What does it mean to say that heritability of height is 90 percent what does that tell us about the contribution of genetics to any one persons height?

Temperament: Familial Analysis and Genetic Aspects

J.B. Asendorpf, in International Encyclopedia of the Social & Behavioral Sciences, 2001

5 Misinterpretations of Heritability Estimates

Often heritability estimates are misinterpreted as general estimates of ‘the’ genetic effect on temperament. In contrast, it was pointed out above that heritability estimates depend on (a) the specific temperamental trait, (b) the population of interest, (c) the historical period in its cultural development, and (d) the age of the participants. Another serious misinterpretation is the assumption that genetic effects on temperament can be altered only by changing the genes themselves through gene technology. This widely shared view is not correct because genes and environmental influences often interact in affecting personality. For example, the effects of pathological alleles such as the one that causes phenylketonuria can be minimized through environmental intervention (in this case: keeping a particular diet in the first years of life; see Plomin et al. 1997). Although the alleles that are relevant for temperament-related traits are as yet largely unknown, it is possible that their effects on temperament might be modifiable through diet, medication, specific parenting, or education. Heritability does not necessarily imply non-modifiability.

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Genetic Factors in Cognition/Intelligence

S.A. Petrill, in International Encyclopedia of the Social & Behavioral Sciences, 2001

3.2 The Environment Is Also Important

A significant heritability estimate, genetic correlation, or DNA marker associated with intelligence does not mean that intelligence cannot be modified by the environment. For one, the environment is an important determinant of individual differences in intelligence, especially in childhood (the heritability of intelligence is roughly 40 percent, which means that the other 60 percent has to be due to nongenetic influences). More importantly, although heritability describes why individuals differ within a group, it does not examine average increases in ability or average differences in ability between groups. Although genetic influences account for 90 percent of the individual differences in height, for example, the height of the average person has increased, presumably due to an average improvement in the environment. Similarly, although the heritability of IQ has remained stable across the 80+years that twin studies have been conducted, the measures used to measure IQ have been restandardized numerous times. The average IQ, although set to be 100 on a particular test, increases over time. Put another way, if a random sample of children in 1999 were given an intelligence test standardized in 1920, the average IQ would be significantly greater than 100 (Flynn 1998). Thus, behavioral genetic methods tell us ‘what is’ for a specific population at a specific time, not ‘what will be’ or ‘what should be’ (Plomin and Petrill 1997).

In fact, some of the most important discoveries about the relationship between the environment and intelligence have come through behavioral genetic research. As stated earlier, behavioral genetics separates the environment into that which is shared by family members and that which is not shared by family members. Thus, behavioral genetic methods allow the examination of environmental effects that operate between families (shared environment), and environmental effects that operate within families (nonshared environment). The same behavioral genetic studies that suggest increasing heritability and high genetic correlations also suggest that the most pervasive environmental influences across the lifespan are nonshared. In other words, the most important environmental effects are those that make family members different from one another. Behavioral genetic studies are currently attempting to identify these nonshared environmental influences.

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Neuroticism

D. Watson, in International Encyclopedia of the Social & Behavioral Sciences, 2001

1.2 Origins and Course of the Trait

The genetic basis of neuroticism has been extensively investigated (Clark and Watson 1999). Heritability estimates based on twin studies typically fall in the 0.40 to 0.60 range, with a median value of approximately 0.50 (see Behavioral Genetics: Psychological Perspectives). It also should be noted, however, that heritability estimates decline significantly with age and are consistently lower in older respondents. The remaining variance can be attributed entirely to the unshared environment; indeed, the evidence overwhelmingly suggests that the common rearing environment (i.e., the effects of living together in the same household) exerts virtually no effect on the development of this trait. The nature of this genetic component has not yet been clearly established. The current thinking in the field, however, is that it gives rise to individual differences in sensitivity to painful, punishing, and stressful stimuli; that is, high scorers on the trait are innately disposed to show stronger adverse reactions to noxious and threatening stimuli. In support of this view, studies have shown that neurotic individuals report larger increases in negative emotion in response to unpleasant mood inductions. In light of this evidence, it is not surprising that neuroticism scores are strongly stable over time (see Clark and Watson 1999). Stability correlations typically fall in the 0.70 to 0.80 range over retest intervals of five to 10 years. Stability coefficients still exceed 0.60 over much longer time spans; Helson and Klohnen (1998), for instance, obtained a 25-year stability correlation of 0.65 in women assessed at ages 27 and 52. However, this stability is superimposed on a significant age-related decline (see Personality Development in Adulthood). Specifically, neuroticism scores peak in late adolescence and then begin a long, slow decline that continues at least into middle adulthood (Clark and Watson 1999, Helson and Klohnen 1998). After that, the evidence is less clear, but it appears that scores on the trait stabilize and show no further change. There also is a modest sex difference, with women scoring slightly higher on the trait than men (see Gender Differences in Personality and Social Behavior).

