Advanced Search
Display options
Filter resources
Text Availability
Article type
Publication date
Species
Language
Sex
Age
Showing 1 to 12 of 24 entries
Sorted by: Best Match Show Resources per page
A Social Determinant of Health May Modify Genetic Associations for Blood Pressure: Evidence From a SNP by Education Interaction in an African American Population.

Frontiers in genetics

Hollister BM, Farber-Eger E, Aldrich MC, Crawford DC.
PMID: 31134134
Front Genet. 2019 May 10;10:428. doi: 10.3389/fgene.2019.00428. eCollection 2019.

African Americans experience the highest burden of hypertension in the United States compared with other groups. Genetic contributions to this complex condition are now emerging in this as well as other populations through large-scale genome-wide association studies (GWAS) and...

Cite
Hollister BM, Farber-Eger E, Aldrich MC, et al. A Social Determinant of Health May Modify Genetic Associations for Blood Pressure: Evidence From a SNP by Education Interaction in an African American Population. Front Genet. 2019;10:428doi: 10.3389/fgene.2019.00428.
Hollister, B. M., Farber-Eger, E., Aldrich, M. C., & Crawford, D. C. (2019). A Social Determinant of Health May Modify Genetic Associations for Blood Pressure: Evidence From a SNP by Education Interaction in an African American Population. Frontiers in genetics, 10428. https://doi.org/10.3389/fgene.2019.00428
Hollister, Brittany M, et al. "A Social Determinant of Health May Modify Genetic Associations for Blood Pressure: Evidence From a SNP by Education Interaction in an African American Population." Frontiers in genetics vol. 10 (2019): 428. doi: https://doi.org/10.3389/fgene.2019.00428
Hollister BM, Farber-Eger E, Aldrich MC, Crawford DC. A Social Determinant of Health May Modify Genetic Associations for Blood Pressure: Evidence From a SNP by Education Interaction in an African American Population. Front Genet. 2019 May 10;10:428. doi: 10.3389/fgene.2019.00428. eCollection 2019. PMID: 31134134; PMCID: PMC6523518.
Copy Download .nbib Format: NLM
Use of the PsycheMERGE Network to Investigate the Association Between Depression Polygenic Scores and White Blood Cell Count.

JAMA psychiatry

Sealock JM, Lee YH, Moscati A, Venkatesh S, Voloudakis G, Straub P, Singh K, Feng YA, Ge T, Roussos P, Smoller JW, Chen G, Davis LK.
PMID: 34668925
JAMA Psychiatry. 2021 Dec 01;78(12):1365-1374. doi: 10.1001/jamapsychiatry.2021.2959.

IMPORTANCE: Although depression is a common psychiatric disorder, its underlying biological basis remains poorly understood. Pairing depression polygenic scores with the results of clinical laboratory tests can reveal biological processes involved in depression etiology and in the physiological changes...

Cite
Sealock JM, Lee YH, Moscati A, et al. Use of the PsycheMERGE Network to Investigate the Association Between Depression Polygenic Scores and White Blood Cell Count. JAMA Psychiatry. 2021;78(12):1365-1374doi: 10.1001/jamapsychiatry.2021.2959.
Sealock, J. M., Lee, Y. H., Moscati, A., Venkatesh, S., Voloudakis, G., Straub, P., Singh, K., Feng, Y. A., Ge, T., Roussos, P., Smoller, J. W., Chen, G., & Davis, L. K. (2021). Use of the PsycheMERGE Network to Investigate the Association Between Depression Polygenic Scores and White Blood Cell Count. JAMA psychiatry, 78(12), 1365-1374. https://doi.org/10.1001/jamapsychiatry.2021.2959
Sealock, Julia M, et al. "Use of the PsycheMERGE Network to Investigate the Association Between Depression Polygenic Scores and White Blood Cell Count." JAMA psychiatry vol. 78,12 (2021): 1365-1374. doi: https://doi.org/10.1001/jamapsychiatry.2021.2959
Sealock JM, Lee YH, Moscati A, Venkatesh S, Voloudakis G, Straub P, Singh K, Feng YA, Ge T, Roussos P, Smoller JW, Chen G, Davis LK. Use of the PsycheMERGE Network to Investigate the Association Between Depression Polygenic Scores and White Blood Cell Count. JAMA Psychiatry. 2021 Dec 01;78(12):1365-1374. doi: 10.1001/jamapsychiatry.2021.2959. PMID: 34668925; PMCID: PMC8529528.
Copy Download .nbib Format: NLM
DRUG-DRUG INTERACTION PROFILES OF MEDICATION REGIMENS EXTRACTED FROM A DE-IDENTIFIED ELECTRONIC MEDICAL RECORDS SYSTEM.

AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science

Butkiewicz M, Restrepo NA, Haines JL, Crawford DC.
PMID: 27570646
AMIA Jt Summits Transl Sci Proc. 2016 Jul 20;2016:33-40. eCollection 2016.

With age, the number of prescribed medications increases and subsequently raises the risk for adverse drug-drug interactions. These adverse effects lower quality of life and increase health care costs. Quantifying the potential burden of adverse effects before prescribing medications...

Cite
Butkiewicz M, Restrepo NA, Haines JL, et al. DRUG-DRUG INTERACTION PROFILES OF MEDICATION REGIMENS EXTRACTED FROM A DE-IDENTIFIED ELECTRONIC MEDICAL RECORDS SYSTEM. AMIA Jt Summits Transl Sci Proc. 2016;2016:33-40
Butkiewicz, M., Restrepo, N. A., Haines, J. L., & Crawford, D. C. (2016). DRUG-DRUG INTERACTION PROFILES OF MEDICATION REGIMENS EXTRACTED FROM A DE-IDENTIFIED ELECTRONIC MEDICAL RECORDS SYSTEM. AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science, 201633-40.
Butkiewicz, Mariusz, et al. "DRUG-DRUG INTERACTION PROFILES OF MEDICATION REGIMENS EXTRACTED FROM A DE-IDENTIFIED ELECTRONIC MEDICAL RECORDS SYSTEM." AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science vol. 2016 (2016): 33-40.
Butkiewicz M, Restrepo NA, Haines JL, Crawford DC. DRUG-DRUG INTERACTION PROFILES OF MEDICATION REGIMENS EXTRACTED FROM A DE-IDENTIFIED ELECTRONIC MEDICAL RECORDS SYSTEM. AMIA Jt Summits Transl Sci Proc. 2016 Jul 20;2016:33-40. eCollection 2016. PMID: 27570646; PMCID: PMC5001747.
Copy Download .nbib Format: NLM
Pleiotropy of systemic lupus erythematosus risk alleles and cardiometabolic disorders: A phenome-wide association study and inverse-variance weighted meta-analysis.

Lupus

Kawai VK, Shi M, Liu G, Feng Q, Wei W, Chung CP, Walunas TL, Gordon AS, Linneman JG, Hebbring SJ, Harley JB, Cox NJ, Roden DM, Stein CM, Mosley JD.
PMID: 33977795
Lupus. 2021 Jul;30(8):1264-1272. doi: 10.1177/09612033211014952. Epub 2021 May 12.

OBJECTIVES: To test the hypothesis that genetic predisposition to systemic lupus erythematosus (SLE) increases the risk of cardiometabolic disorders.METHODS: Using 41 single nucleotide polymorphisms (SNPs) associated with SLE, we calculated a weighted genetic risk score (wGRS) for SLE. In...

Cite
Kawai VK, Shi M, Liu G, et al. Pleiotropy of systemic lupus erythematosus risk alleles and cardiometabolic disorders: A phenome-wide association study and inverse-variance weighted meta-analysis. Lupus. 2021;30(8):1264-1272doi: 10.1177/09612033211014952.
Kawai, V. K., Shi, M., Liu, G., Feng, Q., Wei, W., Chung, C. P., Walunas, T. L., Gordon, A. S., Linneman, J. G., Hebbring, S. J., Harley, J. B., Cox, N. J., Roden, D. M., Stein, C. M., & Mosley, J. D. (2021). Pleiotropy of systemic lupus erythematosus risk alleles and cardiometabolic disorders: A phenome-wide association study and inverse-variance weighted meta-analysis. Lupus, 30(8), 1264-1272. https://doi.org/10.1177/09612033211014952
Kawai, Vivian K, et al. "Pleiotropy of systemic lupus erythematosus risk alleles and cardiometabolic disorders: A phenome-wide association study and inverse-variance weighted meta-analysis." Lupus vol. 30,8 (2021): 1264-1272. doi: https://doi.org/10.1177/09612033211014952
Kawai VK, Shi M, Liu G, Feng Q, Wei W, Chung CP, Walunas TL, Gordon AS, Linneman JG, Hebbring SJ, Harley JB, Cox NJ, Roden DM, Stein CM, Mosley JD. Pleiotropy of systemic lupus erythematosus risk alleles and cardiometabolic disorders: A phenome-wide association study and inverse-variance weighted meta-analysis. Lupus. 2021 Jul;30(8):1264-1272. doi: 10.1177/09612033211014952. Epub 2021 May 12. PMID: 33977795; PMCID: PMC8205989.
Copy Download .nbib Format: NLM
Population Stratification in the Context of Diverse Epidemiologic Surveys Sans Genome-Wide Data.

