Visscher
Article
Visscher is a recurring person in the Astral Codex Ten archive, appearing 2 times across 2 issues between July 03, 2025 and October 30, 2025. The archive places it in contexts such as “the leading lights of behavior genetics (Deary, McGue, Visscher, etc) ran a study”; “Wang, Visscher, et al is a step up in studying the gene”; ""Wang, Visscher, et al is a step up in studying the genetics of racial differences."". It most often appears alongside ACX, ChatGPT, Cremieux.
Metadata
- Category: People
- Mention count: 2
- Issue count: 2
- First seen: July 03, 2025
- Last seen: October 30, 2025
Appears In
Related Pages
-
- ACX (2 shared issues)
-
- ChatGPT (2 shared issues)
-
- Cremieux (2 shared issues)
-
- Sasha Gusev (2 shared issues)
-
- Wikipedia (2 shared issues)
-
- 23andme (1 shared issues)
-
- 767 AD (1 shared issues)
-
- @alextisyoung (1 shared issues)
-
- @Scientific_Bird (1 shared issues)
-
- Aborigines (1 shared issues)
-
- ACE twin model (1 shared issues)
-
- ACX community (1 shared issues)
External Links
Source Context
Recovered passages from the original issue text. When the raw archive preserved outbound links inside the source passage, they are listed directly under the quote.
I think the post conflates gene-gene and gene-environment interactions; the latter (specifically interactions between genes and the "shared" environment) also get counted by twin models as narrow sense heritability. While I agree there is very little evidence for gene-gene interactions (particularly dominance, as you cite [and, interestingly, twin/adoption studies actually forecast a huge amount of dominance -- another discrepancy we do not understand]) there is quote substantial evidence for gene-environment interactions including on educational attainment (see Cheesman et al: https://www.nature.com/articles/s41539-022-00145-8 ; Mostafavi et al: https://elifesciences.org/articles/48376), IQ, and BMI. In fact, Peter Visscher led a paper that came to the conclusion that twin estimates for the heritability of BMI are very likely to be overestimated by gene-environment interactions (https://pubmed.ncbi.nlm.nih.gov/28692066/). A large amount of GxE plus some amount of equal environment violation seems like a very plausible and parsimonious answer to the heritability gap.
Inline links: https://www.nature.com/articles/s41539-022-00145-8, https://elifesciences.org/articles/48376, https://pubmed.ncbi.nlm.nih.gov/28692066/
Lastly, it's not clear to me where the conclusion that well-validated twin studies converge on "similar results" is coming from. To take one example: the leading lights of behavior genetics (Deary, McGue, Visscher, etc) ran a study looking at the relationship between intelligence and lifespan (https://pubmed.ncbi.nlm.nih.gov/26213105/). This is a nice study for us because they put together three large, modern, twin cohorts with IQ measurements, but the heritability of IQ was just a nuisance parameter for them, so they had no reason to scrutinize the findings or file-drawer them. If we look at their MZ/DZ correlations in Table S6 we find that the heritability of IQ was 0.36 in the US sample; 0.98 in the Swedish sample; 0.24 in the Danish sample; and ... 0.52 on average. In other words, all over the place (but averaging out to the nice "half nature half nurture" result you see in books); the authors themselves used an AE model in Table 2 and reported a range of 0.20 to 0.98. This is far greater than the variability we see with GWAS or Sib-Reg, so what are we to make of that?
Inline links: https://pubmed.ncbi.nlm.nih.gov/26213105/
36: Wang, Visscher, et al is a step up in studying the genetics of racial differences. It looks at a sample of Mexican families of mixed white-native heritage. By coincidence, some of their children will inherit more genes from the white side, and others more genes from the native side. These children will have identical social situations (since they’re from the same families) but different proportional ancestry, so we should expect any racial differences among them to come from the genetic rather than the social aspect of race (except that we can’t rule out “colorism”, ie genes making people look different and then causing discrimination). The paper finds that racial genetic differences directly affect height, diabetes risk, and other medical traits, but not educational attainment. Twitter discussion here. Cremieux argues here that genes don’t predict educational attainment in developing countries at all, so it’s unsurprising that the particular genes associated with race wouldn’t do so, and so this says nothing about the racial component of traits that are genetically heritable. He claims to have a version of the same analysis with UK whites vs. blacks that gets opposite results. Sasha Gusev critiques Cremieux’s analysis here, including pointing out that it fails to find racial differences in skin color to be genetic. Cremieux says that skin color is determined by such a small number of genes that this method, designed for truly polygenic traits, shouldn’t be expected to classify it properly.