Identity-by-Descent Mapping Identifies Major Locus for Serum Triglycerides in Amerindians Largely Explained by an APOC3 Founder Mutation.

Wen-Chi Hsueh, Anup K Nair, Sayuko Kobes, Peng Chen, Harald H H Göring, Toni I Pollin, Alka Malhotra, William C Knowler, Leslie J Baier, Robert L Hanson
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引用次数: 18

Abstract

Background: Identity-by-descent mapping using empirical estimates of identity-by-descent allele sharing may be useful for studies of complex traits in founder populations, where hidden relationships may augment the inherent genetic information that can be used for localization.

Methods and results: Through identity-by-descent mapping, using ≈400 000 single-nucleotide polymorphisms (SNPs), of serum lipid profiles, we identified a major linkage signal for triglycerides in 1007 Pima Indians (LOD=9.23; P=3.5×10-11 on chromosome 11q). In subsequent fine-mapping and replication association studies in ≈7500 Amerindians, we determined that this signal reflects effects of a loss-of-function Ala43Thr substitution in APOC3 (rs147210663) and 3 established functional SNPs in APOA5. The association with rs147210663 was particularly strong; each copy of the Thr allele conferred 42% lower triglycerides (β=-0.92±0.059 SD unit; P=9.6×10-55 in 4668 Pimas and 2793 Southwest Amerindians combined). The Thr allele is extremely rare in most global populations but has a frequency of 2.5% in Pimas. We further demonstrated that 3 APOA5 SNPs with established functional impact could explain the association with the most well-replicated SNP (rs964184) for triglycerides identified by genome-wide association studies. Collectively, these 4 SNPs account for 6.9% of variation in triglycerides in Pimas (and 4.1% in Southwest Amerindians), and their inclusion in the original linkage model reduced the linkage signal to virtually null.

Conclusions: APOC3/APOA5 constitutes a major locus for serum triglycerides in Amerindians, especially the Pimas, and these results provide an empirical example for the concept that population-based linkage analysis is a useful strategy to identify complex trait variants.

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血统身份图谱确定了美洲印第安人血清甘油三酯的主要位点,主要由APOC3创始突变解释。
背景:利用遗传身份等位基因共享的经验估计进行遗传身份映射,可能有助于研究创始人群体的复杂性状,其中隐藏的关系可能会增加可用于定位的固有遗传信息。方法和结果:通过使用约40万个血脂单核苷酸多态性(SNPs)进行血统鉴定,我们确定了1007名皮马印第安人(LOD=9.23;11q染色体P=3.5×10-11)。在随后对约7500名美洲印第安人的精细定位和复制关联研究中,我们确定该信号反映了APOC3 (rs147210663)中功能缺失的Ala43Thr替代和APOA5中3个已建立的功能snp的影响。与rs147210663的关联尤为强烈;Thr等位基因的每个拷贝使甘油三酯降低42% (β=-0.92±0.059 SD单位;P=9.6×10-55在4668皮马人和2793西南美洲印第安人的总和)。Thr等位基因在全球大多数人群中极为罕见,但在皮马人中的频率为2.5%。我们进一步证明,具有确定功能影响的3个APOA5 SNP可以解释与全基因组关联研究中鉴定的甘油三酯复制最多的SNP (rs964184)的关联。总的来说,这4个snp占了皮马人甘油三酯变异的6.9%(西南美洲印第安人的4.1%),将它们纳入原始的连锁模型使连锁信号几乎为零。结论:APOC3/APOA5是美洲印第安人(尤其是Pimas)血清甘油三酯的主要基因座,这些结果为基于人群的连锁分析是识别复杂性状变异的有效策略这一概念提供了实证例子。
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Circulation: Cardiovascular Genetics
Circulation: Cardiovascular Genetics CARDIAC & CARDIOVASCULAR SYSTEMS-GENETICS & HEREDITY
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审稿时长
6-12 weeks
期刊介绍: Circulation: Genomic and Precision Medicine considers all types of original research articles, including studies conducted in human subjects, laboratory animals, in vitro, and in silico. Articles may include investigations of: clinical genetics as applied to the diagnosis and management of monogenic or oligogenic cardiovascular disorders; the molecular basis of complex cardiovascular disorders, including genome-wide association studies, exome and genome sequencing-based association studies, coding variant association studies, genetic linkage studies, epigenomics, transcriptomics, proteomics, metabolomics, and metagenomics; integration of electronic health record data or patient-generated data with any of the aforementioned approaches, including phenome-wide association studies, or with environmental or lifestyle factors; pharmacogenomics; regulation of gene expression; gene therapy and therapeutic genomic editing; systems biology approaches to the diagnosis and management of cardiovascular disorders; novel methods to perform any of the aforementioned studies; and novel applications of precision medicine. Above all, we seek studies with relevance to human cardiovascular biology and disease.
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