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Showing 1 to 12 of 44 entries
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[Fine mapping of complex disease susceptibility loci].

Yi chuan = Hereditas

Song Q, Zhang H, Ma Y, Zhou G.
PMID: 24846913
Yi Chuan. 2014 Jan;36(1):2-10. doi: 10.3724/sp.j.1005.2014.00002.

Genome-wide association studies (GWAS) using single nucleotide polymorphism (SNP) markers have identified more than 3800 susceptibility loci for more than 660 diseases or traits. However, the most significantly associated variants or causative variants in these loci and their biological...

Network-Based Analysis of Schizophrenia Genome-Wide Association Data to Detect the Joint Functional Association Signals.

PloS one

Chang S, Fang K, Zhang K, Wang J.
PMID: 26193471
PLoS One. 2015 Jul 20;10(7):e0133404. doi: 10.1371/journal.pone.0133404. eCollection 2015.

Schizophrenia is a common psychiatric disorder with high heritability and complex genetic architecture. Genome-wide association studies (GWAS) have identified several significant loci associated with schizophrenia. However, the explained heritability is still low. Growing evidence has shown schizophrenia is attributable...

Confirmation of novel type 1 diabetes risk loci in families.

Diabetologia

Cooper JD, Howson JM, Smyth D, Walker NM, Stevens H, Yang JH, She JX, Eisenbarth GS, Rewers M, Todd JA, Akolkar B, Concannon P, Erlich HA, Julier C, Morahan G, Nerup J, Nierras C, Pociot F, Rich SS.
PMID: 22278338
Diabetologia. 2012 Apr;55(4):996-1000. doi: 10.1007/s00125-012-2450-3. Epub 2012 Jan 26.

AIMS/HYPOTHESIS: Over 50 regions of the genome have been associated with type 1 diabetes risk, mainly using large case/control collections. In a recent genome-wide association (GWA) study, 18 novel susceptibility loci were identified and replicated, including replication evidence from...

An approach to the question, does all diabetes depend upon a single genetic locus?.

Diabetes

POST RH.
PMID: 14488212
Diabetes. 1962 Jan-Feb;11:56-65.

No abstract available.

Deciphering the epigenetic code: an overview of DNA methylation analysis methods.

Antioxidants & redox signaling

Umer M, Herceg Z.
PMID: 23121567
Antioxid Redox Signal. 2013 May 20;18(15):1972-86. doi: 10.1089/ars.2012.4923. Epub 2013 Jan 22.

SIGNIFICANCE: Methylation of cytosine in DNA is linked with gene regulation, and this has profound implications in development, normal biology, and disease conditions in many eukaryotic organisms. A wide range of methods and approaches exist for its identification, quantification,...

Discerning combining ability loci for divergent environments using chromosome segment substitution lines (CSSLs) in pearl millet.

PloS one

Basava RK, Hash CT, Mahendrakar MD, Kishor P B K, Satyavathi CT, Kumar S, Singh RB, Yadav RS, Gupta R, Srivastava RK.
PMID: 31461465
PLoS One. 2019 Aug 28;14(8):e0218916. doi: 10.1371/journal.pone.0218916. eCollection 2019.

Pearl millet is an important crop for arid and semi-arid regions of the world. Genomic regions associated with combining ability for yield-related traits under irrigated and drought conditions are useful in heterosis breeding programs. Chromosome segment substitution lines (CSSLs)...

Bivariate Genome-Wide Association Study of Depressive Symptoms With Type 2 Diabetes and Quantitative Glycemic Traits.

Psychosomatic medicine

Haljas K, Amare AT, Alizadeh BZ, Hsu YH, Mosley T, Newman A, Murabito J, Tiemeier H, Tanaka T, van Duijn C, Ding J, Llewellyn DJ, Bennett DA, Terracciano A, Launer L, Ladwig KH, Cornelis MC, Teumer A, Grabe H, Kardia SLR, Ware EB, Smith JA, Snieder H, Eriksson JG, Groop L, Räikkönen K, Lahti J.
PMID: 29280852
Psychosom Med. 2018 Apr;80(3):242-251. doi: 10.1097/PSY.0000000000000555.

OBJECTIVE: Shared genetic background may explain phenotypic associations between depression and Type 2 diabetes (T2D). We aimed to study, on a genome-wide level, if genetic correlation and pleiotropic loci exist between depressive symptoms and T2D or glycemic traits.METHODS: We...

A Genetic Locus Associated With Depression: The Iceberg Begins to Melt.

Biological psychiatry

Nurnberger JI.
PMID: 28781002
Biol Psychiatry. 2017 Sep 01;82(5):304-305. doi: 10.1016/j.biopsych.2017.06.023.

No abstract available.

GWAS of 126,559 individuals identifies genetic variants associated with educational attainment.

Science (New York, N.Y.)

