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Millwood IY, Walters RG, Mei XW, Guo Y, Yang L, Bian Z, Bennett DA, Chen Y, Dong C, Hu R, Zhou G, Yu B, Jia W, Parish S, Clarke R, Davey Smith G, Collins R, Holmes MV, Li L, Peto R, Chen Z. Conventional and genetic evidence on alcohol and vascular disease aetiology: a prospective study of 500 000 men and women in China. Lancet 2019; 393:1831-1842. [PMID: 30955975 PMCID: PMC6497989 DOI: 10.1016/s0140-6736(18)31772-0] [Citation(s) in RCA: 332] [Impact Index Per Article: 55.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/05/2018] [Revised: 07/21/2018] [Accepted: 07/24/2018] [Indexed: 12/11/2022]
Abstract
BACKGROUND Moderate alcohol intake has been associated with reduced cardiovascular risk in many studies, in comparison with abstinence or with heavier drinking. Studies in east Asia can help determine whether these associations are causal, since two common genetic variants greatly affect alcohol drinking patterns. We used these two variants to assess the relationships between cardiovascular risk and genotype-predicted mean alcohol intake in men, contrasting the findings in men with those in women (few of whom drink). METHODS The prospective China Kadoorie Biobank enrolled 512 715 adults between June 25, 2004, and July 15, 2008, from ten areas of China, recording alcohol use and other characteristics. It followed them for about 10 years (until Jan 1, 2017), monitoring cardiovascular disease (including ischaemic stroke, intracerebral haemorrhage, and myocardial infarction) by linkage with morbidity and mortality registries and electronic hospital records. 161 498 participants were genotyped for two variants that alter alcohol metabolism, ALDH2-rs671 and ADH1B-rs1229984. Adjusted Cox regression was used to obtain the relative risks associating disease incidence with self-reported drinking patterns (conventional epidemiology) or with genotype-predicted mean male alcohol intake (genetic epidemiology-ie, Mendelian randomisation), with stratification by study area to control for variation between areas in disease rates and in genotype-predicted intake. FINDINGS 33% (69 897/210 205) of men reported drinking alcohol in most weeks, mainly as spirits, compared with only 2% (6245/302 510) of women. Among men, conventional epidemiology showed that self-reported alcohol intake had U-shaped associations with the incidence of ischaemic stroke (n=14 930), intracerebral haemorrhage (n=3496), and acute myocardial infarction (n=2958); men who reported drinking about 100 g of alcohol per week (one to two drinks per day) had lower risks of all three diseases than non-drinkers or heavier drinkers. In contrast, although genotype-predicted mean male alcohol intake varied widely (from 4 to 256 g per week-ie, near zero to about four drinks per day), it did not have any U-shaped associations with risk. For stroke, genotype-predicted mean alcohol intake had a continuously positive log-linear association with risk, which was stronger for intracerebral haemorrhage (relative risk [RR] per 280 g per week 1·58, 95% CI 1·36-1·84, p<0·0001) than for ischaemic stroke (1·27, 1·13-1·43, p=0·0001). For myocardial infarction, however, genotype-predicted mean alcohol intake was not significantly associated with risk (RR per 280 g per week 0·96, 95% CI 0·78-1·18, p=0·69). Usual alcohol intake in current drinkers and genotype-predicted alcohol intake in all men had similarly strong positive associations with systolic blood pressure (each p<0·0001). Among women, few drank and the studied genotypes did not predict high mean alcohol intake and were not positively associated with blood pressure, stroke, or myocardial infarction. INTERPRETATION Genetic epidemiology shows that the apparently protective effects of moderate alcohol intake against stroke are largely non-causal. Alcohol consumption uniformly increases blood pressure and stroke risk, and appears in this one study to have little net effect on the risk of myocardial infarction. FUNDING Chinese Ministry of Science and Technology, Kadoorie Charitable Foundation, National Natural Science Foundation of China, British Heart Foundation, Cancer Research UK, GlaxoSmithKline, Medical Research Council, and Wellcome Trust.
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Affiliation(s)
- Iona Y Millwood
- Medical Research Council Population Health Research Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK; Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Robin G Walters
- Medical Research Council Population Health Research Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK; Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Xue W Mei
- Medical Research Council Population Health Research Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK; Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Yu Guo
- Chinese Academy of Medical Sciences, Beijing, China
| | - Ling Yang
- Medical Research Council Population Health Research Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK; Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Zheng Bian
- Chinese Academy of Medical Sciences, Beijing, China
| | - Derrick A Bennett
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Yiping Chen
- Medical Research Council Population Health Research Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK; Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Caixia Dong
- Gansu Provincial Center for Disease Control and Prevention, Lanzhou, China
| | - Ruying Hu
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
| | - Gang Zhou
- Henan Center for Disease Control and Prevention, Zhengzhou, China
| | - Bo Yu
- Nangang Center for Disease Control and Prevention, Harbin, China
| | - Weifang Jia
- Liuyang Center for Disease Control and Prevention, Changsha, China
| | - Sarah Parish
- Medical Research Council Population Health Research Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK; Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Robert Clarke
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - George Davey Smith
- Medical Research Council Integrative Epidemiology Unit, Population Health Sciences, University of Bristol, Bristol, UK
| | - Rory Collins
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Michael V Holmes
- Medical Research Council Population Health Research Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK; Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Liming Li
- Department of Epidemiology and Biostatistics, Peking University Health Science Center, Peking University, Beijing, China.
| | - Richard Peto
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Zhengming Chen
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK.
