Integration of genome-wide association studies with biological knowledge identifies six novel genes related to kidney function.

نویسندگان

  • Daniel I Chasman
  • Christian Fuchsberger
  • Cristian Pattaro
  • Alexander Teumer
  • Carsten A Böger
  • Karlhans Endlich
  • Matthias Olden
  • Ming-Huei Chen
  • Adrienne Tin
  • Daniel Taliun
  • Man Li
  • Xiaoyi Gao
  • Mathias Gorski
  • Qiong Yang
  • Claudia Hundertmark
  • Meredith C Foster
  • Conall M O'Seaghdha
  • Nicole Glazer
  • Aaron Isaacs
  • Ching-Ti Liu
  • Albert V Smith
  • Jeffrey R O'Connell
  • Maksim Struchalin
  • Toshiko Tanaka
  • Guo Li
  • Andrew D Johnson
  • Hinco J Gierman
  • Mary F Feitosa
  • Shih-Jen Hwang
  • Elizabeth J Atkinson
  • Kurt Lohman
  • Marilyn C Cornelis
  • Asa Johansson
  • Anke Tönjes
  • Abbas Dehghan
  • Jean-Charles Lambert
  • Elizabeth G Holliday
  • Rossella Sorice
  • Zoltan Kutalik
  • Terho Lehtimäki
  • Tõnu Esko
  • Harshal Deshmukh
  • Sheila Ulivi
  • Audrey Y Chu
  • Federico Murgia
  • Stella Trompet
  • Medea Imboden
  • Stefan Coassin
  • Giorgio Pistis
  • Tamara B Harris
  • Lenore J Launer
  • Thor Aspelund
  • Gudny Eiriksdottir
  • Braxton D Mitchell
  • Eric Boerwinkle
  • Helena Schmidt
  • Margherita Cavalieri
  • Madhumathi Rao
  • Frank Hu
  • Ayse Demirkan
  • Ben A Oostra
  • Mariza de Andrade
  • Stephen T Turner
  • Jingzhong Ding
  • Jeanette S Andrews
  • Barry I Freedman
  • Franco Giulianini
  • Wolfgang Koenig
  • Thomas Illig
  • Christa Meisinger
  • Christian Gieger
  • Lina Zgaga
  • Tatijana Zemunik
  • Mladen Boban
  • Cosetta Minelli
  • Heather E Wheeler
  • Wilmar Igl
  • Ghazal Zaboli
  • Sarah H Wild
  • Alan F Wright
  • Harry Campbell
  • David Ellinghaus
  • Ute Nöthlings
  • Gunnar Jacobs
  • Reiner Biffar
  • Florian Ernst
  • Georg Homuth
  • Heyo K Kroemer
  • Matthias Nauck
  • Sylvia Stracke
  • Uwe Völker
  • Henry Völzke
  • Peter Kovacs
  • Michael Stumvoll
  • Reedik Mägi
  • Albert Hofman
  • Andre G Uitterlinden
  • Fernando Rivadeneira
  • Yurii S Aulchenko
  • Ozren Polasek
  • Nick Hastie
  • Veronique Vitart
  • Catherine Helmer
  • Jie Jin Wang
  • Bénédicte Stengel
  • Daniela Ruggiero
  • Sven Bergmann
  • Mika Kähönen
  • Jorma Viikari
  • Tiit Nikopensius
  • Michael Province
  • Shamika Ketkar
  • Helen Colhoun
  • Alex Doney
  • Antonietta Robino
  • Bernhard K Krämer
  • Laura Portas
  • Ian Ford
  • Brendan M Buckley
  • Martin Adam
  • Gian-Andri Thun
  • Bernhard Paulweber
  • Margot Haun
  • Cinzia Sala
  • Paul Mitchell
  • Marina Ciullo
  • Stuart K Kim
  • Peter Vollenweider
  • Olli Raitakari
  • Andres Metspalu
  • Colin Palmer
  • Paolo Gasparini
  • Mario Pirastu
  • J Wouter Jukema
  • Nicole M Probst-Hensch
  • Florian Kronenberg
  • Daniela Toniolo
  • Vilmundur Gudnason
  • Alan R Shuldiner
  • Josef Coresh
  • Reinhold Schmidt
  • Luigi Ferrucci
  • David S Siscovick
  • Cornelia M van Duijn
  • Ingrid B Borecki
  • Sharon L R Kardia
  • Yongmei Liu
  • Gary C Curhan
  • Igor Rudan
  • Ulf Gyllensten
  • James F Wilson
  • Andre Franke
  • Peter P Pramstaller
  • Rainer Rettig
  • Inga Prokopenko
  • Jacqueline Witteman
  • Caroline Hayward
  • Paul M Ridker
  • Afshin Parsa
  • Murielle Bochud
  • Iris M Heid
  • W H Linda Kao
  • Caroline S Fox
  • Anna Köttgen
چکیده

