Displaying publications 41 - 60 of 273 in total

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  1. Yang Y, Wu L, Shu X, Lu Y, Shu XO, Cai Q, et al.
    Cancer Res, 2019 Feb 01;79(3):505-517.
    PMID: 30559148 DOI: 10.1158/0008-5472.CAN-18-2726
    DNA methylation is instrumental for gene regulation. Global changes in the epigenetic landscape have been recognized as a hallmark of cancer. However, the role of DNA methylation in epithelial ovarian cancer (EOC) remains unclear. In this study, high-density genetic and DNA methylation data in white blood cells from the Framingham Heart Study (N = 1,595) were used to build genetic models to predict DNA methylation levels. These prediction models were then applied to the summary statistics of a genome-wide association study (GWAS) of ovarian cancer including 22,406 EOC cases and 40,941 controls to investigate genetically predicted DNA methylation levels in association with EOC risk. Among 62,938 CpG sites investigated, genetically predicted methylation levels at 89 CpG were significantly associated with EOC risk at a Bonferroni-corrected threshold of P < 7.94 × 10-7. Of them, 87 were located at GWAS-identified EOC susceptibility regions and two resided in a genomic region not previously reported to be associated with EOC risk. Integrative analyses of genetic, methylation, and gene expression data identified consistent directions of associations across 12 CpG, five genes, and EOC risk, suggesting that methylation at these 12 CpG may influence EOC risk by regulating expression of these five genes, namely MAPT, HOXB3, ABHD8, ARHGAP27, and SKAP1. We identified novel DNA methylation markers associated with EOC risk and propose that methylation at multiple CpG may affect EOC risk via regulation of gene expression. SIGNIFICANCE: Identification of novel DNA methylation markers associated with EOC risk suggests that methylation at multiple CpG may affect EOC risk through regulation of gene expression.
    Matched MeSH terms: European Continental Ancestry Group/genetics*
  2. Giannakopoulou O, Lin K, Meng X, Su MH, Kuo PH, Peterson RE, et al.
    JAMA Psychiatry, 2021 Nov 01;78(11):1258-1269.
    PMID: 34586374 DOI: 10.1001/jamapsychiatry.2021.2099
    IMPORTANCE: Most previous genome-wide association studies (GWAS) of depression have used data from individuals of European descent. This limits the understanding of the underlying biology of depression and raises questions about the transferability of findings between populations.

    OBJECTIVE: To investigate the genetics of depression among individuals of East Asian and European descent living in different geographic locations, and with different outcome definitions for depression.

    DESIGN, SETTING, AND PARTICIPANTS: Genome-wide association analyses followed by meta-analysis, which included data from 9 cohort and case-control data sets comprising individuals with depression and control individuals of East Asian descent. This study was conducted between January 2019 and May 2021.

    EXPOSURES: Associations of genetic variants with depression risk were assessed using generalized linear mixed models and logistic regression. The results were combined across studies using fixed-effects meta-analyses. These were subsequently also meta-analyzed with the largest published GWAS for depression among individuals of European descent. Additional meta-analyses were carried out separately by outcome definition (clinical depression vs symptom-based depression) and region (East Asian countries vs Western countries) for East Asian ancestry cohorts.

    MAIN OUTCOMES AND MEASURES: Depression status was defined based on health records and self-report questionnaires.

    RESULTS: There were a total of 194 548 study participants (approximate mean age, 51.3 years; 62.8% women). Participants included 15 771 individuals with depression and 178 777 control individuals of East Asian descent. Five novel associations were identified, including 1 in the meta-analysis for broad depression among those of East Asian descent: rs4656484 (β = -0.018, SE = 0.003, P = 4.43x10-8) at 1q24.1. Another locus at 7p21.2 was associated in a meta-analysis restricted to geographically East Asian studies (β = 0.028, SE = 0.005, P = 6.48x10-9 for rs10240457). The lead variants of these 2 novel loci were not associated with depression risk in European ancestry cohorts (β = -0.003, SE = 0.005, P = .53 for rs4656484 and β = -0.005, SE = 0.004, P = .28 for rs10240457). Only 11% of depression loci previously identified in individuals of European descent reached nominal significance levels in the individuals of East Asian descent. The transancestry genetic correlation between cohorts of East Asian and European descent for clinical depression was r = 0.413 (SE = 0.159). Clinical depression risk was negatively genetically correlated with body mass index in individuals of East Asian descent (r = -0.212, SE = 0.084), contrary to findings for individuals of European descent.

