Table 1  Characteristic of included studies

1

Yan Qiao

21

309

-

-

Aspirin

2

Hongmei Chen

14

11,690

4448

7242

VDR rs2228570

3

Li-Hui Yan

46

84,772

36,298

48,474

BRCA2 N372H

4

Jie Ruan

24

1217

-

-

P16INK4a

5

liang Tang

13

13,064

5461

7603

HER2 and ESR2 polymorphisms

6

Ross Penninkilampi

27

-

14,311

-

Talc Use

7

Chao-Huan Xu

7

3016

1,345

1,671

Genetic polymorphisms

8

Xu-Ming Zhu

10

4621

1930

2464

Genetic polymorphisms

9

JieNa Li

9

4024

1333

2691

ERCC2 rs13181

10

Jing Li

7

-

1898

-

C-reactive protein

11

Dongyu Zhang

14

2,342,245

4184

‬‬

Diabetes mellitus

12

Xingxing Song

15

493,415

7453

485,962

Calcium Intake

13

Wera Berge

27

34,176

15,154

19,022

Talc Use

14

Xin Zhan

18

701,857

8,683

693,174

Tea consumption

15

A Darelius

11

-

-

-

Hysterectomy

16

Zhiyi Zhou

13

2,951,539

13,616

2,937,923

Pelvic inflammatory disease

17

Yang Deng

8

14,014

6613

7401

Androgen receptor gene

18

Bamia Christina

32

-

11,411

-

Coffee Intake

19

Lihua Wang

13

3,708,313

5534

3,702,779

Diabetes mellitus

20

lilin he

8

45,624

19,260

26,364

MTHFR C677T

21

Chunpeng Wang

38

409,061

40,609

368,452

Endometriosis, Tubal Ligation, Hysterectomy

22

Chunyan Shen

12

1235

806

429

Adenomatous polyposis coli (APC) gene

23

Xiyue Xiao

12

901

612

289

P16INK4a

24

Fangfang Zeng

7

33,456

2011

31,445

Inflammatory markers

25

Dongyu Zhang

23

499,950

15,163

484,787

Aspirin

26

Wenlong Qiu

25

900,000

6612

893,388

Dietary fat intake

27

Qiang Wang

9

740

485

255

CDH1 promoter

28

Xiaoli Hua

12

2,361,494

6,275

2,355,219

Dietary Flavonoids

29

Li-feng Shi

12

2,353,945

8896

2,345,049

Hormone therapy

30

Christos Iavazzo

4

725

385

340

Hypodontia

31

Sang-Hee Yoon

3

5,659,211

3509

5,655,702

salpingectomy

32

Wei Liu

35

42,650

19,527

23,123

A1298C POLYMORPHISM

33

Vida Mohammadi

7

381,810

3653

378,157

flavonoids

34

Lifeng Li

9

-

-

-

Metformin

35

Arefe Parvaresh

13

-

-

-

Quercetin

36

Xiaowei Yu

14

11,471

3796

7675

ERCC2 rs13181 - XRCC2 rs3218536

37

Rui Hou

20

1,117,992

12,046

1,105,946

Dietary fat

38

Zhen Liu

26

34,817

12,963

21 854

overweight, obesity

39

N. Keum

18

-

2636

-

Egg intake

40

Liangxiang Su

4

12,016

2344

9672

BRCA2 N372H

41

Sai-tian Zeng

12

629,453

3728

625,725

Egg intake

42

Xiaolian Zhang

5

4233

1791

2,196

Vascular Endothelial Polymorphisms

43

Li-Ping Feng

19

469,095

9438

459,657

Breastfeeding

44

collaborative Group

52

12,110

-

-

Menopausal hormone use

45

Huang Yan-Hong

13

1,996,841

5857

1,990,984

alcohol consumption

46

Jiyi Hu

8

305,338

3555

301,783

cruciferous vegetables

47

Jing Liao

21

3117

2842

4305

progesterone receptor Polymorphisms

48

Xingzhong Hu

5

5884

2336

3548

RAD51 Gene 135G/C

49

Jing Liu

19

-

-

-

Milk, Yogurt, and Lactose Intake

50

Jun Qin

62

92,857

42,315

50,542

STK15 polymorphisms

51

Luliang Liu

15

14,798

7,450

7,348

MMP-12-82 A/G polymorphism

52

X.Y. Shi

3

7026

-

-

MTHFR A1298C polymorphism

53

M. Zhai

4

10,169

3565

6604

Arg188His polymorphism

54

Yue-Dong Wang

15

1653

822

831

serum levels of osteopontin

55

John A. Barry

3

72,973

919

72,054

polycystic ovary syndrome

56

Xinli Li

10

72,054

6127

65,927

dietary lycopene intake

57

Xue Qin

4

1133

474

659

Asn680Ser polymorphism

58

Shujing Shi

13

16,230

5,927

10,303

RAD51 135 G>C and XRCC2 G>A (rs3218536)