Frontiers in genetics

Oetjens MT, Brown-Gentry K, Goodloe R, Dilks HH, Crawford DC.
PMID: 27200085
Front Genet. 2016 May 06;7:76. doi: 10.3389/fgene.2016.00076. eCollection 2016.

Population stratification or confounding by genetic ancestry is a potential cause of false associations in genetic association studies. Estimation of and adjustment for genetic ancestry has become common practice thanks in part to the availability of ancestry informative markers...

Cite
Oetjens MT, Brown-Gentry K, Goodloe R, et al. Population Stratification in the Context of Diverse Epidemiologic Surveys Sans Genome-Wide Data. Front Genet. 2016;7:76doi: 10.3389/fgene.2016.00076.
Oetjens, M. T., Brown-Gentry, K., Goodloe, R., Dilks, H. H., & Crawford, D. C. (2016). Population Stratification in the Context of Diverse Epidemiologic Surveys Sans Genome-Wide Data. Frontiers in genetics, 776. https://doi.org/10.3389/fgene.2016.00076
Oetjens, Matthew T, et al. "Population Stratification in the Context of Diverse Epidemiologic Surveys Sans Genome-Wide Data." Frontiers in genetics vol. 7 (2016): 76. doi: https://doi.org/10.3389/fgene.2016.00076
Oetjens MT, Brown-Gentry K, Goodloe R, Dilks HH, Crawford DC. Population Stratification in the Context of Diverse Epidemiologic Surveys Sans Genome-Wide Data. Front Genet. 2016 May 06;7:76. doi: 10.3389/fgene.2016.00076. eCollection 2016. PMID: 27200085; PMCID: PMC4858524.
Copy Download .nbib Format: NLM
Extraction of echocardiographic data from the electronic medical record is a rapid and efficient method for study of cardiac structure and function.

Journal of clinical bioinformatics

Wells QS, Farber-Eger E, Crawford DC.
PMID: 25276338
J Clin Bioinforma. 2014 Sep 20;4:12. doi: 10.1186/2043-9113-4-12. eCollection 2014.

BACKGROUND: Measures of cardiac structure and function are important human phenotypes that are associated with a range of clinical outcomes. Studying these traits in large populations can be time consuming and costly. Utilizing data from large electronic medical records...

Cite
Wells QS, Farber-Eger E, Crawford DC. Extraction of echocardiographic data from the electronic medical record is a rapid and efficient method for study of cardiac structure and function. J Clin Bioinforma. 2014;4:12doi: 10.1186/2043-9113-4-12.
Wells, Q. S., Farber-Eger, E., & Crawford, D. C. (2014). Extraction of echocardiographic data from the electronic medical record is a rapid and efficient method for study of cardiac structure and function. Journal of clinical bioinformatics, 412. https://doi.org/10.1186/2043-9113-4-12
Wells, Quinn S, et al. "Extraction of echocardiographic data from the electronic medical record is a rapid and efficient method for study of cardiac structure and function." Journal of clinical bioinformatics vol. 4 (2014): 12. doi: https://doi.org/10.1186/2043-9113-4-12
Wells QS, Farber-Eger E, Crawford DC. Extraction of echocardiographic data from the electronic medical record is a rapid and efficient method for study of cardiac structure and function. J Clin Bioinforma. 2014 Sep 20;4:12. doi: 10.1186/2043-9113-4-12. eCollection 2014. PMID: 25276338; PMCID: PMC4177384.
Copy Download .nbib Format: NLM
Replication of European hypertension associations in a case-control study of 9,534 African Americans.

PloS one

Kaur H, Crawford DC, Liang J, Benchek P, Zhu X, Kallianpur AR, Bush WS.
PMID: 34793544
PLoS One. 2021 Nov 18;16(11):e0259962. doi: 10.1371/journal.pone.0259962. eCollection 2021.

