P trend = 0.006). This is consistent with the larger genetic effect size of (1) the SLC2A9 rs11722228 polymorphism in gout patients vs. controls, (2) the ABCG2 rs2231142 polymorphism in men vs. women, (3) the SLC2A9 rs13113918 polymorphism in obese patients prior to bariatric surgery vs. two-year postsurgery following 29 kg weight loss, (4) the ABCG2 rs6855911 polymorphism in obese vs. nonobese women, and (5) the LRP2 rs2544390 polymorphism in heavier drinkers vs. abstainers. Quantile-dependent expressivity may also explain the larger genetic effect size of an SLC2A9/PKD2/ABCG2 haplotype for high vs. low intakes of alcohol, chicken, or processed meats.

Conclusions: Heritability of serum uric acid concentrations is quantile-specific.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
International Journal of Genomics
International Journal of Genomics BIOCHEMISTRY & MOLECULAR BIOLOGY-BIOTECHNOLOGY & APPLIED MICROBIOLOGY
CiteScore
5.40
自引率
0.00%
发文量
33
审稿时长
17 weeks
期刊介绍: International Journal of Genomics is a peer-reviewed, Open Access journal that publishes research articles as well as review articles in all areas of genome-scale analysis. Topics covered by the journal include, but are not limited to: bioinformatics, clinical genomics, disease genomics, epigenomics, evolutionary genomics, functional genomics, genome engineering, and synthetic genomics.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信