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Copyright World Psychiatric Association Are genes destiny? Have adenine, cytosine, guanine and thymine
replaced Lachesis, Clotho and Atropos as the weavers of our fate? 1Department of Social Medicine, Harvard Medical School, 641 Huntington Avenue, Boston, MA 02115-6019, USA Abstract It is as futile to ask how much of the phenotype of an organism is due
to nature and how much to its nurture as it is to determine how much of the
area of a rectangle is due to its length and how much to its height. Phenotype
and area are joint products. The spectacular success of genomics, unfortunately,
threatens to re-awaken belief in genes as the principal determinants of human
behavior. This paper develops the thesis that gene expression is modified
by environmental inputs and that the impact of the environment on a given
organism is modified by its genome. Genes set the boundaries of the possible;
environments parse out the actual. Keywords: Genomics, ontogenetic niche, polyphenism, collective efficacy, heritability, phenylketonuria, thalassemia, gene regulation, Williams syndrome When I completed my psychiatric training in the United States, more than
a half century ago, genetics was anathema. Psychoanalysis was viewed as the
cutting edge of psychiatry and excited the best and the brightest of young
residents. Fifty years later, psychiatry in the United States has been turned upside
down. The discovery of psychotropic drugs has transmuted psychiatrists into
psychopharmacologists. Despite extensive evidence that manualized psychotherapies
(cognitive behavior therapy and interpersonal psychotherapy) are as effective
as tricyclics and selective serotonin reuptake inhibitors for mild and moderate
depression, interest in psychological treatments continues to wane. Prodigious advances in neuroscience and in brain imaging have yielded a
dynamic model of a brain that is shaped by experience and continues to change
over the life course. To cap the revolution, the mapping of the human genome
promises to make it possible to identify genes that influence risk and resistance
to psychiatric disorders. Discoveries in neuroscience and genomics continue
the reshaping of psychiatry into a disproportionately biological specialty
where it had once been a disproportionately psychosocial specialty. Despite the one-sidedness, the gains in our science base constitute a very
considerable advance over the days when I was trained. What is unacceptable
in the "new" psychiatry is a naïve genetic determinism that fails to
take social context into account, just as the "old" psychiatry ignored biology.
Just as I was troubled by psychoanalytic exclusivism then (brainless psychiatry),
I am troubled by the dominance of a fixation on biology (mindless psychiatry)
that ignores social context (1). The
aim of this paper is to reiterate the central principle of evolutionary genetics:
just as the unique response of the organism to its environment depends on
its genome, the expression of that genome is conditioned by that environment. GALTON'S "CONVENIENT JINGLE" In his study of "English Men of Science", Francis Galton (2) sought to discriminate the influence of heredity from that
of environment. Viewing the relationship between the two as dichotomous and
competitive, he wrote: "The phrase 'nature and nurture' is a convenient jingle
of words ... it separates under two distinct heads the innumerable elements
of which personality is composed. Nature is all that a man brings with himself
into the world; nurture is every influence from without that affects him after
his birth...When nature and nurture compete for supremacy on equal terms...
the former proves to be the stronger ... [although] neither is self-sufficient." Will detailed knowledge of the genome foretell the future of our children?
In Greek mythology, three figures wove the tapestry of human fate: Lachesis,
the measurer, allotted to each his portion; Clotho, the spinner, spun out
the threads of life; and Atropos, the lady of the shears, severed the thread
at the appointed time. Similar myths abound in other cultures. In the Icelandic
sagas, man's fate is determined by the witches, Urdur, Verdandi and Skuld.
