geschildert: ehlers-danlos-initiative.de/gwas/
Bei hEDS laufen einige Fäden zusammen. Vereinzelt wurde darauf zwar hingewiesen, aber von einer eigentlich angesagten Forschung im angemessen großen Stil ist mir bisher nichts bekannt.
Bei hEDS laufen einige Fäden zusammen. Vereinzelt wurde darauf zwar hingewiesen, aber von einer eigentlich angesagten Forschung im angemessen großen Stil ist mir bisher nichts bekannt.
GWAS hEDS - Deutsche Ehlers-Danlos Initiative e. V.
Neue GWAS zeigt genetische Risikofaktoren für das hypermobile Ehlers-Danlos-Syndrom (hEDS). Erkenntnisse für Diagnose und mögliche Therapieansätze.
ehlers-danlos-initiative.de
November 3, 2026 at 10:25 AM
geschildert: ehlers-danlos-initiative.de/gwas/
Bei hEDS laufen einige Fäden zusammen. Vereinzelt wurde darauf zwar hingewiesen, aber von einer eigentlich angesagten Forschung im angemessen großen Stil ist mir bisher nichts bekannt.
Bei hEDS laufen einige Fäden zusammen. Vereinzelt wurde darauf zwar hingewiesen, aber von einer eigentlich angesagten Forschung im angemessen großen Stil ist mir bisher nichts bekannt.
Genetische Strukturen von hEDS überschneiden sich mit denen der häufigsten Komorbiditäten und weisen "...deutliche Zusammenhänge mit ME/CFS, Fibromyalgie, Depression, Autismus-Spektrum-Störungen, Angststörungen, Migräne und gastrointestinalen Erkrankungen." auf. Das zeigt eine GWAS, wie hier
November 3, 2026 at 10:25 AM
Genetische Strukturen von hEDS überschneiden sich mit denen der häufigsten Komorbiditäten und weisen "...deutliche Zusammenhänge mit ME/CFS, Fibromyalgie, Depression, Autismus-Spektrum-Störungen, Angststörungen, Migräne und gastrointestinalen Erkrankungen." auf. Das zeigt eine GWAS, wie hier
The name is mostly straightforwardly derived from two Kartvelian roots:
*wacʲ- goat
Georgian ვაცი vaci
Megrelian ოჩი oči
Laz ბოჩი boči
Svan ღვაშ ğwaš
*wacʲ- goat
Georgian ვაცი vaci
Megrelian ოჩი oči
Laz ბოჩი boči
Svan ღვაშ ğwaš
November 1, 2026 at 10:08 AM
The name is mostly straightforwardly derived from two Kartvelian roots:
*wacʲ- goat
Georgian ვაცი vaci
Megrelian ოჩი oči
Laz ბოჩი boči
Svan ღვაშ ğwaš
*wacʲ- goat
Georgian ვაცი vaci
Megrelian ოჩი oči
Laz ბოჩი boči
Svan ღვაშ ğwaš
Scaling genetic discovery through automated post-GWAS interpretation
https://www.biorxiv.org/content/10.64898/2026.10.23.761278v1
November 2, 2026 at 9:52 AM
Scaling genetic discovery through automated post-GWAS interpretation
https://www.biorxiv.org/content/10.64898/2026.10.23.761278v1
Metabolic Syndrome root cause(see Brain Energy 📕Harvard psychiatrist Chris Palmer& website other Harvard associated Psych Georgia Ede Diagnosis Diet) genetics are both n& mito DNA based so beyond past GWAS studies
🔽systemic inflammation & autoimmune reactions also important. See NGO metabolic.mind
🔽systemic inflammation & autoimmune reactions also important. See NGO metabolic.mind
November 1, 2026 at 12:59 AM
Metabolic Syndrome root cause(see Brain Energy 📕Harvard psychiatrist Chris Palmer& website other Harvard associated Psych Georgia Ede Diagnosis Diet) genetics are both n& mito DNA based so beyond past GWAS studies
🔽systemic inflammation & autoimmune reactions also important. See NGO metabolic.mind
🔽systemic inflammation & autoimmune reactions also important. See NGO metabolic.mind
5/n
We also release GWAS results stratified by sex, ancestry, and phenotype definition, plus X-chromosome results and versions excluding UK Biobank. All summary statistics are publicly available (excl. 23andMe) here: cncr.nl/research/sum...
