Results 291 to 300 of about 65,839 (347)

Polygenic risk score and cluster-based analysis suggests links between type 2 diabetes and vascular dementia in the KARE study. [PDF]

Nat Commun
Dong W, Tian Z, Bai J, Wu B, Zhao M, Zhang Y, Shao J, Xie T, Li Q, Wu P, Xue J, Chen Y, Zhou X, Du Y, Gao S, Pan H, Peng A, Pan Y, Zhou K, Jiang H.   +19 more
europepmc   +1 more source

Angiotensin‐converting enzyme and exercise adaptations: Genetic variability, pharmacological modulation and future directions

The Journal of Physiology, EarlyView.
Abstract figure legend ACE I/D genotype, enzyme activity and integrated physiological adaptations. Upper panel: Conceptual framework linking the ACE I/D polymorphism (left) with circulating/tissue ACE activity (centre; violin plots based on hypothetical data for illustration) and strength/power versus endurance phenotypes (right).
Tórur Sjúrðarson, Nikolai B. Nordsborg   +1 more
wiley   +1 more source

Coronary Artery Disease-Based Polygenic Risk Score in Early-Onset Acute Myocardial Infarction Subtypes. [PDF]

JACC Adv
Dong W, Lu Y, Li SX, Sawano M, Caraballo C, Liu Y, Khera A, Philippakis A, Dreyer R, Lichtman J, D'Onofrio G, Spatz ES, Herrington D, Post WS, Rich SS, Rotter JI, Krumholz HM.   +16 more
europepmc   +1 more source

Utilizing high‐throughput phenotyping to identify metribuzin tolerance in winter wheat

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Plant breeders and weed scientists address weed management collaboratively by selecting for herbicide tolerance in breeding programs. Metribuzin, a Group 5 PSII‐inhibiting herbicide, is labeled for use in wheat (Triticum aestivum L.). However, application to currently available lines results in frequent, variable, and unpredictable crop injury.
Melinda Zubrod, Andrew W. Herr, Pia M. Spychalla, Ian C. Burke, Arron H. Carter   +4 more
wiley   +1 more source

Integrating Pathogenic Variants, Polygenic Risk Score, and Family History for Prostate Cancer Risk Estimation in Men of African Ancestry. [PDF]

Eur Urol
Chen F, Sheng X, Wang A, Xu Y, Hughley R, Xiong W, Pooler L, Wan P, Gundell SM, Kigozi G, Nakigozi G, Nalugoda F, Kagaayi J, Kigozi GN, Mugamba S, Kyasanku E, Nkale J, Olwa VO, Lubwama A, Daama A, Nakajugo R, Adusei B, Jalloh M, Gueye SM, Adjei AA, Mensah J, Fernandez PW, Adebiyi AO, Olufemi Ogunbiyi J, Aisuodionoe-Shadrach OI, Petersen L, Chen WC, McBride J, Bensen JT, Mohler JL, Taylor JA, Andrews C, Kigongo M, Colline A, Kiddu V, Namugambe J, Owamaani S, Job K, Masaba BJ, Asiimwe F, Muwanga P, Namulondo J, Nagawa F, Kayiraba C, Ogwang M, Okidi R, Oweka D, Kitara E, Obonyo J, Lajul D, Matovu P, Muheki PA, Natumanya J, Agaba E, Aculokin E, Twongyeirwe A, Mutema G, Bitamazire D, Butler EN, Ingles SA, Rybicki BA, Stanford JL, Zheng W, Berndt SI, Chanock SJ, Huff CD, Lachance J, Multigner L, Darst BF, Rebbeck TR, Brureau L, Watya S, Conti DV, Haiman CA.   +78 more
europepmc   +1 more source

Long‐term impact of stressful life events on breast cancer risk: A 36‐year genetically informed prospective study in the Finnish Twin Cohort

International Journal of Cancer, Volume 158, Issue 6, Page 1489-1497, 15 March 2026.
What's new? Breast cancer results from a combination of genetic and environmental causes, and the cumulative effect of stressful life events may be a contributing factor. Here, the authors analyzed data from cohort and twin‐pair studies including 36 years of follow‐up to find out how stressful life events affect breast cancer risk. They found that even
Elissar Azzi, Hannes Bode, Teemu Palviainen, Mikaela Hukkanen, Miina Ollikainen, Jaakko Kaprio   +5 more
wiley   +1 more source

BRCAGenie: A machine learning-driven 43-gene polygenic risk score model for precision prediction of breast cancer survival. [PDF]

J Transl Med
Lee JW, Lim AJW, Wang C, Neo JH, Lim LJ, Chong SS, Lee CG.   +6 more
europepmc   +1 more source

Genome‐wide association analyses reveal loci controlling 1000‐kernel weight, harvest index, biological yield, and grain yield in bread wheat

Agrosystems, Geosciences &Environment, Volume 9, Issue 1, March 2026.
Abstract Understanding the genetic basis of grain yield and related traits in bread wheat under different water regimes is essential for improving moisture stress tolerance and water‐use efficiency. This study aimed to identify stable loci associated with these traits under rainfed conditions.
Sefawdin Berta, Zerihun Tadesse, Techale Birhan, Abush Tesfaye, Yishak Biniam, Temesgen Matiwos Menamo   +5 more
wiley   +1 more source