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Sexual Preference: Genetic Aspects

K. Reinhold, in International Encyclopedia of the Social & Behavioral Sciences, 2001

4.2 Empirical Evidence for Genetic Variance among Males

There is ample evidence for genetic variance in male signaling traits and in attractiveness: crosses between populations that differ in the male signaling trait show that the difference is inherited; heritability estimates from father-son comparisons show that genetic variation exists even within populations and artificial selection experiments have proven that sexually selected male traits can evolve quickly. Despite strong sexual selection on male signaling traits, sexually selected traits generally seem to have heritabilities that are as large as the values for traits that are assumed to be only under weak selection (Pomiankowski and Møller 1995). The deviation from the theoretical expectation is even more impressive when one compares the additive genetic variance (another measure for genetic variance that does not depend on the extent of environmental influence on the trait under consideration) between sexually selected traits and traits that are assumed to be not under sexual selection. Sexually selected traits have significantly larger additive genetic variance than other traits, showing that the existing genetic variation is sufficient for both indirect sexual selection models.

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Developmental Behavioral Genetics and Education

P. Borkenau, in International Encyclopedia of the Social & Behavioral Sciences, 2001

2.1 Heritability Estimates and Age

Loehlin's (1989) estimates for IQ were inferred from a meta-analysis of diverse studies that tested participants at various ages, whereas more fine-grained analyses show that heritability estimates depend on age: In a meta-analysis of 103 cross-sectional twin studies, McCartney et al. (1990) focused on relations between twin age and twin similarity. Whereas older MZ twins were more similar in IQ than younger MZ twins, the opposite was found for DZ twins. This suggests that genes become more influential whereas shared environment becomes less influential across the life span.

This finding is confirmed by longitudinal twin and adoption studies: The Louisville Twin Study followed the cognitive development of MZ and DZ twins from 3 months to 15 years. Whereas the correlations between MZ twins increased from r=0.66 to r=0.88, the correlations between DZ twins decreased from r=0.67 to r=0.54, suggesting growing genetic and diminishing environmental influence from infancy to adolescence (Wilson 1983). In the longitudinal Colorado Adoption Project (Plomin et al. 1997b), the IQ correlation between adoptive parents and their adopted children dropped from r=0.20 at age 3 years to r=0.00 in adolescence, suggesting weak and diminishing shared environmental influence. In contrast, the IQ correlation between biological parents and their own children in control families rose from 0.17 at age 3 years to 0.30 at age 16 years, suggesting narrow-sense heritabilities of 0.60 in adolescence.

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Intelligence, Genetics of: Heritability and Causation

S.P. Otto, in International Encyclopedia of the Social & Behavioral Sciences, 2001

3.2 Heritability Estimates

Bouchard and McGue (1981) summarized a large number of studies measuring the correlations between relatives in IQ scores (Table 2). Heritabilities have been estimated from these data using different models and different subsets of the data (Table 3). The heritability estimates described in Table 3 have an extremely broad range, from 0.26 to 0.72 (out of a maximum range of 0 to 1). Although a large number of models appear to be included in Table 3, most of these models share several assumptions. Consequently, the range of heritability estimates is even smaller than would be seen if models based on completely different sets of assumptions were included. For example, all estimates except the first one based on identical twins raised apart (rMZA) ignore epistasis. Genetic interactions are difficult to include in models because the forms of these interactions are generally not known. Without this knowledge, one cannot accurately predict correlations among relatives, just as one cannot accurately predict the winnings of the poker hands in Fig. 2 without knowing the rules of poker. Furthermore, all models ignore GxE interactions. Finally, even those models that include cultural inheritance cannot capture the intricate and diverse ways in which social structures influence IQ and the many ways in which family members can influence one another's social context.

Table 2. Familial correlations in IQ from Bouchard and McGue (1981)

RelationshipSymbolNumber of pairsCorrelation
Spouses M 3817 0.33
MZ twins (together) rMZT 4672 0.86
MZ twins (raised apart) rMZA 65 0.72
DZ twins (together) rDZT 5546 0.60
Sibs (together) rSST 26473 0.47
Sibs (raised apart) rSSA 203 0.24
Offspring–parent rOPT 8433 0.42
Offspring–midparent rOMT 992 0.50
Offspring–parent apart rOPA 814 0.22
Foster offspring–parent rFOP 1397 0.19
Foster offspring–midparent rFOM 758 0.24
Midoffspring–midparent rMMT 410 0.72
Adopted/biological sibs rSFB 345 0.29
Adopted/adopted sibs rSFF 369 0.34
Half-sibs rHSS 200 0.31
Cousins rCZ1 1176 0.15

Table 3. Heritability estimates based on correlations in IQ between relativesa (see Table 2)