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Kranzler HR, Zhou H, Kember RL, Vickers Smith R, Justice AC, Damrauer S, Tsao PS, Klarin D, Baras A, Reid J, Overton J, Rader DJ, Cheng Z, Tate JP, Becker WC, Concato J, Xu K, Polimanti R, Zhao H, Gelernter J. Genome-wide association study of alcohol consumption and use disorder in 274,424 individuals from multiple populations. Nat Commun 2019; 10:1499. [PMID: 30940813 PMCID: PMC6445072 DOI: 10.1038/s41467-019-09480-8] [Citation(s) in RCA: 309] [Impact Index Per Article: 51.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2018] [Accepted: 03/06/2019] [Indexed: 12/21/2022] Open
Abstract
Alcohol consumption level and alcohol use disorder (AUD) diagnosis are moderately heritable traits. We conduct genome-wide association studies of these traits using longitudinal Alcohol Use Disorder Identification Test-Consumption (AUDIT-C) scores and AUD diagnoses in a multi-ancestry Million Veteran Program sample (N = 274,424). We identify 18 genome-wide significant loci: 5 associated with both traits, 8 associated with AUDIT-C only, and 5 associated with AUD diagnosis only. Polygenic Risk Scores (PRS) for both traits are associated with alcohol-related disorders in two independent samples. Although a significant genetic correlation reflects the overlap between the traits, genetic correlations for 188 non-alcohol-related traits differ significantly for the two traits, as do the phenotypes associated with the traits' PRS. Cell type group partitioning heritability enrichment analyses also differentiate the two traits. We conclude that, although heavy drinking is a key risk factor for AUD, it is not a sufficient cause of the disorder.
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Affiliation(s)
- Henry R Kranzler
- University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, 19104, USA.
- Crescenz Veterans Affairs Medical Center, Philadelphia, PA, 19104, USA.
| | - Hang Zhou
- Yale School of Medicine, New Haven, CT, 06511, USA
- Veterans Affairs Connecticut Healthcare System, West Haven, CT, 06516, USA
| | - Rachel L Kember
- University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, 19104, USA
- Crescenz Veterans Affairs Medical Center, Philadelphia, PA, 19104, USA
| | - Rachel Vickers Smith
- Crescenz Veterans Affairs Medical Center, Philadelphia, PA, 19104, USA
- University of Louisville School of Nursing, Louisville, KY, 40202, USA
| | - Amy C Justice
- Yale School of Medicine, New Haven, CT, 06511, USA
- Veterans Affairs Connecticut Healthcare System, West Haven, CT, 06516, USA
- Yale School of Public Health, New Haven, CT, 06511, USA
| | - Scott Damrauer
- University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, 19104, USA
- Crescenz Veterans Affairs Medical Center, Philadelphia, PA, 19104, USA
| | - Philip S Tsao
- VA Palo Alto Health Care System, Palo Alto, CA, 94304, USA
- Stanford University School of Medicine, Stanford, CA, 94305, USA
| | - Derek Klarin
- Massachusetts General Hospital, Harvard Medical School, Boston, MA, 02114, USA
| | - Aris Baras
- Regeneron Genetics Center, Tarrytown, NY, 10591, USA
| | - Jeffrey Reid
- Regeneron Genetics Center, Tarrytown, NY, 10591, USA
| | - John Overton
- Regeneron Genetics Center, Tarrytown, NY, 10591, USA
| | - Daniel J Rader
- University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, 19104, USA
| | - Zhongshan Cheng
- Yale School of Medicine, New Haven, CT, 06511, USA
- Veterans Affairs Connecticut Healthcare System, West Haven, CT, 06516, USA
| | - Janet P Tate
- Yale School of Medicine, New Haven, CT, 06511, USA
- Veterans Affairs Connecticut Healthcare System, West Haven, CT, 06516, USA
| | - William C Becker
- Yale School of Medicine, New Haven, CT, 06511, USA
- Veterans Affairs Connecticut Healthcare System, West Haven, CT, 06516, USA
| | - John Concato
- Yale School of Medicine, New Haven, CT, 06511, USA
- Veterans Affairs Connecticut Healthcare System, West Haven, CT, 06516, USA
| | - Ke Xu
- Yale School of Medicine, New Haven, CT, 06511, USA
- Veterans Affairs Connecticut Healthcare System, West Haven, CT, 06516, USA
| | - Renato Polimanti
- Yale School of Medicine, New Haven, CT, 06511, USA
- Veterans Affairs Connecticut Healthcare System, West Haven, CT, 06516, USA
| | - Hongyu Zhao
- Yale School of Medicine, New Haven, CT, 06511, USA
- Yale School of Public Health, New Haven, CT, 06511, USA
| | - Joel Gelernter
- Yale School of Medicine, New Haven, CT, 06511, USA
- Veterans Affairs Connecticut Healthcare System, West Haven, CT, 06516, USA
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Yokoyama A, Yokoyama T, Omori T, Maesato H, Takimura T, Iwahara C, Kimura M, Matsui T, Mizukami T, Maruyama K. Endoscopic screening using esophageal iodine staining and genotypes of ADH1B and ALDH2 in Japanese alcohol-dependent women. PLoS One 2019; 14:e0210546. [PMID: 30629674 PMCID: PMC6328133 DOI: 10.1371/journal.pone.0210546] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2018] [Accepted: 12/27/2018] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND The presence of large or multiple esophageal distinct iodine-unstained lesions (DIULs) is a strong predictor of field cancerization in the upper aerodigestive tract. Several risk factors for DIULs, including genetic polymorphisms of alcohol and aldehyde dehydrogenases (ADH1B, rs1229984; ALDH2, rs671), have been demonstrated in Japanese