Advanced Search
Display options
Filter resources
Text Availability
Article type
Publication date
Species
Language
Sex
Age
Showing 1 to 12 of 25 entries
Sorted by: Best Match Show Resources per page
Genes for Good: Engaging the Public in Genetics Research via Social Media.

American journal of human genetics

Brieger K, Zajac GJM, Pandit A, Foerster JR, Li KW, Annis AC, Schmidt EM, Clark CP, McMorrow K, Zhou W, Yang J, Kwong AM, Boughton AP, Wu J, Scheller C, Parikh T, de la Vega A, Brazel DM, Frieser M, Rea-Sandin G, Fritsche LG, Vrieze SI, Abecasis GR.
PMID: 31374205
Am J Hum Genet. 2019 Aug 01;105(2):441-442. doi: 10.1016/j.ajhg.2019.07.009.

No abstract available.

Cite
Brieger K, Zajac GJM, Pandit A, et al. Genes for Good: Engaging the Public in Genetics Research via Social Media. Am J Hum Genet. 2019;105(2):441-442doi: 10.1016/j.ajhg.2019.07.009.
Brieger, K., Zajac, G. J. M., Pandit, A., Foerster, J. R., Li, K. W., Annis, A. C., Schmidt, E. M., Clark, C. P., McMorrow, K., Zhou, W., Yang, J., Kwong, A. M., Boughton, A. P., Wu, J., Scheller, C., Parikh, T., de la Vega, A., Brazel, D. M., Frieser, M., Rea-Sandin, G., Fritsche, L. G., Vrieze, S. I., & Abecasis, G. R. (2019). Genes for Good: Engaging the Public in Genetics Research via Social Media. American journal of human genetics, 105(2), 441-442. https://doi.org/10.1016/j.ajhg.2019.07.009
Brieger, Katharine, et al. "Genes for Good: Engaging the Public in Genetics Research via Social Media." American journal of human genetics vol. 105,2 (2019): 441-442. doi: https://doi.org/10.1016/j.ajhg.2019.07.009
Brieger K, Zajac GJM, Pandit A, Foerster JR, Li KW, Annis AC, Schmidt EM, Clark CP, McMorrow K, Zhou W, Yang J, Kwong AM, Boughton AP, Wu J, Scheller C, Parikh T, de la Vega A, Brazel DM, Frieser M, Rea-Sandin G, Fritsche LG, Vrieze SI, Abecasis GR. Genes for Good: Engaging the Public in Genetics Research via Social Media. Am J Hum Genet. 2019 Aug 01;105(2):441-442. doi: 10.1016/j.ajhg.2019.07.009. PMID: 31374205; PMCID: PMC6698930.
Copy Download .nbib Format: NLM
Trimester-Specific Associations of Prenatal Lead Exposure With Infant Cord Blood DNA Methylation at Birth.

Epigenetics insights

Rygiel CA, Dolinoy DC, Perng W, Jones TR, Solano M, Hu H, Téllez-Rojo MM, Peterson KE, Goodrich JM.
PMID: 32734142
Epigenet Insights. 2020 Jul 20;13:2516865720938669. doi: 10.1177/2516865720938669. eCollection 2020.

Gestational exposure to lead (Pb) adversely impacts offspring health through multiple mechanisms, one of which is the alteration of the epigenome including DNA methylation. This study aims to identify differentially methylated CpG sites associated with trimester-specific maternal Pb exposure...

