Glycans and age dealing with non linear correlations lucija klari genos ltd
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Glycans and age Dealing with non-linear correlations Lucija Klari ć Genos Ltd. Lucija Klari ć. Relationship between age and glycans. Local correction for age and sex. linear age/sex correction vs local age/sex correction

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Glycans and age Dealing with non-linear correlations Lucija Klari ć Genos Ltd.

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Glycans and age dealing with non linear correlations lucija klari genos ltd

Glycans and ageDealing with non-linear correlationsLucijaKlarićGenos Ltd.

LucijaKlarić


Relationship between age and glycans

Relationship between age and glycans


Local correction for age and sex

Local correction for age and sex

  • linear age/sex correction vs local age/sex correction

  • local age/sex correction – general additive models with smooth function (R package: mgcv)


Local correction for age and sex1

Local correction for age and sex

Residuals after age and sex correction in Korcula cohort


Local correction for age and sex2

Local correction for age and sex

Residuals after age and sex correction in Korcula cohort


Materials and methods

Materials and methods

  • 2 cohorts:

    • Korcula

      • 851 individuals

      • 316751 SNPs (typed)

      • 77 glycans (UPLC)

    • Vis

      • 808 individuals

      • 308996 SNPs (typed)

      • 77 glycans (UPLC)

  • GWAS – GenABEL package for R

  • Meta analysis – MetABEL package for R


Comparison gwas korcula linear vs local correction

Comparison GWAS Korcula: Linear vs Local Correction


Comparison meta analysis linear vs local correction

Comparison Meta analysis: Linear vs Local Correction


Concluding remarks

Concluding remarks

  • Most p-values are lower in linear correction than local correction for age

  • Linear age correction outperformes local age correction

    • possible reason: local correction corrects better only few people (~50 people from 40-50 years of age)

  • Associations of SNPs and glycans are quite robust

  • Residuals of local correction for age and sex are not related to age


Glycans and age dealing with non linear correlations lucija klari genos ltd

Monogalactosylated IgG glycans in aging

  • β4GalT-I (Beta-1,4-galactosyltransferase 1) 

  • adds galactose to GlcNAc residues

  • interacts preferentially with 1,6-arm

FA2[6]G1

FA2[3]G1

FA2B[6]G1

FA2B[3]G1


Glycans and age dealing with non linear correlations lucija klari genos ltd

Monogalactosylated IgG glycans in aging

Monogalactosylated structures with Gal on 1,6 arm decrease with age.

Monogalactosylated structures with bisecting GlcNAc with Gal on 1,3 or 1,6 arm increase

with age.


Glycans and age dealing with non linear correlations lucija klari genos ltd

Monogalactosylated IgG glycans in aging

Monogalactosylated structures with Gal on 1,6 arm decrease with age.

Monogalactosylated structures with bisecting GlcNAc with Gal on 1,3 or 1,6 arm increase with age.

Table 1. Associations of glycans with age (UPLC)


Glycans and age dealing with non linear correlations lucija klari genos ltd

Monogalactosylated IgG glycans in aging

Table 2. Correlation of age and glycans measured by different methods in Vis population (500 subjects).


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