These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

163 related articles for article (PubMed ID: 38562131)

  • 1. MODY Probability Calculator Is Suitable for MODY Screening in China: A Population-based Study.
    Zhao J; Chen Y; Ma F; Shu H; Zheng L; Liu Y; Li X; Xu T; Zhou Z; Zhou K
    J Endocr Soc; 2024 Mar; 8(5):bvae047. PubMed ID: 38562131
    [TBL] [Abstract][Full Text] [Related]  

  • 2. MODY probability calculator utility in individuals' selection for genetic testing: Its accuracy and performance.
    da Silva Santos T; Fonseca L; Santos Monteiro S; Borges Duarte D; Martins Lopes A; Couto de Carvalho A; Oliveira MJ; Borges T; Laranjeira F; Couce ML; Cardoso MH
    Endocrinol Diabetes Metab; 2022 Sep; 5(5):e00332. PubMed ID: 35822264
    [TBL] [Abstract][Full Text] [Related]  

  • 3. The utility of MODY Probability Calculator in probands of families with early-onset autosomal dominant diabetes from Poland.
    Hohendorff J; Zapala B; Ludwig-Slomczynska AH; Solecka I; Ucieklak D; Matejko B; Mrozinska S; Malecki MT; Szopa M
    Minerva Med; 2019 Dec; 110(6):499-506. PubMed ID: 31638358
    [TBL] [Abstract][Full Text] [Related]  

  • 4. A preliminary study to evaluate the strategy of combining clinical criteria and next generation sequencing (NGS) for the identification of monogenic diabetes among multi-ethnic Asians.
    Ang SF; Lim SC; Tan CSh; Fong JC; Kon WY; Lian JX; Subramanium T; Sum CF
    Diabetes Res Clin Pract; 2016 Sep; 119():13-22. PubMed ID: 27420379
    [TBL] [Abstract][Full Text] [Related]  

  • 5. MODY Probability Ratios in Patients Diagnosed with Type 2 Diabetes Mellitus at a Young Age.
    Keskinler MV; Erbakan AN; Oguz A
    Medeni Med J; 2020; 35(4):290-294. PubMed ID: 33717620
    [TBL] [Abstract][Full Text] [Related]  

  • 6. The performance of the MODY calculator in a non-Caucasian, mixed-race population diagnosed with diabetes mellitus before 35 years of age.
    Santomauro AC; Magalhães ÁLF; Motta FT; de Santana LS; Franco PC; de Freitas SM; Sanchez JJD; Costa-Riquetto AD; Teles MG
    Diabetol Metab Syndr; 2023 Feb; 15(1):15. PubMed ID: 36747290
    [TBL] [Abstract][Full Text] [Related]  

  • 7. The Maturity-Onset Diabetes of the Young (MODY) Calculator Overestimates MODY Probability in Hispanic Youth.
    Alarcon G; Nguyen A; Jones A; Shields B; Redondo MJ; Tosur M
    J Clin Endocrinol Metab; 2024 Nov; ():. PubMed ID: 39492690
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Development of a clinical calculator to aid the identification of MODY in pediatric patients at the time of diabetes diagnosis.
    Shields BM; Carlsson A; Patel K; Knupp J; Kaur A; Johnston D; Colclough K; Larsson HE; Forsander G; Samuelsson U; Hattersley A; Ludvigsson J
    Sci Rep; 2024 May; 14(1):10589. PubMed ID: 38719926
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Identification of monogenic diabetes in an Australian cohort using the Exeter maturity-onset diabetes of the young (MODY) probability calculator and next-generation sequencing gene panel testing.
    De Sousa SMC; Wu KHC; Colclough K; Rawlings L; Dubowsky A; Monnik M; Poplawski N; Scott HS; Horowitz M; Torpy DJ
    Acta Diabetol; 2024 Feb; 61(2):181-188. PubMed ID: 37812285
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Hemoglobin A
    Yılmaz Uzman C; Erbaş İM; Giray Bozkaya Ö; Paketçi A; Çağlayan AO; Abacı A; Kulalı MA; Böber E; Kekilli A; Çinleti T; Erçal MD; Demir K
    J Pediatr Endocrinol Metab; 2022 Dec; 35(12):1528-1536. PubMed ID: 36197956
    [TBL] [Abstract][Full Text] [Related]  