Cite
Rygiel CA, Dolinoy DC, Perng W, et al. Trimester-Specific Associations of Prenatal Lead Exposure With Infant Cord Blood DNA Methylation at Birth. Epigenet Insights. 2020;13:2516865720938669doi: 10.1177/2516865720938669.
Rygiel, C. A., Dolinoy, D. C., Perng, W., Jones, T. R., Solano, M., Hu, H., Téllez-Rojo, M. M., Peterson, K. E., & Goodrich, J. M. (2020). Trimester-Specific Associations of Prenatal Lead Exposure With Infant Cord Blood DNA Methylation at Birth. Epigenetics insights, 132516865720938669. https://doi.org/10.1177/2516865720938669
Rygiel, Christine A, et al. "Trimester-Specific Associations of Prenatal Lead Exposure With Infant Cord Blood DNA Methylation at Birth." Epigenetics insights vol. 13 (2020): 2516865720938669. doi: https://doi.org/10.1177/2516865720938669
Rygiel CA, Dolinoy DC, Perng W, Jones TR, Solano M, Hu H, Téllez-Rojo MM, Peterson KE, Goodrich JM. Trimester-Specific Associations of Prenatal Lead Exposure With Infant Cord Blood DNA Methylation at Birth. Epigenet Insights. 2020 Jul 20;13:2516865720938669. doi: 10.1177/2516865720938669. eCollection 2020. PMID: 32734142; PMCID: PMC7372614.
Copy Download .nbib Format: NLM
DNA methylation at birth potentially mediates the association between prenatal lead (Pb) exposure and infant neurodevelopmental outcomes.

Environmental epigenetics

Rygiel CA, Dolinoy DC, Bakulski KM, Aung MT, Perng W, Jones TR, Solano-González M, Hu H, Tellez-Rojo MM, Schnaas L, Marcela E, Peterson KE, Goodrich JM.
PMID: 34141453
Environ Epigenet. 2021 Jun 16;7(1):dvab005. doi: 10.1093/eep/dvab005. eCollection 2021.

Early-life lead (Pb) exposure has been linked to adverse neurodevelopmental outcomes. Recent evidence has indicated a critical role of DNA methylation (DNAm) in cognition, and Pb exposure has also been shown to alter DNAm. However, it is unknown whether...

Cite
Rygiel CA, Dolinoy DC, Bakulski KM, et al. DNA methylation at birth potentially mediates the association between prenatal lead (Pb) exposure and infant neurodevelopmental outcomes. Environ Epigenet. 2021;7(1):dvab005doi: 10.1093/eep/dvab005.
Rygiel, C. A., Dolinoy, D. C., Bakulski, K. M., Aung, M. T., Perng, W., Jones, T. R., Solano-González, M., Hu, H., Tellez-Rojo, M. M., Schnaas, L., Marcela, E., Peterson, K. E., & Goodrich, J. M. (2021). DNA methylation at birth potentially mediates the association between prenatal lead (Pb) exposure and infant neurodevelopmental outcomes. Environmental epigenetics, 7(1), dvab005. https://doi.org/10.1093/eep/dvab005
Rygiel, Christine A, et al. "DNA methylation at birth potentially mediates the association between prenatal lead (Pb) exposure and infant neurodevelopmental outcomes." Environmental epigenetics vol. 7,1 (2021): dvab005. doi: https://doi.org/10.1093/eep/dvab005
Rygiel CA, Dolinoy DC, Bakulski KM, Aung MT, Perng W, Jones TR, Solano-González M, Hu H, Tellez-Rojo MM, Schnaas L, Marcela E, Peterson KE, Goodrich JM. DNA methylation at birth potentially mediates the association between prenatal lead (Pb) exposure and infant neurodevelopmental outcomes. Environ Epigenet. 2021 Jun 16;7(1):dvab005. doi: 10.1093/eep/dvab005. eCollection 2021. PMID: 34141453; PMCID: PMC8206046.
Copy Download .nbib Format: NLM
Next generation sequencing panel based on single molecule molecular inversion probes for detecting genetic variants in children with hypopituitarism.

Molecular genetics & genomic medicine

Pérez Millán MI, Vishnopolska SA, Daly AZ, Bustamante JP, Seilicovich A, Bergadá I, Braslavsky D, Keselman AC, Lemons RM, Mortensen AH, Marti MA, Camper SA, Kitzman JO.
PMID: 29739035
Mol Genet Genomic Med. 2018 May 08; doi: 10.1002/mgg3.395. Epub 2018 May 08.

BACKGROUND: Congenital Hypopituitarism is caused by genetic and environmental factors. Over 30 genes have been implicated in isolated and/or combined pituitary hormone deficiency. The etiology remains unknown for up to 80% of the patients, but most cases have been...