EstimatorEstimateSimple expectationAssumptions
Estimates of broad-sense heritability
rMZA 0.72 (VA+VD)/VP (D, E, Fb, G; requires A, B to estimate h2)
Estimates mixing broad-sense and narrow-sense heritability
2 (rMZT–rDZT) 0.52 VA+3/2VD/VP (B, C, F; requires A to estimate h2)
2 rSSA 0.48 VA+1/2VD/VP (B, C, D, E, Fb,G; requires A to estimate h2)
2 (rSST–rSFF) 0.26 VA+1/2VD/VP (B, C, D, F; requires A to estimate h2)
Estimates of narrow-sense heritability
2 rOPA 0.44 VA/VP (B, C, D, E, Fb)
2 (rOPT–rFOP) 0.46 VA/VP (B, C, D, E, Fb)
DP model 0.29 VA/VP (A, B, D)
IP model 0.33 VA/VP (A, B, D)
IS model 0.42 VA/VP (A, B, D)
Devlin modelc 0.34 VA/VP (B, F)

aThe first six estimates are described in Plomin and Loehlin (1989). The next three estimates are based on different published models of cultural and genetic inheritance with assortative mating from the analysis of Otto et al. (1994). The DP model assumes direct cultural transmission of IQ with assortative mating based on IQ (Cavalli-Sforza and Feldman 1978, Feldman and Cavalli-Sforza 1979, Martin et al. 1986). The IP model assumes indirect cultural transmission of IQ through social factors (e.g., socio-economic status) with assortative mating based on IQ (Cloninger et al. 1979a, 1979b, Feldman and Cavalli-Sforza 1979, Rice et al. 1978). The IS model assumes indirect cultural transmission of IQ through social factors and assortative mating based on social grouping (Morton and Rao 1978, Rao et al. 1976, 1979). The last estimate is from Devlin et al. (1997a), which uses a model that includes maternal effects and other pre-separation influences on siblings and twins. ‘Simple expectation’ is the value for the estimators under the restrictive genetic model described in Table 1. Assumptions made by the estimators include: (A) no dominance, (B) no epistasis, (C) no assortative mating, (D) no pre-separation effects on adopted offspring, (E) no correlation between biological and adoptive environments, (F) no cultural inheritance, (G) no allowance for siblings experiencing common environments (e.g., same schools).bCultural inheritance would affect the phenotypic variance in a way that is not accounted for in these estimates based on offspring raised apart (Otto et al. 1994).cDevlin et al. (1997b) examined a slightly different data set, which excludes the last five rows in Table 2.

There is no consensus about the most accurate value for heritability. There are essentially two camps: those who argue that heritability lies between 0.5 and 0.8; and those who argue that heritability lies between 0.2 and 0.5. The first camp tends to focus on estimates based on twins, especially identical twins raised apart. Such estimates include dominance and epistatic interactions to some extent and therefore tend to measure broad-sense heritability. The correlation in IQ between identical twins raised apart is indeed high (0.72), but there are several nongenetic reasons to expect that identical twins raised apart may be similar. Twins raised apart tend to be placed in similar homes (Bouchard et al. 1990). They also have a certain amount of contact before and after separation (Bouchard et al. 1990). In particular, twins share the same womb and environmental influences during gestation, including any maternal effects (Devlin et al. 1997b). Furthermore, strikingly similar twins may be more easily recognized as identical twins raised apart and may be more likely to enter twin studies. The second camp, which argues for a low heritability of IQ, tends to use a wider variety of familial correlations and more explicit models. Such models have incorporated inheritance of social and cultural influences, similarities among parents (assortative mating), selective placement of adopted children, and/or maternal effects. Although narrow-sense heritability is most often reported in these expanded studies, the difference between broad-sense and narrow-sense heritability is often small when it is measured. For example, Devlin et al. (1997a) estimate a narrow-sense heritability for IQ of 34 percent and a broad-sense heritability of 48 percent. Heritability estimates are sensitive enough to the assumptions made to warrant skepticism towards any particular value.

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Obesity, Determinants of: Genetic Aspects

G.A. Bray, C. Bouchard, in International Encyclopedia of the Social & Behavioral Sciences, 2001

3 Evidence from Genetic Epidemiology

In a report published by the Carnegie Institute of Washington in 1923, C. B. Davenport (Davenport 1923) described the first comprehensive attempt to understand the role of inheritance in human body mass for stature. His study demonstrated quite convincingly that body mass index (BMI) values were more similar among family members than among unrelated persons. However, he noted that normal weight parents sometimes have obese adult offspring. He also observed the converse: obese parents frequently have normal weight adult descendants. Thus, the genetics of human obesity is likely to be complicated.

Since Davenport's report, the literature on genetics and obesity has expanded and deepened as a variety of new approaches have come to the fore. The Danish Adoption Registry Study, the Veterans Administration Twins Study, the Quebec Family Study, and several other studies were instrumental in reawakening interest in this problem. An overview of some of these genetic epidemiologic data is presented below.