OBJECTIVE: Hypertension is more prevalent in African Americans (AA) than other ethnic groups. Genome-wide association studies (GWAS) have identified loci associated with hypertension and other cardio-metabolic traits like type 2 diabetes, coronary artery disease, and body mass index (BMI),...

Cite
Kaur H, Crawford DC, Liang J, et al. Replication of European hypertension associations in a case-control study of 9,534 African Americans. PLoS One. 2021;16(11):e0259962doi: 10.1371/journal.pone.0259962.
Kaur, H., Crawford, D. C., Liang, J., Benchek, P., Zhu, X., Kallianpur, A. R., & Bush, W. S. (2021). Replication of European hypertension associations in a case-control study of 9,534 African Americans. PloS one, 16(11), e0259962. https://doi.org/10.1371/journal.pone.0259962
Kaur, Harpreet, et al. "Replication of European hypertension associations in a case-control study of 9,534 African Americans." PloS one vol. 16,11 (2021): e0259962. doi: https://doi.org/10.1371/journal.pone.0259962
Kaur H, Crawford DC, Liang J, Benchek P, Zhu X, Kallianpur AR, Bush WS. Replication of European hypertension associations in a case-control study of 9,534 African Americans. PLoS One. 2021 Nov 18;16(11):e0259962. doi: 10.1371/journal.pone.0259962. eCollection 2021. PMID: 34793544; PMCID: PMC8601554.
Copy Download .nbib Format: NLM
TPMT and NUDT15 Variants Predict Discontinuation of Azathioprine for Myelotoxicity in Patients with Inflammatory Disease: Real-World Clinical Results.

Clinical pharmacology and therapeutics

Dickson AL, Daniel LL, Zanussi J, Dale Plummer W, Wei WQ, Liu G, Reese T, Anandi P, Birdwell KA, Kawai V, Cox NJ, Dupont WD, Hung AM, Feng Q, Stein CM, Chung CP.
PMID: 34582038
Clin Pharmacol Ther. 2022 Jan;111(1):263-271. doi: 10.1002/cpt.2428. Epub 2021 Oct 12.

Azathioprine is used frequently to treat several inflammatory conditions. However, treatment is limited by adverse events-in particular, myelotoxicity. Thiopurine-S-methyltransferase (TPMT) and nudix hydrolase-15 (NUDT15) are enzymes involved in azathioprine metabolism; variants in the genes encoding these enzymes increase the...

Cite
Dickson AL, Daniel LL, Zanussi J, et al. TPMT and NUDT15 Variants Predict Discontinuation of Azathioprine for Myelotoxicity in Patients with Inflammatory Disease: Real-World Clinical Results. Clin Pharmacol Ther. 2021;111(1):263-271doi: 10.1002/cpt.2428.
Dickson, A. L., Daniel, L. L., Zanussi, J., Dale Plummer, W., Wei, W. Q., Liu, G., Reese, T., Anandi, P., Birdwell, K. A., Kawai, V., Cox, N. J., Dupont, W. D., Hung, A. M., Feng, Q., Stein, C. M., & Chung, C. P. (2022). TPMT and NUDT15 Variants Predict Discontinuation of Azathioprine for Myelotoxicity in Patients with Inflammatory Disease: Real-World Clinical Results. Clinical pharmacology and therapeutics, 111(1), 263-271. https://doi.org/10.1002/cpt.2428
Dickson, Alyson L, et al. "TPMT and NUDT15 Variants Predict Discontinuation of Azathioprine for Myelotoxicity in Patients with Inflammatory Disease: Real-World Clinical Results." Clinical pharmacology and therapeutics vol. 111,1 (2022): 263-271. doi: https://doi.org/10.1002/cpt.2428
Dickson AL, Daniel LL, Zanussi J, Dale Plummer W, Wei WQ, Liu G, Reese T, Anandi P, Birdwell KA, Kawai V, Cox NJ, Dupont WD, Hung AM, Feng Q, Stein CM, Chung CP. TPMT and NUDT15 Variants Predict Discontinuation of Azathioprine for Myelotoxicity in Patients with Inflammatory Disease: Real-World Clinical Results. Clin Pharmacol Ther. 2022 Jan;111(1):263-271. doi: 10.1002/cpt.2428. Epub 2021 Oct 12. PMID: 34582038; PMCID: PMC8678305.
Copy Download .nbib Format: NLM
Towards a phenome-wide catalog of human clinical traits impacted by genetic ancestry.

