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Characterization of polymorphisms of genes ADH2, ADH3, ALDH2 and CYP2E1 and relationship to the alcoholism in a Colombian population/Caracterizacion de polimorfismos de los genes ADH2, ADH3, ALDH2 y CYP2E1 y su relacion con el alcoholismo en una poblacion colombiana.


Excessive alcohol consumption is one of the public health problems of greater magnitude relative to psychoactive legal use, being a problematic global threatening both individual development, family life and social life of a person. It is estimated that worldwide about 2,600 million people consume alcohol either occasionally, habitual, abusive or addictive; every year 2.5 million people die from alcohol-related causes (1).

Individuals who start early drug abuse constitute the group most at risk of developing an addiction. If predisposition could recognize at an early stage by means of a genetic profile could be directed toward prevention intervention in this population and even in later stages could propose alternative psychic or drug treatment according to genetic profile and/or patterns particular gene expression.

Alcohol is primarily metabolised in the liver through various metabolic pathways in which involving oxidative and no oxidative reactions. The main ethanol biotransformation reaction is catalysed by alcohol dehydrogenase (ADH) and is performed in the cytoplasm, where this enzyme oxidises the ethanol producing acetaldehyde, which in turn is oxidized by the enzyme aldehyde dehydrogenase (ALDH) to acetate. The second way of metabolism of ethanol is called ethanol inducible, a microsomal system called microsomal-ethanol oxidizing-system (MEOS), the major enzyme of this pathway is a cytochrome P4502E1 (CYP2E1), and it shows low affinity for ethanol compared with ADH and is responsible for a small amount (10%) of ethanol oxidation to acetaldehyde after alcohol intake moderate. It postulated that variations in genes of these enzymes may influence alcohol consumption, tissue damage related to the consumption and dependence (2).

The variation in alcohol elimination and the oxidation of acetaldehyde, genetically determined alcohol dehydrogenase 1-3 (before named ADH1A, ADH1B and ADH1C) and aldehyde dehydrogenase (ALDH2) plays a major role in the pathogenesis of the clinical syndrome. High concentrations of acetaldehyde in blood lead to unpleasant reactions such as flushing, tachycardia, nausea and others when drinking alcohol (3,4).

It has found three allelic variants of ADH2 locus (ADH1B): ADHB*1 wild allele with G located in exon 3 that codes for an protein subunit containing in the position 48 is an arginine (CGC); ADH1B*2 allele variant in which G changes to A replacing arginine in position 48 by a histidine (CAC) and finally ADH1B*3 allele is a variant that codes for a protein subunit in which changes an arginine for cysteine at position 369. Above variants of ADH1B (ADH2) encode subunits 01, 02 and 03 respectively. The product of allele ADH1B*2 contains an atypical 02 subunit with catalytic activity oxidation of ethanol 100 times greater than the product of ADH1B*1 allele. ADH1B*3 is found in populations African origin (20%), and rare in others. In both 02 and 03 subunits, substitution occurs in amino acid that makes contact with the coenzyme NAD+, giving that result a 70-80 times increase in the rate of enzyme yield compared with the 01 subunit because the coenzyme is rapidly released at the end of the reaction. Both [beta]2[beta]2 and [beta]3[beta]3 show speeds of ethanol oxidation 30-40 times greater than [beta]1[beta]1 (4).

In exon 8 of the gene ADH1C is located allele wild ADH1C*1 (A) that codes for a protein subunit that position 350 has an isoleucine (ATT), the presence of a ADH1C*2 polymorphism known in which there is a change an A/G, leads to a substitution in the protein subunit isoleucine 350 by a valine (GTT). The subunit [gamma]1 encoded by ADH1C*1 was characterized by a maximum speed twice than [gamma]2 subunit encoded by ADH1C*2. The allele encoding protein ADH1C*1 is found in 90% of world population, while ADH1C*2 predominant in about 70% of the population of Far East. The allele ADH1C*1 predominates in Asian and African people by 90% while the allele frequency in Caucasians is 50% (5).