  • 11. New clinical screening strategy to distinguish
    Ma Y; Gong S; Wang X; Cai X; Xiao X; Gu W; Yang J; Zhong L; Xiao J; Li M; Liu W; Zhang S; Zhou X; Li Y; Zhou L; Zhu Y; Luo Y; Ren Q; Huang X; Gao X; Zhang X; Zhang R; Chen L; Wang F; Wang Q; Hu M; Han X; Ji L
    BMJ Open Diabetes Res Care; 2020 Mar; 8(1):. PubMed ID: 32238361
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Low genetic confirmation rate in South Indian subjects with a clinical diagnosis of maturity-onset diabetes of the young (MODY) who underwent targeted next-generation sequencing for 13 genes.
    Sampathkumar G; Valiyaparambil PP; Kumar H; Bhavani N; Nair V; Menon U; Menon A; Abraham N; Chapla A; Thomas N
    J Endocrinol Invest; 2022 Mar; 45(3):607-615. PubMed ID: 34741762
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A Clinical Prediction Model to Distinguish Maturity-Onset Diabetes of the Young From Type 1 and Type 2 Diabetes in the Chinese Population.
    Fu J; Ping F; Wang T; Liu Y; Wang X; Yu J; Deng M; Liu J; Zhang Q; Yu M; Li M; Li Y; Xiao X
    Endocr Pract; 2021 Aug; 27(8):776-782. PubMed ID: 33991656
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Next generation sequencing targeted gene panel in Greek MODY patients increases diagnostic accuracy.
    Tatsi EB; Kanaka-Gantenbein C; Scorilas A; Chrousos GP; Sertedaki A
    Pediatr Diabetes; 2020 Feb; 21(1):28-39. PubMed ID: 31604004
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Traditional clinical criteria outperform high-sensitivity C-reactive protein for the screening of hepatic nuclear factor 1 alpha maturity-onset diabetes of the young among young Asians with diabetes.
    Rama Chandran S; Bhalshankar J; Farhad Vasanwala R; Zhao Y; Owen KR; Su-Lyn Gardner D
    Ther Adv Endocrinol Metab; 2018 Sep; 9(9):271-282. PubMed ID: 30181854
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Study of ten causal genes in Turkish patients with clinically suspected maturity-onset diabetes of the young (MODY) using a targeted next-generation sequencing panel.
    Doğan M; Eröz R; Bolu S; Yüce H; Gezdirici A; Arslanoğlu İ; Teralı K
    Mol Biol Rep; 2022 Aug; 49(8):7483-7495. PubMed ID: 35733065
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Identifying Pathogenic Variants of Monogenic Diabetes Using Targeted Panel Sequencing in an East Asian Population.
    Park SS; Jang SS; Ahn CH; Kim JH; Jung HS; Cho YM; Lee YA; Shin CH; Chae JH; Kim JH; Choi SH; Jang HC; Bae JC; Won JC; Kim SH; Kim JI; Kwak SH; Park KS
    J Clin Endocrinol Metab; 2019 Sep; 104(9):4188-4198. PubMed ID: 30977832
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Identification of candidate gene variants of monogenic diabetes using targeted panel sequencing in early onset diabetes patients.
    Lee DH; Kwak SH; Park HS; Ku EJ; Jeon HJ; Oh TK
    BMJ Open Diabetes Res Care; 2021 Jun; 9(1):. PubMed ID: 34135026
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Comprehensive genetic screening: The prevalence of maturity-onset diabetes of the young gene variants in a population-based childhood diabetes cohort.
    Johnson SR; Ellis JJ; Leo PJ; Anderson LK; Ganti U; Harris JE; Curran JA; McInerney-Leo AM; Paramalingam N; Song X; Conwell LS; Harris M; Jones TW; Brown MA; Davis EA; Duncan EL
    Pediatr Diabetes; 2019 Feb; 20(1):57-64. PubMed ID: 30191644
    [TBL] [Abstract][Full Text] [Related]  

  • 20. How do I diagnose Maturity Onset Diabetes of the Young in my patients?
    Colclough K; Patel K
    Clin Endocrinol (Oxf); 2022 Oct; 97(4):436-447. PubMed ID: 35445424
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.