3.1 Heritability Levels

The level of heritability has been considered in a large number of twin, adoption, and family studies. The level of heritability is simply the fraction of the population variation in a trait (e.g., BMI) that can be explained by genetic transmission. Such studies use a variety of procedures to control or take into account age and sex differences. Results obtained by a good number of investigators indicate that the heritability level estimates depend on how the study was conducted and on the kinds of relatives upon which they are based (Table 1). For instance, studies conducted with identical twins and fraternal twins or identical twins reared apart have yielded the highest heritability levels with values clustering around 70 percent of the variation in BMI.

Table 1. Overview of the genetic epidemiology of human body fat/obesity (The table is based on the trends in about 50 different studies. In most of these studies, the BMI was the phenotype considered. In some cases, skinfolds or estimates of percentage body fat or fat mass were used. From Bouchard 1994)

Heritability/transmissionmaternal/paternalfamilial environment
Nuclear families 30 to 50 No Minor
Adoption studies 10 to 30 Mixed results Minor
Twin studies 50 to 80 No No
Combines strategies 25 to 40 No Minor

In contrast, the adoption studies have generated the lowest heritability estimates of about 30 percent or less. The family studies have generally found levels of heritability intermediate between the twin and the adoption study reports. A few investigations have included all or most of these kinds of relatives in the same analysis. Using analytical techniques developed to use all the information and maximum likelihood procedures, these studies have concluded that the true heritability estimate for BMI in large sample sizes was between 25 and 40 percent. Recent surveys undertaken in Sweden and the USA with the collaboration of severely obese and morbidly obese subjects together with information obtained on their parents, siblings, and spouses confirm that the genetic contribution to obesity may indeed be around 25 to 40 percent of the individual differences in BMI (Bouchard et al. 1998).

3.2 Familial Risk for Obesity

The risk of becoming obese when a first-degree relative is overweight or obese can be quantified using the lambda coefficient (λs) defined as the ratio of the risk of being obese when a biological relative is obese compared with the risk in the population at large, i.e., the prevalence of obesity (Risch 1990). Age- and gender-standardized risk ratios (equivalent to λs) obtained from 2349 first degree relatives of 840 obese probands and 5851 participants of the National Health and Nutrition Examination Survey III (NHANES III) revealed that the prevalence of obesity (BMI⩾30) is twice as high in families of obese individuals than in the population at large (Lee et al. 1997). Moreover, the risk increases with the BMI threshold used to define the obesity. Thus, the risk of extreme obesity (BMI⩾45) is about eight times higher in families of extremely obese subjects.

The familial clustering of morbid obesity was also investigated (Adams et al. 1993) in 221 families (n=1560, subjects ages 18 years and older) in Utah ascertained through a single morbidly obese proband. All probands had to be at least 45.5 kg over their ideal body weight. About 48 percent of the morbidly obese probands had one or more first-degree relatives who were also morbidly obese. Using data from 20,455 families from the general Utah population, the authors estimated that the prevalence of morbid obesity reached 6 percent in the Utah population. Thus, the risk of morbid obesity was about eight times higher (6 percent vs. 48 percent) in families segregating for morbid obesity than in the general population. More recently, using data from 15,245 participants aged 7 to 69 years from the 1981 Canada Fitness Survey, it was shown that the familial risk of obesity was 5 times higher for relatives in the upper 1 percent of the distribution of BMI than in the general Canadian population (Katzmarzyk et al. 1999).

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Genetic Studies of Personality

N.L. Pedersen, in International Encyclopedia of the Social & Behavioral Sciences, 2001

1 Behavioral Genetic Studies of Personality

Twin, family, and adoption studies have been the primary source of information on the relative importance of genetic effects (‘heritability’) for personality. Behavioral geneticists study the similarity of individuals who share genes and environments to different degrees to quantify heritability. In the classical twin study, identical twins share all of their genes in common whereas fraternal twins share on average only half of their segregating genes in common. Thus, if genetic effects are important for a personality trait, identical twin pairs should be twice as similar as fraternal twin pairs. Similarity between parents and offspring or among siblings may also indicate the influence of genetic effects. The importance of the shared rearing environment can be evaluated by assessing the similarity of adoptees and their adoptive parents. Environmental influences can also be individual specific, or ‘non-shared,’ i.e., contributing to differences among family members. Behavioral geneticists typically apply structural equation modeling techniques to paper and pencil self-reports of personality when estimating heritability and the importance of shared and non-shared environmental influences (see Genetic Studies of Behavior: Methodology; Genetics of Complex Traits Through the Life Cycle).

1.1 Univariate Results

Most genetic studies of personality are based on very large twin and family samples. Personality has been assessed on over 50,000 pairs of twins in the national twin registries in Australia, Finland, Norway, Sweden, and The Netherlands, on volunteer twin registries in the USA, and on the 30,000 individuals in the Virginia study of twins and their families. Numerous smaller twin, family, and adoption studies have also been performed. Many of the studies (particularly those in the national twin registries) have assessed personality, using versions of the Eysenck Personality Inventory. However, during the 1980s and 1990s increasing amounts of data have become available concerning other personality inventories, such as the Five-Factor Model of Costa and McCrae (McCrae and Costa 1987) and the Seven-Factor Model of Cloninger (Cloninger 1998).