Cite
Pérez Millán MI, Vishnopolska SA, Daly AZ, et al. Next generation sequencing panel based on single molecule molecular inversion probes for detecting genetic variants in children with hypopituitarism. Mol Genet Genomic Med. 2018;doi: 10.1002/mgg3.395.
Pérez Millán, M. I., Vishnopolska, S. A., Daly, A. Z., Bustamante, J. P., Seilicovich, A., Bergadá, I., Braslavsky, D., Keselman, A. C., Lemons, R. M., Mortensen, A. H., Marti, M. A., Camper, S. A., & Kitzman, J. O. (2018). Next generation sequencing panel based on single molecule molecular inversion probes for detecting genetic variants in children with hypopituitarism. Molecular genetics & genomic medicine, . https://doi.org/10.1002/mgg3.395
Pérez Millán, María I, et al. "Next generation sequencing panel based on single molecule molecular inversion probes for detecting genetic variants in children with hypopituitarism." Molecular genetics & genomic medicine vol. (2018). doi: https://doi.org/10.1002/mgg3.395
Pérez Millán MI, Vishnopolska SA, Daly AZ, Bustamante JP, Seilicovich A, Bergadá I, Braslavsky D, Keselman AC, Lemons RM, Mortensen AH, Marti MA, Camper SA, Kitzman JO. Next generation sequencing panel based on single molecule molecular inversion probes for detecting genetic variants in children with hypopituitarism. Mol Genet Genomic Med. 2018 May 08; doi: 10.1002/mgg3.395. Epub 2018 May 08. PMID: 29739035; PMCID: PMC6081231.
Copy Download .nbib Format: NLM
Mobile genetic elements and genome evolution 2014.

Mobile DNA

Singh PK, Bourque G, Craig NL, Dubnau JT, Feschotte C, Flasch DA, Gunderson KL, Malik HS, Moran JV, Peters JE, Slotkin RK, Levin HL.
PMID: 30117500
Mob DNA. 2014 Nov 18;5:26. doi: 10.1186/1759-8753-5-26. eCollection 2014.

The Mobile Genetic Elements and Genome Evolution conference was hosted by Keystone Symposia in Santa Fe, NM USA, 9 March through 14 March 2014. The goal of this conference was to bring together scientists from around the world who...

Cite
Singh PK, Bourque G, Craig NL, et al. Mobile genetic elements and genome evolution 2014. Mob DNA. 2014;5:26doi: 10.1186/1759-8753-5-26.
Singh, P. K., Bourque, G., Craig, N. L., Dubnau, J. T., Feschotte, C., Flasch, D. A., Gunderson, K. L., Malik, H. S., Moran, J. V., Peters, J. E., Slotkin, R. K., & Levin, H. L. (2014). Mobile genetic elements and genome evolution 2014. Mobile DNA, 526. https://doi.org/10.1186/1759-8753-5-26
Singh, Parmit Kumar, et al. "Mobile genetic elements and genome evolution 2014." Mobile DNA vol. 5 (2014): 26. doi: https://doi.org/10.1186/1759-8753-5-26
Singh PK, Bourque G, Craig NL, Dubnau JT, Feschotte C, Flasch DA, Gunderson KL, Malik HS, Moran JV, Peters JE, Slotkin RK, Levin HL. Mobile genetic elements and genome evolution 2014. Mob DNA. 2014 Nov 18;5:26. doi: 10.1186/1759-8753-5-26. eCollection 2014. PMID: 30117500; PMCID: PMC4363357.
Copy Download .nbib Format: NLM
Omics-squared: human genomic, transcriptomic and phenotypic data for genetic analysis workshop 19.

BMC proceedings

Blangero J, Teslovich TM, Sim X, Almeida MA, Jun G, Dyer TD, Johnson M, Peralta JM, Manning A, Wood AR, Fuchsberger C, Kent JW, Aguilar DA, Below JE, Farook VS, Arya R, Fowler S, Blackwell TW, Puppala S, Kumar S, Glahn DC, Moses EK, Curran JE, Thameem F, Jenkinson CP, DeFronzo RA, Lehman DM, Hanis C, Abecasis G, Boehnke M, Göring H, Duggirala R, Almasy L.
PMID: 27980614
BMC Proc. 2016 Oct 18;10:71-77. doi: 10.1186/s12919-016-0008-y. eCollection 2016.