59

M. A. Alqumber

12

2257

993

1264

72 Arg.Pro Polymorphism

60

Pei-yue Jiang

15

889,033

6,087

882,946

Fish Intake

61

Danhua Pu

7

7356

3493

3863

MTHFR Polymorphism

62

Xinwei Pan

8

7724

3,723

4,001

Ala222Val

63

Yulan Yan

4

9108

3,635

5,473

XRCC3 Thr241Met polymorphism

64

Tracy E. Crane

24

519,431

2091

517,340

Dietary Intake

65

Su Li

14

10,964

-

-

VDR rs2228570

66

Dan Cheng

22

15,343

6836

8507

RAD51 Gene 135G/C polymorphism

67

Bo Han

11

379,868

4,306

375,562

Cruciferous vegetables

68

Xin-Lan Qu

10

297,892

4392

293,500

Phytoestrogen Intake

69

Jin-Ze Du

8

3940

1,293

2,647

COMT rs4680 Polymorphism

70

Li-Yuan Han

10

6001

2578

3423

GST Genetic Polymorphisms

71

Da-Peng Li

40

415,949

17,139

398,810

Breastfeeding

72

Yong-Jun Ma

6

3839

1,766

2,073

Rs11615 (C>T)

73

Jalal Poorolajal

19

-

-

-

BMI

74

Li-Min Zhou

6

435,398

2983

432,415

Recreational Physical Activity

75

Piyemeth Dilokthornsakul

4

-

-

-

Metformin

76

Chenglin Li

18

227,859

5677

222,182

Folate intake and MTHFR polymorphism C677T

77

Susan J. Jordan

22

-

-

-

hysterectomy

78

Nan-Nan Luan

35

720,617

14,465

706,152

Breastfeeding

79

Xue Qin

7

4,809

1977

2832

VDR

80

Laura J. Havrilesky

55

31,056

10,031

21,025

Oral Contraceptive

81

Ting-Ting Gong

27

1,020,516

9859

1,010,657

Age at menarche

82

Yanling Liu

6

10,768

4,107

6,661

VDR

83

Louise Baandrup

21

563,976

11,759

552,217

NSAIDs

84

Jung-Yun Lee

19

-

-

-

Diabetes Mellitus

85

Chengbin Ma

10

18, 628

5, 932

12,696

MTHFR C677T polymorphism

86

Ying-Yu Ma

6

3745

1534

2211

MDM2 309T.G Polymorphism

87

Gwan Gyu Song

12

8775

3716

5059

VDR

88

Ketan Gajjar

5

3795

1199

2596

Cytochrome P1B1 (CYP1B1)

