Dataset Information

Ethnic differences in brain-derived neurotrophic factor Val66Met polymorphism in Croatian and Korean healthy participants.

ABSTRACT: AIM:To compare the frequency of alleles and genotypes in brain-derived neurotrophic factor (BDNF) val66met polymorphism in ethnically homogenous Caucasian (from Croatia) and ethnically homogenous Asian (from South Korea) healthy participants, as inter-population differences in BDNF val66met may be responsible for the divergent findings in genetic and association studies. METHODS:BDNF val66met was genotyped in 800 (556 Croatian and 244 Korean) healthy participants. Frequencies of alleles and genotypes were evaluated using a chi(2) test. RESULTS:The frequencies for genotypes (chi(2)2=114.69; P<0.001) and alleles (chi(2)1=120.07; P<0.001) between Korean and Croatian individuals differed significantly, due to significantly lower (46.3% and 19.5%, P<0.001) frequency of "Met" allele and significantly higher (53.7% and 80.5%, P<0.001) frequency of "Val" allele in Croatian than in Korean participants. CONCLUSION:The study found significant ethnic differences in BDNF val66met polymorphism. The most frequent genotype among Korean participants was "Met/Val" and they had similar distribution of "Met" and "Val" alleles. In contrast, the most frequent genotype among Caucasian participants was "Val/Val" and they had different distribution of "Met" and "Val" alleles. These ethnic differences require matching participants for ethnicity in pharmacogenetic studies and in the studies investigating genetic variations in neuropsychiatric disorders.

SUBMITTER: Pivac N

PROVIDER: S-EPMC2657559 | biostudies-literature | 2009 Feb

REPOSITORIES: biostudies-literature

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Ethnic differences in brain-derived neurotrophic factor Val66Met polymorphism in Croatian and Korean healthy participants.

Pivac Nela N Kim Byungsu B Nedić Gordana G Joo Yeon Ho YH Kozarić-Kovacić Dragica D Hong Jin Pyo JP Muck-Seler Dorotea D

Croatian medical journal 20090201 1

<h4>Aim</h4>To compare the frequency of alleles and genotypes in brain-derived neurotrophic factor (BDNF) val66met polymorphism in ethnically homogenous Caucasian (from Croatia) and ethnically homogenous Asian (from South Korea) healthy participants, as inter-population differences in BDNF val66met may be responsible for the divergent findings in genetic and association studies.<h4>Methods</h4>BDNF val66met was genotyped in 800 (556 Croatian and 244 Korean) healthy participants. Frequencies of a ...[more]

PMID: 19260143

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Project description:BackgroundAlthough structural correlation network (SCN) analysis is an approach to evaluate brain networks, the neurobiological interpretation of SCNs is still problematic. Brain-derived neurotrophic factor (BDNF) is well-established as a representative protein related to neuronal differentiation, maturation, and survival. Since a valine-to-methionine substitution at codon 66 of the BDNF gene (BDNF Val66Met single nucleotide polymorphism (SNP)) is well-known to have effects on brain structure and function, we hypothesized that SCNs are affected by the BDNF Val66Met SNP. To gain insight into SCN analysis, we investigated potential differences between BDNF valine (Val) homozygotes and methionine (Met) carriers in the organization of their SCNs derived from inter-regional cortical thickness correlations.MethodsForty-nine healthy adult subjects (mean age = 41.1 years old) were divided into two groups according to their genotype (n: Val homozygotes = 16, Met carriers = 33). We obtained regional cortical thickness from their brain T1 weighted images. Based on the inter-regional cortical thickness correlations, we generated SCNs and used graph theoretical measures to assess differences between the two groups in terms of network integration, segregation, and modularity.ResultsThe average local efficiency, a measure of network segregation, of BDNF Met carriers' network was significantly higher than that of the Val homozygotes' (permutation p-value = 0.002). Average shortest path lengths (a measure of integration), average local clustering coefficient (another measure of network segregation), small-worldness (a balance between integration and segregation), and modularity (a representative measure for modular architecture) were not significantly different between group (permutation p-values ? 0.01).Discussion and conclusionOur results suggest that the BDNF Val66Met polymorphism may potentially influence the pattern of brain regional morphometric (cortical thickness) correlations. Comparing networks derived from inter-regional cortical thickness correlations, Met carrier SCNs have denser connections with neighbors and are more distant from random networks than Val homozygote networks. Thus, it may be necessary to consider potential effects of BDNF gene mutations in SCN analyses. This is the first study to demonstrate a difference between Val homozygotes and Met carriers in brain SCNs.

Dataset Information

Ethnic differences in brain-derived neurotrophic factor Val66Met polymorphism in Croatian and Korean healthy participants.

Publications

Ethnic differences in brain-derived neurotrophic factor Val66Met polymorphism in Croatian and Korean healthy participants.

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