Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Genome partitioning of genetic variation for height from 11,214 sibling pairs.

American journal of human genetics - 1 Nov 2007

Visscher Peter M, Macgregor Stuart, Benyamin Beben, Zhu Gu, Gordon Scott, Medland Sarah, Hill William G, Hottenga Jouke-Jan, Willemsen Gonneke, Boomsma Dorret I, Liu Yao-Zhong, Deng Hong-Wen, Montgomery Grant W, Martin Nicholas G

Abstract excerpt

Height has been used for more than a century as a model by which to understand quantitative genetic variation in humans. We report that the entire genome appears to contribute to its additive genetic variance. We used genotypes and phenotypes of 11,214 sibling pairs from three countries to partition additive genetic variance across the genome. Using genome scans to estimate the proportion of the genomes of each...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Australia
Share to Body Height

Methodology Data sources Editorial policy Privacy Delete account & data About Contact Helena Bioinformatics

Share to Chromosomes, Human

Share to Databases, Genetic

Share to Genome, Human

Share to Quantitative Trait, Heritable

Share to Siblings

Share to United States

Source

Open in PubMed Open full text

Identifiers

PMID: 17924350
DOI: 10.1086/522934
PMCID: PMC2265649

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Genome partitioning of genetic variation for height from 11,214 sibling pairs.PMID 17924350Read ↗

Whole genome approaches to quantitative genetics.Semantic proximity Read ↗

Analysis of 3.6 million individuals yields minimal evidence of pairwise genetic interactions for heightSemantic proximity Read ↗

From Galton to GWAS: quantitative genetics of human height.Semantic proximity Read ↗

Inference of the genetic architecture underlying BMI and height with the use of 20,240 sibling pairs.Semantic proximity Read ↗

Genome partitioning of genetic variation for complex traits using common SNPs.Semantic proximity Read ↗

A Saturated Map of Common Genetic Variants Associated with Human Height from 5.4 Million Individuals of Diverse AncestriesSemantic proximity Read ↗

A saturated map of common genetic variants associated with human height.Semantic proximity Read ↗

Assumption-free estimation of heritability from genome-wide identity-by-descent sharing between full siblings.Semantic proximity Read ↗

Recent progress in the study of the genetics of height.Semantic proximity Read ↗

Hundreds of variants clustered in genomic loci and biological pathways affect human height.Semantic proximity Read ↗

Quantification of genetic components of population differentiation in UK Biobank traits reveals signals of polygenic selectionSemantic proximity Read ↗

Genome-wide association approaches for identifying loci for human height genes.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.