Predicting addiction Organizador grafico

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PREDICTING ADDICTION

Outline

 Predicting Addiction

1. La hija del senador George McGroven murió por exceso de alcohol fuera de un bar

a) tuvo una vida de lucha de su adicción al alcohol

b) empezó a beber a los 13 años, se embarazo a los 15, experimento con marihuana y LSD en secundaria

c) estuvo en muchos programas de tratamiento y más de 60 desintoxicaciones

d) la adicción puede ser pensada como una enfermedad crónica

e) advertir a los jóvenes sobre los peligros de la adicción lleva poca fuerza cuando los adultos bebe sin consecuencias aparentes

Minnesota Twins

2. Estudios de gemelos son particularmente útiles para el análisis de los orígenes de una conducta como la adicción

a) MCTFR ha estudiado la salud y el desarrollo de los gemelos desde la pre-adolescencia, atreves de la adolescencia y en edad adulta

b) monocigoticos o gemelos idénticos, y los dicigoticos que solo tienen en promedio la mitad de sus genes

c) la adicción puede ser uno de los muchos comportamientos relacionados que se derivan de la misma raíz genética

d) lo que se pasa de padres a hijos es una tendencia hacia un grupo de comportamientos

Markers of risk

Personality

3. Ciertos rasgos de personalidad distinguen entre los adictos y no adictos

a) los adictos tienden a ser mas impulsivos, rebeldes, y se aburren fácilmente

b) son mas propensos a cuestionar la autoridad

c) las impresiones a sus 11 años de edad fueron que tendrían problemas de alcoholismo a los 16

d) de acuerdo a un estudio por Robert Cloninger, niños impulsivos, desordenados, distraídos eran casi 20 veces mas probables de tener problemas con el alcohol en el futuro que niños que no presentaban estos rasgos

Family background

4. Tener un padre con un trastorno de abuso de sustancias es otro predictor establecido de la adicción a futuro de un niño

a) más de 24 bebidas en 24 horas coloca a sus hijos en una categoría especialmente arriesgada de posible adicción

b) si el padre no ha tenido éxito en la reducción del consumo del alcohol

c) si ha afectado por su forma de beber a la familia y al trabajo son predicciones de adicción al menor

d) en nuestra sociedad los episodios de consumo excesivo de alcohol, de ser capaz de “sostener su licor”, a veces son fuente de orgullo masculino

Brainwaves

5.  Un tercer factor de predicción viene directamente del cerebro mismo

a) mediante el uso de electrodos para detectar las señales eléctricas de grupos de neuronas

b) el complejo de ondas cerebrales, el tamaño relativo de un pico denominado P300, indica riesgo de adicción

c) tener un P300 menor a los 17 años predice el desarrollo de un problema de alcohol o drogas

d) la naturaleza fisiológica de P300 hace que sea un marcador especialmente interesante ya que puede proceder de genes de adicción

Precocious experimentation

6.  Los jóvenes en riesgo se distinguen por la temprana edad a la que primero tratan alcohol sin permiso de los padres

a) es relativamente inusual probar el alcohol antes de la edad de 15

b) de 2600 padres, solo el 12 por ciento de las madres y el 22 por ciento de los padres probaron el alcohol antes de los 15

c) el consumo a una edad temprana a menudo ocurre con el sexo, el consumo de tabaco y drogas ilícitas

d) esta experimentación precoz indica que el individuo a heredado la personalidad impulsiva que eleva el riesgo de adicción

A general inherited risk

7. El riesgo de adicción es fuertemente heredable

a) en la infancia los rasgos de de externalizacion incluyen hiperactividad y la conducta antisocial

b) en la edad adulta las tendencias de externalizacion pueden dar lugar a una personalidad marcada, abuso de drogas o alcohol, anarquía y agresión

c) una inclinación genética para la externalizacion puede llevar a la adicción, la hiperactividad, la criminalidad, etc.

d) el consumo del alcohol antes de los 15 años de edad no se limita a predecir futuros problemas de alcohol y drogas, sino también el futuro comportamiento antisocial