    CONCLUSIONS AND RELEVANCE: These results support caution against generalizing findings about depression risk factors across populations and highlight the need to increase the ancestral and geographic diversity of samples with consistent phenotyping.

    Matched MeSH terms: European Continental Ancestry Group/genetics
  3. Darst BF, Shen J, Madduri RK, Rodriguez AA, Xiao Y, Sheng X, et al.
    Am J Hum Genet, 2023 Jul 06;110(7):1200-1206.
    PMID: 37311464 DOI: 10.1016/j.ajhg.2023.05.010
    Genome-wide polygenic risk scores (GW-PRSs) have been reported to have better predictive ability than PRSs based on genome-wide significance thresholds across numerous traits. We compared the predictive ability of several GW-PRS approaches to a recently developed PRS of 269 established prostate cancer-risk variants from multi-ancestry GWASs and fine-mapping studies (PRS269). GW-PRS models were trained with a large and diverse prostate cancer GWAS of 107,247 cases and 127,006 controls that we previously used to develop the multi-ancestry PRS269. Resulting models were independently tested in 1,586 cases and 1,047 controls of African ancestry from the California Uganda Study and 8,046 cases and 191,825 controls of European ancestry from the UK Biobank and further validated in 13,643 cases and 210,214 controls of European ancestry and 6,353 cases and 53,362 controls of African ancestry from the Million Veteran Program. In the testing data, the best performing GW-PRS approach had AUCs of 0.656 (95% CI = 0.635-0.677) in African and 0.844 (95% CI = 0.840-0.848) in European ancestry men and corresponding prostate cancer ORs of 1.83 (95% CI = 1.67-2.00) and 2.19 (95% CI = 2.14-2.25), respectively, for each SD unit increase in the GW-PRS. Compared to the GW-PRS, in African and European ancestry men, the PRS269 had larger or similar AUCs (AUC = 0.679, 95% CI = 0.659-0.700 and AUC = 0.845, 95% CI = 0.841-0.849, respectively) and comparable prostate cancer ORs (OR = 2.05, 95% CI = 1.87-2.26 and OR = 2.21, 95% CI = 2.16-2.26, respectively). Findings were similar in the validation studies. This investigation suggests that current GW-PRS approaches may not improve the ability to predict prostate cancer risk compared to the PRS269 developed from multi-ancestry GWASs and fine-mapping.
    Matched MeSH terms: European Continental Ancestry Group/genetics
  4. Robson N, Bond A, Wolff K
    Prev Med, 2013;57 Suppl:S8-10.
    PMID: 23624111 DOI: 10.1016/j.ypmed.2013.04.010
    OBJECTIVES: There is evidence that smoking behaviour differs by ethnicity. This study aims to compare smoking behaviour characteristics between Caucasian and Malay smokers.
    METHODS: A cross sectional survey, involving 175 smokers attending smoking cessation clinics at the Institute of Psychiatry, London, United Kingdom and University Malaya, Kuala Lumpur, Malaysia between May 2005 and February 2007. Data on demographics, smoking history, nicotine dependence and smoking behaviour were collected.
    RESULTS: All participants were males, mean age 30.7 ± 10.3 years. Caucasians initiated smoking significantly earlier (mean age 14.8 ± 2.8 years) (p = 0.001) and smoked regularly significantly earlier (mean age 17.3 ± 3.5) (p = 0.003) than Malays (mean starting age 16.9 ± 4.4 years and mean age regular use 19.5 ± 4.5 years), respectively. Caucasians smoked less for social integration than Malays (p = 0.03) but smoked more for regulation of negative affect than Malays (p = 0.008) and smoked more for hedonism than Malays (p < 0.001).
    CONCLUSION: Malays smoke as a means of socially integrating. This has important public health implications. Social reasons and the social environment play a role in smoking uptake, smoking maintenance and smoking cessation and this should be borne in mind for strategies planning to promote smoking cessation.
    KEYWORDS: Behaviour; Caucasian; Character; Cigarette; Malay; Nicotine; Smoking
    Matched MeSH terms: European Continental Ancestry Group/psychology*; European Continental Ancestry Group/statistics & numerical data
  5. Wong LP, George E, Tan JA
    BMC Public Health, 2011;11:193.
    PMID: 21447191 DOI: 10.1186/1471-2458-11-193
    Thalassaemia is a common public health problem in Malaysia and about 4.5 to 6% of the Malays and Chinese are carriers of this genetic disorder. The major forms of thalassaemia result in death in utero of affected foetuses (α-thalassaemia) or life-long blood transfusions for survival in β-thalassaemia. This study, the first nationwide population based survey of thalassaemia in Malaysia, aimed to determine differences in public awareness, perceptions and attitudes toward thalassaemia in the multi-racial population in Malaysia.
    Matched MeSH terms: European Continental Ancestry Group/psychology*; European Continental Ancestry Group/statistics & numerical data
  6. Haerian BS, Lim KS, Tan HJ, Wong CP, Wong SW, Tan CT, et al.
    Synapse, 2011 Oct;65(10):1073-9.
    PMID: 21465568 DOI: 10.1002/syn.20939
    The SYN2 rs3773364 A>G polymorphism has been proposed to be involved in susceptibility to epilepsy, but research results have been inconclusive. The aim of this study was to investigate the association between the SYN2 rs3773364 A>G polymorphism and susceptibility against epilepsy in a case-control study and a meta-analysis.
    Matched MeSH terms: European Continental Ancestry Group/ethnology; European Continental Ancestry Group/genetics
  7. Teh LK, Lee WL, Amir J, Salleh MZ, Ismail R
    J Clin Pharm Ther, 2007 Jun;32(3):313-9.
    PMID: 17489883
    P-glycoprotein (PgP) is the most extensively studied ATP-binding cassette (ABC) coded by MDR1 gene. To date, 29 single nucleotide polymorphisms (SNPs) have been identified; but only SNP C3435T has been correlated with intestinal PgP expression levels and shown to influence the absorption of orally taken drugs that are PgP substrates. Individuals homozygous for the T allele have more than fourfold lower PgP expression compared with C/C individuals. We developed a one step primer based allele specific PCR method to detect SNP at C3435T to investigate the distribution of this genotype in the local population.
    Matched MeSH terms: European Continental Ancestry Group/ethnology; European Continental Ancestry Group/genetics
  8. Yaacob H, Nambiar P, Naidu MD
    Malays J Pathol, 1996 Jun;18(1):1-7.
    PMID: 10879216
    Determining the racial affinity of an unknown individual from dentition for identification is indeed a difficult endeavour. However, there are certain dental characteristics which are predominant in certain racial groups and these contribute important indicators in the identification process. Inherited dental characteristics are modified by prenatal and postnatal environmental and nutritional conditions. They can also become less discernible due to admixture of the various races.
    Matched MeSH terms: European Continental Ancestry Group/classification; European Continental Ancestry Group/genetics
  9. Alex D, Khor HM, Chin AV, Hairi NN, Othman S, Khoo SPK, et al.
    BMJ Open, 2018 07 17;8(7):e019579.
    PMID: 30018093 DOI: 10.1136/bmjopen-2017-019579
    OBJECTIVES: Falls represent major health issues within the older population. In low/middle-income Asian countries, falls in older adults remain an area which has yet to be studied in detail. Using data from the Malaysian Elders Longitudinal Research (MELoR), we have estimated the prevalence of falls among older persons in an urban population, and performed ethnic comparisons in the prevalence of falls.

