Literature DB >> 33026655

A role for the MEGF6 gene in predisposition to osteoporosis.

Craig C Teerlink1, Michael J Jurynec2, Rolando Hernandez3, Jeff Stevens1, Dana C Hughes1,4, Cherie P Brunker5,6, Kerry Rowe6, David J Grunwald7, Julio C Facelli3, Lisa A Cannon-Albright1,8,9.   

Abstract

Osteoporosis is a common skeletal disorder characterized by deterioration of bone tissue. The set of genetic factors contributing to osteoporosis is not completely specified. High-risk osteoporosis pedigrees were analyzed to identify genes that may confer susceptibility to disease. Candidate predisposition variants were identified initially by whole exome sequencing of affected-relative pairs, approximately cousins, from 10 pedigrees. Variants were filtered on the basis of population frequency, concordance between pairs of cousins, affecting a gene associated with osteoporosis, and likelihood to have functionally damaging, pathogenic consequences. Subsequently, variants were tested for segregation in 68 additional relatives of the index carriers. A rare variant in MEGF6 (rs755467862) showed strong evidence of segregation with the disease phenotype. Predicted protein folding indicated the variant (Cys200Tyr) may disrupt structure of an EGF-like calcium-binding domain of MEGF6. Functional analyses demonstrated that complete loss of the paralogous genes megf6a and megf6b in zebrafish resulted in significant delay of cartilage and bone formation. Segregation analyses, in silico protein structure modeling, and functional assays support a role for MEGF6 in predisposition to osteoporosis.
© 2020 John Wiley & Sons Ltd/University College London.

Entities:  

Keywords:  exome sequencing; osteoporosis; pedigree; predisposition; protein folding; zebrafish

Mesh:

Substances:

Year:  2020        PMID: 33026655      PMCID: PMC8274237          DOI: 10.1111/ahg.12408

Source DB:  PubMed          Journal:  Ann Hum Genet        ISSN: 0003-4800            Impact factor:   1.670


  57 in total

Review 1.  Osteoclast differentiation and activation.

Authors:  William J Boyle; W Scott Simonet; David L Lacey
Journal:  Nature       Date:  2003-05-15       Impact factor: 49.962

2.  The Genome Analysis Toolkit: a MapReduce framework for analyzing next-generation DNA sequencing data.

Authors:  Aaron McKenna; Matthew Hanna; Eric Banks; Andrey Sivachenko; Kristian Cibulskis; Andrew Kernytsky; Kiran Garimella; David Altshuler; Stacey Gabriel; Mark Daly; Mark A DePristo
Journal:  Genome Res       Date:  2010-07-19       Impact factor: 9.043

3.  Shared genomic segment analysis. Mapping disease predisposition genes in extended pedigrees using SNP genotype assays.

Authors:  A Thomas; N J Camp; J M Farnham; K Allen-Brady; L A Cannon-Albright
Journal:  Ann Hum Genet       Date:  2007-12-18       Impact factor: 1.670

4.  Highly Efficient CRISPR-Cas9-Based Methods for Generating Deletion Mutations and F0 Embryos that Lack Gene Function in Zebrafish.

Authors:  Kazuyuki Hoshijima; Michael J Jurynec; Dana Klatt Shaw; Ashley M Jacobi; Mark A Behlke; David Jonah Grunwald
Journal:  Dev Cell       Date:  2019-11-07       Impact factor: 12.270

5.  I-TASSER: a unified platform for automated protein structure and function prediction.

Authors:  Ambrish Roy; Alper Kucukural; Yang Zhang
Journal:  Nat Protoc       Date:  2010-03-25       Impact factor: 13.491

6.  Heritability of bone mineral density.

Authors:  S François; A Benmalek; G Guaydier-Souquières; J P Sabatier; C Marcelli
Journal:  Rev Rhum Engl Ed       Date:  1999-03

7.  A method and server for predicting damaging missense mutations.

Authors:  Ivan A Adzhubei; Steffen Schmidt; Leonid Peshkin; Vasily E Ramensky; Anna Gerasimova; Peer Bork; Alexey S Kondrashov; Shamil R Sunyaev
Journal:  Nat Methods       Date:  2010-04       Impact factor: 28.547