The role of the environment

8. los rasgos con fuerte componente genético pueden estar influidos por factores ambientales

a) la influencia genética es la observación repetida de que los niños que crecen con un montón de libros en su casa tienden a mejorar en la escuela

b) los padres tienden a proporcionar entornos que complementan los genotipos de sus hijos

c) los padres con problemas de adicción tienden a a proporcionar una vulnerabilidad genética, con un hogar en el que el alcohol o las drogas están disponibles y abusar de ellos es normal

d) las malas relaciones entre padres e hijos ejercen influencias ambientales que promueven el uso de sustancias y las conductas de externalizacion  durante la adolescencia temprana

e) dentro de las ciudades de 10000 o más los genes influyen sustancialmente que los adolescentes usan sustancias ilícitas

f) los entornos urbanos permiten una expresión más completa de los rasgos que interviene la genética

The future of addiction research

9. Genes influyen en el comportamiento y la importancia relativa de un solo gen pueden diferir entre las poblaciones étnicas o radicales

a) la adicción y el alcoholismo de algunas personas puede ser mas ambiental que de origen genético

b) un gen que codifica una enzima que metabolizan neurotransmisor, la monoaminooxidasa A o MAOA

c) el gen asociado con altos niveles de MAOA era protectora de esos hombres que eran menos propensos a mostrar comportamientos antisociales después de maltrato infantil que en el grupo de bajo MAOA

d) hay una superposición genética entre el alcoholismo, la farmacodependencia y comportamiento antisocial, en lugar de simplemente alcohólicos

Much left to learn

10. Aunque los datos MCTFR han resuelto algunas cuestiones relacionados con la adicción, muchos otros permanecen

a) algunas evidencias sugieren que los genes juegan un papel menor en la adicción de inicio tardío, los marcadores de riesgo pueden variar

b) los genes más relevantes no son específicos para el alcoholismo o drogodependencia

c) los mismos genes predisponen a un conjunto de la superposición de los trastornos dentro del espectro de externalizacion

d) el ADN puede empujar a alguien en una cierta dirección, pero no obligarnos a ir

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Predicting Addiction

Behavioral genetics uses twins and time to decipher the origins of addiction and learn who is most vulnerable

Lisa Legrand, William Iacono, Matt McGue

In 1994, the 45-year-old daughter of Senator and former presidential nominee George McGovern froze to death outside a bar in Madison, Wisconsin. Terry McGovern's death followed a night of heavy drinking and a lifetime of battling alcohol addiction. The Senator's middle child had been talented and charismatic, but also rebellious. She started drinking at 13, became pregnant at 15 and experimented with marijuana and LSD in high school. She was sober during much of her 30s but eventually relapsed. By the time she died, Terry had been through many treatment programs and more than 60 detoxifications.

Her story is not unique. Even with strong family support, failure to overcome an addiction is common. Success rates vary by treatment type, severity of the condition and the criteria for success. But typically, fewer than a third of alcoholics are recovered a year or two after treatment. Thus, addiction may be thought of as a chronic, relapsing illness. Like other serious psychiatric conditions, it can cause a lifetime of recurrent episodes and treatments.

Given these somber prospects, the best strategy for fighting addiction may be to prevent it in the first place. But warning young people about the dangers of addiction carries little force when many adults drink openly without apparent consequences. Would specific warnings for individuals with a strong genetic vulnerability to alcoholism be more effective? Senator McGovern became convinced that his daughter possessed such a vulnerability, as other family members also struggled with dependency. Perhaps Terry would have taken a different approach to alcohol, or avoided it altogether, if she had known that something about her biology made drinking particularly dangerous for her.

How can we identify people—at a young enough age to intervene—who have a high, inherent risk of becoming addicted? Does unusual susceptibility arise from differences at the biochemical level? And what social or environmental factors might tip the scales for kids at greatest risk? That is, what kind of parenting, or peer group, or neighborhood conditions might encourage—or inhibit—the expression of "addiction" genes? These questions are the focus of our research.