We also release GWAS results stratified by sex, ancestry, and phenotype definition, plus X-chromosome results and versions excluding UK Biobank. All summary statistics are publicly available (excl. 23andMe) here: cncr.nl/research/sum...
GWAS Summary Statistics - CNCR
GWAS Summary Statistics
cncr.nl
October 28, 2026 at 5:08 PM
5/n
We also release GWAS results stratified by sex, ancestry, and phenotype definition, plus X-chromosome results and versions excluding UK Biobank. All summary statistics are publicly available (excl. 23andMe) here: cncr.nl/research/sum...
We also release GWAS results stratified by sex, ancestry, and phenotype definition, plus X-chromosome results and versions excluding UK Biobank. All summary statistics are publicly available (excl. 23andMe) here: cncr.nl/research/sum...
Interesting new study:
Reassessment of a GWAS study of submergence survival in Arabidopsis highlights new genetic hubs and pathways involved in stress tolerance.
@isplore.bsky.social
link.springer.com/article/10.1...
Reassessment of a GWAS study of submergence survival in Arabidopsis highlights new genetic hubs and pathways involved in stress tolerance.
@isplore.bsky.social
link.springer.com/article/10.1...
Reassessment of a GWAS study of submergence survival in Arabidopsis highlights new genetic hubs and pathways involved in stress tolerance - Discover Plants
Climate change threatens global crop productivity, making it crucial to understand the genetic basis of plant stress tolerance. A decade ago, a genome-wide association study (GWAS) in Arabidopsis thal...
link.springer.com
October 28, 2026 at 12:57 PM
Interesting new study:
Reassessment of a GWAS study of submergence survival in Arabidopsis highlights new genetic hubs and pathways involved in stress tolerance.
@isplore.bsky.social
link.springer.com/article/10.1...
Reassessment of a GWAS study of submergence survival in Arabidopsis highlights new genetic hubs and pathways involved in stress tolerance.
@isplore.bsky.social
link.springer.com/article/10.1...
Mitochondrial dysfunction can be caused by maternal mDNA inheritance OR
paternal / maternal nDNA cellular process influences 💥 !!
So now “don’t blame just your Mother &why GWAS studies of nuclear DNA insufficient to show patterns related to complex diagnosis lmetabolic syndrome& mental ill health
paternal / maternal nDNA cellular process influences 💥 !!
So now “don’t blame just your Mother &why GWAS studies of nuclear DNA insufficient to show patterns related to complex diagnosis lmetabolic syndrome& mental ill health
Buhuu 👻 You absolutely cannot miss this week's edition of @biomednews.bsky.social Mitochondria in Health & Disease! Full collection available here: biomed.news/bims-mitdis/...
As always thanks to @gavinmcstay.bsky.social, @mitoscientist.bsky.social, @mitoworld.bsky.social and all mitoscientists!
As always thanks to @gavinmcstay.bsky.social, @mitoscientist.bsky.social, @mitoworld.bsky.social and all mitoscientists!
November 1, 2026 at 4:21 PM
Mitochondrial dysfunction can be caused by maternal mDNA inheritance OR
paternal / maternal nDNA cellular process influences 💥 !!
So now “don’t blame just your Mother &why GWAS studies of nuclear DNA insufficient to show patterns related to complex diagnosis lmetabolic syndrome& mental ill health
paternal / maternal nDNA cellular process influences 💥 !!
So now “don’t blame just your Mother &why GWAS studies of nuclear DNA insufficient to show patterns related to complex diagnosis lmetabolic syndrome& mental ill health
The Svan roots present a few surprises. The Svan word for 'goat' ღვაშ ğwaš has an epenthetic initial /ğ/, an indication of how unstable *w was in Svan. Initial *ḳ also sometimes underwent palatalization to /č̣/ - making Svan look more unusual than it actually is.
