Abstract
Background
Male androgenetic alopecia (MAGA) is often accompanied by female pattern hair loss (FPHL). However, the risk factors related to MAGA with FPHL are unclear.
Objective
To investigate demographic and laboratory factors related to MAGA with FPHL.
Methods
This retrospective case-control study was performed in a single tertiary care center for MAGA with FPHL between March 2012 and September 2021. Eligible patients were males >12 years old diagnosed with androgenetic alopecia by a dermatologist. The patients were subdivided into MAGA with FPHL and MAGA without FPHL groups. Comorbidities as well as demographic, laboratory, and disease-specific variables were compared between the two groups. Data analysis was conducted between October 2021 and February 2022. The independent samples t-test, Mann–Whitney U test, and chi-squared test were used to assess the factors that contributed to MAGA with FPHL.
Results
Of 469 patients with MAGA, 309 (65.9%) had FPHL, which was a much higher rate than previously reported. Among the variables, only matrilineal (odds ratio, 1.605; 95% confidence interval, 1.014~2.541) and maternal history (odds ratio, 4.705; confidence interval, 1.632~13.559) of androgenetic alopecia were significantly associated with MAGA with FPHL. In the MAGA with FPHL group, a significant positive correlation was noted between body mass index and the type F score (r=0.114, p=0.025).
Conclusion
In this case-control study, patients with MAGA and a maternal history of androgenetic alopecia were at risk of FPHL. Therefore, early screening may benefit these patients.
Keywords: Alopecia, Androgens, Aromatase, Diagnosis, Genetics
INTRODUCTION
Androgenetic alopecia (AGA) is the most common hair loss disorder; there are racial differences in its presentation, with a prevalence of approximately 15% to 20% in Asians1,2,3,4,5. Androgens play a major role in AGA pathogenesis6 and the miniaturization of hair follicles is a hallmark feature of the condition7,8. AGA is also called pattern hair loss because it shows a characteristic hair loss pattern5. Various classification modalities such as Hamilton, Norwood–Hamilton, and Olsen classification have been proposed to distinguish pattern hair loss1,9,10. However, Ludwig, Olsen, and Sinclair classification methods are used for AGA in females1. For AGA in females, the hair density in the mid-frontal area decreases; however, for AGA in males, the hair density in the frontal hairline is maintained11. These classification methods had a limitation in that they could not classify cases of female pattern hair loss (FPHL) in males or of male pattern hair loss (MPHL) in females12,13,14,15. Therefore, the basic and specific (BASP) classification method was proposed to address this limitation16,17. In this classification method, male AGA (MAGA) is generally characterized as type V (specific type), along with the basic types and FPHL is classified as types F, T, and O (specific types), with each type divided into three stages16,18.
FPHL in males was first described in 199319; the prevalence of FPHL in males has been reported to be higher in Koreans than in Caucasians3. Based on the BASP classification, MAGA with FPHL can be defined as MAGA with BASP type F and is considered a distinct clinical variant. In a 2014 epidemiological study, the proportion of Korean males with type F was 24.2%, which was a non-negligible proportion20. Recently, Kerkemeyer et al.21 reported a high rate of hypotestosteronemia and hypovitaminosis D in patients with FPHL during a retrospective review of 84 males with FPHL; however, the factors that contribute to MAGA with FPHL are not yet clear. The main objective of this study was to determine the factors related to MAGA with FPHL. We hypothesized that a maternal family history of AGA, differences in male sex hormone levels including serum testosterone, and factors that could affect peripheral microcirculation were related to MAGA with FPHL.
