nhaliday + gxe   29

Alcohol consumption and lifetime change in cognitive ability: a gene × environment interaction study | SpringerLink
We found a significant gene × alcohol consumption interaction on lifetime cognitive change (p = 0.007). Individuals with higher genetic ability to process alcohol showed relative improvements in cognitive ability with more consumption, whereas those with low processing capacity showed a negative relationship between cognitive change and alcohol consumption with more consumption.
study  psychology  cog-psych  psychometrics  iq  metabolic  ethanol  mendel-randomization  endo-exo  GxE  homo-hetero  biodet  behavioral-gen  environmental-effects  endogenous-exogenous 
october 2017 by nhaliday
Genetic influences on measures of the environment: a systematic review | Psychological Medicine | Cambridge Core
Background. Traditional models of psychiatric epidemiology often assume that the relationship between individuals and their environment is unidirectional, from environment to person. Accumulating evidence from developmental and genetic studies has made this perspective increasingly untenable.

Results. We identified 55 independent studies organized into seven categories: general and specific stressful life events (SLEs), parenting as reported by child, parenting reported by parent, family environment, social support, peer interactions, and marital quality. Thirty-five environmental measures in these categories were examined by at least two studies and produced weighted heritability estimates ranging from 7% to 39%, with most falling between 15% and 35%. The weighted heritability for all environmental measures in all studies was 27%. The weighted heritability for environmental measures by rating method was: self-report 29%, informant report 26%, and direct rater or videotape observation (typically examining 10 min of behavior) 14%.
study  meta-analysis  biodet  behavioral-gen  genetics  population-genetics  🌞  regularizer  environmental-effects  GxE  psychiatry  epidemiology  composition-decomposition 
october 2017 by nhaliday
1 Genetics and Crime
The broader construct of antisocial behavior – which includes criminal offending, as well as aggression – also shows substantial genetic influence. In a meta-analysis combining effect sizes in 51 twin and adoption studies, Rhee and Waldman (2002) reported a heritability estimate of 41 per cent, with the remaining 59 per cent of variance being due to environmental factors. Interestingly, when comparing results for various definitions of antisocial behavior, only criminal offending appeared to be influenced by both additive genetic effects and non-additive genetic effects – possibly due to genetic dominance and epistatic interactions between genes – based on a pattern of results whereby, on average, identical (monozygotic) twin correlations are more than twice the value of fraternal (dizygotic) twin correlations, and also that biological parent–offspring correlations are less than fraternal twin correlations. Such non-additive genetic effects could arise if one or more high risk alleles act in a recessive fashion, or if certain alleles at one locus affect gene expression at other loci (epistasis).

One intriguing aspect of the literature on genetics and crime is that the strong and consistent genetic influence seen for property offending does not hold true for violent criminal convictions. None of the major adoption studies in Scandinavia or the United States found any elevated risk for violent convictions as a function of either biological or adoptive parent criminal offending, although one early twin study did find greater identical (monozygotic) than fraternal (dizygotic) concordance for violent convictions (see Cloninger and Gottesman, 1987). This pattern of twin, but not parent-offspring, similarity for violent criminal behavior suggests the possibility of non-additive genetic effects due to dominance or epistasis, which would result in increased resemblance for siblings (and twins), but not for parents and offspring. Thus, there may be genetic risk for violent crimes such as murder and rape, which may stem from rare recessive genes, or specific combinations of alleles that do not appear in studies of vertical transmission across generations.

A Swedish national twin study of criminal behavior and its violent, white-collar and property subtypes: https://www.cambridge.org/core/journals/psychological-medicine/article/a-swedish-national-twin-study-of-criminal-behavior-and-its-violent-white-collar-and-property-subtypes/0D9A88185ED0FD5525A5EBD5D2EBA117
For all criminal convictions, heritability was estimated at around 45% in both sexes, with the shared environment accounting for 18% of the variance in liability in females and 27% in males. The correlation of these risk factors across sexes was estimated at +0.63. In men, the magnitudes of genetic and environmental influence were similar in the three criminal conviction subtypes. However, for violent and white-collar convictions, nearly half and one-third of the genetic effects were respectively unique to that criminal subtype. About half of the familial environmental effects were unique to property convictions.

Heritability, Assortative Mating and Gender Differences in Violent Crime: Results from a Total Population Sample Using Twin, Adoption, and Sibling Models: https://link.springer.com/article/10.1007/s10519-011-9483-0
Using 36k twins, violent crime was moderately heritable (~ 55%) w/ 13% shared environment influence. Using 1.5 mil siblings, heritability was higher for males, & family environment higher for females. Moderate assortative mating for violent crime (r = .4).

