Conditional frequency spectra as a tool for studying selection on complex traits in biobanks DOI Creative Commons
Roshni Patel, Clemens L. Weiß,

Huisheng Zhu

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: June 17, 2024

Abstract Natural selection on complex traits is difficult to study in part due the ascertainment inherent genome-wide association studies (GWAS). The power detect a trait-associated variant GWAS function of frequency and effect size — but for under selection, determines strength against it, constraining its frequency. To account ascertainment, we propose studying joint distribution allele frequencies across populations, conditional cohort. Before considering these spectra, first characterized impact non-equilibrium demography dynamics forwards backwards time. We then used results understand spectra realistic human demography. Finally, investigated empirical variants associated with 106 traits, finding compelling evidence either stabilizing or purifying selection. Our provide insight into polygenic score portability other properties ascertained GWAS, highlighting utility spectra.

Language: Английский

Principles and methods for transferring polygenic risk scores across global populations DOI
Linda Kachuri, Nilanjan Chatterjee, Jibril Hirbo

et al.

Nature Reviews Genetics, Journal Year: 2023, Volume and Issue: 25(1), P. 8 - 25

Published: Aug. 24, 2023

Language: Английский

Citations

133

The schizophrenia syndrome, circa 2024: What we know and how that informs its nature DOI Open Access

Rajiv Tandon,

Henry A. Nasrallah, Schahram Akbarian

et al.

Schizophrenia Research, Journal Year: 2023, Volume and Issue: 264, P. 1 - 28

Published: Dec. 12, 2023

Language: Английский

Citations

60

Genomic findings in schizophrenia and their implications DOI Creative Commons
Michael J. Owen, Sophie E. Legge, Elliott Rees

et al.

Molecular Psychiatry, Journal Year: 2023, Volume and Issue: 28(9), P. 3638 - 3647

Published: Sept. 1, 2023

Abstract There has been substantial progress in understanding the genetics of schizophrenia over past 15 years. This revealed a highly polygenic condition with majority currently explained heritability coming from common alleles small effect but additional contributions rare copy number and coding variants. Many specific genes loci have implicated that provide firm basis upon which mechanistic research can proceed. These point to disturbances neuronal, particularly synaptic, functions are not confined brain regions circuits. Genetic findings also nature schizophrenia’s close relationship other conditions, bipolar disorder childhood neurodevelopmental disorders, provided an explanation for how risk persist population face reduced fecundity. Current genomic approaches only potentially explain around 40% heritability, proportion this is attributable robustly identified loci. The extreme polygenicity poses challenges biological mechanisms. high degree pleiotropy points need more transdiagnostic shortcomings current diagnostic criteria as means delineating biologically distinct strata. It inferring causality observational experimental studies both humans model systems. Finally, Eurocentric bias needs be rectified maximise benefits ensure these felt across diverse communities. Further advances likely come through application new emerging technologies, such whole-genome long-read sequencing, large samples. Substantive will require parallel functional genomics proteomics applied developmental stages. For efforts succeed identifying disease mechanisms defining novel strata they combined sufficiently granular phenotypic data.

Language: Английский

Citations

58

Multi-omic profiling of the developing human cerebral cortex at the single-cell level DOI Creative Commons
Kaiyi Zhu, Jaroslav Bendl, Samir Rahman

et al.

Science Advances, Journal Year: 2023, Volume and Issue: 9(41)

Published: Oct. 12, 2023

The cellular complexity of the human brain is established via dynamic changes in gene expression throughout development that mediated, part, by spatiotemporal activity cis-regulatory elements (CREs). We simultaneously profiled and chromatin accessibility 45,549 cortical nuclei across six broad developmental time points from fetus to adult. identified cell type-specific domains which highly correlated with expression. Differentiation pseudotime trajectory analysis indicates at CREs precedes transcription structure play a critical role neuronal lineage commitment. In addition, we mapped temporally specific genetic loci implicated neuropsychiatric traits, including schizophrenia bipolar disorder. Together, our results describe complex regulation composition stages determination shed light on impact alterations disease.