BACKGROUND: The Genetic Analysis Workshops (GAW) are a forum for development, testing, and comparison of statistical genetic methods and software. Each contribution to the workshop includes an application to a specified data set. Here we describe the data distributed...

Cite
Blangero J, Teslovich TM, Sim X, et al. Omics-squared: human genomic, transcriptomic and phenotypic data for genetic analysis workshop 19. BMC Proc. 2016;10:71-77doi: 10.1186/s12919-016-0008-y.
Blangero, J., Teslovich, T. M., Sim, X., Almeida, M. A., Jun, G., Dyer, T. D., Johnson, M., Peralta, J. M., Manning, A., Wood, A. R., Fuchsberger, C., Kent, J. W., Aguilar, D. A., Below, J. E., Farook, V. S., Arya, R., Fowler, S., Blackwell, T. W., Puppala, S., Kumar, S., Glahn, D. C., Moses, E. K., Curran, J. E., Thameem, F., Jenkinson, C. P., DeFronzo, R. A., Lehman, D. M., Hanis, C., Abecasis, G., Boehnke, M., Göring, H., Duggirala, R., Almasy, L. (2016). Omics-squared: human genomic, transcriptomic and phenotypic data for genetic analysis workshop 19. BMC proceedings, 1071-77. https://doi.org/10.1186/s12919-016-0008-y
Blangero, John, et al. "Omics-squared: human genomic, transcriptomic and phenotypic data for genetic analysis workshop 19." BMC proceedings vol. 10 (2016): 71-77. doi: https://doi.org/10.1186/s12919-016-0008-y
Blangero J, Teslovich TM, Sim X, Almeida MA, Jun G, Dyer TD, Johnson M, Peralta JM, Manning A, Wood AR, Fuchsberger C, Kent JW, Aguilar DA, Below JE, Farook VS, Arya R, Fowler S, Blackwell TW, Puppala S, Kumar S, Glahn DC, Moses EK, Curran JE, Thameem F, Jenkinson CP, DeFronzo RA, Lehman DM, Hanis C, Abecasis G, Boehnke M, Göring H, Duggirala R, Almasy L. Omics-squared: human genomic, transcriptomic and phenotypic data for genetic analysis workshop 19. BMC Proc. 2016 Oct 18;10:71-77. doi: 10.1186/s12919-016-0008-y. eCollection 2016. PMID: 27980614; PMCID: PMC5133484.
Copy Download .nbib Format: NLM
LocusZoom: regional visualization of genome-wide association scan results.

Bioinformatics (Oxford, England)

Pruim RJ, Welch RP, Sanna S, Teslovich TM, Chines PS, Gliedt TP, Boehnke M, Abecasis GR, Willer CJ.
PMID: 20634204
Bioinformatics. 2010 Sep 15;26(18):2336-7. doi: 10.1093/bioinformatics/btq419. Epub 2010 Jul 15.

UNLABELLED: Genome-wide association studies (GWAS) have revealed hundreds of loci associated with common human genetic diseases and traits. We have developed a web-based plotting tool that provides fast visual display of GWAS results in a publication-ready format. LocusZoom visually...

Cite
Pruim RJ, Welch RP, Sanna S, et al. LocusZoom: regional visualization of genome-wide association scan results. Bioinformatics. 2010;26(18):2336-7doi: 10.1093/bioinformatics/btq419.
Pruim, R. J., Welch, R. P., Sanna, S., Teslovich, T. M., Chines, P. S., Gliedt, T. P., Boehnke, M., Abecasis, G. R., & Willer, C. J. (2010). LocusZoom: regional visualization of genome-wide association scan results. Bioinformatics (Oxford, England), 26(18), 2336-7. https://doi.org/10.1093/bioinformatics/btq419
Pruim, Randall J, et al. "LocusZoom: regional visualization of genome-wide association scan results." Bioinformatics (Oxford, England) vol. 26,18 (2010): 2336-7. doi: https://doi.org/10.1093/bioinformatics/btq419
Pruim RJ, Welch RP, Sanna S, Teslovich TM, Chines PS, Gliedt TP, Boehnke M, Abecasis GR, Willer CJ. LocusZoom: regional visualization of genome-wide association scan results. Bioinformatics. 2010 Sep 15;26(18):2336-7. doi: 10.1093/bioinformatics/btq419. Epub 2010 Jul 15. PMID: 20634204; PMCID: PMC2935401.
Copy Download .nbib Format: NLM
Human and rat skeletal muscle single-nuclei multi-omic integrative analyses nominate causal cell types, regulatory elements, and SNPs for complex traits.