A substitution G/A in gene ALDH2 generates atypical allele ALDH2*2 that codifies a protein in which glutamic acid of position 504 is replaced by lysine. Allele ALDH2*2 codifies for an enzyme with Km low for NAD+ and a Vmax reduced compared with the enzyme type wild giving as result a catalytic activity loss or null (6,7). The frequency of allele ALDH2*2 it finds around a 40% in the populations of the far east of Asia and is less frequent in alcoholic than in the controls of different studies (8).

In the gene CYP2E1 one of the polymorphisms more studied is transition C/T which presence alters the transcriptional activity of the gene because it's located in the 5' region regulator of the transcription (9). Some studies have suggested the allele c2 (CYP2E1*5B) is associated to transcriptional activity of the gene up to 10 times superior to the common allele c1 (CYP2E1*5A). This polymorphism is characterized by the loss of the site of cuts for the enzyme of restriction Rsal GTAC/GTAT when the allele behaves c210. The frequency of the allele c2 is markedly low in Caucasian and black populations of the United States of North America (1-5%) compared with the Asians (25%) (3). The genic variants homozygotes for ADH2*2, ADH3*1 and CYP2RB digested by Rsal c2 are isoforms with great activity enzymatic, whereas polymorphism ALDH2*2 is one isoform with loss or null activity, this suggests one modulation of the metabolism of the ethanol and acetaldehyde that they influence in the pharmacokinetics of the alcohol consumption that it takes to a possible protection or predisposition to the alcoholism in some populations like for example those of the Far Asia, Mexican, Israelite Asquenazi, Sefardites and Russian immigrants (3). The objective of the present study was to identify and to characterize the polymorphisms of the genes of the alcohol dehydrogenase, aldehyde dehydrogenase and the cytochrome p450 2E1 in a population of residents in Bogota and to determine its possible relation with the alcoholism.

Material and Methods


The sample size was calculated using EpiInfo[R] program (unpaired case-control), with a value of 0.05, and 95% confidence interval OR. To set the frequency the results of a study by Konishi et al., was taken as basis, study with Mexico-American men (3).

Initially the study was proposed as a comparative study between two populations, sporadic alcohol consumption (controls) and alcoholics (cases). The participants of the study were 291 subjects living in Bogota city. The 65 subjects belong to rehabilitation's foundations which previously had been diagnosed like poliaddicts by medical staff at each foundation, where the consumption problematic of alcohol was it first addiction which we call alcoholics. Were used the DSM-IV criteria for the definition of problem drinking. The other 226 participants were from colleges, universities and companies who helped us kindly. To all of them were applied questionnaire Alcohol Use Disorders Identification Test (AUDIT) like classification instrument (11). Of which 148 were classified like sporadic alcohol consumers (controls) and 78 of the possible controls had higher values at 8 in the AUDIT test and were grouped as problematic alcohol users (PAC, a third group).

The inclusion criteria were as follows: unrelated, first substance dependence was to alcohol, ability to give consent and signed consent forms. The exclusion criteria were as follows: hepatitis B and C, mood disorders and first substance dependence other than alcohol. Likewise all participants in the study answered a semi-structured interview of personal information as age, age of first consumption, family history, use of other psychoactive substances, type and quantity of beverage per day, health status and consumption habits. There were no dropouts in the study.

Blood samples

The DNA was obtained from cells of peripheral blood. Blood samples were collected in 5 mL tubes with EDTA anticoagulant. 300 [micro]L were spotted on filter paper (Whatman 3MM CHR) for further processing. DNA from some of the samples was obtained according to the HotSHOT technique (Hot Sodium Hydroxide and Tris). In the Laboratory of Human Genetics of the Institute of Genetics of National University of Colombia the remaining sample was put under the process of DNA extraction for which use kit commercial (Kit Clean DNA Blood Isolation Kit Catalogue no. 12000-100 Mo-Bio).


