The contamination levels of organochlorines and the pattern of gene expressions in human umbilical cords from intra-pairs of twins at delivery

Omori-Inoue, Mariko; Fukata, Hideki; Komiyama, Masatoshi; Todaka, Emiko; Osada, Hiroyuki; Aburatani, Hiroyuki; Mori, Chisato

doi:10.1016/j.reprotox.2006.10.005

Cited by 3 publications

(2 citation statements)

References 42 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Moreover, in these four pairs the within-pair correlation in expression in the MZ pairs was higher than that in the DZ pairs. Omori-Inoue et al (2007) performed hierarchical clustering based on correlations between gene expression profiles in umbilical cords from five twin pairs, and found that in four-probably MZpairs the co-twins clustered adjacently, whereas the non-adjacently clustering co-twins (the fifth pair) might have been DZ. In the result of hierarchical clustering on basis of 102 genes differentially expressed in skin fibroblasts from study participants with systemic sclerosis compared to controls, two MZ twin pairs were observed of which the co-twins-who were discordant for the disease-clustered adjacently (Zhou et al, 2005).…”

Section: Discussionmentioning

confidence: 99%

Similarities and Differences in Lipidomics Profiles among Healthy Monozygotic Twin Pairs

Draisma

Reijmers

Bobeldijk-Pastorova

et al. 2008

OMICS: A Journal of Integrative Biology

View full text Add to dashboard Cite

Differences in genetic background and/or environmental exposure among individuals are expected to give rise to differences in measurable characteristics, or phenotypes. Consequently, genetic resemblance and similarities in environment should manifest as similarities in phenotypes. The metabolome reflects many of the system properties, and is therefore an important part of the phenotype. Nevertheless, it has not yet been examined to what extent individuals sharing part of their genome and/or environment indeed have similar metabolomes. Here we present the results of hierarchical clustering of blood plasma lipid profile data obtained by liquid chromatography-mass spectrometry from 23 healthy, 18-year-old twin pairs, of which 21 pairs were monozygotic, and 8 of their siblings. For 13 monozygotic twin pairs, within-pair similarities in relative concentrations of the detected lipids were indeed larger than the similarities with any other study participant. We demonstrate such high coclustering to be unexpected on basis of chance. The similarities between dizygotic twins and between nontwin siblings, as well as between nonfamilial participants, were less pronounced. In a number of twin pairs, within-pair dissimilarity of lipid profiles positively correlated with increased blood plasma concentrations of C-reactive protein in one twin. In conclusion, this study demonstrates that in healthy individuals, the individual genetic background contributes to the blood plasma lipid profile. Furthermore, lipid profiling may prove useful in monitoring health status, for example, in the context of personalized medicine.

show abstract

Section: Discussionmentioning

confidence: 99%

Similarities and Differences in Lipidomics Profiles among Healthy Monozygotic Twin Pairs

Draisma

Reijmers

Bobeldijk-Pastorova

et al. 2008

OMICS: A Journal of Integrative Biology

View full text Add to dashboard Cite

show abstract

“…Clustering of family members was characterized by counting for each pair of same-sex relatives the number of separating nodes or branching points in the dendrogram 26,27 (see Supplementary Figure S1 for an example of this 'node analysis'). This number of separating nodes is representative of the relative proximity of individuals according to their lipid profiles, and hence acknowledges that the same Euclidean distance may have a different interpretation in sparsely and densely populated areas of the total multivariate space put up by the lipid profiles of all study participants.…”

Section: Hierarchical Clustering Analysismentioning

confidence: 99%

Hierarchical clustering analysis of blood plasma lipidomics profiles from mono- and dizygotic twin families

et al. 2012

View full text Add to dashboard Cite

Twin and family studies are typically used to elucidate the relative contribution of genetic and environmental variation to phenotypic variation. Here, we apply a quantitative genetic method based on hierarchical clustering, to blood plasma lipidomics data obtained in a healthy cohort consisting of 37 monozygotic and 28 dizygotic twin pairs, and 52 of their biological nontwin siblings. Such data are informative of the concentrations of a wide range of lipids in the studied blood samples. An important advantage of hierarchical clustering is that it can be applied to a high-dimensional 'omics' type data, whereas the use of many other quantitative genetic methods for analysis of such data is hampered by the large number of correlated variables. For this study we combined two lipidomics data sets, originating from two different measurement blocks, which we corrected for block effects by 'quantile equating'. In the analysis of the combined data, average similarities of lipidomics profiles were highest between monozygotic (MZ) cotwins, and became progressively lower between dizygotic (DZ) cotwins, among sex-matched nontwin siblings and among sex-matched unrelated participants, respectively. Our results suggest that (1) shared genetic background, shared environment, and similar age contribute to similarities in blood plasma lipidomics profiles among individuals; and (2) that the power of quantitative genetic analyses is enhanced by quantile equating and combination of data sets obtained in different measurement blocks.

show abstract

Comparison of the blood levels of PCBs between fetuses and infants with longer lactational period in Japan

Mori

Fukata

2009

Toxicology Letters

View full text Add to dashboard Cite

The contamination levels of organochlorines and the pattern of gene expressions in human umbilical cords from intra-pairs of twins at delivery

Cited by 3 publications

References 42 publications

Similarities and Differences in Lipidomics Profiles among Healthy Monozygotic Twin Pairs

Similarities and Differences in Lipidomics Profiles among Healthy Monozygotic Twin Pairs

Hierarchical clustering analysis of blood plasma lipidomics profiles from mono- and dizygotic twin families

Comparison of the blood levels of PCBs between fetuses and infants with longer lactational period in Japan

Contact Info

Product

Resources

About