1
|
Santanasto AJ, Acharya S, Wojczynski MK, Cvejkus RK, Lin S, Brent MR, Anema JA, Wang L, Thyagarajan B, Christensen K, Daw EW, Zmuda JM. Whole Genome Linkage and Association Analyses Identify DLG Associated Protein-1 as a Novel Positional and Biological Candidate Gene for Muscle Strength: The Long Life Family Study. J Gerontol A Biol Sci Med Sci 2024; 79:glae144. [PMID: 38808484 PMCID: PMC11226997 DOI: 10.1093/gerona/glae144] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2023] [Indexed: 05/30/2024] Open
Abstract
BACKGROUND Grip strength is a robust indicator of overall health, is moderately heritable, and predicts longevity in older adults. METHODS Using genome-wide linkage analysis, we identified a novel locus on chromosome 18p (mega-basepair region: 3.4-4.0) linked to grip strength in 3 755 individuals from 582 families aged 64 ± 12 years (range 30-110 years; 55% women). There were 26 families that contributed to the linkage peak (cumulative logarithm of the odds [LOD] score = 10.94), with 6 families (119 individuals) accounting for most of the linkage signal (LOD = 6.4). In these 6 families, using whole genome sequencing data, we performed association analyses between the 7 312 single nucleotide (SNVs) and insertion deletion (INDELs) variants in the linkage region and grip strength. Models were adjusted for age, age2, sex, height, field center, and population substructure. RESULTS We found significant associations between genetic variants (8 SNVs and 4 INDELs, p < 5 × 10-5) in the Disks Large-associated Protein 1 (DLGAP1) gene and grip strength. Haplotypes constructed using these variants explained up to 98.1% of the LOD score. Finally, RNAseq data showed that these variants were significantly associated with the expression of nearby Myosin Light Chain 12A (MYL12A), Structural Maintenance of Chromosomes Flexible Hinge Domain Containing 1 (SMCHD1), Erythrocyte Membrane Protein Band 4.1 Like 3 (EPB41L3) genes (p < .0004). CONCLUSIONS The DLGAP1 gene plays an important role in the postsynaptic density of neurons; thus, it is both a novel positional and biological candidate gene for follow-up studies aimed at uncovering genetic determinants of muscle strength.
Collapse
Affiliation(s)
- Adam J Santanasto
- Department of Epidemiology, School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Sandeep Acharya
- Division of Computational and Data Sciences, Center for Genome Sciences and Systems Biology, Washington University in St. Louis, St. Louis, Missouri, USA
- Department of Computer Science, Washington University in St. Louis, St. Louis, Missouri, USA
| | - Mary K Wojczynski
- Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine in St. Louis, St. Louis, Missouri, USA
| | - Ryan K Cvejkus
- Department of Epidemiology, School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Shiow Lin
- Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine in St. Louis, St. Louis, Missouri, USA
| | - Michael R Brent
- Division of Computational and Data Sciences, Center for Genome Sciences and Systems Biology, Washington University in St. Louis, St. Louis, Missouri, USA
- Department of Computer Science, Washington University in St. Louis, St. Louis, Missouri, USA
| | - Jason A Anema
- Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine in St. Louis, St. Louis, Missouri, USA
| | - Lihua Wang
- Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine in St. Louis, St. Louis, Missouri, USA
| | - Bharat Thyagarajan
- Department of Laboratory Medicine and Pathology, School of Medicine, University of Minnesota, Minneapolis, Minnesota, USA
| | - Kaare Christensen
- Epidemiology Unit, Institute of Public Health, The Danish Aging Research Center, University of Southern Denmark, Odense, Denmark
| | - E Warwick Daw
- Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine in St. Louis, St. Louis, Missouri, USA
| | - Joseph M Zmuda
- Department of Epidemiology, School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| |
Collapse
|
2
|