alcohol-dependent men. However, few evaluations of alcohol-dependent women have been conducted in this field. METHODS Using multiple logistic regression models, we investigated the results of screening using esophageal iodine staining and the identification of determinants for esophageal DIULs in 472 Japanese alcohol-dependent women. RESULTS DIULs ≥5 mm, multiple DILUs, and both characteristics were observed in 35 (7.4%), 31 (6.6%), and 16 (3.4%) patients, respectively. DIULs ≥5 mm were histologically diagnosed as low-grade intraepithelial neoplasia in 26 patients and superficial squamous cell carcinoma in 9 patients. Although the inactive heterozygous ALDH2*1/*2 genotype was more common (33.3% vs. 11.4%, p = 0.002) in the group with DIULs ≥5 mm than in the group without DIULs ≥5 mm, no significant differences in the results of a questionnaire asking about current and past facial flushing after a glass of beer were seen between the groups with and without DIULs ≥5 mm. When individuals with current or former flushing were assumed to have inactive ALDH2, the sensitivity and specificity of current or former flushing to identify the presence of inactive ALDH2 were 50.0% and 93.5%, respectively; these values were previously reported to be 88% and 92%, respectively, in a Japanese general female population. The low sensitivity in the present study suggests that a lack of alcohol flushing may play a crucial role in the development of alcohol dependence in women with inactive ALDH2. No significant differences in age, usual alcohol consumption, or smoking habits were observed according to ADH1B and ALDH2 genotypes. Multiple logistic regression analyses showed that the slow-metabolizing ADH1B*1/*1 genotype (odds ratio [95% confidence interval], 12.5 [4.82-32.4] and 9.89 [3.50-27.9]), the inactive heterozygous ALDH2*1/*2 genotype (2.94 [1.18-7.38] and 3.79 [1.40-10.3]), a lower body mass index per -1 kg/m2 (1.17 [1.02-1.35] and 1.38 [1.14-1.67]), and a mean corpuscular volume ≥106 fl (3.70 [1.56-8.81] and 3.27 [1.24-8.64]) increased the risk of DIULs ≥5 mm and multiple DIULs, respectively. The combination of ADH1B*1/*1 and ALDH2*1/*2 markedly increased the risk of esophageal DIULs ≥5 mm (39.3 [10.6-146]). CONCLUSIONS Japanese alcohol-dependent women shared several common risk factors for esophageal squamous cell neoplasia with alcohol-dependent men, but with considerably different magnitudes.
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Affiliation(s)
- Akira Yokoyama
- National Hospital Organization Kurihama Medical and Addiction Center, Yokosuka, Kanagawa, Japan
| | - Tetsuji Yokoyama
- Department of Health Promotion, National Institute of Public Health, Wako, Saitama, Japan
| | - Tai Omori
- Endoscopy Center, Kawasaki Municipal Ida Hospital, Kawasaki, Kanagawa, Japan
| | - Hitoshi Maesato
- National Hospital Organization Kurihama Medical and Addiction Center, Yokosuka, Kanagawa, Japan
| | - Tsuyoshi Takimura
- National Hospital Organization Kurihama Medical and Addiction Center, Yokosuka, Kanagawa, Japan
| | - Chie Iwahara
- National Hospital Organization Kurihama Medical and Addiction Center, Yokosuka, Kanagawa, Japan
| | - Mitsuru Kimura
- National Hospital Organization Kurihama Medical and Addiction Center, Yokosuka, Kanagawa, Japan
| | - Toshifumi Matsui
- National Hospital Organization Kurihama Medical and Addiction Center, Yokosuka, Kanagawa, Japan
| | - Takeshi Mizukami
- National Hospital Organization Kurihama Medical and Addiction Center, Yokosuka, Kanagawa, Japan
| | - Katsuya Maruyama
- National Hospital Organization Kurihama Medical and Addiction Center, Yokosuka, Kanagawa, Japan
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Edenberg HJ, McClintick JN. Alcohol Dehydrogenases, Aldehyde Dehydrogenases, and Alcohol Use Disorders: A Critical Review. Alcohol Clin Exp Res 2018; 42:2281-2297. [PMID: 30320893 PMCID: PMC6286250 DOI: 10.1111/acer.13904] [Citation(s) in RCA: 162] [Impact Index Per Article: 23.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2018] [Accepted: 10/07/2018] [Indexed: 12/20/2022]
Abstract
Alcohol use disorders (AUDs) are complex traits, meaning that variations in many genes contribute to the risk, as does the environment. Although the total genetic contribution to risk is substantial, most individual variations make only very small contributions. By far the strongest contributors are functional variations in 2 genes involved in alcohol (ethanol [EtOH]) metabolism. A functional variant in alcohol dehydrogenase 1B (ADH1B) is protective in people of European and Asian descent, and a different functional variant in the same gene is protective in those of African descent. A strongly protective variant in aldehyde dehydrogenase 2 (ALDH2) is essentially only found in Asians. This highlights the need to study a wide range of populations. The likely mechanism of protection against heavy drinking and AUDs in both cases is alteration in the rate of metabolism of EtOH that at least transiently elevates acetaldehyde. Other ADH and ALDH variants, including functional variations in ADH1C, have also been implicated in affecting drinking behavior and risk for alcoholism. The pattern of linkage disequilibrium in the ADH region and the differences among populations complicate analyses, particularly of regulatory variants. This critical review focuses upon the ADH and ALDH genes as they affect AUDs.
