4.3 Article

Genetic associations with age of menopause in familial longevity

Journal

Publisher

LIPPINCOTT WILLIAMS & WILKINS
DOI: 10.1097/GME.0000000000001367

Keywords

Association; Evolution; Genetics; Longevity; Menopause

Funding

  1. National Institute on Aging (NIA) [U01-AG023712, U01-AG23744, U01-AG023746, U01-AG023749, U01-AG023755]
  2. NIA [U19-AG023122 TP, R21AG056630 PS]
  3. National Institute of General Medical (NIGMS) Interdisciplinary Training Grant for Biostatisticians [T32 GM74905]
  4. William M. Wood Foundation
  5. Paulette and Marty Samowitz Family Foundation
  6. National Institute on Aging [U01AG009740, RC2AG036495, RC4AG039029]

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Video Summary: Supplemental Digital Content 1, . Objective: We hypothesize that mechanisms associated with extended reproductive age may overlap with mechanisms for the selection of genetic variants that slow aging and decrease risk for age-related diseases. Therefore, the goal of this analysis is to search for genetic variants associated with delayed age of menopause (AOM) among women in a study of familial longevity. Methods: We performed a meta-analysis of genome-wide association studies for AOM in 1,286 women in the Long Life Family Study (LLFS) and 3,151 women in the Health and Retirement Study, and then sought replication in the Framingham Heart Study (FHS). We used Cox proportional hazard regression of AOM to account for censoring, with a robust variance estimator to adjust for within familial relations. Results: In the meta-analysis, a single nucleotide polymorphism (SNP) previously associated with AOM reached genome-wide significance (rs16991615; HR = 0.74, P = 6.99 x 10(-12)). A total of 35 variants reached >10(-4) level of significance and replicated in the FHS and in a 2015 large meta-analysis (ReproGen Consortium). We also identified several novel SNPs associated with AOM including rs3094005: MICB, rs13196892: TXNDC5 | MUTED, rs72774935: SSBP2 | ATG10, rs9447453: COL12A1, rs114298934: FHL2 | NCK2, rs6467223: TNPO3, rs9666274 and rs10766593: NAV2, and rs7281846: HSPA13. Conclusions: This work indicates novel associations and replicates known associations between genetic variants and AOM. A number of these associations make sense for their roles in aging.

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