Dissect the genetic basis of fat depots quantified from the whole-body MRI data of 38,965 individuals
编号:18 访问权限:仅限参会人 更新:2022-06-28 16:48:12 浏览:372次 口头报告

报告开始:2022年07月24日 17:20(Asia/Shanghai)

报告时间:15min

所在会场:[S5] 分会场5 [S5-2] 精准医学与单细胞测序

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摘要
For any given level of overall adiposity – as quantified in clinical practice by body mass index (BMI)– individuals vary considerably in fat distribution. Increased visceral adipose tissue (VAT) is associated with increased cardiometabolic risk, while gluteofemoral adipose tissue (GFAT) may be protective. Monogenic familial partial lipodystrophy (FPLD) – often caused by rare variants in LMNA – is an extreme example of this paradigm, often characterized by reduced GFAT with maintained or increased VAT in association with insulin resistance and an adverse metabolic profile. In contrast, the inherited basis of fat distribution in the broader population is not fully understood. To build on prior genetic studies with anthropometric surrogates, we studied up to 38,965 UK Biobank participants with VAT, abdominal subcutaneous (ASAT), and GFAT volumes precisely quantified using MRI imaging. Because genetic associations with these raw fat depot volumes were largely driven by variants known to affect BMI, we next studied six measures of local adiposity: VAT adjusted for BMI and height (VATadj), ASATadj, GFATadj, VAT/ASAT, VAT/GFAT, and ASAT/GFAT. We identify 250 loci associated with at least one adiposity trait, including 39 newly-identified loci. Rare variant association studies extend prior evidence for PDE3B as an important modulator of fat distribution. Sex-specific analyses of local adiposity measures noted overall higher estimated heritability in female participants, increased effect sizes for identified loci, and 26 female-specific associations. Individuals in the extreme tails of VATadj, ASATadj, and GFATadj were highly enriched for predisposing common variants, as quantified using polygenic scores. Taking GFATadj as an example, individuals with GFATadj in the top 5% were 3.8-fold (95%CI 2.8 to 5.2) more likely to have a polygenic score within the top 5% of the distribution. A VATadj polygenic score was associated with a metabolically unhealthy profile, while a GFATadj score was associated with a metabolically healthy profile. These results – using MRI-derived, BMI-independent measures of local adiposity – confirm fat distribution as a highly heritable trait with important implications for cardiometabolic health outcomes.
关键词
Fat Depots,GWAS,Rare Variant Association Study,Polygenic Score
报告人
汪敏先
中国科学院北京基因组研究所(国家生物信息中心)

稿件作者
汪敏先 中国科学院北京基因组研究所(国家生物信息中心)
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重要日期
  • 会议日期

    07月22日

    2022

    07月25日

    2022

  • 06月15日 2022

    初稿截稿日期

  • 07月05日 2022

    提前注册日期

  • 08月01日 2022

    注册截止日期

主办单位
中国生物工程学会计算生物学与生物信息学专业委员会
中山大学中山眼科中心
中山大学医学院
南方医科大学
承办单位
中山大学中山眼科中心
中山大学医学院
南方医科大学
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