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This study was published on Medrxiv.org as a preprint and has not yet been peer reviewed.

Key takeaways

Why this matters

  • The authors said that, to their knowledge, this is the first study that has shown a causal association between older ANM and higher risk of postmenopausal lung cancer.
  • This finding was directionally opposite to the significant protective effect of increased ANM documented in an observational analysis of roughly the same data as well as prior reports that did not use MR. This “notable inconsistency” suggests very substantial residual confounding without MR that could be driven by factors such as smoking, diet, and exercise.
  • If these results are replicated in additional datasets, it would highlight a need for randomized, controlled trials of antiestrogen therapies in postmenopausal women for the prevention or treatment of lung cancer.

Study design

  • The study included data from 106,853 postmenopausal women enrolled in the Women’s Health Initiative (WHI) and 95,464 women who were 37-73 years old included in the UK Biobank (UKB). Analyses for each outcome also included data from smaller numbers of women obtained from several additional datasets.
  • The MR analysis used up to 55 single-nucleotide polymorphisms previously discovered through a genome-wide association study of about 70,000 women of European ancestry and independent of all datasets analyzed in the current study. The authors included all single-nucleotide polymorphisms with a consistent direction of effect on ANM.
  • The MR analysis for lung cancer included 113,371 women from the two primary datasets and an additional 3012 women from six additional datasets.
  • The MR analysis for bone fracture involved 113,239 women from the WHI and UKB only. The MR analysis for osteoporosis involved 137,080 women from the WHI, UKB, and one additional external dataset.

Key results

  • Results from a meta-analysis of the MR results using data from the WHI, UKB, and the additional datasets showed ANM was causally associated with an increased risk of lung cancer by an odds ratio of 1.35 for each 5-year increase in ANM. In contrast, the adjusted observational analysis of data just from the WHI and UKB showed a significant 11% relative risk reduction in the incidence of lung cancer for each 5-year increase in ANM.
  • The MR results also showed causally protective effects for fracture, with a 24% relative risk reduction, and for osteoporosis, with a 19% relative risk reduction for each 5-year increase in ANM.
  • The MR analyses showed no significant association between AMN and outcome for breast cancer, endometrial cancer, ovarian cancer, coronary heart disease, ischemic stroke, and Alzheimer’s disease.
 

 

Limitations

The main limitation of the MR study was the potential for inadequate power for assessing some outcomes despite the large overall size of the study cohort. Lack of adequate power may be responsible for some of the nonsignificant associations seen in the study, such as for breast and endometrial cancers, where substantial prior evidence has implicated increased risk through the effects of prolonged exposure to endogenous or exogenous estrogens.

The healthy cohort effect in the UKB is a known weakness of this dataset that may have limited the number of cases and generalizability of findings.

Osteoporosis and Alzheimer’s disease were self-reported.

The study only included participants of European ancestry because most subjects in most of the cohorts examined were White women and the applied MR instruments were found by genome-wide association studies run predominantly in White women. The authors said the causal effects of ANM need study in more diverse populations.
 

Disclosures

  • The study received no commercial funding.
  • None of the authors had disclosures.

This is a summary of a preprint research study, “Genetic evidence for causal relationships between age at natural menopause and the risk of aging-associated adverse health outcomes,” written by authors primarily based at Stanford University School of Medicine i

A version of this article first appeared on Medscape.com.

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This study was published on Medrxiv.org as a preprint and has not yet been peer reviewed.

Key takeaways

Why this matters

  • The authors said that, to their knowledge, this is the first study that has shown a causal association between older ANM and higher risk of postmenopausal lung cancer.
  • This finding was directionally opposite to the significant protective effect of increased ANM documented in an observational analysis of roughly the same data as well as prior reports that did not use MR. This “notable inconsistency” suggests very substantial residual confounding without MR that could be driven by factors such as smoking, diet, and exercise.
  • If these results are replicated in additional datasets, it would highlight a need for randomized, controlled trials of antiestrogen therapies in postmenopausal women for the prevention or treatment of lung cancer.

Study design

  • The study included data from 106,853 postmenopausal women enrolled in the Women’s Health Initiative (WHI) and 95,464 women who were 37-73 years old included in the UK Biobank (UKB). Analyses for each outcome also included data from smaller numbers of women obtained from several additional datasets.
  • The MR analysis used up to 55 single-nucleotide polymorphisms previously discovered through a genome-wide association study of about 70,000 women of European ancestry and independent of all datasets analyzed in the current study. The authors included all single-nucleotide polymorphisms with a consistent direction of effect on ANM.
  • The MR analysis for lung cancer included 113,371 women from the two primary datasets and an additional 3012 women from six additional datasets.
  • The MR analysis for bone fracture involved 113,239 women from the WHI and UKB only. The MR analysis for osteoporosis involved 137,080 women from the WHI, UKB, and one additional external dataset.