Remarkably, there is considerable consensus across studies and cultures. Genetic effects account for on average 35–40 percent of the variation in personality traits such as neuroticism and extraversion. (In other words, the heritability of these traits is 0.35–0.40.) Evidence from studies of twins reared apart and adoption studies indicate that shared environmental influences account for another 5–10 percent of the variation in most personality traits, and the remaining variation is individual specific or ‘non-shared’ environmental variation. In other words, people differ for personality. Most of the individual differences we observe are due to individual specific experiences not shared by other family members and about 40 percent of the differences are due to genetic differences among us. The extent to which family members are similar to one another reflects primarily their genetic similarity, and only in part being raised in the same home.

There is some heterogeneity in genetic effects on personality. Traits related to extraversion, such as impulsivity, openness to experience, and sensation seeking tend to have slightly higher heritability estimates than those related to neuroticism and instability. Furthermore, the genetic influences for the extraversion-related traits may in part be operating in a nonadditive manner. That is, there may be interactions within or between genetic loci, such that the effect of one gene may depend on another gene. The latter effect, known as epistasis (see Genetics of Complex Traits Through the Life Cycle), may complicate efforts to identify specific genes that are of importance for personality traits.

Heritability estimates may be on average 40 percent for most personality traits, but there are traits for which genetic effects are of less importance. Examples of these are ‘agreeableness,’ ‘guilt,’ feelings of control over ‘luck,’ and ‘cynic hostility.’ For these measures, familial similarity is primarily due to environmental influences shared by family members rather than genetic similarity.

1.2 Genetic Influences on Stability and Change

There has been a great deal of controversy as to whether personality is stable throughout the lifespan. Some developers of personality inventories argued that finding significant heritability for personality would support hypotheses of stability in personality. Their argument rested on the misconception that if genetic effects are important they are immutable and do not change. Despite the fact that humans are born with a full complement of genes, not all genes may be operating at all phases in life. Some genes turn on and others turn off at various transitional periods, while others may react dependent on external stressors. On the other hand, some genes may have a long-term effect that is stable across the lifespan (see Genetics of Complex Traits Through the Life Cycle). Thus, the issue of genetic contributions to stability for personality is empirically testable.

During infancy, there is less stability in temperament than is typically reported for adulthood. Nevertheless, results from longitudinal twin studies indicate that the moderate stability observed for infant temperament is influenced in part by genetic effects. During childhood, genetic effects are also important contributors to phenotypic (i.e., observable) stability. Longitudinal studies of adult twins confirm findings of substantial phenotypic stability in personality. Furthermore, the genetic effects themselves are very stable, i.e., the same genes appear to be influencing personality throughout adulthood. Nonetheless, genetic and environmental influences are equally important for phenotypic stability. Even though the genetic effects themselves are very stable, they are relatively less important than environmental effects, and thus the net influence on stability is reduced. Environmental effects are the most important influences on change. Thus, genetic influences on personality contribute to stability rather than to change. However not all personality stability can be explained by genetic influences alone.

1.3 Structure of Personality

Developments in theories of personality have been paralleled with developments in statistical analyses of genetically informative data. During the 1980s and 1990s, the three-factor approach to personality was gradually extended to the five-factor theory and the seven-factor theory (McCrae and Costa 1987, Cloninger 1998). The factor analytic approach generally applied at the phenotypic level is also applicable at the level of genetic and environmental influences. The question to be addressed is whether there is a genetic factor structure or an environmental factor structure that is similar to the phenotypic factor structure. Do genetic or environmental effects mediate the associations among various aspects of personality? This line of analysis has only recently been applied and promises to be an important area for future research concerning the structure of personality.

1.4 Genetic Mediation of Associations with Personality

Health psychologists have demonstrated that personality is important for health outcomes (such as cardiovascular disease, cancer, and osteoarthrosis) and response to treatment such as recovery from surgery. Current research efforts are focusing on the extent to which genetic and environmental effects mediate the associations between personality and health outcomes. By evaluating these associations, much can be learned about the mechanisms by which personality affects health. For example, neuroticism in young adulthood is predictive of joint pain and osteoarthritic symptoms some 25 years later in midlife. Genetic influences in common to neuroticism and joint pain and shared familial environmental influences mediate this association. There are no genetic influences unique to joint pain. Because neuroticism preceded the joint pain, it is likely that genetic effects are important for neuroticism which in turn influences joint pain and osteoarthritic symptoms through response to stress, immune, and inflammatory processes (Turk-Charles et al. 1999).

