Loic Yengo
University of Queensland
Genome-wide association studyEndocrinologyGeneticsLocus (genetics)Biology
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Publications 167
#1Biaty RaymondH-Index: 2
#2Loic Yengo (UQ: University of Queensland)H-Index: 43
Last. Peter M. Visscher (UQ: University of Queensland)H-Index: 109
view all 8 authors...
Genome-Wide Association Studies (GWAS) in large human cohorts have identified thousands of loci associated with complex traits and diseases. For identifying the genes and gene-associated variants that underlie complex traits in livestock, especially where sample sizes are limiting, it may help to integrate the results of GWAS for equivalent traits in humans as prior information. In this study, we sought to investigate the usefulness of results from a GWAS on human height as prior information for...
#1Vincenzo Muto (University of Liège)H-Index: 11
#2Ekaterina Koshmanova (University of Liège)
Last. Marie BrandewinderH-Index: 2
view all 28 authors...
A bidirectional detrimental relationship between sleep alteration and Alzheimer9s disease (AD) has been reported in cognitively normal older adults. Here, we tested whether a similar association could be detected in young adults, decades before typical AD symptom onset. We investigated associations between sleep endophenotypes and genome-wide Polygenic Risk Scores (PRS) for AD in 363 young men (22.1 +/- 2.7y) devoid of sleep and cognitive disorders. AD PRS was associated with higher slow wave en...
#1Ying Wang (UQ: University of Queensland)H-Index: 46
#1Ying Wang (UQ: University of Queensland)H-Index: 1
Last. Loic Yengo (UQ: University of Queensland)H-Index: 43
view all 6 authors...
Polygenic scores (PGS) have been widely used to predict complex traits and risk of diseases using variants identified from genome-wide association studies (GWASs). To date, most GWASs have been conducted in populations of European ancestry, which limits the use of GWAS-derived PGS in non-European populations. Here, we develop a new theory to predict the relative accuracy (RA, relative to the accuracy in populations of the same ancestry as the discovery population) of PGS across ancestries. We us...
2 CitationsSource
#1Loic Yengo (UQ: University of Queensland)H-Index: 43
#2Morgan J. Sidari (UQ: University of Queensland)H-Index: 3
Last. Brendan P. Zietsch (UQ: University of Queensland)H-Index: 21
view all 6 authors...
Using data from 5500 adolescents from the National Longitudinal Study of Adolescent to Adult Health, Domingue et al. (Proc Natl Acad Sci 25:256., 2018) claimed to show that friends are genetically more similar to one another than randomly selected peers, beyond the confounding effects of population stratification by ancestry. The authors also claimed to show ‘social-genetic’ effects, whereby individuals’ educational attainment (EA) is influenced by their friends’ genes. We argue that neither cla...
#1Jian-ping Guo (UQ: University of Queensland)H-Index: 3
#2Andrew Bakshi (UQ: University of Queensland)H-Index: 1
Last. Jian Yang (WMU: Wenzhou Medical College)H-Index: 113
view all 8 authors...
Genome-wide association studies (GWAS) in samples of European ancestry have identified thousands of genetic variants associated with complex traits in humans. However, it remains largely unclear whether these associations can be used in non-European populations. Here, we seek to quantify the proportion of genetic variation for a complex trait shared between continental populations. We estimated the between-population correlation of genetic effects at all SNPs (rg) or genome-wide significant SNPs...
2 CitationsSource
#1Luke R. Lloyd-Jones (UQ: University of Queensland)H-Index: 10
#2Jian Zeng (UQ: University of Queensland)H-Index: 11
Last. Peter M. Visscher (UQ: University of Queensland)H-Index: 109
view all 15 authors...
Accurate prediction of an individual’s phenotype from their DNA sequence is one of the great promises of genomics and precision medicine. We extend a powerful individual-level data Bayesian multiple regression model (BayesR) to one that utilises summary statistics from genome-wide association studies (GWAS), SBayesR. In simulation and cross-validation using 12 real traits and 1.1 million variants on 350,000 individuals from the UK Biobank, SBayesR improves prediction accuracy relative to commonl...
13 CitationsSource
#1Abdel Abdellaoui (UvA: University of Amsterdam)H-Index: 4
#1Abdel Abdellaoui (UvA: University of Amsterdam)H-Index: 28
Last. Peter M. Visscher (UQ: University of Queensland)H-Index: 109
view all 13 authors...
Human DNA polymorphisms vary across geographic regions, with the most commonly observed variation reflecting distant ancestry differences. Here we investigate the geographic clustering of common genetic variants that influence complex traits in a sample of ~450,000 individuals from Great Britain. Of 33 traits analysed, 21 showed significant geographic clustering at the genetic level after controlling for ancestry, probably reflecting migration driven by socioeconomic status (SES). Alleles associ...
11 CitationsSource
#2Deepti JainH-Index: 14
Last. Peter M. VisscherH-Index: 109
view all 41 authors...
5 CitationsSource
#1Loic Yengo (UQ: University of Queensland)H-Index: 43
#2Naomi R. Wray (UQ: University of Queensland)H-Index: 79
Last. Peter M. Visscher (UQ: University of Queensland)H-Index: 109
view all 3 authors...
In most human societies, there are taboos and laws banning mating between first- and second-degree relatives, but actual prevalence and effects on health and fitness are poorly quantified. Here, we leverage a large observational study of ~450,000 participants of European ancestry from the UK Biobank (UKB) to quantify extreme inbreeding (EI) and its consequences. We use genotyped SNPs to detect large runs of homozygosity (ROH) and call EI when >10% of an individual’s genome comprise ROHs. We esti...
1 CitationsSource
#1Jian Zeng (UQ: University of Queensland)H-Index: 11
#2Angli Xue (UQ: University of Queensland)H-Index: 6
Last. Jian Yang (WMU: Wenzhou Medical College)H-Index: 97
view all 13 authors...
Understanding how natural selection has shaped the genetic architecture of complex traits and diseases is of importance in medical and evolutionary genetics. Bayesian methods have been developed using individual-level data to estimate multiple features of genetic architecture, including signatures of natural selection. Here, we present an enhanced method (SBayesS) that only requires GWAS summary statistics and incorporates functional genomic annotations. We analysed GWAS data with large sample s...
2 CitationsSource