How far do these ancient myths foretell the truth? Are adenine, cytosine,
guanine and thymine the weavers of our fate? To put the question in these terms is to enthrone Galton's jingle. To ask
how much of the phenotype is due to nature and how much to nurture is as profitless
as to ask how much of the area of a rectangle is due to its length and how
much to its width. Every phenotypic trait reflects the outcome of gene expression
in particular environments. Of course, there are limiting cases at either extreme; that is, there are
lethal genes (mutations incompatible with fetal viability) and environments
lethal to every genome. When tons of carbon dioxide erupted from Lake Nyos
in Cameroon on August 21, 1986, the cloud suffocated everything in its path
as it rolled down the hill. By next morning, 1700 people and countless animals
were dead (3). There were no gene-based
exceptions. In most clinical circumstances, however, the gene effects we encounter
have been modified by the environments the organism has experienced and the
environmental effects we see are dependent on the genomes of the organisms
they have acted upon. THE ONTOGENETIC NICHE Nature and nurture stand in reciprocity, not opposition. Offspring inherit,
along with their parents' genes, their parents, their peers, and the places
they inhabit. West and King (4) have
coined the term "ontogenetic niche" to emphasize that organisms develop within
an ecological and social setting that, like their genes, they share with their
parents. It helps us recognize that neighborhood and neighbors matter along
with parents and siblings. The ontogenetic niche is a legacy that guides development,
a crucial link between parents and offspring, an envelope of life chances.
Replacing the rhetorical contrast "nature versus nurture" with "nature, niche,
and nurture" emphasizes the conjunctions rather than the oppositions that
shape the developmental trajectory. The impact of neighbors and neighborhood as niche is clearly evident in
the findings of the Project on Human Development in Chicago Neighborhoods
(5). Tony Earls and his colleagues (6) knew that certain characteristics of neighborhood
structure - the concentration of poverty, the extent of ghettoization, residential
instability - account for a significant amount of the variance in adolescent
antisocial behavior (7). However, what
they were able to show by the use of sophisticated statistical methods is
that, after adjusting for prior levels of neighborhood crime, informal social
control emerged as a significant deterrent to adolescent delinquency (8). "Informal social control" refers to the
likelihood that adults in the community will monitor spontaneous children's
play groups, intervene to prevent truancy and street corner hanging out by
teenagers, and confront persons misusing or disturbing public space. Further,
informal social control reflects the ability of cohesive communities to demand
needed resources from city authorities for police patrols, fire stations,
garbage collection and housing code enforcement. The importance of this power
is apparent from the correlation between abandoned housing, burned out buildings,
graffiti and litter in an area and more serious crime. "Collective efficacy" is the term proposed for the social cohesion among
neighbors willing to act on behalf of the common good. Unstable and poverty-stricken
neighborhoods with high concentrations of recent immigrants display low collective
efficacy. In turn, low efficacy itself mediates a substantial part of the
association between disadvantage and violence. The ecology of neighbors and
neighborhood interact with family characteristics to determine behavioral
outcomes (5). CALCULATING HERITABILITY Before the specific genes have been identified, geneticists commonly employ
a measure termed "heritability" to partial out the genetic contribution to
a trait of interest. This measure disregards variance arising from genotypeenvironment
interactions, from assortative mating, and from interactions between genes
(that is, different loci do not always act in additive fashion). Beyond matters
of methodology, research on humans is constricted by the limited range of
environments to which given populations have been exposed (in contrast to
agricultural research, where soil, temperature, sunlight, irrigation, fertilizer,
as well as plant genotype, can be systematically modified). Estimates of "heritability"
reflect no more than the findings on a specified population sampled in a given
geographic range during a particular historical era (9). Rather than being a statistic applicable to all populations
at all times, heritability estimates are context-bound and may be higher or
lower (or perhaps even unmeasurable) in other populations, in other places,
at other times. When phenocopies abound, heritability will be low or unmeasurable in such
circumstances. Gene effects may become evident only after environmental variance
has diminished. When changes in the environment diminish the extrinsic causes
of a disease without eliminating that disease altogether, the remaining cases
will show a larger heritability (10).
Secular changes in the epidemiology of rickets offer a telling example. Rickets was endemic in the United States in the 1920s. The discovery of
vitamin D and the provision of D-enriched milk resulted in a dramatic decrease
in the prevalence of rickets. Thus, Albright and his colleagues (11) first reported D-resistant rickets in 1937, the genetic
signals previously having been unrecognizable amidst the environmental noise
resulting from phenocopies. As improved living conditions in industrialized
countries removed exogenous causes, the heritability of rickets increased
- from undetectable levels toward one! Yet, exogenous rickets persists, albeit
at a low rate, among such populations as Muslim women who continue to cover
almost all their skin surfaces with clothing after moving to countries in
the Northern hemisphere with less ambient sunlight; and homebound elderly
patients in Boston and Edmonton during winter months when atmospheric attenuation
of ultraviolet radiation in the 290-315 nm band limits vitamin D3 synthesis
in the skin (12,13). Although the "heritability" of height approaches 0.9, adult height in industrialized
countries has increased by several inches during the last two centuries without
significant perturbations in the distribution of the genes. Better nutrition
and better health have allowed fuller expression of the growth potential already
inherent in the genome. In contrast, malnourished children are stunted in
growth; computed "heritability" in impoverished families is much lower. If malnutrition influences the apparent "heritability" of height, what
impact does socioeconomic deprivation have on the "heritability" of intelligence?