The genotypes for the Alcohol dehydrogenase (ADH2, ADH3) and Aldehyde dehydrogenase (ALDH2) were determined through a collaborative study with The Indiana Alcohol Research Centre (ARC) of the Medicine Department of the University of Indiana using the TaqMan tests (Applied BioSystems, Foster City, CA). Each test contains two noticeable different TaqMan soundings with VIC or FAM like fluorescent markers which are united of preferential way to one or the other allele. Each reaction contains 5 [micro]L of Universal Mastermix TaqMan 2X, 3.75 [micro]L of water, 0.25 [micro]L of Assay Mix 40X and 1 [micro]L of sample. Controls were including in first positions of 96 wells plate: 2 negative controls, 2 or 3 samples of heterozygotes genotypes and 2 or 3 samples of each one of the homozygotes genotypes. Was used the termociclator MJ Research PTC-200. The products of PCR were analyzed in the System of Detection of Sequence (SDS-ABI PRISM[R] 7300) (12).

The genotypification of gene CYP2E1 was carried out in Laboratory of Human Genetics of the Institute of Genetics of Universidad Nacional de Colombia. The amplification of gene CYP2E1 work to a volume of 25 [micro]L that contains 200 ng of genomic DNA, Buffer 1X, 200 pM of each dNTP, 2.5 mm Mg[Cl.sub.2], 1.0 Unit of Taq polymerase and 10 picomol of each primer (Foward: 5'-AACCAATGACTTGCTTATGT-3' and Revers: 5'-CTTTCATGTATTAAGCATTTTCT-3'). Conditions of termocycling 1 cycle (95[degrees]C by 5 min.), 35 cycles (95[degrees]C by 5 s, 50.5[degrees]C by 30 s, 72[degrees]C by 1 min.), 1 cycle (72[degrees]C by 7 min, 4[degrees]C). The amplified ones were separated in 2% of agarose. Was used the Marker of weight (GeneRuler[TM] 100 bp DNA Ladder, You ferment). These PCR products were digested with the RsaI enzyme (Fermentas and Invitrogen) under the following conditions: 6 [micro]L of the mixture of PCR, 9.0 [micro]L of molecular grade water, 1.0 [micro]L of assay buffer 10X, 1.0 RsaI enzyme. The digestion was carried out during 3 h to 37[degrees]C. The enzyme was inactivated by incubation to 80[degrees]C by 20 min. The fragments were visualized in a gel of 3% of agarose. The presence of WT allele generate the site of cuts for this enzyme (GTAC), giving like result two bands, one of the 218 bp and other of 175 bp. When the allele loses the restriction site was observed a band of 393 bp.

Statistical analysis

For the estimation of the allelic and genotypic frequencies of the genes of enzymes alcohol dehydrogenase, aldehyde dehydrogenase and the cytochrome p450 2E1 were used the program of genetic data analyses GENEPOP[R] version 3.413. The relation of genotype and allelic frequencies was evaluated using a test of [chi square] and a value for p <0.05 was considered like statistically significant. The p value is from the chi-square or Fisher's exact test.


Age, years of first use of alcohol, family history and use of other psychoactive substances are presented in Table 1. The bigger percentage of the control population as the alcoholics were in ages within the 18-39 that is equivalent to a 78% of the total population. Significant difference (p <0.05) was found in family history of alcoholism and use of other psychoactive substances. Additionally individuals were discriminated by gender and AUDIT score.

Participants completed a survey whose results are summarized below. As far as the familiar antecedents the 96% of women with alcoholism and 97% of the alcoholism's men report to have some relative with problems of alcoholism (p <0.05), for both cases more related father and uncle. To the question about the consumption of other psychoactive substances 83% of women with alcoholism and 75% of men with alcoholism responded affirmatively (p= <0.05). The desired substances more for the alcoholic group are the marijuana, cocaine, crack, cigarette, pills and poppers. The age of onset of alcohol consumption is similar in all groups being slightly younger the onset of alcoholic men and women.