Minnesota Twins

We have been able to answer some of these questions by examining the life histories of almost 1,400 pairs of twins. Our study of addictive behavior is part of a larger project, the Minnesota Center for Twin Family Research (MCTFR), which has studied the health and development of twins from their pre-teen years through adolescence and into adulthood. Beginning at age 11 (or 17 for a second group), the participants and their parents cooperated with a barrage of questionnaires, interviews, brainwave analyses and blood tests every three years. The twin cohorts are now 23 and 29, respectively, so we have been able to observe them as children before exposure to addictive substances, as teenagers who were often experimenting and as young adults who had passed through the stage of greatest risk for addiction.

Studies of twins are particularly useful for analyzing the origins of a behavior like addiction. Our twin pairs have grown up in the same family environment but have different degrees of genetic similarity. Monozygotic or identical twins have identical genes, but dizygotic or fraternal twins share on average only half of their segregating genes. If the two types of twins are equally similar for a trait, we know that genes are unimportant for that trait. But when monozygotic twins are more similar than dizygotic twins, we conclude that genes have an effect.

This article reviews some of what we know about the development of addiction, including some recent findings from the MCTFR about early substance abuse. Several established markers can predict later addiction and, together with recent research, suggest a provocative conclusion: that addiction may be only one of many related behaviors that stem from the same genetic root. In other words, much of the heritable risk may be nonspecific. Instead, what is passed from parent to child is a tendency toward a group of behaviors, of which addiction is only one of several possible outcomes.

Markers of Risk

Personality. Psychologists can distinguish at-risk youth by their personality, family history, brainwave patterns and behavior. For example, certain personality traits do not distribute equally among addicts and nonaddicts: The addiction-vulnerable tend to be more impulsive, unruly and easily bored. They're generally outgoing, sociable, expressive and rebellious, and they enjoy taking risks. They are more likely to question authority and challenge tradition.

Some addicts defy these categories, and having a certain personality type doesn't doom one to addiction. But such traits do place individuals at elevated risk. For reasons not completely understood, they accompany addiction much more frequently than the traits of being shy, cautious and conventional.  

Although these characteristics do not directly cause addiction, neither are they simply the consequences of addiction. In fact, teachers' impressions of their 11-year-old students predicted alcohol problems 16 years later, according to a Swedish study led by C. Robert Cloninger (now at Washington University in St. Louis). Boys low in "harm avoidance" (ones who lacked fear and inhibition) and high in "novelty seeking" (in other words, impulsive, disorderly, easily bored and distracted) were almost 20 times more likely to have future alcohol problems than boys without these traits. Other studies of children in separate countries at different ages confirm that personality is predictive.

Family Background. Having a parent with a substance-abuse disorder is another established predictor of a child's future addiction. One recent and intriguing discovery from the MCTFR is that assessing this risk can be surprisingly straightforward, particularly for alcoholism. The father's answer to "What is the largest amount of alcohol you ever consumed in a 24-hour period?" is highly informative: The greater the amount, the greater his children's risk. More than 24 drinks in 24 hours places his children in an especially risky category.

How can one simple question be so predictive? Its answer is laden with information, including tolerance—the ability, typically developed over many drinking episodes, to consume larger quantities of alcohol before becoming intoxicated—and the loss of control that mark problematic drinking. It is also possible that a father who equivocates on other questions that can formally diagnose alcoholism—such as whether he has been unsuccessful at cutting down on his drinking or whether his drinking has affected family and work—may give a frank answer to this question. In our society, episodes of binge drinking, of being able to "hold your liquor," are sometimes a source of male pride.

Brainwaves. A third predictor comes directly from the brain itself. By using scalp electrodes to detect the electrical signals of groups of neurons, we can record characteristic patterns of brain activity generated by specific visual stimuli. In the complex squiggle of evoked brainwaves, the relative size of one peak, called P300, indicates addiction risk. Having a smaller P300 at age 17 predicts the development of an alcohol or drug problem by age 20. Prior differences in consumption don't explain this observation, as the reduced-amplitude P300 (P3-AR) is not a consequence of alcohol or drug ingestion. Rather, genes strongly influence this trait: P3-AR is often detectable in the children of fathers with substance-use disorders even before these problems emerge in the offspring. The physiological nature of P300 makes it an especially interesting marker, as it may originate from "addiction" genes more directly than any behavior.