MATERIALS AND METHODS
Patients and candidate factors
In this retrospective study, we reviewed males diagnosed with AGA at Wonju Severance Christian Hospital between March 2012 and September 2021. We defined MAGA with FPHL as MAGA with a frontal type (type F) pattern of hair loss in the BASP classification. Patients were subdivided into MAGA without FPHL and MAGA with FPHL. We excluded patients for whom FPHL could not be determined. The presence or absence of FPHL was confirmed based on the BASP type recorded in the medical records; if the BASP type was not recorded, two dermatologists would review the patient's clinical picture and determine the type. Each medical record was reviewed for demographic data, comorbidities, and disease-specific factors, including age, body mass index (BMI), smoking history, alcohol use, hypertension, diabetes mellitus, dyslipidemia, and family history of AGA. In the case of family history, we assessed the patients to identify those eligible for a family history of AGA; we divided family history into total family history, patrilineal history (father and/or grandfather), matrilineal history (mother and/or grandmother), and maternal history (mother only). Additionally, laboratory variables including total cholesterol, triglyceride, free thyroxine (T4), testosterone, dehydroepiandrosterone sulfate (DHEA-S), and prostate-specific antigen (in those over 45 years of age) were compared between the two groups. This study was approved by the institutional review board of Yonsei University Wonju College of Medicine (approval no: CR321158).
Statistical analysis
Continuous data such as age, BMI, smoking history, and laboratory variables were presented as means and standard deviations. Categorical data including alcohol use, comorbidities, and familial history of AGA were reported as percentages. The independent samples t-test and Mann–Whitney U test were used to compare continuous data and the chi-squared test was used to compare categorical data. Analyses were performed using SPSS version 23.0 (IBM Corp.) and GraphPad Prism software version 9.1.1 (GraphPad). p-values of <0.05 were considered statistically significant.
RESULTS
A total of 648 patients with MAGA visited our department during the study period and 469 were included in this study, after excluding patients whose FPHL status could not be determined. Table 1 summarizes the baseline characteristics of the 469 patients included in this retrospective study; 309 of the 469 patients (65.9%) had F-type hair loss. There were no significant differences in demographic variables, comorbidities, and laboratory variables between the FPHL and non-FPHL groups. Table 2 summarizes the BASP classification of the 469 patients.
Table 1. Baseline characteristics of the patients (n=469).
| Characteristic | MAGA with FPHL (n=309) | MAGA without FPHL (n=160) | p-value | |
|---|---|---|---|---|
| Demographic variable | ||||
| Age (yr) | 36.1±13.0 | 33.9±12.2 | 0.102 | |
| BMI (kg/m²) | 24.6±3.2 | 23.9±2.8 | 0.053 | |
| Smoking Hx (pack-years) | 4.1±8.5 | 4.0±8.8 | 0.777 | |
| Alcohol use | 156 (50.5) | 84 (52.5) | 0.721 | |
| Comorbidity | ||||
| Hypertension | 26 (8.4) | 10 (6.3) | 0.648 | |
| Diabetes mellitus | 16 (5.2) | 8 (5.0) | >0.99 | |
| Dyslipidemia | 28 (9.1) | 8 (5.0) | 0.217 | |
| Disease-specific factor | ||||
| Familial Hx of AGA | 209 (67.6) | 109 (68.1) | 0.810 | |
| Patrilineal Hx of AGA | 155 (50.2) | 92 (57.5) | 0.093 | |
| Matrilineal Hx of AGA | 93 (30.1) | 34 (21.3) | 0.044* | |
| Maternal Hx of AGA | 33 (10.7) | 4 (2.5) | 0.002* | |
| Laboratory variable | ||||
| Total cholesterol (mg/dl) | 178.99±33.08 | 178.51±36.53 | 0.893 | |
| Triglyceride (mg/dl) | 153.00±100.05 | 146.60±126.37 | 0.142 | |
| Free T4 (ng/dl) | 1.33±0.24 | 1.36±0.23 | 0.275 | |
| Testosterone (ng/ml) | 4.77±1.60 | 4.98±1.60 | 0.219 | |
| DHEA-S (μg/dl) | 226.60±108.45 | 239.21±104.00 | 0.275 | |
| PSA (ng/ml)† | 0.82±0.72 | 0.84±0.43 | 0.251 | |
Values are presented as mean±standard deviation or number (%). AGA: androgenetic alopecia, BMI: body mass index, DHEA-S: dehydroepiandrosterone sulfate, FPHL: female pattern hair loss, Hx: history, MAGA: male androgenetic alopecia, PSA: prostate-specific antigen. *Significant values (p<0.05). †PSA was measured only in patients over 45 years of age (n=82).
