Literature DB >> 20688759

Molecular basis of a linkage peak: exome sequencing and family-based analysis identify a rare genetic variant in the ADIPOQ gene in the IRAS Family Study.

Donald W Bowden1, S Sandy An, Nicholette D Palmer, W Mark Brown, Jill M Norris, Stephen M Haffner, Gregory A Hawkins, Xiuqing Guo, Jerome I Rotter, Y-D Ida Chen, Lynne E Wagenknecht, Carl D Langefeld.   

Abstract

Family-based linkage analysis has been a powerful tool for identification of genes contributing to traits with monogenic patterns of inheritance. These approaches have been of limited utility in identification of genes underlying complex traits. In contrast, searches for common genetic variants associated with complex traits have been highly successful. It is now widely recognized that common variations frequently explain only part of the inter-individual variation in populations. 'Rare' genetic variants have been hypothesized to contribute significantly to phenotypic variation in the population. We have developed a combination of family-based linkage, whole-exome sequencing, direct sequencing and association methods to efficiently identify rare variants of large effect. Key to the successful application of the method was the recognition that only a few families in a sample contribute significantly to a linkage signal. Thus, a search for mutations can be targeted to a small number of families in a chromosome interval restricted to the linkage peak. This approach has been used to identify a rare (1.1%) G45R mutation in the gene encoding adiponectin, ADIPOQ. This variant explains a strong linkage signal (LOD > 8.0) and accounts for ∼17% of the variance in plasma adiponectin levels in a sample of 1240 Hispanic Americans and 63% of the variance in families carrying the mutation. Individuals carrying the G45R mutation have mean adiponectin levels that are 19% of non-carriers. We propose that rare variants may be a common explanation for linkage peaks observed in complex trait genetics. This approach is applicable to a wide range of family studies and has potential to be a discovery tool for identification of novel genes influencing complex traits.

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Year:  2010        PMID: 20688759      PMCID: PMC2947405          DOI: 10.1093/hmg/ddq327

Source DB:  PubMed          Journal:  Hum Mol Genet        ISSN: 0964-6906            Impact factor:   6.150


  25 in total

1.  Linkage of plasma adiponectin levels to 3q27 explained by association with variation in the APM1 gene.

Authors:  Toni I Pollin; Keith Tanner; Jeffrey R O'connell; Sandra H Ott; Coleen M Damcott; Alan R Shuldiner; John C McLenithan; Braxton D Mitchell
Journal:  Diabetes       Date:  2005-01       Impact factor: 9.461

2.  A genome scan for fasting insulin and fasting glucose identifies a quantitative trait locus on chromosome 17p: the insulin resistance atherosclerosis study (IRAS) family study.

Authors:  Stephen S Rich; Donald W Bowden; Steven M Haffner; Jill M Norris; Mohammed F Saad; Braxton D Mitchell; Jerome I Rotter; Carl D Langefeld; Catherine C Hedrick; Lynne E Wagenknecht; Richard N Bergman
Journal:  Diabetes       Date:  2005-01       Impact factor: 9.461

3.  A treasure trove for lipoprotein biology.

Authors:  Aldons J Lusis; Päivi Pajukanta
Journal:  Nat Genet       Date:  2008-02       Impact factor: 38.330

4.  Genome-wide linkage of plasma adiponectin reveals a major locus on chromosome 3q distinct from the adiponectin structural gene: the IRAS family study.

Authors:  Xiuqing Guo; Mohammed F Saad; Carl D Langefeld; Adrienne H Williams; Jinrui Cui; Kent D Taylor; Jill M Norris; Sujata Jinagouda; Christine H Darwin; Braxton D Mitchell; Richard N Bergman; Beth Sutton; Y-D Ida Chen; Lynne E Wagenknecht; Donald W Bowden; Jerome I Rotter
Journal:  Diabetes       Date:  2006-06       Impact factor: 9.461

5.  Molecular mechanism of moderate insulin resistance in adiponectin-knockout mice.

Authors:  Wataru Yano; Naoto Kubota; Shinsuke Itoh; Tetsuya Kubota; Motoharu Awazawa; Masao Moroi; Kaoru Sugi; Iseki Takamoto; Hitomi Ogata; Kumpei Tokuyama; Tetsuo Noda; Yasuo Terauchi; Kohjiro Ueki; Takashi Kadowaki
Journal:  Endocr J       Date:  2008-04-30       Impact factor: 2.349

6.  Ultrafast and memory-efficient alignment of short DNA sequences to the human genome.

Authors:  Ben Langmead; Cole Trapnell; Mihai Pop; Steven L Salzberg
Journal:  Genome Biol       Date:  2009-03-04       Impact factor: 13.583

7.  Adiponectin induces insulin secretion in vitro and in vivo at a low glucose concentration.

Authors:  M Okamoto; M Ohara-Imaizumi; N Kubota; S Hashimoto; K Eto; T Kanno; T Kubota; M Wakui; R Nagai; M Noda; S Nagamatsu; T Kadowaki
Journal:  Diabetologia       Date:  2008-03-28       Impact factor: 10.122

Review 8.  Physiological and pathophysiological roles of adiponectin and adiponectin receptors in the integrated regulation of metabolic and cardiovascular diseases.

Authors:  T Yamauchi; T Kadowaki
Journal:  Int J Obes (Lond)       Date:  2008-12       Impact factor: 5.095

9.  Common variants in the adiponectin gene (ADIPOQ) associated with plasma adiponectin levels, type 2 diabetes, and diabetes-related quantitative traits: the Framingham Offspring Study.