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Bioinformatics of Obesity

Bandana M. Chakraborty, Ranajit Chakraborty, in Handbook of Statistics, 2012

6.3.1 Genetics

That obesity runs in families is an old observation, but twin studies and adoption studies have confirmed that the familial resemblance of obesity is not entirely due to “common family environment”; heritable genetic variance contributes considerably in explaining familial resemblance of multiple measures of obesity. The observation of Stunkard et al. (1986b) that the familial correlations of BMI of adoptees and their biological parents are significantly higher than those of adoptees and their adoptive parents from data on the Danish adoption registry supports that assertion that “nature”, more than “nurture”, is a stronger determinant of obesity. Stunkard et al. (1986a) further corroborated this assertion through a large twin study. In fact, the heritability estimates from their twin study reveal that the body weight and BMI has a heritability coefficient almost approaching that of human height, a well known polygenic trait. Price (1987), however, had a lower estimate of heritability of obesity (20–60%). More recently, Silventoinen et al. (2010), through a meta-analysis of several twin and adoption studies, came to the conclusion that the significant strong genetic effect on BMI persists at all ages. In spite of such congruent evidence of strong genetic etiology of obesity, the inheritance of obesity is not simple; making it a complex phenotype, probably influenced by multiple genes acting singly as well as with interactions of each other, and mediated or moderated by environmental and lifestyle factors.

Data suggesting such etiological inference are accumulating at a fast rate over the past decade Rankinen et al. (2006) provided the most up-to-date human obesity gene map that enlists obesity-phenotype related genes that include: 11 genes with single-gene mutations, 244 genes with knockout and transgenic mice experiments, 50 Mendelian disorders with known map locations, 408 QTL genes from animal experiments, 317 human QTLs from genome scans, and 127 candidate genes from population-based association studies. Of these, 12 genes stand out in the sense that their associations are replicated in at least 10 association studies. In Table 7 we list these 12 genes, along with their chromosomal locations and respective genetic pathways involved. Four general implications emerge from such listings. First, obesity is certain to have a multifactorial etiology, including effects of multiple genes. Second, genes responsible for obesity are spread over the entire genome, and hence, influence of any single gene on an obesity phenotype may not by itself be large (i.e., individually each obesity gene may have only a small effect-size on obesity). In fact, 127 candidate genes of the 2005 Human obesity Gene Map (Rankinen et al., 2006) are found in all human chromosomes with the exception of Y-chromosome; some genes are on the mitochondrial genome as well. Third, since the same or similar functional pathways are involved for several of these genes, gene-gene interaction is also equally, if not more, important for obesity development and persistence. Fourth, the pathways involved and the possible functions of these genes indicate that genetics of obesity influences both sides of the energy balance equation; there are genes that influence energy intake by controlling urge for dietary needs (called “satiety genes”; e.g., ADRB2 and ADBR3 of Table 7), while there are some others that modulates energy expenditure, through their action on metabolic pathways and response/need of exercise. The genes expressed in the central nervous system (e.g., NRXN3 reported by Heard-Costa et al., 2009) also shows association of weight gain with sleep disorder in children (Prats-Puig et al., 2012), providing evidence that genome-wide searches of obesity gene have also identified examples of how genes interact with life-style factors to influence obesity-related phenotypes.

Table 7. Selected list of genes associated with obesity-related phenotypes with their chromosomal location and genetic pathways involved

GeneLocationPathways involved⁎⁎
PPARG (30) 3q25 PPAR signaling, Transcriptional misregulation in cancer
ADRB3 (29) 8p12-p11.2 Calcium signaling, Neuroactive legend-receptor interaction, Endocytosis, Salivary secretion
ADRB2 (20) 5q31-q32 Calcium signaling, Neuroactive legend-receptor interaction, Endocytosis, Salivary secretion
LEPR (16) 1p31 Cytokine-cytokine receptor interaction, Neuroactive legend-receptor interaction, Adipocytokine signaling, Jak-STAT signaling
GNB3 (14) 12p13.31 Morphine addiction, Taste transduction, Retrograde endocannabinoid signaling, Cholinergic synapse, GABAergic synapse, Chemokine signaling, Glutamatergic synapse, Serotonergic synape, Dopaminergic synape, Alcoholism
UCP3 (12) 11q13
ADIPOQ (11) 3q27
LEP (11) 7q31.3 Adipocytokine signaling, Trytophan metabolism, alpha-Adrenergic receptor agonists/antagonists, Neuroactive ligand-receptor interaction, Cytokine-cytokine receptor interaction, Antidepressants, Neurotransmitter transporter inhibitors, Biosynthesis of secondary metabolites, Jak-STAT signaling, Legionellosis, Hypnotics, Antithrombosis agents, Ubiquinone and other terpenoid-quinone biosynthesis, Metabolic pathways, Protein export, Glucocorticoid and meneralocorticoid receptor agonists/antagonists, Butyrophenones, Antipsychotics, Biosynthesis of 12-, 14- and 16-membered macrolides, Type-1 polyketide structures
UCP2 (11) 11q13.3
HTR2C (10) Xq24
NR3C1 (10) 5q31 Neuroactive ligand-receptor interaction
UCP1 (10) 4q28-q31 Hungtington’s disease, PPAR signaling

