Literature DB >> 20596786

How pleiotropic genetics of the musculoskeletal system can inform genomics and phenomics of aging.

David Karasik1.   

Abstract

Genetic study can provide insight into the biologic mechanisms underlying inter-individual differences in susceptibility to (or resistance to) organisms' aging. Recent advances in molecular genetics and genetic epidemiology provide the necessary tools to perform a study of the genetic sources of biological aging. However, to be successful, the genetic study of a complex condition requires a heritable phenotype to be developed and validated. Genome-wide association studies offer an unbiased approach to identify new candidate genes for human diseases. It is hypothesized that convergent results from multiple aging-related traits will point out the genes responsible for the general aging of the organism. This perspective focuses on the musculoskeletal aging as an example of an approach to identify a downstream common pathway that summarizes aging processes. Since the musculoskeletal traits are linked to the state of many vital functions, disability, and ultimately survival rates, we postulate that there is significance in studying musculoskeletal aging. Construction of an integrated phenotype of aging can be achieved based on shared genetics among multiple musculoskeletal biomarkers. Valid biomarkers from other systems of the organism should be similarly explored. The new composite aging score needs to be validated by determining whether it predicts all-cause mortality, incidences of major chronic diseases, and disability late in life. Comprehensive databases on biomarkers of musculoskeletal aging in multiple large cohort studies, along with information on various health outcomes, are needed to validate the proposed measure of biological aging.

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Year:  2010        PMID: 20596786      PMCID: PMC3063644          DOI: 10.1007/s11357-010-9159-3

Source DB:  PubMed          Journal:  Age (Dordr)        ISSN: 0161-9152


  158 in total

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2.  A meta-analysis of four genome-wide association studies of survival to age 90 years or older: the Cohorts for Heart and Aging Research in Genomic Epidemiology Consortium.

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Journal:  J Gerontol A Biol Sci Med Sci       Date:  2010-03-18       Impact factor: 6.053

3.  Genes influencing variation in serum osteocalcin concentrations are linked to markers on chromosomes 16q and 20q.

Authors:  B D Mitchell; S A Cole; R L Bauer; S J Iturria; E A Rodriguez; J Blangero; J W MacCluer; J E Hixson
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Review 4.  Genetic variation and human aging: progress and prospects.

Authors:  David Melzer; Alison J Hurst; Tim Frayling
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6.  Genome-wide association analysis identifies loci for type 2 diabetes and triglyceride levels.

Authors:  Richa Saxena; Benjamin F Voight; Valeriya Lyssenko; Noël P Burtt; Paul I W de Bakker; Hong Chen; Jeffrey J Roix; Sekar Kathiresan; Joel N Hirschhorn; Mark J Daly; Thomas E Hughes; Leif Groop; David Altshuler; Peter Almgren; Jose C Florez; Joanne Meyer; Kristin Ardlie; Kristina Bengtsson Boström; Bo Isomaa; Guillaume Lettre; Ulf Lindblad; Helen N Lyon; Olle Melander; Christopher Newton-Cheh; Peter Nilsson; Marju Orho-Melander; Lennart Råstam; Elizabeth K Speliotes; Marja-Riitta Taskinen; Tiinamaija Tuomi; Candace Guiducci; Anna Berglund; Joyce Carlson; Lauren Gianniny; Rachel Hackett; Liselotte Hall; Johan Holmkvist; Esa Laurila; Marketa Sjögren; Maria Sterner; Aarti Surti; Margareta Svensson; Malin Svensson; Ryan Tewhey; Brendan Blumenstiel; Melissa Parkin; Matthew Defelice; Rachel Barry; Wendy Brodeur; Jody Camarata; Nancy Chia; Mary Fava; John Gibbons; Bob Handsaker; Claire Healy; Kieu Nguyen; Casey Gates; Carrie Sougnez; Diane Gage; Marcia Nizzari; Stacey B Gabriel; Gung-Wei Chirn; Qicheng Ma; Hemang Parikh; Delwood Richardson; Darrell Ricke; Shaun Purcell
Journal:  Science       Date:  2007-04-26       Impact factor: 47.728

