Trans-ethnic GWAS meta-analysis of idiopathic spermatogenic failure highlights the immune-mediated nature of Sertoli cell-only syndrome DOI Creative Commons

Sara González-Muñoz,

Long Yi, Andrea Guzmán‐Jiménez

и другие.

Communications Biology, Год журнала: 2025, Номер 8(1)

Опубликована: Апрель 5, 2025

Non-obstructive azoospermia, a severe form of male infertility caused by spermatogenic failure (SPGF), has largely unknown genetic basis across ancestries. To our knowledge, this is the first trans-ethnic meta-analysis genome-wide association studies on SPGF, involving 2255 men with idiopathic SPGF and 3608 controls from European Asian populations. Using logistic regression inverse variance methods, we identify two significant associations Sertoli cell-only (SCO) syndrome, most extreme phenotype. The G allele rs34915133, in major histocompatibility complex class II region, significantly increases SCO risk (P = 5.25E-10, OR 1.57), supporting potential immune-related cause. Additionally, rs10842262 variant SOX5 gene region also marker 5.29E-09, 0.72), highlighting key role reproductive function. Our findings reveal shared factors ancestries provide insights into molecular mechanisms underlying SCO.

Язык: Английский

Annotating and prioritizing human non-coding variants with RegulomeDB v.2 DOI Open Access
Shengcheng Dong, Nanxiang Zhao,

Emma Spragins

и другие.

Nature Genetics, Год журнала: 2023, Номер 55(5), С. 724 - 726

Опубликована: Апрель 25, 2023

Язык: Английский

Процитировано

90

CAGI, the Critical Assessment of Genome Interpretation, establishes progress and prospects for computational genetic variant interpretation methods DOI Creative Commons
Shantanu Jain, Constantina Bakolitsa, Steven E. Brenner

и другие.

Genome biology, Год журнала: 2024, Номер 25(1)

Опубликована: Фев. 22, 2024

Abstract Background The Critical Assessment of Genome Interpretation (CAGI) aims to advance the state-of-the-art for computational prediction genetic variant impact, particularly where relevant disease. five complete editions CAGI community experiment comprised 50 challenges, in which participants made blind predictions phenotypes from data, and these were evaluated by independent assessors. Results Performance was strong clinical pathogenic variants, including some difficult-to-diagnose cases, extends interpretation cancer-related variants. Missense methods able estimate biochemical effects with increasing accuracy. regulatory variants complex trait disease risk less definitive indicates performance potentially suitable auxiliary use clinic. Conclusions show that while current are imperfect, they have major utility research applications. Emerging increasingly large, robust datasets training assessment promise further progress ahead.

Язык: Английский

Процитировано

39

The landscape of host genetic factors involved in immune response to common viral infections DOI Creative Commons
Linda Kachuri, Stephen Francis, Maike L. Morrison

и другие.

Genome Medicine, Год журнала: 2020, Номер 12(1)

Опубликована: Окт. 27, 2020

Abstract Background Humans and viruses have co-evolved for millennia resulting in a complex host genetic architecture. Understanding the mechanisms of immune response to viral infection provides insight into disease etiology therapeutic opportunities. Methods We conducted comprehensive study including genome-wide transcriptome-wide association analyses identify loci associated with immunoglobulin G antibody 28 antigens 16 using serological data from 7924 European ancestry participants UK Biobank cohort. Results Signals human leukocyte antigen (HLA) class II region dominated landscape response, 40 independent 14 classical alleles, 7 which exhibited pleiotropic effects across families. identified specific amino acid (AA) residues that are seroreactivity, strongest associations presented range AA positions within DRβ1 at 11, 13, 71, 74 Epstein-Barr virus (EBV), Varicella zoster (VZV), herpesvirus 7, (HHV7), Merkel cell polyomavirus (MCV). Genome-wide discovered novel outside HLA ( P < 5.0 × 10 −8 ), FUT2 (19q13.33) BK (BKV), STING1 (5q31.2) MCV, CXCR5 (11q23.3) TBKBP1 (17q21.32) HHV7. Transcriptome-wide 114 genes infection, 12 region, ECSCR : = −15 (MCV), NTN5 1.1 −9 P2RY13 EBV nuclear antigen. also demonstrated pleiotropy between diseases, autoimmune disorders cancer neurodegenerative psychiatric conditions. Conclusions Our confirms importance elucidates determinants beyond contribute host-virus interaction.

Язык: Английский

Процитировано

98

Genome-wide association study identifies Sjögren’s risk loci with functional implications in immune and glandular cells DOI Creative Commons
Bhuwan Khatri, Kandice L. Tessneer, Astrid Rasmussen

и другие.

Nature Communications, Год журнала: 2022, Номер 13(1)

Опубликована: Июль 27, 2022

Abstract Sjögren’s disease is a complex autoimmune with twelve established susceptibility loci. This genome-wide association study (GWAS) identifies ten novel significant (GWS) regions in cases of European ancestry: CD247 , NAB1 PTTG1-MIR146A PRDM1-ATG5 TNFAIP3 XKR6 MAPT- CRHR1 RPTOR-CHMP6-BAIAP6 TYK2 SYNGR1 . Polygenic risk scores yield predictability (AUROC = 0.71) and relative 12.08. Interrogation bioinformatics databases refine the associations, define local regulatory networks GWS SNPs from 95% credible set, expand implicated gene list to >40. Many are eQTLs for genes within topologically associated domains immune cells and/or main target tissue, salivary glands.

