Genome-wide autozygosity is associated with lower general cognitive ability.

Inbreeding depression refers to lower fitness among offspring of genetic relatives. This reduced fitness is caused by the inheritance of two identical chromosomal segments (autozygosity) across the genome, which may expose the effects of (partially) recessive deleterious mutations. Even among outbred populations, autozygosity can occur to varying degrees due to cryptic relatedness between parents. Using dense genome-wide single-nucleotide polymorphism (SNP) data, we examined the degree to which autozygosity associated with measured cognitive ability in an unselected sample of 4854 participants of European ancestry. We used runs of homozygosity-multiple homozygous SNPs in a row-to estimate autozygous tracts across the genome. We found that increased levels of autozygosity predicted lower general cognitive ability, and estimate a drop of 0.6 s.d. among the offspring of first cousins (P=0.003-0.02 depending on the model). This effect came predominantly from long and rare autozygous tracts, which theory predicts as more likely to be deleterious than short and common tracts. Association mapping of autozygous tracts did not reveal any specific regions that were predictive beyond chance after correcting for multiple testing genome wide. The observed effect size is consistent with studies of cognitive decline among offspring of known consanguineous relationships. These findings suggest a role for multiple recessive or partially recessive alleles in general cognitive ability, and that alleles decreasing general cognitive ability have been selected against over evolutionary time.

Stability and change of genetic and environmental effects on the common liability to alcohol, tobacco, and cannabis DSM-IV dependence symptoms.

This study investigated the stability of genetic and environmental effects on the common liability to alcohol, tobacco, and cannabis dependence across adolescence and young adulthood. DSM-IV symptom counts from 2,361 adolescents were obtained using a structured diagnostic interview. Several sex-limited longitudinal common pathway models were used to examine gender differences in the magnitude of additive genetic (A), shared environment, and non-shared environmental effects over time. Model fitting indicated limited gender differences. Among older adolescents (i.e., age > 14), the heritability of the latent trait was estimated at 0.43 (0.05, 0.94) during the first wave and 0.63 (0.21, 0.83) during the second wave of assessment. A common genetic factor could account for genetic influences at both assessments, as well as the majority of the stability of SAV over time [rA = 1.00 (0.55, 1.00)]. These results suggest that early genetic factors continue to play a key role at later developmental stages.

The heritability of general cognitive ability increases linearly from childhood to young adulthood.

Although common sense suggests that environmental influences increasingly account for individual differences in behavior as experiences accumulate during the course of life, this hypothesis has not previously been tested, in part because of the large sample sizes needed for an adequately powered analysis. Here we show for general cognitive ability that, to the contrary, genetic influence increases with age. The heritability of general cognitive ability increases significantly and linearly from 41% in childhood (9 years) to 55% in adolescence (12 years) and to 66% in young adulthood (17 years) in a sample of 11 000 pairs of twins from four countries, a larger sample than all previous studies combined. In addition to its far-reaching implications for neuroscience and molecular genetics, this finding suggests new ways of thinking about the interface between nature and nurture during the school years. Why, despite life's 'slings and arrows of outrageous fortune', do genetically driven differences increasingly account for differences in general cognitive ability? We suggest that the answer lies with genotype-environment correlation: as children grow up, they increasingly select, modify and even create their own experiences in part based on their genetic propensities.

Genetic and environmental influences on behavioral disinhibition.

Comorbidity among childhood disruptive behavioral disorders is commonly reported in both epidemiologic and clinical studies. These problems are also associated with early substance use and other markers of behavioral disinhibition. Previous twin research has suggested that much of the covariation between antisocial behavior and alcohol dependence is due to common genetic influences. Similar results have been reported for conduct problems and hyperactivity. For the present study, an adolescent sample consisting of 172 MZ and 162 DZ twin pairs, recruited through the Colorado Twin Registry and the Colorado Longitudinal Twin Study were assessed using standardized psychiatric interviews and personality assessments. DSM-IV symptom counts for conduct disorder and attention deficit hyperactivity disorder, along with a measure of substance experimentation and novelty seeking, were used as indices of a latent behavioral disinhibition trait. A confirmatory factor model fit to individual-level data showed a strong common factor accounting for 16-42% of the observed variance in each measure. A common pathway model evaluating the genetic and environmental architecture of the latent phenotype suggested that behavioral disinhibition is highly heritable (a(2) = 0.84), and is not influenced significantly by shared environmental factors. A residual correlation between conduct disorder and substance experimentation was explained by shared environmental effects, and a residual correlation between attention deficit hyperactivity disorder and novelty seeking was accounted for by genetic dominance. These results suggest that a variety of adolescent problem behaviors may share a common underlying genetic risk.

