Articles with "gwas meta" as a keyword



Photo by sxy_selia from unsplash

Erratum: GWAS meta-analysis reveals novel loci and genetic correlates for general cognitive function: a report from the COGENT consortium

Sign Up to like & get
recommendations!
Published in 2017 at "Molecular Psychiatry"

DOI: 10.1038/mp.2017.197

Abstract: This corrects the article DOI: dx.doi.org/10.1038 read more here.

Keywords: analysis reveals; gwas meta; reveals novel; erratum gwas ... See more keywords
Photo from wikipedia

GWAS meta-analyses clarify genetics of cervical phenotypes and inform risk stratification for cervical cancer.

Sign Up to like & get
recommendations!
Published in 2023 at "Human molecular genetics"

DOI: 10.1093/hmg/ddad043

Abstract: Abstract Genome-wide association studies (GWAS) have successfully identified associations for cervical cancer, but the underlying mechanisms of cervical biology and pathology remain uncharacterised. Our GWAS meta-analyses fill this gap, as we characterise the genetic architecture… read more here.

Keywords: cervical cancer; gwas meta; meta analyses; risk ... See more keywords
Photo from wikipedia

GWAS meta-analysis of 16 790 patients with Barrett’s oesophagus and oesophageal adenocarcinoma identifies 16 novel genetic risk loci and provides insights into disease aetiology beyond the single marker level

Sign Up to like & get
recommendations!
Published in 2022 at "Gut"

DOI: 10.1136/gutjnl-2021-326698

Abstract: Objective Oesophageal cancer (EC) is the sixth leading cause of cancer-related deaths. Oesophageal adenocarcinoma (EA), with Barrett’s oesophagus (BE) as a precursor lesion, is the most prevalent EC subtype in the Western world. This study… read more here.

Keywords: meta analysis; risk loci; gwas meta; disease ... See more keywords
Photo by nspm from unsplash

SMetABF: A rapid algorithm for Bayesian GWAS meta-analysis with a large number of studies included

Sign Up to like & get
recommendations!
Published in 2022 at "PLoS Computational Biology"

DOI: 10.1371/journal.pcbi.1009948

Abstract: Bayesian methods are widely used in the GWAS meta-analysis. But the considerable consumption in both computing time and memory space poses great challenges for large-scale meta-analyses. In this research, we propose an algorithm named SMetABF… read more here.

Keywords: bayesian gwas; gwas meta; meta; meta analysis ... See more keywords