Precocious Experimentation. Lastly, at-risk youth are distinguished by the young age at which they first try alcohol without parental permission. Although the vast majority of people try alcohol at some point during their life, it's relatively unusual to try alcohol before the age of 15. In the MCTFR sample of over 2,600 parents who had tried alcohol, only 12 percent of the mothers and 22 percent of the fathers did so before the age of 15. In this subset, 52 percent of the men and 25 percent of the women were alcoholics. For parents who first tried alcohol after age 19, the comparable rates were 13 percent and 2 percent, respectively. So, what distinguishes alcoholism risk is not whether a person tries alcohol during their teen years, but when they try it.

In light of these data, we cannot regard very early experimentation with alcohol as simply a normal rite of passage. Moreover, drinking at a young age often co-occurs with sex, the use of tobacco and illicit drugs, and rule-breaking behaviors. This precocious experimentation could indicate that the individual has inherited the type of freewheeling, impulsive personality that elevates the risk of addiction. But early experimentation may be a problem all by itself. It, and the behaviors that tend to co-occur with it, decrease the likelihood of sobriety-encouraging experiences and increase the chances of mixing with troubled peers and clashing with authority figures.

A General, Inherited Risk

Some of these hallmarks of risk are unsurprising. Most people know that addiction runs in families, and they may intuit that certain brain functions could differ in addiction-prone individuals. But how can people's gregariousness or their loathing of dull tasks or the age at which they first had sex show a vulnerability to addiction? The answer seems to be that although addiction risk is strongly heritable, the inheritance is fairly nonspecific. The inherited risk corresponds to a certain temperament or disposition that goes along with so-called externalizing tendencies. Addiction is only one of several ways this disposition may be expressed.  

Externalizing behaviors include substance abuse, but also "acting out" and other indicators of behavioral undercontrol or disinhibition. In childhood, externalizing traits include hyperactivity, "oppositionality" (negative and defiant behavior) and antisocial behavior, which breaks institutional and social rules. An antisocial child may lie, get in fights, steal, vandalize or skip school. In adulthood, externalizing tendencies may lead to a personality marked by low constraint, drug or alcohol abuse, and antisocial behaviors, including irresponsibility, dishonesty, impulsivity, lawlessness and aggression. Antisociality, like most traits, falls on a continuum. A moderately antisocial person may never intentionally hurt someone, but he might make impulsive decisions, take physical and financial risks or shirk responsibility.

It's worth reiterating that an externalizing disposition simply increases the risk of demonstrating problematic behavior. An individual with such  tendencies could express them in ways that are not harmful to themselves and actually help society: Fire fighters, rescue workers, test pilots, surgeons and entrepreneurs are often gregarious, relatively uninhibited sensation-seekers—that is, moderate externalizers.

So a genetic inclination for externalizing can lead to addiction, hyperactivity, acting-out behavior, criminality, a sensation-seeking personality or all of these things. Although the contents of this list may seem haphazard, psychologists combine them into a single group because they all stem from the same latent factor. Latent factors are hypothesized constructs that help explain the observed correlations between various traits or behaviors.

For example, grades in school generally correlate with one another. People who do well in English tend to get good marks in art history, algebra and geology. Why? Because academic ability affects grades, regardless of the subject matter. In statistical lingo, academic ability is the "general, latent factor" and the course grades are the "observed indicators" of that factor. Academic ability is latent because it is not directly measured; rather, the statistician concludes that it exists and causes the grades to vary systematically between people.

Statistical analyses consistently show that externalizing is a general, latent factor—a common denominator—for a suite of behaviors that includes addiction. Furthermore, the various markers of risk support this conclusion: Childhood characteristics that indicate later problems with alcohol also point to the full spectrum of externalizing behaviors and traits. Thus, drinking alcohol before 15 doesn't just predict future alcohol and drug problems, but also future antisocial behavior. A parent with a history of excessive binge drinking is apt to have children not only with substance-use problems, but with behavioral problems as well. And a reduced-amplitude P300 not only appears in children with a familial risk for alcoholism, but in kids with a familial risk for hyperactivity, antisocial behavior or illicit drug disorders.