The allelic and genotypic frequencies of genes encoding ADH2, ADH3, ALDH2 and CYP2E1 in subjects with alcoholism, consumption problematic of alcohol (PAC) and control subjects are shown in Tables 2, 3, 4 and 5. In the group of alcoholics and in the group of problematic alcohol consumption compared to controls none of the observed differences reached statistical significance. When the study subjects were categorized according to their gender, the distribution of the genotypes and allele frequency did not differ significantly in both men and women (alcoholics vs controls) (Tables 4 and 5). However when allelic frequencies for each category (gender) were considered, frequency of A2 allele carriers in ADH2 was found higher in male patients than controls (6.9% vs. 12.2%; p= 0.1571) (Table 5). In women, the relative frequency for c1 allele in CYP2E1 were 89.3 and 97.9% for controls and alcoholics respectively (p= 0.067) (Table 4). None of the observed differences reached statistical significance. Individuals who's the group presented an AUDIT score between 20-40 (PAC) showed none significant differences in gene frequencies for all loci compared with the group with a non-problematic use of alcohol (controls). However when compared with the group of alcoholics can be seen close to the significant differences in the genes ADH2 and CYP2E1 (Table 3).

The genotype A1A1 and allele frequencies A1-100% for the ALDH2 gene show that the population is monomorphic for this marker. Our population has no protective allele, i.e. it is has the risk allele. The allele and genotype frequencies were in HWE for all SNP's and groups, except in the latter gene.


The studies of alcoholism are important to facilitate the implementation of strategies of public policies focused on prevention, early diagnosis, and treatment with more efficient therapies. In this study, we analyzed the association of some polymorphisms of ADH2, ADH3, ALDH2 and CYP4502E1 genes with AD in Colombian population resident in Bogota city.

The genotypic and allelic frequencies found in alcoholics and controls are similar to that of ethnically and culturally close groups reported in other studies14-20. Significant differences were not demonstrated in allelic nor genotypic frequencies between these two unstratified groups for none of the four alleles. However we find that men with A2 allele of ADH2 and female subjects with cl allele of CYP2E1 had a higher frequency in alcoholics compared to the controls. However, this association was not significantly high. Although the sample size was large enough to demonstrate a significant association, it seems that after stratification of participants the size became relatively small which resulted in such inconclusive results.

As in other disorders of conduct, the dependency is inherited polygenetically and each gene only explains a small percentage of the variance. This suggests that to have a predisposition allele it does not imply an elevated risk; the majority of the carriers cannot express the upheaval (21,22). It has been reported that the presence of homozygote genotypes for alleles ADH2*1 and ADH2*2 in individuals which are also carry of genotype ALDH2 1/1 exhibit a very little increase of acetaldehyde in blood after the ingestion of 0.3-0.5 g/Kg of alcohol, this sample that the acetaldehyde cannot be involved in protection against the alcoholism in individuals with polymorphisms ADH2. In Asian countries it has been reported that the risk of alcoholism with ADH2 [beta]2[beta]2 and ALDH2 2/2 is 100 times more under which in individuals with ADH2 [beta]1[beta]1 and ALDH2 1/13.

The product of allele ADH1B*2 contains a subunit [beta]2 atypical with a catalytic activity of oxidation of the ethanol 100 times greater than the product of allele ADH1B*1 (4) these findings suggest individual them with consumption no problematic of alcohol without familiar antecedents they could tender oxidise the alcohol slowly whereas individuals with no problematic alcohol consumption with familiar antecedents would tend to oxidise the alcohol more quickly. It has been reported that in white subjects, high levels of acetaldehyde and reddening have been found in individuals with positive familiar history for alcoholism that stops those that presents negative familiar history stops alcoholism (23).