The complexity of the relationship has been clarified in a recent study by
Eric Turkheimer and his colleagues (14).
They analyzed intelligence test scores on a sample of 320 7-year old twin
pairs, one third monozygotic. Their sample was unusual in that a substantial
number of the children were raised in families near or below the poverty level.
Few twin studies have included children from impoverished backgrounds. What
were the new findings? In the author's words: "In impoverished families, 60%
of the variance in IQ is accounted for by the shared environment and the contribution
of genes is close to zero, whereas in affluent families, the result is almost
exactly the reverse." The calculated heritability of IQ for the children raised in middle class
families was substantial (0.72), whereas heritability was barely detectable
(0.1) among those in economically marginal families. The proportion of IQ
variance attributable to genes, versus that attributable to environment, varies
in a nonlinear fashion with socioeconomic status. The environment plays such
a substantial role in the cognitive development of children growing up under
deprived conditions that it obscures the genetic contribution to inter-individual
variability. At or near threshold, small variations in biological and psychological
input have a far more powerful effect than they do when inputs are nearly
optimal. Just as inadequate food intake depresses statural height and lowers
its measured heritability, affective and cognitive (as well as proteincalorie)
malnutrition has similar effects on the development of intelligence. Whatever
the environment, children will differ in intelligence because of genetic variance.
That remains the case under growth-depressing as well as growth-promoting
conditions. Because class differences reflect rearing conditions, the cognitive
stunting associated with severe poverty is preventable! POLYPHENISM Genomic identity does not assure phenotypic identity.
Very different phenotypes can arise from identical genomes,
a phenomenon known as polyphenism; that is, the occurrence
of several distinct phenotypes in a given species. Each phenotype develops
facultatively depending upon cues from the internal and external environment.
With changes in diet and season, dimorphic oak caterpillars express phenotypes
so distinct that the two forms were originally classified as separate species.
The difference between continuous phenotypic variation and discrete polyphenism
is a complex underlying regulatory mechanism that controls a fork between
divergent pathways. "The expression of a polyphenism begins when [extrinsic]
signals are transduced into a developmental switch governed
by the interplay of hormone secretion, hormone titre, sensitivity threshold
to the hormone, timing of the hormone-sensitive period, and specific cellular
responses to hormones" (15). Female honeybee larvae differentiate into queens or workers with profound
morphological differences despite identical genomes. Larvae that will become
queens are reared in large vertically oriented brood cells. Queens are fed
"royal jelly" by nurse bees, but there is no unique "royal" ingredient (16). What seems to matter are the large differences
in the frequency, the amount, and the composition of feedings for queens.
Genetically governed programs add their own effects downstream. The developmental switch depends not on genomic differences between queens
and workers, but on the differential expression of entire suites of genes.
Distinct developmental differences in titres of insect terpenoid juvenile
hormone and ecdysone become manifest as the growth rate of queens continues
to outpace that of workers (17,18). The ultimate phenotypic outcomes are
morphologically, reproductively, and behaviorally distinct castes. Interplay
between genome and socially organized behavior is exquisitely adapted to the
local environment. Plentiful nutrition (or too little of it) induces polyphenisms
in bees and oak caterpillars, as do day length and humidity in aphids and
butterflies, and population density and predator presence in other arthropods. POLYPHENISM AND HUMAN DEVELOPMENT What does polyphenism in bees and butterflies have to do with human development?