November 1, 2026 at 10:08 AM
The Svan roots present a few surprises. The Svan word for 'goat' ღვაშ ğwaš has an epenthetic initial /ğ/, an indication of how unstable *w was in Svan. Initial *ḳ also sometimes underwent palatalization to /č̣/ - making Svan look more unusual than it actually is.
these factors and TMD using Mendelian randomization (MR).
MATERIALS AND METHODS: We used publicly available GWAS summary statistics. TMD data were from Finn Gen R13 (23,035 cases; 477,151 controls). (🧵 2/6)
MATERIALS AND METHODS: We used publicly available GWAS summary statistics. TMD data were from Finn Gen R13 (23,035 cases; 477,151 controls). (🧵 2/6)
November 3, 2026 at 10:41 AM
these factors and TMD using Mendelian randomization (MR).
MATERIALS AND METHODS: We used publicly available GWAS summary statistics. TMD data were from Finn Gen R13 (23,035 cases; 477,151 controls). (🧵 2/6)
MATERIALS AND METHODS: We used publicly available GWAS summary statistics. TMD data were from Finn Gen R13 (23,035 cases; 477,151 controls). (🧵 2/6)
TenK10K phase 1: 5.4M scRNA-seq cells × 28 immune types from 1,925 donors—rare & common variants shape single-cell immune eQTLs, filling missing regulation that GWAS alone can't explain. @drjosephpowell.bsky.social @dgmacarthur.bsky.social
doi.org/10.1038/s415...
doi.org/10.1038/s415...
November 3, 2026 at 1:28 AM
TenK10K phase 1: 5.4M scRNA-seq cells × 28 immune types from 1,925 donors—rare & common variants shape single-cell immune eQTLs, filling missing regulation that GWAS alone can't explain. @drjosephpowell.bsky.social @dgmacarthur.bsky.social
doi.org/10.1038/s415...
doi.org/10.1038/s415...
🐶 🧬 🐕️ 🧬 🦮🧬 🐕🦺🧬 🐩
The latest #GWAS and trait analysis in #G3journal shows how domestication, demographic bottlenecks, and selective breeding have shaped patterns of homozygosity and contributed to the genetic architecture of complex traits in dogs.
🔗 buff.ly/ZSDAvzn
The latest #GWAS and trait analysis in #G3journal shows how domestication, demographic bottlenecks, and selective breeding have shaped patterns of homozygosity and contributed to the genetic architecture of complex traits in dogs.
🔗 buff.ly/ZSDAvzn
October 31, 2026 at 6:03 PM
🐶 🧬 🐕️ 🧬 🦮🧬 🐕🦺🧬 🐩
The latest #GWAS and trait analysis in #G3journal shows how domestication, demographic bottlenecks, and selective breeding have shaped patterns of homozygosity and contributed to the genetic architecture of complex traits in dogs.
🔗 buff.ly/ZSDAvzn
The latest #GWAS and trait analysis in #G3journal shows how domestication, demographic bottlenecks, and selective breeding have shaped patterns of homozygosity and contributed to the genetic architecture of complex traits in dogs.
🔗 buff.ly/ZSDAvzn
2/n
We identified 118 loci in the multi-ancestry GWAS and 9 more in the European-only GWAS (127 total), 48 of which are new. We prioritized 6 potential drug targets: KEAP1, SYK, AXL, RRM2B, and CACNA1S in new loci, and QPCT in a known locus.
We identified 118 loci in the multi-ancestry GWAS and 9 more in the European-only GWAS (127 total), 48 of which are new. We prioritized 6 potential drug targets: KEAP1, SYK, AXL, RRM2B, and CACNA1S in new loci, and QPCT in a known locus.
October 28, 2026 at 5:08 PM
2/n
We identified 118 loci in the multi-ancestry GWAS and 9 more in the European-only GWAS (127 total), 48 of which are new. We prioritized 6 potential drug targets: KEAP1, SYK, AXL, RRM2B, and CACNA1S in new loci, and QPCT in a known locus.