Genome research

Orchard P, Manickam N, Ventresca C, Vadlamudi S, Varshney A, Rai V, Kaplan J, Lalancette C, Mohlke KL, Gallagher K, Burant CF, Parker SCJ.
PMID: 34815310
Genome Res. 2021 Nov 23; doi: 10.1101/gr.268482.120. Epub 2021 Nov 23.

Skeletal muscle accounts for the largest proportion of human body mass, on average, and is a key tissue in complex diseases and mobility. It is composed of several different cell and muscle fiber types. Here, we optimize single-nucleus ATAC-seq...

Cite
Orchard P, Manickam N, Ventresca C, et al. Human and rat skeletal muscle single-nuclei multi-omic integrative analyses nominate causal cell types, regulatory elements, and SNPs for complex traits. Genome Res. 2021;doi: 10.1101/gr.268482.120.
Orchard, P., Manickam, N., Ventresca, C., Vadlamudi, S., Varshney, A., Rai, V., Kaplan, J., Lalancette, C., Mohlke, K. L., Gallagher, K., Burant, C. F., & Parker, S. C. J. (2021). Human and rat skeletal muscle single-nuclei multi-omic integrative analyses nominate causal cell types, regulatory elements, and SNPs for complex traits. Genome research, . https://doi.org/10.1101/gr.268482.120
Orchard, Peter, et al. "Human and rat skeletal muscle single-nuclei multi-omic integrative analyses nominate causal cell types, regulatory elements, and SNPs for complex traits." Genome research vol. (2021). doi: https://doi.org/10.1101/gr.268482.120
Orchard P, Manickam N, Ventresca C, Vadlamudi S, Varshney A, Rai V, Kaplan J, Lalancette C, Mohlke KL, Gallagher K, Burant CF, Parker SCJ. Human and rat skeletal muscle single-nuclei multi-omic integrative analyses nominate causal cell types, regulatory elements, and SNPs for complex traits. Genome Res. 2021 Nov 23; doi: 10.1101/gr.268482.120. Epub 2021 Nov 23. PMID: 34815310; PMCID: PMC8647829.
Copy Download .nbib Format: NLM
A Phenome-Wide Association Study (PheWAS) of COVID-19 Outcomes by Race Using the Electronic Health Records Data in Michigan Medicine.

Journal of clinical medicine

Salvatore M, Gu T, Mack JA, Prabhu Sankar S, Patil S, Valley TS, Singh K, Nallamothu BK, Kheterpal S, Lisabeth L, Fritsche LG, Mukherjee B.
PMID: 33805886
J Clin Med. 2021 Mar 25;10(7). doi: 10.3390/jcm10071351.

BACKGROUND: We performed a phenome-wide association study to identify pre-existing conditions related to Coronavirus disease 2019 (COVID-19) prognosis across the medical phenome and how they vary by race.METHODS: The study is comprised of 53,853 patients who were tested/diagnosed for...

