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Your search keyword '"Masjoudi, Sajedeh"' showing total 15 results
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15 results on '"Masjoudi, Sajedeh"'

1. The effect of family structure on the still-missing heritability and genomic prediction accuracy of type 2 diabetes

Author

Amiri Roudbar, Mahmoud, Vahedi, Seyed Milad, Jin, Jin, Jahangiri, Mina, Lanjanian, Hossein, Habibi, Danial, Masjoudi, Sajedeh, Riahi, Parisa, Fateh, Sahand Tehrani, Neshati, Farideh, Zahedi, Asiyeh Sadat, Moazzam-Jazi, Maryam, Najd-Hassan-Bonab, Leila, Mousavi, Seyedeh Fatemeh, Asgarian, Sara, Zarkesh, Maryam, Moghaddas, Mohammad Reza, Tenesa, Albert, Kazemnejad, Anoshirvan, Vahidnezhad, Hassan, Hakonarson, Hakon, Azizi, Fereidoun, Hedayati, Mehdi, Daneshpour, Maryam Sadat, and Akbarzadeh, Mahdi

Published
2024
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2. Examining the clinical and genetic spectrum of maturity-onset diabetes of the young (MODY) in Iran

Author

Asgarian, Sara, Lanjanian, Hossein, Rahimipour Anaraki, Shiva, Hadaegh, Farzad, Moazzam-Jazi, Maryam, Najd-Hassan-Bonab, Leila, Masjoudi, Sajedeh, Zahedi, Asiyeh Sadat, Zarkesh, Maryam, Shalbafan, Bita, Akbarzadeh, Mahdi, Tehrani Fateh, Sahand, Khalili, Davood, Momenan, Amirabbas, Sarbazi, Narges, Hedayati, Mehdi, Azizi, Fereidoun, and Daneshpour, Maryam S.

Published
2024
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3. The Tehran longitudinal family-based cardiometabolic cohort study sheds new light on dyslipidemia transmission patterns

Author

Akbarzadeh, Mahdi, Riahi, Parisa, Saeidian, Amir Hossein, Zarkesh, Maryam, Masjoudi, Sajedeh, Asgarian, Sara, Guity, Kamran, Moheimani, Hamed, Masoudi, Homayoon, Roudbar, Mahmoud Amiri, Khalili, Davood, Hosseinpanah, Farhad, Barzin, Maryam, Hogan, Carolyn T., Hakonarson, Hakon, Hedayati, Mehdi, Daneshpour, Maryam S., and Azizi, Fereidoun

Published
2024
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4. Cohort profile update: Tehran cardiometabolic genetic study

Author

Daneshpour, Maryam S., Akbarzadeh, Mahdi, Lanjanian, Hossein, Sedaghati-khayat, Bahar, Guity, Kamran, Masjoudi, Sajedeh, Zahedi, Asiyeh Sadat, Moazzam-Jazi, Maryam, Bonab, Leila Najd Hassan, Shalbafan, Bita, Asgarian, Sara, Farhood, Goodarz Koli, Javanrooh, Niloofar, Zarkesh, Maryam, Riahi, Parisa, Moghaddas, Mohammad Reza, Dehkordi, Parvaneh Arbab, Ahmadi, Azar Delbarpour, Hosseini, Firoozeh, Farahani, Sara Jalali, Hadaegh, Farzad, Mirmiran, Parvin, Tehrani, Fahimeh Ramezani, Ghanbarian, Arash, Pasand, Mohammad Sadegh Fallah Mahboob, Amiri, Parisa, Valizadeh, Majid, Hosseipanah, Farhad, Tohidi, Maryam, Ghasemi, Asghar, Zadeh-Vakili, Azita, Piryaei, Mohammad, Alamdari, Shahram, Khalili, Davood, Momenan, Amirabbas, Barzin, Maryam, Zeinali, Sirous, Hedayati, Mehdi, and Azizi, Fereidoun

Published
2023
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9. Causality of Genetically Determined Monounsaturated Fatty Acids on Risk of Cardiovascular Disease: A Mendelian Randomization Study

Author

Mansourian, Marjan, primary, Habibi, Danial, additional, Akbarzadeh, Mahdi, additional, Teymoori, Farshad, additional, Fateh, Sahand Tehrani, additional, Masjoudi, Sajedeh, additional, Saeidian, Amir Hossein, additional, Hosseinpanah, Farhad, additional, Mosavi, Noushin, additional, Hakonarson, Hakon, additional, Azizi, Fereidoun, additional, T., Alireza Soleymani, additional, Hedayati, Mehdi, additional, and Daneshpour, Maryam, additional

Published
2023
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10. Causality of Genetically Determined Monounsaturated Fatty Acids on Risk of Cardiovascular Disease: A Mendelian Randomization Study

Author

Habibi, Danial, primary, Akbarzadeh, Mahdi, additional, Teymoori, Farshad, additional, Fateh, Sahand Tehrani, additional, Masjoudi, Sajedeh, additional, Saeidian, Amir Hossein, additional, Hosseinpanah, Farhad, additional, Mosavi, Noushin, additional, Hakonarson, Hakon, additional, Azizi, Fereidoun, additional, Alireza, Soleymani T, additional, Hedayati, Mehdi, additional, Daneshpour, Maryam Sadat, additional, and Mansourian, Marjan, additional