A multivariate analysis of repeated measures: linkage of the albinism gene (Tyr) to a QTL influencing ethanol-induced anesthesia in laboratory mice.

We propose the use of multivariate analysis of variance in order to address linkage relationships between a genetic marker and a phenotype that is specified by multiple variables. Moreover, enhanced power of a linkage model that simultaneously accounts for environmental factors is demonstrated in the present study. This strategy was used to establish linkage of a quantitative trait locus influencing ethanol-induced anesthesia to the albinism gene (Tyr) in mouse. This approach, which can be implemented immediately with most statistical packages, provides the extreme flexibility of multivariate analysis of variance for analyzing complex questions of linkage regarding either animal or human research paradigms.

Substance use, abuse and dependence in adolescence: prevalence, symptom profiles and correlates.

We present data on the lifetime prevalence of substance use, abuse and dependence in adolescents obtained through structured psychiatric interviews and self-report questionnaires. Most notably, we evaluate symptom profiles based on DSM-IV abuse and dependence criteria for tobacco, alcohol and marijuana, including a gender comparison. Participants are 3,072 adolescents (12-18 years) drawn from three community-based family samples in Colorado. Age trends suggest that substance use is a developmental phenomenon, which increases almost linearly from early to late adolescence. Substance use disorders are less common than experimentation in adolescence, but approximately 1 in 4 adolescents in the oldest cohorts meets criteria for abuse for at least one substance, and 1 in 5 meets criteria for substance dependence. By age 18 nearly 1 in 3 adolescents report daily smoking and 8.6% meet criteria for tobacco dependence. Although alcohol is the most commonly abused substance (10%), a slightly larger proportion of adolescents meet criteria for dependence on marijuana (4.3%) than alcohol (3.5%). Gender differences in prevalence of use more often show greater use in males than females. Males more frequently meet criteria for dependence on alcohol and marijuana in late adolescence, while females are more often nicotine dependent. A comparison of abuse and dependence symptom profiles shows some interesting variability across substances, and suggests that manifestations of a subset of symptoms are gender specific.

Mate similarity for substance dependence and antisocial personality disorder symptoms among parents of patients and controls.

UNLABELLED: Substance dependence (SD) and antisocial personality disorder (ASPD) are highly comorbid and aggregate in families. Mating assortment may be an important process contributing to this familial aggregation. HYPOTHESIS: Symptom counts of substance dependence, antisocial personality disorder, and retrospectively assessed conduct disorder (CD) will be correlated significantly among parents of youth in treatment for substance use and conduct problems and, separately, among parents of community controls. METHODS: We examined SD, ASPD, and CD among 151 pairs of parents of adolescents in treatment for substance use and conduct problems, and in 206 pairs of parents of control subjects. RESULTS: For average dependence symptoms (ADS) (the sum of across-drug substance dependence symptoms divided by the number of substance categories meeting minimum threshold use) mother-father correlations were 0.40 for patients and 0.28 for controls. Mother--father correlations for ASPD symptom count were 0.33 for patients and 0.26 for controls and for CD symptom count were 0.31 for patients (all P < 0.01) and 0.10 for controls (P = 0.14). CONCLUSIONS: Spousal correlations for ADS and ASPD, suggest substantial non-random mating. Results support gender differences in homogamy for SD. Behavior genetic studies of these disorders need to account for assortment to avoid biases in estimates of genetic and environmental effects.

Nominal association with CHRNA4 variants and nicotine dependence.

