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

doi:10.1016/j.ajhg.2013.10.005

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

Community

Back to search

Article

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

American journal of human genetics - 7 Nov 2013

Hemani Gibran, Yang Jian, Vinkhuyzen Anna, Powell Joseph E, Willemsen Gonneke, Hottenga Jouke-Jan, Abdellaoui Abdel, Mangino Massimo, Valdes Ana M, Medland Sarah E, Madden Pamela A, Heath Andrew C, Henders Anjali K, Nyholt Dale R, de Geus Eco J C, Magnusson Patrik K E, Ingelsson Erik, Montgomery Grant W, Spector Timothy D, Boomsma Dorret I, Pedersen Nancy L, Martin Nicholas G, Visscher Peter M

Abstract excerpt

Evidence that complex traits are highly polygenic has been presented by population-based genome-wide association studies (GWASs) through the identification of many significant variants, as well as by family-based de novo sequencing studies indicating that several traits have a large mutational target size. Here, using a third study design, we show results consistent with extreme polygenicity for body mass index...

Read the complete abstract on PubMed

Topics

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

Share to Body Height

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Body Mass Index

Share to Genetic Linkage

Share to Genetics, Population

Share to Genome, Human

Share to Quantitative Trait, Heritable

Share to Quantitative Trait Loci

Share to Siblings

Source

Open in PubMed Open full text

Identifiers

PMID: 24183453
DOI: 10.1016/j.ajhg.2013.10.005
PMCID: PMC3965855

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

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

Inference of the genetic architecture underlying BMI and height with the use of 20,240 sibling pairs.PMID 24183453Read ↗

Genetic architecture reconciles linkage and association studies of complex traits.Semantic proximity Read ↗

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

Meta-analysis of genome-wide association studies for height and body mass index in ∼700000 individuals of European ancestry.Semantic proximity Read ↗

Meta-analysis of genome-wide association studies for height and body mass index in ∼700,000 individuals of European ancestrySemantic proximity Read ↗

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

Common SNPs explain a large proportion of the heritability for human height.Semantic proximity Read ↗

Assessing the contribution of rare variants to complex trait heritability from whole-genome sequence data.Semantic proximity Read ↗

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

Within-sibship genome-wide association analyses decrease bias in estimates of direct genetic effects.Semantic proximity Read ↗

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

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