Charles Scriver (19) suggests that
the term applies by analogy to clinical outcomes in which phenotypes differ
strikingly despite identity in genes which ordinarily are decisive. Consider
two fiveyear- old patients with phenylketonuria, each with the null mutant
gene for phenylalanine hydroxylase (PAH). The patient whose genetic defect
has not been recognized will exhibit severe mental deficiency, psychotic behavior,
and seizures. The patient who has been identified by metabolic screening in
the newborn nursery and has been maintained on a low phenylalanine diet will
be within the normal range. Both are homozygous for the autosomal recessive
gene; yet, their phenotypes are extraordinarily different. In the clinical
case, high blood phenylalanine levels derailed brain development. In the normal
patient, dietary control has prevented the metabolic consequences of enzyme
deficiency. Comparable "polyphenisms" can be seen when congenital hypothyroidism,
galactosemia, maple syrup urine disease, or homocystinuria are detected by
neonatal screening programs and are managed appropriately (20). Despite genotypic identity, phenotypic outcome in untreated
and treated cases is as night to day. Even in Mendelian disorders like phenylketonuria, the relationship between
genotype and phenotype is complex. More than 400 different mutations have
been identified in the PAH gene (deletions, insertions, splicing defects,
missense and nonsense mutations). Most phenylketonurics are compound heterozygotes,
having inherited different mutations from each parent. Yet, without intervention,
the phenotype of the compound heterozygote is grossly abnormal. The principal
determinant of the phenotype in what is unequivocally a genetic disorder is
the social environment: namely, access to metabolic control through diet,
the age at which it is achieved, and the degree of control attained. GENE-GENE INTERACTIONS IN MENDELIAN DISORDERS Complexity in phenylketonuria is as nothing compared to the remarkable
phenotypic diversity in the beta thalassemias. These monogenic blood disorders
arise from defective beta-globin synthesis; as a result, the excess of alpha
chain aggregates in red cell precursors and leads to abnormal cell maturation
and premature cell destruction. At one end of the clinical spectrum, profound
anemia results in foetal or neonatal death; at the other, "silent" beta thalassemia
mutants may be an incidental finding in family studies. Phenotypic diversity
in the beta thalassemias reflects "layer upon layer of complexity" (21). To begin with, there are more than 200 primary mutations in
beta-globin genes, each with different quantitative effects: most are recessive;
a few are dominant. In the second place, there are modifying genetic loci:
those for alpha-globin and for fetal hemoglobin persistence. Comorbid alpha
thalassemia can lessen the severity of beta thalassemia by diminishing the
alpha chain excess. Thalassemic patients with persistent fetal hemoglobin
have milder disease because the gamma chains of hemoglobin F bind the alpha
excess. The genes that control bilirubin, iron, and bone metabolism are tertiary
modifiers. The heme products resulting from red cell destruction
induce jaundice and gallstone formation; polymorphisms in the promoter gene
controlling hepatic glucuronidation of bilirubin can ratchet
disease severity up or down. Iron loading compromises cardiac, hepatic, and
pancreatic function. HFE polymorphisms influencing intestinal
iron absorption modify the severity of heart failure, cirrhosis, and diabetes.
The progressive osteoporosis seen in adult thalassemics occurs because iron
is toxic to the hypothalamic-pituitary axis. The iron toxicity can be slowed
down or hastened by alleles for the vitamin D receptors, estrogen receptors,
and collagen. Fourth, variations in mutant gene frequencies in different populations
reflect the evolutionary effects of coselection because of
heterozygote advantage against P. falciparum malaria. Finally, features of the social environment (comorbid
infection, malnutrition, and lack of access to medical care) worsen clinical
outcomes. If such is the case in "simple" Mendelian disorders, an even higher
degree of complexity will characterize multifactorial disorders. PARENTING AND GENE REGULATION How is social experience transmuted into development? There is a two-way
traffic between genes and behavior. In rats, maternal licking, grooming, and
nursing behavior (LGN) shapes endocrine and behavioral stress responses in
offspring (22,23). Adult offspring of high LGN dams are less fearful and
show diminished hypothalamic- pituitary-adrenal responses to stress. The female
pups of high-LGN dams become high-LGN dams themselves, suggesting genes at
work. However, when female pups born to low-LGN dams are cross-fostered to
high- LGN dams, they too become high-LGN dams. Maternal behavior has been
transmitted across generations by nongenomic means - if you will, by "culture".