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Affiliation(s)
- Howard J. Edenberg
- Department of Biochemistry and Molecular Biology, Indiana University School of Medicine, Indianapolis, IN
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN
| | - Jeanette N. McClintick
- Department of Biochemistry and Molecular Biology, Indiana University School of Medicine, Indianapolis, IN
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Hawn SE, Sheerin CM, Webb BT, Peterson RE, Do EK, Dick D, Kendler KS, Bacanu SA, Amstadter AB. Replication of the Interaction of PRKG1 and Trauma Exposure on Alcohol Misuse in an Independent African American Sample. J Trauma Stress 2018; 31:927-932. [PMID: 30376604 PMCID: PMC6295354 DOI: 10.1002/jts.22339] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/05/2018] [Revised: 07/31/2018] [Accepted: 08/06/2018] [Indexed: 12/11/2022]
Abstract
In the present study, we sought to replicate recent findings of Polimanti et al. (2017), who conducted a genome-wide gene-by-environment interaction study (GEWIS) and identified a gene-by-trauma interaction that predicts alcohol misuse among African Americans. Consistent with the findings published by Polimanti and colleagues, results of the current study demonstrated an interaction effect, b = 0.41, of trauma exposure and rs1729578 in the intron of PRKG1 on alcohol misuse in a subsample of ancestral African Americans. The minor allele (rs1729578*C) was positively associated with increased alcohol use disorder symptoms in trauma-exposed subjects and negatively associated in non-trauma-exposed subjects. This effect, however, was only significant for one out of three alcohol outcome measures we investigated, suggesting the interaction may be most salient when predicting higher severity of alcohol misuse. Additionally, the effect did not remain significant after we accounted for testing the effect on three different outcome variables. Also in line with the original study, the gene-by-environment effect was not demonstrated among the ancestral European subsample. The findings suggest this gene variant may increase an individual's susceptibility to environmental influences, both adverse and supportive.
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Affiliation(s)
- Sage E. Hawn
- Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, Virginia, USA,Department of Psychology, Virginia Commonwealth University, Richmond, Virginia, USA
| | - Christina M. Sheerin
- Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, Virginia, USA
| | - Bradley T. Webb
- Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, Virginia, USA,Department of Psychiatry, Virginia Commonwealth University, Richmond, Virginia, USA
| | - Roseann E. Peterson
- Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, Virginia, USA,Department of Psychiatry, Virginia Commonwealth University, Richmond, Virginia, USA
| | - Elizabeth K. Do
- Department of Health Behavior and Policy, Virginia Commonwealth University, Richmond, Virginia, USA
| | - Danielle Dick
- Department of Psychology, Virginia Commonwealth University, Richmond, Virginia, USA,College Behavioral and Emotional Health Institute, Virginia Commonwealth University, Richmond, Virginia, USA
| | - Kenneth S. Kendler
- Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, Virginia, USA,Department of Psychiatry, Virginia Commonwealth University, Richmond, Virginia, USA
| | - Silviu-Alin Bacanu
- Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, Virginia, USA
| | - Ananda B. Amstadter
- Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, Virginia, USA,Department of Psychiatry, Virginia Commonwealth University, Richmond, Virginia, USA,Department of Human and Molecular Genetics, Virginia Commonwealth University, Richmond, Virginia, USA
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Association between the missense alcohol dehydrogenase rs1229984T variant with the risk for Parkinson's disease in women. J Neurol 2018; 266:346-352. [PMID: 30483881 DOI: 10.1007/s00415-018-9136-9] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2018] [Revised: 11/19/2018] [Accepted: 11/20/2018] [Indexed: 12/30/2022]
Abstract
BACKGROUND/OBJECTIVE Several meta-analyses including retrospective case-control studies have shown that the risk of developing Parkinson's disease (PD) correlates inversely with alcohol consumption and (PD), although the results of prospective longitudinal studies are far from being conclusive. The reasons for this inverse association are not well-known. Because alcohol dehydrogenase is one of the most important alcohol-detoxification enzymes, we tried to replicate a putative association of the risk of developing PD with two missense gene variations affecting the alcohol dehydrogenase 1B (ADH1B) gene (one of them related with aversive effects to alcohol). METHODS In a cohort composed of 629 PD patients and 865 age- and gender-matched healthy individuals, we analyzed genotypes and allele frequencies for two common missense ADH1B single nucleotide polymorphisms (SNPs), namely rs1229984 (His48Arg) and rs6413413 (Thr60Ser) using specifically designed TaqMan assays. RESULTS The frequency of individuals carrying rs1229984T alleles in homozygosity or in heterozygosity was higher in PD than in controls in the whole study cohort (P < 0.001 and P = 0.005, respectively), and in women (P < 0.001 and P < 0.001, respectively). The genotypes for rs6413413 were similar in PD patients and control subjects. Age at onset of PD patients was not statistically related to rs1229984 or rs6413413 genotypes. CONCLUSIONS The missense variant rs1229984T is statistically associated with the risk of developing PD mainly in women, which could explain differences in alcohol consumption in this gender.
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Gu S, Li H, Pakstis AJ, Speed WC, Gurwitz D, Kidd JR, Kidd KK. Recent Selection on a Class I ADH Locus Distinguishes Southwest Asian Populations Including Ashkenazi Jews. Genes (Basel) 2018; 9:genes9090452. [PMID: 30205534 PMCID: PMC6162407 DOI: 10.3390/genes9090452] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2018] [Revised: 08/21/2018] [Accepted: 08/21/2018] [Indexed: 12/29/2022] Open
Abstract
The derived human alcohol dehydrogenase (ADH)1B*48His allele of the ADH1B Arg48His polymorphism (rs1229984) has been identified as one component of an East Asian specific core haplotype that underwent recent positive selection. Our study has been extended to Southwest Asia and additional markers in East Asia. Fst values (Sewall Wright’s fixation index) and long-range haplotype analyses identify a strong signature of selection not only in East Asian but also in Southwest Asian populations. However, except for the ADH2B*48His allele, different core haplotypes occur in Southwest Asia compared to East Asia and the extended haplotypes also differ. Thus, the ADH1B*48His allele, as part of a core haplotype of 10 kb, has undergone recent rapid increases in frequency independently in the two regions after divergence of the respective populations. Emergence of agriculture may be the common factor underlying the evident selection.
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Affiliation(s)
- Sheng Gu
- Department of Genetics, School of Medicine, Yale University, New Haven, CT 06520, USA.