BioData mining

Dumitrescu L, Restrepo NA, Goodloe R, Boston J, Farber-Eger E, Pendergrass SA, Bush WS, Crawford DC.
PMID: 26566401
BioData Min. 2015 Nov 11;8:35. doi: 10.1186/s13040-015-0068-y. eCollection 2015.

BACKGROUND: Racial/ethnic differences for commonly measured clinical variables are well documented, and it has been postulated that population-specific genetic factors may play a role. The genetic heterogeneity of admixed populations, such as African Americans, provides a unique opportunity to...

Cite
Dumitrescu L, Restrepo NA, Goodloe R, et al. Towards a phenome-wide catalog of human clinical traits impacted by genetic ancestry. BioData Min. 2015;8:35doi: 10.1186/s13040-015-0068-y.
Dumitrescu, L., Restrepo, N. A., Goodloe, R., Boston, J., Farber-Eger, E., Pendergrass, S. A., Bush, W. S., & Crawford, D. C. (2015). Towards a phenome-wide catalog of human clinical traits impacted by genetic ancestry. BioData mining, 835. https://doi.org/10.1186/s13040-015-0068-y
Dumitrescu, Logan, et al. "Towards a phenome-wide catalog of human clinical traits impacted by genetic ancestry." BioData mining vol. 8 (2015): 35. doi: https://doi.org/10.1186/s13040-015-0068-y
Dumitrescu L, Restrepo NA, Goodloe R, Boston J, Farber-Eger E, Pendergrass SA, Bush WS, Crawford DC. Towards a phenome-wide catalog of human clinical traits impacted by genetic ancestry. BioData Min. 2015 Nov 11;8:35. doi: 10.1186/s13040-015-0068-y. eCollection 2015. PMID: 26566401; PMCID: PMC4642611.
Copy Download .nbib Format: NLM
The effects of electronic medical record phenotyping details on genetic association studies: HDL-C as a case study.

BioData mining

Dumitrescu L, Goodloe R, Bradford Y, Farber-Eger E, Boston J, Crawford DC.
PMID: 25969697
BioData Min. 2015 May 06;8:15. doi: 10.1186/s13040-015-0048-2. eCollection 2015.

BACKGROUND: Biorepositories linked to de-identified electronic medical records (EMRs) have the potential to complement traditional epidemiologic studies in genotype-phenotype studies of complex human diseases and traits. A major challenge in meeting this potential is the use of EMR-derived data...

Cite
Dumitrescu L, Goodloe R, Bradford Y, et al. The effects of electronic medical record phenotyping details on genetic association studies: HDL-C as a case study. BioData Min. 2015;8:15doi: 10.1186/s13040-015-0048-2.
Dumitrescu, L., Goodloe, R., Bradford, Y., Farber-Eger, E., Boston, J., & Crawford, D. C. (2015). The effects of electronic medical record phenotyping details on genetic association studies: HDL-C as a case study. BioData mining, 815. https://doi.org/10.1186/s13040-015-0048-2
Dumitrescu, Logan, et al. "The effects of electronic medical record phenotyping details on genetic association studies: HDL-C as a case study." BioData mining vol. 8 (2015): 15. doi: https://doi.org/10.1186/s13040-015-0048-2
Dumitrescu L, Goodloe R, Bradford Y, Farber-Eger E, Boston J, Crawford DC. The effects of electronic medical record phenotyping details on genetic association studies: HDL-C as a case study. BioData Min. 2015 May 06;8:15. doi: 10.1186/s13040-015-0048-2. eCollection 2015. PMID: 25969697; PMCID: PMC4428098.
Copy Download .nbib Format: NLM
TPMT and NUDT15 Variants Predict Discontinuation of Azathioprine for Myelotoxicity in Patients with Inflammatory Disease: Real-World Clinical Results.

Clinical pharmacology and therapeutics

Dickson AL, Daniel LL, Zanussi J, Dale Plummer W, Wei WQ, Liu G, Reese T, Anandi P, Birdwell KA, Kawai V, Cox NJ, Dupont WD, Hung AM, Feng Q, Stein CM, Chung CP.
PMID: 34582038
Clin Pharmacol Ther. 2022 Jan;111(1):263-271. doi: 10.1002/cpt.2428. Epub 2021 Oct 12.

