Discovery and prioritization of variants and genes for kidney function in >1.2 million individuals
Identifying causal variants and genes in genome-wide association studies remains a challenge, an issue that is ameliorated with larger sample sizes. Here the authors meta-analyze kidney function genome-wide association studies to identify new loci and fine-map loci to home in on variants and genes i...
| Main Authors: | , , , , , , , , , , , , , , , , , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Publishing Group
2021-07-01
|
| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-021-24491-0 |
| id |
doaj-f9a7445b1e5c4729b2f89352fcb65ca1 |
|---|---|
| record_format |
Article |
| spelling |
doaj-f9a7445b1e5c4729b2f89352fcb65ca12021-07-18T11:43:10ZengNature Publishing GroupNature Communications2041-17232021-07-0112111710.1038/s41467-021-24491-0Discovery and prioritization of variants and genes for kidney function in >1.2 million individualsKira J. Stanzick0Yong Li1Pascal Schlosser2Mathias Gorski3Matthias Wuttke4Laurent F. Thomas5Humaira Rasheed6Bryce X. Rowan7Sarah E. Graham8Brett R. Vanderweff9Snehal B. Patil10VA Million Veteran ProgramCassiane Robinson-Cohen11John M. Gaziano12Christopher J. O’Donnell13Cristen J. Willer14Stein Hallan15Bjørn Olav Åsvold16Andre Gessner17Adriana M. Hung18Cristian Pattaro19Anna Köttgen20Klaus J. Stark21Iris M. Heid22Thomas W. Winkler23Department of Genetic Epidemiology, University of RegensburgInstitute of Genetic Epidemiology, Department of Biometry, Epidemiology and Medical Bioinformatics, Faculty of Medicine and Medical Center–University of FreiburgInstitute of Genetic Epidemiology, Department of Biometry, Epidemiology and Medical Bioinformatics, Faculty of Medicine and Medical Center–University of FreiburgDepartment of Genetic Epidemiology, University of RegensburgInstitute of Genetic Epidemiology, Department of Biometry, Epidemiology and Medical Bioinformatics, Faculty of Medicine and Medical Center–University of FreiburgK. G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, Faculty of Medicine and Health, NTNU, Norwegian University of Science and TechnologyK. G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, Faculty of Medicine and Health, NTNU, Norwegian University of Science and TechnologyDepartment of Biostatistics, Vanderbilt University Medical CenterDepartment of Internal Medicine, Division of Cardiology, University of MichiganDepartment of Biostatistics, University of Michigan School of Public HealthDepartment of Biostatistics, University of Michigan School of Public HealthDepartment of Veteran’s Affairs, Tennessee Valley Healthcare System (626)/Vanderbilt UniversityMassachusetts Area Veterans Epidemiology Research and Information Center (MAVERIC), VA Cooperative Studies Program, VA Boston Healthcare SystemVA Cooperative Studies Program, VA Boston Healthcare SystemDepartment of Internal Medicine, Division of Cardiology, University of MichiganDepartment of Clinical and Molecular Medicine, NTNU, Norwegian University of Science and TechnologyK. G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, Faculty of Medicine and Health, NTNU, Norwegian University of Science and TechnologyInstitute of Clinical Microbiology and Hygiene, University Hospital RegensburgDepartment of Veteran’s Affairs, Tennessee Valley Healthcare System (626)/Vanderbilt UniversityEurac Research, Institute for Biomedicine (affiliated with the University of Lübeck)Institute of Genetic Epidemiology, Department of Biometry, Epidemiology and Medical Bioinformatics, Faculty of Medicine and Medical Center–University of FreiburgDepartment of Genetic Epidemiology, University of RegensburgDepartment of Genetic Epidemiology, University of RegensburgDepartment of Genetic Epidemiology, University of RegensburgIdentifying causal variants and genes in genome-wide association studies remains a challenge, an issue that is ameliorated with larger sample sizes. Here the authors meta-analyze kidney function genome-wide association studies to identify new loci and fine-map loci to home in on variants and genes involved in kidney function.https://doi.org/10.1038/s41467-021-24491-0 |
| collection |
DOAJ |
| language |
English |
| format |
Article |
| sources |
DOAJ |
| author |
Kira J. Stanzick Yong Li Pascal Schlosser Mathias Gorski Matthias Wuttke Laurent F. Thomas Humaira Rasheed Bryce X. Rowan Sarah E. Graham Brett R. Vanderweff Snehal B. Patil VA Million Veteran Program Cassiane Robinson-Cohen John M. Gaziano Christopher J. O’Donnell Cristen J. Willer Stein Hallan Bjørn Olav Åsvold Andre Gessner Adriana M. Hung Cristian Pattaro Anna Köttgen Klaus J. Stark Iris M. Heid Thomas W. Winkler |
| spellingShingle |