We identified 118 loci in the multi-ancestry GWAS and 9 more in the European-only GWAS (127 total), 48 of which are new. We prioritized 6 potential drug targets: KEAP1, SYK, AXL, RRM2B, and CACNA1S in new loci, and QPCT in a known locus.
Multi-season UAV phenotyping with temporal GWAS resolves stage-specific genetic control of wheat height, detecting growth-rate effects 100-200 GDD earlier than cumulative height. #WheatBreeding #TemporalGWAS #UAVPhenotyping
Details: doi.org/10.1016/j.pl...
Details: doi.org/10.1016/j.pl...
November 2, 2026 at 2:03 PM
Multi-season UAV phenotyping with temporal GWAS resolves stage-specific genetic control of wheat height, detecting growth-rate effects 100-200 GDD earlier than cumulative height. #WheatBreeding #TemporalGWAS #UAVPhenotyping
Details: doi.org/10.1016/j.pl...
Details: doi.org/10.1016/j.pl...
October 28, 2026 at 12:01 PM
🧬 A new sequence assembly of #grapevine varieties and the comparison of their pangenome #GWAS identified new structural variants related to adaptation.
Learn more in #G3journal 🔗 buff.ly/7eW5DCz
Learn more in #G3journal 🔗 buff.ly/7eW5DCz
October 31, 2026 at 4:04 PM
🧬 A new sequence assembly of #grapevine varieties and the comparison of their pangenome #GWAS identified new structural variants related to adaptation.
Learn more in #G3journal 🔗 buff.ly/7eW5DCz
Learn more in #G3journal 🔗 buff.ly/7eW5DCz
Diego took popgen theory and ran tons of simulations to calculate how many samples one needs on various scenarios of population structure, genetic basis - re-running some examples from the literature to estimate thresholds. (we need to stop thinking that GWAS needs >1,000 samples).
#IB2026
#IB2026
November 2, 2026 at 7:52 AM
Diego took popgen theory and ran tons of simulations to calculate how many samples one needs on various scenarios of population structure, genetic basis - re-running some examples from the literature to estimate thresholds. (we need to stop thinking that GWAS needs >1,000 samples).
#IB2026
#IB2026
🧬 Join CPGR & Thermo Fisher Scientific for a webinar on human genotyping for African research, featuring Axiom™ arrays, GWAS & pharmacogenomics in SA.
📅 3 Nov | 11:00-12:00 SAST
👉Register here: redcap.diplomics.org.za:8443/surveys/?s=M...
#Genomics #GWAS #CPGR
📅 3 Nov | 11:00-12:00 SAST
👉Register here: redcap.diplomics.org.za:8443/surveys/?s=M...
#Genomics #GWAS #CPGR
October 30, 2026 at 6:02 AM
🧬 Join CPGR & Thermo Fisher Scientific for a webinar on human genotyping for African research, featuring Axiom™ arrays, GWAS & pharmacogenomics in SA.
📅 3 Nov | 11:00-12:00 SAST
👉Register here: redcap.diplomics.org.za:8443/surveys/?s=M...
#Genomics #GWAS #CPGR
📅 3 Nov | 11:00-12:00 SAST
👉Register here: redcap.diplomics.org.za:8443/surveys/?s=M...
#Genomics #GWAS #CPGR
1/n
Out today in @Nature: our Alzheimer’s disease GWAS of ~2.8M people (~184k cases). We find 48 new loci, ~3x higher SNP-heritability, enrichment in genes up-regulated in microglia and down-regulated in neurons, and we release public summary statistics. www.nature.com/articles/s41...
Out today in @Nature: our Alzheimer’s disease GWAS of ~2.8M people (~184k cases). We find 48 new loci, ~3x higher SNP-heritability, enrichment in genes up-regulated in microglia and down-regulated in neurons, and we release public summary statistics. www.nature.com/articles/s41...