How does that happen? Maternal care regulates gene expression in brain regions
controlling stress responses. Pups exposed to high- LGN display increased
hippocampal glucocorticoid receptor mRNA expression, higher central benzodiazepine
receptor levels in the amygdala, and lower corticotropin releasing factor
mRNA in the paraventricular nucleus of the hypothalamus. Social experience
alters gene expression for the long term. A contrasting example is provided by studies of voles, rodents similar
to mice (23). Vole species vary markedly
in their social behavior. The prairie vole is social and monogamous; the montane
vole is asocial and promiscuous. In the male prairie vole, mating stimulates
secretion of the hormone arginine vasopressin (AVP). The release of AVP is
associated with pair bonding and paternal care. Does the social behavior result
from AVP release? Blockade of the vasopressin receptor V1a in the brain prevents
both bonding and parenting responses to mating; intraventricular injection
of AVP increases affiliative behavior. The pathway from mating behavior to
bonding behavior is hormonal. In contrast, administration of AVP has no effect
on the montane vole. The structure of the genes controlling the V1a receptor
in the brain differs in the two species; the montane vole V1a gene lacks a
428 base-pair coding sequence found in the prairie vole gene. Gene structures
determine and refract behavior patterns. GENES AS MAJOR DETERMINANTS OF BEHAVIOR Structures govern functions even as function molds structures. Genes matter
greatly; in some syndromes, they are decisive. Gene-based abnormalities can
result in "behavioral phenotypes". Williams syndrome (WS) is such an instance;
it is characterized by an unique behavioral phenotype: severe visual-spatial
defects in the presence of enhanced face processing and emotionality. Wechsler
performance IQ is significantly lower than verbal IQ. Some WS children exhibit
what has been termed "cocktail speech"; that is, fluent, articulate speech
with many clichés, social phrases, and irrelevancies (24). The cause of WS is an interstitial gene deletion on
chromosome 7; the size of the deletion varies, and so do the clinical manifestations. Allan Reiss and his colleagues (25)
used high resolution magnetic resonance imaging to look at differences in
brain structure by comparing 43 patients with WS with 40 age- and gender-matched
controls. The brain volume of WS patients was 11% smaller than that of controls.
Reductions in volume and gray matter density were even greater in the brain
regions that play a role in visual-spatial processing (thalamus and occipital
cortex). In contrast, WS patients had disproportionately larger volumes
and increased gray matter density in structures known to
play a major role in emotional and social behaviors (amygdala, cingulate cortex,
superior temporal gyrus, fusiform gyrus, and insular cortex). The pathways
from the gene deletions on chromosome 7 to the abnormalities in structure
remain to be discovered. It is evident, however, that the abnormal structures
go a long way toward accounting for the behavioral phenotype. GENE/ENVIRONMENT INTERACTIONS IN SCHIZOPHRENIA It has long been evident that the schizophrenias are familial. Risk among
first degree relatives of persons with schizophrenia is an order of magnitude
higher than it is in the general population. But what is the mode of transmission?
Although hints abound, there is still no decisive evidence on the genes that
confer risk. Even without precise identification of the genes, however, following
the course of young children adopted away from mothers with schizophrenia
offers a way to examine the gene/environment interactions. By far the best
study of this problem by the adoption method was published in the spring of
2004. Pekka Tienari and his colleagues (26)
at the University of Oulu in Finland have reported a long-term follow-up study
of Finnish adoptees, half of whom were born to mothers who were schizophrenic.
The investigators derived their sample from a Finnish population register
that listed all admissions to psychiatric hospitals as well as all adoptions
that had taken place over a 20-year time interval. They identified 145 mothers
with schizophrenia who had given birth to a child placed for adoption. The
adoptee sample was matched demographically with adoptees whose mothers had
no history of psychiatric hospitalization. They examined both sets of adoptees
and their adopting families on carefully calibrated psychometric instruments
when the adoptees had reached a median age of 23 and again when they were
35. The findings provide striking evidence for both hereditary and environmental
influences. Whereas only 8 of the 145 children born to normal mothers had become schizophrenic,
27 of those born to mothers with schizophrenia had. This highly significant
difference is clear testimony to a major hereditary contribution. However,
assessing the families who had reared the children yielded an equally interesting
finding: namely, that 27 of the 32 adoptees who became schizophrenic had grown
up in dysfunctional adoptive families. These results suggest either that healthy child rearing diminishes the
likelihood that the schizophrenic phenotype will become manifest despite genetic
risk or that the expression of genetic risk requires environmental precipitants.
