Suppr超能文献

一项关于苦味和甜味饮料消费的全基因组关联研究。

A genome-wide association study of bitter and sweet beverage consumption.

机构信息

Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.

Division of Preventive Medicine, Brigham and Women's Hospital, Boston, MA, USA.

出版信息

Hum Mol Genet. 2019 Jul 15;28(14):2449-2457. doi: 10.1093/hmg/ddz061.

Abstract

Except for drinking water, most beverages taste bitter or sweet. Taste perception and preferences are heritable and determinants of beverage choice and consumption. Consumption of several bitter- and sweet-tasting beverages has been implicated in development of major chronic diseases. We performed a genome-wide association study (GWAS) of self-reported bitter and sweet beverage consumption among ~370 000 participants of European ancestry, using a two-staged analysis design. Bitter beverages included coffee, tea, grapefruit juice, red wine, liquor and beer. Sweet beverages included artificially and sugar sweetened beverages (SSBs) and non-grapefruit juices. Five loci associated with total bitter beverage consumption were replicated (in/near GCKR, ABCG2, AHR, POR and CYP1A1/2). No locus was replicated for total sweet beverage consumption. Sub-phenotype analyses targeting the alcohol, caffeine and sweetener components of beverages yielded additional loci: (i) four loci for bitter alcoholic beverages (GCKR, KLB, ADH1B and AGBL2); (ii) five loci for bitter non-alcoholic beverages (ANXA9, AHR, POR, CYP1A1/2 and CSDC2); (iii) 10 loci for coffee; six novel loci (SEC16B, TMEM18, OR8U8, AKAP6, MC4R and SPECC1L-ADORA2A); (iv) FTO for SSBs. Of these 17 replicated loci, 12 have been associated with total alcohol consumption, coffee consumption, plasma caffeine metabolites or BMI in previous GWAS; none was involved in known sweet and bitter taste transduction pathways. Our study suggests that genetic variants related to alcohol consumption, coffee consumption and obesity were primary genetic determinants of bitter and sweet beverage consumption. Whether genetic variants related to taste perception are associated with beverage consumption remains to be determined.

摘要

除了饮用水,大多数饮料都有苦味或甜味。味觉感知和偏好是可遗传的,决定了饮料的选择和消费。几种苦和甜饮料的消费与主要慢性疾病的发展有关。我们对欧洲血统的~370000 名参与者进行了自我报告的苦和甜饮料消费的全基因组关联研究(GWAS),使用两阶段分析设计。苦味饮料包括咖啡、茶、葡萄柚汁、红酒、白酒和啤酒。甜味饮料包括人工和含糖甜味饮料(SSB)和非葡萄柚汁。与总苦味饮料消费相关的 5 个位点得到了复制(在/附近 GCKR、ABCG2、AHR、POR 和 CYP1A1/2)。没有一个位点与总甜味饮料消费相关。针对饮料的酒精、咖啡因和甜味剂成分的亚表型分析产生了额外的位点:(i)苦味酒精饮料的四个位点(GCKR、KLB、ADH1B 和 AGBL2);(ii)苦味非酒精饮料的五个位点(ANXA9、AHR、POR、CYP1A1/2 和 CSDC2);(iii)咖啡的 10 个位点;六个新的位点(SEC16B、TMEM18、OR8U8、AKAP6、MC4R 和 SPECC1L-ADORA2A);(iv)FTO 与 SSB 相关。在这 17 个复制的位点中,有 12 个与总酒精消耗、咖啡消耗、血浆咖啡因代谢物或之前的 GWAS 中的 BMI 有关;没有一个与已知的甜和苦味觉转导途径有关。我们的研究表明,与酒精消耗、咖啡消耗和肥胖有关的遗传变异是苦味和甜味饮料消耗的主要遗传决定因素。与味觉感知有关的遗传变异是否与饮料消耗有关还有待确定。

相似文献

1
A genome-wide association study of bitter and sweet beverage consumption.
Hum Mol Genet. 2019 Jul 15;28(14):2449-2457. doi: 10.1093/hmg/ddz061.
3
Genetic determinants of liking and intake of coffee and other bitter foods and beverages.
Sci Rep. 2021 Dec 13;11(1):23845. doi: 10.1038/s41598-021-03153-7.
7
Non-alcoholic beverage consumption among US adults who consume alcohol.
Addiction. 2024 Jun;119(6):1080-1089. doi: 10.1111/add.16452. Epub 2024 Feb 25.
8
Patterns of beverage purchases amongst British households: A latent class analysis.
PLoS Med. 2020 Sep 8;17(9):e1003245. doi: 10.1371/journal.pmed.1003245. eCollection 2020 Sep.
9
Identification and Functional Assessment of Candidate Causal -Regulatory Variants Underlying Electrocardiographic QT Interval GWAS Loci.
Circ Genom Precis Med. 2025 Jun;18(3):e005032. doi: 10.1161/CIRCGEN.124.005032. Epub 2025 May 27.
10
Genetic Vulnerability to Menthol Cigarette Preference in Women.
Nicotine Tob Res. 2015 Dec;17(12):1416-20. doi: 10.1093/ntr/ntv042. Epub 2015 Apr 1.

引用本文的文献

2
Identification of SEC16B as a novel regulator of glucose homeostasis.
Diabetologia. 2025 Jul 24. doi: 10.1007/s00125-025-06501-8.
6
MAM Domain Containing 2 (MAMDC2) Affects Invasion and Metastasis of Human Gastric Cancer.
Onco Targets Ther. 2025 May 26;18:679-693. doi: 10.2147/OTT.S516982. eCollection 2025.

本文引用的文献

2
The UK Biobank resource with deep phenotyping and genomic data.
Nature. 2018 Oct;562(7726):203-209. doi: 10.1038/s41586-018-0579-z. Epub 2018 Oct 10.
4
Mixed-model association for biobank-scale datasets.
Nat Genet. 2018 Jul;50(7):906-908. doi: 10.1038/s41588-018-0144-6.
7
Functional mapping and annotation of genetic associations with FUMA.
Nat Commun. 2017 Nov 28;8(1):1826. doi: 10.1038/s41467-017-01261-5.
10
Genome-wide association study identifies 112 new loci for body mass index in the Japanese population.
Nat Genet. 2017 Oct;49(10):1458-1467. doi: 10.1038/ng.3951. Epub 2017 Sep 11.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验