Azathioprine is used frequently to treat several inflammatory conditions. However, treatment is limited by adverse events-in particular, myelotoxicity. Thiopurine-S-methyltransferase (TPMT) and nudix hydrolase-15 (NUDT15) are enzymes involved in azathioprine metabolism; variants in the genes encoding these enzymes increase the...

Cite
Dickson AL, Daniel LL, Zanussi J, et al. TPMT and NUDT15 Variants Predict Discontinuation of Azathioprine for Myelotoxicity in Patients with Inflammatory Disease: Real-World Clinical Results. Clin Pharmacol Ther. 2021;111(1):263-271doi: 10.1002/cpt.2428.
Dickson, A. L., Daniel, L. L., Zanussi, J., Dale Plummer, W., Wei, W. Q., Liu, G., Reese, T., Anandi, P., Birdwell, K. A., Kawai, V., Cox, N. J., Dupont, W. D., Hung, A. M., Feng, Q., Stein, C. M., & Chung, C. P. (2022). TPMT and NUDT15 Variants Predict Discontinuation of Azathioprine for Myelotoxicity in Patients with Inflammatory Disease: Real-World Clinical Results. Clinical pharmacology and therapeutics, 111(1), 263-271. https://doi.org/10.1002/cpt.2428
Dickson, Alyson L, et al. "TPMT and NUDT15 Variants Predict Discontinuation of Azathioprine for Myelotoxicity in Patients with Inflammatory Disease: Real-World Clinical Results." Clinical pharmacology and therapeutics vol. 111,1 (2022): 263-271. doi: https://doi.org/10.1002/cpt.2428
Dickson AL, Daniel LL, Zanussi J, Dale Plummer W, Wei WQ, Liu G, Reese T, Anandi P, Birdwell KA, Kawai V, Cox NJ, Dupont WD, Hung AM, Feng Q, Stein CM, Chung CP. TPMT and NUDT15 Variants Predict Discontinuation of Azathioprine for Myelotoxicity in Patients with Inflammatory Disease: Real-World Clinical Results. Clin Pharmacol Ther. 2022 Jan;111(1):263-271. doi: 10.1002/cpt.2428. Epub 2021 Oct 12. PMID: 34582038; PMCID: PMC8678305.
Copy Download .nbib Format: NLM
Phenome risk classification enables phenotypic imputation and gene discovery in developmental stuttering.

American journal of human genetics

Shaw DM, Polikowsky HP, Pruett DG, Chen HH, Petty LE, Viljoen KZ, Beilby JM, Jones RM, Kraft SJ, Below JE.
PMID: 34861174
Am J Hum Genet. 2021 Dec 02;108(12):2271-2283. doi: 10.1016/j.ajhg.2021.11.004.

Developmental stuttering is a speech disorder characterized by disruption in the forward movement of speech. This disruption includes part-word and single-syllable repetitions, prolongations, and involuntary tension that blocks syllables and words, and the disorder has a life-time prevalence of...

Cite
Shaw DM, Polikowsky HP, Pruett DG, et al. Phenome risk classification enables phenotypic imputation and gene discovery in developmental stuttering. Am J Hum Genet. 2021;108(12):2271-2283doi: 10.1016/j.ajhg.2021.11.004.
Shaw, D. M., Polikowsky, H. P., Pruett, D. G., Chen, H. H., Petty, L. E., Viljoen, K. Z., Beilby, J. M., Jones, R. M., Kraft, S. J., & Below, J. E. (2021). Phenome risk classification enables phenotypic imputation and gene discovery in developmental stuttering. American journal of human genetics, 108(12), 2271-2283. https://doi.org/10.1016/j.ajhg.2021.11.004
Shaw, Douglas M, et al. "Phenome risk classification enables phenotypic imputation and gene discovery in developmental stuttering." American journal of human genetics vol. 108,12 (2021): 2271-2283. doi: https://doi.org/10.1016/j.ajhg.2021.11.004
Shaw DM, Polikowsky HP, Pruett DG, Chen HH, Petty LE, Viljoen KZ, Beilby JM, Jones RM, Kraft SJ, Below JE. Phenome risk classification enables phenotypic imputation and gene discovery in developmental stuttering. Am J Hum Genet. 2021 Dec 02;108(12):2271-2283. doi: 10.1016/j.ajhg.2021.11.004. PMID: 34861174.
Copy Download .nbib Format: NLM
Showing 1 to 12 of 24 entries