Pekka Tienari and his colleagues could not exclude "reverse causality"; that
is, the possibility that inherited biological peculiarities in the high-risk
adoptees had "induced" dysfunction in their adoptive families. Weighing all
of the evidence, they conclude that "neither high genetic risk nor dysfunctional
family environment alone predicts schizophrenia". What is decisive is the
interaction of risk and rearing. DEPRESSION ARISING FROM STRESS IN VULNERABLE PERSONS It has long been known that stressful life events increase risk for depression.
It is equally clear that only a minority of those exposed to stress develop
clinical syndromes. Why do some succumb and others not? One obvious source
is allelic variation. In the case of depression, a promising candidate is
a functional polymorphism in the promoter region of the serotonin transporter
gene (5- HTTLPR), because length variation in its alleles affects serotonin
uptake at the synapse. Caspi and colleagues (27) employed
data from the Dunedin Longitudinal Study of Development, which had assessed
more than 1000 children biennially from age 3 to 21. Among the factors recorded
was exposure to stressful life events, including abuse as a child. When the
study subjects were examined at 26, 17% met criteria for a major depressive
episode. For a genetic analysis, the study subjects were divided into three groups
based on their 5-HTTLPR genotype: a) homozygous for the short allele, b) heterozygous,
and c) homozygous for the long allele. Stressful life events had a much greater
impact on the likelihood of depression among those carrying at least one short
allele than they did among those homozygous for the long allele. As further
evidence for the role of genetic diathesis, a documented history of abuse
as a child predicted depression only in those with a short allele (27). CONCLUSION The clinical examples provided in this paper (the inheritance of intelligence,
phenylketonuria, schizophrenia and depression) foretell the great advances
in psychiatry that are promised by advances in genetic science. At the same
time, these examples make clear that clinical phenotypes reflect environments
as well as genotypes. Indeed, success in specifying genotypes will make it
easier for clinicians to identify the relevant features of the familial and
nonfamilial environment that influence the likelihood of health and disease
(28). References 1. Eisenberg L. Mindlessness and brainlessness in psychiatry. Br J Psychiatry. 1986;148:497–508. [PubMed] 2. Galton F. English men of science: their nature and nurture. London: Macmillan; 1874. 3. Clark T. Taming Africa's killer lake. Nature. 2001;409:554–555. [PubMed] 4. West MJ. King AP. Settling nature and nurture into an ontogenetic niche. Develop Psychobiol. 1987;20:549–562. 5. Sampson RJ. Raudenbush SW. Earls F. Neighborhoods and violent crime: a multilevel study of collective
efficacy. Science. 1997;277:918–924. [PubMed] 6. Earls F. Carlson M. The social ecology of child health and wellbeing. Ann Rev Publ Health. 2001;22:141–166. 7. Earls F. Community factors supporting child mental health. Child Adolesc Psychiatr Clin N Am. 2001;10:693–709. [PubMed] 8. Sampson RJ. Collective regulation of adolescent misbehavior. J Adolesc Res. 1997;12:227–244. 9. Cavalli-Sforza LL. Bodmer WF. The genetics of human populations. San Francisco: Freeman; 1971. 10. Childs B. Scriver CR. Age at onset and causes of disease. Persp Biol Med. 1986;29:437–460. 11. Albright F. Butler AM. Bloomberg E. Rickets resistant to vitamin D therapy. Am J Dis Child. 1937;54:529–547. 12. Webb AR. Kline L. Holick MF. Influence of season and latitude on the cutaneous synthesis