Nicotine binds to nicotinic acetylcholine receptors and studies in animal models have shown that α4ß2 receptors mediate many behavioral effects of nicotine. Human genetics studies have provided support that variation in the gene that codes for the α4 subunit influences nicotine dependence (ND), but the evidence for the involvement of the ß2 subunit gene is less convincing. In this study, we examined the genetic association between variation in the genes that code for the α4 (CHRNA4) and ß2 (CHRNB2) subunits of the nicotinic acetylcholine receptor and a quantitative measure of lifetime DSM-IV ND symptom counts. We performed this analysis in two longitudinal family-based studies focused on adolescent antisocial drug abuse: the Center on Antisocial Drug Dependence (CADD, N = 313 families) and Genetics of Antisocial Drug Dependence (GADD, N = 111 families). Family-based association tests were used to examine associations between 14 single nucleotide polymorphisms (SNPs) in CHRNA4 and CHRNB2 and ND symptoms. Symptom counts were corrected for age, sex and clinical status prior to the association analysis. Results, when the samples were combined, provided modest evidence that SNPs in CHRNA4 are associated with ND. The minor allele at both rs1044394 (A; Z = 1.988, P = 0.047, unadjusted P-value) and rs1044396 (G; Z = 2.398, P = 0.017, unadjusted P-value) was associated with increased risk of ND symptoms. These data provide suggestive evidence that variation in the α4 subunit of the nicotinic acetylcholine receptor may influence ND liability.

SNPs in CHRNA6 and CHRNB3 are associated with alcohol consumption in a nationally representative sample.

The CHRNA6 and CHRNB3 genes have been associated with nicotine dependence and early subjective response to nicotine. Here we present evidence, using a nationally representative sample of adults, that this region is also associated with alcohol behaviors. Six SNPs (single nucleotide polymorphisms) spanning the CHRNB3/A6 genes were analyzed using the statistical genetics software FBAT-PC, which allows one to examine a collection of multiple phenotypes to generate a maximally heritable composite phenotype for each SNP. The six SNPs were tested using FBAT-PC including four alcohol phenotypes: average number of drinks, blackouts, total number of DSM-IV abuse and dependence symptoms endorsed, and quit attempts. Three SNPs in CHRNA6 (rs1072003, P = 0.015; rs892413, P = 0.0033 and rs2304297, P = 0.012) and one SNP in CHRNB3 (rs13280604, P = 0.0053) were associated with a composite of the alcohol phenotypes. The association was primarily driven by the average number of drinks.

Developmental epidemiology of drug use and abuse in adolescence and young adulthood: Evidence of generalized risk.

Past studies highlight a narrowing gender gap and the existence of a shared etiology across substances of abuse; however, few have tested developmental models using longitudinal data. We present data on developmental trends of alcohol, tobacco, and marijuana use, abuse and dependence assessed during adolescence and young adulthood in a community-based Colorado twin sample of 1733 respondents through self-report questionnaires and structured psychiatric interviews. Additionally, we report on the rates of multiple substance use and disorders at each developmental stage, and the likelihood of a substance use disorder (SUD; i.e., abuse or dependence) diagnosis in young adulthood based on adolescent drug involvement. Most notably, we evaluate whether the pattern of multiple substance use and disorders and likelihood ratios across substances support a model of generalized risk. Lastly, we evaluate whether the ranked magnitudes of substance-specific risk match the addiction liability ranking. Substance use and SUDs are developmental phenomena, which increase from adolescence to young adulthood with few and inconsistent gender differences. Adolescents and young adults are not specialized users, but rather tend to use or abuse multiple substances increasingly with age. Risk analyses indicated that progression toward a SUD for any substance was increased with prior involvement with any of the three substances during adolescence. Despite the high prevalence of alcohol use, tobacco posed the greatest substance-specific risk for developing subsequent problems. Our data also confirm either a generalized risk or correlated risk factors for early onset substance use and subsequent development of SUDs.

Genetic and environmental influences on age at sexual initiation in the Colorado Adoption Project.