    DESIGN: Cross-sectional analysis was carried out using the first wave data from MELoR which is a longitudinal study.

    SETTING: Urban community dwellers in a middle-income South East Asian country.

    PARTICIPANTS: 1565 participants aged ≥55 years were selected by simple random sampling from the electoral rolls of three parliamentary constituencies.

    OUTCOME MEASURES: Consenting participants from the MELoR study were asked the question 'Have you fallen down in the past 12 months?' during their computer-assisted home-based interviews. Logistic regression analyses were conducted to compare the prevalence of falls among various ethnic groups.

    RESULTS: The overall estimated prevalence of falls for individuals aged 55 years and over adjusted to the population of Kuala Lumpur was 18.9%. The estimated prevalence of falls for the three ethnic populations of Malays, Chinese and Indian aged 55 years and over was 16.2%, 19.4% and 23.8%, respectively. Following adjustment for ethnic discrepancies in age, gender, marital status and education attainment, the Indian ethnicity remained an independent predictor of falls in our population (relative risk=1.45, 95% CI 1.08 to 1.85).

    CONCLUSION: The prevalence of falls in this study is comparable to other previous Asian studies, but appears lower than Western studies. The predisposition of the Indian ethnic group to falls has not been previously reported. Further studies may be needed to elucidate the causes for the ethnic differences in fall prevalence.

