Using genome-wide complex trait analysis to quantify 'missing heritability' in Parkinson's disease.

doi:10.1093/hmg/dds335

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

Using genome-wide complex trait analysis to quantify 'missing heritability' in Parkinson's disease.

Human molecular genetics - 15 Nov 2012

Keller Margaux F, Saad Mohamad, Bras Jose, Bettella Francesco, Nicolaou Nayia, Simón-Sánchez Javier, Mittag Florian, Büchel Finja, Sharma Manu, Gibbs J Raphael, Schulte Claudia, Moskvina Valentina, Durr Alexandra, Holmans Peter, Kilarski Laura L, Guerreiro Rita, Hernandez Dena G, Brice Alexis, Ylikotila Pauli, Stefánsson Hreinn, Majamaa Kari, Morris Huw R, Williams Nigel, Gasser Thomas, Heutink Peter, Wood Nicholas W, Hardy John, Martinez Maria, Singleton Andrew B, Nalls Michael A

Abstract excerpt

Genome-wide association studies (GWASs) have been successful at identifying single-nucleotide polymorphisms (SNPs) highly associated with common traits; however, a great deal of the heritable variation associated with common traits remains unaccounted for within the genome. Genome-wide complex trait analysis (GCTA) is a statistical method that applies a linear mixed model to estimate phenotypic variance of...

Read the complete abstract on PubMed

Topics

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

Share to Aged

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Aged, 80 and over

Share to Genetic Variation

Share to Genome-Wide Association Study

Share to Multifactorial Inheritance

Share to Parkinson Disease

Share to Quantitative Trait, Heritable

Share to White People

Source

Open in PubMed Open full text

Identifiers

PMID: 22892372
DOI: 10.1093/hmg/dds335
PMCID: PMC3576713

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 3 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Using genome-wide complex trait analysis to quantify 'missing heritability' in Parkinson's disease.PMID 22892372Read ↗

Using genome-wide complex trait analysis to quantify 'missing heritability' in Parkinson's diseaseSemantic proximity Read ↗

What have we learned from genome-wide association studies (GWAS) in Parkinson's disease?Semantic proximity Read ↗

Identification of novel risk loci, causal insights, and heritable risk for Parkinson's disease: a meta-analysis of genome-wide association studies.Semantic proximity Read ↗

Expanding Parkinson’s disease genetics: novel risk loci, genomic context, causal insights and heritable riskSemantic proximity Read ↗

Novel Parkinson’s Disease Genetic Risk Factors Within and Across European PopulationsSemantic proximity Read ↗

Progress in unraveling the genetic etiology of Parkinson disease in a genomic era.Semantic proximity Read ↗

Genetic Risk Profiling in Parkinson's Disease and Utilizing Genetics to Gain Insight into Disease-Related Biological Pathways.Semantic proximity Read ↗

Genetic risk factors in Parkinson's disease.Semantic proximity Read ↗

Imputation of sequence variants for identification of genetic risks for Parkinson's disease: a meta-analysis of genome-wide association studies.Semantic proximity Read ↗

Missing heritability and strategies for finding the underlying causes of complex disease.Semantic proximity Read ↗

Risk prediction for complex diseases: application to Parkinson disease.Semantic proximity Read ↗

Analysis of rare Parkinson’s disease variants in millions of peopleSemantic proximity Read ↗

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