89

Xiaojian Ni

17

193,424

10 373

183,051

NSAIDs

90

Lu Liu

4

7127

3,496

3,631

C677T and A1298C polymorphism

91

T.N. Sergentanis

11

5025

1,680

3345

MspI and Ile462-Val and Thr461Asn

92

Collaborative Group

51

123,056

28 114

94,942

Smoking

93

Megan S Rice

30

18,929

-

-

Tubal ligation and Hysterectomy

94

Matteo Rota

27

15,762,134

16,554

15,745,580

Alcohol drinking

95

Collaborative Group

47

106,468

25,157

81,313

Body Size

96

Su-Qin Shen

18

7368

2,193

5,175

TP53 Arg72Pro

97

Xiao-Ping Ding

8

7457

3,379

4,078

MTHFR C677T Polymorphism

98

M.G.M. Braem

150

-

-

-

Genetic variants

99

M. Constanza Camargo

18

21,973

117

22,090

Asbestos

100

David Cibula

3

-

-

-

Oral contraceptives

101

Sarah J. Oppeneer

16

-

7234

-

Tea Consumption

102

Lu Yin

10

157,292

-

-

Circulating vitamin D

103

A Wallin

8

754 836

2349

752,487

Red and processed meat consumption

104

D. Cibula

13

-

-

-

Tubal ligation

105

Ru-Yan Liao

4

15,104

5532

9572

TGFBR1*6A/9A polymorphism

106

Linda S. Cook

20

-

-

-

vitamin D

107

K. P. Economopoulos (2010)

2

4240

2049

2191

Meat, fish

108

Hee Seung Kim

10

135,871

65,578

70,293

Wine

109

S-K Myung

7

169 051

3516

165 535

Soy intake

110

BG Chittenden

1

4547

476

4071

Polycystic ovary syndrome

111

Bo Zhou

27

1,584,610

12,955

1,571,655

Hormone replacement therapy

112

HG Mulholland

2

-

-

-

Dietary glycemic index

113

Catherine M. Olsen

12

2778

1269

1509

Recreational Physical Activity

114

J Steevens

21

-

280

-

Tea and coffee drinking

115

C. M. Greiser

42

48,153

12 238

‬‬

Menopausal hormone therapy

116

Catherine M. Olsen

28

1,640,615

53,182

1,587,433

Obesity

117

S. J. Jordan

9

6474

910

5564

smoking

118

Stefanos Bonovas

8

746,293

‬‬

741,888

Paracetamol

119

Susanna C. Larsson

21

-

-

-

Milk, milk products and lactose intake

120

Grimes DA

3

500

-

-

Oral contraceptives

121

Stefanos Bonovas

10

320,544

3803

316,741

Nonsteroidal anti-inflammatory drugs

122

L-Q Qin

22

134,406

8372

126,034

Milk/dairy products consumption

123

Sonya Kashyap

10

13,480

3624

9856

Assisted Reproductive Technology

124

M. Huncharek

16

11,933

-

-

Cosmetic talc

125

V Bagnardi

235

117 471

235

‬‬

Alcohol drinking

126

Michael Huncharek

8

6,689

2529

4160

Dietary Fat Intake

127

S. S. Coughlin

15

-

-

-

Estrogen replacement therapy

128

Pushkal P. Garg

9

259,794

4392

255,402

Hormone replacement therapy

129

John F. Stratton

15

-

6077

-

Family history

130

Bowen Zheng

13

142,189

5777

136,412

Dietary fiber intake

131

Hai-Fang Wang

22

1,485,988

-

-

Empirically derived dietary patterns

132

Hui Xu

19

567,742

-

-

Dietary fiber intake

133

Dongyu Zhang

14

180,833

7500

‬‬

Non-herbal tea consumption

134

Yun-Long Huo

6

81,791

7878

73,913

antidepressant medication

135

Massimiliano Berretta

9

787,076

3,541

‬‬

Coffee consumption

136

Jiaqi Li

7

65,754

-

-

vitamin D receptor

137

Xianling Zeng

11

9987

4097

5890

RAD51 135 G/C polymorphism

138

Marieke GM Braem

3

330,849

1244

329,605

Coffee and tea consumption

139

Shanliang Zhong

19

730,703

9,459

‬‬

Nonoccupational physical activity

140

Xiumin Huang

17

149,177

7609

73,168

dietary fiber intake

141

Ting Liu

17

16,363

6,365

9,998

Progesterone receptor PROGINS

142

Yanyang Pang

10

2354

-

-

Dietary protein intake

143

Ke Wei Foong

43

3,491,943

-

-

Obesity

144

Lingling Zhou

2

774

389

385

SNP rs763110

145

Rizzuto I

25

182,972

-

-

ovarian stimulating drugs for infertility

146

Yanqiong Liu

5

624

-

-

Statin

147

Ahmad Sayasneh

8

-

653

-

Endometriosis

148

Jia li

25

957,152

-

-

Endometriosis

149

Ho Kyung Sung

32

530,950

7639

523,311

Breastfeeding

150

Mahdieh Kamali

17

10,817

4464

6353

XRCC2 rs3218536

151

Menelaos Zafrakas

16

-

17,445

-

Endometriosis

152

Dagfinn Aune

28

-

-

-

Anthropometric factors

153

QIAO WANG

4

1985

627

1358

circulating insulin

154

Yihua Yin

11

6192

2,673

3519

glutathione S-transferase

155

Ximena Gianuzzi

14

8130

1,149

6981

Insulin growth factor (IGF)