7.  Estrogen receptor beta polymorphisms are associated with bone mass in women and men: the Framingham Study.

Authors:  Amanda M Shearman; David Karasik; Kristen M Gruenthal; Serkalem Demissie; L Adrienne Cupples; David E Housman; Douglas P Kiel
Journal:  J Bone Miner Res       Date:  2003-12-22       Impact factor: 6.741

8.  The genetics of exceptional human longevity.

Authors:  Thomas Perls; Louis M Kunkel; Annibale A Puca
Journal:  J Mol Neurosci       Date:  2002 Aug-Oct       Impact factor: 3.444

9.  Osteoarthritis of finger joints in Finns aged 30 or over: prevalence, determinants, and association with mortality.

Authors:  M M Haara; P Manninen; H Kröger; J P A Arokoski; A Kärkkäinen; P Knekt; A Aromaa; M Heliövaara
Journal:  Ann Rheum Dis       Date:  2003-02       Impact factor: 19.103

10.  Powerful bivariate genome-wide association analyses suggest the SOX6 gene influencing both obesity and osteoporosis phenotypes in males.

Authors:  Yao-Zhong Liu; Yu-Fang Pei; Jian-Feng Liu; Fang Yang; Yan Guo; Lei Zhang; Xiao-Gang Liu; Han Yan; Liang Wang; Yin-Ping Zhang; Shawn Levy; Robert R Recker; Hong-Wen Deng
Journal:  PLoS One       Date:  2009-08-28       Impact factor: 3.240

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  9 in total

Review 1.  The genetics of bone mass and susceptibility to bone diseases.

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Journal:  Nat Rev Rheumatol       Date:  2016-04-07       Impact factor: 20.543

2.  PREDICTIVE MODELING OF HOSPITAL READMISSION RATES USING ELECTRONIC MEDICAL RECORD-WIDE MACHINE LEARNING: A CASE-STUDY USING MOUNT SINAI HEART FAILURE COHORT.

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Journal:  Pac Symp Biocomput       Date:  2017

Review 3.  Interaction between bone and muscle in older persons with mobility limitations.

Authors:  L Ferrucci; M Baroni; A Ranchelli; F Lauretani; M Maggio; P Mecocci; C Ruggiero
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Review 4.  Interactions between Growth of Muscle and Stature: Mechanisms Involved and Their Nutritional Sensitivity to Dietary Protein: The Protein-Stat Revisited.

Authors:  D Joe Millward
Journal:  Nutrients       Date:  2021-02-25       Impact factor: 5.717

5.  Association of Serum Klotho with Loss of Bone Mineral Density and Fracture Risk in Older Adults.

Authors:  Didier Chalhoub; Elisa Marques; Osorio Meirelles; Richard D Semba; Luigi Ferrucci; Suzanne Satterfield; Michael Nevitt; Jane A Cauley; Tamara Harris
Journal:  J Am Geriatr Soc       Date:  2016-12-02       Impact factor: 5.562

6.  The genetic pleiotropy of musculoskeletal aging.

Authors:  David Karasik; Miri Cohen-Zinder
Journal:  Front Physiol       Date:  2012-08-08       Impact factor: 4.566

7.  Midlife muscle strength and human longevity up to age 100 years: a 44-year prospective study among a decedent cohort.

Authors:  Taina Rantanen; Kamal Masaki; Qimei He; G Webster Ross; Bradley J Willcox; Lon White
Journal:  Age (Dordr)       Date:  2011-05-04

8.  Poor sleep quality and later sleep timing are risk factors for osteopenia and sarcopenia in middle-aged men and women: The NEO study.

Authors:  Eliane A Lucassen; Renée de Mutsert; Saskia le Cessie; Natasha M Appelman-Dijkstra; Frits R Rosendaal; Diana van Heemst; Martin den Heijer; Nienke R Biermasz
Journal:  PLoS One       Date:  2017-05-01       Impact factor: 3.240

9.  Androgen receptor polyglutamine repeat number: models of selection and disease susceptibility.

Authors:  Calen P Ryan; Bernard J Crespi
Journal:  Evol Appl       Date:  2012-06-11       Impact factor: 5.183

  9 in total

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