The impact of neighbourhood deprivation on adolescent violent criminality and substance misuse: A longitudinal, quasi-experimental study of the total Swedish population: https://academic.oup.com/ije/article/42/4/1057/656274/The-impact-of-neighbourhood-deprivation-on
In the crude model, an increase of 1 SD in neighbourhood deprivation was associated with a 57% increase in the odds of being convicted of a violent crime (95% CI 52%–63%). The effect was greatly attenuated when adjustment was made for a number of observed confounders (OR 1.09, 95% CI 1.06–1.11). When we additionally adjusted for unobserved familial confounders, the effect was no longer present (OR 0.96, 95% CI 0.84–1.10). Similar results were observed for substance misuse. The results were not due to poor variability either between neighbourhoods or within families.

Childhood family income, adolescent violent criminality and substance misuse: quasi-experimental total population study: http://bjp.rcpsych.org/content/early/2014/08/14/bjp.bp.113.136200
What did surprise him was that when he looked at families which had started poor and got richer, the younger children—those born into relative affluence—were just as likely to misbehave when they were teenagers as their elder siblings had been. Family income was not, per se, the determining factor.

Indicators of domestic/intimate partner violence are structured by genetic and nonshared environmental influences: https://www.researchgate.net/publication/233737219_Indicators_of_domesticintimate_partner_violence_are_structured_by_genetic_and_nonshared_environmental_influences
Three indicators of IPV were measured and genetic factors accounted for 24% of the variance in hitting one's partner, 54% of the variance in injuring one's partner, and 51% of the variance in forcing sexual activity on one's partner. The shared environment explained none of the variance across all three indicators and the nonshared environment explained the remainder of the variance.
pdf  essay  article  biodet  behavioral-gen  genetics  crime  criminology  variance-components  GxE  gender  gender-diff  twin-study  summary  survey  social-science  data  class  correlation  environmental-effects  candidate-gene  attention  self-control  discipline  🌞  usa  europe  nordic  meta-analysis  nonlinearity  comparison  homo-hetero  attaq  developmental  QTL  peace-violence  multi  study  psychology  social-psych  psych-architecture  large-factor  genetic-correlation  regularizer  assortative-mating  sib-study  spearhead  scitariat  epidemiology  sociology  chart  longitudinal  confounding  endo-exo  wealth  news  org:rec  org:anglo  org:biz  effect-size  null-result  endogenous-exogenous 
october 2017 by nhaliday
Why are children in the same family so different from one another? - PubMed - NCBI
- Plomin et al

The article has three goals: (1) To describe quantitative genetic methods and research that lead to the conclusion that nonshared environment is responsible for most environmental variation relevant to psychological development, (2) to discuss specific nonshared environmental influences that have been studied to date, and (3) to consider relationships between nonshared environmental influences and behavioral differences between children in the same family. The reason for presenting this article in BBS is to draw attention to the far-reaching implications of finding that psychologically relevant environmental influences make children in a family different from, not similar to, one another.
study  essay  article  survey  spearhead  psychology  social-psych  biodet  behavioral-gen  🌞  methodology  environmental-effects  signal-noise  systematic-ad-hoc  composition-decomposition  pdf  piracy  volo-avolo  developmental  iq  cog-psych  variance-components  GxE  nonlinearity  twin-study  personality  sib-study 
october 2017 by nhaliday
Testing the moderation of quantitative gene by environment interactions in unrelated individuals | bioRxiv
We use simulation to estimate the accuracy, power, and type I error rates of our method and to gauge its computational performance, and then apply this method to IQ data measured on 40,172 individuals with whole-genome SNP data from the UK Biobank. We found that the additive genetic variation of IQ tagged by SNPs increases as socioeconomic status (SES) decreases, opposite the direction found by several twin studies conducted in the U.S. on adolescents, but consistent with several studies from Europe and Australia on adults.
study  bio  preprint  biodet  behavioral-gen  genetics  GxE  class  iq  britain  environmental-effects  regularizer  variance-components  correlation  s-factor 
september 2017 by nhaliday
Comparing the Developmental Genetics of Cognition and Personality over the Lifespan
- Tucker-Drob

Both cognition and personality are moderately heritable and exhibit large increases in stability with age; however, marked differences are evident. First, the heritability of cognition increases substantially with child age, while the heritability of personality decreases modestly with age. Second, increasing stability of cognition with age is overwhelmingly mediated by genetic factors, whereas increasing stability of personality with age is entirely mediated by environmental factors. Third, the maturational time-course of stability differs: Stability of cognition nears its asymptote by the end of the first decade of life, whereas stability of personality takes three decades to near its asymptote.