This gene list includes the ones that had been replicated in at least 10 association studies until 2005 (number shown in parentheses after the gene name, listed in decreasing order of number of replications). Gene list and their chromosomal locations are extracted from “The Human Obesity Gene Map: The 2005 Update” (Rankinen et al., 2006; Table 4).⁎⁎Pathways involved were determined from the KEGG Pathway database (http://www.genome.jp/kegg/pathway.html#genetic); - represents no hit in KEGG database

In addition to the human obesity gene map of 2005, in silico studies of gene identification have identified new candidate genes for obesity and its associated phenotype. For example, Table 8 lists five such obesity genes, with their chromosomal location, and function, identified by a computational disease gene identification method (Tiffin et al., 2006). This list is also informative, since it provides examples of genetic connections between obesity and some of their medical complications. Two of the five obesity genes of this list (LPL and BCKDHA) are associated with both obesity and NIDDM, which are co-morbid conditions in high risk individuals, as shown in Table 6 earlier.

Table 8. In silico determination of genes for obesity with or without NIDDM

GeneLocationGene function
Genes associated with obesity and NIDDM
LPL 8p21.3 Hydrolysis of triglycerides
BCKDHA 19q13.2 Amino acid metabolism
Genes associated with obesity only
CAT 11p13 Catalysis of hydrogen peroxide to water and oxygen in the peroxisome
NEU1 6p21.33 Cleavage of terminal sialic acid residues from glycoproteins and glycolipids in the lysosome
VLDLR 9p24.1 Transport of triacylglycerol from the live to adipose tissue

Note: Data extracted from Table 2 of Tiffin et al. (2006).

Rare monogenic forms of obesity are also known when it is a major feature of syndromes such as Prader–Willi syndrome, Bardet–Biedl syndrome, Cohen syndrome, and MOMO syndrome. Because of these, the common forms of obesity that are often risk factors for more complex diseases or medical conditions (such as the ones listed in Table 4) are often called “non-syndromic obesity” (Walley et al., 2009).

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Anxiety Disorder in Children

C.L. Donovan, S.H. Spence, in International Encyclopedia of the Social & Behavioral Sciences, 2001

2 Etiology

Empirical research in the area of childhood anxiety has identified a number of risk factors that, when present, increase the likelihood of the development of such problems. More recently, evidence is also emerging regarding protective factors that reduce the negative impact of risk factors.

2.1 Genetic Transmission

Anxious children are more likely to have anxious parents and anxious parents are more likely to have anxious children. These familial relationships could indicate either genetic or family environment influences. Evidence confirms that genetic factors do play a part in determining the development of childhood anxiety disorders, but clearly this explanation does not account for many cases of childhood anxiety. The research has found heritability estimates of around 40–50 percent (Thapar and McGuffin 1995), meaning that other factors play an important role, in addition to genetic determination. Although genetic factors are clearly involved in the development of anxiety for some children, it remains to be shown exactly what is inherited. What appears to be inherited is an increased propensity to develop anxiety related problems, rather than a specific anxiety disorder. This propensity may relate to some temperament pattern in the child that increases the risk of developing anxiety disorders.

2.2 Child Temperament

Temperament theorists believe that early child temperament is of etiological significance to the later development of childhood anxiety. ‘Behavioral inhibition’ is the term used to describe one particular pattern of childhood temperament that has been most frequently linked with childhood anxiety problems. It can be defined as a relatively stable temperament style characterized by initial timidity, shyness, and emotional restraint when exposed to unfamiliar people, places, or contexts. This temperament pattern is associated with elevated physiological indices of arousal and has been shown to have a strong genetic component. Most importantly, children exhibiting a temperament style of behavioral inhibition demonstrate an increased likelihood of developing child anxiety (see Kagan 1997 for a review of this area). Other temperament theorists argue for the existence of three stable factors: positive affectivity/surgency (PA/S), negative affectivity/neuroticism (NA/N), and effortful control (EC) (Lonigan and Phillips in press). According to this theory, high NA/N combined with low EC places children at risk for the development of anxiety problems, and there is some tentative evidence to support this proposition. However, as not all children exhibiting an early temperament style of behavioral inhibition, or high NA/N combined with low EC, go on to develop an anxiety disorder, the presence of moderating or mediating variables appears to be likely. In particular, attachment style and parenting characteristics (see Sects. 2.3 and 2.4) are likely to interact with early childhood temperament to determine the development of anxiety problems.

Although the literature regarding childhood temperament is interesting, it tells us little about the exact mechanism of action. It remains to be determined whether temperament impacts upon anxiety through greater susceptibility to conditioning processes, greater emotional and/or physiological arousability to stressful events, or through cognitive processes. For example, it is feasible that ‘at risk’ temperaments have their impact though greater tendencies to detect and attend to threatening stimuli in the environment, or expectations regarding the occurrence of negative outcomes. It has been shown in several studies that anxious children are more likely than others to think about negative events and to expect negative outcomes from situations.

