Claims

Polygenic score predictive power for educational attainment increases with discovery sample size and is projected to approach the SNP heritability bound

Claim · All claims
Evidence · 1 study (3 entries) · review r2 · q2
Currency · newest study 2017 · not yet checked against its sources · not reviewed by a person

Subclaims

Reading the evidence codes

q is the design tier, i the impact, n the sample, and the kind with its r the rigour judged within that kind: what each code means.

This claim: no standardized effect is recorded in observations/ for it yet, so no benchmark reading is possible.

q2 i? PGSs for educational attainment built from discovery samples of about 400,000 explain about R2 ≈ 7% of variance in independent samples. → David Cesarini and Peter M. Visscher 2017 q2 i? An analytical projection indicates a PGS built from a 2M-individual discovery sample would come very close to the SNP heritability upper bound. → David Cesarini and Peter M. Visscher 2017 (2) q2 i? Published estimates suggest common variants account for around 25% of variation in educational attainment, the theoretical ceiling for PGSs built from common variants. → David Cesarini and Peter M. Visscher 2017 (3)

Evidence

David Cesarini and Peter M. Visscher 2017

David Cesarini and Peter M. Visscher. (2017). Genetics and educational attainment. npj Science of Learning 2:4. https://doi.org/10.1038/s41539-017-0005-6

q2 · i? · review · r2

Analysis of genotyped Health and Retirement Study respondents of European ancestry (Fig. 2): as discovery samples grew to N ≈ 400,000 for EduYears, PGS predictive power rose to "about R2 ≈ 7%".

"As sample sizes have increased to N ≈ 300,000 (BMI) and N ≈ 400,000 (EduYears), the predictive power of PGSs has increased to about R2 ≈ 7%."

David Cesarini and Peter M. Visscher 2017 (2)

David Cesarini and Peter M. Visscher. (2017). Genetics and educational attainment. npj Science of Learning 2:4. https://doi.org/10.1038/s41539-017-0005-6

q2 · i? · review · r2

Analytical projection from Eq. 3 using M = 70,000 and R2 and N from the largest published GWAS: a PGS from a 2M discovery sample "comes very close to the theoretical upper bound given by the SNP heritability".

"The projection suggests the predictive power of a polygenic score constructed using weights from a discovery sample of 2M individuals comes very close to the theoretical upper bound given by the SNP heritability."

David Cesarini and Peter M. Visscher 2017 (3)

David Cesarini and Peter M. Visscher. (2017). Genetics and educational attainment. npj Science of Learning 2:4. https://doi.org/10.1038/s41539-017-0005-6

q2 · i? · review · r2

Review of published SNP-heritability estimates: common variants account for "around 25% of variation in traits such as BMI and educational attainment", the bound for PGSs built from common variants.

"Published estimates suggest common variants account for about 50% of variation in human height, 21 and around 25% of variation in traits such as BMI and educational attainment."

Discussion

Page metadata
Field Value
type claim
id pgs-predictive-power-increases-with-discovery-sample-size
title Polygenic score predictive power for educational attainment increases with discovery sample size and is projected to approach the SNP heritability bound
description Polygenic score predictive power for educational attainment increases with discovery sample size and is projected to approach the SNP heritability bound
status review
evidence_strength moderate
newest_evidence 2017
generated by process:wiki-ingest on 2026-10-27
trust unverified — no one has confirmed this page's content
sources 3 — david-cesarini-and-peter-m-visscher-2017, david-cesarini-and-peter-m-visscher-2017-2, david-cesarini-and-peter-m-visscher-2017-3

Frontmatter is the page's machine-readable record — see the Schema & Guide.