Table 2. Summary of the BASP classification of the 469 patients.
| Type | MAGA with FPHL (n=309) | MAGA without FPHL (n=160) | Total (n=469) | ||
|---|---|---|---|---|---|
| Basic type | |||||
| L | 84 (27.2) | 25 (15.6) | 109 (23.2) | ||
| M | |||||
| M0 | 3 (1.0) | 2 (1.3) | 5 (1.1) | ||
| M1 | 123 (39.8) | 69 (43.1) | 192 (40.9) | ||
| M2 | 76 (24.6) | 44 (27.5) | 120 (25.6) | ||
| M3 | 14 (4.5) | 6 (3.8) | 20 (4.3) | ||
| C | |||||
| C0 | 2 (0.6) | 0 (0.0) | 2 (0.4) | ||
| C1 | 4 (1.3) | 2 (1.3) | 6 (1.3) | ||
| C2 | 3 (1.0) | 1 (0.6) | 4 (0.9) | ||
| C3 | 0 (0.0) | 1 (0.6) | 1 (0.2) | ||
| U | |||||
| U1 | 0 (0.0) | 8 (5.0) | 8 (1.7) | ||
| U2 | 0 (0.0) | 2 (1.3) | 2 (0.4) | ||
| U3 | 0 (0.0) | 0 (0.0) | 0 (0.0) | ||
| Specific type | |||||
| V | |||||
| V1 | 151 (48.9) | 63 (39.4) | 214 (45.6) | ||
| V2 | 52 (16.8) | 17 (10.6) | 69 (14.7) | ||
| V3 | 17 (5.5) | 12 (7.5) | 29 (6.2) | ||
| F | |||||
| F1 | 161 (52.1) | 0 (0.0) | 161 (34.3) | ||
| F2 | 125 (40.5) | 0 (0.0) | 125 (26.7) | ||
| F3 | 23 (7.4) | 0 (0.0) | 23 (4.9) | ||
Values are presented as number (%). BASP: basic and specific, MAGA: male androgenetic alopecia, FPHL: female pattern hair loss.
Regarding disease-specific variables, although there were very few patients with maternal history in both groups that could affect these results, there was a significant difference in matrilineal history and maternal history between the two groups, and the rate of FPHL was higher if there was a maternal history of AGA. Patients with MAGA who had a patrilineal history of AGA had a decreased risk of FPHL (odds ratio [OR], 0.690; 95% confidence interval [CI], 0.455~1.049). In contrast, patients with MAGA who had a matrilineal history of AGA had an increased risk of FPHL (OR, 1.605; 95% CI, 1.014~2.541). In the presence of a maternal history of AGA, the OR significantly increased to 4.705 (95% CI, 1.632~13.559) (Fig. 1).
Fig. 1. Factors related to male androgenetic alopecia (MAGA) with female pattern hair loss (FPHL). The forest plot shows the OR of FPHL in patients with MAGA versus in the controls. AGA: androgenetic alopecia, OR: odds ratio, CI: confidence interval.
Correlation analysis was performed to determine factors that were correlated with the type F score of the BASP classification method in the FPHL group. The type F score showed a positive correlation with age and BMI; a significant negative correlation with free T4, testosterone, and DHEA-S. In partial correlation analysis for age, only BMI retained its positive correlation with the type F score (r=0.114, p=0.025) (Table 3).
Table 3. Correlation between type F scores and variables.
| Type F scores | |||||
|---|---|---|---|---|---|
| r | p-value | r† | p-value† | ||
| Demographic variables | |||||
| Age | 0.256* | <0.001* | 0.114* | 0.025* | |
| BMI | 0.136* | 0.007* | |||
| Smoking Hx | 0.044 | 0.393 | |||
| Laboratory variables | |||||
| Total cholesterol | 0.014 | 0.768 | |||
| Triglyceride | 0.060 | 0.222 | |||
| Free T4 | –0.122 | 0.042* | –0.090 | 0.138 | |
| Testosterone | –0.117 | 0.017* | –0.082 | 0.094 | |
| DHEA-S | –0.186 | <0.001* | –0.075 | 0.126 | |
| PSA | –0.113 | 0.311 | |||
BMI: body mass index, Hx: history, DHEA-S: dehydroepiandrosterone sulfate, PSA: prostate-specific antigen. *Significant values. †Ageadjusted correlation coefficient and p-value.
