Omid Sadeghi-Alavijeh, Melanie My Chan, Gabriel T Doctor, Catalin D Voinescu, Alexander Stuckey, Athanasios Kousathanas, Alexander T Ho, Horia C Stanescu, Detlef Bockenhauer, Richard N Sandford, Adam P Levine, Daniel P Gale
{"title":"利用全国范围的全基因组测序量化囊性肾病的变异贡献。","authors":"Omid Sadeghi-Alavijeh, Melanie My Chan, Gabriel T Doctor, Catalin D Voinescu, Alexander Stuckey, Athanasios Kousathanas, Alexander T Ho, Horia C Stanescu, Detlef Bockenhauer, Richard N Sandford, Adam P Levine, Daniel P Gale","doi":"10.1172/JCI181467","DOIUrl":null,"url":null,"abstract":"<p><p>BACKGROUNDCystic kidney disease (CyKD) is a predominantly familial disease in which gene discovery has been led by family-based and candidate gene studies, an approach that is susceptible to ascertainment and other biases.METHODSUsing whole-genome sequencing data from 1,209 cases and 26,096 ancestry-matched controls participating in the 100,000 Genomes Project, we adopted hypothesis-free approaches to generate quantitative estimates of disease risk for each genetic contributor to CyKD, across genes, variant types and allelic frequencies.RESULTSIn 82.3% of cases, a qualifying potentially disease-causing rare variant in an established gene was found. There was an enrichment of rare coding, splicing, and structural variants in known CyKD genes, with statistically significant gene-based signals in COL4A3 and (monoallelic) PKHD1. Quantification of disease risk for each gene (with replication in the separate UK Biobank study) revealed substantially lower risk associated with genes more recently associated with autosomal dominant polycystic kidney disease, with odds ratios for some below what might usually be regarded as necessary for classical Mendelian inheritance. Meta-analysis of common variants did not reveal significant associations, but suggested this category of variation contributes 3%-9% to the heritability of CyKD across European ancestries.CONCLUSIONBy providing unbiased quantification of risk effects per gene, this research suggests that not all rare variant genetic contributors to CyKD are equally likely to manifest as a Mendelian trait in families. This information may inform genetic testing and counseling in the clinic.</p>","PeriodicalId":15469,"journal":{"name":"Journal of Clinical Investigation","volume":null,"pages":null},"PeriodicalIF":13.3000,"publicationDate":"2024-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11444187/pdf/","citationCount":"0","resultStr":"{\"title\":\"Quantifying variant contributions in cystic kidney disease using national-scale whole-genome sequencing.\",\"authors\":\"Omid Sadeghi-Alavijeh, Melanie My Chan, Gabriel T Doctor, Catalin D Voinescu, Alexander Stuckey, Athanasios Kousathanas, Alexander T Ho, Horia C Stanescu, Detlef Bockenhauer, Richard N Sandford, Adam P Levine, Daniel P Gale\",\"doi\":\"10.1172/JCI181467\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>BACKGROUNDCystic kidney disease (CyKD) is a predominantly familial disease in which gene discovery has been led by family-based and candidate gene studies, an approach that is susceptible to ascertainment and other biases.METHODSUsing whole-genome sequencing data from 1,209 cases and 26,096 ancestry-matched controls participating in the 100,000 Genomes Project, we adopted hypothesis-free approaches to generate quantitative estimates of disease risk for each genetic contributor to CyKD, across genes, variant types and allelic frequencies.RESULTSIn 82.3% of cases, a qualifying potentially disease-causing rare variant in an established gene was found. There was an enrichment of rare coding, splicing, and structural variants in known CyKD genes, with statistically significant gene-based signals in COL4A3 and (monoallelic) PKHD1. Quantification of disease risk for each gene (with replication in the separate UK Biobank study) revealed substantially lower risk associated with genes more recently associated with autosomal dominant polycystic kidney disease, with odds ratios for some below what might usually be regarded as necessary for classical Mendelian inheritance. Meta-analysis of common variants did not reveal significant associations, but suggested this category of variation contributes 3%-9% to the heritability of CyKD across European ancestries.CONCLUSIONBy providing unbiased quantification of risk effects per gene, this research suggests that not all rare variant genetic contributors to CyKD are equally likely to manifest as a Mendelian trait in families. This information may inform genetic testing and counseling in the clinic.</p>\",\"PeriodicalId\":15469,\"journal\":{\"name\":\"Journal of Clinical Investigation\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":13.3000,\"publicationDate\":\"2024-08-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11444187/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Clinical Investigation\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1172/JCI181467\",\"RegionNum\":1,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"MEDICINE, RESEARCH & EXPERIMENTAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Clinical Investigation","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1172/JCI181467","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MEDICINE, RESEARCH & EXPERIMENTAL","Score":null,"Total":0}
Quantifying variant contributions in cystic kidney disease using national-scale whole-genome sequencing.
BACKGROUNDCystic kidney disease (CyKD) is a predominantly familial disease in which gene discovery has been led by family-based and candidate gene studies, an approach that is susceptible to ascertainment and other biases.METHODSUsing whole-genome sequencing data from 1,209 cases and 26,096 ancestry-matched controls participating in the 100,000 Genomes Project, we adopted hypothesis-free approaches to generate quantitative estimates of disease risk for each genetic contributor to CyKD, across genes, variant types and allelic frequencies.RESULTSIn 82.3% of cases, a qualifying potentially disease-causing rare variant in an established gene was found. There was an enrichment of rare coding, splicing, and structural variants in known CyKD genes, with statistically significant gene-based signals in COL4A3 and (monoallelic) PKHD1. Quantification of disease risk for each gene (with replication in the separate UK Biobank study) revealed substantially lower risk associated with genes more recently associated with autosomal dominant polycystic kidney disease, with odds ratios for some below what might usually be regarded as necessary for classical Mendelian inheritance. Meta-analysis of common variants did not reveal significant associations, but suggested this category of variation contributes 3%-9% to the heritability of CyKD across European ancestries.CONCLUSIONBy providing unbiased quantification of risk effects per gene, this research suggests that not all rare variant genetic contributors to CyKD are equally likely to manifest as a Mendelian trait in families. This information may inform genetic testing and counseling in the clinic.
期刊介绍:
The Journal of Clinical Investigation, established in 1924 by the ASCI, is a prestigious publication that focuses on breakthroughs in basic and clinical biomedical science, with the goal of advancing the field of medicine. With an impressive Impact Factor of 15.9 in 2022, it is recognized as one of the leading journals in the "Medicine, Research & Experimental" category of the Web of Science.
The journal attracts a diverse readership from various medical disciplines and sectors. It publishes a wide range of research articles encompassing all biomedical specialties, including Autoimmunity, Gastroenterology, Immunology, Metabolism, Nephrology, Neuroscience, Oncology, Pulmonology, Vascular Biology, and many others.
The Editorial Board consists of esteemed academic editors who possess extensive expertise in their respective fields. They are actively involved in research, ensuring the journal's high standards of publication and scientific rigor.