4.7 Article

Key genetic variants associated with variation of milk oligosaccharides from diverse human populations

期刊

GENOMICS
卷 113, 期 4, 页码 1867-1875

出版社

ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.ygeno.2021.04.004

关键词

Human milk; Oligosaccharides; GWAS; FUT2; FUT3

资金

  1. National Science Foundation [DBI0939454, 1344288, 1917476]
  2. Washington State University Office of Research grand challenges nutritional genomics initiative
  3. USDA National Institute of Food and Agriculture [IDA01643, IDA01566]
  4. Division Of Integrative Organismal Systems
  5. Direct For Biological Sciences [1917476, 1344288] Funding Source: National Science Foundation

向作者/读者索取更多资源

Human milk oligosaccharides (HMO), the third most abundant component of human milk, are believed to be crucial for infant health. This study conducted genome-wide association analyses on 395 women from 8 countries to identify genetic regions associated with different types of HMO, and found FUT2 to be the most significantly associated gene. Additionally, evidence of balancing selection for FUT2 was observed.
Human milk oligosaccharides (HMO), the third most abundant component of human milk, are thought to be important contributors to infant health. Studies have provided evidence that geography, stage of lactation, and Lewis and secretor blood groups are associated with HMO profile. However, little is known about how variation across the genome may influence HMO composition among women in various populations. In this study, we performed genome-wide association analyses of 395 women from 8 countries to identify genetic regions associated with 19 different HMO. Our data support FUT2 as the most significantly associated (P < 4.23(-9) to P < 4.5(-70)) gene with seven HMO and provide evidence of balancing selection for FUT2. Although polymorphisms in FUT3 were also associated with variation in lacto-N-fucopentaose II and difucosyllacto-N-tetrose, we found little evidence of selection on FUT3. To our knowledge, this is the first report of the use of genome-wide association analyses on HMO.

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