DISCUSSION
Traditionally, there is a clinical difference between MPHL and FPHL. A previous study reported that females had fewer androgen receptors, 5α-reductase types 1 and 2, and a higher amount of cytochrome P-450 aromatase than males8. Such androgen-independent features are considered the reason for the appearance of FPHL clinical features. However, it is common for males to have FPHL, which is a variant of MAGA and the factors related to MAGA with FPHL have not been identified. MAGA with FPHL is known to have a higher prevalence in Asians than in Caucasians. In 2014, Yeo et al.20 reported that 24.2% of Korean patients with MAGA had F-type hair loss. According to recently reported Australian data, the rate of MAGA with FPHL was very low at 3.9%21. However, our data showed a considerably higher rate (65.9%) compared to previous results. Although if there was no record of BASP classification, the authenticity of our diagnosis of MAGA with FPHL would seem questionable because of the much higher rate compared to previous reports. However, with the BASP classification, the result was reasonable because it was based on clinical photographs being determined by two dermatologists at the time of the initial consultation. Another explanation for higher prevalence is that patients without confirmed FPHL, who may not have FPHL, were not included in our study. A representative patient is presented in Fig. 2.
Fig. 2. A 30-year-old male with LF2 type (basic and specific classification) of androgenetic alopecia. While the anterior hairline has a normal appearance, a marked decrease in hair density can be observed in the frontal scalp.

To our knowledge, this study is the first study to investigate demographic and laboratory factors related to MAGA with FPHL. Furthermore, we subdivided the family history of AGA into total, patrilineal, and matrilineal. We confirmed that the risk of FPHL in MAGA patients significantly increased if there was a matrilineal history of AGA, especially a maternal history. To date, several susceptibility genes/loci, including the androgen receptor/ectodysplasin A2 receptor on chromosome X22 and histone deacetylase 9 on chromosomes 7p2123, 2q3524, 2q37.3 have been associated with AGA25. However, genes/loci located on autosomes showed no association with FPHL26. A study in the Chinese population confirmed that 22 autosomal MAGA-associated tag single-nucleotide polymorphisms were unrelated to FPHL27. Considering these results, the observed impact of a maternal history of AGA on MAGA with FPHL suggests that the androgen receptor gene located on the X chromosome, inherited from the mother, plays a major role in the expression of FPHL.
However, in the case of cardiovascular disease risk factors such as hypertension, diabetes mellitus, dyslipidemia, BMI, and smoking history, which can affect peripheral microcirculation, there were no significant differences between MAGA with and without FPHL. Therefore, the microcirculation of the scalp may have an effect, but the effect is not considerable, and in all, the roles of age and genetic factors, which are the most important risk factors of AGA can be re-emphasized.
In the correlation analysis conducted within the MAGA with FPHL group, type F scores showed a significant positive correlation with age and BMI, which is a reasonable finding considering that AGA progresses with aging. Although the correlation was not significant with adjustment for age, as noted in recent reports21, an increase in the type F score was associated with lower testosterone levels. Testosterone levels were found to be significantly lower in males with F-type pattern hair loss28, which has been linked to MAGA29. We hypothesize that aromatase, prostaglandin D2 (PGD2) synthase, which is induced by testosterone30, and PGD2 are likely to be involved in FPHL, owing to the lower testosterone levels in Asian males. These result in higher aromatase levels, which play a detoxifying role against androgens in females31 and lower PGD2 levels, which inhibit hair growth32,33. Furthermore, if testosterone levels are high, the hair follicles in the frontal hairline become more sensitive to dihydrotestosterone, and if they are low, the sensitivity of the frontal area increases relatively. Genetic predispositions, such as androgen receptor polymorphism on the X chromosome, as well as differences in testosterone levels, may explain the variations in the prevalence of MAGA with FPHL observed between regions and ethnicities. Further research is needed to confirm this phenomenon.