    Matched MeSH terms: European Continental Ancestry Group/ethnology; European Continental Ancestry Group/statistics & numerical data*
  10. Komahan K, Reidpath DD
    Am J Epidemiol, 2014 Aug 1;180(3):325-9.
    PMID: 24944286 DOI: 10.1093/aje/kwu129
    Correct identification of ethnicity is central to many epidemiologic analyses. Unfortunately, ethnicity data are often missing. Successful classification typically relies on large databases (n > 500,000 names) of known name-ethnicity associations. We propose an alternative naïve Bayesian strategy that uses substrings of full names. Name and ethnicity data for Malays, Indians, and Chinese were provided by a health and demographic surveillance site operating in Malaysia from 2011-2013. The data comprised a training data set (n = 10,104) and a test data set (n = 9,992). Names were spliced into contiguous 3-letter substrings, and these were used as the basis for the Bayesian analysis. Performance was evaluated on both data sets using Cohen's κ and measures of sensitivity and specificity. There was little difference between the classification performance in the training and test data (κ = 0.93 and 0.94, respectively). For the test data, the sensitivity values for the Malay, Indian, and Chinese names were 0.997, 0.855, and 0.932, respectively, and the specificity values were 0.907, 0.998, and 0.997, respectively. A naïve Bayesian strategy for the classification of ethnicity is promising. It performs at least as well as more sophisticated approaches. The possible application to smaller data sets is particularly appealing. Further research examining other substring lengths and other ethnic groups is warranted.
    Matched MeSH terms: European Continental Ancestry Group
  11. Woon KC
    Aust Orthod J, 1988 Mar;10(3):183-5.
    PMID: 3166621
    Matched MeSH terms: European Continental Ancestry Group
  12. Yong MH, Lim XL, Schaefer A
    Neurosci Lett, 2020 02 16;720:134759.
    PMID: 31952988 DOI: 10.1016/j.neulet.2020.134759
    Past research has found that several brain event-related potentials (ERPs) were sensitive to the perception of ethnic differences displayed on human faces. This body of research suggests that the phenomenon of "race perception" involves a cascade of cognitive processes that includes both automatic and overt attentional mechanisms. However, most of these studies used stimuli depicting whole faces rather than stimuli depicting separate facial features. Therefore, it is still largely unknown if ERP responses to racial differences are the result of a holistic processing of the whole face, or whether they can be accounted for by the perception of single facial features. To address this issue, we examined whether a single facial feature, the eyes region, can provide sufficient information to trigger known ERP correlates of race perception such as the P2, the N400 and the Late Positive Complex (LPC). Specifically, we showed pictures depicting only the eyes region of Caucasian and Asian faces to a sample of Asian participants. We found that the P2 was larger for other-race (OR) compared to same-race (SR) eyes, and that the N400 was larger for SR compared to OR eyes. The effects on the P2 may suggest an enhanced vigilance response to OR eyes whereas the N400 effect could reflect a signal of familiarity triggered by SR eyes. These results indicate that a specific facial feature, the eyes region, can account for known effects of race perception on early brain potentials. Our findings also indicate that well-known early neural correlates of race perception can be triggered in the absence of a holistic processing of the whole face.
    Matched MeSH terms: European Continental Ancestry Group
  13. Galloway D
    Matched MeSH terms: European Continental Ancestry Group
  14. Burns-Cox CJ, Lau LC, Toh BH
    J Electrocardiol, 1971;4(3):211-9.
    PMID: 5126628
    Matched MeSH terms: European Continental Ancestry Group
  15. Chong YH, Mills GL
    Med J Malaya, 1966 Jun;20(4):284-7.
    PMID: 4224336
    Matched MeSH terms: European Continental Ancestry Group
  16. Welch QB, Lie-Injo LE
    Hum. Hered., 1972;22(5):503-7.
    PMID: 4670071
    Matched MeSH terms: European Continental Ancestry Group
  17. Loncin H
    Med J Malaya, 1965 Sep;20(1):85-7.
    PMID: 4221440
    Matched MeSH terms: European Continental Ancestry Group
  18. Petrakis NL, Pingle U, Petrakis SJ, Petrakis SL
    Am. J. Phys. Anthropol., 1971 Jul;35(1):141-4.
    PMID: 5138849
    Matched MeSH terms: European Continental Ancestry Group
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