Alzheimer’s disease genetics converges on microglial and neuronal dysregulation - Nature
A multi-ancestry study of Alzheimer’s disease identifies new risk loci and potential drug targets, implicates microglia and neurons, and reveals a larger common-variant contribution than previously es...
www.nature.com
October 28, 2026 at 5:08 PM
1/n
Out today in @Nature: our Alzheimer’s disease GWAS of ~2.8M people (~184k cases). We find 48 new loci, ~3x higher SNP-heritability, enrichment in genes up-regulated in microglia and down-regulated in neurons, and we release public summary statistics. www.nature.com/articles/s41...
Out today in @Nature: our Alzheimer’s disease GWAS of ~2.8M people (~184k cases). We find 48 new loci, ~3x higher SNP-heritability, enrichment in genes up-regulated in microglia and down-regulated in neurons, and we release public summary statistics. www.nature.com/articles/s41...
연구 대상 및 방법: 공개된 GWAS 요약 통계를 활용하였다. TMD 데이터는 Finn Gen R13(환자군 23,035명; 477,151명의 대조군)에서 수집되었다. 체질량지수(BMI), 비타민 D, CRP 및 편두통에 대한 노출 데이터는 UK Biobank, SUNLIGHT, CHARGE 및 Finn Gen에서 확보하였다. 역분산 가중(IVW) 분석을 주요 방법으로 사용하였으며, 여러 가지 민감도 분석과 계층화 MR을 수행하였다. (🧵 2/4)
November 3, 2026 at 10:42 AM
연구 대상 및 방법: 공개된 GWAS 요약 통계를 활용하였다. TMD 데이터는 Finn Gen R13(환자군 23,035명; 477,151명의 대조군)에서 수집되었다. 체질량지수(BMI), 비타민 D, CRP 및 편두통에 대한 노출 데이터는 UK Biobank, SUNLIGHT, CHARGE 및 Finn Gen에서 확보하였다. 역분산 가중(IVW) 분석을 주요 방법으로 사용하였으며, 여러 가지 민감도 분석과 계층화 MR을 수행하였다. (🧵 2/4)
RRIDs were included in this in Genome Biology paper. We value the author's support of reproducibility. #RRID #OpenScience #OpenResearch
Integrative approach identifies SLC6A20 and CXCR6 as putative causal genes for the COVID-19 GWAS signal in the 3p21.31 locus
Read the full paper: Integrative approach identifies SLC6A20 and CXCR6 as putative causal genes for the COVID-19 GWAS signal in the 3p21.31 locus
doi.org
October 30, 2026 at 7:05 AM
RRIDs were included in this in Genome Biology paper. We value the author's support of reproducibility. #RRID #OpenScience #OpenResearch
By integrating the eQTLs from the TenK10K flagship paper (5.4M scRNA-seq and 1925 donors), we substantially improved our understanding of why many GWAS signals did not overlap with eQTL in previous studies.
October 31, 2026 at 12:05 AM
By integrating the eQTLs from the TenK10K flagship paper (5.4M scRNA-seq and 1925 donors), we substantially improved our understanding of why many GWAS signals did not overlap with eQTL in previous studies.
💻 maasMDS is available in the snputils package at
GitHub - AI-sandbox/snputils: Python toolkit for fast genotype I/O, ancestry analysis, population-genetics statistics, genotype QC, GWAS, and visualization
Python toolkit for fast genotype I/O, ancestry analysis, population-genetics statistics, genotype QC, GWAS, and visualization - AI-sandbox/snputils
github.com
October 29, 2026 at 10:02 AM
💻 maasMDS is available in the snputils package at
Comparisons with rodent/human single-cell atlases highlighted specific cell-type markers. Amygdala downregulated genes also overlapped with substance-use-disorder GWAS risk genes. Enrichment ≠ causation—but it gives us directions to test. 4/5
October 29, 2026 at 4:47 PM
Comparisons with rodent/human single-cell atlases highlighted specific cell-type markers. Amygdala downregulated genes also overlapped with substance-use-disorder GWAS risk genes. Enrichment ≠ causation—but it gives us directions to test. 4/5
Our estimates are on average ~40% lower than those from twin-based studies yet still quite large and uncounted for by GWAS to date.
October 26, 2026 at 12:30 PM
Our estimates are on average ~40% lower than those from twin-based studies yet still quite large and uncounted for by GWAS to date.