In our study, BMI showed a significant positive correlation even with adjustment for age. Considering that the prevalence of FPHL was high in females with metabolic syndrome in a previous study of Koreans, risk factors of metabolic syndrome such as BMI appear to affect the presence of FPHL in males34.
In this study, MAGA patients were classified using the unique BASP classification method that can classify both MPHL and FPHL16. In addition, this study, which aimed to reconfirm the validity of the BASP classification by showing that males with a maternal family history of AGA have a higher risk of accompanying FPHL, has implications in that it is a follow-up concept study of the 2011 study17. Further, because MAGA patients with FPHL are thought to have a poorer quality of life35, for early screening of FPHL, a more detailed family history of AGA should be obtained even in males without FPHL.
This study has some limitations. First, the study considered only one ethnicity and was a single-institution retrospective study. However, sufficient sample size was obtained, and the results derived from the single ethnicity suggest there may be differences in polymorphism between races. Second, although there was a risk of patient recall bias, the family history of AGA obtained from the patients was considered reliable because the average age of the patients was not high (mid-30s). Third, there may have been issues with interrater reliability, but the BASP classification is an objective and intuitive method, and since the evaluation was performed by two trained dermatologists, their results can be considered reliable16. In all, studies seem necessary to confirm the quality of life and compliance of MAGA patients with FPHL, and larger studies are needed to precisely determine the prevalence of MAGA with FPHL.
In conclusion, our study shows that patients with MAGA and a maternal history of AGA are more likely to have FPHL. Therefore, early recognition and intervention would be necessary for these patients.
ACKNOWLEDGMENT
The patients in this manuscript have given written informed consent to the publication of their case details.
Footnotes
CONFLICTS OF INTEREST: The authors have nothing to disclose.
FUNDING SOURCE: None.
DATA SHARING STATEMENT
The data that support the findings of this study are available from the corresponding author upon reasonable request.
References
- 1.Hamilton JB. Patterned loss of hair in man; types and incidence. Ann N Y Acad Sci. 1951;53:708–728. doi: 10.1111/j.1749-6632.1951.tb31971.x. [DOI] [PubMed] [Google Scholar]
- 2.Rhodes T, Girman CJ, Savin RC, Kaufman KD, Guo S, Lilly FR, et al. Prevalence of male pattern hair loss in 18-49 year old men. Dermatol Surg. 1998;24:1330–1332. doi: 10.1111/j.1524-4725.1998.tb00009.x. [DOI] [PubMed] [Google Scholar]
- 3.Paik JH, Yoon JB, Sim WY, Kim BS, Kim NI. The prevalence and types of androgenetic alopecia in Korean men and women. Br J Dermatol. 2001;145:95–99. doi: 10.1046/j.1365-2133.2001.04289.x. [DOI] [PubMed] [Google Scholar]
- 4.Wang TL, Zhou C, Shen YW, Wang XY, Ding XL, Tian S, et al. Prevalence of androgenetic alopecia in China: a community-based study in six cities. Br J Dermatol. 2010;162:843–847. doi: 10.1111/j.1365-2133.2010.09640.x. [DOI] [PubMed] [Google Scholar]
- 5.Lee WS, Lee HJ. Characteristics of androgenetic alopecia in Asian. Ann Dermatol. 2012;24:243–252. doi: 10.5021/ad.2012.24.3.243. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Orentreich N. Pathogenesis of alopecia. J Soc Cosmet Chem. 1960;11:479–499. [Google Scholar]
