4.0 Article

Heritability and GWAS Studies for Monocyte-Lymphocyte Ratio

Journal

TWIN RESEARCH AND HUMAN GENETICS
Volume 20, Issue 2, Pages 97-107

Publisher

CAMBRIDGE UNIV PRESS
DOI: 10.1017/thg.2017.3

Keywords

heritability; MLR; GWAS; age and sex differences; lifestyle

Funding

  1. China Scholarship Council [201206180099]
  2. Netherlands Organization for Scientific Research [NWO: 016-115035, 463-06-001, 451- 04-034]
  3. ZonMW [31160008, 911-09-032]
  4. Institute for Health and Care Research (EMGO+)
  5. Neuroscience Campus Amsterdam (NCA)
  6. Biomolecular Resources Research Infrastructure (BBMRI-NL) [184.021.007]
  7. European Research Council [ERC-230374]
  8. Biobanking and Biomolecular Resources Research Infrastructure [BBMRINL: 184.021.007]
  9. NWO/SPI [56-464-14192]
  10. Genetic Association Information Network (GAIN) of the Foundation for the National Institutes of Health
  11. Rutgers University Cell and DNA Repository [NIMH U24 MH068457-06]
  12. Avera Institute, Sioux Falls (USA)
  13. National Institutes of Health [NIH R01 HD042157-01A1, MH081802, 1RC2 MH089951, 1RC2 MH089995]

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The monocyte-lymphocyte ratio (MLR) is a useful biomarker for disease development, but little is known about the extent to which genetic and environmental factors influence MLR variation. Here, we study the genetic architecture of MLR and determine the influence of demographic and lifestyle factors on MLR in data from a Dutch non-patient twin-family population. Data were obtained in 9,501 individuals from the Netherlands Twin Register. We used regression analyses to determine the effects of age, sex, smoking, and body mass index (BMI) on MLR and its subcomponents. Data on twins, siblings and parents (N = 7,513) were analyzed by genetic structural equation modeling to establish heritability and genome wide single nucleotide polymorphism (SNP) data from a genotyped subsample (N = 5,892) and used to estimate heritability explained by SNPs. SNP and phenotype data were also analyzed in a genome-wide association study to identify the genes involved in MLR. Linkage disequilibrium (LD) score regression and expression quantitative trait loci (eQTL) analyses were performed to further explore the genetic findings. Results showed that age, sex, and age x sex interaction effects were present for MLR and its subcomponents. Variation in MLR was not related to BMI, but smoking was positively associated with MLR. Heritability was estimated at 40% for MLR, 58% for monocyte, and 58% for lymphocyte count. The Genome-wide association study (GWAS) identified a locus on ITGA4 that was associated with MLR and only marginally significantly associated with monocyte count. For monocyte count, additional genetic variants were identified on ITPR3, LPAP1, and IRF8. For lymphocyte count, GWAS provided no significant findings. Taking all measured SNPs together, their effects accounted for 13% of the heritability of MLR, while all known and identified genetic loci explained 1.3% of variation in MLR. eQTL analyses showed that these genetic variants were unlikely to be eQTLs. In conclusion, variation in MLR level in the general population is heritable and influenced by age, sex, and smoking. We identified gene variants in the ITGA4 gene associated with variation in MLR. The significant SNP-heritability indicates that more genetic variants are likely to be involved.

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