Santanasto AJ, Wojczynski MK, Cvejkus RK, Lin S, Wang L, Thyagarajan B, Christensen K, Schupf N, Feitosa MF, An P, Zmuda JM. Identification of a Novel Locus for Gait Speed Decline With Aging: The Long Life Family Study. J Gerontol A Biol Sci Med Sci 2021; 76:e307-e313. [PMID: 34156441 PMCID: PMC8436996 DOI: 10.1093/gerona/glab177] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2020] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND Gait speed is a powerful indicator of health with aging. Potential genetic contributions to gait speed and its decline with aging are not well defined. We determined the heritability of and potential genetic regions underlying change in gait speed using longitudinal data from 2379 individuals belonging to 509 families in the Long Life Family Study (mean age 64 ± 12, range 30-110 years; 45% men). METHODS Gait speed was measured over 4 m at baseline and follow-up (7 ± 1 years). Quantitative trait linkage analyses were completed using pedigree-based maximum likelihood methods with logarithm of the odds (LOD) scores greater than 3.0, indicating genome-wide significance. We also performed linkage analysis in the top 10% of families contributing to LOD scores to allow for heterogeneity among families (HLOD). Data were adjusted for age, sex, height, and field center. RESULTS At baseline, 26.9% of individuals had "slow" gait speed less than 1.0 m/s (mean: 1.1 ± 0.2 m/s) and gait speed declined at a rate of -0.02 ± 0.03 m/s per year (p < .0001). Baseline and change in gait speed were significantly heritable (h2 = 0.24-0.32, p < .05). We did not find significant evidence for linkage for baseline gait speed; however, we identified a significant locus for change in gait speed on chromosome 16p (LOD = 4.2). A subset of 21 families contributed to this linkage peak (HLOD = 6.83). Association analyses on chromosome 16 showed that the strongest variant resides within the ADCY9 gene. CONCLUSION Further analysis of the chromosome 16 region, and ADCY9 gene, may yield new insight on the biology of mobility decline with aging.
Collapse
Affiliation(s)
- Adam J Santanasto
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pennsylvania, USA
| | - Mary K Wojczynski
- Department of Genetics, Division of Statistical Genomics, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Ryan K Cvejkus
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pennsylvania, USA
| | - Shiow Lin
- Department of Genetics, Division of Statistical Genomics, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Lihua Wang
- Department of Genetics, Division of Statistical Genomics, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Bharat Thyagarajan
- Department of Laboratory Medicine and Pathology, School of Medicine, University of Minnesota, Minneapolis, USA
| | - Kaare Christensen
- The Danish Aging Research Center, Epidemiology Unit, Institute of Public Health, University of Southern Denmark, Odense, Denmark
| | - Nicole Schupf
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, USA
| | - Mary F Feitosa
- Department of Genetics, Division of Statistical Genomics, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Ping An
- Department of Genetics, Division of Statistical Genomics, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Joseph M Zmuda
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pennsylvania, USA
| |
Collapse
|
3
|
Bea JW, Zhao Q, Cauley JA, LaCroix AZ, Bassford T, Lewis CE, Jackson RD, Tylavsky FA, Chen Z. Effect of hormone therapy on lean body mass, falls, and fractures: 6-year results from the Women's Health Initiative hormone trials. Menopause 2011; 18:44-52. [PMID: 20689466 PMCID: PMC2991495 DOI: 10.1097/gme.0b013e3181e3aab1] [Citation(s) in RCA: 40] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Abstract
OBJECTIVE Loss of lean body mass with aging may contribute to falls and fractures. The objective of this analysis was to determine if taking postmenopausal hormone therapy (or HT: estrogen plus progestogen therapy or estrogen therapy alone) favorably affects age-related changes in lean body mass and if these changes partially account for decreased falls or fractures with HT. METHODS Participants randomly assigned to either estrogen plus progestogen therapy (n = 543) or control (n = 471) and estrogen therapy alone (n = 453) or control (n = 474) and receiving dual-energy x-ray absorptiometry scans to estimate body composition during the Women's Health Initiative were evaluated. Falls and fracture occurrence were obtained by annual self-report. Fractures were confirmed by a clinical chart review. RESULTS At 6 years postrandomization, lean body mass was not different between HT and control groups. Although lean body mass positively influenced bone mineral density, independent of HT status, the preserved lean body mass observed in the HT arms in the first 3 years did not significantly contribute to models evaluating HT influence on falls and fractures between years 3 and 6. Women taking at least 80% of their medication in the HT arms demonstrated fewer falls compared with placebo; this difference was not attributable to change in lean body mass. CONCLUSIONS Despite early preservation of lean body mass with HT (3 y), HT did not ameliorate long-term (6 y) loss in lean body mass with aging.
Collapse
|