Whereas the majority of research on adolescent sexual initiation has focused solely on environmental factors, the present study used behavioral genetic analyses to investigate the relative contributions of genetic and environmental influences. Structural equation models were fitted to data from adoptive and non-adoptive sibling pairs (231 biologically related pairs and 169 unrelated pairs) from the Colorado Adoption Project. Information from censored individuals who had not yet experienced sexual initiation was maximized by adapting the twin survival analysis method of Pickles et al. (Behav Genet 24(5):457-468, 1994) to accommodate adoptive and non-adoptive siblings. Point estimates of variance components from an ACE model, including additive genetic (A), shared environmental (C), and non-shared environmental (E) influences were 28%, 24%, and 48%, respectively. Despite the lower point estimate for shared environmental effects than additive genetic effects, a CE model provided the best fit to the data. However, because adoptive siblings provide a direct estimate of shared environmental influences there is greater power to detect shared environmental effects in adoption designs. Evidence for genetic influences from our data were somewhat lower than those obtained in previous twin studies, possibly reflecting a return to more socially conservative sexual attitudes, changing sexual behaviors, or ambiguities in the wording of questions commonly used in research on adolescent sexuality.

Familial resemblance for the Identical Blocks Test of spatial ability: no evidence for X linkage.

The Identical Blocks Test of spatial ability was administered to subsamples of the two largest ethnic groups tested in the Hawaii Family Study of Cognition--Americans of European ancestry (171 families) and Americans of Japanese ancestry (98 families). Results of a hierarchical multiple regression analysis of family data and correlational analyses provided no evidence to support the hypothesis that spatial ability is influenced by a major, X-linked, recessive gene. Thus it appears that recent failures to replicate the sex-linkage pattern obtained by Stafford (1961) are not due to differences in the tests employed. We suggest that alternative explanations should be sought for the well-known sex difference in spatial ability.

Continuity and change in infant shyness from 14 to 20 months.

Objective measures of shyness in the MacArthur Longitudinal Twin Study were obtained in two testing situations: the laboratory and the home. A longitudinal hierarchical model was fitted to the data, allowing estimation of the extent to which genetic, shared environmental, and unique environmental influences contributed to continuity and change of the shyness phenotype from 14 to 20 months of age. The sample consisted of 163 monozygotic and 138 same-sex dizygotic twin pairs. Models were fitted to raw data using a maximum-likelihood pedigree approach. Genetic, shared environmental, and unique environmental first-order factors, with specific variances, were modeled on each of four shyness ratings assessed in the laboratory and home at 14 and 20 months. Four second-order genetic, shared environmental, and unique environmental factors were also modeled. Results indicated that developmental change from 14 to 20 months and situational specificity between the laboratory and the home are mediated largely by shared and unique environmental influences. Genetic variation is largely responsible for both the stability in shyness from 14 to 20 months and the phenotypic correlations observed between the laboratory and the home settings.

Stability of genetic and environmental influences on reading performance at 7, 12, and 16 years of age in the Colorado Adoption Project.

The etiology of the longitudinal stability of reading performance was assessed by analyzing data from adoptive and nonadoptive sibling pairs (206 pairs at age 7, 195 pairs at age 12, and 110 pairs at age 16) tested in the Colorado Adoption Project (CAP). Results of longitudinal behavioral genetic analyses confirmed previous findings of moderate genetic influence on individual differences in reading performance at 7 and 12 years of age (a2 = .44 and .38, respectively), with somewhat higher heritability at age 16 (a2 = .57). Corresponding shared environmental influences were negligible (c2 = .07, .09, and .07). Moreover, common genetic influences were responsible for 66% of the observed stability (rp) between ages 7 and 12 (.62), 62% of that between ages 12 and 16 (rp = .74), and 88% of that between ages 7 and 16 (rp = .55). Of particular interest, no new heritable variation was detected at either 12 or 16 years of age, suggesting that genetic influences at 7 years of age are amplified at the later ages. In contrast, new nonshared environmental influences (including measurement error) were manifested at each age, suggesting the possible importance of nonshared environmental factors (e.g., instructional methods, teachers, peers) for the development of individual differences in reading performance between 7 and 16 years of age.