Theoretical Concepts in the Genetics of Personality Development: http://labs.la.utexas.edu/tucker-drob/files/2015/02/Tucker-Drob-Briley-Genetics-of-Personality-Development-Chapter.pdf
pdf  study  survey  biodet  genetics  iq  personality  variance-components  aging  developmental  QTL  GxE  🌞  meta-analysis  GWAS  comparison  correlation  behavioral-gen  flexibility  sequential  chart  longitudinal  flux-stasis  article  spearhead  multi  essay  methodology  explanation  volo-avolo  intricacy 
february 2017 by nhaliday
Information Processing: The joy of Turkheimer
In the talk Turkheimer gives the following definition of social science, which emphasizes why it is hard:

Social science is the attempt to explain the causes of complex human behavior when:
- There are a large number of potential causes.
- The potential causes are non-independent.
- Randomized experimentation is not possible.
hsu  scitariat  genetics  genomics  causation  hypothesis-testing  social-science  nonlinearity  iidness  correlation  links  slides  presentation  audio  things  lens  metabuch  thinking  GxE  commentary 
february 2017 by nhaliday
Does culture cultivate, or do you need a good plough? - The Unz Review
Each subtest’s proportion of variance in IQ shared with general intelligence was a function of cultural load: The more culture loaded, the higher this proportion. In addition, in adult samples, culture-loaded tests tended to have greater heritability coefficients than did culture-reduced tests, and there was a relationship between subtest’s proportion of variance shared with general intelligence and heritability. In child samples, these relationships were in the same direction, but correlations were small and insignificant.
albion  scitariat  psychometrics  culture  iq  intelligence  variance-components  GxE  study  summary  biodet  behavioral-gen  rindermann-thompson 
january 2017 by nhaliday
Genetic influence on family socioeconomic status and children's intelligence
- Twin research shows genetic influence on within-family environments.
- Twin research cannot address genetic influence on children's family-level SES.
- A new DNA-based method (GCTA) shows genetic influence on family-level SES.
- GCTA shows that genes drive the correlation between family SES and children's IQ.
- Heritability can be viewed as an index of meritocratic social mobility.

Bivariate GCTA analysis also indicates the extent to which the phenotypic covariance between family SES and children's IQ is mediated genetically. The phenotypic correlation between family SES at age 7 and children's IQ at age 7 is 0.31. The genetic contribution to this covariance is 0.29 (Table 2). In other words, 94% of the correlation between family SES and children's IQ is mediated genetically. For family SES at age 7 and children's IQ at age 12, 56% of the phenotypic correlation of 0.32 is mediated genetically. The large standard errors for the estimates of genetic correlations suggest that replication is needed before interpreting the difference between the 94% versus 56% results for IQ at ages 7 and 12, respectively. However, if the difference is real, one possible explanation is that, although the phenotypic correlations between age-7 SES and IQ at ages 7 and 12 do not change, the lower genetic contribution to the SES-IQ correlation at age 12 might reflect increased environmental influence outside the family (e.g., peers, teachers).
study  genetics  genetic-correlation  variance-components  iq  class  GxE  🌞  environmental-effects  spearhead  multi  correlation  biodet  s-factor  behavioral-gen  GCTA 
november 2016 by nhaliday
Information Processing: Childhood SES amplifies genetic effects on adult intelligence
some back-and-forth w/ Bates in the comments (he did that more recent study w/ Tucker-Drob)

Whether or not the average heritability of the sample is attributed to a main effect, or included in the moderated effect (as it was here) is a statistical artifact of how SES is scaled: So the main effect of genes on IQ was zero but that doesn't mean the average h2 was zero, as can be seen: it's not.

"The results also don't fly in the face of prior reports. In classic twin models (reported in the paper) we get the same (very high) heritabilities as have been reported by Bouchard and others in other samples. But you are right, there is a theoretical claim: it's about the mechanism by which many genes affect IQ. It is that "low IQ" alleles and "high IQ alleles" differ in how much information they extract from the environment and incorporate into the internal representations of the world which we manipulate when we reason.

So the alleles can't generate much variance between people in informationally impoverished environments (where there is little complexity to extract), but can generate large differences in attained IQ in environments with high information availability. I think this fits well with the finding that bright children have delayed cortical pruning and prolonged sensitivity to the environment (as reflected in a later loss of shared environmental effects among initially brighter children. Not sure that we're as much in disagreement as you might imagine."
hsu  discussion  study  summary  regularizer  iq  class  GxE  hmm  environmental-effects  longitudinal  twin-study  🌞  scitariat  spearhead  biodet  s-factor  behavioral-gen 
november 2016 by nhaliday
Psychological comments: Does social class affect intelligence only in America?
JayMan's objections:
1. Use of children in samples. IQ is still "affected" by shared environment in children.
2. Racial differences in the U.S. There are much more people in the far low end in the States.
3. Less variance on the low end (less opportunity for genes to show).
4. "Double counting": SES is not exogenous, so it's technically not kosher to do these types of studies.
albion  study  summary  meta-analysis  class  regularizer  genetics  iq  GxE  longitudinal  twin-study  scitariat  redistribution  biodet  s-factor  behavioral-gen  welfare-state 
november 2016 by nhaliday
Large Cross-National Differences in Gene × Socioeconomic Status Interaction on Intelligence : slatestarcodex
study itself: http://www.gwern.net/docs/iq/2015-tucker-drob.pdf
- nontrivial positive interactions in US, zero or negative in western Europe/Australia (more effective/expansive welfare state probably)
- in particular: heritability estimates for IQ are notably lower for low SES populations in the US
- JayMan had some objections (on James Thompson's blog), w/ the strongest-looking one being that SES is not a good metric compared to income because of confounding, but I'm not sure whether that makes sense. And the cross-country differences seem like a strong rejoinder.
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november 2016 by nhaliday
Compound Interest Is The Least Powerful Force In The Universe | Slate Star Codex
some summary of Gregory Clark's arguments