The associations between externalizing behaviors aren't surprising to clinicians. Comorbidity—the increased chance of having other disorders if you have one of them—is the norm, not the exception, for individuals and families. A father with a cocaine habit is more likely to find that his daughter is getting into trouble for stealing or breaking school rules. At first glance, the child's behavioral problems look like products of the stress, conflict and dysfunction that go with having an addict in the family. These are certainly aggravating factors. However, the familial and genetically informative MCTFR data have allowed us to piece together a more precise explanation.

Environment has a strong influence on a child's behavior—living with an addict is rife with challenges—but genes also play a substantial role. Estimates of the genetic effect on externalizing behaviors vary by indicator and age, but among older adolescents and adults, well over half of the differences between people's externalizing tendencies result from inheriting different genes.

Our analysis of the MCTFR data indicates that children inherit the general, latent factor of externalizing rather than specific behavioral factors. Thus, an -antisocial mother does not pass on genes that code simply for antisocial behavior, but they do confer vulnerability to a range of adolescent disorders and behaviors. Instead of encounters with the law, her adolescent son may have problems with alcohol or drugs. The outcomes are different, but the same genes—expressed differently under different environmental conditions—predispose them both.

The Role of the Environment

Even traits with a strong genetic component may be influenced by environmental factors. Monozygotic twins exemplify this principle. Despite their matching DNA, their height, need for glasses, disease susceptibility or personality (just to name a few) may differ.

When one member of a monozygotic pair is alcoholic, the likelihood of alcoholism in the other is only about 50 percent. The high heritability of externalizing behaviors suggests that the second twin, if not alcoholic, may be antisocial or dependent on another substance. But sometimes the second twin is problem free. DNA is never destiny.

Behavioral geneticists have worked to quantify the role of the environment in addiction, but as a group we have done much less to specify it. Although we know that 50 percent of the variance in alcohol dependence comes from the environment, we are still in the early stages of determining what those environmental factors are. This ignorance may seem surprising, as scientists have spent decades identifying the environmental precursors to addiction and antisocial behavior. But only a small percentage of that research incorporated genetic controls.

Instead, many studies simply related environmental variation to children's eventual problems or accomplishments. A classic example of this failure to consider genetic influence is the repeated observation that children who grow up with lots of books in their home tend to do better in school. But concluding that books create an academic child assumes (falsely) that children are born randomly into families—that parent-child resemblance is purely social. Of course, parents actually contribute to their children's environment and their genes. Moreover, parents tend to provide environments that complement their children's genotypes: Smart parents often deliver both "smart" genes and an enriched environment. Athletic parents usually provide "athletic" genes and many opportunities to express them. And, unfortunately, parents with addiction problems tend to provide a genetic vulnerability coupled with a home in which alcohol or drugs are available and abusing them is normal.

To understand the true experiential origins of a behavior, one must first disentangle the influence of genes. By using genetically informative samples, we can subtract genetic influences and conclude with greater confidence that a particular environmental factor affects behavior. Using this approach, our data suggest that deviant peers and poor parent-child relationships exert true environmental influences that promote substance use and externalizing behaviors during early adolescence.

When considering the effect of environment on behavior, or any complex trait, it's helpful to imagine a continuum of liability. Inherited vulnerability determines where a person begins on the continuum (high versus low risk). From that point, psychosocial or environmental stressors such as peer pressure or excessive conflict with parents can push an individual along the continuum and over a disease threshold.

However, sometimes the environment actually modifies gene expression. In other words, the relative influence of genes on a behavior can vary by setting. We see this context-dependent gene expression in recent, unpublished work comparing study participants from rural areas (population less than 10,000) with those from more urban settings. Within cities of 10,000 or more, genes substantially influence which adolescents use illicit substances or show other aspects of the externalizing continuum—just as earlier research indicated. But in very rural areas, environmental (rather than genetic) factors overwhelmingly account for differences in externalizing behavior.