Key results

  • Results from a meta-analysis of the MR results using data from the WHI, UKB, and the additional datasets showed ANM was causally associated with an increased risk of lung cancer by an odds ratio of 1.35 for each 5-year increase in ANM. In contrast, the adjusted observational analysis of data just from the WHI and UKB showed a significant 11% relative risk reduction in the incidence of lung cancer for each 5-year increase in ANM.
  • The MR results also showed causally protective effects for fracture, with a 24% relative risk reduction, and for osteoporosis, with a 19% relative risk reduction for each 5-year increase in ANM.
  • The MR analyses showed no significant association between AMN and outcome for breast cancer, endometrial cancer, ovarian cancer, coronary heart disease, ischemic stroke, and Alzheimer’s disease.
 

 

Limitations

The main limitation of the MR study was the potential for inadequate power for assessing some outcomes despite the large overall size of the study cohort. Lack of adequate power may be responsible for some of the nonsignificant associations seen in the study, such as for breast and endometrial cancers, where substantial prior evidence has implicated increased risk through the effects of prolonged exposure to endogenous or exogenous estrogens.

The healthy cohort effect in the UKB is a known weakness of this dataset that may have limited the number of cases and generalizability of findings.

Osteoporosis and Alzheimer’s disease were self-reported.

The study only included participants of European ancestry because most subjects in most of the cohorts examined were White women and the applied MR instruments were found by genome-wide association studies run predominantly in White women. The authors said the causal effects of ANM need study in more diverse populations.
 

Disclosures

  • The study received no commercial funding.
  • None of the authors had disclosures.

This is a summary of a preprint research study, “Genetic evidence for causal relationships between age at natural menopause and the risk of aging-associated adverse health outcomes,” written by authors primarily based at Stanford University School of Medicine i

A version of this article first appeared on Medscape.com.

This study was published on Medrxiv.org as a preprint and has not yet been peer reviewed.

Key takeaways

Why this matters

  • The authors said that, to their knowledge, this is the first study that has shown a causal association between older ANM and higher risk of postmenopausal lung cancer.
  • This finding was directionally opposite to the significant protective effect of increased ANM documented in an observational analysis of roughly the same data as well as prior reports that did not use MR. This “notable inconsistency” suggests very substantial residual confounding without MR that could be driven by factors such as smoking, diet, and exercise.
  • If these results are replicated in additional datasets, it would highlight a need for randomized, controlled trials of antiestrogen therapies in postmenopausal women for the prevention or treatment of lung cancer.

Study design

  • The study included data from 106,853 postmenopausal women enrolled in the Women’s Health Initiative (WHI) and 95,464 women who were 37-73 years old included in the UK Biobank (UKB). Analyses for each outcome also included data from smaller numbers of women obtained from several additional datasets.
  • The MR analysis used up to 55 single-nucleotide polymorphisms previously discovered through a genome-wide association study of about 70,000 women of European ancestry and independent of all datasets analyzed in the current study. The authors included all single-nucleotide polymorphisms with a consistent direction of effect on ANM.
  • The MR analysis for lung cancer included 113,371 women from the two primary datasets and an additional 3012 women from six additional datasets.
  • The MR analysis for bone fracture involved 113,239 women from the WHI and UKB only. The MR analysis for osteoporosis involved 137,080 women from the WHI, UKB, and one additional external dataset.

Key results

  • Results from a meta-analysis of the MR results using data from the WHI, UKB, and the additional datasets showed ANM was causally associated with an increased risk of lung cancer by an odds ratio of 1.35 for each 5-year increase in ANM. In contrast, the adjusted observational analysis of data just from the WHI and UKB showed a significant 11% relative risk reduction in the incidence of lung cancer for each 5-year increase in ANM.
  • The MR results also showed causally protective effects for fracture, with a 24% relative risk reduction, and for osteoporosis, with a 19% relative risk reduction for each 5-year increase in ANM.
  • The MR analyses showed no significant association between AMN and outcome for breast cancer, endometrial cancer, ovarian cancer, coronary heart disease, ischemic stroke, and Alzheimer’s disease.
 

 

Limitations

The main limitation of the MR study was the potential for inadequate power for assessing some outcomes despite the large overall size of the study cohort. Lack of adequate power may be responsible for some of the nonsignificant associations seen in the study, such as for breast and endometrial cancers, where substantial prior evidence has implicated increased risk through the effects of prolonged exposure to endogenous or exogenous estrogens.

The healthy cohort effect in the UKB is a known weakness of this dataset that may have limited the number of cases and generalizability of findings.

Osteoporosis and Alzheimer’s disease were self-reported.

The study only included participants of European ancestry because most subjects in most of the cohorts examined were White women and the applied MR instruments were found by genome-wide association studies run predominantly in White women. The authors said the causal effects of ANM need study in more diverse populations.
 

Disclosures

  • The study received no commercial funding.
  • None of the authors had disclosures.

This is a summary of a preprint research study, “Genetic evidence for causal relationships between age at natural menopause and the risk of aging-associated adverse health outcomes,” written by authors primarily based at Stanford University School of Medicine i

A version of this article first appeared on Medscape.com.

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