- Ministry of Education Key Laboratory of Contemporary Anthropology, School of Life Sciences, Fudan University, Shanghai 200433, China.
| | - Hui Li
- Ministry of Education Key Laboratory of Contemporary Anthropology, School of Life Sciences, Fudan University, Shanghai 200433, China.
| | - Andrew J Pakstis
- Department of Genetics, School of Medicine, Yale University, New Haven, CT 06520, USA.
| | - William C Speed
- Department of Genetics, School of Medicine, Yale University, New Haven, CT 06520, USA.
| | - David Gurwitz
- Department of Human Molecular Genetics and Biochemistry, Faculty of Medicine, Tel Aviv University, Tel Aviv 69978, Israel.
| | - Judith R Kidd
- Department of Genetics, School of Medicine, Yale University, New Haven, CT 06520, USA.
| | - Kenneth K Kidd
- Department of Genetics, School of Medicine, Yale University, New Haven, CT 06520, USA.
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Zhang C, Guo W, Cheng Y, Chen W, Yang X, Dai R, Yan M, Li Q. WITHDRAWN: Genetic polymorphisms of pharmacogenomic VIP variants in the Wa population from southwest China. Drug Metab Pharmacokinet 2018. [DOI: 10.1016/j.dmpk.2018.06.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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59
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Cui Q, Peng L, Wei L, Chang J, Tan W, Luo Y, Huang X, Zhao Y, Li J, Chu J, Shao M, Zhang C, Li C, Tan W, Lin D, Wu C. Genetic variant repressing ADH1A expression confers susceptibility to esophageal squamous-cell carcinoma. Cancer Lett 2018; 421:43-50. [DOI: 10.1016/j.canlet.2017.12.020] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2017] [Revised: 11/24/2017] [Accepted: 12/12/2017] [Indexed: 12/27/2022]
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Polimanti R, Zhao H, Farrer LA, Kranzler HR, Gelernter J. Ancestry-specific and sex-specific risk alleles identified in a genome-wide gene-by-alcohol dependence interaction study of risky sexual behaviors. Am J Med Genet B Neuropsychiatr Genet 2017; 174:846-853. [PMID: 28990359 PMCID: PMC5861711 DOI: 10.1002/ajmg.b.32604] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/26/2017] [Revised: 09/07/2017] [Accepted: 09/18/2017] [Indexed: 01/26/2023]
Abstract
We previously mapped loci for the genome-wide association studies (GWAS) and genome-wide gene-by-alcohol dependence interaction (GW-GxAD) analyses of risky sexual behaviors (RSB). This study extends those findings by analyzing the ancestry- and sex-specific AD-stratified effects on RSB. We examined the concordance of findings for the AD-stratified GWAS and the GW-GxAD analysis of RSB, with concordance defined as genome-wide significance in one analysis and at least nominal significance in the second analysis. A total of 2,173 African-American (AA) and 1,751 European-American (EA) subjects were investigated. Information regarding RSB (lifetime experiences of unprotected sex and multiple sexual partners) and DSM-IV diagnosis of lifetime AD were derived from the Semi-Structured Assessment for Drug Dependence and Alcoholism (SSADDA). In our ancestry- and sex-specific analyses, we identified four independent genome-wide significant (GWS) loci (p < 5*10-8 ) and one suggestive locus (p < 6*10-8 ). In men, we observed a GWS signal in FAM162A (rs2002594, p = 4.96*10-8 ). In women, there was a suggestive locus in PLGRKT (rs3824435, p = 5.52*10-8 ). In AAs, there was a GWS signal in GRK5 (rs1316543, p = 1.25*10-9 ). In AA men, we observed an intergenic GWS signal (rs12898370, p = 4.49*10-8 ) near LINGO1. In EA men, there was a GWS signal in CCSER1 (rs62313897; p = 7.93*10-10 ). The loci identified in this GWAS implicate molecular mechanisms related to psychiatric illness and personality features, suggesting that the interplay between AD and RSB is mediated by alleles associated with behavioral traits.
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Affiliation(s)
- Renato Polimanti
- Department of Psychiatry, Yale University School of Medicine, West Haven, CT, USA
- VA CT Healthcare Center, West Haven, CT, USA
| | - Hongyu Zhao
- Department of Biostatistics, Yale University School of Public Health, New Haven, CT, USA
- Department of Genetics, Yale University School of Medicine, New Haven, CT, USA
| | - Lindsay A. Farrer
- Departments of Medicine (Biomedical Genetics), Neurology, Ophthalmology, Biostatistics, and Epidemiology, Boston University Schools of Medicine and Public Health, Boston, MA, USA
| | - Henry R. Kranzler
- Department of Psychiatry, University of Pennsylvania School of Medicine and VISN 4 MIRECC, Philadelphia VAMC, Philadelphia, PA, USA
| | - Joel Gelernter
- Department of Psychiatry, Yale University School of Medicine, West Haven, CT, USA
- VA CT Healthcare Center, West Haven, CT, USA
- Department of Genetics, Yale University School of Medicine, New Haven, CT, USA
- Department of Neurobiology, Yale University School of Medicine, New Haven, CT, USA
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61
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Hu YF, Chang YT, Lin YJ, Chang SL, Lo LW, Huang YH, Liu TT, Chen CH, Tuan TC, Chao TF, Chung FP, Liao JN, Te ALD, Huang CYF, Chen SA. The roles of alcohol dehydrogenase in patients with atrial fibrillation. PACING AND CLINICAL ELECTROPHYSIOLOGY: PACE 2017; 40:1446-1453. [DOI: 10.1111/pace.13208] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/29/2017] [Accepted: 09/22/2017] [Indexed: 12/23/2022]