One way to interpret this finding is that urban environments, with their wider variety of social niches, allow for a more complete expression of genetically influenced traits. Whether a person's genes nudge her to substance use and rule-breaking, or abstinence and obedience, the city may offer more opportunities to follow those urges. At the same time, finite social prospects in the country may allow more rural parents to monitor and control their adolescents' activities and peer-group selection, thereby minimizing the impact of genes. This rural-urban difference is especially interesting because it represents a gene-by-environment interaction. The genes that are important determinants of behavior in one group of people are just not as important in another.

The Future of Addiction Research

This complex interplay of genes and environments makes progress slow. But investigators have the data and statistical tools to answer many important addiction-related questions. Moreover, the tempo of discovery will increase with advances in molecular genetics.

In the last fifteen years, geneticists have identified a handful of specific genes related to alcohol metabolism and synapse function that occur more often in alcoholics. But the task of accumulating the entire list of contributing genes is daunting. Many genes influence behavior, and the relative importance of a single gene may differ across ethnic or racial populations. As a result, alcoholism-associated genes in one population may not exert a measurable influence in a different group, even in well-controlled studies. There are also different pathways to addiction, and some people's alcoholism may be more environmental than genetic in origin. Consequently, not only is any one gene apt to have small effects on behavior, but that gene may be absent in a substantial number of addicts.

Nonetheless, some day scientists should be able to estimate risk by reading the sequence of a person's DNA. Setting aside the possibility of a futuristic dystopia, this advance will usher in a new type of psychology. Investigators will be able to observe those individuals with especially high (or low) genetic risks for externalizing as they respond, over a lifetime, to different types of environmental stressors.

This type of research is already beginning. Avshalom Caspi, now at the University of Wisconsin, and his colleagues divided a large group of males from New Zealand based on the expression level of a gene that encodes a neurotransmitter-metabolizing enzyme, monoamine oxidase A or MAOA. In combination with the life histories of these men, the investigators demonstrated that the consequences of an abusive home varied by genotype. The gene associated with high levels of MAOA was protective—those men were less likely to show antisocial behaviors after childhood maltreatment than the low-MAOA group.

Further advances in molecular genetics will bring opportunities for more studies of this type. When investigators can accurately rank experimental participants by their genetic liability to externalizing, they will gain insight into the complexities of gene-environment interplay and answer several intriguing questions: What type of family environments are most at-risk children born into? When children with different genetic risks grow up in the same family, do they create unique environments by seeking distinct friends and experiences? Do they elicit different parenting styles from the same parents? Could a low-risk sibling keep a high-risk child from trouble if they share a close friendship? Is one type of psychosocial stressor more apt to lead to substance use while another leads to antisocial behavior?

Molecular genetics will eventually deepen our understanding of the biochemistry and biosocial genesis of addiction. In the interim, quantitative geneticists such as ourselves continue to characterize the development of behavior in ways that will assist molecular geneticists in their work. For example, if there is genetic overlap between alcoholism, drug dependence and antisocial behavior—as the MCTFR data suggest—then it may help to examine extreme externalizers, rather than simply alcoholics, when searching for the genes that produce alcoholism vulnerability.

Much Left to Learn

Although the MCTFR data have resolved some addiction-related questions, many others remain, and our team has just begun to scratch the surface of possible research. Our work with teenagers indicates that externalizing is a key factor in early-onset substance-use problems, but the path to later-life addiction may be distinct. Some evidence suggests that genes play a lesser role in later-onset addiction. Moreover, the markers of risk may vary. Being prone to worry, becoming upset easily and tending toward negative moods may, with age, become more important indicators. We don't yet know. However, the MCTFR continues to gather information about its participants as they approach their 30s, and we hope to keep following this group into their 40s and beyond.

Meanwhile, the evidence suggests that for early-onset addiction, most relevant genes are not specific to alcoholism or drug dependence. Instead, the same genes predispose an overlapping set of disorders within the externalizing spectrum. This conclusion has significant implications for prevention: Some impulsive risk-takers, frequent rule-breakers and oppositional children may be just as much at risk as early users.

At the same time, many kids with a genetic risk for externalizing don't seem to require any sort of special intervention; as it is, they turn out just fine. DNA may nudge someone in a certain direction, but it doesn't force them to go there.