8.  Genetic compensation triggered by mutant mRNA degradation.

Authors:  Zacharias Kontarakis; Andrea Rossi; Mohamed A El-Brolosy; Carsten Kuenne; Stefan Günther; Nana Fukuda; Khrievono Kikhi; Giulia L M Boezio; Carter M Takacs; Shih-Lei Lai; Ryuichi Fukuda; Claudia Gerri; Antonio J Giraldez; Didier Y R Stainier
Journal:  Nature       Date:  2019-04-03       Impact factor: 49.962

9.  Fast and accurate long-read alignment with Burrows-Wheeler transform.

Authors:  Heng Li; Richard Durbin
Journal:  Bioinformatics       Date:  2010-01-15       Impact factor: 6.937

10.  An atlas of genetic influences on osteoporosis in humans and mice.

Authors:  John A Morris; John P Kemp; Scott E Youlten; Laetitia Laurent; John G Logan; Ryan C Chai; Nicholas A Vulpescu; Vincenzo Forgetta; Aaron Kleinman; Sindhu T Mohanty; C Marcelo Sergio; Julian Quinn; Loan Nguyen-Yamamoto; Aimee-Lee Luco; Jinchu Vijay; Marie-Michelle Simon; Albena Pramatarova; Carolina Medina-Gomez; Katerina Trajanoska; Elena J Ghirardello; Natalie C Butterfield; Katharine F Curry; Victoria D Leitch; Penny C Sparkes; Anne-Tounsia Adoum; Naila S Mannan; Davide S K Komla-Ebri; Andrea S Pollard; Hannah F Dewhurst; Thomas A D Hassall; Michael-John G Beltejar; Douglas J Adams; Suzanne M Vaillancourt; Stephen Kaptoge; Paul Baldock; Cyrus Cooper; Jonathan Reeve; Evangelia E Ntzani; Evangelos Evangelou; Claes Ohlsson; David Karasik; Fernando Rivadeneira; Douglas P Kiel; Jonathan H Tobias; Celia L Gregson; Nicholas C Harvey; Elin Grundberg; David Goltzman; David J Adams; Christopher J Lelliott; David A Hinds; Cheryl L Ackert-Bicknell; Yi-Hsiang Hsu; Matthew T Maurano; Peter I Croucher; Graham R Williams; J H Duncan Bassett; David M Evans; J Brent Richards
Journal:  Nat Genet       Date:  2018-12-31       Impact factor: 38.330

View more
  5 in total

1.  An LRP6 mutation (Arg360His) associated with low bone mineral density but not cardiovascular events in a Caucasian family.

Authors:  Nuria Puente; Ana I Vega; José L Hernandez; Jose L Fernandez-Luna; Jose A Riancho
Journal:  Osteoporos Int       Date:  2022-07-15       Impact factor: 5.071

Review 2.  Functional Validation of Osteoporosis Genetic Findings Using Small Fish Models.

Authors:  Erika Kague; David Karasik
Journal:  Genes (Basel)       Date:  2022-01-30       Impact factor: 4.096

3.  An intronic variant in the CELF4 gene is associated with risk for colorectal cancer.

Authors:  Craig C Teerlink; Jeff Stevens; Rolando Hernandez; Julio C Facelli; Lisa A Cannon-Albright
Journal:  Cancer Epidemiol       Date:  2021-04-28       Impact factor: 2.890

4.  Evidence for an Inherited Contribution to Sepsis Susceptibility Among a Cohort of U.S. Veterans.

Authors:  Jordan A Kempker; Greg S Martin; Matthew T Rondina; Lisa A Cannon-Albright
Journal:  Crit Care Explor       Date:  2022-01-11

5.  A Rare Variant in ERF (rs144812092) Predisposes to Prostate and Bladder Cancers in an Extended Pedigree.

Authors:  Lisa Anne Cannon-Albright; Craig Carl Teerlink; Jeff Stevens; Franklin W Huang; Csilla Sipeky; Johanna Schleutker; Rolando Hernandez; Julio Facelli; Neeraj Agarwal; Donald L Trump
Journal:  Cancers (Basel)       Date:  2021-05-15       Impact factor: 6.639

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.