SLAVERY AND THE INTERGENERATIONAL TRANSMISSION OF HUMAN CAPITAL: http://www.j-bradford-delong.net/movable_type/refs/Mozilla_Scrapbook/w9227.pdf
Using a variety of different comparisons, (e.g. within versus across regions) I find that it took roughly two generations for the descendants of slaves to "catch up" to the descendants of free black men and women.

The lasting effect of intergenerational wealth transfers: Human capital, family formation, and wealth: http://sci-hub.tw/http://www.sciencedirect.com/science/article/pii/S0049089X17302788
Jargon aside, their results show that bequests tend not to benefit people much unless they have high human capital

The Intergenerational Effects of a Large Wealth Shock: White Southerners After the Civil War: https://www.nber.org/papers/w25700
The nullification of slave-based wealth after the US Civil War (1861-65) was one of the largest episodes of wealth compression in history. We document that white southern households with more slave assets lost substantially more wealth by 1870 relative to households with otherwise similar pre-War wealth levels. Yet, the sons of these slaveholders recovered in income and wealth proxies by 1880, in part by shifting into white collar positions and marrying into higher status families. Their pattern of recovery is most consistent with the importance of social networks in facilitating employment opportunities and access to credit.

Shocking Behavior : Random Wealth in Antebellum Georgia and Human Capital Across Generations: https://www.nber.org/papers/w19348
We track descendants of those eligible to win in Georgia's Cherokee Land Lottery of 1832, which had nearly universal participation among adult white males. Winners received close to the median level of wealth - a large financial windfall orthogonal to parents' underlying characteristics that might have also affected their children's human capital. Although winners had slightly more children than non-winners, they did not send them to school more. Sons of winners have no better adult outcomes (wealth, income, literacy) than the sons of non-winners, and winners' grandchildren do not have higher literacy or school attendance than non-winners' grandchildren. This suggests only a limited role for family financial resources in the transmission of human capital across generations and a potentially more important role for other factors that persist through family lines.

Lottery Winners Don't Get Healthier: http://marginalrevolution.com/marginalrevolution/2016/06/politically-incorrect-paper-of-the-day-3.html
N.B. the result is not that most lottery winners go bankrupt or that winning money doesn’t help people–the result, as Robin Hanson might say, is that bankruptcy isn’t about money.

Low leverage of wealth on your children’s traits is something that exists in a particular society, with a particular kind of technology. Back in medieval times, a windfall could have kept your kids alive in a famine, and that certainly had a long-term positive effect on their cognitive skills. Dead men take no tests. The most effective medical interventions today are cheap – everyone in Sweden and the US already has them – but there are places where those interventions are not universally available. Some families in Mozambique can afford artemisin, some can’t – this must make a difference.


It is not just wealth that has a small effect on your kid’s potential: playing Mozart doesn’t help either. Other than locking away the ball-peen hammers, it’s hard to think of any known approach that does have much effect – although we don’t know everything, and maybe there are undiscovered effective approaches (other than genetic engineering). For example, iodine supplements have a good effect in areas that are iodine-deficient. We now know (since 2014) that bromine is an essential trace element – maybe people in some parts of the world would benefit from bromine supplementation.

What about the social interventions that people are advocating, like Pre-K ? Since shared family effects (family environment surely matters more than some external social program) are small by adulthood, I think they’re unlikely to have any lasting effect. We might also note that the track record isn’t exactly encouraging. If there was a known and feasible way of boosting academic performance, you’d think that those teachers in Atlanta would have tried it. Sure beats prison.

Maybe there’s an effective approach using fmri and biofeedback – wouldn’t hurt to take a look. But even if it did work, it might simply boost everyone equally, and obviously nobody gives a shit about that.

They can read simple things. Useful things. If you want to talk about higher levels of literacy, or the lack thereof (functional illiteracy), you need to define your terms. And you should act fast, before I define functional illiteracy – which would include anyone who wasn’t reading Anna Karenina in middle school.
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june 2016 by nhaliday

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