Affiliation(s)
- Yu-Feng Hu
- Division of Cardiology, Department of Medicine; Taipei Veterans General Hospital; Taipei Taiwan
- Faculty of Medicine, School of Medicine; National Yang-Ming University; Taipei Taiwan
| | - Yao-Ting Chang
- Division of Cardiology, Department of Medicine; Taipei Veterans General Hospital; Taipei Taiwan
- Faculty of Medicine, School of Medicine; National Yang-Ming University; Taipei Taiwan
| | - Yenn-Jiang Lin
- Division of Cardiology, Department of Medicine; Taipei Veterans General Hospital; Taipei Taiwan
- Faculty of Medicine, School of Medicine; National Yang-Ming University; Taipei Taiwan
| | - Shih-Lin Chang
- Division of Cardiology, Department of Medicine; Taipei Veterans General Hospital; Taipei Taiwan
- Faculty of Medicine, School of Medicine; National Yang-Ming University; Taipei Taiwan
| | - Li-Wei Lo
- Division of Cardiology, Department of Medicine; Taipei Veterans General Hospital; Taipei Taiwan
- Faculty of Medicine, School of Medicine; National Yang-Ming University; Taipei Taiwan
| | - Yen-Hua Huang
- Institute of Biomedical Informatics, Center for Systems and Synthetic Biology; National Yang-Ming University; Taipei Taiwan
| | - Tze-Tze Liu
- Genome Research Center; National Yang-Ming University; Taipei Taiwan
| | - Che-Hong Chen
- Department of Chemical and Systems Biology; Stanford University, School of Medicine; Stanford CA USA
| | - Ta-Chuan Tuan
- Division of Cardiology, Department of Medicine; Taipei Veterans General Hospital; Taipei Taiwan
- Faculty of Medicine, School of Medicine; National Yang-Ming University; Taipei Taiwan
| | - Tze-Fan Chao
- Division of Cardiology, Department of Medicine; Taipei Veterans General Hospital; Taipei Taiwan
- Faculty of Medicine, School of Medicine; National Yang-Ming University; Taipei Taiwan
| | - Fa-Po Chung
- Division of Cardiology, Department of Medicine; Taipei Veterans General Hospital; Taipei Taiwan
- Faculty of Medicine, School of Medicine; National Yang-Ming University; Taipei Taiwan
| | - Jo-Nan Liao
- Division of Cardiology, Department of Medicine; Taipei Veterans General Hospital; Taipei Taiwan
- Faculty of Medicine, School of Medicine; National Yang-Ming University; Taipei Taiwan
| | - Abigail Louise D. Te
- Division of Cardiology, Department of Medicine; Taipei Veterans General Hospital; Taipei Taiwan
- Faculty of Medicine, School of Medicine; National Yang-Ming University; Taipei Taiwan
| | - Chi-Ying F. Huang
- Institute of Biopharmaceutical Sciences; National Yang-Ming University; Taipei Taiwan
- Department of Biochemistry, College of Medicine; Kaohsiung Medical University; Kaohsiung 807 Taiwan
| | - Shih-Ann Chen
- Division of Cardiology, Department of Medicine; Taipei Veterans General Hospital; Taipei Taiwan
- Faculty of Medicine, School of Medicine; National Yang-Ming University; Taipei Taiwan
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62
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Wolf JM, Simon D, Béria JU, Tietzmann DC, Stein AT, Lunge VR. Analysis of the Association of Nonsynonymous Polymorphisms in ADH Genes with Hazardous Drinking in HIV-1-Positive Individuals. Alcohol Clin Exp Res 2017; 41:1866-1874. [PMID: 28833276 DOI: 10.1111/acer.13486] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2017] [Accepted: 08/16/2017] [Indexed: 12/16/2022]
Abstract
BACKGROUND Hazardous drinking (HD) is a serious health problem in people infected with human immunodeficiency virus type 1 (HIV-1). Single nucleotide polymorphisms (SNPs) in alcohol dehydrogenase (ADH) genes have been associated with HD in different populations, but there were no data about this in HIV-1-positive individuals. This study investigated the association of 4 nonsynonymous SNPs in ADH genes (Arg48His and Arg370Cys in ADH1B gene; Arg272Gln and Ile350Val in ADH1C gene) with HD in people living with HIV-1. METHODS This case-control study included 365 HIV-1-positive individuals (121 with HD and 244 without HD). Sociodemographic variables were collected with a standardized individual questionnaire. HD (score ≥8) and binge drinking (BD) (drinks on the same occasion ≥5) were detected with the Alcohol Use Disorders Identification Test. The 4 SNPs were genotyped by the polymerase chain reaction-restriction fragment length polymorphism method. Adjusted odds ratios (aORs) and 95% confidence intervals (CIs) were calculated using logistic regression analysis. The Bonferroni correction was used (considering the 4 SNPs studied). RESULTS There were no significant differences in the frequencies of Arg370Cys, Arg272Gln, and Ile350Val polymorphisms between HD cases and controls. Otherwise, Arg/His genotype (rs1229984) in ADH1B gene showed a protective effect against HD (aOR = 0.36; 95% CI: 0.14 to 0.90) and BD (aOR = 0.49; 95% CI: 0.21 to 0.95). Nevertheless, these differences were no longer significant after Bonferroni correction. CONCLUSIONS The results of this study suggest a possible effect of the Arg48His genotype on the protection against HD in HIV-1-positive individuals.