2.3 Parenting Characteristics

The strong family links found in childhood anxiety could also be explained to some degree by parental behavior and the family environments in which the children are brought up. Parenting behavior has been suggested to impact upon child anxiety in a number of ways. From a learning theory perspective, certain forms of parenting behavior may increase the probability that children learn to respond in an anxious manner and fail to acquire the skills needed to cope with the inevitable stressful events that occur during children's lives. Observational studies have demonstrated that parents of anxious children are more likely to model, prompt, and reinforce anxious behavior, such as avoidance and distress in stressful situations. Furthermore, parents of anxious children are more likely to draw their children's attention to the threatening aspects of situations and less likely to encourage ‘brave’ solutions (Rapee in press).

The parents of anxious children are also more likely to engage in behaviors that make it less likely that children will learn how to solve stressful problems themselves. Empirical enquiry has found that parents of anxious children demonstrate higher levels of overcontrolling and overprotective behaviors that disrupt coping skills development. As a group, they are also more likely to be critical of their child's coping attempts, thereby reducing children's confidence in their abilities to solve their own life problems (Dumas, La Freniere and Serketich 1995, Krohne and Hock 1991). These parenting styles may interact with childhood temperament in explaining why some behaviorally inhibited children develop anxiety problems and some do not. For example, parental overprotection and overcontrol appears to be influential in determining the stability of behavioral inhibition in children (Hirshfeld et al. 1997a, 1997b). Parental behavior has also been found to be important in determining the impact of traumatic life events upon childhood psychopathology. Following trauma, children are more likely to develop emotional and behavioral difficulties if their parents react in an overprotective manner after the event (e.g., McFarlane 1987).

It is also important to consider that children have an influence upon parents, and anxious child behavior may cause parents to behave in particular ways. In much of the literature to date, it is not clear whether the overprotective behaviors of parents are definitely a cause of childhood anxiety or whether they could be a consequence of living with an anxious child. Future research needs to clarify these relationships.

2.4 Attachment Style

Recognizing the reciprocal effects of parents and their children, researchers have started to examine the quality of the attachment relationship between children and their caregivers. For example, Warren et al. (1997) found that anxious-resistant attachment at 12 months predicted anxiety disorders in adolescence, even after the effects of maternal anxiety and infant temperament were removed. There is also some evidence that attachment style may interact with infant temperament in the prediction of early markers of anxiety problems (e.g., Fox and Calkins 1993, Nachmias et al. 1996). It appears likely that certain patterns of behavior characteristic of particular forms of early childhood temperament make it difficult for parents and children to form secure attachments. Although this research is in its early stages, it appears to be an area that warrants further investigation. The quality of the parent–child attachment relationship may represent one mechanism through which familial transmission could occur. It is well recognized that parental psychopathology, particularly depression, disrupts parenting skills and interferes in attachment relationships. It may be that high levels of parental anxiety also disrupt effective parenting and attachment relationships, thereby contributing to intergenerational transmission of anxiety.

2.5 Traumatic, Negative and Stressful Life Events

The effect of traumatic, negative, and stressful life events on the development of anxiety in children is another area of etiological investigation. Perhaps not surprisingly, higher rates of anxiety disorders are associated with a range of natural disasters and traumatic life events (Benjamin et al. 1990). However, as not all children experiencing traumatic, negative, or stressful life events go on to develop anxiety disorders, the moderating or mediating influence of parenting behavior has been suggested. Indeed, what emerges from the literature relating to the etiology of childhood anxiety is a complex picture of interacting determinants and multiple pathways through which such problems may develop.

2.6 Protective Factors

Protective factors refer to variables that increase resilience to psychological disorder by reducing the impact of risk factors. Positive social support, particularly from a significant adult, is one such protective factor that has been suggested to provide a buffer against the development of anxiety problems, and indeed against the development of psychopathology in general. For example, a strong negative relationship has been found between child anxiety level and family social support (White et al. 1998). Child coping style is another protective factor suggested to play a role in child anxiety. Coping style is a generic term that relates to the way in which individuals attempt to cope with negative or aversive situations. There is some tentative evidence to suggest that children employing problem-focused strategies are less likely to experience psychopathology, whereas emotion-focused and avoidant coping styles are associated with higher levels of anxiety and depression (Compas et al. 1988).

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What does that tell us about the contribution of genetics to any one person's height?

Scientists estimate that about 80 percent of an individual's height is determined by the DNA sequence variations they have inherited, but which genes these changes are in and what they do to affect height are only partially understood.

When we say that the heritability of a trait is 70 percent it means that?

So, a heritability of 0.7 does not mean that a trait is 70% caused by genetic factors; it means that 70% of the variability in the trait in a population is due to genetic differences among people.

What does it mean if heritability is 1?

Heritability estimates range in value from 0 to 1. If H = 1, then all variation in a population is due to differences or variation between genotypes (i.e., there is no environmentally caused variation).

What does high heritability mean?

Heritability measures how important genetics is to a trait. A high heritability, close to 1, indicates that genetics explain a lot of the variation in a trait between different people; a low heritability, near zero, indicates that most of the variation is not genetic.