In the group of alcoholic's men and women appeared differences near the significance for locus ADH2 and CYP2E1, specifically in the frequencies of allele c2 (CYP2E1*5B) which is associated to a transcriptional activity of the gene up to 10 times superior to the common allele cl (CYP2E1*5A) that as well it relates at the risk of dependency (24,25). The increase of acetaldehyde could stimulate the presence of adverse effects in the individual inducing to stop the alcohol consumption.

In the present study, the combination of genotypes ADH2, CYP2E1 and ALDH2 could be taking to population to a possible risk, since presenting alleles whose presence allows a rate of greater oxidation (ADH2*2, CYP2E1*1) combined with the genotype homozygote ALDH2*1 would increase the rates of explanation of the alcohol and acetaldehyde giving as result a greater tolerance to the consumption of great amounts of alcohol being this a risk factor to develop a dependency. Added previous the survey it showed that those people who also present a problematic alcohol consumption show a greater tendency to consume another type of psychoactive substances (p [less than or equal to] 0.0001). The alcohol dependence frequently coexists with other addictions, in which includes the substance abuse, dependence nicotine, combined with psychiatric illness among those include depression, anxiety, antisocial personality, behaviour disorders among others. Similarly the positive association between family history of alcoholism and alcoholism (p [less than or equal to] 0.0001) is clear, suggesting that there is a favourable hereditary predisposition.

The different gene association studies and alcoholism in the world have yielded conflicting results, our study was no exception. In addition, Colombian population was originated from the admixture of Spaniard colonists, African slaves and aboriginal populations, mainly during the XVI-XVIII Centuries. This admixture had different proportions in space and time, which made current Colombian population very heterogeneous, even among the accepted five geographic sub-regions and the city of Bogota has been the epicenter of the meeting of these regions (26). Probably these conflicting results are occurring because failures in the study design, the variability in the selection of alcoholics, the nature of the controls, indicating the need for further studies to be replicated and correlated, especially in different ethnic groups.

It is noteworthy that is recommended to expand the number of individuals, besides linking a larger number of participants different regions of Colombia in order to corroborate findings from this study and to estimate potential deference by place of origin and combine the study of biochemical tests that establish physiological reactions to corroborate the genetic findings. These markers of ethanol metabolism may be useful in addition to other markers of other routes such as those related to neuronal level rewards. For this reason it was decided to investigate other genes that could be related to alcohol addiction in Colombia, as are the mechanisms involved common neurobiological psychiatric illnesses and use other psychoactive substances, in which systems are serotonergic, gabaergic and dopaminergic among others (27).


This study allows us to conclude the positive association between family history of alcoholism and alcoholism (p [less than or equal to] 0.0001) is clear, suggesting that there is a favourable hereditary predisposition. Since substance dependence requires interaction of multiple genes, the combination of genotypes ADH2*2, CYP2E1*1 combined with genotype homozygous ALDH2*1 found in this study could be leading to the population to a potential risk, given that the alleles present in our population whose presence allows a higher oxidation rate, increase clearance rates alcohol and acetaldehyde, resulting in greater tolerance to the consumption of large quantities of alcohol being this is a risk factor for developing a dependency to alcohol.

Article history:

Received: 24 July 2014

Revised: 14 October 2015

Accepted: 09 November 2015


To the Foundations El Pacto, Cotecol, La Luz, to the Group of Alcoholic Anonymous, To the Students of Medicine and Anthropology of National University of Colombia, To the School Admiral Padilla, To the Regional Academic gymnasium, To the University Antonio Narino, to Company of monitoring VISE Ltda.


To Tiebing Liang and Graves Tamy from Indiana University, USA. To Medical Faculty of National University of Colombia for financial support of this project (code 8540).

