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GeroScience

, Volume 40, Issue 1, pp 71–72 | Cite as

Correction to: Age at menarche and age at natural menopause in East Asian women: a genome-wide association study

  • Jiajun Shi
  • Ben Zhang
  • Ji-Yeob Choi
  • Yu-Tang Gao
  • Huaixing Li
  • Wei Lu
  • Jirong Long
  • Daehee Kang
  • Yong-Bing Xiang
  • Wanqing Wen
  • Sue K. Park
  • Xingwang Ye
  • Dong-Young Noh
  • Ying Zheng
  • Yiqin Wang
  • Seokang Chung
  • Xu Lin
  • Qiuyin Cai
  • Xiao-Ou ShuEmail author
Correction

Correction to: AGE (2016) 38:513–523

 https://doi.org/10.1007/s11357-016-9939-5

The original version of this article unfortunately contained a mistake.

The authors regret to inform the readers of a mistake in Table 4 regarding non-effect allele frequencies, which were presented as effect allele frequencies. The correct EAFs should be the originally presented numbers deducted from 1. For example, the EAF for rs4246511 is 0.39 in the originally published version, and the correct value is 0.61(=1–0.39). The correct table is given in this article.
Table 4

Evaluation of GWAS-identified single nucleotide polymorphisms for age at natural menopause in East Asian women

Locus

SNP

Chr

Base positiona

Nearby gene

Allelesb

EAF

SGWAS (n = 3556)

Stage II (n = 3197)

Combined (n = 6753)

Dir

Beta (SE)

P

Beta (SE)

P

Beta (SE)

P_METAL

P_het

1

rs4246511

1

39,380,385

RHBDL2

T/C

0.61

0.247 (0.089)

0.006

0.303 (0.115)

0.008

0.268 (0.071)

1.4 × 10−4

0.699

+

2

rs1635501

1

242,040,775

EXO1

T/C

0.77

−0.025 (0.1)

0.807

−0.051 (0.128)

0.689

−0.035 (0.079)

0.661

0.869

3

rs2303369

2

27,715,416

FNDC4

T/C

0.13

0.065 (0.123)

0.597

0.117 (0.162)

0.471

0.084 (0.098)

0.391

0.801

4

rs10183486

2

171,990,971

TLK1

T/C

0.07

−0.029 (0.157)

0.855

−0.557 (0.222)

0.012

−0.204 (0.128)

0.111

0.052

+

5

rs7606918

2

172,895,449

MAP1D

A/G

0.87

−0.097 (0.127)

0.443

0.308 (0.172)

0.074

0.045 (0.102)

0.657

0.058

+

6

rs4693089

4

84,373,622

HEL308

A/G

0.33

−0.107 (0.089)

0.230

−0.218 (0.115)

0.058

−0.149 (0.071)

0.035

0.447

+

7

rs890835

5

175,956,271

RNF44

A/C

0.24

−0.111 (0.099)

0.259

−0.063 (0.126)

0.615

−0.093 (0.078)

0.231

0.764

8

rs365132

5

176,378,574

UIMC1

T/G

0.52

0.229 (0.086)

0.008

0.125 (0.108)

0.245

0.189 (0.067)

0.005

0.450

+

9

rs2153157

6

10,897,488

SYCP2L

A/G

0.68

0.165 (0.089)

0.065

−0.068 (0.115)

0.551

0.077 (0.071)

0.276

0.109

+

10

rs1046089

6

31,602,967

BAT2

A/G

0.40

−0.04 (0.086)

0.640

−0.101 (0.166)

0.543

−0.053 (0.076)

0.487

0.745

+

11

rs2517388

8

37,977,732

ASH2L

T/G

0.35

0.014 (0.091)

0.876

−0.165 (0.115)

0.150

−0.055 (0.071)

0.443

0.220

+

12

rs12294104

11

30,382,899

Intergene

T/C

0.10

0.052 (0.158)

0.742

−0.202 (0.257)

0.431

−0.018 (0.134)

0.896

0.399

+

13

rs2277339

12

57,146,069

PRIM1

T/G

0.77

0.181 (0.116)