Cite
Salvatore M, Gu T, Mack JA, et al. A Phenome-Wide Association Study (PheWAS) of COVID-19 Outcomes by Race Using the Electronic Health Records Data in Michigan Medicine. J Clin Med. 2021;10(7)doi: 10.3390/jcm10071351.
Salvatore, M., Gu, T., Mack, J. A., Prabhu Sankar, S., Patil, S., Valley, T. S., Singh, K., Nallamothu, B. K., Kheterpal, S., Lisabeth, L., Fritsche, L. G., & Mukherjee, B. (2021). A Phenome-Wide Association Study (PheWAS) of COVID-19 Outcomes by Race Using the Electronic Health Records Data in Michigan Medicine. Journal of clinical medicine, 10(7), . https://doi.org/10.3390/jcm10071351
Salvatore, Maxwell, et al. "A Phenome-Wide Association Study (PheWAS) of COVID-19 Outcomes by Race Using the Electronic Health Records Data in Michigan Medicine." Journal of clinical medicine vol. 10,7 (2021). doi: https://doi.org/10.3390/jcm10071351
Salvatore M, Gu T, Mack JA, Prabhu Sankar S, Patil S, Valley TS, Singh K, Nallamothu BK, Kheterpal S, Lisabeth L, Fritsche LG, Mukherjee B. A Phenome-Wide Association Study (PheWAS) of COVID-19 Outcomes by Race Using the Electronic Health Records Data in Michigan Medicine. J Clin Med. 2021 Mar 25;10(7). doi: 10.3390/jcm10071351. PMID: 33805886; PMCID: PMC8037108.
Copy Download .nbib Format: NLM
Complexity in the genetic architecture of leukoaraiosis in hypertensive sibships from the GENOA Study.

BMC medical genomics

Smith JA, Turner ST, Sun YV, Fornage M, Kelly RJ, Mosley TH, Jack CR, Kullo IJ, Kardia SL.
PMID: 19351393
BMC Med Genomics. 2009 Apr 07;2:16. doi: 10.1186/1755-8794-2-16.

BACKGROUND: Subcortical white matter hyperintensity on magnetic resonance imaging (MRI) of the brain, referred to as leukoaraiosis, is associated with increased risk of stroke and dementia. Hypertension may contribute to leukoaraiosis by accelerating the process of arteriosclerosis involving penetrating...

Cite
Smith JA, Turner ST, Sun YV, et al. Complexity in the genetic architecture of leukoaraiosis in hypertensive sibships from the GENOA Study. BMC Med Genomics. 2009;2:16doi: 10.1186/1755-8794-2-16.
Smith, J. A., Turner, S. T., Sun, Y. V., Fornage, M., Kelly, R. J., Mosley, T. H., Jack, C. R., Kullo, I. J., & Kardia, S. L. (2009). Complexity in the genetic architecture of leukoaraiosis in hypertensive sibships from the GENOA Study. BMC medical genomics, 216. https://doi.org/10.1186/1755-8794-2-16
Smith, Jennifer A, et al. "Complexity in the genetic architecture of leukoaraiosis in hypertensive sibships from the GENOA Study." BMC medical genomics vol. 2 (2009): 16. doi: https://doi.org/10.1186/1755-8794-2-16
Smith JA, Turner ST, Sun YV, Fornage M, Kelly RJ, Mosley TH, Jack CR, Kullo IJ, Kardia SL. Complexity in the genetic architecture of leukoaraiosis in hypertensive sibships from the GENOA Study. BMC Med Genomics. 2009 Apr 07;2:16. doi: 10.1186/1755-8794-2-16. PMID: 19351393; PMCID: PMC2679055.
Copy Download .nbib Format: NLM
Tissue- and Sex-Specific DNA Methylation Changes in Mice Perinatally Exposed to Lead (Pb).

Frontiers in genetics

Wang K, Liu S, Svoboda LK, Rygiel CA, Neier K, Jones TR, Colacino JA, Dolinoy DC, Sartor MA.
PMID: 32973866
Front Genet. 2020 Aug 21;11:840. doi: 10.3389/fgene.2020.00840. eCollection 2020.

Lead (Pb) is a well-known toxicant that interferes with the development of a child's nervous and metabolic systems and increases the risk of developing diseases later in life. Although studies have investigated epigenetic effects associated with Pb exposure, knowledge...