Язык: Английский

Процитировано

65

Artificial intelligence-driven biomedical genomics DOI Open Access
Kairui Guo, Mengjia Wu, Zelia Soo

и другие.

Knowledge-Based Systems, Год журнала: 2023, Номер 279, С. 110937 - 110937

Опубликована: Сен. 7, 2023

Язык: Английский

Процитировано

25

Decoding Non-coding Variants: Recent Approaches to Studying Their Role in Gene Regulation and Human Diseases DOI Creative Commons
Edwin G. Peña-Martínez, José A. Rodríguez‐Martínez

Frontiers in Bioscience-Scholar, Год журнала: 2024, Номер 16(1)

Опубликована: Март 1, 2024

Genome-wide association studies (GWAS) have mapped over 90% of disease- and quantitative-trait-associated variants within the non-coding genome. Non-coding regulatory DNA (e.g., promoters enhancers) RNA 5′ 3′ UTRs splice sites) are essential in regulating temporal tissue-specific gene expressions. can potentially impact phenotype an organism by altering molecular recognition cis-regulatory elements, leading to dysregulation. However, determining causality between variants, regulation, human disease has remained challenging. Experimental computational methods been developed understand mechanism involved variant interference at transcriptional post-transcriptional levels. This review discusses recent approaches evaluating disease-associated single-nucleotide (SNVs) determines their on transcription factor (TF) binding, expression, chromatin conformation, translation.

Язык: Английский

Процитировано

16

Reports from the fifth edition of CAGI: The Critical Assessment of Genome Interpretation DOI
Gaia Andreoletti,

Lipika R. Pal,

John Moult

и другие.

Human Mutation, Год журнала: 2019, Номер 40(9), С. 1197 - 1201

Опубликована: Июль 23, 2019

Interpretation of genomic variation plays an essential role in the analysis cancer and monogenic disease, increasingly also complex trait with applications ranging from basic research to clinical decisions. Many computational impact prediction methods have been developed, yet field lacks a clear consensus on their appropriate use interpretation. The Critical Assessment Genome (CAGI, /'kā-jē/) is community experiment objectively assess for predicting phenotypic impacts variation. CAGI participants are provided genetic variants make blind predictions resulting phenotype. Independent assessors evaluate by comparing experimental data. has completed five editions goals establishing state art genome interpretation encouraging new methodological developments. This special issue (https://onlinelibrary.wiley.com/toc/10981004/2019/40/9) comprises reports CAGI, focusing fifth edition that culminated conference took place 5 7 July 2018. CAGI5 was comprised 14 challenges engaged hundreds dozen countries. had notable increase splicing expression regulatory variant challenges, while continuing genomics, as well disease datasets missense diseases Pompe schizophrenia. Full information about at https://genomeinterpretation.org.

Язык: Английский

Процитировано

58

Genetic determinants of blood-cell traits influence susceptibility to childhood acute lymphoblastic leukemia DOI Creative Commons
Linda Kachuri, Soyoung Jeon, Andrew T. DeWan

и другие.

The American Journal of Human Genetics, Год журнала: 2021, Номер 108(10), С. 1823 - 1835

Опубликована: Авг. 31, 2021

Язык: Английский

Процитировано

52

Systematic investigation of allelic regulatory activity of schizophrenia-associated common variants DOI Creative Commons
Jessica C. McAfee, Sool Lee, Jiseok Lee

и другие.

Cell Genomics, Год журнала: 2023, Номер 3(10), С. 100404 - 100404

Опубликована: Сен. 15, 2023

Genome-wide association studies (GWASs) have successfully identified 145 genomic regions that contribute to schizophrenia risk, but linkage disequilibrium makes it challenging discern causal variants. We performed a massively parallel reporter assay (MPRA) on 5,173 fine-mapped GWAS variants in primary human neural progenitors and 439 with allelic regulatory effects (MPRA-positive variants). Transcription factor binding had modest predictive power, while fine-map posterior probability, enhancer overlap, evolutionary conservation failed predict MPRA-positive Furthermore, 64% of did not exhibit expressive quantitative trait loci signature, suggesting MPRA could identify yet unexplored potentials. To the combinatorial effect gene regulation, we propose an accessibility-by-contact model combines MPRA-measured activity neuronal chromatin architecture.

Язык: Английский

Процитировано

24

Dissecting the genetic overlap between severe mental disorders and markers of cellular aging: Identification of pleiotropic genes and druggable targets DOI
Claudia Pisanu,

Donatella Congiu,

Anna Maria Meloni

и другие.

Neuropsychopharmacology, Год журнала: 2024, Номер 49(6), С. 1033 - 1041

Опубликована: Фев. 24, 2024

Язык: Английский

Процитировано

9