Parent-offspring resemblance for reading performance at 7, 12 and 16 years of age in the Colorado Adoption Project.

BACKGROUND: The study aimed to conduct the first analysis of CAP parent-offspring resemblance for reading performance in children aged 7, 12 and 16 years, and to assess the etiology of individual differences in reading performance of children at 16 years of age. METHOD: The Reading Recognition subtest of the Peabody Individual Achievement Test was administered to children in the Colorado Adoption Project (CAP) at 7, 12 and 16 years of age, and to their adoptive and nonadoptive parents when the children were 7 years of age. RESULTS: Resulting parent-offspring correlations in adoptive families were not significant at any age, but correlations between scores of nonadoptive control parents and their offspring were significant at all three ages. CONCLUSIONS: Results obtained from behavioral genetic model-fitting analyses of data from parents and their children tested at age 16 are consistent with results of studies of twins and siblings indicating that individual differences in reading performance are due substantially to genetic influences. In contrast, environmental transmission from parents to offspring was negligible, suggesting that environmental influences on individual differences in the reading performance of children are largely independent of parental reading performance.

Quantitative trait locus analyses of sleep-times induced by sedative-hypnotics in LSXSS recombinant inbred strains of mice.

The long-sleep (LS) and short-sleep (SS) selected lines of mice show highly significant differences in sleep-time for many sedative-hypnotic drugs, and the quantitative genetic nature of these differences has been well-established. Using an interval-mapping approach, quantitative trait locus (QTL) analyses of LSXSS recombinant inbred (RI) strains have been applied to sleep-time responses for various classes of sedative-hypnotic drugs: alcohols (ethanol, n-propanol, and n-butanol), the atypical anesthetic chloral hydrate, barbiturates (pentobarbital and secobarbital), and benzodiazepines (chlordiazepoxide and flurazepam). Several provisional QTLs were mapped to similar locations within and between drug classes, suggesting that some common loci are involved in sleep-times elicited by these drugs. Consistent with correlations of strain mean sleep-times between drugs tested in the LSXSS recombinant inbred strains, the number of provisional QTLs mapping to the locations of highest significance for ethanol decreases when the lipid solubility of a particular drug becomes less similar to that of ethanol. Provisional QTLs mapped for the benzodiazepines, however, revealed considerable overlap with those mapped for ethanol, although these drugs represented the most lipid-soluble category of sedative-hypnotics tested. Provisional QTLs for pentobarbital and secobarbital differed from most of those mapped for the alcohols, which supports the hypothesis that alcohols and barbiturates exert their effects mainly through different biological mechanisms in the LS and SS lines. Blood ethanol concentrations at regaining the righting reflex also mapped to several provisional QTLs corresponding to ethanol-induced sleep-times that support the contention that sleep-time is a reasonable index of the observed differences in central nervous system sensitivities to ethanol between LS and SS mice.

Quantitative trait loci for ethanol sensitivity in the LS x SS recombinant inbred strains: interval mapping.

We are mapping the genes (quantitative trait loci or QTLs) that are responsible for individual differences in ethanol sensitivity, measured as the duration of loss of righting, reflex (LORR) and blood ethanol concentrations upon recovery of the righting reflex (BEC). The Long-Sleep (LS) and Short-Sleep (SS) selected lines of mice manifest an 18-fold difference in LORR and serve as a rodent model for ethanol sensitivity. The LS x SS recombinant inbred (RI) series, developed from LS and SS lines, are an important resource for QTL mapping of ethanol-related responses. The current report summarizes the initial QTL analysis of LORR and BEC in the LS x SS strains and compares the results of correlational analysis with an interval-mapping approach. The data provide strong evidence for QTLs that influence ethanol sensitivity on mouse chromosomes 1 and 2 and possible QTLs on chromosomes 1, 3, 4, 5, 6, 7, 12, 13, 16, and 18. These results are compared to those from an F2 cross which confirms QTLs on chromosomes 1, 2, 4, and 18.