Kira J. Stanzick Yong Li Pascal Schlosser Mathias Gorski Matthias Wuttke Laurent F. Thomas Humaira Rasheed Bryce X. Rowan Sarah E. Graham Brett R. Vanderweff Snehal B. Patil VA Million Veteran Program Cassiane Robinson-Cohen John M. Gaziano Christopher J. O’Donnell Cristen J. Willer Stein Hallan Bjørn Olav Åsvold Andre Gessner Adriana M. Hung Cristian Pattaro Anna Köttgen Klaus J. Stark Iris M. Heid Thomas W. Winkler Discovery and prioritization of variants and genes for kidney function in >1.2 million individuals Nature Communications |
| author_facet |
Kira J. Stanzick Yong Li Pascal Schlosser Mathias Gorski Matthias Wuttke Laurent F. Thomas Humaira Rasheed Bryce X. Rowan Sarah E. Graham Brett R. Vanderweff Snehal B. Patil VA Million Veteran Program Cassiane Robinson-Cohen John M. Gaziano Christopher J. O’Donnell Cristen J. Willer Stein Hallan Bjørn Olav Åsvold Andre Gessner Adriana M. Hung Cristian Pattaro Anna Köttgen Klaus J. Stark Iris M. Heid Thomas W. Winkler |
| author_sort |
Kira J. Stanzick |
| title |
Discovery and prioritization of variants and genes for kidney function in >1.2 million individuals |
| title_short |
Discovery and prioritization of variants and genes for kidney function in >1.2 million individuals |
| title_full |
Discovery and prioritization of variants and genes for kidney function in >1.2 million individuals |
| title_fullStr |
Discovery and prioritization of variants and genes for kidney function in >1.2 million individuals |
| title_full_unstemmed |
Discovery and prioritization of variants and genes for kidney function in >1.2 million individuals |
| title_sort |
discovery and prioritization of variants and genes for kidney function in >1.2 million individuals |
| publisher |
Nature Publishing Group |
| series |
Nature Communications |
| issn |
2041-1723 |
| publishDate |
2021-07-01 |
| description |
Identifying causal variants and genes in genome-wide association studies remains a challenge, an issue that is ameliorated with larger sample sizes. Here the authors meta-analyze kidney function genome-wide association studies to identify new loci and fine-map loci to home in on variants and genes involved in kidney function. |
| url |
https://doi.org/10.1038/s41467-021-24491-0 |
| work_keys_str_mv |
AT kirajstanzick discoveryandprioritizationofvariantsandgenesforkidneyfunctionin12millionindividuals AT yongli discoveryandprioritizationofvariantsandgenesforkidneyfunctionin12millionindividuals AT pascalschlosser discoveryandprioritizationofvariantsandgenesforkidneyfunctionin12millionindividuals AT mathiasgorski discoveryandprioritizationofvariantsandgenesforkidneyfunctionin12millionindividuals AT matthiaswuttke discoveryandprioritizationofvariantsandgenesforkidneyfunctionin12millionindividuals AT laurentfthomas discoveryandprioritizationofvariantsandgenesforkidneyfunctionin12millionindividuals AT humairarasheed discoveryandprioritizationofvariantsandgenesforkidneyfunctionin12millionindividuals AT brycexrowan discoveryandprioritizationofvariantsandgenesforkidneyfunctionin12millionindividuals AT sarahegraham discoveryandprioritizationofvariantsandgenesforkidneyfunctionin12millionindividuals AT brettrvanderweff discoveryandprioritizationofvariantsandgenesforkidneyfunctionin12millionindividuals AT snehalbpatil discoveryandprioritizationofvariantsandgenesforkidneyfunctionin12millionindividuals AT vamillionveteranprogram discoveryandprioritizationofvariantsandgenesforkidneyfunctionin12millionindividuals AT cassianerobinsoncohen discoveryandprioritizationofvariantsandgenesforkidneyfunctionin12millionindividuals AT johnmgaziano discoveryandprioritizationofvariantsandgenesforkidneyfunctionin12millionindividuals AT christopherjodonnell discoveryandprioritizationofvariantsandgenesforkidneyfunctionin12millionindividuals AT cristenjwiller discoveryandprioritizationofvariantsandgenesforkidneyfunctionin12millionindividuals AT steinhallan discoveryandprioritizationofvariantsandgenesforkidneyfunctionin12millionindividuals AT bjørnolavasvold discoveryandprioritizationofvariantsandgenesforkidneyfunctionin12millionindividuals AT andregessner discoveryandprioritizationofvariantsandgenesforkidneyfunctionin12millionindividuals AT adrianamhung discoveryandprioritizationofvariantsandgenesforkidneyfunctionin12millionindividuals AT cristianpattaro discoveryandprioritizationofvariantsandgenesforkidneyfunctionin12millionindividuals AT annakottgen discoveryandprioritizationofvariantsandgenesforkidneyfunctionin12millionindividuals AT klausjstark discoveryandprioritizationofvariantsandgenesforkidneyfunctionin12millionindividuals AT irismheid discoveryandprioritizationofvariantsandgenesforkidneyfunctionin12millionindividuals AT thomaswwinkler discoveryandprioritizationofvariantsandgenesforkidneyfunctionin12millionindividuals |
| _version_ |
1721295963668086784 |