- 7.Messenger AG. The control of hair growth: an overview. J Invest Dermatol. 1993;101(1 Suppl):4S–9S. doi: 10.1111/1523-1747.ep12362437. [DOI] [PubMed] [Google Scholar]
- 8.Sawaya ME, Price VH. Different levels of 5alpha-reductase type I and II, aromatase, and androgen receptor in hair follicles of women and men with androgenetic alopecia. J Invest Dermatol. 1997;109:296–300. doi: 10.1111/1523-1747.ep12335779. [DOI] [PubMed] [Google Scholar]
- 9.Norwood OT. Male pattern baldness: classification and incidence. South Med J. 1975;68:1359–1365. doi: 10.1097/00007611-197511000-00009. [DOI] [PubMed] [Google Scholar]
- 10.Olsen EA. Current and novel methods for assessing efficacy of hair growth promoters in pattern hair loss. J Am Acad Dermatol. 2003;48:253–262. doi: 10.1067/mjd.2003.81. [DOI] [PubMed] [Google Scholar]
- 11.Ramos PM, Miot HA. Female pattern hair loss: a clinical and pathophysiological review. An Bras Dermatol. 2015;90:529–543. doi: 10.1590/abd1806-4841.20153370. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Ludwig E. Classification of the types of androgenetic alopecia (common baldness) occurring in the female sex. Br J Dermatol. 1977;97:247–254. doi: 10.1111/j.1365-2133.1977.tb15179.x. [DOI] [PubMed] [Google Scholar]
- 13.Olsen EA. Female pattern hair loss. J Am Acad Dermatol. 2001;45(3 Suppl):S70–S80. doi: 10.1067/mjd.2001.117426. [DOI] [PubMed] [Google Scholar]
- 14.Olsen EA. The midline part: an important physical clue to the clinical diagnosis of androgenetic alopecia in women. J Am Acad Dermatol. 1999;40:106–109. doi: 10.1016/s0190-9622(99)70539-6. [DOI] [PubMed] [Google Scholar]
- 15.Sinclair R, Jolley D, Mallari R, Magee J. The reliability of horizontally sectioned scalp biopsies in the diagnosis of chronic diffuse telogen hair loss in women. J Am Acad Dermatol. 2004;51:189–199. doi: 10.1016/s0190-9622(03)00045-8. [DOI] [PubMed] [Google Scholar]
- 16.Lee WS, Ro BI, Hong SP, Bak H, Sim WY, Kim DW, et al. A new classification of pattern hair loss that is universal for men and women: basic and specific (BASP) classification. J Am Acad Dermatol. 2007;57:37–46. doi: 10.1016/j.jaad.2006.12.029. [DOI] [PubMed] [Google Scholar]
- 17.Lee WS, Oh Y, Ji JH, Park JK, Kim DW, Sim WY, et al. Analysis of familial factors using the basic and specific (BASP) classification in Korean patients with androgenetic alopecia. J Am Acad Dermatol. 2011;65:40–47. doi: 10.1016/j.jaad.2010.05.005. [DOI] [PubMed] [Google Scholar]
- 18.Kim BJ, Choi J, Choe SJ, Lee S, Lee WS. Modified basic and specific (BASP) classification for pattern hair loss. Int J Dermatol. 2020;59:60–65. doi: 10.1111/ijd.14553. [DOI] [PubMed] [Google Scholar]
- 19.Trüeb RM. Female pattern baldness in men. J Am Acad Dermatol. 1993;29:782–783. doi: 10.1016/s0190-9622(08)81702-1. [DOI] [PubMed] [Google Scholar]
- 20.Yeo IK, Jang WS, Min PK, Cho HR, Cho SW, Hong NS, et al. An epidemiological study of androgenic alopecia in 3114 Korean patients. Clin Exp Dermatol. 2014;39:25–29. doi: 10.1111/ced.12229. [DOI] [PubMed] [Google Scholar]
- 21.Kerkemeyer KL, de Carvalho LT, Jerjen R, John J, Sinclair RD, Pinczewski J, et al. Female pattern hair loss in men: a distinct clinical variant of androgenetic alopecia. J Am Acad Dermatol. 2021;85:260–262. doi: 10.1016/j.jaad.2020.09.042. [DOI] [PubMed] [Google Scholar]
- 22.Redler S, Brockschmidt FF, Tazi-Ahnini R, Drichel D, Birch MP, Dobson K, et al. Investigation of the male pattern baldness major genetic susceptibility loci AR/EDA2R and 20p11 in female pattern hair loss. Br J Dermatol. 2012;166:1314–1318. doi: 10.1111/j.1365-2133.2012.10877.x. [DOI] [PubMed] [Google Scholar]