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Affiliation(s)
- Jonas Michel Wolf
- Laboratório de Diagnóstico Molecular , Universidade Luterana do Brasil (ULBRA), Canoas, Brazil.,Programa de Pós-Graduação em Biologia Celular e Molecular Aplicada à Saúde , Universidade Luterana do Brasil (ULBRA), Canoas, Brazil
| | - Daniel Simon
- Programa de Pós-Graduação em Biologia Celular e Molecular Aplicada à Saúde , Universidade Luterana do Brasil (ULBRA), Canoas, Brazil
| | | | | | - Airton Tetelbom Stein
- Fundação Universidade Federal de Ciências da Saúde de Porto Alegre (UFCSPA) , Porto Alegre, Brazil
| | - Vagner Ricardo Lunge
- Laboratório de Diagnóstico Molecular , Universidade Luterana do Brasil (ULBRA), Canoas, Brazil.,Programa de Pós-Graduação em Biologia Celular e Molecular Aplicada à Saúde , Universidade Luterana do Brasil (ULBRA), Canoas, Brazil
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63
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Treutlein J, Frank J, Streit F, Reinbold CS, Juraeva D, Degenhardt F, Rietschel L, Witt SH, Forstner AJ, Ridinger M, Strohmaier J, Wodarz N, Dukal H, Foo JC, Hoffmann P, Herms S, Heilmann-Heimbach S, Soyka M, Maier W, Gaebel W, Dahmen N, Scherbaum N, Müller-Myhsok B, Lucae S, Ising M, Stickel F, Berg T, Roggenbuck U, Jöckel KH, Scholz H, Zimmermann US, Buch S, Sommer WH, Spanagel R, Brors B, Cichon S, Mann K, Kiefer F, Hampe J, Rosendahl J, Nöthen MM, Rietschel M. Genetic Contribution to Alcohol Dependence: Investigation of a Heterogeneous German Sample of Individuals with Alcohol Dependence, Chronic Alcoholic Pancreatitis, and Alcohol-Related Cirrhosis. Genes (Basel) 2017; 8:E183. [PMID: 28714907 PMCID: PMC5541316 DOI: 10.3390/genes8070183] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2017] [Accepted: 07/11/2017] [Indexed: 01/14/2023] Open
Abstract
The present study investigated the genetic contribution to alcohol dependence (AD) using genome-wide association data from three German samples. These comprised patients with: (i) AD; (ii) chronic alcoholic pancreatitis (ACP); and (iii) alcohol-related liver cirrhosis (ALC). Single marker, gene-based, and pathway analyses were conducted. A significant association was detected for the ADH1B locus in a gene-based approach (puncorrected = 1.2 × 10-6; pcorrected = 0.020). This was driven by the AD subsample. No association with ADH1B was found in the combined ACP + ALC sample. On first inspection, this seems surprising, since ADH1B is a robustly replicated risk gene for AD and may therefore be expected to be associated also with subgroups of AD patients. The negative finding in the ACP + ALC sample, however, may reflect genetic stratification as well as random fluctuation of allele frequencies in the cases and controls, demonstrating the importance of large samples in which the phenotype is well assessed.
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Affiliation(s)
- Jens Treutlein
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, 68159 Mannheim, Germany.
| | - Josef Frank
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, 68159 Mannheim, Germany.
| | - Fabian Streit
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, 68159 Mannheim, Germany.
| | - Céline S Reinbold
- Human Genomics Research Group, Department of Biomedicine, University and University Hospital Basel, 4031 Basel, Switzerland.
- Institute of Medical Genetics and Pathology, University Hospital Basel, 4031 Basel, Switzerland.
| | - Dilafruz Juraeva
- Division of Applied Bioinformatics (G200), German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany.
| | - Franziska Degenhardt
- Institute of Human Genetics, University of Bonn, 53127 Bonn, Germany.
- Department of Genomics, Life & Brain Center, University of Bonn, 53127 Bonn, Germany.
| | - Liz Rietschel
- University Hospital of Child and Adolescent Psychiatry and Psychotherapy, University of Bern, 3000 Bern 60, Switzerland.
| | - Stephanie H Witt
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, 68159 Mannheim, Germany.
| | - Andreas J Forstner
- Human Genomics Research Group, Department of Biomedicine, University and University Hospital Basel, 4031 Basel, Switzerland.
- Institute of Medical Genetics and Pathology, University Hospital Basel, 4031 Basel, Switzerland.
- Institute of Human Genetics, University of Bonn, 53127 Bonn, Germany.
- Department of Genomics, Life & Brain Center, University of Bonn, 53127 Bonn, Germany.
- Department of Psychiatry (U.P.K.), University of Basel, CH-4002 Basel, Switzerland.
| | - Monika Ridinger
- Department of Psychiatry and Psychotherapy, University of Regensburg, 93053 Regensburg, Germany.
- Psychiatric Health Care Aargau, 5210 Windisch, Switzerland.
| | - Jana Strohmaier
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, 68159 Mannheim, Germany.
| | - Norbert Wodarz
- Department of Psychiatry and Psychotherapy, University of Regensburg, 93053 Regensburg, Germany.
| | - Helene Dukal
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, 68159 Mannheim, Germany.
| | - Jerome C Foo
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, 68159 Mannheim, Germany.
| | - Per Hoffmann
- Human Genomics Research Group, Department of Biomedicine, University and University Hospital Basel, 4031 Basel, Switzerland.
- Institute of Medical Genetics and Pathology, University Hospital Basel, 4031 Basel, Switzerland.
- Institute of Human Genetics, University of Bonn, 53127 Bonn, Germany.
- Department of Genomics, Life & Brain Center, University of Bonn, 53127 Bonn, Germany.
| | - Stefan Herms
- Human Genomics Research Group, Department of Biomedicine, University and University Hospital Basel, 4031 Basel, Switzerland.
- Institute of Medical Genetics and Pathology, University Hospital Basel, 4031 Basel, Switzerland.
- Institute of Human Genetics, University of Bonn, 53127 Bonn, Germany.
- Department of Genomics, Life & Brain Center, University of Bonn, 53127 Bonn, Germany.
| | - Stefanie Heilmann-Heimbach
- Institute of Human Genetics, University of Bonn, 53127 Bonn, Germany.