Conflict of interest:

Authors not present conflicts of interest


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Claudia Mendez, Mauricio Rey

Clinical Genetic Group, Facultad de Medicina, Instituto de Genetica, Maestria en genetica Humana, Universidad Nacional de Colombia, Bogota, Colombia.

Corresponding author:

Mauricio Rey. Department of Medicine, National University of Colombia, Entrance Calle 53, building 426, Institute of Genetics. Bogota, Colombia. Phone. 571-316-5000; E-mail:
Table 1. Distribution of individual characteristics of the sample


                 Controls *      Alcoholics *      95% CI       P

Age (yrs)      27.7 [+ or -]    32.8 [+ or -]    -9.905 to    0.0378
                    9.4              1.5           -0.295
Age of first   19.6 [+ or -]    18.3 [+ or -]    -3.132 to    0.5612
  use(yrs)          10.2             6.1           5.732


                 Controls *      Alcoholics *      95% CI      P **

Age (yrs)      31.0 [+ or -]    38.0 [+ or -]    -11.522 to   0.0027
                    11.6             13.0          -2.478
Age of first   18.3 [+ or -]    16.5 [+ or -]    -0.548 to    0.1317
  use(yrs)          8.9              6.6           4.148

                   %      %                %      %

Family history    38.0   96.0   <0.0001   26.4   97.0   <0.0001
  of alcoholism
Use of other      11.5   83.0   <0.0001   15.0   75.6   <0.0001

* mean/standard deviation

** p-value from the independent t-test

Table 2. Allelic and genotypic frequencies of four
alleles in subjects alcoholics (n = 65) and with no
problematic alcohol consumption (Controls, n = 148).

Group                    Genotypic ([double dagger])

              * 1/* 1     * 1/* 2       P      * 2/* 2


Controls    83.8 (124)   15.5 (23)            0.68 (1)
Alcoholics   77.0 (50)   23.0 (15)   0.4943      0 (0)


Controls     53.0 (78)   39.0 (58)            8.0 (12)
Alcoholics   49.0 (32)   43.0 (28)   0.8676    8.0 (5)


Controls     100 (296)           0                   0
Alcoholics    10 (130)           0       **          0


Controls    83.1 (123)   16.9 (25)               0 (0)
Alcoholics   87.7 (57)    12.3 (8)   0.5184      0 (0)

Group       Gene ([double dagger])

                * 1         * 2         P


Controls    91.6 (271)    8.4 (25)
Alcoholics  88.5 (115)   11.5 (15)   0.3137


Controls    72.3 (214)   27.7 (82)
Alcoholics   70.8 (92)   29.2 (38)   0.7470


Controls     100 (296)           0
Alcoholics   100 (130)           0       **


Controls    91.5 (271)    8.5 (25)
Alcoholics  93.8 (122)     6.2 (8)   0.4151

([double dagger]) %(n): percentage (number)

** Without value

Table 3. Gene and genotypic frequencies of four alleles in
the group with PAC classified with AUDIT score the 20-40
(n = 78) compared with no problematic alcohol consumption
(Controls, n = 148) and alcoholics (n = 65).

Group                  Genotypic ([double dagger])

                 *1/*1        *1/*2      *2/*2       p

  Controls     83.8 (124)   15.5 (23)   0.68 (1)   0.6531
  PAC          88.5 (69)    10.3 (8)    1.2 (1)    0.1906
  Alcoholics   77.0 (50)    23.0 (15)    0 (0)
  Controls     52.7 (78)    39.2 (58)   8.1 (12)   0.8873
  PAC          52.5 (41)    41.0 (32)   6.4 (5)    0.9066
  Alcoholics   49.2 (32)    43.1 (28)   7.7 (5)
  Controls     100 (148)        0          0         **
  PAC           100 (78)        0          0         **
  Alcoholics   100 (130)        0          0
  Controls     83.0 (123)   17.0 (25)      0       0.7987
  PAC          81.0 (63)    19.0 (15)      0       0.3716
  Alcoholics   87.7 (57)    12.3 (8)       0