- 23.Brockschmidt FF, Heilmann S, Ellis JA, Eigelshoven S, Hanneken S, Herold C, et al. Susceptibility variants on chromosome 7p21.1 suggest HDAC9 as a new candidate gene for male-pattern baldness. Br J Dermatol. 2011;165:1293–1302. doi: 10.1111/j.1365-2133.2011.10708.x. [DOI] [PubMed] [Google Scholar]
- 24.Heilmann S, Kiefer AK, Fricker N, Drichel D, Hillmer AM, Herold C, et al. Androgenetic alopecia: identification of four genetic risk loci and evidence for the contribution of WNT signaling to its etiology. J Invest Dermatol. 2013;133:1489–1496. doi: 10.1038/jid.2013.43. [DOI] [PubMed] [Google Scholar]
- 25.Li R, Brockschmidt FF, Kiefer AK, Stefansson H, Nyholt DR, Song K, et al. Six novel susceptibility loci for early-onset androgenetic alopecia and their unexpected association with common diseases. PLoS Genet. 2012;8:e1002746. doi: 10.1371/journal.pgen.1002746. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Nuwaihyd R, Redler S, Heilmann S, Drichel D, Wolf S, Birch P, et al. Investigation of four novel male androgenetic alopecia susceptibility loci: no association with female pattern hair loss. Arch Dermatol Res. 2014;306:413–418. doi: 10.1007/s00403-013-1436-4. [DOI] [PubMed] [Google Scholar]
- 27.Liang B, Ding Y, Zhou Y, Yang C, Cheng Z. Evaluation of susceptibility genes/loci associated with male androgenetic alopecia (MAGA) for female-pattern hair loss in a Chinese Han population and a brief literature review. Med Sci Monit. 2021;27:e933424. doi: 10.12659/MSM.933424. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Lee S, Choe SJ, Lee H, Choi J, Lee WS. Variation in male sex hormone levels among the pattern subtypes of hair loss in patients with androgenetic alopecia. J Dermatol. 2018;45:240–241. doi: 10.1111/1346-8138.13793. [DOI] [PubMed] [Google Scholar]
- 29.Narad S, Pande S, Gupta M, Chari S. Hormonal profile in Indian men with premature androgenetic alopecia. Int J Trichology. 2013;5:69–72. doi: 10.4103/0974-7753.122961. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Blakemore J, Naftolin F. Aromatase: contributions to physiology and disease in women and men. Physiology (Bethesda) 2016;31:258–269. doi: 10.1152/physiol.00054.2015. [DOI] [PubMed] [Google Scholar]
- 31.Kang YR, Bak SS, Kim MK, Joo HW, Mali NM, Shin MJ, et al. Expression level of prostaglandin D2 receptor 2 regulates hair regression. J Invest Dermatol. 2019;139:1824–1828.e2. doi: 10.1016/j.jid.2019.02.012. [DOI] [PubMed] [Google Scholar]
- 32.Garza LA, Liu Y, Yang Z, Alagesan B, Lawson JA, Norberg SM, et al. Prostaglandin D2 inhibits hair growth and is elevated in bald scalp of men with androgenetic alopecia. Sci Transl Med. 2012;4:126ra34. doi: 10.1126/scitranslmed.3003122. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Zhu H, Ma H, Ni H, Ma XH, Mills N, Yang ZM. Expression and regulation of lipocalin-type prostaglandin D synthase in rat testis and epididymis. Biol Reprod. 2004;70:1088–1095. doi: 10.1095/biolreprod.103.022079. [DOI] [PubMed] [Google Scholar]
- 34.Yi SM, Son SW, Lee KG, Kim SH, Lee SK, Cho ER, et al. Gender-specific association of androgenetic alopecia with metabolic syndrome in a middle-aged Korean population. Br J Dermatol. 2012;167:306–313. doi: 10.1111/j.1365-2133.2012.10978.x. [DOI] [PubMed] [Google Scholar]
- 35.Jun M, Keum DI, Lee S, Kim BJ, Lee WS. Quality of life with alopecia areata versus androgenetic alopecia assessed using Hair Specific Skindex-29. Ann Dermatol. 2018;30:388–391. doi: 10.5021/ad.2018.30.3.388. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
The data that support the findings of this study are available from the corresponding author upon reasonable request.