Authors:  Marie-France Hivert; Alisa K Manning; Jarred B McAteer; Jose C Florez; Josée Dupuis; Caroline S Fox; Christopher J O'Donnell; L Adrienne Cupples; James B Meigs
Journal:  Diabetes       Date:  2008-09-05       Impact factor: 9.461

10.  Common variants at 30 loci contribute to polygenic dyslipidemia.

Authors:  Sekar Kathiresan; Cristen J Willer; Gina M Peloso; Serkalem Demissie; Kiran Musunuru; Eric E Schadt; Lee Kaplan; Derrick Bennett; Yun Li; Toshiko Tanaka; Benjamin F Voight; Lori L Bonnycastle; Anne U Jackson; Gabriel Crawford; Aarti Surti; Candace Guiducci; Noel P Burtt; Sarah Parish; Robert Clarke; Diana Zelenika; Kari A Kubalanza; Mario A Morken; Laura J Scott; Heather M Stringham; Pilar Galan; Amy J Swift; Johanna Kuusisto; Richard N Bergman; Jouko Sundvall; Markku Laakso; Luigi Ferrucci; Paul Scheet; Serena Sanna; Manuela Uda; Qiong Yang; Kathryn L Lunetta; Josée Dupuis; Paul I W de Bakker; Christopher J O'Donnell; John C Chambers; Jaspal S Kooner; Serge Hercberg; Pierre Meneton; Edward G Lakatta; Angelo Scuteri; David Schlessinger; Jaakko Tuomilehto; Francis S Collins; Leif Groop; David Altshuler; Rory Collins; G Mark Lathrop; Olle Melander; Veikko Salomaa; Leena Peltonen; Marju Orho-Melander; Jose M Ordovas; Michael Boehnke; Gonçalo R Abecasis; Karen L Mohlke; L Adrienne Cupples
Journal:  Nat Genet       Date:  2008-12-07       Impact factor: 38.330

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  48 in total

Review 1.  Between candidate genes and whole genomes: time for alternative approaches in blood pressure genetics.

Authors:  Jacob Basson; Jeannette Simino; D C Rao
Journal:  Curr Hypertens Rep       Date:  2012-02       Impact factor: 5.369

Review 2.  Linkage analysis in the next-generation sequencing era.

Authors:  Joan E Bailey-Wilson; Alexander F Wilson
Journal:  Hum Hered       Date:  2011-12-23       Impact factor: 0.444

3.  Genome-wide association study for adiponectin levels in Filipino women identifies CDH13 and a novel uncommon haplotype at KNG1-ADIPOQ.

Authors:  Ying Wu; Yun Li; Ethan M Lange; Damien C Croteau-Chonka; Christopher W Kuzawa; Thomas W McDade; Li Qin; Ghenadie Curocichin; Judith B Borja; Leslie A Lange; Linda S Adair; Karen L Mohlke
Journal:  Hum Mol Genet       Date:  2010-09-27       Impact factor: 6.150

4.  Population-specific coding variant underlies genome-wide association with adiponectin level.

Authors:  Damien C Croteau-Chonka; Ying Wu; Yun Li; Marie P Fogarty; Leslie A Lange; Christopher W Kuzawa; Thomas W McDade; Judith B Borja; Jingchun Luo; Omar AbdelBaky; Terry P Combs; Linda S Adair; Ethan M Lange; Karen L Mohlke
Journal:  Hum Mol Genet       Date:  2011-10-18       Impact factor: 6.150

5.  Perspectives in Polycystic Ovary Syndrome: From Hair to Eternity.

Authors:  Andrea Dunaif
Journal:  J Clin Endocrinol Metab       Date:  2016-02-23       Impact factor: 5.958

6.  Next generation sequencing in cardiovascular diseases.

Authors:  Francesca Faita; Cecilia Vecoli; Ilenia Foffa; Maria Grazia Andreassi
Journal:  World J Cardiol       Date:  2012-10-26

7.  Optimum designs for next-generation sequencing to discover rare variants for common complex disease.

Authors:  Gang Shi; D C Rao
Journal:  Genet Epidemiol       Date:  2011-05-26       Impact factor: 2.135

8.  Estimating the contributions of rare and common genetic variations and clinical measures to a model trait: adiponectin.

Authors:  S Sandy An; Nicholette D Palmer; Anthony J G Hanley; Julie T Ziegler; W Mark Brown; Steven M Haffner; Jill M Norris; Jerome I Rotter; Xiuqing Guo; Y-D Ida Chen; Lynne E Wagenknecht; Carl D Langefeld; Donald W Bowden
Journal:  Genet Epidemiol       Date:  2012-10-02       Impact factor: 2.135

9.  Linkage analysis incorporating gene-age interactions identifies seven novel lipid loci: the Family Blood Pressure Program.

Authors:  Jeannette Simino; Rezart Kume; Aldi T Kraja; Stephen T Turner; Craig L Hanis; Wayne Sheu; Ida Chen; Cashell Jaquish; Richard S Cooper; Aravinda Chakravarti; Thomas Quertermous; Eric Boerwinkle; Steven C Hunt; D C Rao
Journal:  Atherosclerosis       Date:  2014-04-26       Impact factor: 5.162

10.  Visualization of haplotype sharing patterns in pedigree samples.

Authors:  Sulgi Kim; Mohamad Saad; Debby W Tsuang; Ellen M Wijsman
Journal:  Hum Hered       Date:  2014-06-21       Impact factor: 0.444

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