| Title |
A large-scale candidate gene association study of age at menarche and age at natural menopause
|
|---|---|
| Published in |
Human Genetics, August 2010
|
| DOI | 10.1007/s00439-010-0878-4 |
| Pubmed ID | |
| Authors |
Chunyan He, Peter Kraft, Daniel I. Chasman, Julie E. Buring, Constance Chen, Susan E. Hankinson, Guillaume Paré, Stephen Chanock, Paul M. Ridker, David J. Hunter |
| Abstract |
Recent genome-wide association (GWA) studies have identified several novel genetic loci associated with age at menarche and age at natural menopause. However, the stringent significance threshold used in GWA studies potentially led to false negatives and true associations may have been overlooked. Incorporating biologically relevant information, we examined whether common genetic polymorphisms in candidate genes of nine groups of biologically plausible pathways and related phenotypes are associated with age at menarche and age at natural menopause. A total of 18,862 genotyped and imputed single nucleotide polymorphisms (SNPs) in 278 genes were assessed for their associations with these two traits among a total of 24,341 women from the Nurses' Health Study (NHS, N = 2,287) and the Women's Genome Health Study (WGHS, N = 22,054). Linear regression was used to assess the marginal association of each SNP with each phenotype. We adjusted for multiple testing within each gene to identify statistically significant SNP associations at the gene level. To evaluate the overall evidence for an excess of statistically significant gene associations over the proportion expected by chance, we applied a one-sample test of proportion to each group of candidate genes. The steroid-hormone metabolism and biosynthesis pathway was found significantly associated with both age at menarche and age at natural menopause (P = 0.040 and 0.011, respectively). In addition, the group of genes associated with precocious or delayed puberty was found significantly associated with age at menarche (P = 0.013), and the group of genes involved in premature ovarian failure with age at menopause (P = 0.025). |
Mendeley readers
The data shown below were compiled from readership statistics for 128 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 2% |
| Netherlands | 1 | <1% |
| Italy | 1 | <1% |
| Unknown | 124 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 21 | 16% |
| Researcher | 20 | 16% |
| Student > Master | 17 | 13% |
| Student > Ph. D. Student | 15 | 12% |
| Professor | 6 | 5% |
| Other | 20 | 16% |
| Unknown | 29 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 41 | 32% |
| Agricultural and Biological Sciences | 17 | 13% |
| Biochemistry, Genetics and Molecular Biology | 12 | 9% |
| Psychology | 6 | 5% |
| Immunology and Microbiology | 5 | 4% |
| Other | 14 | 11% |
| Unknown | 33 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 01 January 2019.
All research outputs
#4,696,232
of 22,787,797 outputs
Outputs from Human Genetics
#467
of 2,953 outputs
Outputs of similar age
#19,788
of 93,849 outputs
Outputs of similar age from Human Genetics
#2
of 11 outputs
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