In conducting genome-wide association studies (GWAS), analytical approaches leveraging biological information may further understanding of the pathophysiology of clinical traits. To discover novel associations with estimated glomerular filtration rate (eGFR), a measure of kidney function, we developed a strategy for integrating prior biological knowledge into the existing GWAS data for eGFR from the CKDGen Consortium. Our strategy focuses on single nucleotide polymorphism (SNPs) in genes that are connected by functional evidence, determined by literature mining and gene ontology (GO) hierarchies, to genes near previously validated eGFR associations. It then requires association thresholds consistent with multiple testing, and finally evaluates novel candidates by independent replication. Among the samples of European ancestry, we identified a genome-wide significant SNP in FBXL20 (P = 5.6 × 10(-9)) in meta-analysis of all available data, and additional SNPs at the INHBC, LRP2, PLEKHA1, SLC3A2 and SLC7A6 genes meeting multiple-testing corrected significance for replication and overall P-values of 4.5 × 10(-4)-2.2 × 10(-7). Neither the novel PLEKHA1 nor FBXL20 associations, both further supported by association with eGFR among African Americans and with transcript abundance, would have been implicated by eGFR candidate gene approaches. LRP2, encoding the megalin receptor, was identified through connection with the previously known eGFR gene DAB2 and extends understanding of the megalin system in kidney function. These findings highlight integration of existing genome-wide association data with independent biological knowledge to uncover novel candidate eGFR associations, including candidates lacking known connections to kidney-specific pathways. The strategy may also be applicable to other clinical phenotypes, although more testing will be needed to assess its potential for discovery in general.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Genome-wide Association Study to Identify Genes and Biological Pathways Associated with Type Traits in Cattle using Pathway Analysis

Extended Abstract Introduction and Objective: Type traits describing the skeletal characteristics of an animal are moderately to strongly genetically correlate with other economically important traits in cattle including fertility, longevity and carcass traits. The present study aimed to conduct a genome wide association studies (GWAS) based on gene-set enrichment analysis for identifying the ...

متن کامل

Unveiling the genetic loci for a panicle developmental trait using genome-wide association study in rice

Panicle size has a high correlation with grain yield in rice. There is a bottleneck to identify the additional quantitative trait loci (QTL) for panicle size due to the conventional traits used for QTL mapping. To identify more genetic loci for panicle size, a panicle developmental trait (LNTB, the length from panicle neck-knot to the first primary branch in the rachis) related to panicle size ...

متن کامل

The Genetics of Non-Syndromic Primary Ovarian Insufficiency: A Systematic Review

Purpose: Several causes for primary ovarian insufficiency have been described, including iatrogenic and environmental factor, viral infections, chronic disease as well as genetic alterations. Given the large number of genes described in the literature so far, the aim of this review was to collect all the genetic mutations associated with non-syndromic primary ovarian insufficiency. Methods: All...

متن کامل

Can Genetic Pleiotropy Replicate Common Clinical Constellations of Cardiovascular Disease and Risk?

The relationship between obesity, diabetes, hyperlipidemia, hypertension, kidney disease and cardiovascular disease (CVD) is established when looked at from a clinical, epidemiological or pathophysiological perspective. Yet, when viewed from a genetic perspective, there is comparatively little data synthesis that these conditions have an underlying relationship. We sought to investigate the ove...

متن کامل

P83: Role of Neuregulin 3 Genes Expression on Attention Deficits in Schizophrenia

Genetic epidemiological studies strongly suggest that additive and interactive genes, each with small effects, mediate the genetic vulnerability for schizophrenia. With the human genome working draft at hand, candidate gene (and ultimately large-scale genome-wide) association studies are gaining renewed interest in the effort to unravel the complex genetics of schizophrenia. Linkage and fine ma...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:
  • Human molecular genetics

دوره 21 24  شماره 

صفحات  -

تاریخ انتشار 2012