Identification of genetic variants for blood insulin level in sex-stratified Korean population and evaluation of the causal relationship between blood insulin level and polycystic ovary syndrome

• Published in: Genes & genomics Vol. 43; no. 10; pp. 1105 - 1117
• Main Authors: Lim, Woo Young, Lee, Hyejin, Cho, Yoon Shin
• Format: Journal Article
• Language: English
• Published: Singapore Springer Singapore 01.10.2021; Springer Nature B.V; 한국유전학회
• Subjects: Adult; Animal Genetics and Genomics; Biomedical and Life Sciences; Blood; Female; Females; Genetic diversity; Genetic factors; Genome-wide association studies; Genome-Wide Association Study; Genomes; genomics; hospitals; Human Genetics; Humans; Insulin; Insulin - blood; Insulin - genetics; Life Sciences; Male; Mendelian Randomization Analysis; Microbial Genetics and Genomics; Middle Aged; Ovaries; Plant Genetics and Genomics; Polycystic ovary syndrome; Polycystic Ovary Syndrome - blood; Polycystic Ovary Syndrome - genetics; Population studies; regression analysis; Republic of Korea; Research Article; Risk factors; Sex; Single-nucleotide polymorphism; 생물학; Republic of Korea; Genome-wide association study (GWAS); Polycystic ovary syndrome; Causal relationship; Association; Mendelian randomization (MR); Genetic variant; Blood insulin level
• ISSN: 1976-9571; 2092-9293; 2092-9293
• DOI: 10.1007/s13258-021-01134-8

Background Blood insulin level is an important risk factor for numerous disorders. Individual blood insulin level is known to be substantially influenced by genetic factors. Several genetic association studies identified a number of genetic variants for blood insulin level, but none of them was from a sex-stratified population. Objective This study aimed to identify male- and female-specific genetic variants related to blood insulin level and to evaluate the causal relationship between blood insulin level and polycystic ovary syndrome (PCOS) that is likely caused by high insulin in Korean women. Methods A genome-wide association study was conducted to identify genetic variants influencing blood insulin level in males (N = 4183) and females (N = 4659) in the Korean population. Two-sample Mendelian randomization (MR) analysis was used to investigate the causal effects of the insulin variants identified from GWAS on PCOS in Korean women. Genetic association data for PCOS were obtained from a PCOS study cohort (946 cases, 976 controls) in Ewha Womans University Hospital. Results GWAS linear regression analysis identified 13 female-specific SNPs and 13 male-specific SNPs showing suggestive associations (P < 10 −5 ) with blood insulin level. The results from two-sample MR analysis using the GWAS variants for PCOS indicated that genetically determined insulin level was not associated with the risk of PCOS in Korean women. Conclusion This study identified sex-specific genetic variants showing associations with insulin for the first time in East Asian populations. In addition, MR analysis using variants discovered from Korean women revealed that genetically determined high level of insulin is not the cause of PCOS.