156

Li-Ling Liu

4

2675

1073

1602

transforming growth factor b receptor

157

Yong-qiang Wang

4

580,581

2444

578,137

TGFBR1 Polymorphisms

158

Dongyang Li

44

1,082,092

48,345

1,033,747

Dietary inflammatory index

159

Si Huang

10

4605

2394

2211

miR-502-binding site

160

Eileen Deuster

200

-

-

-

VDR

161

Ru Chen

28

3362

2,171

1191

MGMT Promoter

162

Joanna Kruk

26

-

-

-

Dietary alkylresorcinols

163

Xue-Feng Li

11

33,209

14,030

19,179

lncRNA H19 polymorphisms

164

Yan Jiang

1

285

165

120

ARLTS1 polymorphism

165

Qiuyan Li

7

-

-

-

BRCA2 rs144848 polymorphism

166

Mohamed Hosny Osman

1

2,116,029

7124

2,108,905

Cardiac glycosides

167

Erjiang Zhao

4

-

-

-

Glutathione S-transferase

168

Giuseppe Grosso

4

-

-

-

Diet

169

Limin Miao

6

6027

2156

3871

BRCA1 P871L polymorphism

170

Na-Na Yang

4

2110

944

1166

XRCC1 polymorphism

171

Giuseppe Grosso

53

-

-

-

Dietary flavonoid

172

Juan Enrique Schwarze

4

-

-

-

Reproduction technologies

173

Rosanne M. Kho

10

-

-

-

Hysterectomy

174

K Robinson

11

-

-

-

Bisexual

175

Hong-Bae Kim

6

1937

-

-

Benzodiazepine

176

Chuanjie Zhang

3

2628

1276

1352

NFκB1-94ins/del ATTG

177

Minjie Chu

2

18,540

6,857

11,683

H19 lncRNA

178

Duan Wang

4

3036

1463

1573

NFKB1 −94 ins/del ATTG

179

Jun Wang

19

3,87,71,388

13,116

38,758,272

BMI

180

Yun-Feng Zhang

1

549

229

320

IL-27 Genes

181

Ping Wang

2

-

-

-

MDM2 SNP285

182

Wenkai Xia

4

1248

497

751

ESR2

183

Lei Chen

2

-

-

-

L55M polymorphism

184

Davide Serrano

3

5456

2313

3143

VDR

185

Ranadip Chowdhury

41

-

-

-

Breastfeeding

186

Zhi-Ming Dai

3

3530

1475

2055

VDR

187

Claudio Pelucchi

4

-

2,010

-

Dietary acrylamide

188

Yu-Fei Zhang

6

619 714

2933

‬‬

Tea consumption

189

Jin-Lin Cao

2

9245

3102

6143

TERT Genetic Polymorphism

190

Myung-Jin Muna

6

‬‬

4107

6661

VDR

191

NaNa Keum

6

-

-

-

Weight Gain

192

Sheng-Song Chen

2

1185

556

629

MMP-12 82 A/G polymorphism

193

Bei-bei Zhang

45

57,328

28,956

28,372

Genetic 135G/C polymorphism

194

Sara Raimondi

5

97,275

45,218

52,057

BsmI polymorphism

195

Shang Xie

15

11,644

5873

5771

LIG4 gene polymorphisms

196

Wen-Qiong Xue

4

‬‬

36,299

48,483

BRCA2 N372H

197

Patrizia Gnagnarella

6

10,588

4051

6537

VDR

198

Peter Boyle

2

-

-

-

Sweetened carbonated beverage consumption

199

Tara M. Friebel

5

-

-

-

BRCA1 and BRCA2

200

Xin Wang

41

42,121

17,814

24,307

FAS rs2234767G/A Polymorphism

201

Yeqiong Xu

7

11,009

4210

6799

VDR

202

H S Kim

35

444 255

-

-

Endometriosis

203

Yazhou He

7

69,524

30,868

38,656

XRCC2 Arg188His Polymorphismc

204

Weifeng Tang

14

27,269

11,245

16,024

Aurora-A V57I (rs1047972) Polymorphism

205

Yeqiong Xu

3

937

457

480

Polymorphisms

206

Mengmeng Zhao

42

39,505

19,142

20,363

Rad51 G135C

207

Xiao Yang

21

‬‬

6127

9238

NFKB1 −94ins/del ATTG Promoter

208

Bai-Lin Zhang

7

-

9956

-

Blood Groups

209

Ursula Schwab

-

-

-

-

Dietary fat on cardiometabolic

210

Tie-Jun Liang

21

8720

3,498

5,222

137G>C polymorphism

211

Wei Wang

39

41,698

19,068

22,630

RAD51 135 G.C Polymorphism

212

Lei Xu

47

43,295

19,810

23,485

FASL rs763110 Polymorphism

213

Jingxiang Chen

19

48,670

14,814

33,856

TCF7L2 Gene Polymorphism

214

Monica Franciosi

53

1,050,984

-

-

Metformin

215

Zhou Zhong-Xing

41

42,169

17,858

24,311

FAS-1377 G/A (rs2234767) Polymorphism

216

Zhibin Yu

73

38,278

15,942