Cite
Wang K, Liu S, Svoboda LK, et al. Tissue- and Sex-Specific DNA Methylation Changes in Mice Perinatally Exposed to Lead (Pb). Front Genet. 2020;11:840doi: 10.3389/fgene.2020.00840.
Wang, K., Liu, S., Svoboda, L. K., Rygiel, C. A., Neier, K., Jones, T. R., Colacino, J. A., Dolinoy, D. C., & Sartor, M. A. (2020). Tissue- and Sex-Specific DNA Methylation Changes in Mice Perinatally Exposed to Lead (Pb). Frontiers in genetics, 11840. https://doi.org/10.3389/fgene.2020.00840
Wang, Kai, et al. "Tissue- and Sex-Specific DNA Methylation Changes in Mice Perinatally Exposed to Lead (Pb)." Frontiers in genetics vol. 11 (2020): 840. doi: https://doi.org/10.3389/fgene.2020.00840
Wang K, Liu S, Svoboda LK, Rygiel CA, Neier K, Jones TR, Colacino JA, Dolinoy DC, Sartor MA. Tissue- and Sex-Specific DNA Methylation Changes in Mice Perinatally Exposed to Lead (Pb). Front Genet. 2020 Aug 21;11:840. doi: 10.3389/fgene.2020.00840. eCollection 2020. PMID: 32973866; PMCID: PMC7472839.
Copy Download .nbib Format: NLM
The Association of Prenatal Vitamins and Folic Acid Supplement Intake with Odds of Autism Spectrum Disorder in a High-Risk Sibling Cohort, the Early Autism Risk Longitudinal Investigation (EARLI).

Journal of autism and developmental disorders

Brieger KK, Bakulski KM, Pearce CL, Baylin A, Dou JF, Feinberg JI, Croen LA, Hertz-Picciotto I, Newschaffer CJ, Fallin MD, Schmidt RJ.
PMID: 34110557
J Autism Dev Disord. 2021 Jun 10; doi: 10.1007/s10803-021-05110-9. Epub 2021 Jun 10.

We examined maternal prenatal vitamin use or supplemental folic acid intake during month one of pregnancy for association with autism spectrum disorder (ASD) in the Early Autism Risk Longitudinal Investigation, an enriched-risk pregnancy cohort. Total folic acid intake was...

Cite
Brieger KK, Bakulski KM, Pearce CL, et al. The Association of Prenatal Vitamins and Folic Acid Supplement Intake with Odds of Autism Spectrum Disorder in a High-Risk Sibling Cohort, the Early Autism Risk Longitudinal Investigation (EARLI). J Autism Dev Disord. 2021;doi: 10.1007/s10803-021-05110-9.
Brieger, K. K., Bakulski, K. M., Pearce, C. L., Baylin, A., Dou, J. F., Feinberg, J. I., Croen, L. A., Hertz-Picciotto, I., Newschaffer, C. J., Fallin, M. D., & Schmidt, R. J. (2021). The Association of Prenatal Vitamins and Folic Acid Supplement Intake with Odds of Autism Spectrum Disorder in a High-Risk Sibling Cohort, the Early Autism Risk Longitudinal Investigation (EARLI). Journal of autism and developmental disorders, . https://doi.org/10.1007/s10803-021-05110-9
Brieger, Katharine K, et al. "The Association of Prenatal Vitamins and Folic Acid Supplement Intake with Odds of Autism Spectrum Disorder in a High-Risk Sibling Cohort, the Early Autism Risk Longitudinal Investigation (EARLI)." Journal of autism and developmental disorders vol. (2021). doi: https://doi.org/10.1007/s10803-021-05110-9
Brieger KK, Bakulski KM, Pearce CL, Baylin A, Dou JF, Feinberg JI, Croen LA, Hertz-Picciotto I, Newschaffer CJ, Fallin MD, Schmidt RJ. The Association of Prenatal Vitamins and Folic Acid Supplement Intake with Odds of Autism Spectrum Disorder in a High-Risk Sibling Cohort, the Early Autism Risk Longitudinal Investigation (EARLI). J Autism Dev Disord. 2021 Jun 10; doi: 10.1007/s10803-021-05110-9. Epub 2021 Jun 10. PMID: 34110557.
Copy Download .nbib Format: NLM
Showing 1 to 12 of 25 entries