Using a multivariate model to assess the interactive effects of demographics and lifestyle on the hematological profile

Daniel B McArtor, Bochao D Lin, Jouke-Jan Hottenga, Dorret I Boomsma, Gonneke Willemsen, Gitta H Lubke

Research output: Contribution to JournalArticleAcademicpeer-review


AIM: To assess the extent to which a multivariate approach to modeling interrelated hematological indices provides more informative results than the traditional approach of modeling each index separately.

MATERIALS & METHODS: The effects of demographics and lifestyle on ten hematological indices collected from a Dutch population-based sample (n = 3278) were studied, jointly using multivariate distance matrix regression and separately using linear regression.

RESULTS: The multivariate approach highlighted the main effects of all predictors and several interactions; the traditional approach highlighted only main effects.

CONCLUSION: The multivariate approach provides more power than traditional methods to detect effects on interrelated biomarkers, suggesting that its use in future research may help identify subgroups that benefit from different treatment or prevention measures.

Original languageEnglish
Pages (from-to)427-438
Number of pages12
JournalBiomarkers in medicine
Issue number6
Publication statusPublished - May 2017


This work was supported by: genotype/phenotype database for genetic studies (ZonMW Middelgroot [911-09-032]); Database Twin register (NWO 575-25-006); Twin family database for behavior genetics and genomics studies (NWO 480-04-004); genome-wide analyses of European twin and population cohorts (EU/QLRT-2001-01254); a collaborative study of the genetics of DZ twinning (NIH R01 HD042157-01A1); EMGO+ Institute for Health and Care Research, Neuroscience Campus Amsterdam, Center for Medical Systems Biology (CMSB), Biobanking and Biomolecular Resources Research Infrastructure (BBMRI-NL) 184.021.007; GENOMEUTWIN/EU (QLG2- CT-2002-01254); NIH (NIHHEALTHF4-2007-201413); European Research Council (230374-GMI). B Lin received a PhD grant (201206180099) from the China Scholarship Council. G Lubke is supported by NIDA R37 DA-018673. The authors have no other relevant affiliations or financial involvement with any organization or entity with a financial interest in or financial conflict with the subject matter or materials discussed in the manuscript apart from those disclosed.

FundersFunder number
BBMRI-NLQLG2- CT-2002-01254, NIHHEALTHF4-2007-201413, 184.021.007
Biobanking and Biomolecular Resources Research Infrastructure
Institute for Health and Care Research
ZonMW MiddelgrootEU/QLRT-2001-01254, 575-25-006, NWO 480-04-004, 911-09-032, R01 HD042157-01A1
National Institute on Drug AbuseR37 DA-018673
European Research Council230374-GMI, 201206180099
China Scholarship Council


    • Journal Article

    Cohort Studies

    • Netherlands Twin Register (NTR)


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