Language: Английский

Citations

57

Common genetic factors among autoimmune diseases DOI
Adil Harroud, David A. Hafler

Science, Journal Year: 2023, Volume and Issue: 380(6644), P. 485 - 490

Published: May 4, 2023

Autoimmune diseases display a high degree of comorbidity within individuals and families, suggesting shared risk factors. Over the past 15 years, genome-wide association studies have established polygenic basis these common conditions revealed widespread sharing genetic effects, indicative immunopathology. Despite ongoing challenges in determining precise genes molecular consequences variants, functional experiments integration with multimodal genomic data are providing valuable insights into key immune cells pathways driving diseases, potential therapeutic implications. Moreover, ancient populations shedding light on contribution pathogen-driven selection pressures to increased prevalence autoimmune disease. This Review summarizes current understanding disease genetics, including mechanisms, evolutionary origins.

Language: Английский

Citations

47

Whole genome sequencing in clinical practice DOI Creative Commons
Frederik Otzen Bagger,

Line Borgwardt,

Andreas Sand Jespersen

et al.

BMC Medical Genomics, Journal Year: 2024, Volume and Issue: 17(1)

Published: Jan. 29, 2024

Abstract Whole genome sequencing (WGS) is becoming the preferred method for molecular genetic diagnosis of rare and unknown diseases identification actionable cancer drivers. Compared to other methods, WGS captures most genomic variation eliminates need sequential testing. Whereas, laboratory requirements are similar conventional genetics, amount data large requires a comprehensive computational storage infrastructure in order facilitate processing within clinically relevant timeframe. The output single analyses roughly 5 MIO variants interpretation involves specialized staff collaborating with clinical specialists provide standard care reports. Although field continuously refining standards variant classification, there still unresolved issues associated application. review provides an overview practice - describing technology current applications as well challenges connected processing, reporting.

Language: Английский

Citations

42

Recent advances in polygenic scores: translation, equitability, methods and FAIR tools DOI Creative Commons
Ruidong Xiang, Martin Kelemen, Yu Xu

et al.

Genome Medicine, Journal Year: 2024, Volume and Issue: 16(1)

Published: Feb. 19, 2024

Abstract Polygenic scores (PGS) can be used for risk stratification by quantifying individuals’ genetic predisposition to disease, and many potentially clinically useful applications have been proposed. Here, we review the latest potential benefits of PGS in clinic challenges implementation. could augment through combined use with traditional factors (demographics, disease-specific factors, family history, etc.), support diagnostic pathways, predict groups therapeutic benefits, increase efficiency clinical trials. However, there exist maximizing utility PGS, including FAIR (Findable, Accessible, Interoperable, Reusable) standardized sharing genomic data needed develop recalculate equitable performance across populations ancestries, generation robust reproducible calculations, responsible communication interpretation results. We outline how these may overcome analytically more diverse as well highlight sustained community efforts achieve equitable, impactful, healthcare.

Language: Английский

Citations

30

High-dimensional phenotyping to define the genetic basis of cellular morphology DOI Creative Commons
Matthew Tegtmeyer, Jatin Arora, Samira Asgari

et al.

Nature Communications, Journal Year: 2024, Volume and Issue: 15(1)

Published: Jan. 6, 2024

Abstract The morphology of cells is dynamic and mediated by genetic environmental factors. Characterizing how variation impacts cell can provide an important link between disease association cellular function. Here, we combine genomic sequencing high-content imaging approaches on iPSCs from 297 unique donors to investigate the relationship variants map what term morphological quantitative trait loci (cmQTLs). We identify novel associations rare protein altering in WASF2 , TSPAN15 PRLR with several traits related shape, nucleic granularity, mitochondrial distribution. Knockdown these genes CRISPRi confirms their role morphology. Analysis common yields one significant nominate over 300 suggestive evidence (P < 10 −6 ) or more traits. then use data make predictions about sample size requirements for increasing discovery studies. conclude that, similar molecular phenotypes, profiling yield insight function variants.

Language: Английский

Citations

29

Genetic variation across and within individuals DOI
Zhi Yu, Tim H. H. Coorens, Md Mesbah Uddin

et al.

Nature Reviews Genetics, Journal Year: 2024, Volume and Issue: 25(8), P. 548 - 562

Published: March 28, 2024

Language: Английский

Citations

22

Genetic and molecular architecture of complex traits DOI Creative Commons
Tuuli Lappalainen, Yang Li, Sohini Ramachandran

et al.

Cell, Journal Year: 2024, Volume and Issue: 187(5), P. 1059 - 1075

Published: Feb. 1, 2024

Language: Английский

Citations

21