22,336

Interleukin 10 - 819 C/T Polymorphism

217

Shangqian Wang

2

1706

794

912

PAI-1 4G/5G Polymorphism

218

Li Li Li

8

746,455

-

-

Fertilization

219

XIN XU

21

17,623

8,415

9,208

PAI-1 promoter

220

Dominique Trudel

22

-

-

-

Green tea

221

Tian-Biao Zhou

6

2,658

1,461

1,197

Gene Polymorphism

222

Xin-Min Pan

17

27,759

13 691

14 068

MLH1 -93 G>A polymorphism

223

Jane Green

-

-

4830

-

Height

224

C. Pelucchi

3

-

1594

-

Acrylamide

225

Bo Peng

4

1240

443

797

Polymorphisms

226

Bahi Takkouche

10

-

-

-

Hairdressers

227

Bahi Takkouche

2

556

238

318

Hair Dyes

228

V. G. Kaklamani

1

907

659

248

TGFBR1*6A

229

Song Mao

3

-

-

-

klotho expression

230

Mukete Franklin Sona

15

1 915 179

31 893

1,911,045

Type 1 diabetes mellitus

231

Christine Schwarz

4

-

-

-

Night shift work

232

Xiaoqing Shi

-

1208

604

604

NME1 polymorphisms

233

H.J. van der Rhee

2

-

-

-

Sunlight

234

Nadin Younes

44

-

805

-

Polymorphisms

235

Yue Xu

1

-

-

-

BHMT gene rs3733890

236

Zhong Tian

46

51,413

22,993

28,420

CYP1A2*1F polymorphism

237

Yu Wang

1

79,988

-

-

Renal transplants

238

T. O. Yang

-

453 023

2009

451,014

Birth weight

239

Lanhua Tang

-

-

-

-

Night work

240

Steven M. Koehler

8

-

-

-

BMP-2

241

Yan Zhang

9

5632

2,331

3,301

VDR

242

Ivana Rizzuto

25

182,972

-

-

Stimulating drugs for infertility

243

Xiao-san Zhang

7

105,507

6783

98,724

Bisphosphonates

use

244

Yun Ye

10

1045

-

-

B7-H4 expression

245

Junga Lee

34

-

-

-

Physical activity

246

Huijun Yang

26

1,174,527

11 410

1 163 117

Age at menarche

247

M. Kadry Taher

27

214,447

15,303

199,144

Perineal use of talc powder

248

Yanjun Wu

13

2,471,030

19,959

2,451,071

Age at last birth

249

A. Moazeni-Roodi

19

37,036

13,562

23,474

MDM2 40 bp indel polymorphism

250

Fateme Shafiei (2018)

22

40 140

8568

31,572

Caffeine

251

Lindsay J. Wheeler

11

13,591

4,484

9,107

Intrauterine Device Use

252

Yuhang Long

16

437,689

4,553

433,136

vitamin C intake

253

M. Arjmand (2020)

16

4184

1106

3078

Circulating omentin levels

254

Claudia Santucci

37

-

70,646

-

smoking

255

A. Salari-Moghaddam

14

-

4434

-

Caffeine

256

M. Karimi-Zarchi

11

12,720

4990

7730

MTHFR 677 C>T Polymorphism

257

Fan Yang

2

445

-

-

ERCC1 gene polymorphisms

258

Tingting Yang

3

-

-

-

Work Stress

259

Youxu Leng

14

-

4597

-

vitamin E

260

Jalal Choupani

4

9532

843

110

mir-196a-2 rs11614913

261

Xiaqin Huo

18

-

14,440

-

Hysterectomy

262

A. Bodurtha Smith

58

292,730

528

292,202

HIV

263

Alireza Sadeghia

21

900,000

-

-

Dietary Fat Intake

264

Kui Zhang

13

40,404

6449

33,955

Fermented dairy foods

265

Zohre Momenimovahed

20

-

-

-

Fertility Drugs

266

Christina Bamia

31

-

13,111

-

Coffee consumption

267

Boris Janssen

115

-

-

-

predicted pathogenic PALB2

268

Yang Liu

12

1,193,201

-

-

Menopausal Hormone Replacement

269

Javaid Iqbal

2

5093

1114

3979

Hormone Levels

270

Sen Li

12

12,933

5057

7876

Genetic polymorphism of MTHFR C677T

271

Guisheng He

45

1,059,975

329,035

730,940

TERT rs10069690 polymorphism

272

Yizi Wang

36

4, 229,061

-

-

Statin use

273

Jun Yu

83

21,612

-

-

SFRP promoter hypermethylation

274

Qiao Wen

7

1,710,080

-

-

Metformin

275

Suszynska M1

5

3748

1919

1829

EPHX1 polymorphism rs1051740

276

Tian Xu1

21

29,981

13,675

16,306

HOTAIR polymorphisms

277

Jinghua Shi

13

901,287

-

-

Metformin