of vitamin D3: exposure to winter sunlight in Boston and Edmonton will not
promote vitamin D3 synthesis in human skin. J Clin Endocrinol Metab. 1988;67:373–378. [PubMed] 13. Holick MF. Sunlight dilemma: risk of skin cancer or bone disease and muscle
weakness. Lancet. 2001;357:4–5. [PubMed] 14. Turkheimer E. Haley A. Waldron M, et al. Socioeconomic status modifies heritability of IQ in young children. Psychol Sci. 2003;14:623–628. [PubMed] 15. Evans JD. Wheeler DE. Gene expression and the evolution of polyphenisms. BioEssays. 2001;23:62–68. [PubMed] 16. Brouwers EVM. Ebert R. Beetsma J. Behavioural and physiological aspects of nurse bees in relation
to the composition of larval food during caste differentiation in the honeybee. J Apicultural Res. 1987;26:11–23. 17. Hartfelder K. Engels W. Social insect polymorphism: hormonal regulation of plasticity
in development and reproduction in the honeybee. Cur Topics Develop Biol. 1998;40:45–77. 18. Evans JD. Wheeler DE. Expression profiles during honey bee caste determination. Genome Biol. 2000;2:1. 19. Scriver C. Why mutation analysis does not always predict clinical consequences. J Pediatrics. 2002;140:502–506. 20. National Institutes of Health. Consensus statement, phenylketonuria (PKU): screening and management. Bethesda: National Institutes of Health; 2000. 21. Weatherall DA. Phenotype-genotype relationships in monogenic disease: lessons
from the thalassemias. Nature Rev Genet. 2001;2:245–255. [PubMed] 22. Francis R. DiOrio J. Li UD, et al. Nongenomic transmission across generations of maternal behavior
and stress responses in the rat. Science. 1999;286:1155–1158. [PubMed] 23. Insel TR. Young LJ. The neurobiology of attachment. Nature Rev Neurosci. 2001;2:129–136. [PubMed] 24. Udwin O. Yule W. Expressive language in children with Williams syndrome. Am J Med Genet. 1990;6(Suppl.):108–114. 25. Reiss AL. Eckert MA. Rose FE, et al. An experiment of nature: brain anatomy parallels cognition
and behavior in Williams syndrome. J Neurosci. 2004;24:5009–5015. [PubMed] 26. Tienari P. Wynne LC. Sorri A, et al. Genotype-environment interaction in schizophrenia-spectrum
disorder: long-term follow-up study of Finnish adoptees. Br J Psychiatry. 2004;184:216–222. [PubMed] 27. Caspi A. Sugden K. Moffitt TE, et al. Influence of life stress on depression: moderation by a polymorphism
in the 5-HTT gene. Science. 2003;301:386–389. [PubMed] 28. Eisenberg L. Does social medicine still matter in an era of molecular medicine. J Urban Health. 1999;76:164–175. [PubMed] |
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Br J Psychiatry. 1986 May; 148():497-508.
[Br J Psychiatry. 1986]Nature. 2001 Feb 1; 409(6820):554-5.
[Nature. 2001]Science. 1997 Aug 15; 277(5328):918-24.
[Science. 1997]Child Adolesc Psychiatr Clin N Am. 2001 Oct; 10(4):693-709.
[Child Adolesc Psychiatr Clin N Am. 2001]Science. 1997 Aug 15; 277(5328):918-24.
[Science. 1997]J Clin Endocrinol Metab. 1988 Aug; 67(2):373-8.
[J Clin Endocrinol Metab. 1988]Lancet. 2001 Jan 6; 357(9249):4-6.
[Lancet. 2001]Psychol Sci. 2003 Nov; 14(6):623-8.
[Psychol Sci. 2003]Bioessays. 2001 Jan; 23(1):62-8.
[Bioessays. 2001]Nat Rev Genet. 2001 Apr; 2(4):245-55.
[Nat Rev Genet. 2001]Science. 1999 Nov 5; 286(5442):1155-8.
[Science. 1999]Nat Rev Neurosci. 2001 Feb; 2(2):129-36.
[Nat Rev Neurosci. 2001]Nat Rev Neurosci. 2001 Feb; 2(2):129-36.
[Nat Rev Neurosci. 2001]J Neurosci. 2004 May 26; 24(21):5009-15.
[J Neurosci. 2004]Br J Psychiatry. 2004 Mar; 184():216-22.
[Br J Psychiatry. 2004]Science. 2003 Jul 18; 301(5631):386-9.
[Science. 2003]Science. 2003 Jul 18; 301(5631):386-9.
[Science. 2003]J Urban Health. 1999 Jun; 76(2):164-75.
[J Urban Health. 1999]