0.118

0.290 (0.167)

0.082

0.216 (0.095)

0.023

0.592

+

14

rs3736830

13

50,306,221

KPNA3

C/G

0.37

−0.032 (0.088)

0.718

0.050 (0.113)

0.657

−0.001 (0.070)

0.991

0.568

+

15

rs4886238

13

61,113,739

TDRD3

A/G

0.04

−0.086 (0.23)

0.708

−0.041 (0.324)

0.899

−0.071 (0.188)

0.705

0.909

16

rs7333181

13

112,221,297

Intergene

A/G

0.04

−0.147 (0.266)

0.580

0.194 (0.349)

0.580

−0.022 (0.212)

0.917

0.438

+

17

rs2307449

15

89,863,928

POLG

T/G

0.64

0.210 (0.087)

0.015

0.006 (0.113)

0.955

0.134 (0.069)

0.050

0.153

+

18

rs10852344

16

12,016,919

Intergene

T/C

0.15

−0.065 (0.122)

0.598

0.027 (0.162)

0.867

−0.031 (0.098)

0.749

0.651

+

191

rs11668344

19

55,833,664

TMEM150B

A/G

0.91

0.659 (0.145)

5.6 × 10−6

0.247 (0.218)

0.257

0.533 (0.121)

1.0 × 10−5

0.115

+

192

rs12461110

19

56,320,663

NLRP11

A/G

0.29

−0.246 (0.092)

0.008

0.157 (0.136)

0.248

−0.119 (0.076)

0.117

0.014

+

20

rs16991615

20

5,948,227

MCM8

A/G

0.01

−2.783 (1.745)

0.111

−0.655 (1.425)

0.646

−1.506 (1.103)

0.172

0.345

SNP single nucleotide polymorphism, Chr chromosome, EAF Effective allele frequency, SE standard error, P_ METAL P value from meta-analysis using METAL, P_het P value from between-study heterogeneity test, Dir allelic association direction compared to that from previous GWAS (“+” denotes same and “-” denotes opposite).

aChromosome position based on NCBI human genome build 37 from the 1000 Genomes Project

bShown as effect allele/other allele

Copyright information

© American Aging Association 2018

Authors and Affiliations

  • Jiajun Shi
    • 1
  • Ben Zhang
    • 1
  • Ji-Yeob Choi
    • 2
    • 3
    • 4
  • Yu-Tang Gao
    • 5
  • Huaixing Li
    • 6
  • Wei Lu
    • 7
  • Jirong Long
    • 1
  • Daehee Kang
    • 2
    • 3
    • 4
  • Yong-Bing Xiang
    • 5
  • Wanqing Wen
    • 1
  • Sue K. Park
    • 2
    • 3
    • 4
  • Xingwang Ye
    • 6
  • Dong-Young Noh
    • 8
  • Ying Zheng
    • 7
  • Yiqin Wang
    • 6
  • Seokang Chung
    • 2
  • Xu Lin
    • 6
  • Qiuyin Cai
    • 1
  • Xiao-Ou Shu
    • 1
    Email author
  1. 1.Department of Medicine, Vanderbilt Epidemiology Center and Division of EpidemiologyVanderbilt University School of MedicineNashvilleUSA
  2. 2.Department of Biomedical SciencesSeoul National University College of MedicineSeoulSouth Korea
  3. 3.Department of Preventive MedicineSeoul National University College of MedicineSeoulSouth Korea
  4. 4.Cancer Research InstituteSeoul National UniversitySeoulSouth Korea
  5. 5.Department of Epidemiology, Shanghai Cancer Institute, Renji HospitalShanghai Jiaotong University School of MedicineShanghaiChina
  6. 6.Key Laboratory of Nutrition and Metabolism, Institute for Nutritional Sciences, Shanghai Institutes for Biological SciencesChinese Academy of Sciences and Graduate School of the Chinese Academy of SciencesShanghaiChina
  7. 7.Shanghai Municipal Center for Disease Control and PreventionShanghaiChina
  8. 8.Department of SurgerySeoul National University College of MedicineSeoulSouth Korea

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