Published
2023
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12. Title: Cohort profile update: Tehran Cardiometabolic Genetic Study, a path toward precision medicine

Author

Daneshpour, Maryam S, primary, Akbarzadeh, Mahdi, additional, Lanjanian, Hossein, additional, Sedaghati-khayat, Bahar, additional, Guity, Kamran, additional, Masjoudi, Sajedeh, additional, Zahedi, Asieh Sadat, additional, Moazzam-Jazi, Maryam, additional, Bonab, Leila Najd Hassan, additional, Shalbafan, Bita, additional, Asgarian, Sara, additional, Farhood, Goodarz Koli, additional, Javanrooh, Niloofar, additional, Zarkesh, Maryam, additional, Riahi, Parisa, additional, Moghaddas, Mohammad Reza, additional, Dehkordi, Parvaneh Arbab, additional, Ahmadi, Azar Delbarpour, additional, Hosseini, Firoozeh, additional, Farahani, Sara Jalali, additional, Hadaegh, Farzad, additional, Mirmiarn, Parvin, additional, Tehrani, Fahimeh Ramezani, additional, Ghanbarian, Arash, additional, Pasand, Mohammad Sadegh Fallah Mahboob, additional, Amiri, Parisa, additional, Valizadeh, Majid, additional, Hosseipanah, Farhad, additional, Tohidi, Maryam, additional, Ghasemi, Asghar, additional, Vakili, Azita Zadeh, additional, Alamdari, Shahram, additional, Khalili, Davood, additional, Momenan, Amirabbas, additional, Barzin, Maryam, additional, Zeinali, Sirous, additional, Hedayati, Mehdi, additional, and Azizi, Fereidoun, additional

Published
2022
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13. Additional file 1 of Sex, age, and ethnic dependency of lipoprotein variants as the risk factors of ischemic heart disease: a detailed study on the different age-classes and genders in Tehran Cardiometabolic Genetic Study (TCGS)

Author

Lanjanian, Hossein, Najd Hassan Bonab, Leila, Akbarzadeh, Mahdi, Moazzam-Jazi, Maryam, Zahedi, Asiyeh Sadat, Masjoudi, Sajedeh, and Daneshpour, Maryam S.

Abstract

Additional file 1: Table S1. The results of r2 calculation of Linkagedisequilibrium (LD) for all investigated SNPs in this study.

Published
2022
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15. Sex-specific association of FABP2 polymorphisms with the risk of obesity in the Tehran Cardio-Metabolic Genetic Study (TCGS).

Author

Najd-Hassan-Bonab, Leila, Givi, Niloufar Javanrouh, Moazzam-Jazi, Maryam, Masjoudi, Sajedeh, Ghafari, Nasim, and Daneshpour, Maryam S

Subjects
*BODY mass index, *OBESITY in women, *OBESITY, *GENETIC models, *HAPLOTYPES, *SINGLE nucleotide polymorphisms
Abstract

• The FABP2 rs10857064 was significantly associated with increased obesity risk only in the women under the additive model. • The presence of the rs10857064-G allele were not significantly associated with obesity in other with genetic models (recessive, dominant, over-dominant, and genotypic) in Iranian population. • The TG haplotype containing rs7670862 and rs10857064 could significantly enhance the risk of obesity in only women, not in men. FABP2 is one of the key genes involved in obesity development across different populations. However, there is no comprehensive report about the FABP2 contribution to obesity incidence among Iranians. Hence, the present study was designed to assess the probable role of FABP2 polymorphisms in obesity incidence in the Tehran Cardio- metabolic Genetic Study (TCGS) representative Iran population. Unrelated adults who had BMI information for at least 3 consecutive phases of the TCGS cohort were included. The control and case groups were defined as individuals who always had long-term persistent normal weight (20 < BMI < 25; n = 1526) and individuals who were long-term persistent obese (30 < BMI < 35; n = 1313), respectively. The logistic regression test was used to assess the possible association between SNPs located in and around the FABP2 gene with obesity. Also, we used Haploview and SHEsis to perform haplotype analysis to detect whether or not this chromosomal region is correlated with obesity. We found a gender-dependent association between the rs10857064 FABP2 and the risk of obesity. The presence of the rs10857064-G allele could significantly increase the risk of obesity only in women, not men (OR = 1.26; 95 % CI: 1.02–1.57; p = 0.03). Through haplotype analysis, we also detected that the TG haplotype containing rs7670862 and rs10857064 could significantly enhance the risk of obesity in women, further supporting the central role of rs10857064 in women's long-term obesity risk. In the current study, we revealed that rs10857064-G FABP2 can significantly predispose women to develop obesity. It highlights the importance of different genetic variants in both genders, which could help us to distinguish more efficient obesity screening tests and treatments based on gender in the future. [ABSTRACT FROM AUTHOR]

Published
2023
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