Rietveld CA, Medland SE, Derringer J, Yang J, Esko T, Martin NW, Westra HJ, Shakhbazov K, Abdellaoui A, Agrawal A, Albrecht E, Alizadeh BZ, Amin N, Barnard J, Baumeister SE, Benke KS, Bielak LF, Boatman JA, Boyle PA, Davies G, de Leeuw C, Eklund N, Evans DS, Ferhmann R, Fischer K, Gieger C, Gjessing HK, Hägg S, Harris JR, Hayward C, Holzapfel C, Ibrahim-Verbaas CA, Ingelsson E, Jacobsson B, Joshi PK, Jugessur A, Kaakinen M, Kanoni S, Karjalainen J, Kolcic I, Kristiansson K, Kutalik Z, Lahti J, Lee SH, Lin P, Lind PA, Liu Y, Lohman K, Loitfelder M, McMahon G, Vidal PM, Meirelles O, Milani L, Myhre R, Nuotio ML, Oldmeadow CJ, Petrovic KE, Peyrot WJ, Polasek O, Quaye L, Reinmaa E, Rice JP, Rizzi TS, Schmidt H, Schmidt R, Smith AV, Smith JA, Tanaka T, Terracciano A, van der Loos MJ, Vitart V, Völzke H, Wellmann J, Yu L, Zhao W, Allik J, Attia JR, Bandinelli S, Bastardot F, Beauchamp J, Bennett DA, Berger K, Bierut LJ, Boomsma DI, Bültmann U, Campbell H, Chabris CF, Cherkas L, Chung MK, Cucca F, de Andrade M, De Jager PL, De Neve JE, Deary IJ, Dedoussis GV, Deloukas P, Dimitriou M, Eiríksdóttir G, Elderson MF, Eriksson JG, Evans DM, Faul JD, Ferrucci L, Garcia ME, Grönberg H, Guðnason V, Hall P, Harris JM, Harris TB, Hastie ND, Heath AC, Hernandez DG, Hoffmann W, Hofman A, Holle R, Holliday EG, Hottenga JJ, Iacono WG, Illig T, Järvelin MR, Kähönen M, Kaprio J, Kirkpatrick RM, Kowgier M, Latvala A, Launer LJ, Lawlor DA, Lehtimäki T, Li J, Lichtenstein P, Lichtner P, Liewald DC, Madden PA, Magnusson PK, Mäkinen TE, Masala M, McGue M, Metspalu A, Mielck A, Miller MB, Montgomery GW, Mukherjee S, Nyholt DR, Oostra BA, Palmer LJ, Palotie A, Penninx BW, Perola M, Peyser PA, Preisig M, Räikkönen K, Raitakari OT, Realo A, Ring SM, Ripatti S, Rivadeneira F, Rudan I, Rustichini A, Salomaa V, Sarin AP, Schlessinger D, Scott RJ, Snieder H, St Pourcain B, Starr JM, Sul JH, Surakka I, Svento R, Teumer A, Tiemeier H, van Rooij FJ, Van Wagoner DR, Vartiainen E, Viikari J, Vollenweider P, Vonk JM, Waeber G, Weir DR, Wichmann HE, Widen E, Willemsen G, Wilson JF, Wright AF, Conley D, Davey-Smith G, Franke L, Groenen PJ, Hofman A, Johannesson M, Kardia SL, Krueger RF, Laibson D, Martin NG, Meyer MN, Posthuma D, Thurik AR, Timpson NJ, Uitterlinden AG, van Duijn CM, Visscher PM, Benjamin DJ, Cesarini D, Koellinger PD.
PMID: 23722424
Science. 2013 Jun 21;340(6139):1467-71. doi: 10.1126/science.1235488. Epub 2013 May 30.

A genome-wide association study (GWAS) of educational attainment was conducted in a discovery sample of 101,069 individuals and a replication sample of 25,490. Three independent single-nucleotide polymorphisms (SNPs) are genome-wide significant (rs9320913, rs11584700, rs4851266), and all three replicate. Estimated...

Progress and Challenges for Live-cell Imaging of Genomic Loci Using CRISPR-based Platforms.

Genomics, proteomics & bioinformatics

Wu X, Mao S, Ying Y, Krueger CJ, Chen AK.
PMID: 30710789
Genomics Proteomics Bioinformatics. 2019 Apr;17(2):119-128. doi: 10.1016/j.gpb.2018.10.001. Epub 2019 Jan 30.

Chromatin conformation, localization, and dynamics are crucial regulators of cellular behaviors. Although fluorescence in situ hybridization-based techniques have been widely utilized for investigating chromatin architectures in healthy and diseased states, the requirement for cell fixation precludes the comprehensive dynamic...

Tissue-specific Network Analysis of Genetic Variants Associated with Coronary Artery Disease.

Scientific reports

Miao X, Chen X, Xie Z, Lin H.
PMID: 30065343
Sci Rep. 2018 Jul 31;8(1):11492. doi: 10.1038/s41598-018-29904-7.

Coronary artery disease (CAD) is a leading cause of death worldwide. Recent genome-wide association studies have identified more than one hundred susceptibility loci associated with CAD. However, the underlying mechanism of these genetic loci to CAD susceptibility is still...

Genetic architecture of type 1 diabetes with low genetic risk score informed by 41 unreported loci.

Communications biology

Qu HQ, Qu J, Bradfield J, Marchand L, Glessner J, Chang X, March M, Li J, Connolly JJ, Roizen JD, Sleiman P, Polychronakos C, Hakonarson H.
PMID: 34302048
Commun Biol. 2021 Jul 23;4(1):908. doi: 10.1038/s42003-021-02368-8.

Type 1 diabetes (T1D) patients with low genetic risk scores (GRS) may be non-autoimmune or autoimmune mediated by other genetic loci. The T1D-GRS2 provides us an opportunity to look into the genetic architecture of these patients. A total of...

Showing 1 to 12 of 44 entries