Group               Gene ([double dagger])

                   *1          *2         p

  Controls     91.5 (271)   8.5 (25)    0.4522
  PAC          93.6 (146)   6.4 (10)    0.1300
  Alcoholics   88.5 (115)   11.5 (15)
  Controls     72.3 (214)   27.7 (82)   0.8602
  PAC          73.1 (114)   26.9 (42)   0.6654
  Alcoholics   70.7 (92)    29.3 (38)
  Controls     100 (296)        0         **
  PAC          100 (156)        0         **
  Alcoholics   100 (130)        0
  Controls     92.0 (271)   8.0 (25)    0.6774
  PAC          90.0 (141)   10.0 (15)   0.2837
  Alcoholics   93.8(122)     6.2 (8)

PAC: problematic alcohol consumption

([double dagger]) %(n) = percentage(number)

** Without value

Table 4. Gene and genotypic frequencies of four alleles
in the group of women with originating problematic alcohol
consumption of Institutions (alcoholics, n = 24) and the
group with no problematic alcohol consumption
(controls, n = 61).

Group                Genotypic ([double dagger])

                *1/*1       *1/*2      *2/*2       p

  Alcoholic   79.2 (19)   20.8 (5)     0 (0)     0.8869
  Controls    80.4 (49)   18.0 (11)    16 (1)
  Alcoholic   54.2 (13)   41.6 (10)   4.2 (1)    0.7089
  Controls    52.5 (32)   34.4 (21)   13.1 (8)
  Alcoholic   100 (48)        0          0         **
  Controls    100 (122)       0          0
  Alcoholic   95.8 (23)    4.2 (1)       0       0.1110
  Controls    78.7 (48)   21.3 (13)      0

Group               Gene ([double dagger])

                 *1           *2         p

  Alcoholic   89.6 (43)    10.4 (5)    0.9600
  Controls    89.3 (109)   10.7 (13)
  Alcoholic   75.0 (36)    25.0 (12)   0.4897
  Controls    69.7 (85)    30.3 (37)
  Alcoholic    100 (96)        0         **
  Controls    100 (244)        0
  Alcoholic   97.9 (47)     2.1 (1)    0.6700
  Controls    89.3 (109)   10.6 (13)

([double dagger]) %(n): percentage (number)

** Without value

Table 5. Gene and genotypic frequencies of four alleles
in the group of men with alcoholism (n = 41) and the
group with No alcohol consumption problems (Controls,
n = 87). (* no value, n = number of people)

Group                 Genotypic ([double dagger])

             * 1/* 1     * 1/* 2    * 2/* 2         P

Alcoholic   75.6 (31)   24.4 (10)            0
Controls    86.2 (75)   13.8 (12)            0   0.2180
Alcoholic   46.3 (19)   43.9 (18)   9.8(4)
Controls    52.9 (46)   42.5 (37)   4.6(4)       0.4884
Alcoholic    100 (41)           0            0
Controls     100 (87)           0            0       **
Alcoholic   82.9 (34)    17.1 (7)            0
Controls    86.2 (75)   13.8 (12)            0   0.8231

Group              Gene ([double dagger])

                * 1         * 2          P

Alcoholic    87.8 (72)   12.2 (10)
Controls    93.1 (162)    6.9 (12)      0.1581
Alcoholic    68.3 (56)   31.7 (26)
Controls    74.1 (129)   25.9 (45)      0.3297
Alcoholic     100 (82)           0
Controls     100 (174)           0          **
Alcoholic    91.5 (75)     8.5 (7)
Controls    93.1 (162)    6.9 (12)      0.8248

([double dagger]) %(n): percentage (number)

** Without value
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Title Annotation:Original Article
Author:Mendez, Claudia; Rey, Mauricio
Publication:Colombia Medica
Date:Oct 1, 2015
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