- Department of Genomics, Life & Brain Center, University of Bonn, 53127 Bonn, Germany.
| | - Michael Soyka
- Private Hospital Meiringen, 3860 Meiringen, Switzerland.
- Psychiatric Hospital, Ludwig Maximilians University, 80336 Munich, Germany.
| | - Wolfgang Maier
- Department of Psychiatry, University of Bonn, 53105 Bonn, Germany.
| | - Wolfgang Gaebel
- Department of Psychiatry and Psychotherapy, University of Düsseldorf, 40629 Düsseldorf, Germany.
| | - Norbert Dahmen
- Department of Psychiatry, University of Mainz, 55131 Mainz, Germany.
| | - Norbert Scherbaum
- LVR-Hospital Essen, Department of Psychiatry and Psychotherapy, Medical Faculty, University of Duisburg-Essen, 45147 Essen, Germany.
| | - Bertram Müller-Myhsok
- Department of Statistical Genetics, Max-Planck-Institute of Psychiatry, 80804 Munich, Germany.
| | - Susanne Lucae
- Department of Psychiatric Pharmacogenetics, Max-Planck-Institute of Psychiatry, 80804 Munich, Germany.
| | - Marcus Ising
- Department of Molecular Psychology, Max-Planck-Institute of Psychiatry, 80804 Munich, Germany.
| | - Felix Stickel
- Department of Gastroenterology and Hepatology, University Hospital of Zurich, 8091 Zurich, Switzerland.
- Hirslanden Private Hospital, 8032 Hirslanden Zürich, Switzerland.
| | - Thomas Berg
- Section of Hepatology, University Hospital Leipzig, 04103 Leipzig, Germany.
| | - Ulla Roggenbuck
- Institute for Medical Informatics, Biometry, and Epidemiology, University Hospital of Essen, 45122 Essen, Germany.
| | - Karl-Heinz Jöckel
- Institute for Medical Informatics, Biometry, and Epidemiology, University Hospital of Essen, 45122 Essen, Germany.
| | - Henrike Scholz
- Department of Animal Physiology, University of Cologne, 50674 Cologne, Germany.
| | - Ulrich S Zimmermann
- Department of Psychiatry and Psychotherapy, University Hospital Carl Gustav Carus, Dresden Technical University, 01307 Dresden, Germany.
| | - Stephan Buch
- Medical Department 1, University Hospital Dresden, TU Dresden, 01307 Dresden, Germany.
| | - Wolfgang H Sommer
- Institute of Psychopharmacology, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, 68159 Mannheim, Germany.
- Department of Addictive Behavior and Addiction Medicine, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, 68159 Mannheim, Germany.
| | - Rainer Spanagel
- Institute of Psychopharmacology, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, 68159 Mannheim, Germany.
| | - Benedikt Brors
- Division of Applied Bioinformatics (G200), German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany.
| | - Sven Cichon
- Human Genomics Research Group, Department of Biomedicine, University and University Hospital Basel, 4031 Basel, Switzerland.
- Institute of Medical Genetics and Pathology, University Hospital Basel, 4031 Basel, Switzerland.
| | - Karl Mann
- Department of Addictive Behavior and Addiction Medicine, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, 68159 Mannheim, Germany.
| | - Falk Kiefer
- Department of Addictive Behavior and Addiction Medicine, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, 68159 Mannheim, Germany.
| | - Jochen Hampe
- Medical Department 1, University Hospital Dresden, TU Dresden, 01307 Dresden, Germany.
| | - Jonas Rosendahl
- Department of Internal Medicine I, Martin Luther University Halle, 06120 Halle (Saale), Germany.
| | - Markus M Nöthen
- Institute of Human Genetics, University of Bonn, 53127 Bonn, Germany.
- Department of Genomics, Life & Brain Center, University of Bonn, 53127 Bonn, Germany.
| | - Marcella Rietschel
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, 68159 Mannheim, Germany.
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Gutierrez Najera NA, Resendis-Antonio O, Nicolini H. "Gestaltomics": Systems Biology Schemes for the Study of Neuropsychiatric Diseases. Front Physiol 2017; 8:286. [PMID: 28536537 PMCID: PMC5422874 DOI: 10.3389/fphys.2017.00286] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2016] [Accepted: 04/19/2017] [Indexed: 01/28/2023] Open
Abstract
The integration of different sources of biological information about what defines a behavioral phenotype is difficult to unify in an entity that reflects the arithmetic sum of its individual parts. In this sense, the challenge of Systems Biology for understanding the “psychiatric phenotype” is to provide an improved vision of the shape of the phenotype as it is visualized by “Gestalt” psychology, whose fundamental axiom is that the observed phenotype (behavior or mental disorder) will be the result of the integrative composition of every part. Therefore, we propose the term “Gestaltomics” as a term from Systems Biology to integrate data coming from different sources of information (such as the genome, transcriptome, proteome, epigenome, metabolome, phenome, and microbiome). In addition to this biological complexity, the mind is integrated through multiple brain functions that receive and process complex information through channels and perception networks (i.e., sight, ear, smell, memory, and attention) that in turn are programmed by genes and influenced by environmental processes (epigenetic). Today, the approach of medical research in human diseases is to isolate one disease for study; however, the presence of an additional disease (co-morbidity) or more than one disease (multimorbidity) adds complexity to the study of these conditions. This review will present the challenge of integrating psychiatric disorders at different levels of information (Gestaltomics). The implications of increasing the level of complexity, for example, studying the co-morbidity with another disease such as cancer, will also be discussed.
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Affiliation(s)
| | - Osbaldo Resendis-Antonio
- Instituto Nacional de Medicina GenómicaMexico City, Mexico.,Human Systems Biology Laboratory, Coordinación de la Investigación Científica - Red de Apoyo a la Investigación, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, National Autonomous University of Mexico (UNAM)Mexico City, Mexico
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