Mahajan, Anubha

New loci associated with birth weight identify genetic links between intrauterine growth and adult height and metabolism

The Meta-Analyses of Glucose- and Insulin-related traits Consortium (MAGIC), Horikoshi, M., Early Growth Genetics (EGG) Consortium, Yaghootkar, H., Mook-Kanamori, D. O., Sovio, U., Taal, H. R., Hennig, B. J., Bradfield, J. P., St Pourcain, B., et al. (2013) · Nature Genetics

Birth, Development, and HealthGenetic Associations and Epidemiology

Cited by 309

Exome sequencing of 20,791 cases of type 2 diabetes and 24,440 controls

Platform, B. G., Flannick, J., DiscovEHR Collaboration, CHARGE, LuCamp, ProDiGY, GoT2D, ESP, SIGMA-T2D, T2D-GENES, et al. (2019) · Nature

Genetic Associations and EpidemiologyGenomics and Rare Diseases

Cited by 304

Genetic Risk Scores for Diabetes Diagnosis and Precision Medicine

Udler, M. S., McCarthy, M. I., Florez, J. C., & Mahajan, A. (2019) · Endocrine Reviews

Genetic Associations and EpidemiologyDiabetes and associated disorders

Cited by 302

EGLN1 involvement in high-altitude adaptation revealed through genetic analysis of extreme constitution types defined in Ayurveda

Aggarwal, S., Negi, S., Jha, P., Singh, P. K., Stobdan, T., Pasha, M. A. Q., Ghosh, S., Agrawal, A., Indian Genome Variation Consortium, Prasher, B., et al. (2010) · Proceedings of the National Academy of Sciences

High Altitude and HypoxiaGenetic Associations and Epidemiology

Cited by 175

Genome-wide association analyses highlight etiological differences underlying newly defined subtypes of diabetes

Mansour Aly, D., Dwivedi, O. P., Prasad, R. B., Käräjämäki, A., Hjort, R., Thangam, M., Åkerlund, M., Mahajan, A., Udler, M. S., Florez, J. C., et al. (2021) · Nature Genetics

Genetic Associations and EpidemiologyDiabetes and associated disorders

Cited by 172

Regulatory variants at KLF14 influence type 2 diabetes risk via a female-specific effect on adipocyte size and body composition

Small, K. S., Todorčević, M., Civelek, M., El-Sayed Moustafa, J. S., Wang, X., Simon, M. M., Fernandez-Tajes, J., Mahajan, A., Horikoshi, M., Hugill, A., et al. (2018) · Nature Genetics

Adipokines, Inflammation, and Metabolic DiseasesGenetic Associations and Epidemiology

Cited by 168

Genetic variant effects on gene expression in human pancreatic islets and their implications for T2D

Viñuela, A., Varshney, A., van de Bunt, M., Prasad, R. B., Asplund, O., Bennett, A., Boehnke, M., Brown, A. A., Erdos, M. R., Fadista, J., et al. (2020) · Nature Communications

Genetic Associations and EpidemiologyPancreatic function and diabetes

Cited by 152

Identification and validation of N-acetyltransferase 2 as an insulin sensitivity gene

Knowles, J. W., Xie, W., Zhang, Z., Chennemsetty, I., Assimes, T. L., Paananen, J., Hansson, O., Pankow, J., Goodarzi, M. O., Carcamo-Orive, I., et al. (2015) · Journal of Clinical Investigation

Genetic Associations and EpidemiologyDiabetes, Cardiovascular Risks, and Lipoproteins

Cited by 141

A Genome-Wide Association Study of IVGTT-Based Measures of First-Phase Insulin Secretion Refines the Underlying Physiology of Type 2 Diabetes Variants

Wood, A. R., Jonsson, A., Jackson, A. U., Wang, N., van Leewen, N., Palmer, N. D., Kobes, S., Deelen, J., Boquete-Vilarino, L., Paananen, J., et al. (2017) · Diabetes

Genetic Associations and EpidemiologyPancreatic function and diabetes

Cited by 117

Discovery of drug-omics associations in type 2 diabetes with generative deep-learning models

Allesøe, R. L., Lundgaard, A. T., Hernández Medina, R., Aguayo-Orozco, A., Johansen, J., Nissen, J. N., Brorsson, C., Mazzoni, G., Niu, L., Biel, J. H., et al. (2023) · Nature Biotechnology

Bioinformatics and Genomic NetworksComputational Drug Discovery Methods

Cited by 111

Predicting and elucidating the etiology of fatty liver disease: a machine learning modeling and validation study in the IMI DIRECT cohorts

Atabaki-Pasdar, N., Ohlsson, M., Viñuela, A., Frau, F., Pomares-Millan, H., Haid, M., Jones, A. G., Thomas, E. L., Koivula, R. W., Kurbasic, A., et al. (2020) · PLOS Medicine

Liver Disease Diagnosis and TreatmentAlcohol Consumption and Health Effects

Cited by 97

Variation in the SERPINA6/SERPINA1 locus alters morning plasma cortisol, hepatic corticosteroid binding globulin expression, gene expression in peripheral tissues, and risk of cardiovascular disease

Crawford, A. A., Bankier, S., Altmaier, E., Barnes, C. L. K., Clark, D. W., Ermel, R., Friedrich, N., van der Harst, P., Joshi, P. K., Karhunen, V., et al. (2021) · Journal of Human Genetics

Genetic Associations and EpidemiologyStress Responses and Cortisol

Cited by 74

Genetic variants predisposing to an increased risk of kidney stone disease

Lovegrove, C. E., Goldsworthy, M., Haley, J., Smelser, D., Gorvin, C., Hannan, F. M., Mahajan, A., Suri, M., Sadeghi-Alavijeh, O., Moochhala, S. H., et al. (2025) · Journal of Clinical Investigation

Kidney Stones and Urolithiasis TreatmentsGenetic Associations and Epidemiology

Cited by 18

Genetic variants predisposing to increased risk of kidney stone disease

Lovegrove, C. E., Goldsworthy, M., Haley, J., Diane, S., Gorvin, C., Hannan, F. M., Mahajan, A., Mohnish, S., Sadeghi-Alavijeh, O., Moochhala, S., et al. (2024) · Journal of Clinical Investigation

Kidney Stones and Urolithiasis TreatmentsGenetic Associations and Epidemiology

Cited by 18

Alzheimer’s disease genetics converges on microglial and neuronal dysregulation

Uffelmann, E., Wightman, D. P., Bahrami, S., Shadrin, A. A., Fominykh, V., Ojima, T., Jiang, C., Benner, C., Moreno, E., Campos, A. I., et al. (2026) · Nature

Alzheimer's disease research and treatmentsNeuroinflammation and Neurodegeneration Mechanisms

Cited by 0