## 2018 age-at-menopause GWAS result in the Biobank Japan Project

### Descrption:  
This is a summary file for results of GWAS for age-at-menopause in the Biobank Japan Project released via National Bioscience Database Center (NBDC).

- Research ID: hum0014
- Date of release: 2018/08/07


### Uploaded files:  

| File name                               | Number of samples | Number of variants |
|-----------------------------------------|-------------------|--------------------|
| 2018_BBJ_Menopausee_GWAS.rv.txt         |        43,861     |      9,296,729     |


### Columns:

| Column number |   Header             |    Description              |
|---------------|----------------------|-----------------------------|
|        1      |   MARKER             |    marker name              |
|        2      |   CHR                |    chromosome               |
|        3      |   POS                |    position (hg19)          |
|        4      |   EFFECT_ALLELE      |    effect allele            |
|        5      |   NON_EFFECT_ALLELE  |    other allele             |
|        6      |   EFFECT_ALLELE_FREQ |    effect allele frequency  |
|        7      |   INFO               |    imputation quality       |
|        8      |   BETA               |    effect estimate          |
|        9      |   SE                 |    standard error           |
|       10      |   P                  |    P-value                  |
|       11      |   N                  |    sample size              |


 ・　Variants with imputation quality (minimac r2)<0.3 or minor allele frequency <0.5% are removed.
 ・　Association analysis was performed using mach2qtl software (Li Y. et al, Genet. Epidemiol. 2010).

### Link:
 [The biobank Japan project](https://biobankjp.org/english/index.html)
 [National Bioscience Database Center Human Database](https://humandbs.biosciencedbc.jp/en/)
 [RIKEN Center for Integrative Medical Sciences](http://www.ims.riken.jp/english/)


### Reference:
 If you use these data, please cite the following paper:
Horikoshi M et al. Elucidating the genetic architecture of reproductive ageing in the Japanese population.
 Nat Commun (2018). doi: 10.1038/s41467-018-04398-z