WGWAS may also result in different bio annotations (as estimated in MAGMA). For example, the GWAS results for breast cancer show no enriched pathways. The WGWAS results are expressed in the fallopian tube, uterus, ovary, and Artery Tibial (Figure 3).

WGWAS also resulted in larger SNP-based heritabilities for 7 out of the 10 phenotypes (Table 3). For example, Years of education shows a SNP-based heritability of 14.8% in GWAS, and 17.8% in WGWAS.

Next, we compare GWAS and WGWAS associations genomewide. The genetic correlation between GWAS and WGWAS results is lower than one for 6 out of 10 phenotypes. The lowest congruence between GWAS and WGWAS is found for Type 1 Diabetes (rG=0.66) and Breast Cancer (rG = 0.80). (Table 2)

For 5 out of 6 phenotypes we find underestimation: correcting these associations for volunteer bias makes SNP effects more pronounced. For breast cancer we find evidence that previously found top hits are overestimated or even false positives (table 1)

We also show that the IP weights have strong genetic correlations with phenotypes that are known to associate with volunteering. Those in better health and with higher years of education are more likely to participate in the UKB, and thus have lower IP weights (Figure 1).

You can read my full thesis here: research.vu.nl/en/publicati...

Yesterday, I succesfully defended my PhD-dissertation: Genetics, Human Capital Formation, and the Intergenerational Transmission of Socioeconomic Status, cum laude at @vuamsterdam.bsky.social. I look back with gratitude to all that I learned, and look forward to the new knowledge that lies ahead.

I cannot remember the last time I have been more enthusiastic about a working paper. Access to housing through lottery allocation dramatically boosts fertility outcomes in Brazil. Among 20-24 year olds, total lifetime fertility doubles after receiving housing.

www.bcb.gov.br/content/publ...